task e2e-llm-inference-service has failed: "step-fail-if-needed" exited with code 1: Error [get-kubeconfig] Found kubeconfig secret: cluster-gvhwx-admin-kubeconfig [get-kubeconfig] Wrote kubeconfig to /credentials/cluster-gvhwx-kubeconfig [get-kubeconfig] Found admin password secret: cluster-gvhwx-admin-password [get-kubeconfig] Retrieved username [get-kubeconfig] Wrote password to /credentials/cluster-gvhwx-password [get-kubeconfig] API Server URL: https://acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com:6443 [get-kubeconfig] Console URL: https://console-openshift-console.apps.292e3347-aff0-4cd1-8b47-8a27dce5782d.prod.konfluxeaas.com [clone-repo] work/RHOAIENG-79440 [clone-repo] https://github.com/jlost/kserve [clone-repo] Cloning into '/workspace/source'... [clone-repo] Updating files: 81% (2635/3251) Updating files: 82% (2666/3251) Updating files: 83% (2699/3251) Updating files: 84% (2731/3251) Updating files: 85% (2764/3251) Updating files: 86% (2796/3251) Updating files: 87% (2829/3251) Updating files: 88% (2861/3251) Updating files: 89% (2894/3251) Updating files: 90% (2926/3251) Updating files: 91% (2959/3251) Updating files: 92% (2991/3251) Updating files: 93% (3024/3251) Updating files: 94% (3056/3251) Updating files: 95% (3089/3251) Updating files: 96% (3121/3251) Updating files: 97% (3154/3251) Updating files: 98% (3186/3251) Updating files: 99% (3219/3251) Updating files: 100% (3251/3251) Updating files: 100% (3251/3251), 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 '.[$component_name].image' [e2e-llm-inference-service] + export KSERVE_AGENT_IMAGE=quay.io/opendatahub/kserve-agent@sha256:d2cb06ca9eeb023462e079ca78f69f867aac7089d74cc32b24351cfb0f653480 [e2e-llm-inference-service] + KSERVE_AGENT_IMAGE=quay.io/opendatahub/kserve-agent@sha256:d2cb06ca9eeb023462e079ca78f69f867aac7089d74cc32b24351cfb0f653480 [e2e-llm-inference-service] + COMPONENT_NAME=kserve-controller-ci [e2e-llm-inference-service] ++ jq -r --arg component_name kserve-controller-ci '.[$component_name].image' [e2e-llm-inference-service] + export KSERVE_CONTROLLER_IMAGE=quay.io/opendatahub/kserve-controller@sha256:147fe95b95d608b1ded94d3020e1b5a837760c7d296c09f9beafaa934c1fe9d7 [e2e-llm-inference-service] + KSERVE_CONTROLLER_IMAGE=quay.io/opendatahub/kserve-controller@sha256:147fe95b95d608b1ded94d3020e1b5a837760c7d296c09f9beafaa934c1fe9d7 [e2e-llm-inference-service] + COMPONENT_NAME=kserve-router-ci [e2e-llm-inference-service] ++ jq -r --arg component_name kserve-router-ci '.[$component_name].image' [e2e-llm-inference-service] + export KSERVE_ROUTER_IMAGE=quay.io/opendatahub/kserve-router@sha256:2d78b1e75ce4a3e633713c1f964bde1c2425164638b26ad77af20d6340c844d7 [e2e-llm-inference-service] + KSERVE_ROUTER_IMAGE=quay.io/opendatahub/kserve-router@sha256:2d78b1e75ce4a3e633713c1f964bde1c2425164638b26ad77af20d6340c844d7 [e2e-llm-inference-service] + COMPONENT_NAME=kserve-storage-initializer-ci [e2e-llm-inference-service] ++ jq -r --arg component_name kserve-storage-initializer-ci '.[$component_name].image' [e2e-llm-inference-service] + export STORAGE_INITIALIZER_IMAGE=quay.io/opendatahub/kserve-storage-initializer@sha256:3049312fa55515cbc94d5484b2c3ba6994735bde07ec862ad9b359b89e6c0af0 [e2e-llm-inference-service] + STORAGE_INITIALIZER_IMAGE=quay.io/opendatahub/kserve-storage-initializer@sha256:3049312fa55515cbc94d5484b2c3ba6994735bde07ec862ad9b359b89e6c0af0 [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:db3f49e79083b8d5ad19a51f3825c824dc9a5a14f33cff392210d0a6aa1c71ad [e2e-llm-inference-service] + LLMISVC_CONTROLLER_IMAGE=quay.io/opendatahub/odh-kserve-llmisvc-controller@sha256:db3f49e79083b8d5ad19a51f3825c824dc9a5a14f33cff392210d0a6aa1c71ad [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 4.21.26) [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-1821 [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-1821 [e2e-llm-inference-service] SUCCESS_200_ISVC_IMAGE=quay.io/opendatahub/success-200-isvc:odh-pr-1821 [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 274 packages in 1ms [e2e-llm-inference-service] Building kserve @ file:///workspace/source/python/kserve [e2e-llm-inference-service] Downloading aiohttp (1.7MiB) [e2e-llm-inference-service] Downloading pydantic-core (2.0MiB) [e2e-llm-inference-service] Downloading kubernetes (1.9MiB) [e2e-llm-inference-service] Downloading cryptography (4.5MiB) [e2e-llm-inference-service] Downloading pandas (12.5MiB) [e2e-llm-inference-service] Downloading uvloop (3.8MiB) [e2e-llm-inference-service] Downloading numpy (15.7MiB) [e2e-llm-inference-service] Downloading mypy (17.2MiB) [e2e-llm-inference-service] Downloading setuptools (1.2MiB) [e2e-llm-inference-service] Downloading portforward (3.9MiB) [e2e-llm-inference-service] Downloading pyarrow (40.1MiB) [e2e-llm-inference-service] Downloading black (1.6MiB) [e2e-llm-inference-service] Downloading grpcio-tools (2.5MiB) [e2e-llm-inference-service] Downloading botocore (12.9MiB) [e2e-llm-inference-service] Downloading grpcio (6.4MiB) [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] Built python-simple-logger==2.0.19 [e2e-llm-inference-service] Downloading portforward [e2e-llm-inference-service] Downloading uvloop [e2e-llm-inference-service] Downloading cryptography [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 mypy [e2e-llm-inference-service] Downloading pyarrow [e2e-llm-inference-service] Prepared 101 packages in 1.90s [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 314ms [e2e-llm-inference-service] + aiohappyeyeballs==2.6.1 [e2e-llm-inference-service] + aiohttp==3.14.1 [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==8.4.2 [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==49.0.0 [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==0.20.0rc0 (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==3.11.9 [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==2.13.0 [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==0.0.32 [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==2.7.0 [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 50ms [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://acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.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-plnv9 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-plnv9 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-vswvb 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-vswvb 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-nxwxq 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-nxwxq 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@sha256:147fe95b95d608b1ded94d3020e1b5a837760c7d296c09f9beafaa934c1fe9d7 [e2e-llm-inference-service] LLMISVC_CONTROLLER_IMAGE=quay.io/opendatahub/odh-kserve-llmisvc-controller@sha256:db3f49e79083b8d5ad19a51f3825c824dc9a5a14f33cff392210d0a6aa1c71ad [e2e-llm-inference-service] KSERVE_AGENT_IMAGE=quay.io/opendatahub/kserve-agent@sha256:d2cb06ca9eeb023462e079ca78f69f867aac7089d74cc32b24351cfb0f653480 [e2e-llm-inference-service] KSERVE_ROUTER_IMAGE=quay.io/opendatahub/kserve-router@sha256:2d78b1e75ce4a3e633713c1f964bde1c2425164638b26ad77af20d6340c844d7 [e2e-llm-inference-service] STORAGE_INITIALIZER_IMAGE=quay.io/opendatahub/kserve-storage-initializer@sha256:3049312fa55515cbc94d5484b2c3ba6994735bde07ec862ad9b359b89e6c0af0 [e2e-llm-inference-service] Installing KServe via kustomize... [e2e-llm-inference-service] === Final params.env [e2e-llm-inference-service] kserve-controller=quay.io/opendatahub/kserve-controller@sha256:147fe95b95d608b1ded94d3020e1b5a837760c7d296c09f9beafaa934c1fe9d7 [e2e-llm-inference-service] llmisvc-controller=quay.io/opendatahub/odh-kserve-llmisvc-controller@sha256:db3f49e79083b8d5ad19a51f3825c824dc9a5a14f33cff392210d0a6aa1c71ad [e2e-llm-inference-service] kserve-agent=quay.io/opendatahub/kserve-agent@sha256:d2cb06ca9eeb023462e079ca78f69f867aac7089d74cc32b24351cfb0f653480 [e2e-llm-inference-service] kserve-router=quay.io/opendatahub/kserve-router@sha256:2d78b1e75ce4a3e633713c1f964bde1c2425164638b26ad77af20d6340c844d7 [e2e-llm-inference-service] kserve-storage-initializer=quay.io/opendatahub/kserve-storage-initializer@sha256:3049312fa55515cbc94d5484b2c3ba6994735bde07ec862ad9b359b89e6c0af0 [e2e-llm-inference-service] kserve-llm-d=registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:fc68d623d1bfc36c8cb2fe4a71f19c8578cfb420ce8ce07b20a02c1ee0be0cf3 [e2e-llm-inference-service] kserve-llm-d-inference-scheduler=quay.io/opendatahub/odh-llm-d-router-endpoint-picker:v0.9.0 [e2e-llm-inference-service] kserve-llm-d-routing-sidecar=quay.io/opendatahub/odh-llm-d-router-disagg-sidecar:v0.9.0 [e2e-llm-inference-service] kserve-llm-d-uds-tokenizer=quay.io/opendatahub/llm-d-kv-cache:v0.8.0 [e2e-llm-inference-service] kserve-llm-d-nvidia-cuda=registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:fc68d623d1bfc36c8cb2fe4a71f19c8578cfb420ce8ce07b20a02c1ee0be0cf3 [e2e-llm-inference-service] kserve-llm-d-nvidia-cuda-fast-1=registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:fc68d623d1bfc36c8cb2fe4a71f19c8578cfb420ce8ce07b20a02c1ee0be0cf3 [e2e-llm-inference-service] kserve-llm-d-nvidia-cuda-fast-2=registry.redhat.io/rhaiis/vllm-cuda-rhel9@sha256:fc68d623d1bfc36c8cb2fe4a71f19c8578cfb420ce8ce07b20a02c1ee0be0cf3 [e2e-llm-inference-service] kserve-llm-d-nvidia-cuda-upstream-version=0.11.0+rhai5 [e2e-llm-inference-service] kserve-llm-d-nvidia-cuda-fast-1-upstream-version=0.11.0+rhai5 [e2e-llm-inference-service] kserve-llm-d-nvidia-cuda-fast-2-upstream-version=0.11.0+rhai5 [e2e-llm-inference-service] kserve-llm-d-amd-rocm=registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:d9a48add238cc095fa43eeee17c8c4d104de60c4dc623e0bc7f8c4b53b2b2e97 [e2e-llm-inference-service] kserve-llm-d-amd-rocm-fast-1=registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:d9a48add238cc095fa43eeee17c8c4d104de60c4dc623e0bc7f8c4b53b2b2e97 [e2e-llm-inference-service] kserve-llm-d-amd-rocm-fast-2=registry.redhat.io/rhaiis/vllm-rocm-rhel9@sha256:d9a48add238cc095fa43eeee17c8c4d104de60c4dc623e0bc7f8c4b53b2b2e97 [e2e-llm-inference-service] kserve-llm-d-amd-rocm-upstream-version=0.11.0+rhai5 [e2e-llm-inference-service] kserve-llm-d-amd-rocm-fast-1-upstream-version=0.11.0+rhai5 [e2e-llm-inference-service] kserve-llm-d-amd-rocm-fast-2-upstream-version=0.11.0+rhai5 [e2e-llm-inference-service] kserve-llm-d-intel-gaudi=registry.redhat.io/rhaii-early-access/vllm-gaudi-rhel9:3.4.0-ea.2 [e2e-llm-inference-service] kserve-llm-d-intel-gaudi-fast-1=registry.redhat.io/rhaii-early-access/vllm-gaudi-rhel9:3.4.0-ea.2 [e2e-llm-inference-service] kserve-llm-d-intel-gaudi-fast-2=registry.redhat.io/rhaii-early-access/vllm-gaudi-rhel9:3.4.0-ea.2 [e2e-llm-inference-service] kserve-llm-d-intel-gaudi-upstream-version=0.16.0 [e2e-llm-inference-service] kserve-llm-d-intel-gaudi-fast-1-upstream-version=0.16.0 [e2e-llm-inference-service] kserve-llm-d-intel-gaudi-fast-2-upstream-version=0.16.0 [e2e-llm-inference-service] kserve-llm-d-ibm-spyre=registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:80ae3e435a5be2c1f117f36599103ab05357917dd6e37f0df6613cb3ac2c13ea [e2e-llm-inference-service] kserve-llm-d-ibm-spyre-fast-1=registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:80ae3e435a5be2c1f117f36599103ab05357917dd6e37f0df6613cb3ac2c13ea [e2e-llm-inference-service] kserve-llm-d-ibm-spyre-fast-2=registry.redhat.io/rhaiis/vllm-spyre-rhel9@sha256:80ae3e435a5be2c1f117f36599103ab05357917dd6e37f0df6613cb3ac2c13ea [e2e-llm-inference-service] kserve-llm-d-ibm-spyre-upstream-version=0.10.2 [e2e-llm-inference-service] kserve-llm-d-ibm-spyre-fast-1-upstream-version=0.10.2 [e2e-llm-inference-service] kserve-llm-d-ibm-spyre-fast-2-upstream-version=0.10.2 [e2e-llm-inference-service] kserve-llm-d-latency-predictor-prediction=quay.io/opendatahub/odh-latency-predictor-prediction:odh-stable [e2e-llm-inference-service] kserve-llm-d-latency-predictor-training=quay.io/opendatahub/odh-latency-predictor-training:odh-stable [e2e-llm-inference-service] # TODO update when our changes are introduced in the official image [e2e-llm-inference-service] kube-rbac-proxy=quay.io/opendatahub/odh-kube-auth-proxy@sha256:dcb09fbabd8811f0956ef612a0c9ddd5236804b9bd6548a0647d2b531c9d01b3 [e2e-llm-inference-service] kserve-localmodel-controller=quay.io/opendatahub/odh-kserve-localmodel-controller:odh-master [e2e-llm-inference-service] kserve-localmodelnode-agent=quay.io/opendatahub/odh-kserve-localmodelnode-agent:odh-master [e2e-llm-inference-service] ovms-versioning-ubi-micro=registry.redhat.io/ubi9/ubi-micro@sha256:38e934147827349f2b8b11ac9c38d7be23cb8e29f128b1c46e5c7ae54a2d23cd [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/clusterstoragecontainers.serving.kserve.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/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] # 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.llm-d.ai serverside-applied [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/inferenceobjectives.llm-d.ai 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.llm-d.ai serverside-applied [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/inferenceobjectives.llm-d.ai 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-models-admin serverside-applied [e2e-llm-inference-service] clusterrole.rbac.authorization.k8s.io/kserve-models-edit serverside-applied [e2e-llm-inference-service] clusterrole.rbac.authorization.k8s.io/kserve-models-view 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-tls-distro-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/kserve-tls-distro-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-scheduler-latency-predictor 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-tokenizer 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-545d98d4c7-r4f6n 0/1 Running 0 6s [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-545d98d4c7-r4f6n 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 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.llm-d.ai serverside-applied [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/inferenceobjectives.llm-d.ai 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-models-admin serverside-applied [e2e-llm-inference-service] clusterrole.rbac.authorization.k8s.io/kserve-models-edit serverside-applied [e2e-llm-inference-service] clusterrole.rbac.authorization.k8s.io/kserve-models-view 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-tls-distro-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/kserve-tls-distro-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-scheduler-latency-predictor 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-tokenizer 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] 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...(4.21.26) [e2e-llm-inference-service] 🎯 Server version (4.21.26) 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 found, but not yet Succeeded (Phase: Installing). Waiting... (15/300) [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-gzvl7 1/1 Running 0 12s [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-gzvl7 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-5677ccb49b-nm79n 1/1 Running 0 5s [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-5677ccb49b-nm79n 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-58c5cd85c9-d6bph 1/1 Running 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-58c5cd85c9-d6bph 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] Waiting for CSV to be installed for subscription rhcl-operator... (20/600) [e2e-llm-inference-service] CSV rhcl-operator.v1.4.2 found, but not yet Succeeded (Phase: Installing). Waiting... (25/600) [e2e-llm-inference-service] CSV rhcl-operator.v1.4.2 found, but not yet Succeeded (Phase: Installing). Waiting... (30/600) [e2e-llm-inference-service] CSV rhcl-operator.v1.4.2 found, but not yet Succeeded (Phase: Installing). Waiting... (35/600) [e2e-llm-inference-service] CSV rhcl-operator.v1.4.2 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-56fb6f6856-jjhnc 1/1 Running 0 76s [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-56fb6f6856-jjhnc 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-56fb6f6856-jjhnc 1/1 Running 0 87s [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-56fb6f6856-jjhnc 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] Setting up Jaeger (Helm) for LLMISVC tracing e2e... [e2e-llm-inference-service] ⏳ Installing Jaeger All-in-One (Helm) into namespace observability [e2e-llm-inference-service] [INFO] Installing Helm v3.16.3 for linux/amd64... [e2e-llm-inference-service] [SUCCESS] Successfully installed Helm v3.16.3 to /workspace/source/bin/helm [e2e-llm-inference-service] WARNING: Kubernetes configuration file is group-readable. This is insecure. Location: /credentials/cluster-gvhwx-kubeconfig [e2e-llm-inference-service] WARNING: Kubernetes configuration file is world-readable. This is insecure. Location: /credentials/cluster-gvhwx-kubeconfig [e2e-llm-inference-service] version.BuildInfo{Version:"v3.16.3", GitCommit:"cfd07493f46efc9debd9cc1b02a0961186df7fdf", GitTreeState:"clean", GoVersion:"go1.22.7"} [e2e-llm-inference-service] [INFO] Adding Jaeger Helm repository... [e2e-llm-inference-service] WARNING: Kubernetes configuration file is group-readable. This is insecure. Location: /credentials/cluster-gvhwx-kubeconfig [e2e-llm-inference-service] WARNING: Kubernetes configuration file is world-readable. This is insecure. Location: /credentials/cluster-gvhwx-kubeconfig [e2e-llm-inference-service] "jaegertracing" has been added to your repositories [e2e-llm-inference-service] [INFO] Installing Jaeger All-in-One 4.7.0... [e2e-llm-inference-service] WARNING: Kubernetes configuration file is group-readable. This is insecure. Location: /credentials/cluster-gvhwx-kubeconfig [e2e-llm-inference-service] WARNING: Kubernetes configuration file is world-readable. This is insecure. Location: /credentials/cluster-gvhwx-kubeconfig [e2e-llm-inference-service] NAME: jaeger [e2e-llm-inference-service] LAST DEPLOYED: Tue Jul 28 17:22:18 2026 [e2e-llm-inference-service] NAMESPACE: observability [e2e-llm-inference-service] STATUS: deployed [e2e-llm-inference-service] REVISION: 1 [e2e-llm-inference-service] TEST SUITE: None [e2e-llm-inference-service] NOTES: [e2e-llm-inference-service] ################################################################### [e2e-llm-inference-service] ### ⚠️ EXPERIMENTAL - NO STABILITY GUARANTEES ### [e2e-llm-inference-service] ### ### [e2e-llm-inference-service] ### This chart is under active development. ### [e2e-llm-inference-service] ### Breaking changes may occur in minor versions. ### [e2e-llm-inference-service] ### ### [e2e-llm-inference-service] ### See README.md for configuration details. ### [e2e-llm-inference-service] ################################################################### [e2e-llm-inference-service] [e2e-llm-inference-service] 🚀 Congratulations on successfully installing Jaeger v2.17.0 (Chart v4.7.0)! [e2e-llm-inference-service] [e2e-llm-inference-service] To access the query UI: [e2e-llm-inference-service] export POD_NAME=$(kubectl get pods --namespace observability -l "app.kubernetes.io/instance=jaeger,app.kubernetes.io/component=all-in-one" -o jsonpath="{.items[0].metadata.name}") [e2e-llm-inference-service] kubectl port-forward --namespace observability $POD_NAME 16686:16686 --address 0.0.0.0 & [e2e-llm-inference-service] Visit http://127.0.0.1:16686/ [e2e-llm-inference-service] [SUCCESS] Successfully installed Jaeger All-in-One via Helm [e2e-llm-inference-service] [INFO] Waiting for pods with label 'app.kubernetes.io/name=jaeger' in namespace 'observability' to be created... [e2e-llm-inference-service] [INFO] Found 1 pod(s) with label 'app.kubernetes.io/name=jaeger' [e2e-llm-inference-service] [INFO] Waiting for pods with label 'app.kubernetes.io/name=jaeger' in namespace 'observability' to be ready... [e2e-llm-inference-service] pod/jaeger-6bbd7d4c9d-qgzht condition met [e2e-llm-inference-service] [SUCCESS] Pods with label 'app.kubernetes.io/name=jaeger' in namespace 'observability' are ready! [e2e-llm-inference-service] [SUCCESS] Jaeger is ready! [e2e-llm-inference-service] ⏳ Verifying Jaeger Service ports (OTLP 4317, Query 16686)... [e2e-llm-inference-service] ✅ Jaeger (Helm) ready — OTLP http://jaeger.observability.svc.cluster.local:4317 [e2e-llm-inference-service] Patching ingress domain... [e2e-llm-inference-service] configmap/inferenceservice-config patched [e2e-llm-inference-service] pod "kserve-controller-manager-cd4d44c67-vj9mq" deleted [e2e-llm-inference-service] Waiting for kserve-controller-manager to be ready... [e2e-llm-inference-service] pod/kserve-controller-manager-cd4d44c67-vxrj6 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-cuda-runtime-template 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: 4.21.26 [e2e-llm-inference-service] Kubernetes Version: v1.34.9 [e2e-llm-inference-service] ClusterVersion desired: 4.21.26 [e2e-llm-inference-service] ClusterVersion history (latest): 4.21.26 (Completed) [e2e-llm-inference-service] CSVs in kuadrant-system: [e2e-llm-inference-service] authorino-operator.v1.4.2 Succeeded [e2e-llm-inference-service] cert-manager-operator.v1.20.0 Succeeded [e2e-llm-inference-service] dns-operator.v1.4.1 Succeeded [e2e-llm-inference-service] limitador-operator.v1.4.1 Succeeded [e2e-llm-inference-service] rhcl-operator.v1.4.2 Succeeded [e2e-llm-inference-service] CSVs in openshift-keda: [e2e-llm-inference-service] authorino-operator.v1.4.2 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.v1.4.1 Succeeded [e2e-llm-inference-service] limitador-operator.v1.4.1 Succeeded [e2e-llm-inference-service] rhcl-operator.v1.4.2 Succeeded [e2e-llm-inference-service] CSVs in cert-manager-operator: [e2e-llm-inference-service] authorino-operator.v1.4.2 Succeeded [e2e-llm-inference-service] cert-manager-operator.v1.20.0 Succeeded [e2e-llm-inference-service] dns-operator.v1.4.1 Succeeded [e2e-llm-inference-service] limitador-operator.v1.4.1 Succeeded [e2e-llm-inference-service] rhcl-operator.v1.4.2 Succeeded [e2e-llm-inference-service] CSVs in openshift-lws-operator: [e2e-llm-inference-service] authorino-operator.v1.4.2 Succeeded [e2e-llm-inference-service] cert-manager-operator.v1.20.0 Succeeded [e2e-llm-inference-service] dns-operator.v1.4.1 Succeeded [e2e-llm-inference-service] leader-worker-set.v1.0.0 Succeeded [e2e-llm-inference-service] limitador-operator.v1.4.1 Succeeded [e2e-llm-inference-service] rhcl-operator.v1.4.2 Succeeded [e2e-llm-inference-service] CSVs in openshift-operators (ODH / shared operators, filtered): [e2e-llm-inference-service] authorino-operator.v1.4.2 Succeeded [e2e-llm-inference-service] dns-operator.v1.4.1 Succeeded [e2e-llm-inference-service] limitador-operator.v1.4.1 Succeeded [e2e-llm-inference-service] rhcl-operator.v1.4.2 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.v1.4.2 [e2e-llm-inference-service] dns-operator-stable-redhat-operators-openshift-marketplace stable redhat-operators dns-operator.v1.4.1 [e2e-llm-inference-service] limitador-operator-stable-redhat-operators-openshift-marketplace stable redhat-operators limitador-operator.v1.4.1 [e2e-llm-inference-service] rhcl-operator stable redhat-operators rhcl-operator.v1.4.2 [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@sha256:147fe95b95d608b1ded94d3020e1b5a837760c7d296c09f9beafaa934c1fe9d7 [e2e-llm-inference-service] imageID: quay.io/opendatahub/kserve-controller@sha256:147fe95b95d608b1ded94d3020e1b5a837760c7d296c09f9beafaa934c1fe9d7 [e2e-llm-inference-service] odh-model-controller: ready=1 image=quay.io/opendatahub/odh-model-controller:odh-incubating [e2e-llm-inference-service] imageID: quay.io/opendatahub/odh-model-controller@sha256:b5c835d640b650f164ba7f36d7008760c88e2974efa65853ee167323c441580c [e2e-llm-inference-service] llmisvc-controller-manager: ready=1 image=quay.io/opendatahub/odh-kserve-llmisvc-controller@sha256:db3f49e79083b8d5ad19a51f3825c824dc9a5a14f33cff392210d0a6aa1c71ad [e2e-llm-inference-service] imageID: quay.io/opendatahub/odh-kserve-llmisvc-controller@sha256:77c0c8e0b30f40efcf2f0417b910a58f8b07503b5e75a61bdb9ab9efab31d46f [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-5.14.0-570.124.1.el9_6.x86_64-x86_64-with-glibc2.34', 'Packages': {'pytest': '7.4.4', 'pluggy': '1.5.0'}, 'Plugins': {'metadata': '3.1.1', 'httpx': '0.30.0', 'cov': '5.0.0', 'asyncio': '0.23.8', 'xdist': '3.6.1', 'anyio': '4.9.0', 'json-report': '1.5.0'}, 'PLATFORM': 'el9'} [e2e-llm-inference-service] rootdir: /workspace/source/test/e2e [e2e-llm-inference-service] configfile: pytest.ini [e2e-llm-inference-service] plugins: metadata-3.1.1, httpx-0.30.0, cov-5.0.0, asyncio-0.23.8, xdist-3.6.1, anyio-4.9.0, json-report-1.5.0 [e2e-llm-inference-service] asyncio: mode=Mode.STRICT [e2e-llm-inference-service] created: 2/2 workers [e2e-llm-inference-service] 2 workers [73 items] [e2e-llm-inference-service] [e2e-llm-inference-service] scheduling tests via WorkStealingScheduling [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_flow_control.py::test_flow_control_smoke[cluster_cpu-cluster_single_node-flow-control-utilization-detector] 2026-07-28 17:24:55.140 6481 kserve INFO [conftest.py:configure_logger():40] Logger configured [e2e-llm-inference-service] 2026-07-28 17:24:55.142 6478 kserve INFO [conftest.py:configure_logger():40] Logger configured [e2e-llm-inference-service] [e2e-llm-inference-service] [gw0] PASSED llmisvc/test_flow_control.py::test_flow_control_smoke[cluster_cpu-cluster_single_node-flow-control-utilization-detector] [e2e-llm-inference-service] llmisvc/test_flow_control.py::test_flow_control_smoke[cluster_cpu-cluster_single_node-flow-control-concurrency-detector] [e2e-llm-inference-service] [gw0] PASSED llmisvc/test_flow_control.py::test_flow_control_smoke[cluster_cpu-cluster_single_node-flow-control-concurrency-detector] [e2e-llm-inference-service] llmisvc/test_gateway_section_name.py::test_gateway_section_name_propagation[cluster_single_node-cluster_cpu-with-section-name] 2026-07-28 17:28:03.929 6478 kserve.trace Checking Gateway router-gateway-1 in namespace e2e-test-gateway-section-name-propagation-49b5edd9 [e2e-llm-inference-service] 2026-07-28 17:28:03.929 6478 kserve.trace INFO [gw_api.py:create_or_update_gateway():34] Checking Gateway router-gateway-1 in namespace e2e-test-gateway-section-name-propagation-49b5edd9 [e2e-llm-inference-service] 2026-07-28 17:28:03.968 6478 kserve.trace Resource not found, creating Gateway router-gateway-1 [e2e-llm-inference-service] 2026-07-28 17:28:03.968 6478 kserve.trace INFO [gw_api.py:create_or_update_gateway():62] Resource not found, creating Gateway router-gateway-1 [e2e-llm-inference-service] 2026-07-28 17:28:03.987 6478 kserve.trace ✓ Successfully created Gateway router-gateway-1 [e2e-llm-inference-service] 2026-07-28 17:28:03.987 6478 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] 2026-07-28 17:28:12.127 6478 kserve.trace Checking Gateway router-gateway-1 in namespace e2e-test-gateway-section-name-propagation-94799d44 [e2e-llm-inference-service] 2026-07-28 17:28:12.127 6478 kserve.trace INFO [gw_api.py:create_or_update_gateway():34] Checking Gateway router-gateway-1 in namespace e2e-test-gateway-section-name-propagation-94799d44 [e2e-llm-inference-service] 2026-07-28 17:28:12.157 6478 kserve.trace Resource not found, creating Gateway router-gateway-1 [e2e-llm-inference-service] 2026-07-28 17:28:12.157 6478 kserve.trace INFO [gw_api.py:create_or_update_gateway():62] Resource not found, creating Gateway router-gateway-1 [e2e-llm-inference-service] 2026-07-28 17:28:12.163 6478 kserve.trace ✓ Successfully created Gateway router-gateway-1 [e2e-llm-inference-service] 2026-07-28 17:28:12.163 6478 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-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-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] [gw0] PASSED 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] [gw1] 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] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-scheduler-with-inline-config-workload-llmd-simulator] [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-inline-config-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-llmd-simulator-model-qwen2.5-0.5b] [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-simulator-model-qwen2.5-0.5b] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-scheduler-with-configmap-ref-workload-llmd-simulator] [e2e-llm-inference-service] [gw0] FAILED 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] [gw1] PASSED llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-scheduler-with-configmap-ref-workload-llmd-simulator] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-scheduler-with-replicas-workload-llmd-simulator] [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-replicas-workload-llmd-simulator] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-scheduler-with-custom-template-workload-llmd-simulator] [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-custom-template-workload-llmd-simulator] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-scheduler-v06-pd-config-migration-workload-llmd-simulator-pd] [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_autoscaling_wva.py::test_llm_autoscaling_hpa_deployment[cluster_cpu-cluster_single_node-router-managed-workload-llmd-simulator-no-replicas-prometheus-scrape-scaling-hpa] [e2e-llm-inference-service] [gw1] PASSED llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-scheduler-v06-pd-config-migration-workload-llmd-simulator-pd] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-scheduler-v06-nonzero-threshold-migration-workload-llmd-simulator-pd] [e2e-llm-inference-service] [gw1] PASSED llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-scheduler-v06-nonzero-threshold-migration-workload-llmd-simulator-pd] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-scheduler-with-tokenizer-kvcache-workload-llmd-simulator-kvcache] [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-tokenizer-kvcache-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-scheduler-with-precise-prefix-cache-inline-config-workload-llmd-simulator-kvcache] [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] [gw1] PASSED 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] [gw1] PASSED 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] [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] FAILED llmisvc/test_llm_autoscaling_wva.py::test_llm_autoscaling_hpa_deployment[cluster_cpu-cluster_single_node-router-managed-workload-llmd-simulator-no-replicas-prometheus-scrape-scaling-hpa] [e2e-llm-inference-service] llmisvc/test_llm_autoscaling_wva.py::test_llm_autoscaling_keda_deployment[cluster_cpu-cluster_single_node-router-managed-workload-llmd-simulator-no-replicas-prometheus-scrape-scaling-keda] [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-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_autoscaling_wva.py::test_llm_autoscaling_keda_deployment[cluster_cpu-cluster_single_node-router-managed-workload-llmd-simulator-no-replicas-prometheus-scrape-scaling-keda] [e2e-llm-inference-service] llmisvc/test_llm_autoscaling_wva.py::test_llm_autoscaling_hpa_lws[cluster_cpu-cluster_multi_node-router-managed-workload-llmd-simulator-lws-prometheus-scrape-scaling-hpa] [e2e-llm-inference-service] [gw1] FAILED 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_autoscaling_wva.py::test_llm_autoscaling_hpa_lws[cluster_cpu-cluster_multi_node-router-managed-workload-llmd-simulator-lws-prometheus-scrape-scaling-hpa] [e2e-llm-inference-service] llmisvc/test_llm_autoscaling_wva.py::test_llm_autoscaling_keda_lws[cluster_cpu-cluster_multi_node-router-managed-workload-llmd-simulator-lws-prometheus-scrape-scaling-keda] [e2e-llm-inference-service] [gw1] FAILED 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_config_deletion.py::test_config_finalizer_added [e2e-llm-inference-service] [gw1] PASSED llmisvc/test_llm_inference_service_config_deletion.py::test_config_finalizer_added [e2e-llm-inference-service] llmisvc/test_llm_inference_service_config_deletion.py::test_config_deletion_blocked_when_referenced [e2e-llm-inference-service] [gw1] PASSED llmisvc/test_llm_inference_service_config_deletion.py::test_config_deletion_blocked_when_referenced [e2e-llm-inference-service] llmisvc/test_llm_inference_service_config_deletion.py::test_config_deletion_allowed_when_unreferenced [e2e-llm-inference-service] [gw1] PASSED llmisvc/test_llm_inference_service_config_deletion.py::test_config_deletion_allowed_when_unreferenced [e2e-llm-inference-service] llmisvc/test_llm_inference_service_config_deletion.py::test_config_deletion_unblocked_after_service_deleted [e2e-llm-inference-service] [gw1] PASSED llmisvc/test_llm_inference_service_config_deletion.py::test_config_deletion_unblocked_after_service_deleted [e2e-llm-inference-service] llmisvc/test_llm_inference_service_config_deletion.py::test_well_known_config_deletion_prevented_by_webhook [e2e-llm-inference-service] [gw1] PASSED llmisvc/test_llm_inference_service_config_deletion.py::test_well_known_config_deletion_prevented_by_webhook [e2e-llm-inference-service] llmisvc/test_llm_inference_service_config_deletion.py::test_well_known_config_deletion_blocked_by_implicit_reference [e2e-llm-inference-service] [gw1] PASSED llmisvc/test_llm_inference_service_config_deletion.py::test_well_known_config_deletion_blocked_by_implicit_reference [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] [gw0] FAILED llmisvc/test_llm_autoscaling_wva.py::test_llm_autoscaling_keda_lws[cluster_cpu-cluster_multi_node-router-managed-workload-llmd-simulator-lws-prometheus-scrape-scaling-keda] [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] [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] FAILED 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] [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] self = [e2e-llm-inference-service] [e2e-llm-inference-service] def _new_conn(self) -> socket.socket: [e2e-llm-inference-service] """Establish a socket connection and set nodelay settings on it. [e2e-llm-inference-service] [e2e-llm-inference-service] :return: New socket connection. [e2e-llm-inference-service] """ [e2e-llm-inference-service] try: [e2e-llm-inference-service] > sock = connection.create_connection( [e2e-llm-inference-service] (self._dns_host, self.port), [e2e-llm-inference-service] self.timeout, [e2e-llm-inference-service] source_address=self.source_address, [e2e-llm-inference-service] socket_options=self.socket_options, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connection.py:204: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] address = ('acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com', 6443) [e2e-llm-inference-service] timeout = None, source_address = None, socket_options = [(6, 1, 1)] [e2e-llm-inference-service] [e2e-llm-inference-service] def create_connection( [e2e-llm-inference-service] address: tuple[str, int], [e2e-llm-inference-service] timeout: _TYPE_TIMEOUT = _DEFAULT_TIMEOUT, [e2e-llm-inference-service] source_address: tuple[str, int] | None = None, [e2e-llm-inference-service] socket_options: _TYPE_SOCKET_OPTIONS | None = None, [e2e-llm-inference-service] ) -> socket.socket: [e2e-llm-inference-service] """Connect to *address* and return the socket object. [e2e-llm-inference-service] [e2e-llm-inference-service] Convenience function. Connect to *address* (a 2-tuple ``(host, [e2e-llm-inference-service] port)``) and return the socket object. Passing the optional [e2e-llm-inference-service] *timeout* parameter will set the timeout on the socket instance [e2e-llm-inference-service] before attempting to connect. If no *timeout* is supplied, the [e2e-llm-inference-service] global default timeout setting returned by :func:`socket.getdefaulttimeout` [e2e-llm-inference-service] is used. If *source_address* is set it must be a tuple of (host, port) [e2e-llm-inference-service] for the socket to bind as a source address before making the connection. [e2e-llm-inference-service] An host of '' or port 0 tells the OS to use the default. [e2e-llm-inference-service] """ [e2e-llm-inference-service] [e2e-llm-inference-service] host, port = address [e2e-llm-inference-service] if host.startswith("["): [e2e-llm-inference-service] host = host.strip("[]") [e2e-llm-inference-service] err = None [e2e-llm-inference-service] [e2e-llm-inference-service] # Using the value from allowed_gai_family() in the context of getaddrinfo lets [e2e-llm-inference-service] # us select whether to work with IPv4 DNS records, IPv6 records, or both. [e2e-llm-inference-service] # The original create_connection function always returns all records. [e2e-llm-inference-service] family = allowed_gai_family() [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] host.encode("idna") [e2e-llm-inference-service] except UnicodeError: [e2e-llm-inference-service] raise LocationParseError(f"'{host}', label empty or too long") from None [e2e-llm-inference-service] [e2e-llm-inference-service] > for res in socket.getaddrinfo(host, port, family, socket.SOCK_STREAM): [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/util/connection.py:60: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] host = 'acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com' [e2e-llm-inference-service] port = 6443, family = [e2e-llm-inference-service] type = , proto = 0, flags = 0 [e2e-llm-inference-service] [e2e-llm-inference-service] def getaddrinfo(host, port, family=0, type=0, proto=0, flags=0): [e2e-llm-inference-service] """Resolve host and port into list of address info entries. [e2e-llm-inference-service] [e2e-llm-inference-service] Translate the host/port argument into a sequence of 5-tuples that contain [e2e-llm-inference-service] all the necessary arguments for creating a socket connected to that service. [e2e-llm-inference-service] host is a domain name, a string representation of an IPv4/v6 address or [e2e-llm-inference-service] None. port is a string service name such as 'http', a numeric port number or [e2e-llm-inference-service] None. By passing None as the value of host and port, you can pass NULL to [e2e-llm-inference-service] the underlying C API. [e2e-llm-inference-service] [e2e-llm-inference-service] The family, type and proto arguments can be optionally specified in order to [e2e-llm-inference-service] narrow the list of addresses returned. Passing zero as a value for each of [e2e-llm-inference-service] these arguments selects the full range of results. [e2e-llm-inference-service] """ [e2e-llm-inference-service] # We override this function since we want to translate the numeric family [e2e-llm-inference-service] # and socket type values to enum constants. [e2e-llm-inference-service] addrlist = [] [e2e-llm-inference-service] > for res in _socket.getaddrinfo(host, port, family, type, proto, flags): [e2e-llm-inference-service] E socket.gaierror: [Errno -2] Name or service not known [e2e-llm-inference-service] [e2e-llm-inference-service] /usr/lib64/python3.11/socket.py:974: gaierror [e2e-llm-inference-service] [e2e-llm-inference-service] The above exception was the direct cause of the following exception: [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] method = 'POST', url = '/api/v1/namespaces' [e2e-llm-inference-service] body = '{"metadata": {"labels": {"kserve.io/e2e-test": "true"}, "name": "e2e-test-rolling-upgrade-coordination-a9229638"}}' [e2e-llm-inference-service] headers = HTTPHeaderDict({'Accept': 'application/json', 'User-Agent': 'OpenAPI-Generator/32.0.1/python', 'Content-Type': 'application/json'}) [e2e-llm-inference-service] retries = Retry(total=0, connect=None, read=None, redirect=None, status=None) [e2e-llm-inference-service] redirect = False, assert_same_host = False, timeout = None, pool_timeout = None [e2e-llm-inference-service] release_conn = True, chunked = False, body_pos = None, preload_content = True [e2e-llm-inference-service] decode_content = True, response_kw = {}, destination_scheme = None, conn = None [e2e-llm-inference-service] release_this_conn = True, http_tunnel_required = False, err = None [e2e-llm-inference-service] clean_exit = False [e2e-llm-inference-service] [e2e-llm-inference-service] def urlopen( # type: ignore[override] [e2e-llm-inference-service] self, [e2e-llm-inference-service] method: str, [e2e-llm-inference-service] url: str, [e2e-llm-inference-service] body: _TYPE_BODY | None = None, [e2e-llm-inference-service] headers: typing.Mapping[str, str] | None = None, [e2e-llm-inference-service] retries: Retry | bool | int | None = None, [e2e-llm-inference-service] redirect: bool = True, [e2e-llm-inference-service] assert_same_host: bool = True, [e2e-llm-inference-service] timeout: _TYPE_TIMEOUT = _DEFAULT_TIMEOUT, [e2e-llm-inference-service] pool_timeout: int | None = None, [e2e-llm-inference-service] release_conn: bool | None = None, [e2e-llm-inference-service] chunked: bool = False, [e2e-llm-inference-service] body_pos: _TYPE_BODY_POSITION | None = None, [e2e-llm-inference-service] preload_content: bool = True, [e2e-llm-inference-service] decode_content: bool = True, [e2e-llm-inference-service] **response_kw: typing.Any, [e2e-llm-inference-service] ) -> BaseHTTPResponse: [e2e-llm-inference-service] """ [e2e-llm-inference-service] Get a connection from the pool and perform an HTTP request. This is the [e2e-llm-inference-service] lowest level call for making a request, so you'll need to specify all [e2e-llm-inference-service] the raw details. [e2e-llm-inference-service] [e2e-llm-inference-service] .. note:: [e2e-llm-inference-service] [e2e-llm-inference-service] More commonly, it's appropriate to use a convenience method [e2e-llm-inference-service] such as :meth:`request`. [e2e-llm-inference-service] [e2e-llm-inference-service] .. note:: [e2e-llm-inference-service] [e2e-llm-inference-service] `release_conn` will only behave as expected if [e2e-llm-inference-service] `preload_content=False` because we want to make [e2e-llm-inference-service] `preload_content=False` the default behaviour someday soon without [e2e-llm-inference-service] breaking backwards compatibility. [e2e-llm-inference-service] [e2e-llm-inference-service] :param method: [e2e-llm-inference-service] HTTP request method (such as GET, POST, PUT, etc.) [e2e-llm-inference-service] [e2e-llm-inference-service] :param url: [e2e-llm-inference-service] The URL to perform the request on. [e2e-llm-inference-service] [e2e-llm-inference-service] :param body: [e2e-llm-inference-service] Data to send in the request body, either :class:`str`, :class:`bytes`, [e2e-llm-inference-service] an iterable of :class:`str`/:class:`bytes`, or a file-like object. [e2e-llm-inference-service] [e2e-llm-inference-service] :param headers: [e2e-llm-inference-service] Dictionary of custom headers to send, such as User-Agent, [e2e-llm-inference-service] If-None-Match, etc. If None, pool headers are used. If provided, [e2e-llm-inference-service] these headers completely replace any pool-specific headers. [e2e-llm-inference-service] [e2e-llm-inference-service] :param retries: [e2e-llm-inference-service] Configure the number of retries to allow before raising a [e2e-llm-inference-service] :class:`~urllib3.exceptions.MaxRetryError` exception. [e2e-llm-inference-service] [e2e-llm-inference-service] If ``None`` (default) will retry 3 times, see ``Retry.DEFAULT``. Pass a [e2e-llm-inference-service] :class:`~urllib3.util.retry.Retry` object for fine-grained control [e2e-llm-inference-service] over different types of retries. [e2e-llm-inference-service] Pass an integer number to retry connection errors that many times, [e2e-llm-inference-service] but no other types of errors. Pass zero to never retry. [e2e-llm-inference-service] [e2e-llm-inference-service] If ``False``, then retries are disabled and any exception is raised [e2e-llm-inference-service] immediately. Also, instead of raising a MaxRetryError on redirects, [e2e-llm-inference-service] the redirect response will be returned. [e2e-llm-inference-service] [e2e-llm-inference-service] :type retries: :class:`~urllib3.util.retry.Retry`, False, or an int. [e2e-llm-inference-service] [e2e-llm-inference-service] :param redirect: [e2e-llm-inference-service] If True, automatically handle redirects (status codes 301, 302, [e2e-llm-inference-service] 303, 307, 308). Each redirect counts as a retry. Disabling retries [e2e-llm-inference-service] will disable redirect, too. [e2e-llm-inference-service] [e2e-llm-inference-service] :param assert_same_host: [e2e-llm-inference-service] If ``True``, will make sure that the host of the pool requests is [e2e-llm-inference-service] consistent else will raise HostChangedError. When ``False``, you can [e2e-llm-inference-service] use the pool on an HTTP proxy and request foreign hosts. [e2e-llm-inference-service] [e2e-llm-inference-service] :param timeout: [e2e-llm-inference-service] If specified, overrides the default timeout for this one [e2e-llm-inference-service] request. It may be a float (in seconds) or an instance of [e2e-llm-inference-service] :class:`urllib3.util.Timeout`. [e2e-llm-inference-service] [e2e-llm-inference-service] :param pool_timeout: [e2e-llm-inference-service] If set and the pool is set to block=True, then this method will [e2e-llm-inference-service] block for ``pool_timeout`` seconds and raise EmptyPoolError if no [e2e-llm-inference-service] connection is available within the time period. [e2e-llm-inference-service] [e2e-llm-inference-service] :param bool preload_content: [e2e-llm-inference-service] If True, the response's body will be preloaded into memory. [e2e-llm-inference-service] [e2e-llm-inference-service] :param bool decode_content: [e2e-llm-inference-service] If True, will attempt to decode the body based on the [e2e-llm-inference-service] 'content-encoding' header. [e2e-llm-inference-service] [e2e-llm-inference-service] :param release_conn: [e2e-llm-inference-service] If False, then the urlopen call will not release the connection [e2e-llm-inference-service] back into the pool once a response is received (but will release if [e2e-llm-inference-service] you read the entire contents of the response such as when [e2e-llm-inference-service] `preload_content=True`). This is useful if you're not preloading [e2e-llm-inference-service] the response's content immediately. You will need to call [e2e-llm-inference-service] ``r.release_conn()`` on the response ``r`` to return the connection [e2e-llm-inference-service] back into the pool. If None, it takes the value of ``preload_content`` [e2e-llm-inference-service] which defaults to ``True``. [e2e-llm-inference-service] [e2e-llm-inference-service] :param bool chunked: [e2e-llm-inference-service] If True, urllib3 will send the body using chunked transfer [e2e-llm-inference-service] encoding. Otherwise, urllib3 will send the body using the standard [e2e-llm-inference-service] content-length form. Defaults to False. [e2e-llm-inference-service] [e2e-llm-inference-service] :param int body_pos: [e2e-llm-inference-service] Position to seek to in file-like body in the event of a retry or [e2e-llm-inference-service] redirect. Typically this won't need to be set because urllib3 will [e2e-llm-inference-service] auto-populate the value when needed. [e2e-llm-inference-service] """ [e2e-llm-inference-service] # Ensure that the URL we're connecting to is properly encoded [e2e-llm-inference-service] if url.startswith("/"): [e2e-llm-inference-service] # URLs starting with / are inherently schemeless. [e2e-llm-inference-service] url = to_str(_encode_target(url)) [e2e-llm-inference-service] destination_scheme = None [e2e-llm-inference-service] else: [e2e-llm-inference-service] parsed_url = parse_url(url) [e2e-llm-inference-service] destination_scheme = parsed_url.scheme [e2e-llm-inference-service] url = to_str(parsed_url.url) [e2e-llm-inference-service] [e2e-llm-inference-service] if headers is None: [e2e-llm-inference-service] headers = self.headers [e2e-llm-inference-service] [e2e-llm-inference-service] if not isinstance(retries, Retry): [e2e-llm-inference-service] retries = Retry.from_int(retries, redirect=redirect, default=self.retries) [e2e-llm-inference-service] [e2e-llm-inference-service] if release_conn is None: [e2e-llm-inference-service] release_conn = preload_content [e2e-llm-inference-service] [e2e-llm-inference-service] # Check host [e2e-llm-inference-service] if assert_same_host and not self.is_same_host(url): [e2e-llm-inference-service] raise HostChangedError(self, url, retries) [e2e-llm-inference-service] [e2e-llm-inference-service] conn = None [e2e-llm-inference-service] [e2e-llm-inference-service] # Track whether `conn` needs to be released before [e2e-llm-inference-service] # returning/raising/recursing. Update this variable if necessary, and [e2e-llm-inference-service] # leave `release_conn` constant throughout the function. That way, if [e2e-llm-inference-service] # the function recurses, the original value of `release_conn` will be [e2e-llm-inference-service] # passed down into the recursive call, and its value will be respected. [e2e-llm-inference-service] # [e2e-llm-inference-service] # See issue #651 [1] for details. [e2e-llm-inference-service] # [e2e-llm-inference-service] # [1] [e2e-llm-inference-service] release_this_conn = release_conn [e2e-llm-inference-service] [e2e-llm-inference-service] http_tunnel_required = connection_requires_http_tunnel( [e2e-llm-inference-service] self.proxy, self.proxy_config, destination_scheme [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] # Merge the proxy headers. Only done when not using HTTP CONNECT. We [e2e-llm-inference-service] # have to copy the headers dict so we can safely change it without those [e2e-llm-inference-service] # changes being reflected in anyone else's copy. [e2e-llm-inference-service] if not http_tunnel_required: [e2e-llm-inference-service] headers = headers.copy() # type: ignore[attr-defined] [e2e-llm-inference-service] headers.update(self.proxy_headers) # type: ignore[union-attr] [e2e-llm-inference-service] [e2e-llm-inference-service] # Must keep the exception bound to a separate variable or else Python 3 [e2e-llm-inference-service] # complains about UnboundLocalError. [e2e-llm-inference-service] err = None [e2e-llm-inference-service] [e2e-llm-inference-service] # Keep track of whether we cleanly exited the except block. This [e2e-llm-inference-service] # ensures we do proper cleanup in finally. [e2e-llm-inference-service] clean_exit = False [e2e-llm-inference-service] [e2e-llm-inference-service] # Rewind body position, if needed. Record current position [e2e-llm-inference-service] # for future rewinds in the event of a redirect/retry. [e2e-llm-inference-service] body_pos = set_file_position(body, body_pos) [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] # Request a connection from the queue. [e2e-llm-inference-service] timeout_obj = self._get_timeout(timeout) [e2e-llm-inference-service] conn = self._get_conn(timeout=pool_timeout) [e2e-llm-inference-service] [e2e-llm-inference-service] conn.timeout = timeout_obj.connect_timeout # type: ignore[assignment] [e2e-llm-inference-service] [e2e-llm-inference-service] # Is this a closed/new connection that requires CONNECT tunnelling? [e2e-llm-inference-service] if self.proxy is not None and http_tunnel_required and conn.is_closed: [e2e-llm-inference-service] try: [e2e-llm-inference-service] self._prepare_proxy(conn) [e2e-llm-inference-service] except (BaseSSLError, OSError, SocketTimeout) as e: [e2e-llm-inference-service] self._raise_timeout( [e2e-llm-inference-service] err=e, url=self.proxy.url, timeout_value=conn.timeout [e2e-llm-inference-service] ) [e2e-llm-inference-service] raise [e2e-llm-inference-service] [e2e-llm-inference-service] # If we're going to release the connection in ``finally:``, then [e2e-llm-inference-service] # the response doesn't need to know about the connection. Otherwise [e2e-llm-inference-service] # it will also try to release it and we'll have a double-release [e2e-llm-inference-service] # mess. [e2e-llm-inference-service] response_conn = conn if not release_conn else None [e2e-llm-inference-service] [e2e-llm-inference-service] # Make the request on the HTTPConnection object [e2e-llm-inference-service] > response = self._make_request( [e2e-llm-inference-service] conn, [e2e-llm-inference-service] method, [e2e-llm-inference-service] url, [e2e-llm-inference-service] timeout=timeout_obj, [e2e-llm-inference-service] body=body, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] chunked=chunked, [e2e-llm-inference-service] retries=retries, [e2e-llm-inference-service] response_conn=response_conn, [e2e-llm-inference-service] preload_content=preload_content, [e2e-llm-inference-service] decode_content=decode_content, [e2e-llm-inference-service] **response_kw, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:788: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] conn = [e2e-llm-inference-service] method = 'POST', url = '/api/v1/namespaces' [e2e-llm-inference-service] body = '{"metadata": {"labels": {"kserve.io/e2e-test": "true"}, "name": "e2e-test-rolling-upgrade-coordination-a9229638"}}' [e2e-llm-inference-service] headers = HTTPHeaderDict({'Accept': 'application/json', 'User-Agent': 'OpenAPI-Generator/32.0.1/python', 'Content-Type': 'application/json'}) [e2e-llm-inference-service] retries = Retry(total=0, connect=None, read=None, redirect=None, status=None) [e2e-llm-inference-service] timeout = Timeout(connect=None, read=None, total=None), chunked = False [e2e-llm-inference-service] response_conn = None, preload_content = True, decode_content = True [e2e-llm-inference-service] enforce_content_length = True [e2e-llm-inference-service] [e2e-llm-inference-service] def _make_request( [e2e-llm-inference-service] self, [e2e-llm-inference-service] conn: BaseHTTPConnection, [e2e-llm-inference-service] method: str, [e2e-llm-inference-service] url: str, [e2e-llm-inference-service] body: _TYPE_BODY | None = None, [e2e-llm-inference-service] headers: typing.Mapping[str, str] | None = None, [e2e-llm-inference-service] retries: Retry | None = None, [e2e-llm-inference-service] timeout: _TYPE_TIMEOUT = _DEFAULT_TIMEOUT, [e2e-llm-inference-service] chunked: bool = False, [e2e-llm-inference-service] response_conn: BaseHTTPConnection | None = None, [e2e-llm-inference-service] preload_content: bool = True, [e2e-llm-inference-service] decode_content: bool = True, [e2e-llm-inference-service] enforce_content_length: bool = True, [e2e-llm-inference-service] ) -> BaseHTTPResponse: [e2e-llm-inference-service] """ [e2e-llm-inference-service] Perform a request on a given urllib connection object taken from our [e2e-llm-inference-service] pool. [e2e-llm-inference-service] [e2e-llm-inference-service] :param conn: [e2e-llm-inference-service] a connection from one of our connection pools [e2e-llm-inference-service] [e2e-llm-inference-service] :param method: [e2e-llm-inference-service] HTTP request method (such as GET, POST, PUT, etc.) [e2e-llm-inference-service] [e2e-llm-inference-service] :param url: [e2e-llm-inference-service] The URL to perform the request on. [e2e-llm-inference-service] [e2e-llm-inference-service] :param body: [e2e-llm-inference-service] Data to send in the request body, either :class:`str`, :class:`bytes`, [e2e-llm-inference-service] an iterable of :class:`str`/:class:`bytes`, or a file-like object. [e2e-llm-inference-service] [e2e-llm-inference-service] :param headers: [e2e-llm-inference-service] Dictionary of custom headers to send, such as User-Agent, [e2e-llm-inference-service] If-None-Match, etc. If None, pool headers are used. If provided, [e2e-llm-inference-service] these headers completely replace any pool-specific headers. [e2e-llm-inference-service] [e2e-llm-inference-service] :param retries: [e2e-llm-inference-service] Configure the number of retries to allow before raising a [e2e-llm-inference-service] :class:`~urllib3.exceptions.MaxRetryError` exception. [e2e-llm-inference-service] [e2e-llm-inference-service] Pass ``None`` to retry until you receive a response. Pass a [e2e-llm-inference-service] :class:`~urllib3.util.retry.Retry` object for fine-grained control [e2e-llm-inference-service] over different types of retries. [e2e-llm-inference-service] Pass an integer number to retry connection errors that many times, [e2e-llm-inference-service] but no other types of errors. Pass zero to never retry. [e2e-llm-inference-service] [e2e-llm-inference-service] If ``False``, then retries are disabled and any exception is raised [e2e-llm-inference-service] immediately. Also, instead of raising a MaxRetryError on redirects, [e2e-llm-inference-service] the redirect response will be returned. [e2e-llm-inference-service] [e2e-llm-inference-service] :type retries: :class:`~urllib3.util.retry.Retry`, False, or an int. [e2e-llm-inference-service] [e2e-llm-inference-service] :param timeout: [e2e-llm-inference-service] If specified, overrides the default timeout for this one [e2e-llm-inference-service] request. It may be a float (in seconds) or an instance of [e2e-llm-inference-service] :class:`urllib3.util.Timeout`. [e2e-llm-inference-service] [e2e-llm-inference-service] :param chunked: [e2e-llm-inference-service] If True, urllib3 will send the body using chunked transfer [e2e-llm-inference-service] encoding. Otherwise, urllib3 will send the body using the standard [e2e-llm-inference-service] content-length form. Defaults to False. [e2e-llm-inference-service] [e2e-llm-inference-service] :param response_conn: [e2e-llm-inference-service] Set this to ``None`` if you will handle releasing the connection or [e2e-llm-inference-service] set the connection to have the response release it. [e2e-llm-inference-service] [e2e-llm-inference-service] :param preload_content: [e2e-llm-inference-service] If True, the response's body will be preloaded during construction. [e2e-llm-inference-service] [e2e-llm-inference-service] :param decode_content: [e2e-llm-inference-service] If True, will attempt to decode the body based on the [e2e-llm-inference-service] 'content-encoding' header. [e2e-llm-inference-service] [e2e-llm-inference-service] :param enforce_content_length: [e2e-llm-inference-service] Enforce content length checking. Body returned by server must match [e2e-llm-inference-service] value of Content-Length header, if present. Otherwise, raise error. [e2e-llm-inference-service] """ [e2e-llm-inference-service] self.num_requests += 1 [e2e-llm-inference-service] [e2e-llm-inference-service] timeout_obj = self._get_timeout(timeout) [e2e-llm-inference-service] timeout_obj.start_connect() [e2e-llm-inference-service] conn.timeout = Timeout.resolve_default_timeout(timeout_obj.connect_timeout) [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] # Trigger any extra validation we need to do. [e2e-llm-inference-service] try: [e2e-llm-inference-service] self._validate_conn(conn) [e2e-llm-inference-service] except (SocketTimeout, BaseSSLError) as e: [e2e-llm-inference-service] self._raise_timeout(err=e, url=url, timeout_value=conn.timeout) [e2e-llm-inference-service] raise [e2e-llm-inference-service] [e2e-llm-inference-service] # _validate_conn() starts the connection to an HTTPS proxy [e2e-llm-inference-service] # so we need to wrap errors with 'ProxyError' here too. [e2e-llm-inference-service] except ( [e2e-llm-inference-service] OSError, [e2e-llm-inference-service] NewConnectionError, [e2e-llm-inference-service] TimeoutError, [e2e-llm-inference-service] BaseSSLError, [e2e-llm-inference-service] CertificateError, [e2e-llm-inference-service] SSLError, [e2e-llm-inference-service] ) as e: [e2e-llm-inference-service] new_e: Exception = e [e2e-llm-inference-service] if isinstance(e, (BaseSSLError, CertificateError)): [e2e-llm-inference-service] new_e = SSLError(e) [e2e-llm-inference-service] # If the connection didn't successfully connect to it's proxy [e2e-llm-inference-service] # then there [e2e-llm-inference-service] if isinstance( [e2e-llm-inference-service] new_e, (OSError, NewConnectionError, TimeoutError, SSLError) [e2e-llm-inference-service] ) and (conn and conn.proxy and not conn.has_connected_to_proxy): [e2e-llm-inference-service] new_e = _wrap_proxy_error(new_e, conn.proxy.scheme) [e2e-llm-inference-service] > raise new_e [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:488: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] conn = [e2e-llm-inference-service] method = 'POST', url = '/api/v1/namespaces' [e2e-llm-inference-service] body = '{"metadata": {"labels": {"kserve.io/e2e-test": "true"}, "name": "e2e-test-rolling-upgrade-coordination-a9229638"}}' [e2e-llm-inference-service] headers = HTTPHeaderDict({'Accept': 'application/json', 'User-Agent': 'OpenAPI-Generator/32.0.1/python', 'Content-Type': 'application/json'}) [e2e-llm-inference-service] retries = Retry(total=0, connect=None, read=None, redirect=None, status=None) [e2e-llm-inference-service] timeout = Timeout(connect=None, read=None, total=None), chunked = False [e2e-llm-inference-service] response_conn = None, preload_content = True, decode_content = True [e2e-llm-inference-service] enforce_content_length = True [e2e-llm-inference-service] [e2e-llm-inference-service] def _make_request( [e2e-llm-inference-service] self, [e2e-llm-inference-service] conn: BaseHTTPConnection, [e2e-llm-inference-service] method: str, [e2e-llm-inference-service] url: str, [e2e-llm-inference-service] body: _TYPE_BODY | None = None, [e2e-llm-inference-service] headers: typing.Mapping[str, str] | None = None, [e2e-llm-inference-service] retries: Retry | None = None, [e2e-llm-inference-service] timeout: _TYPE_TIMEOUT = _DEFAULT_TIMEOUT, [e2e-llm-inference-service] chunked: bool = False, [e2e-llm-inference-service] response_conn: BaseHTTPConnection | None = None, [e2e-llm-inference-service] preload_content: bool = True, [e2e-llm-inference-service] decode_content: bool = True, [e2e-llm-inference-service] enforce_content_length: bool = True, [e2e-llm-inference-service] ) -> BaseHTTPResponse: [e2e-llm-inference-service] """ [e2e-llm-inference-service] Perform a request on a given urllib connection object taken from our [e2e-llm-inference-service] pool. [e2e-llm-inference-service] [e2e-llm-inference-service] :param conn: [e2e-llm-inference-service] a connection from one of our connection pools [e2e-llm-inference-service] [e2e-llm-inference-service] :param method: [e2e-llm-inference-service] HTTP request method (such as GET, POST, PUT, etc.) [e2e-llm-inference-service] [e2e-llm-inference-service] :param url: [e2e-llm-inference-service] The URL to perform the request on. [e2e-llm-inference-service] [e2e-llm-inference-service] :param body: [e2e-llm-inference-service] Data to send in the request body, either :class:`str`, :class:`bytes`, [e2e-llm-inference-service] an iterable of :class:`str`/:class:`bytes`, or a file-like object. [e2e-llm-inference-service] [e2e-llm-inference-service] :param headers: [e2e-llm-inference-service] Dictionary of custom headers to send, such as User-Agent, [e2e-llm-inference-service] If-None-Match, etc. If None, pool headers are used. If provided, [e2e-llm-inference-service] these headers completely replace any pool-specific headers. [e2e-llm-inference-service] [e2e-llm-inference-service] :param retries: [e2e-llm-inference-service] Configure the number of retries to allow before raising a [e2e-llm-inference-service] :class:`~urllib3.exceptions.MaxRetryError` exception. [e2e-llm-inference-service] [e2e-llm-inference-service] Pass ``None`` to retry until you receive a response. Pass a [e2e-llm-inference-service] :class:`~urllib3.util.retry.Retry` object for fine-grained control [e2e-llm-inference-service] over different types of retries. [e2e-llm-inference-service] Pass an integer number to retry connection errors that many times, [e2e-llm-inference-service] but no other types of errors. Pass zero to never retry. [e2e-llm-inference-service] [e2e-llm-inference-service] If ``False``, then retries are disabled and any exception is raised [e2e-llm-inference-service] immediately. Also, instead of raising a MaxRetryError on redirects, [e2e-llm-inference-service] the redirect response will be returned. [e2e-llm-inference-service] [e2e-llm-inference-service] :type retries: :class:`~urllib3.util.retry.Retry`, False, or an int. [e2e-llm-inference-service] [e2e-llm-inference-service] :param timeout: [e2e-llm-inference-service] If specified, overrides the default timeout for this one [e2e-llm-inference-service] request. It may be a float (in seconds) or an instance of [e2e-llm-inference-service] :class:`urllib3.util.Timeout`. [e2e-llm-inference-service] [e2e-llm-inference-service] :param chunked: [e2e-llm-inference-service] If True, urllib3 will send the body using chunked transfer [e2e-llm-inference-service] encoding. Otherwise, urllib3 will send the body using the standard [e2e-llm-inference-service] content-length form. Defaults to False. [e2e-llm-inference-service] [e2e-llm-inference-service] :param response_conn: [e2e-llm-inference-service] Set this to ``None`` if you will handle releasing the connection or [e2e-llm-inference-service] set the connection to have the response release it. [e2e-llm-inference-service] [e2e-llm-inference-service] :param preload_content: [e2e-llm-inference-service] If True, the response's body will be preloaded during construction. [e2e-llm-inference-service] [e2e-llm-inference-service] :param decode_content: [e2e-llm-inference-service] If True, will attempt to decode the body based on the [e2e-llm-inference-service] 'content-encoding' header. [e2e-llm-inference-service] [e2e-llm-inference-service] :param enforce_content_length: [e2e-llm-inference-service] Enforce content length checking. Body returned by server must match [e2e-llm-inference-service] value of Content-Length header, if present. Otherwise, raise error. [e2e-llm-inference-service] """ [e2e-llm-inference-service] self.num_requests += 1 [e2e-llm-inference-service] [e2e-llm-inference-service] timeout_obj = self._get_timeout(timeout) [e2e-llm-inference-service] timeout_obj.start_connect() [e2e-llm-inference-service] conn.timeout = Timeout.resolve_default_timeout(timeout_obj.connect_timeout) [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] # Trigger any extra validation we need to do. [e2e-llm-inference-service] try: [e2e-llm-inference-service] > self._validate_conn(conn) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:464: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] conn = [e2e-llm-inference-service] [e2e-llm-inference-service] def _validate_conn(self, conn: BaseHTTPConnection) -> None: [e2e-llm-inference-service] """ [e2e-llm-inference-service] Called right before a request is made, after the socket is created. [e2e-llm-inference-service] """ [e2e-llm-inference-service] super()._validate_conn(conn) [e2e-llm-inference-service] [e2e-llm-inference-service] # Force connect early to allow us to validate the connection. [e2e-llm-inference-service] if conn.is_closed: [e2e-llm-inference-service] > conn.connect() [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:1106: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] [e2e-llm-inference-service] def connect(self) -> None: [e2e-llm-inference-service] # Today we don't need to be doing this step before the /actual/ socket [e2e-llm-inference-service] # connection, however in the future we'll need to decide whether to [e2e-llm-inference-service] # create a new socket or re-use an existing "shared" socket as a part [e2e-llm-inference-service] # of the HTTP/2 handshake dance. [e2e-llm-inference-service] if self._tunnel_host is not None and self._tunnel_port is not None: [e2e-llm-inference-service] probe_http2_host = self._tunnel_host [e2e-llm-inference-service] probe_http2_port = self._tunnel_port [e2e-llm-inference-service] else: [e2e-llm-inference-service] probe_http2_host = self.host [e2e-llm-inference-service] probe_http2_port = self.port [e2e-llm-inference-service] [e2e-llm-inference-service] # Check if the target origin supports HTTP/2. [e2e-llm-inference-service] # If the value comes back as 'None' it means that the current thread [e2e-llm-inference-service] # is probing for HTTP/2 support. Otherwise, we're waiting for another [e2e-llm-inference-service] # probe to complete, or we get a value right away. [e2e-llm-inference-service] target_supports_http2: bool | None [e2e-llm-inference-service] if "h2" in ssl_.ALPN_PROTOCOLS: [e2e-llm-inference-service] target_supports_http2 = http2_probe.acquire_and_get( [e2e-llm-inference-service] host=probe_http2_host, port=probe_http2_port [e2e-llm-inference-service] ) [e2e-llm-inference-service] else: [e2e-llm-inference-service] # If HTTP/2 isn't going to be offered it doesn't matter if [e2e-llm-inference-service] # the target supports HTTP/2. Don't want to make a probe. [e2e-llm-inference-service] target_supports_http2 = False [e2e-llm-inference-service] [e2e-llm-inference-service] if self._connect_callback is not None: [e2e-llm-inference-service] self._connect_callback( [e2e-llm-inference-service] "before connect", [e2e-llm-inference-service] thread_id=threading.get_ident(), [e2e-llm-inference-service] target_supports_http2=target_supports_http2, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] sock: socket.socket | ssl.SSLSocket [e2e-llm-inference-service] > self.sock = sock = self._new_conn() [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connection.py:759: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] [e2e-llm-inference-service] def _new_conn(self) -> socket.socket: [e2e-llm-inference-service] """Establish a socket connection and set nodelay settings on it. [e2e-llm-inference-service] [e2e-llm-inference-service] :return: New socket connection. [e2e-llm-inference-service] """ [e2e-llm-inference-service] try: [e2e-llm-inference-service] sock = connection.create_connection( [e2e-llm-inference-service] (self._dns_host, self.port), [e2e-llm-inference-service] self.timeout, [e2e-llm-inference-service] source_address=self.source_address, [e2e-llm-inference-service] socket_options=self.socket_options, [e2e-llm-inference-service] ) [e2e-llm-inference-service] except socket.gaierror as e: [e2e-llm-inference-service] > raise NameResolutionError(self.host, self, e) from e [e2e-llm-inference-service] E urllib3.exceptions.NameResolutionError: HTTPSConnection(host='acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com', port=6443): Failed to resolve 'acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com' ([Errno -2] Name or service not known) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connection.py:211: NameResolutionError [e2e-llm-inference-service] [e2e-llm-inference-service] The above exception was the direct cause of the following exception: [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_namespace(request): [e2e-llm-inference-service] """Create a per-test namespace with secrets, clean up after the test.""" [e2e-llm-inference-service] inject_k8s_proxy() [e2e-llm-inference-service] ns = generate_namespace_name(request.node.name) [e2e-llm-inference-service] > create_test_namespace(ns) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/conftest.py:159: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] namespace = 'e2e-test-rolling-upgrade-coordination-a9229638' [e2e-llm-inference-service] [e2e-llm-inference-service] def create_test_namespace(namespace: str) -> None: [e2e-llm-inference-service] """Create a labeled namespace for a single test.""" [e2e-llm-inference-service] core_v1 = client.CoreV1Api() [e2e-llm-inference-service] ns = client.V1Namespace( [e2e-llm-inference-service] metadata=client.V1ObjectMeta( [e2e-llm-inference-service] name=namespace, [e2e-llm-inference-service] labels={ [e2e-llm-inference-service] TEST_NAMESPACE_LABEL_KEY: TEST_NAMESPACE_LABEL_VALUE, [e2e-llm-inference-service] }, [e2e-llm-inference-service] ) [e2e-llm-inference-service] ) [e2e-llm-inference-service] try: [e2e-llm-inference-service] > core_v1.create_namespace(ns) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/namespace.py:81: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] body = {'api_version': None, [e2e-llm-inference-service] 'kind': None, [e2e-llm-inference-service] 'metadata': {'annotations': None, [e2e-llm-inference-service] 'creation_timestamp': 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': None, [e2e-llm-inference-service] 'status': None} [e2e-llm-inference-service] kwargs = {'_return_http_data_only': True} [e2e-llm-inference-service] [e2e-llm-inference-service] def create_namespace(self, body, **kwargs): # noqa: E501 [e2e-llm-inference-service] """create_namespace # noqa: E501 [e2e-llm-inference-service] [e2e-llm-inference-service] create a Namespace # 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_namespace(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 V1Namespace body: (required) [e2e-llm-inference-service] :param str pretty: If 'true', then the output is pretty printed. Defaults to 'false' unless the user-agent indicates a browser or command-line HTTP tool (curl and wget). [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. [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: V1Namespace [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_namespace_with_http_info(body, **kwargs) # noqa: E501 [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/kubernetes/client/api/core_v1_api.py:6363: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] body = {'api_version': None, [e2e-llm-inference-service] 'kind': None, [e2e-llm-inference-service] 'metadata': {'annotations': None, [e2e-llm-inference-service] 'creation_timestamp': 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': None, [e2e-llm-inference-service] 'status': None} [e2e-llm-inference-service] kwargs = {'_return_http_data_only': True} [e2e-llm-inference-service] local_var_params = {'_return_http_data_only': True, 'all_params': ['body', 'pretty', 'dry_run', 'field_manager', 'field_validation', 'asy...urce_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': None, [e2e-llm-inference-service] 'status': None}, ...} [e2e-llm-inference-service] all_params = ['body', 'pretty', 'dry_run', 'field_manager', 'field_validation', 'async_req', ...] [e2e-llm-inference-service] key = '_return_http_data_only', val = True, collection_formats = {} [e2e-llm-inference-service] path_params = {}, query_params = [] [e2e-llm-inference-service] [e2e-llm-inference-service] def create_namespace_with_http_info(self, body, **kwargs): # noqa: E501 [e2e-llm-inference-service] """create_namespace # noqa: E501 [e2e-llm-inference-service] [e2e-llm-inference-service] create a Namespace # 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_namespace_with_http_info(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 V1Namespace body: (required) [e2e-llm-inference-service] :param str pretty: If 'true', then the output is pretty printed. Defaults to 'false' unless the user-agent indicates a browser or command-line HTTP tool (curl and wget). [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. [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(V1Namespace, 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] '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_namespace" % 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 '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_namespace`") # 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] [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', 'application/yaml', 'application/vnd.kubernetes.protobuf', 'application/cbor']) # 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] '/api/v1/namespaces', '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='V1Namespace', # 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/core_v1_api.py:6454: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] resource_path = '/api/v1/namespaces', method = 'POST', path_params = {} [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 = {'api_version': None, [e2e-llm-inference-service] 'kind': None, [e2e-llm-inference-service] 'metadata': {'annotations': None, [e2e-llm-inference-service] 'creation_timestamp': 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': None, [e2e-llm-inference-service] 'status': None} [e2e-llm-inference-service] post_params = [], files = {}, response_type = 'V1Namespace' [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 = '/api/v1/namespaces', method = 'POST', path_params = {} [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 = {'metadata': {'labels': {'kserve.io/e2e-test': 'true'}, 'name': 'e2e-test-rolling-upgrade-coordination-a9229638'}} [e2e-llm-inference-service] post_params = [], files = {}, response_type = 'V1Namespace' [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://acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com:6443/api/v1/namespaces' [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 = {'metadata': {'labels': {'kserve.io/e2e-test': 'true'}, 'name': 'e2e-test-rolling-upgrade-coordination-a9229638'}} [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://acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com:6443/api/v1/namespaces' [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 = {'metadata': {'labels': {'kserve.io/e2e-test': 'true'}, 'name': 'e2e-test-rolling-upgrade-coordination-a9229638'}} [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://acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com:6443/api/v1/namespaces' [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 = {'metadata': {'labels': {'kserve.io/e2e-test': 'true'}, 'name': 'e2e-test-rolling-upgrade-coordination-a9229638'}} [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] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/kubernetes/client/rest.py:172: [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://acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com:6443/api/v1/namespaces' [e2e-llm-inference-service] body = '{"metadata": {"labels": {"kserve.io/e2e-test": "true"}, "name": "e2e-test-rolling-upgrade-coordination-a9229638"}}' [e2e-llm-inference-service] fields = None [e2e-llm-inference-service] headers = {'Accept': 'application/json', 'Content-Type': 'application/json', 'User-Agent': 'OpenAPI-Generator/32.0.1/python'} [e2e-llm-inference-service] json = None [e2e-llm-inference-service] urlopen_kw = {'body': '{"metadata": {"labels": {"kserve.io/e2e-test": "true"}, "name": "e2e-test-rolling-upgrade-coordination-a9229638"}}', 'preload_content': True, 'timeout': None} [e2e-llm-inference-service] [e2e-llm-inference-service] def request( [e2e-llm-inference-service] self, [e2e-llm-inference-service] method: str, [e2e-llm-inference-service] url: str, [e2e-llm-inference-service] body: _TYPE_BODY | None = None, [e2e-llm-inference-service] fields: _TYPE_FIELDS | None = None, [e2e-llm-inference-service] headers: typing.Mapping[str, str] | None = None, [e2e-llm-inference-service] json: typing.Any | None = None, [e2e-llm-inference-service] **urlopen_kw: typing.Any, [e2e-llm-inference-service] ) -> BaseHTTPResponse: [e2e-llm-inference-service] """ [e2e-llm-inference-service] Make a request using :meth:`urlopen` with the appropriate encoding of [e2e-llm-inference-service] ``fields`` based on the ``method`` used. [e2e-llm-inference-service] [e2e-llm-inference-service] This is a convenience method that requires the least amount of manual [e2e-llm-inference-service] effort. It can be used in most situations, while still having the [e2e-llm-inference-service] option to drop down to more specific methods when necessary, such as [e2e-llm-inference-service] :meth:`request_encode_url`, :meth:`request_encode_body`, [e2e-llm-inference-service] or even the lowest level :meth:`urlopen`. [e2e-llm-inference-service] [e2e-llm-inference-service] :param method: [e2e-llm-inference-service] HTTP request method (such as GET, POST, PUT, etc.) [e2e-llm-inference-service] [e2e-llm-inference-service] :param url: [e2e-llm-inference-service] The URL to perform the request on. [e2e-llm-inference-service] [e2e-llm-inference-service] :param body: [e2e-llm-inference-service] Data to send in the request body, either :class:`str`, :class:`bytes`, [e2e-llm-inference-service] an iterable of :class:`str`/:class:`bytes`, or a file-like object. [e2e-llm-inference-service] [e2e-llm-inference-service] :param fields: [e2e-llm-inference-service] Data to encode and send in the URL or request body, depending on ``method``. [e2e-llm-inference-service] [e2e-llm-inference-service] :param headers: [e2e-llm-inference-service] Dictionary of custom headers to send, such as User-Agent, [e2e-llm-inference-service] If-None-Match, etc. If None, pool headers are used. If provided, [e2e-llm-inference-service] these headers completely replace any pool-specific headers. [e2e-llm-inference-service] [e2e-llm-inference-service] :param json: [e2e-llm-inference-service] Data to encode and send as JSON with UTF-encoded in the request body. [e2e-llm-inference-service] The ``"Content-Type"`` header will be set to ``"application/json"`` [e2e-llm-inference-service] unless specified otherwise. [e2e-llm-inference-service] """ [e2e-llm-inference-service] method = method.upper() [e2e-llm-inference-service] [e2e-llm-inference-service] if json is not None and body is not None: [e2e-llm-inference-service] raise TypeError( [e2e-llm-inference-service] "request got values for both 'body' and 'json' parameters which are mutually exclusive" [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] if json is not None: [e2e-llm-inference-service] if headers is None: [e2e-llm-inference-service] headers = self.headers [e2e-llm-inference-service] [e2e-llm-inference-service] if not ("content-type" in map(str.lower, headers.keys())): [e2e-llm-inference-service] headers = HTTPHeaderDict(headers) [e2e-llm-inference-service] headers["Content-Type"] = "application/json" [e2e-llm-inference-service] [e2e-llm-inference-service] body = _json.dumps(json, separators=(",", ":"), ensure_ascii=False).encode( [e2e-llm-inference-service] "utf-8" [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] if body is not None: [e2e-llm-inference-service] urlopen_kw["body"] = body [e2e-llm-inference-service] [e2e-llm-inference-service] if method in self._encode_url_methods: [e2e-llm-inference-service] return self.request_encode_url( [e2e-llm-inference-service] method, [e2e-llm-inference-service] url, [e2e-llm-inference-service] fields=fields, # type: ignore[arg-type] [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] **urlopen_kw, [e2e-llm-inference-service] ) [e2e-llm-inference-service] else: [e2e-llm-inference-service] > return self.request_encode_body( [e2e-llm-inference-service] method, url, fields=fields, headers=headers, **urlopen_kw [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/_request_methods.py:143: [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://acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com:6443/api/v1/namespaces' [e2e-llm-inference-service] fields = None [e2e-llm-inference-service] headers = {'Accept': 'application/json', 'Content-Type': 'application/json', 'User-Agent': 'OpenAPI-Generator/32.0.1/python'} [e2e-llm-inference-service] encode_multipart = True, multipart_boundary = None [e2e-llm-inference-service] urlopen_kw = {'body': '{"metadata": {"labels": {"kserve.io/e2e-test": "true"}, "name": "e2e-test-rolling-upgrade-coordination-a9229638"}}', 'preload_content': True, 'timeout': None} [e2e-llm-inference-service] extra_kw = {'body': '{"metadata": {"labels": {"kserve.io/e2e-test": "true"}, "name": "e2e-test-rolling-upgrade-coordination-a9229...nt': 'OpenAPI-Generator/32.0.1/python', 'Content-Type': 'application/json'}), 'preload_content': True, 'timeout': None} [e2e-llm-inference-service] [e2e-llm-inference-service] def request_encode_body( [e2e-llm-inference-service] self, [e2e-llm-inference-service] method: str, [e2e-llm-inference-service] url: str, [e2e-llm-inference-service] fields: _TYPE_FIELDS | None = None, [e2e-llm-inference-service] headers: typing.Mapping[str, str] | None = None, [e2e-llm-inference-service] encode_multipart: bool = True, [e2e-llm-inference-service] multipart_boundary: str | None = None, [e2e-llm-inference-service] **urlopen_kw: str, [e2e-llm-inference-service] ) -> BaseHTTPResponse: [e2e-llm-inference-service] """ [e2e-llm-inference-service] Make a request using :meth:`urlopen` with the ``fields`` encoded in [e2e-llm-inference-service] the body. This is useful for request methods like POST, PUT, PATCH, etc. [e2e-llm-inference-service] [e2e-llm-inference-service] When ``encode_multipart=True`` (default), then [e2e-llm-inference-service] :func:`urllib3.encode_multipart_formdata` is used to encode [e2e-llm-inference-service] the payload with the appropriate content type. Otherwise [e2e-llm-inference-service] :func:`urllib.parse.urlencode` is used with the [e2e-llm-inference-service] 'application/x-www-form-urlencoded' content type. [e2e-llm-inference-service] [e2e-llm-inference-service] Multipart encoding must be used when posting files, and it's reasonably [e2e-llm-inference-service] safe to use it in other times too. However, it may break request [e2e-llm-inference-service] signing, such as with OAuth. [e2e-llm-inference-service] [e2e-llm-inference-service] Supports an optional ``fields`` parameter of key/value strings AND [e2e-llm-inference-service] key/filetuple. A filetuple is a (filename, data, MIME type) tuple where [e2e-llm-inference-service] the MIME type is optional. For example:: [e2e-llm-inference-service] [e2e-llm-inference-service] fields = { [e2e-llm-inference-service] 'foo': 'bar', [e2e-llm-inference-service] 'fakefile': ('foofile.txt', 'contents of foofile'), [e2e-llm-inference-service] 'realfile': ('barfile.txt', open('realfile').read()), [e2e-llm-inference-service] 'typedfile': ('bazfile.bin', open('bazfile').read(), [e2e-llm-inference-service] 'image/jpeg'), [e2e-llm-inference-service] 'nonamefile': 'contents of nonamefile field', [e2e-llm-inference-service] } [e2e-llm-inference-service] [e2e-llm-inference-service] When uploading a file, providing a filename (the first parameter of the [e2e-llm-inference-service] tuple) is optional but recommended to best mimic behavior of browsers. [e2e-llm-inference-service] [e2e-llm-inference-service] Note that if ``headers`` are supplied, the 'Content-Type' header will [e2e-llm-inference-service] be overwritten because it depends on the dynamic random boundary string [e2e-llm-inference-service] which is used to compose the body of the request. The random boundary [e2e-llm-inference-service] string can be explicitly set with the ``multipart_boundary`` parameter. [e2e-llm-inference-service] [e2e-llm-inference-service] :param method: [e2e-llm-inference-service] HTTP request method (such as GET, POST, PUT, etc.) [e2e-llm-inference-service] [e2e-llm-inference-service] :param url: [e2e-llm-inference-service] The URL to perform the request on. [e2e-llm-inference-service] [e2e-llm-inference-service] :param fields: [e2e-llm-inference-service] Data to encode and send in the request body. [e2e-llm-inference-service] [e2e-llm-inference-service] :param headers: [e2e-llm-inference-service] Dictionary of custom headers to send, such as User-Agent, [e2e-llm-inference-service] If-None-Match, etc. If None, pool headers are used. If provided, [e2e-llm-inference-service] these headers completely replace any pool-specific headers. [e2e-llm-inference-service] [e2e-llm-inference-service] :param encode_multipart: [e2e-llm-inference-service] If True, encode the ``fields`` using the multipart/form-data MIME [e2e-llm-inference-service] format. [e2e-llm-inference-service] [e2e-llm-inference-service] :param multipart_boundary: [e2e-llm-inference-service] If not specified, then a random boundary will be generated using [e2e-llm-inference-service] :func:`urllib3.filepost.choose_boundary`. [e2e-llm-inference-service] """ [e2e-llm-inference-service] if headers is None: [e2e-llm-inference-service] headers = self.headers [e2e-llm-inference-service] [e2e-llm-inference-service] extra_kw: dict[str, typing.Any] = {"headers": HTTPHeaderDict(headers)} [e2e-llm-inference-service] body: bytes | str [e2e-llm-inference-service] [e2e-llm-inference-service] if fields: [e2e-llm-inference-service] if "body" in urlopen_kw: [e2e-llm-inference-service] raise TypeError( [e2e-llm-inference-service] "request got values for both 'fields' and 'body', can only specify one." [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] if encode_multipart: [e2e-llm-inference-service] body, content_type = encode_multipart_formdata( [e2e-llm-inference-service] fields, boundary=multipart_boundary [e2e-llm-inference-service] ) [e2e-llm-inference-service] else: [e2e-llm-inference-service] body, content_type = ( [e2e-llm-inference-service] urlencode(fields), # type: ignore[arg-type] [e2e-llm-inference-service] "application/x-www-form-urlencoded", [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] extra_kw["body"] = body [e2e-llm-inference-service] extra_kw["headers"].setdefault("Content-Type", content_type) [e2e-llm-inference-service] [e2e-llm-inference-service] extra_kw.update(urlopen_kw) [e2e-llm-inference-service] [e2e-llm-inference-service] > return self.urlopen(method, url, **extra_kw) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/_request_methods.py:278: [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://acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com:6443/api/v1/namespaces' [e2e-llm-inference-service] redirect = True [e2e-llm-inference-service] kw = {'assert_same_host': False, 'body': '{"metadata": {"labels": {"kserve.io/e2e-test": "true"}, "name": "e2e-test-rolling...', 'User-Agent': 'OpenAPI-Generator/32.0.1/python', 'Content-Type': 'application/json'}), 'preload_content': True, ...} [e2e-llm-inference-service] u = Url(scheme='https', auth=None, host='acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com', port=6443, path='/api/v1/namespaces', query=None, fragment=None) [e2e-llm-inference-service] conn = [e2e-llm-inference-service] [e2e-llm-inference-service] def urlopen( # type: ignore[override] [e2e-llm-inference-service] self, method: str, url: str, redirect: bool = True, **kw: typing.Any [e2e-llm-inference-service] ) -> BaseHTTPResponse: [e2e-llm-inference-service] """ [e2e-llm-inference-service] Same as :meth:`urllib3.HTTPConnectionPool.urlopen` [e2e-llm-inference-service] with custom cross-host redirect logic and only sends the request-uri [e2e-llm-inference-service] portion of the ``url``. [e2e-llm-inference-service] [e2e-llm-inference-service] The given ``url`` parameter must be absolute, such that an appropriate [e2e-llm-inference-service] :class:`urllib3.connectionpool.ConnectionPool` can be chosen for it. [e2e-llm-inference-service] """ [e2e-llm-inference-service] u = parse_url(url) [e2e-llm-inference-service] [e2e-llm-inference-service] if u.scheme is None: [e2e-llm-inference-service] warnings.warn( [e2e-llm-inference-service] "URLs without a scheme (ie 'https://') are deprecated and will raise an error " [e2e-llm-inference-service] "in urllib3 v3.0. To avoid this FutureWarning ensure all URLs " [e2e-llm-inference-service] "start with 'https://' or 'http://'. Read more in this issue: " [e2e-llm-inference-service] "https://github.com/urllib3/urllib3/issues/2920", [e2e-llm-inference-service] category=FutureWarning, [e2e-llm-inference-service] stacklevel=2, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] conn = self.connection_from_host(u.host, port=u.port, scheme=u.scheme) [e2e-llm-inference-service] [e2e-llm-inference-service] kw["assert_same_host"] = False [e2e-llm-inference-service] kw["redirect"] = False [e2e-llm-inference-service] [e2e-llm-inference-service] if "headers" not in kw: [e2e-llm-inference-service] kw["headers"] = self.headers [e2e-llm-inference-service] [e2e-llm-inference-service] if self._proxy_requires_url_absolute_form(u): [e2e-llm-inference-service] response = conn.urlopen(method, url, **kw) [e2e-llm-inference-service] else: [e2e-llm-inference-service] > response = conn.urlopen(method, u.request_uri, **kw) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/poolmanager.py:457: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] method = 'POST', url = '/api/v1/namespaces' [e2e-llm-inference-service] body = '{"metadata": {"labels": {"kserve.io/e2e-test": "true"}, "name": "e2e-test-rolling-upgrade-coordination-a9229638"}}' [e2e-llm-inference-service] headers = HTTPHeaderDict({'Accept': 'application/json', 'User-Agent': 'OpenAPI-Generator/32.0.1/python', 'Content-Type': 'application/json'}) [e2e-llm-inference-service] retries = Retry(total=2, connect=None, read=None, redirect=None, status=None) [e2e-llm-inference-service] redirect = False, assert_same_host = False, timeout = None, pool_timeout = None [e2e-llm-inference-service] release_conn = True, chunked = False, body_pos = None, preload_content = True [e2e-llm-inference-service] decode_content = True, response_kw = {}, destination_scheme = None, conn = None [e2e-llm-inference-service] release_this_conn = True, http_tunnel_required = False [e2e-llm-inference-service] err = NameResolutionError("HTTPSConnection(host='acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.c...acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com' ([Errno -2] Name or service not known)") [e2e-llm-inference-service] clean_exit = False [e2e-llm-inference-service] [e2e-llm-inference-service] def urlopen( # type: ignore[override] [e2e-llm-inference-service] self, [e2e-llm-inference-service] method: str, [e2e-llm-inference-service] url: str, [e2e-llm-inference-service] body: _TYPE_BODY | None = None, [e2e-llm-inference-service] headers: typing.Mapping[str, str] | None = None, [e2e-llm-inference-service] retries: Retry | bool | int | None = None, [e2e-llm-inference-service] redirect: bool = True, [e2e-llm-inference-service] assert_same_host: bool = True, [e2e-llm-inference-service] timeout: _TYPE_TIMEOUT = _DEFAULT_TIMEOUT, [e2e-llm-inference-service] pool_timeout: int | None = None, [e2e-llm-inference-service] release_conn: bool | None = None, [e2e-llm-inference-service] chunked: bool = False, [e2e-llm-inference-service] body_pos: _TYPE_BODY_POSITION | None = None, [e2e-llm-inference-service] preload_content: bool = True, [e2e-llm-inference-service] decode_content: bool = True, [e2e-llm-inference-service] **response_kw: typing.Any, [e2e-llm-inference-service] ) -> BaseHTTPResponse: [e2e-llm-inference-service] """ [e2e-llm-inference-service] Get a connection from the pool and perform an HTTP request. This is the [e2e-llm-inference-service] lowest level call for making a request, so you'll need to specify all [e2e-llm-inference-service] the raw details. [e2e-llm-inference-service] [e2e-llm-inference-service] .. note:: [e2e-llm-inference-service] [e2e-llm-inference-service] More commonly, it's appropriate to use a convenience method [e2e-llm-inference-service] such as :meth:`request`. [e2e-llm-inference-service] [e2e-llm-inference-service] .. note:: [e2e-llm-inference-service] [e2e-llm-inference-service] `release_conn` will only behave as expected if [e2e-llm-inference-service] `preload_content=False` because we want to make [e2e-llm-inference-service] `preload_content=False` the default behaviour someday soon without [e2e-llm-inference-service] breaking backwards compatibility. [e2e-llm-inference-service] [e2e-llm-inference-service] :param method: [e2e-llm-inference-service] HTTP request method (such as GET, POST, PUT, etc.) [e2e-llm-inference-service] [e2e-llm-inference-service] :param url: [e2e-llm-inference-service] The URL to perform the request on. [e2e-llm-inference-service] [e2e-llm-inference-service] :param body: [e2e-llm-inference-service] Data to send in the request body, either :class:`str`, :class:`bytes`, [e2e-llm-inference-service] an iterable of :class:`str`/:class:`bytes`, or a file-like object. [e2e-llm-inference-service] [e2e-llm-inference-service] :param headers: [e2e-llm-inference-service] Dictionary of custom headers to send, such as User-Agent, [e2e-llm-inference-service] If-None-Match, etc. If None, pool headers are used. If provided, [e2e-llm-inference-service] these headers completely replace any pool-specific headers. [e2e-llm-inference-service] [e2e-llm-inference-service] :param retries: [e2e-llm-inference-service] Configure the number of retries to allow before raising a [e2e-llm-inference-service] :class:`~urllib3.exceptions.MaxRetryError` exception. [e2e-llm-inference-service] [e2e-llm-inference-service] If ``None`` (default) will retry 3 times, see ``Retry.DEFAULT``. Pass a [e2e-llm-inference-service] :class:`~urllib3.util.retry.Retry` object for fine-grained control [e2e-llm-inference-service] over different types of retries. [e2e-llm-inference-service] Pass an integer number to retry connection errors that many times, [e2e-llm-inference-service] but no other types of errors. Pass zero to never retry. [e2e-llm-inference-service] [e2e-llm-inference-service] If ``False``, then retries are disabled and any exception is raised [e2e-llm-inference-service] immediately. Also, instead of raising a MaxRetryError on redirects, [e2e-llm-inference-service] the redirect response will be returned. [e2e-llm-inference-service] [e2e-llm-inference-service] :type retries: :class:`~urllib3.util.retry.Retry`, False, or an int. [e2e-llm-inference-service] [e2e-llm-inference-service] :param redirect: [e2e-llm-inference-service] If True, automatically handle redirects (status codes 301, 302, [e2e-llm-inference-service] 303, 307, 308). Each redirect counts as a retry. Disabling retries [e2e-llm-inference-service] will disable redirect, too. [e2e-llm-inference-service] [e2e-llm-inference-service] :param assert_same_host: [e2e-llm-inference-service] If ``True``, will make sure that the host of the pool requests is [e2e-llm-inference-service] consistent else will raise HostChangedError. When ``False``, you can [e2e-llm-inference-service] use the pool on an HTTP proxy and request foreign hosts. [e2e-llm-inference-service] [e2e-llm-inference-service] :param timeout: [e2e-llm-inference-service] If specified, overrides the default timeout for this one [e2e-llm-inference-service] request. It may be a float (in seconds) or an instance of [e2e-llm-inference-service] :class:`urllib3.util.Timeout`. [e2e-llm-inference-service] [e2e-llm-inference-service] :param pool_timeout: [e2e-llm-inference-service] If set and the pool is set to block=True, then this method will [e2e-llm-inference-service] block for ``pool_timeout`` seconds and raise EmptyPoolError if no [e2e-llm-inference-service] connection is available within the time period. [e2e-llm-inference-service] [e2e-llm-inference-service] :param bool preload_content: [e2e-llm-inference-service] If True, the response's body will be preloaded into memory. [e2e-llm-inference-service] [e2e-llm-inference-service] :param bool decode_content: [e2e-llm-inference-service] If True, will attempt to decode the body based on the [e2e-llm-inference-service] 'content-encoding' header. [e2e-llm-inference-service] [e2e-llm-inference-service] :param release_conn: [e2e-llm-inference-service] If False, then the urlopen call will not release the connection [e2e-llm-inference-service] back into the pool once a response is received (but will release if [e2e-llm-inference-service] you read the entire contents of the response such as when [e2e-llm-inference-service] `preload_content=True`). This is useful if you're not preloading [e2e-llm-inference-service] the response's content immediately. You will need to call [e2e-llm-inference-service] ``r.release_conn()`` on the response ``r`` to return the connection [e2e-llm-inference-service] back into the pool. If None, it takes the value of ``preload_content`` [e2e-llm-inference-service] which defaults to ``True``. [e2e-llm-inference-service] [e2e-llm-inference-service] :param bool chunked: [e2e-llm-inference-service] If True, urllib3 will send the body using chunked transfer [e2e-llm-inference-service] encoding. Otherwise, urllib3 will send the body using the standard [e2e-llm-inference-service] content-length form. Defaults to False. [e2e-llm-inference-service] [e2e-llm-inference-service] :param int body_pos: [e2e-llm-inference-service] Position to seek to in file-like body in the event of a retry or [e2e-llm-inference-service] redirect. Typically this won't need to be set because urllib3 will [e2e-llm-inference-service] auto-populate the value when needed. [e2e-llm-inference-service] """ [e2e-llm-inference-service] # Ensure that the URL we're connecting to is properly encoded [e2e-llm-inference-service] if url.startswith("/"): [e2e-llm-inference-service] # URLs starting with / are inherently schemeless. [e2e-llm-inference-service] url = to_str(_encode_target(url)) [e2e-llm-inference-service] destination_scheme = None [e2e-llm-inference-service] else: [e2e-llm-inference-service] parsed_url = parse_url(url) [e2e-llm-inference-service] destination_scheme = parsed_url.scheme [e2e-llm-inference-service] url = to_str(parsed_url.url) [e2e-llm-inference-service] [e2e-llm-inference-service] if headers is None: [e2e-llm-inference-service] headers = self.headers [e2e-llm-inference-service] [e2e-llm-inference-service] if not isinstance(retries, Retry): [e2e-llm-inference-service] retries = Retry.from_int(retries, redirect=redirect, default=self.retries) [e2e-llm-inference-service] [e2e-llm-inference-service] if release_conn is None: [e2e-llm-inference-service] release_conn = preload_content [e2e-llm-inference-service] [e2e-llm-inference-service] # Check host [e2e-llm-inference-service] if assert_same_host and not self.is_same_host(url): [e2e-llm-inference-service] raise HostChangedError(self, url, retries) [e2e-llm-inference-service] [e2e-llm-inference-service] conn = None [e2e-llm-inference-service] [e2e-llm-inference-service] # Track whether `conn` needs to be released before [e2e-llm-inference-service] # returning/raising/recursing. Update this variable if necessary, and [e2e-llm-inference-service] # leave `release_conn` constant throughout the function. That way, if [e2e-llm-inference-service] # the function recurses, the original value of `release_conn` will be [e2e-llm-inference-service] # passed down into the recursive call, and its value will be respected. [e2e-llm-inference-service] # [e2e-llm-inference-service] # See issue #651 [1] for details. [e2e-llm-inference-service] # [e2e-llm-inference-service] # [1] [e2e-llm-inference-service] release_this_conn = release_conn [e2e-llm-inference-service] [e2e-llm-inference-service] http_tunnel_required = connection_requires_http_tunnel( [e2e-llm-inference-service] self.proxy, self.proxy_config, destination_scheme [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] # Merge the proxy headers. Only done when not using HTTP CONNECT. We [e2e-llm-inference-service] # have to copy the headers dict so we can safely change it without those [e2e-llm-inference-service] # changes being reflected in anyone else's copy. [e2e-llm-inference-service] if not http_tunnel_required: [e2e-llm-inference-service] headers = headers.copy() # type: ignore[attr-defined] [e2e-llm-inference-service] headers.update(self.proxy_headers) # type: ignore[union-attr] [e2e-llm-inference-service] [e2e-llm-inference-service] # Must keep the exception bound to a separate variable or else Python 3 [e2e-llm-inference-service] # complains about UnboundLocalError. [e2e-llm-inference-service] err = None [e2e-llm-inference-service] [e2e-llm-inference-service] # Keep track of whether we cleanly exited the except block. This [e2e-llm-inference-service] # ensures we do proper cleanup in finally. [e2e-llm-inference-service] clean_exit = False [e2e-llm-inference-service] [e2e-llm-inference-service] # Rewind body position, if needed. Record current position [e2e-llm-inference-service] # for future rewinds in the event of a redirect/retry. [e2e-llm-inference-service] body_pos = set_file_position(body, body_pos) [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] # Request a connection from the queue. [e2e-llm-inference-service] timeout_obj = self._get_timeout(timeout) [e2e-llm-inference-service] conn = self._get_conn(timeout=pool_timeout) [e2e-llm-inference-service] [e2e-llm-inference-service] conn.timeout = timeout_obj.connect_timeout # type: ignore[assignment] [e2e-llm-inference-service] [e2e-llm-inference-service] # Is this a closed/new connection that requires CONNECT tunnelling? [e2e-llm-inference-service] if self.proxy is not None and http_tunnel_required and conn.is_closed: [e2e-llm-inference-service] try: [e2e-llm-inference-service] self._prepare_proxy(conn) [e2e-llm-inference-service] except (BaseSSLError, OSError, SocketTimeout) as e: [e2e-llm-inference-service] self._raise_timeout( [e2e-llm-inference-service] err=e, url=self.proxy.url, timeout_value=conn.timeout [e2e-llm-inference-service] ) [e2e-llm-inference-service] raise [e2e-llm-inference-service] [e2e-llm-inference-service] # If we're going to release the connection in ``finally:``, then [e2e-llm-inference-service] # the response doesn't need to know about the connection. Otherwise [e2e-llm-inference-service] # it will also try to release it and we'll have a double-release [e2e-llm-inference-service] # mess. [e2e-llm-inference-service] response_conn = conn if not release_conn else None [e2e-llm-inference-service] [e2e-llm-inference-service] # Make the request on the HTTPConnection object [e2e-llm-inference-service] response = self._make_request( [e2e-llm-inference-service] conn, [e2e-llm-inference-service] method, [e2e-llm-inference-service] url, [e2e-llm-inference-service] timeout=timeout_obj, [e2e-llm-inference-service] body=body, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] chunked=chunked, [e2e-llm-inference-service] retries=retries, [e2e-llm-inference-service] response_conn=response_conn, [e2e-llm-inference-service] preload_content=preload_content, [e2e-llm-inference-service] decode_content=decode_content, [e2e-llm-inference-service] **response_kw, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] # Everything went great! [e2e-llm-inference-service] clean_exit = True [e2e-llm-inference-service] [e2e-llm-inference-service] except EmptyPoolError: [e2e-llm-inference-service] # Didn't get a connection from the pool, no need to clean up [e2e-llm-inference-service] clean_exit = True [e2e-llm-inference-service] release_this_conn = False [e2e-llm-inference-service] raise [e2e-llm-inference-service] [e2e-llm-inference-service] except ( [e2e-llm-inference-service] TimeoutError, [e2e-llm-inference-service] HTTPException, [e2e-llm-inference-service] OSError, [e2e-llm-inference-service] ProtocolError, [e2e-llm-inference-service] BaseSSLError, [e2e-llm-inference-service] SSLError, [e2e-llm-inference-service] CertificateError, [e2e-llm-inference-service] ProxyError, [e2e-llm-inference-service] ) as e: [e2e-llm-inference-service] # Discard the connection for these exceptions. It will be [e2e-llm-inference-service] # replaced during the next _get_conn() call. [e2e-llm-inference-service] clean_exit = False [e2e-llm-inference-service] new_e: Exception = e [e2e-llm-inference-service] if isinstance(e, (BaseSSLError, CertificateError)): [e2e-llm-inference-service] new_e = SSLError(e) [e2e-llm-inference-service] if isinstance( [e2e-llm-inference-service] new_e, [e2e-llm-inference-service] ( [e2e-llm-inference-service] OSError, [e2e-llm-inference-service] NewConnectionError, [e2e-llm-inference-service] TimeoutError, [e2e-llm-inference-service] SSLError, [e2e-llm-inference-service] HTTPException, [e2e-llm-inference-service] ), [e2e-llm-inference-service] ) and (conn and conn.proxy and not conn.has_connected_to_proxy): [e2e-llm-inference-service] new_e = _wrap_proxy_error(new_e, conn.proxy.scheme) [e2e-llm-inference-service] elif isinstance(new_e, (OSError, HTTPException)): [e2e-llm-inference-service] new_e = ProtocolError("Connection aborted.", new_e) [e2e-llm-inference-service] [e2e-llm-inference-service] retries = retries.increment( [e2e-llm-inference-service] method, url, error=new_e, _pool=self, _stacktrace=sys.exc_info()[2] [e2e-llm-inference-service] ) [e2e-llm-inference-service] retries.sleep() [e2e-llm-inference-service] [e2e-llm-inference-service] # Keep track of the error for the retry warning. [e2e-llm-inference-service] err = e [e2e-llm-inference-service] [e2e-llm-inference-service] finally: [e2e-llm-inference-service] if not clean_exit: [e2e-llm-inference-service] # We hit some kind of exception, handled or otherwise. We need [e2e-llm-inference-service] # to throw the connection away unless explicitly told not to. [e2e-llm-inference-service] # Close the connection, set the variable to None, and make sure [e2e-llm-inference-service] # we put the None back in the pool to avoid leaking it. [e2e-llm-inference-service] if conn: [e2e-llm-inference-service] conn.close() [e2e-llm-inference-service] conn = None [e2e-llm-inference-service] release_this_conn = True [e2e-llm-inference-service] [e2e-llm-inference-service] if release_this_conn: [e2e-llm-inference-service] # Put the connection back to be reused. If the connection is [e2e-llm-inference-service] # expired then it will be None, which will get replaced with a [e2e-llm-inference-service] # fresh connection during _get_conn. [e2e-llm-inference-service] self._put_conn(conn) [e2e-llm-inference-service] [e2e-llm-inference-service] if not conn: [e2e-llm-inference-service] # Try again [e2e-llm-inference-service] log.warning( [e2e-llm-inference-service] "Retrying (%r) after connection broken by '%r': %s", retries, err, url [e2e-llm-inference-service] ) [e2e-llm-inference-service] > return self.urlopen( [e2e-llm-inference-service] method, [e2e-llm-inference-service] url, [e2e-llm-inference-service] body, [e2e-llm-inference-service] headers, [e2e-llm-inference-service] retries, [e2e-llm-inference-service] redirect, [e2e-llm-inference-service] assert_same_host, [e2e-llm-inference-service] timeout=timeout, [e2e-llm-inference-service] pool_timeout=pool_timeout, [e2e-llm-inference-service] release_conn=release_conn, [e2e-llm-inference-service] chunked=chunked, [e2e-llm-inference-service] body_pos=body_pos, [e2e-llm-inference-service] preload_content=preload_content, [e2e-llm-inference-service] decode_content=decode_content, [e2e-llm-inference-service] **response_kw, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:872: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] method = 'POST', url = '/api/v1/namespaces' [e2e-llm-inference-service] body = '{"metadata": {"labels": {"kserve.io/e2e-test": "true"}, "name": "e2e-test-rolling-upgrade-coordination-a9229638"}}' [e2e-llm-inference-service] headers = HTTPHeaderDict({'Accept': 'application/json', 'User-Agent': 'OpenAPI-Generator/32.0.1/python', 'Content-Type': 'application/json'}) [e2e-llm-inference-service] retries = Retry(total=1, connect=None, read=None, redirect=None, status=None) [e2e-llm-inference-service] redirect = False, assert_same_host = False, timeout = None, pool_timeout = None [e2e-llm-inference-service] release_conn = True, chunked = False, body_pos = None, preload_content = True [e2e-llm-inference-service] decode_content = True, response_kw = {}, destination_scheme = None, conn = None [e2e-llm-inference-service] release_this_conn = True, http_tunnel_required = False [e2e-llm-inference-service] err = NameResolutionError("HTTPSConnection(host='acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.c...acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com' ([Errno -2] Name or service not known)") [e2e-llm-inference-service] clean_exit = False [e2e-llm-inference-service] [e2e-llm-inference-service] def urlopen( # type: ignore[override] [e2e-llm-inference-service] self, [e2e-llm-inference-service] method: str, [e2e-llm-inference-service] url: str, [e2e-llm-inference-service] body: _TYPE_BODY | None = None, [e2e-llm-inference-service] headers: typing.Mapping[str, str] | None = None, [e2e-llm-inference-service] retries: Retry | bool | int | None = None, [e2e-llm-inference-service] redirect: bool = True, [e2e-llm-inference-service] assert_same_host: bool = True, [e2e-llm-inference-service] timeout: _TYPE_TIMEOUT = _DEFAULT_TIMEOUT, [e2e-llm-inference-service] pool_timeout: int | None = None, [e2e-llm-inference-service] release_conn: bool | None = None, [e2e-llm-inference-service] chunked: bool = False, [e2e-llm-inference-service] body_pos: _TYPE_BODY_POSITION | None = None, [e2e-llm-inference-service] preload_content: bool = True, [e2e-llm-inference-service] decode_content: bool = True, [e2e-llm-inference-service] **response_kw: typing.Any, [e2e-llm-inference-service] ) -> BaseHTTPResponse: [e2e-llm-inference-service] """ [e2e-llm-inference-service] Get a connection from the pool and perform an HTTP request. This is the [e2e-llm-inference-service] lowest level call for making a request, so you'll need to specify all [e2e-llm-inference-service] the raw details. [e2e-llm-inference-service] [e2e-llm-inference-service] .. note:: [e2e-llm-inference-service] [e2e-llm-inference-service] More commonly, it's appropriate to use a convenience method [e2e-llm-inference-service] such as :meth:`request`. [e2e-llm-inference-service] [e2e-llm-inference-service] .. note:: [e2e-llm-inference-service] [e2e-llm-inference-service] `release_conn` will only behave as expected if [e2e-llm-inference-service] `preload_content=False` because we want to make [e2e-llm-inference-service] `preload_content=False` the default behaviour someday soon without [e2e-llm-inference-service] breaking backwards compatibility. [e2e-llm-inference-service] [e2e-llm-inference-service] :param method: [e2e-llm-inference-service] HTTP request method (such as GET, POST, PUT, etc.) [e2e-llm-inference-service] [e2e-llm-inference-service] :param url: [e2e-llm-inference-service] The URL to perform the request on. [e2e-llm-inference-service] [e2e-llm-inference-service] :param body: [e2e-llm-inference-service] Data to send in the request body, either :class:`str`, :class:`bytes`, [e2e-llm-inference-service] an iterable of :class:`str`/:class:`bytes`, or a file-like object. [e2e-llm-inference-service] [e2e-llm-inference-service] :param headers: [e2e-llm-inference-service] Dictionary of custom headers to send, such as User-Agent, [e2e-llm-inference-service] If-None-Match, etc. If None, pool headers are used. If provided, [e2e-llm-inference-service] these headers completely replace any pool-specific headers. [e2e-llm-inference-service] [e2e-llm-inference-service] :param retries: [e2e-llm-inference-service] Configure the number of retries to allow before raising a [e2e-llm-inference-service] :class:`~urllib3.exceptions.MaxRetryError` exception. [e2e-llm-inference-service] [e2e-llm-inference-service] If ``None`` (default) will retry 3 times, see ``Retry.DEFAULT``. Pass a [e2e-llm-inference-service] :class:`~urllib3.util.retry.Retry` object for fine-grained control [e2e-llm-inference-service] over different types of retries. [e2e-llm-inference-service] Pass an integer number to retry connection errors that many times, [e2e-llm-inference-service] but no other types of errors. Pass zero to never retry. [e2e-llm-inference-service] [e2e-llm-inference-service] If ``False``, then retries are disabled and any exception is raised [e2e-llm-inference-service] immediately. Also, instead of raising a MaxRetryError on redirects, [e2e-llm-inference-service] the redirect response will be returned. [e2e-llm-inference-service] [e2e-llm-inference-service] :type retries: :class:`~urllib3.util.retry.Retry`, False, or an int. [e2e-llm-inference-service] [e2e-llm-inference-service] :param redirect: [e2e-llm-inference-service] If True, automatically handle redirects (status codes 301, 302, [e2e-llm-inference-service] 303, 307, 308). Each redirect counts as a retry. Disabling retries [e2e-llm-inference-service] will disable redirect, too. [e2e-llm-inference-service] [e2e-llm-inference-service] :param assert_same_host: [e2e-llm-inference-service] If ``True``, will make sure that the host of the pool requests is [e2e-llm-inference-service] consistent else will raise HostChangedError. When ``False``, you can [e2e-llm-inference-service] use the pool on an HTTP proxy and request foreign hosts. [e2e-llm-inference-service] [e2e-llm-inference-service] :param timeout: [e2e-llm-inference-service] If specified, overrides the default timeout for this one [e2e-llm-inference-service] request. It may be a float (in seconds) or an instance of [e2e-llm-inference-service] :class:`urllib3.util.Timeout`. [e2e-llm-inference-service] [e2e-llm-inference-service] :param pool_timeout: [e2e-llm-inference-service] If set and the pool is set to block=True, then this method will [e2e-llm-inference-service] block for ``pool_timeout`` seconds and raise EmptyPoolError if no [e2e-llm-inference-service] connection is available within the time period. [e2e-llm-inference-service] [e2e-llm-inference-service] :param bool preload_content: [e2e-llm-inference-service] If True, the response's body will be preloaded into memory. [e2e-llm-inference-service] [e2e-llm-inference-service] :param bool decode_content: [e2e-llm-inference-service] If True, will attempt to decode the body based on the [e2e-llm-inference-service] 'content-encoding' header. [e2e-llm-inference-service] [e2e-llm-inference-service] :param release_conn: [e2e-llm-inference-service] If False, then the urlopen call will not release the connection [e2e-llm-inference-service] back into the pool once a response is received (but will release if [e2e-llm-inference-service] you read the entire contents of the response such as when [e2e-llm-inference-service] `preload_content=True`). This is useful if you're not preloading [e2e-llm-inference-service] the response's content immediately. You will need to call [e2e-llm-inference-service] ``r.release_conn()`` on the response ``r`` to return the connection [e2e-llm-inference-service] back into the pool. If None, it takes the value of ``preload_content`` [e2e-llm-inference-service] which defaults to ``True``. [e2e-llm-inference-service] [e2e-llm-inference-service] :param bool chunked: [e2e-llm-inference-service] If True, urllib3 will send the body using chunked transfer [e2e-llm-inference-service] encoding. Otherwise, urllib3 will send the body using the standard [e2e-llm-inference-service] content-length form. Defaults to False. [e2e-llm-inference-service] [e2e-llm-inference-service] :param int body_pos: [e2e-llm-inference-service] Position to seek to in file-like body in the event of a retry or [e2e-llm-inference-service] redirect. Typically this won't need to be set because urllib3 will [e2e-llm-inference-service] auto-populate the value when needed. [e2e-llm-inference-service] """ [e2e-llm-inference-service] # Ensure that the URL we're connecting to is properly encoded [e2e-llm-inference-service] if url.startswith("/"): [e2e-llm-inference-service] # URLs starting with / are inherently schemeless. [e2e-llm-inference-service] url = to_str(_encode_target(url)) [e2e-llm-inference-service] destination_scheme = None [e2e-llm-inference-service] else: [e2e-llm-inference-service] parsed_url = parse_url(url) [e2e-llm-inference-service] destination_scheme = parsed_url.scheme [e2e-llm-inference-service] url = to_str(parsed_url.url) [e2e-llm-inference-service] [e2e-llm-inference-service] if headers is None: [e2e-llm-inference-service] headers = self.headers [e2e-llm-inference-service] [e2e-llm-inference-service] if not isinstance(retries, Retry): [e2e-llm-inference-service] retries = Retry.from_int(retries, redirect=redirect, default=self.retries) [e2e-llm-inference-service] [e2e-llm-inference-service] if release_conn is None: [e2e-llm-inference-service] release_conn = preload_content [e2e-llm-inference-service] [e2e-llm-inference-service] # Check host [e2e-llm-inference-service] if assert_same_host and not self.is_same_host(url): [e2e-llm-inference-service] raise HostChangedError(self, url, retries) [e2e-llm-inference-service] [e2e-llm-inference-service] conn = None [e2e-llm-inference-service] [e2e-llm-inference-service] # Track whether `conn` needs to be released before [e2e-llm-inference-service] # returning/raising/recursing. Update this variable if necessary, and [e2e-llm-inference-service] # leave `release_conn` constant throughout the function. That way, if [e2e-llm-inference-service] # the function recurses, the original value of `release_conn` will be [e2e-llm-inference-service] # passed down into the recursive call, and its value will be respected. [e2e-llm-inference-service] # [e2e-llm-inference-service] # See issue #651 [1] for details. [e2e-llm-inference-service] # [e2e-llm-inference-service] # [1] [e2e-llm-inference-service] release_this_conn = release_conn [e2e-llm-inference-service] [e2e-llm-inference-service] http_tunnel_required = connection_requires_http_tunnel( [e2e-llm-inference-service] self.proxy, self.proxy_config, destination_scheme [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] # Merge the proxy headers. Only done when not using HTTP CONNECT. We [e2e-llm-inference-service] # have to copy the headers dict so we can safely change it without those [e2e-llm-inference-service] # changes being reflected in anyone else's copy. [e2e-llm-inference-service] if not http_tunnel_required: [e2e-llm-inference-service] headers = headers.copy() # type: ignore[attr-defined] [e2e-llm-inference-service] headers.update(self.proxy_headers) # type: ignore[union-attr] [e2e-llm-inference-service] [e2e-llm-inference-service] # Must keep the exception bound to a separate variable or else Python 3 [e2e-llm-inference-service] # complains about UnboundLocalError. [e2e-llm-inference-service] err = None [e2e-llm-inference-service] [e2e-llm-inference-service] # Keep track of whether we cleanly exited the except block. This [e2e-llm-inference-service] # ensures we do proper cleanup in finally. [e2e-llm-inference-service] clean_exit = False [e2e-llm-inference-service] [e2e-llm-inference-service] # Rewind body position, if needed. Record current position [e2e-llm-inference-service] # for future rewinds in the event of a redirect/retry. [e2e-llm-inference-service] body_pos = set_file_position(body, body_pos) [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] # Request a connection from the queue. [e2e-llm-inference-service] timeout_obj = self._get_timeout(timeout) [e2e-llm-inference-service] conn = self._get_conn(timeout=pool_timeout) [e2e-llm-inference-service] [e2e-llm-inference-service] conn.timeout = timeout_obj.connect_timeout # type: ignore[assignment] [e2e-llm-inference-service] [e2e-llm-inference-service] # Is this a closed/new connection that requires CONNECT tunnelling? [e2e-llm-inference-service] if self.proxy is not None and http_tunnel_required and conn.is_closed: [e2e-llm-inference-service] try: [e2e-llm-inference-service] self._prepare_proxy(conn) [e2e-llm-inference-service] except (BaseSSLError, OSError, SocketTimeout) as e: [e2e-llm-inference-service] self._raise_timeout( [e2e-llm-inference-service] err=e, url=self.proxy.url, timeout_value=conn.timeout [e2e-llm-inference-service] ) [e2e-llm-inference-service] raise [e2e-llm-inference-service] [e2e-llm-inference-service] # If we're going to release the connection in ``finally:``, then [e2e-llm-inference-service] # the response doesn't need to know about the connection. Otherwise [e2e-llm-inference-service] # it will also try to release it and we'll have a double-release [e2e-llm-inference-service] # mess. [e2e-llm-inference-service] response_conn = conn if not release_conn else None [e2e-llm-inference-service] [e2e-llm-inference-service] # Make the request on the HTTPConnection object [e2e-llm-inference-service] response = self._make_request( [e2e-llm-inference-service] conn, [e2e-llm-inference-service] method, [e2e-llm-inference-service] url, [e2e-llm-inference-service] timeout=timeout_obj, [e2e-llm-inference-service] body=body, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] chunked=chunked, [e2e-llm-inference-service] retries=retries, [e2e-llm-inference-service] response_conn=response_conn, [e2e-llm-inference-service] preload_content=preload_content, [e2e-llm-inference-service] decode_content=decode_content, [e2e-llm-inference-service] **response_kw, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] # Everything went great! [e2e-llm-inference-service] clean_exit = True [e2e-llm-inference-service] [e2e-llm-inference-service] except EmptyPoolError: [e2e-llm-inference-service] # Didn't get a connection from the pool, no need to clean up [e2e-llm-inference-service] clean_exit = True [e2e-llm-inference-service] release_this_conn = False [e2e-llm-inference-service] raise [e2e-llm-inference-service] [e2e-llm-inference-service] except ( [e2e-llm-inference-service] TimeoutError, [e2e-llm-inference-service] HTTPException, [e2e-llm-inference-service] OSError, [e2e-llm-inference-service] ProtocolError, [e2e-llm-inference-service] BaseSSLError, [e2e-llm-inference-service] SSLError, [e2e-llm-inference-service] CertificateError, [e2e-llm-inference-service] ProxyError, [e2e-llm-inference-service] ) as e: [e2e-llm-inference-service] # Discard the connection for these exceptions. It will be [e2e-llm-inference-service] # replaced during the next _get_conn() call. [e2e-llm-inference-service] clean_exit = False [e2e-llm-inference-service] new_e: Exception = e [e2e-llm-inference-service] if isinstance(e, (BaseSSLError, CertificateError)): [e2e-llm-inference-service] new_e = SSLError(e) [e2e-llm-inference-service] if isinstance( [e2e-llm-inference-service] new_e, [e2e-llm-inference-service] ( [e2e-llm-inference-service] OSError, [e2e-llm-inference-service] NewConnectionError, [e2e-llm-inference-service] TimeoutError, [e2e-llm-inference-service] SSLError, [e2e-llm-inference-service] HTTPException, [e2e-llm-inference-service] ), [e2e-llm-inference-service] ) and (conn and conn.proxy and not conn.has_connected_to_proxy): [e2e-llm-inference-service] new_e = _wrap_proxy_error(new_e, conn.proxy.scheme) [e2e-llm-inference-service] elif isinstance(new_e, (OSError, HTTPException)): [e2e-llm-inference-service] new_e = ProtocolError("Connection aborted.", new_e) [e2e-llm-inference-service] [e2e-llm-inference-service] retries = retries.increment( [e2e-llm-inference-service] method, url, error=new_e, _pool=self, _stacktrace=sys.exc_info()[2] [e2e-llm-inference-service] ) [e2e-llm-inference-service] retries.sleep() [e2e-llm-inference-service] [e2e-llm-inference-service] # Keep track of the error for the retry warning. [e2e-llm-inference-service] err = e [e2e-llm-inference-service] [e2e-llm-inference-service] finally: [e2e-llm-inference-service] if not clean_exit: [e2e-llm-inference-service] # We hit some kind of exception, handled or otherwise. We need [e2e-llm-inference-service] # to throw the connection away unless explicitly told not to. [e2e-llm-inference-service] # Close the connection, set the variable to None, and make sure [e2e-llm-inference-service] # we put the None back in the pool to avoid leaking it. [e2e-llm-inference-service] if conn: [e2e-llm-inference-service] conn.close() [e2e-llm-inference-service] conn = None [e2e-llm-inference-service] release_this_conn = True [e2e-llm-inference-service] [e2e-llm-inference-service] if release_this_conn: [e2e-llm-inference-service] # Put the connection back to be reused. If the connection is [e2e-llm-inference-service] # expired then it will be None, which will get replaced with a [e2e-llm-inference-service] # fresh connection during _get_conn. [e2e-llm-inference-service] self._put_conn(conn) [e2e-llm-inference-service] [e2e-llm-inference-service] if not conn: [e2e-llm-inference-service] # Try again [e2e-llm-inference-service] log.warning( [e2e-llm-inference-service] "Retrying (%r) after connection broken by '%r': %s", retries, err, url [e2e-llm-inference-service] ) [e2e-llm-inference-service] > return self.urlopen( [e2e-llm-inference-service] method, [e2e-llm-inference-service] url, [e2e-llm-inference-service] body, [e2e-llm-inference-service] headers, [e2e-llm-inference-service] retries, [e2e-llm-inference-service] redirect, [e2e-llm-inference-service] assert_same_host, [e2e-llm-inference-service] timeout=timeout, [e2e-llm-inference-service] pool_timeout=pool_timeout, [e2e-llm-inference-service] release_conn=release_conn, [e2e-llm-inference-service] chunked=chunked, [e2e-llm-inference-service] body_pos=body_pos, [e2e-llm-inference-service] preload_content=preload_content, [e2e-llm-inference-service] decode_content=decode_content, [e2e-llm-inference-service] **response_kw, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:872: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] method = 'POST', url = '/api/v1/namespaces' [e2e-llm-inference-service] body = '{"metadata": {"labels": {"kserve.io/e2e-test": "true"}, "name": "e2e-test-rolling-upgrade-coordination-a9229638"}}' [e2e-llm-inference-service] headers = HTTPHeaderDict({'Accept': 'application/json', 'User-Agent': 'OpenAPI-Generator/32.0.1/python', 'Content-Type': 'application/json'}) [e2e-llm-inference-service] retries = Retry(total=0, connect=None, read=None, redirect=None, status=None) [e2e-llm-inference-service] redirect = False, assert_same_host = False, timeout = None, pool_timeout = None [e2e-llm-inference-service] release_conn = True, chunked = False, body_pos = None, preload_content = True [e2e-llm-inference-service] decode_content = True, response_kw = {}, destination_scheme = None, conn = None [e2e-llm-inference-service] release_this_conn = True, http_tunnel_required = False [e2e-llm-inference-service] err = NameResolutionError("HTTPSConnection(host='acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.c...acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com' ([Errno -2] Name or service not known)") [e2e-llm-inference-service] clean_exit = False [e2e-llm-inference-service] [e2e-llm-inference-service] def urlopen( # type: ignore[override] [e2e-llm-inference-service] self, [e2e-llm-inference-service] method: str, [e2e-llm-inference-service] url: str, [e2e-llm-inference-service] body: _TYPE_BODY | None = None, [e2e-llm-inference-service] headers: typing.Mapping[str, str] | None = None, [e2e-llm-inference-service] retries: Retry | bool | int | None = None, [e2e-llm-inference-service] redirect: bool = True, [e2e-llm-inference-service] assert_same_host: bool = True, [e2e-llm-inference-service] timeout: _TYPE_TIMEOUT = _DEFAULT_TIMEOUT, [e2e-llm-inference-service] pool_timeout: int | None = None, [e2e-llm-inference-service] release_conn: bool | None = None, [e2e-llm-inference-service] chunked: bool = False, [e2e-llm-inference-service] body_pos: _TYPE_BODY_POSITION | None = None, [e2e-llm-inference-service] preload_content: bool = True, [e2e-llm-inference-service] decode_content: bool = True, [e2e-llm-inference-service] **response_kw: typing.Any, [e2e-llm-inference-service] ) -> BaseHTTPResponse: [e2e-llm-inference-service] """ [e2e-llm-inference-service] Get a connection from the pool and perform an HTTP request. This is the [e2e-llm-inference-service] lowest level call for making a request, so you'll need to specify all [e2e-llm-inference-service] the raw details. [e2e-llm-inference-service] [e2e-llm-inference-service] .. note:: [e2e-llm-inference-service] [e2e-llm-inference-service] More commonly, it's appropriate to use a convenience method [e2e-llm-inference-service] such as :meth:`request`. [e2e-llm-inference-service] [e2e-llm-inference-service] .. note:: [e2e-llm-inference-service] [e2e-llm-inference-service] `release_conn` will only behave as expected if [e2e-llm-inference-service] `preload_content=False` because we want to make [e2e-llm-inference-service] `preload_content=False` the default behaviour someday soon without [e2e-llm-inference-service] breaking backwards compatibility. [e2e-llm-inference-service] [e2e-llm-inference-service] :param method: [e2e-llm-inference-service] HTTP request method (such as GET, POST, PUT, etc.) [e2e-llm-inference-service] [e2e-llm-inference-service] :param url: [e2e-llm-inference-service] The URL to perform the request on. [e2e-llm-inference-service] [e2e-llm-inference-service] :param body: [e2e-llm-inference-service] Data to send in the request body, either :class:`str`, :class:`bytes`, [e2e-llm-inference-service] an iterable of :class:`str`/:class:`bytes`, or a file-like object. [e2e-llm-inference-service] [e2e-llm-inference-service] :param headers: [e2e-llm-inference-service] Dictionary of custom headers to send, such as User-Agent, [e2e-llm-inference-service] If-None-Match, etc. If None, pool headers are used. If provided, [e2e-llm-inference-service] these headers completely replace any pool-specific headers. [e2e-llm-inference-service] [e2e-llm-inference-service] :param retries: [e2e-llm-inference-service] Configure the number of retries to allow before raising a [e2e-llm-inference-service] :class:`~urllib3.exceptions.MaxRetryError` exception. [e2e-llm-inference-service] [e2e-llm-inference-service] If ``None`` (default) will retry 3 times, see ``Retry.DEFAULT``. Pass a [e2e-llm-inference-service] :class:`~urllib3.util.retry.Retry` object for fine-grained control [e2e-llm-inference-service] over different types of retries. [e2e-llm-inference-service] Pass an integer number to retry connection errors that many times, [e2e-llm-inference-service] but no other types of errors. Pass zero to never retry. [e2e-llm-inference-service] [e2e-llm-inference-service] If ``False``, then retries are disabled and any exception is raised [e2e-llm-inference-service] immediately. Also, instead of raising a MaxRetryError on redirects, [e2e-llm-inference-service] the redirect response will be returned. [e2e-llm-inference-service] [e2e-llm-inference-service] :type retries: :class:`~urllib3.util.retry.Retry`, False, or an int. [e2e-llm-inference-service] [e2e-llm-inference-service] :param redirect: [e2e-llm-inference-service] If True, automatically handle redirects (status codes 301, 302, [e2e-llm-inference-service] 303, 307, 308). Each redirect counts as a retry. Disabling retries [e2e-llm-inference-service] will disable redirect, too. [e2e-llm-inference-service] [e2e-llm-inference-service] :param assert_same_host: [e2e-llm-inference-service] If ``True``, will make sure that the host of the pool requests is [e2e-llm-inference-service] consistent else will raise HostChangedError. When ``False``, you can [e2e-llm-inference-service] use the pool on an HTTP proxy and request foreign hosts. [e2e-llm-inference-service] [e2e-llm-inference-service] :param timeout: [e2e-llm-inference-service] If specified, overrides the default timeout for this one [e2e-llm-inference-service] request. It may be a float (in seconds) or an instance of [e2e-llm-inference-service] :class:`urllib3.util.Timeout`. [e2e-llm-inference-service] [e2e-llm-inference-service] :param pool_timeout: [e2e-llm-inference-service] If set and the pool is set to block=True, then this method will [e2e-llm-inference-service] block for ``pool_timeout`` seconds and raise EmptyPoolError if no [e2e-llm-inference-service] connection is available within the time period. [e2e-llm-inference-service] [e2e-llm-inference-service] :param bool preload_content: [e2e-llm-inference-service] If True, the response's body will be preloaded into memory. [e2e-llm-inference-service] [e2e-llm-inference-service] :param bool decode_content: [e2e-llm-inference-service] If True, will attempt to decode the body based on the [e2e-llm-inference-service] 'content-encoding' header. [e2e-llm-inference-service] [e2e-llm-inference-service] :param release_conn: [e2e-llm-inference-service] If False, then the urlopen call will not release the connection [e2e-llm-inference-service] back into the pool once a response is received (but will release if [e2e-llm-inference-service] you read the entire contents of the response such as when [e2e-llm-inference-service] `preload_content=True`). This is useful if you're not preloading [e2e-llm-inference-service] the response's content immediately. You will need to call [e2e-llm-inference-service] ``r.release_conn()`` on the response ``r`` to return the connection [e2e-llm-inference-service] back into the pool. If None, it takes the value of ``preload_content`` [e2e-llm-inference-service] which defaults to ``True``. [e2e-llm-inference-service] [e2e-llm-inference-service] :param bool chunked: [e2e-llm-inference-service] If True, urllib3 will send the body using chunked transfer [e2e-llm-inference-service] encoding. Otherwise, urllib3 will send the body using the standard [e2e-llm-inference-service] content-length form. Defaults to False. [e2e-llm-inference-service] [e2e-llm-inference-service] :param int body_pos: [e2e-llm-inference-service] Position to seek to in file-like body in the event of a retry or [e2e-llm-inference-service] redirect. Typically this won't need to be set because urllib3 will [e2e-llm-inference-service] auto-populate the value when needed. [e2e-llm-inference-service] """ [e2e-llm-inference-service] # Ensure that the URL we're connecting to is properly encoded [e2e-llm-inference-service] if url.startswith("/"): [e2e-llm-inference-service] # URLs starting with / are inherently schemeless. [e2e-llm-inference-service] url = to_str(_encode_target(url)) [e2e-llm-inference-service] destination_scheme = None [e2e-llm-inference-service] else: [e2e-llm-inference-service] parsed_url = parse_url(url) [e2e-llm-inference-service] destination_scheme = parsed_url.scheme [e2e-llm-inference-service] url = to_str(parsed_url.url) [e2e-llm-inference-service] [e2e-llm-inference-service] if headers is None: [e2e-llm-inference-service] headers = self.headers [e2e-llm-inference-service] [e2e-llm-inference-service] if not isinstance(retries, Retry): [e2e-llm-inference-service] retries = Retry.from_int(retries, redirect=redirect, default=self.retries) [e2e-llm-inference-service] [e2e-llm-inference-service] if release_conn is None: [e2e-llm-inference-service] release_conn = preload_content [e2e-llm-inference-service] [e2e-llm-inference-service] # Check host [e2e-llm-inference-service] if assert_same_host and not self.is_same_host(url): [e2e-llm-inference-service] raise HostChangedError(self, url, retries) [e2e-llm-inference-service] [e2e-llm-inference-service] conn = None [e2e-llm-inference-service] [e2e-llm-inference-service] # Track whether `conn` needs to be released before [e2e-llm-inference-service] # returning/raising/recursing. Update this variable if necessary, and [e2e-llm-inference-service] # leave `release_conn` constant throughout the function. That way, if [e2e-llm-inference-service] # the function recurses, the original value of `release_conn` will be [e2e-llm-inference-service] # passed down into the recursive call, and its value will be respected. [e2e-llm-inference-service] # [e2e-llm-inference-service] # See issue #651 [1] for details. [e2e-llm-inference-service] # [e2e-llm-inference-service] # [1] [e2e-llm-inference-service] release_this_conn = release_conn [e2e-llm-inference-service] [e2e-llm-inference-service] http_tunnel_required = connection_requires_http_tunnel( [e2e-llm-inference-service] self.proxy, self.proxy_config, destination_scheme [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] # Merge the proxy headers. Only done when not using HTTP CONNECT. We [e2e-llm-inference-service] # have to copy the headers dict so we can safely change it without those [e2e-llm-inference-service] # changes being reflected in anyone else's copy. [e2e-llm-inference-service] if not http_tunnel_required: [e2e-llm-inference-service] headers = headers.copy() # type: ignore[attr-defined] [e2e-llm-inference-service] headers.update(self.proxy_headers) # type: ignore[union-attr] [e2e-llm-inference-service] [e2e-llm-inference-service] # Must keep the exception bound to a separate variable or else Python 3 [e2e-llm-inference-service] # complains about UnboundLocalError. [e2e-llm-inference-service] err = None [e2e-llm-inference-service] [e2e-llm-inference-service] # Keep track of whether we cleanly exited the except block. This [e2e-llm-inference-service] # ensures we do proper cleanup in finally. [e2e-llm-inference-service] clean_exit = False [e2e-llm-inference-service] [e2e-llm-inference-service] # Rewind body position, if needed. Record current position [e2e-llm-inference-service] # for future rewinds in the event of a redirect/retry. [e2e-llm-inference-service] body_pos = set_file_position(body, body_pos) [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] # Request a connection from the queue. [e2e-llm-inference-service] timeout_obj = self._get_timeout(timeout) [e2e-llm-inference-service] conn = self._get_conn(timeout=pool_timeout) [e2e-llm-inference-service] [e2e-llm-inference-service] conn.timeout = timeout_obj.connect_timeout # type: ignore[assignment] [e2e-llm-inference-service] [e2e-llm-inference-service] # Is this a closed/new connection that requires CONNECT tunnelling? [e2e-llm-inference-service] if self.proxy is not None and http_tunnel_required and conn.is_closed: [e2e-llm-inference-service] try: [e2e-llm-inference-service] self._prepare_proxy(conn) [e2e-llm-inference-service] except (BaseSSLError, OSError, SocketTimeout) as e: [e2e-llm-inference-service] self._raise_timeout( [e2e-llm-inference-service] err=e, url=self.proxy.url, timeout_value=conn.timeout [e2e-llm-inference-service] ) [e2e-llm-inference-service] raise [e2e-llm-inference-service] [e2e-llm-inference-service] # If we're going to release the connection in ``finally:``, then [e2e-llm-inference-service] # the response doesn't need to know about the connection. Otherwise [e2e-llm-inference-service] # it will also try to release it and we'll have a double-release [e2e-llm-inference-service] # mess. [e2e-llm-inference-service] response_conn = conn if not release_conn else None [e2e-llm-inference-service] [e2e-llm-inference-service] # Make the request on the HTTPConnection object [e2e-llm-inference-service] response = self._make_request( [e2e-llm-inference-service] conn, [e2e-llm-inference-service] method, [e2e-llm-inference-service] url, [e2e-llm-inference-service] timeout=timeout_obj, [e2e-llm-inference-service] body=body, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] chunked=chunked, [e2e-llm-inference-service] retries=retries, [e2e-llm-inference-service] response_conn=response_conn, [e2e-llm-inference-service] preload_content=preload_content, [e2e-llm-inference-service] decode_content=decode_content, [e2e-llm-inference-service] **response_kw, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] # Everything went great! [e2e-llm-inference-service] clean_exit = True [e2e-llm-inference-service] [e2e-llm-inference-service] except EmptyPoolError: [e2e-llm-inference-service] # Didn't get a connection from the pool, no need to clean up [e2e-llm-inference-service] clean_exit = True [e2e-llm-inference-service] release_this_conn = False [e2e-llm-inference-service] raise [e2e-llm-inference-service] [e2e-llm-inference-service] except ( [e2e-llm-inference-service] TimeoutError, [e2e-llm-inference-service] HTTPException, [e2e-llm-inference-service] OSError, [e2e-llm-inference-service] ProtocolError, [e2e-llm-inference-service] BaseSSLError, [e2e-llm-inference-service] SSLError, [e2e-llm-inference-service] CertificateError, [e2e-llm-inference-service] ProxyError, [e2e-llm-inference-service] ) as e: [e2e-llm-inference-service] # Discard the connection for these exceptions. It will be [e2e-llm-inference-service] # replaced during the next _get_conn() call. [e2e-llm-inference-service] clean_exit = False [e2e-llm-inference-service] new_e: Exception = e [e2e-llm-inference-service] if isinstance(e, (BaseSSLError, CertificateError)): [e2e-llm-inference-service] new_e = SSLError(e) [e2e-llm-inference-service] if isinstance( [e2e-llm-inference-service] new_e, [e2e-llm-inference-service] ( [e2e-llm-inference-service] OSError, [e2e-llm-inference-service] NewConnectionError, [e2e-llm-inference-service] TimeoutError, [e2e-llm-inference-service] SSLError, [e2e-llm-inference-service] HTTPException, [e2e-llm-inference-service] ), [e2e-llm-inference-service] ) and (conn and conn.proxy and not conn.has_connected_to_proxy): [e2e-llm-inference-service] new_e = _wrap_proxy_error(new_e, conn.proxy.scheme) [e2e-llm-inference-service] elif isinstance(new_e, (OSError, HTTPException)): [e2e-llm-inference-service] new_e = ProtocolError("Connection aborted.", new_e) [e2e-llm-inference-service] [e2e-llm-inference-service] retries = retries.increment( [e2e-llm-inference-service] method, url, error=new_e, _pool=self, _stacktrace=sys.exc_info()[2] [e2e-llm-inference-service] ) [e2e-llm-inference-service] retries.sleep() [e2e-llm-inference-service] [e2e-llm-inference-service] # Keep track of the error for the retry warning. [e2e-llm-inference-service] err = e [e2e-llm-inference-service] [e2e-llm-inference-service] finally: [e2e-llm-inference-service] if not clean_exit: [e2e-llm-inference-service] # We hit some kind of exception, handled or otherwise. We need [e2e-llm-inference-service] # to throw the connection away unless explicitly told not to. [e2e-llm-inference-service] # Close the connection, set the variable to None, and make sure [e2e-llm-inference-service] # we put the None back in the pool to avoid leaking it. [e2e-llm-inference-service] if conn: [e2e-llm-inference-service] conn.close() [e2e-llm-inference-service] conn = None [e2e-llm-inference-service] release_this_conn = True [e2e-llm-inference-service] [e2e-llm-inference-service] if release_this_conn: [e2e-llm-inference-service] # Put the connection back to be reused. If the connection is [e2e-llm-inference-service] # expired then it will be None, which will get replaced with a [e2e-llm-inference-service] # fresh connection during _get_conn. [e2e-llm-inference-service] self._put_conn(conn) [e2e-llm-inference-service] [e2e-llm-inference-service] if not conn: [e2e-llm-inference-service] # Try again [e2e-llm-inference-service] log.warning( [e2e-llm-inference-service] "Retrying (%r) after connection broken by '%r': %s", retries, err, url [e2e-llm-inference-service] ) [e2e-llm-inference-service] > return self.urlopen( [e2e-llm-inference-service] method, [e2e-llm-inference-service] url, [e2e-llm-inference-service] body, [e2e-llm-inference-service] headers, [e2e-llm-inference-service] retries, [e2e-llm-inference-service] redirect, [e2e-llm-inference-service] assert_same_host, [e2e-llm-inference-service] timeout=timeout, [e2e-llm-inference-service] pool_timeout=pool_timeout, [e2e-llm-inference-service] release_conn=release_conn, [e2e-llm-inference-service] chunked=chunked, [e2e-llm-inference-service] body_pos=body_pos, [e2e-llm-inference-service] preload_content=preload_content, [e2e-llm-inference-service] decode_content=decode_content, [e2e-llm-inference-service] **response_kw, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:872: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] method = 'POST', url = '/api/v1/namespaces' [e2e-llm-inference-service] body = '{"metadata": {"labels": {"kserve.io/e2e-test": "true"}, "name": "e2e-test-rolling-upgrade-coordination-a9229638"}}' [e2e-llm-inference-service] headers = HTTPHeaderDict({'Accept': 'application/json', 'User-Agent': 'OpenAPI-Generator/32.0.1/python', 'Content-Type': 'application/json'}) [e2e-llm-inference-service] retries = Retry(total=0, connect=None, read=None, redirect=None, status=None) [e2e-llm-inference-service] redirect = False, assert_same_host = False, timeout = None, pool_timeout = None [e2e-llm-inference-service] release_conn = True, chunked = False, body_pos = None, preload_content = True [e2e-llm-inference-service] decode_content = True, response_kw = {}, destination_scheme = None, conn = None [e2e-llm-inference-service] release_this_conn = True, http_tunnel_required = False, err = None [e2e-llm-inference-service] clean_exit = False [e2e-llm-inference-service] [e2e-llm-inference-service] def urlopen( # type: ignore[override] [e2e-llm-inference-service] self, [e2e-llm-inference-service] method: str, [e2e-llm-inference-service] url: str, [e2e-llm-inference-service] body: _TYPE_BODY | None = None, [e2e-llm-inference-service] headers: typing.Mapping[str, str] | None = None, [e2e-llm-inference-service] retries: Retry | bool | int | None = None, [e2e-llm-inference-service] redirect: bool = True, [e2e-llm-inference-service] assert_same_host: bool = True, [e2e-llm-inference-service] timeout: _TYPE_TIMEOUT = _DEFAULT_TIMEOUT, [e2e-llm-inference-service] pool_timeout: int | None = None, [e2e-llm-inference-service] release_conn: bool | None = None, [e2e-llm-inference-service] chunked: bool = False, [e2e-llm-inference-service] body_pos: _TYPE_BODY_POSITION | None = None, [e2e-llm-inference-service] preload_content: bool = True, [e2e-llm-inference-service] decode_content: bool = True, [e2e-llm-inference-service] **response_kw: typing.Any, [e2e-llm-inference-service] ) -> BaseHTTPResponse: [e2e-llm-inference-service] """ [e2e-llm-inference-service] Get a connection from the pool and perform an HTTP request. This is the [e2e-llm-inference-service] lowest level call for making a request, so you'll need to specify all [e2e-llm-inference-service] the raw details. [e2e-llm-inference-service] [e2e-llm-inference-service] .. note:: [e2e-llm-inference-service] [e2e-llm-inference-service] More commonly, it's appropriate to use a convenience method [e2e-llm-inference-service] such as :meth:`request`. [e2e-llm-inference-service] [e2e-llm-inference-service] .. note:: [e2e-llm-inference-service] [e2e-llm-inference-service] `release_conn` will only behave as expected if [e2e-llm-inference-service] `preload_content=False` because we want to make [e2e-llm-inference-service] `preload_content=False` the default behaviour someday soon without [e2e-llm-inference-service] breaking backwards compatibility. [e2e-llm-inference-service] [e2e-llm-inference-service] :param method: [e2e-llm-inference-service] HTTP request method (such as GET, POST, PUT, etc.) [e2e-llm-inference-service] [e2e-llm-inference-service] :param url: [e2e-llm-inference-service] The URL to perform the request on. [e2e-llm-inference-service] [e2e-llm-inference-service] :param body: [e2e-llm-inference-service] Data to send in the request body, either :class:`str`, :class:`bytes`, [e2e-llm-inference-service] an iterable of :class:`str`/:class:`bytes`, or a file-like object. [e2e-llm-inference-service] [e2e-llm-inference-service] :param headers: [e2e-llm-inference-service] Dictionary of custom headers to send, such as User-Agent, [e2e-llm-inference-service] If-None-Match, etc. If None, pool headers are used. If provided, [e2e-llm-inference-service] these headers completely replace any pool-specific headers. [e2e-llm-inference-service] [e2e-llm-inference-service] :param retries: [e2e-llm-inference-service] Configure the number of retries to allow before raising a [e2e-llm-inference-service] :class:`~urllib3.exceptions.MaxRetryError` exception. [e2e-llm-inference-service] [e2e-llm-inference-service] If ``None`` (default) will retry 3 times, see ``Retry.DEFAULT``. Pass a [e2e-llm-inference-service] :class:`~urllib3.util.retry.Retry` object for fine-grained control [e2e-llm-inference-service] over different types of retries. [e2e-llm-inference-service] Pass an integer number to retry connection errors that many times, [e2e-llm-inference-service] but no other types of errors. Pass zero to never retry. [e2e-llm-inference-service] [e2e-llm-inference-service] If ``False``, then retries are disabled and any exception is raised [e2e-llm-inference-service] immediately. Also, instead of raising a MaxRetryError on redirects, [e2e-llm-inference-service] the redirect response will be returned. [e2e-llm-inference-service] [e2e-llm-inference-service] :type retries: :class:`~urllib3.util.retry.Retry`, False, or an int. [e2e-llm-inference-service] [e2e-llm-inference-service] :param redirect: [e2e-llm-inference-service] If True, automatically handle redirects (status codes 301, 302, [e2e-llm-inference-service] 303, 307, 308). Each redirect counts as a retry. Disabling retries [e2e-llm-inference-service] will disable redirect, too. [e2e-llm-inference-service] [e2e-llm-inference-service] :param assert_same_host: [e2e-llm-inference-service] If ``True``, will make sure that the host of the pool requests is [e2e-llm-inference-service] consistent else will raise HostChangedError. When ``False``, you can [e2e-llm-inference-service] use the pool on an HTTP proxy and request foreign hosts. [e2e-llm-inference-service] [e2e-llm-inference-service] :param timeout: [e2e-llm-inference-service] If specified, overrides the default timeout for this one [e2e-llm-inference-service] request. It may be a float (in seconds) or an instance of [e2e-llm-inference-service] :class:`urllib3.util.Timeout`. [e2e-llm-inference-service] [e2e-llm-inference-service] :param pool_timeout: [e2e-llm-inference-service] If set and the pool is set to block=True, then this method will [e2e-llm-inference-service] block for ``pool_timeout`` seconds and raise EmptyPoolError if no [e2e-llm-inference-service] connection is available within the time period. [e2e-llm-inference-service] [e2e-llm-inference-service] :param bool preload_content: [e2e-llm-inference-service] If True, the response's body will be preloaded into memory. [e2e-llm-inference-service] [e2e-llm-inference-service] :param bool decode_content: [e2e-llm-inference-service] If True, will attempt to decode the body based on the [e2e-llm-inference-service] 'content-encoding' header. [e2e-llm-inference-service] [e2e-llm-inference-service] :param release_conn: [e2e-llm-inference-service] If False, then the urlopen call will not release the connection [e2e-llm-inference-service] back into the pool once a response is received (but will release if [e2e-llm-inference-service] you read the entire contents of the response such as when [e2e-llm-inference-service] `preload_content=True`). This is useful if you're not preloading [e2e-llm-inference-service] the response's content immediately. You will need to call [e2e-llm-inference-service] ``r.release_conn()`` on the response ``r`` to return the connection [e2e-llm-inference-service] back into the pool. If None, it takes the value of ``preload_content`` [e2e-llm-inference-service] which defaults to ``True``. [e2e-llm-inference-service] [e2e-llm-inference-service] :param bool chunked: [e2e-llm-inference-service] If True, urllib3 will send the body using chunked transfer [e2e-llm-inference-service] encoding. Otherwise, urllib3 will send the body using the standard [e2e-llm-inference-service] content-length form. Defaults to False. [e2e-llm-inference-service] [e2e-llm-inference-service] :param int body_pos: [e2e-llm-inference-service] Position to seek to in file-like body in the event of a retry or [e2e-llm-inference-service] redirect. Typically this won't need to be set because urllib3 will [e2e-llm-inference-service] auto-populate the value when needed. [e2e-llm-inference-service] """ [e2e-llm-inference-service] # Ensure that the URL we're connecting to is properly encoded [e2e-llm-inference-service] if url.startswith("/"): [e2e-llm-inference-service] # URLs starting with / are inherently schemeless. [e2e-llm-inference-service] url = to_str(_encode_target(url)) [e2e-llm-inference-service] destination_scheme = None [e2e-llm-inference-service] else: [e2e-llm-inference-service] parsed_url = parse_url(url) [e2e-llm-inference-service] destination_scheme = parsed_url.scheme [e2e-llm-inference-service] url = to_str(parsed_url.url) [e2e-llm-inference-service] [e2e-llm-inference-service] if headers is None: [e2e-llm-inference-service] headers = self.headers [e2e-llm-inference-service] [e2e-llm-inference-service] if not isinstance(retries, Retry): [e2e-llm-inference-service] retries = Retry.from_int(retries, redirect=redirect, default=self.retries) [e2e-llm-inference-service] [e2e-llm-inference-service] if release_conn is None: [e2e-llm-inference-service] release_conn = preload_content [e2e-llm-inference-service] [e2e-llm-inference-service] # Check host [e2e-llm-inference-service] if assert_same_host and not self.is_same_host(url): [e2e-llm-inference-service] raise HostChangedError(self, url, retries) [e2e-llm-inference-service] [e2e-llm-inference-service] conn = None [e2e-llm-inference-service] [e2e-llm-inference-service] # Track whether `conn` needs to be released before [e2e-llm-inference-service] # returning/raising/recursing. Update this variable if necessary, and [e2e-llm-inference-service] # leave `release_conn` constant throughout the function. That way, if [e2e-llm-inference-service] # the function recurses, the original value of `release_conn` will be [e2e-llm-inference-service] # passed down into the recursive call, and its value will be respected. [e2e-llm-inference-service] # [e2e-llm-inference-service] # See issue #651 [1] for details. [e2e-llm-inference-service] # [e2e-llm-inference-service] # [1] [e2e-llm-inference-service] release_this_conn = release_conn [e2e-llm-inference-service] [e2e-llm-inference-service] http_tunnel_required = connection_requires_http_tunnel( [e2e-llm-inference-service] self.proxy, self.proxy_config, destination_scheme [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] # Merge the proxy headers. Only done when not using HTTP CONNECT. We [e2e-llm-inference-service] # have to copy the headers dict so we can safely change it without those [e2e-llm-inference-service] # changes being reflected in anyone else's copy. [e2e-llm-inference-service] if not http_tunnel_required: [e2e-llm-inference-service] headers = headers.copy() # type: ignore[attr-defined] [e2e-llm-inference-service] headers.update(self.proxy_headers) # type: ignore[union-attr] [e2e-llm-inference-service] [e2e-llm-inference-service] # Must keep the exception bound to a separate variable or else Python 3 [e2e-llm-inference-service] # complains about UnboundLocalError. [e2e-llm-inference-service] err = None [e2e-llm-inference-service] [e2e-llm-inference-service] # Keep track of whether we cleanly exited the except block. This [e2e-llm-inference-service] # ensures we do proper cleanup in finally. [e2e-llm-inference-service] clean_exit = False [e2e-llm-inference-service] [e2e-llm-inference-service] # Rewind body position, if needed. Record current position [e2e-llm-inference-service] # for future rewinds in the event of a redirect/retry. [e2e-llm-inference-service] body_pos = set_file_position(body, body_pos) [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] # Request a connection from the queue. [e2e-llm-inference-service] timeout_obj = self._get_timeout(timeout) [e2e-llm-inference-service] conn = self._get_conn(timeout=pool_timeout) [e2e-llm-inference-service] [e2e-llm-inference-service] conn.timeout = timeout_obj.connect_timeout # type: ignore[assignment] [e2e-llm-inference-service] [e2e-llm-inference-service] # Is this a closed/new connection that requires CONNECT tunnelling? [e2e-llm-inference-service] if self.proxy is not None and http_tunnel_required and conn.is_closed: [e2e-llm-inference-service] try: [e2e-llm-inference-service] self._prepare_proxy(conn) [e2e-llm-inference-service] except (BaseSSLError, OSError, SocketTimeout) as e: [e2e-llm-inference-service] self._raise_timeout( [e2e-llm-inference-service] err=e, url=self.proxy.url, timeout_value=conn.timeout [e2e-llm-inference-service] ) [e2e-llm-inference-service] raise [e2e-llm-inference-service] [e2e-llm-inference-service] # If we're going to release the connection in ``finally:``, then [e2e-llm-inference-service] # the response doesn't need to know about the connection. Otherwise [e2e-llm-inference-service] # it will also try to release it and we'll have a double-release [e2e-llm-inference-service] # mess. [e2e-llm-inference-service] response_conn = conn if not release_conn else None [e2e-llm-inference-service] [e2e-llm-inference-service] # Make the request on the HTTPConnection object [e2e-llm-inference-service] response = self._make_request( [e2e-llm-inference-service] conn, [e2e-llm-inference-service] method, [e2e-llm-inference-service] url, [e2e-llm-inference-service] timeout=timeout_obj, [e2e-llm-inference-service] body=body, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] chunked=chunked, [e2e-llm-inference-service] retries=retries, [e2e-llm-inference-service] response_conn=response_conn, [e2e-llm-inference-service] preload_content=preload_content, [e2e-llm-inference-service] decode_content=decode_content, [e2e-llm-inference-service] **response_kw, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] # Everything went great! [e2e-llm-inference-service] clean_exit = True [e2e-llm-inference-service] [e2e-llm-inference-service] except EmptyPoolError: [e2e-llm-inference-service] # Didn't get a connection from the pool, no need to clean up [e2e-llm-inference-service] clean_exit = True [e2e-llm-inference-service] release_this_conn = False [e2e-llm-inference-service] raise [e2e-llm-inference-service] [e2e-llm-inference-service] except ( [e2e-llm-inference-service] TimeoutError, [e2e-llm-inference-service] HTTPException, [e2e-llm-inference-service] OSError, [e2e-llm-inference-service] ProtocolError, [e2e-llm-inference-service] BaseSSLError, [e2e-llm-inference-service] SSLError, [e2e-llm-inference-service] CertificateError, [e2e-llm-inference-service] ProxyError, [e2e-llm-inference-service] ) as e: [e2e-llm-inference-service] # Discard the connection for these exceptions. It will be [e2e-llm-inference-service] # replaced during the next _get_conn() call. [e2e-llm-inference-service] clean_exit = False [e2e-llm-inference-service] new_e: Exception = e [e2e-llm-inference-service] if isinstance(e, (BaseSSLError, CertificateError)): [e2e-llm-inference-service] new_e = SSLError(e) [e2e-llm-inference-service] if isinstance( [e2e-llm-inference-service] new_e, [e2e-llm-inference-service] ( [e2e-llm-inference-service] OSError, [e2e-llm-inference-service] NewConnectionError, [e2e-llm-inference-service] TimeoutError, [e2e-llm-inference-service] SSLError, [e2e-llm-inference-service] HTTPException, [e2e-llm-inference-service] ), [e2e-llm-inference-service] ) and (conn and conn.proxy and not conn.has_connected_to_proxy): [e2e-llm-inference-service] new_e = _wrap_proxy_error(new_e, conn.proxy.scheme) [e2e-llm-inference-service] elif isinstance(new_e, (OSError, HTTPException)): [e2e-llm-inference-service] new_e = ProtocolError("Connection aborted.", new_e) [e2e-llm-inference-service] [e2e-llm-inference-service] > retries = retries.increment( [e2e-llm-inference-service] method, url, error=new_e, _pool=self, _stacktrace=sys.exc_info()[2] [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:842: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = Retry(total=0, connect=None, read=None, redirect=None, status=None) [e2e-llm-inference-service] method = 'POST', url = '/api/v1/namespaces', response = None [e2e-llm-inference-service] error = NameResolutionError("HTTPSConnection(host='acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.c...acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com' ([Errno -2] Name or service not known)") [e2e-llm-inference-service] _pool = [e2e-llm-inference-service] _stacktrace = [e2e-llm-inference-service] [e2e-llm-inference-service] def increment( [e2e-llm-inference-service] self, [e2e-llm-inference-service] method: str | None = None, [e2e-llm-inference-service] url: str | None = None, [e2e-llm-inference-service] response: BaseHTTPResponse | None = None, [e2e-llm-inference-service] error: Exception | None = None, [e2e-llm-inference-service] _pool: ConnectionPool | None = None, [e2e-llm-inference-service] _stacktrace: TracebackType | None = None, [e2e-llm-inference-service] ) -> Self: [e2e-llm-inference-service] """Return a new Retry object with incremented retry counters. [e2e-llm-inference-service] [e2e-llm-inference-service] :param response: A response object, or None, if the server did not [e2e-llm-inference-service] return a response. [e2e-llm-inference-service] :type response: :class:`~urllib3.response.BaseHTTPResponse` [e2e-llm-inference-service] :param Exception error: An error encountered during the request, or [e2e-llm-inference-service] None if the response was received successfully. [e2e-llm-inference-service] [e2e-llm-inference-service] :return: A new ``Retry`` object. [e2e-llm-inference-service] """ [e2e-llm-inference-service] if self.total is False and error: [e2e-llm-inference-service] # Disabled, indicate to re-raise the error. [e2e-llm-inference-service] raise reraise(type(error), error, _stacktrace) [e2e-llm-inference-service] [e2e-llm-inference-service] total = self.total [e2e-llm-inference-service] if total is not None: [e2e-llm-inference-service] total -= 1 [e2e-llm-inference-service] [e2e-llm-inference-service] connect = self.connect [e2e-llm-inference-service] read = self.read [e2e-llm-inference-service] redirect = self.redirect [e2e-llm-inference-service] status_count = self.status [e2e-llm-inference-service] other = self.other [e2e-llm-inference-service] cause = "unknown" [e2e-llm-inference-service] status = None [e2e-llm-inference-service] redirect_location = None [e2e-llm-inference-service] [e2e-llm-inference-service] if error and self._is_connection_error(error): [e2e-llm-inference-service] # Connect retry? [e2e-llm-inference-service] if connect is False: [e2e-llm-inference-service] raise reraise(type(error), error, _stacktrace) [e2e-llm-inference-service] elif connect is not None: [e2e-llm-inference-service] connect -= 1 [e2e-llm-inference-service] [e2e-llm-inference-service] elif error and self._is_read_error(error): [e2e-llm-inference-service] # Read retry? [e2e-llm-inference-service] if read is False or method is None or not self._is_method_retryable(method): [e2e-llm-inference-service] raise reraise(type(error), error, _stacktrace) [e2e-llm-inference-service] elif read is not None: [e2e-llm-inference-service] read -= 1 [e2e-llm-inference-service] [e2e-llm-inference-service] elif error: [e2e-llm-inference-service] # Other retry? [e2e-llm-inference-service] if other is not None: [e2e-llm-inference-service] other -= 1 [e2e-llm-inference-service] [e2e-llm-inference-service] elif response and response.get_redirect_location(): [e2e-llm-inference-service] # Redirect retry? [e2e-llm-inference-service] if redirect is not None: [e2e-llm-inference-service] redirect -= 1 [e2e-llm-inference-service] cause = "too many redirects" [e2e-llm-inference-service] response_redirect_location = response.get_redirect_location() [e2e-llm-inference-service] if response_redirect_location: [e2e-llm-inference-service] redirect_location = response_redirect_location [e2e-llm-inference-service] status = response.status [e2e-llm-inference-service] [e2e-llm-inference-service] else: [e2e-llm-inference-service] # Incrementing because of a server error like a 500 in [e2e-llm-inference-service] # status_forcelist and the given method is in the allowed_methods [e2e-llm-inference-service] cause = ResponseError.GENERIC_ERROR [e2e-llm-inference-service] if response and response.status: [e2e-llm-inference-service] if status_count is not None: [e2e-llm-inference-service] status_count -= 1 [e2e-llm-inference-service] cause = ResponseError.SPECIFIC_ERROR.format(status_code=response.status) [e2e-llm-inference-service] status = response.status [e2e-llm-inference-service] [e2e-llm-inference-service] history = self.history + ( [e2e-llm-inference-service] RequestHistory(method, url, error, status, redirect_location), [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] new_retry = self.new( [e2e-llm-inference-service] total=total, [e2e-llm-inference-service] connect=connect, [e2e-llm-inference-service] read=read, [e2e-llm-inference-service] redirect=redirect, [e2e-llm-inference-service] status=status_count, [e2e-llm-inference-service] other=other, [e2e-llm-inference-service] history=history, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] if new_retry.is_exhausted(): [e2e-llm-inference-service] reason = error or ResponseError(cause) [e2e-llm-inference-service] > raise MaxRetryError(_pool, url, reason) from reason # type: ignore[arg-type] [e2e-llm-inference-service] E urllib3.exceptions.MaxRetryError: HTTPSConnectionPool(host='acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com', port=6443): Max retries exceeded with url: /api/v1/namespaces (Caused by NameResolutionError("HTTPSConnection(host='acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com', port=6443): Failed to resolve 'acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com' ([Errno -2] Name or service not known)")) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/util/retry.py:543: MaxRetryError [e2e-llm-inference-service] ------------------------------ Captured log setup ------------------------------ [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1769 No HTTP proxy configured for k8s client [e2e-llm-inference-service] WARNING urllib3.connectionpool:connectionpool.py:869 Retrying (Retry(total=2, connect=None, read=None, redirect=None, status=None)) after connection broken by 'NameResolutionError("HTTPSConnection(host='acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com', port=6443): Failed to resolve 'acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com' ([Errno -2] Name or service not known)")': /api/v1/namespaces [e2e-llm-inference-service] WARNING urllib3.connectionpool:connectionpool.py:869 Retrying (Retry(total=1, connect=None, read=None, redirect=None, status=None)) after connection broken by 'NameResolutionError("HTTPSConnection(host='acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com', port=6443): Failed to resolve 'acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com' ([Errno -2] Name or service not known)")': /api/v1/namespaces [e2e-llm-inference-service] WARNING urllib3.connectionpool:connectionpool.py:869 Retrying (Retry(total=0, connect=None, read=None, redirect=None, status=None)) after connection broken by 'NameResolutionError("HTTPSConnection(host='acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com', port=6443): Failed to resolve 'acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com' ([Errno -2] Name or service not known)")': /api/v1/namespaces [e2e-llm-inference-service] =================================== FAILURES =================================== [e2e-llm-inference-service] _ test_llm_inference_service[router-managed-workload-simulated-dp-ep-cpu-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] 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.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-gateway-1", [e2e-llm-inference-service] before_test=[ [e2e-llm-inference-service] lambda tc: create_router_resources( [e2e-llm-inference-service] gateways=[ [e2e-llm-inference-service] make_router_gateway( [e2e-llm-inference-service] "router-gateway-1", [e2e-llm-inference-service] tc.namespace, [e2e-llm-inference-service] ), [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.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-gateway-1", [e2e-llm-inference-service] before_test=[ [e2e-llm-inference-service] lambda tc: create_router_resources( [e2e-llm-inference-service] gateways=[ [e2e-llm-inference-service] make_router_gateway( [e2e-llm-inference-service] "router-gateway-1", [e2e-llm-inference-service] tc.namespace, [e2e-llm-inference-service] ), [e2e-llm-inference-service] ], [e2e-llm-inference-service] routes=[ [e2e-llm-inference-service] make_router_main_route( [e2e-llm-inference-service] "router-route-1", [e2e-llm-inference-service] tc.namespace, [e2e-llm-inference-service] "router-gateway-1", [e2e-llm-inference-service] "router-with-refs-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] make_router_health_route( [e2e-llm-inference-service] "router-route-2", [e2e-llm-inference-service] tc.namespace, [e2e-llm-inference-service] "router-gateway-1", [e2e-llm-inference-service] "router-with-refs-test", [e2e-llm-inference-service] ), [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.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-gateway-2", [e2e-llm-inference-service] before_test=[ [e2e-llm-inference-service] lambda tc: create_router_resources( [e2e-llm-inference-service] gateways=[ [e2e-llm-inference-service] make_router_gateway( [e2e-llm-inference-service] "router-gateway-2", [e2e-llm-inference-service] tc.namespace, [e2e-llm-inference-service] ), [e2e-llm-inference-service] ], [e2e-llm-inference-service] routes=[ [e2e-llm-inference-service] make_router_main_route( [e2e-llm-inference-service] "router-route-3", [e2e-llm-inference-service] tc.namespace, [e2e-llm-inference-service] "router-gateway-2", [e2e-llm-inference-service] "router-with-refs-pd-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] make_router_health_route( [e2e-llm-inference-service] "router-route-4", [e2e-llm-inference-service] tc.namespace, [e2e-llm-inference-service] "router-gateway-2", [e2e-llm-inference-service] "router-with-refs-pd-test", [e2e-llm-inference-service] ), [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.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=[ [e2e-llm-inference-service] lambda tc: create_scheduler_configmap(namespace=tc.namespace) [e2e-llm-inference-service] ], [e2e-llm-inference-service] after_test=[ [e2e-llm-inference-service] lambda tc: delete_scheduler_configmap(namespace=tc.namespace) [e2e-llm-inference-service] ], [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] # Standalone tokenizer — clean path: token-producer in inline config [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-tokenizer-kvcache", [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="tokenizer-clean-path-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] # Standalone tokenizer — migration path: legacy precise-prefix-cache-scorer [e2e-llm-inference-service] # triggers auto-provisioned tokenizer without explicit tokenizer:{} field [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="tokenizer-migration-path-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: "publishers/{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: "publishers/{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: "publishers/{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: "publishers/{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="publishers/{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] "publishers/{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: "publishers/{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] "publishers/{namespace}/models/facebook/opt-125m", [e2e-llm-inference-service] "lora-adapter-1", [e2e-llm-inference-service] "publishers/{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: "publishers/{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=[lambda tc: ensure_pvc_with_model(namespace=tc.namespace)], [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=[lambda tc: ensure_pvc_with_model(namespace=tc.namespace)], [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=[lambda tc: ensure_pvc_with_model(namespace=tc.namespace)], [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] 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:866: [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 = '2026-07-28T17:28:47.331533', start_time = 1785259727.3317983 [e2e-llm-inference-service] duration = 900.9251055717468, timestamp_end = '2026-07-28T17:43:48.256909' [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] all_condition_types = 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] ctype = condition.get("type") [e2e-llm-inference-service] all_condition_types.add(ctype) [e2e-llm-inference-service] if condition.get("status") == "True": [e2e-llm-inference-service] got_true_conditions.add(ctype) [e2e-llm-inference-service] [e2e-llm-inference-service] # When TokenizerReady is present, it must also be True [e2e-llm-inference-service] if "TokenizerReady" in all_condition_types: [e2e-llm-inference-service] expected_true_conditions.add("TokenizerReady") [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:1376: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] assertion_fn = .assert_llm_isvc_ready at 0x7f56d97f1760> [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:1387: [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] all_condition_types = 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] ctype = condition.get("type") [e2e-llm-inference-service] all_condition_types.add(ctype) [e2e-llm-inference-service] if condition.get("status") == "True": [e2e-llm-inference-service] got_true_conditions.add(ctype) [e2e-llm-inference-service] [e2e-llm-inference-service] # When TokenizerReady is present, it must also be True [e2e-llm-inference-service] if "TokenizerReady" in all_condition_types: [e2e-llm-inference-service] expected_true_conditions.add("TokenizerReady") [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: {'WorkloadsReady', 'Ready'}, expected {'WorkloadsReady', 'RouterReady', 'Ready'}, got [{'lastTransitionTime': '2026-07-28T17:29:35Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-28T17:29:35Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T17:29:13Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T17:29:44Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T17:29:44Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T17:29:44Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T17:29:13Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'WorkerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T17:29:13Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:1371: AssertionError [e2e-llm-inference-service] ------------------------------ Captured log setup ------------------------------ [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1769 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.namespace:namespace.py:82 Created test namespace e2e-test-llm-inference-service-63a03ef4 [e2e-llm-inference-service] INFO e2e.llmisvc.namespace:namespace.py:131 Copied secret seaweedfs-s3-creds from kserve-ci-e2e-test to e2e-test-llm-inference-service-63a03ef4 [e2e-llm-inference-service] INFO e2e.llmisvc.namespace:namespace.py:131 Copied secret storage-config from kserve-ci-e2e-test to e2e-test-llm-inference-service-63a03ef4 [e2e-llm-inference-service] INFO e2e.llmisvc.namespace:namespace.py:178 Patched default SA in e2e-test-llm-inference-service-63a03ef4 with secret seaweedfs-s3-creds [e2e-llm-inference-service] INFO e2e.llmisvc.namespace:namespace.py:162 ConfigMap odh-kserve-custom-ca-bundle already exists in e2e-test-llm-inference-service-63a03ef4 [e2e-llm-inference-service] INFO e2e.llmisvc.namespace:namespace.py:159 Copied ConfigMap odh-trusted-ca-bundle from kserve-ci-e2e-test to e2e-test-llm-inference-service-63a03ef4 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1769 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1718 Checking LLMInferenceServiceConfig router-managed-llmisvc-model-fb-a575f6e7 in namespace e2e-test-llm-inference-service-63a03ef4 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1744 Resource not found, creating LLMInferenceServiceConfig router-managed-llmisvc-model-fb-a575f6e7 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1754 ✓ Successfully created LLMInferenceServiceConfig router-managed-llmisvc-model-fb-a575f6e7 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1718 Checking LLMInferenceServiceConfig workload-simulated-dp-ep-cpu-ll-b2c82424 in namespace e2e-test-llm-inference-service-63a03ef4 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1744 Resource not found, creating LLMInferenceServiceConfig workload-simulated-dp-ep-cpu-ll-b2c82424 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1754 ✓ Successfully created LLMInferenceServiceConfig workload-simulated-dp-ep-cpu-ll-b2c82424 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1718 Checking LLMInferenceServiceConfig model-fb-opt-125m-llmisvc-model-9f2e00e5 in namespace e2e-test-llm-inference-service-63a03ef4 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1744 Resource not found, creating LLMInferenceServiceConfig model-fb-opt-125m-llmisvc-model-9f2e00e5 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1754 ✓ 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] [2026-07-28T17:28:47.073561] 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, namespace='e2e-test-llm-inference-service-63a03ef4', 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-route-dc21cb14', [e2e-llm-inference-service] 'namespace': 'e2e-test-llm-inference-service-63a03ef4', [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:1769 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [create_llmisvc] [2026-07-28T17:28:47.086423] 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': 'e2e-test-llm-inference-service-63a03ef4', [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] [2026-07-28T17:28:47.331391] end - ✅ in 0.245s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [wait_for_llm_isvc_ready] [2026-07-28T17:28:47.331533] 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': 'e2e-test-llm-inference-service-63a03ef4', [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:1394 Waiting: No conditions found in status [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1394 Waiting: Missing true conditions: {'WorkloadsReady', 'RouterReady', 'Ready'}, expected {'WorkloadsReady', 'RouterReady', 'Ready'}, got [{'lastTransitionTime': '2026-07-28T17:29:13Z', 'message': 'The following HTTPRoutes are not ready: [e2e-test-llm-inference-service-63a03ef4/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': '2026-07-28T17:29:13Z', 'message': 'Inference Pool e2e-test-llm-inference-service-63a03ef4/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': '2026-07-28T17:29:13Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T17:29:13Z', 'message': 'The following HTTPRoutes are not ready: [e2e-test-llm-inference-service-63a03ef4/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': '2026-07-28T17:29:13Z', 'message': 'The following HTTPRoutes are not ready: [e2e-test-llm-inference-service-63a03ef4/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': '2026-07-28T17:29:13Z', 'message': 'Deployment rollout in progress', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T17:29:13Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'WorkerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T17:29:13Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1394 Waiting: Missing true conditions: {'WorkloadsReady', 'RouterReady', 'Ready'}, expected {'WorkloadsReady', 'RouterReady', 'Ready'}, got [{'lastTransitionTime': '2026-07-28T17:29:35Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-28T17:29:35Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T17:29:13Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T17:29:35Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T17:29:35Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T17:29:35Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T17:29:13Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'WorkerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T17:29:13Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1394 Waiting: Missing true conditions: {'WorkloadsReady', 'Ready'}, expected {'WorkloadsReady', 'RouterReady', 'Ready'}, got [{'lastTransitionTime': '2026-07-28T17:29:35Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-28T17:29:35Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T17:29:13Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T17:29:44Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T17:29:44Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T17:29:44Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T17:29:13Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'WorkerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T17:29:13Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:test_llm_inference_service.py:1391 Timed out waiting: Missing true conditions: {'WorkloadsReady', 'Ready'}, expected {'WorkloadsReady', 'RouterReady', 'Ready'}, got [{'lastTransitionTime': '2026-07-28T17:29:35Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-28T17:29:35Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T17:29:13Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T17:29:44Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T17:29:44Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T17:29:44Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T17:29:13Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'WorkerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T17:29:13Z', '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] [2026-07-28T17:43:48.256909] end - ❌ 900.925s: Missing true conditions: {'WorkloadsReady', 'Ready'}, expected {'WorkloadsReady', 'RouterReady', 'Ready'}, got [{'lastTransitionTime': '2026-07-28T17:29:35Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-28T17:29:35Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T17:29:13Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T17:29:44Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T17:29:44Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T17:29:44Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T17:29:13Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'WorkerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T17:29:13Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:test_llm_inference_service.py:903 [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: {'WorkloadsReady', 'Ready'}, expected {'WorkloadsReady', 'RouterReady', 'Ready'}, got [{'lastTransitionTime': '2026-07-28T17:29:35Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-28T17:29:35Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T17:29:13Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T17:29:44Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T17:29:44Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T17:29:44Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T17:29:13Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'WorkerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T17:29:13Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:243 # Diagnostics for 'llmisvc-model-fb-opt-125m-route-dc21cb14' in 'e2e-test-llm-inference-service-63a03ef4' [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:244 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:247 # LLMInferenceService llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:256 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: '2026-07-28T17:28:47Z' [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: '2026-07-28T17:28:47Z' [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: '2026-07-28T17:28:55Z' [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-scheduler-latency-predictor: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-template: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-tokenizer: {} [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: '2026-07-28T17:29:44Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-63a03ef4 [e2e-llm-inference-service] resourceVersion: '27875' [e2e-llm-inference-service] uid: 01b7d611-2524-47c7-9ffa-49f8236719be [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://a2f315e697b4a44a49ee5648ecb7c72c-2003302153.us-east-1.elb.amazonaws.com/ [e2e-llm-inference-service] - name: gateway-external [e2e-llm-inference-service] url: http://a2f315e697b4a44a49ee5648ecb7c72c-2003302153.us-east-1.elb.amazonaws.com/e2e-test-llm-inference-service-63a03ef4/llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] - name: gateway-external [e2e-llm-inference-service] url: http://a2f315e697b4a44a49ee5648ecb7c72c-2003302153.us-east-1.elb.amazonaws.com/publishers/e2e-test-llm-inference-service-63a03ef4/models/facebook/opt-125m [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/e2e-test-llm-inference-service-63a03ef4/llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] - name: gateway-internal [e2e-llm-inference-service] url: http://openshift-ai-inference-openshift-default.openshift-ingress.svc.cluster.local/publishers/e2e-test-llm-inference-service-63a03ef4/models/facebook/opt-125m [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-scheduler-latency-predictor: kserve-config-llm-scheduler-latency-predictor [e2e-llm-inference-service] serving.kserve.io/config-llm-template: kserve-config-llm-template [e2e-llm-inference-service] serving.kserve.io/config-llm-tokenizer: kserve-config-llm-tokenizer [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: '2026-07-28T17:29:35Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: HTTPRoutesReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-28T17:29:35Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: InferencePoolReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-28T17:29:13Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: PresetsCombined [e2e-llm-inference-service] - lastTransitionTime: '2026-07-28T17:29:44Z' [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: '2026-07-28T17:29:44Z' [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: RouterReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-28T17:29:44Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: SchedulerWorkloadReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-28T17:29:13Z' [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: '2026-07-28T17:29:13Z' [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://a2f315e697b4a44a49ee5648ecb7c72c-2003302153.us-east-1.elb.amazonaws.com/e2e-test-llm-inference-service-63a03ef4/llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:68 TIME NAMESPACE SOURCE TYPE REASON MESSAGE [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:69 -------------------------------------------------------------------------------------------------- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 None e2e-test-llm-inference-service-63a03ef4 Normal Scheduled Successfully assigned e2e-test-llm-inference-service-63a03ef4/llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn-0-1 to ip-10-0-130-0.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 17:29:12 e2e-test-llm-inference-service-63a03ef4 multus Normal AddedInterface Add eth0 [10.134.0.36/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 17:29:12 e2e-test-llm-inference-service-63a03ef4 kubelet/ip-10-0-130-0.ec2.internal Normal Pulling Pulling image "quay.io/opendatahub/kserve-storage-initializer@sha256:3049312fa55515cbc94d5484b2c3ba6994735bde07ec862ad9b359b89e6c0af0" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 17:29:17 e2e-test-llm-inference-service-63a03ef4 kubelet/ip-10-0-130-0.ec2.internal Normal Pulled Successfully pulled image "quay.io/opendatahub/kserve-storage-initializer@sha256:3049312fa55515cbc94d5484b2c3ba6994735bde07ec862ad9b359b89e6c0af0" in 4.431s (4.431s including waiting). Image size: 300977080 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 17:29:17 e2e-test-llm-inference-service-63a03ef4 kubelet/ip-10-0-130-0.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 17:29:17 e2e-test-llm-inference-service-63a03ef4 kubelet/ip-10-0-130-0.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 None e2e-test-llm-inference-service-63a03ef4 Normal Scheduled Successfully assigned e2e-test-llm-inference-service-63a03ef4/llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn-0 to ip-10-0-133-48.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 17:29:12 e2e-test-llm-inference-service-63a03ef4 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:80 2026-07-28 17:29:12 e2e-test-llm-inference-service-63a03ef4 multus Normal AddedInterface Add eth0 [10.132.0.31/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 17:29:12 e2e-test-llm-inference-service-63a03ef4 kubelet/ip-10-0-133-48.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:3049312fa55515cbc94d5484b2c3ba6994735bde07ec862ad9b359b89e6c0af0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 17:29:12 e2e-test-llm-inference-service-63a03ef4 kubelet/ip-10-0-133-48.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 17:29:12 e2e-test-llm-inference-service-63a03ef4 kubelet/ip-10-0-133-48.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 17:29:12 e2e-test-llm-inference-service-63a03ef4 leaderworkerset Normal CreatingRevision Creating revision with key 55cfbd9c6b for a newly created LeaderWorkerSet [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 17:29:12 e2e-test-llm-inference-service-63a03ef4 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:80 2026-07-28 17:29:12 e2e-test-llm-inference-service-63a03ef4 leaderworkerset Normal GroupsProgressing Replicas are progressing, with 0 groups ready of total 1 groups [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 17:29:12 e2e-test-llm-inference-service-63a03ef4 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:80 2026-07-28 17:29:12 e2e-test-llm-inference-service-63a03ef4 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:80 2026-07-28 17:28:57 e2e-test-llm-inference-service-63a03ef4 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 e2e-test-llm-inference-service-63a03ef4/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:80 2026-07-28 17:29:11 e2e-test-llm-inference-service-63a03ef4 LLMInferenceServiceController Normal Created Created v1.Secret e2e-test-llm-inference-service-63a03ef4/llmisv32fd5468e8138ec3cd54cf7b9c18cfb0-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 17:29:11 e2e-test-llm-inference-service-63a03ef4 LLMInferenceServiceController Normal Created Created v1.RoleBinding e2e-test-llm-inference-service-63a03ef4/llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn-scc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 17:29:11 e2e-test-llm-inference-service-63a03ef4 LLMInferenceServiceController Normal Created Created v1.ServiceAccount e2e-test-llm-inference-service-63a03ef4/llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 17:29:11 e2e-test-llm-inference-service-63a03ef4 LLMInferenceServiceController Normal Created Created v1.LeaderWorkerSet e2e-test-llm-inference-service-63a03ef4/llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 17:29:11 e2e-test-llm-inference-service-63a03ef4 LLMInferenceServiceController Normal Created Created v1.Service e2e-test-llm-inference-service-63a03ef4/llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 17:29:11 e2e-test-llm-inference-service-63a03ef4 LLMInferenceServiceController Normal Created Created v1.ServiceAccount e2e-test-llm-inference-service-63a03ef4/llmisvc-model-fb-opt-125m-route-dc21cb14-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 17:29:11 e2e-test-llm-inference-service-63a03ef4 LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /e2e-test-llm-inference-service-cf398507287dcdc1c47da8051d38d9d5 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 17:29:12 e2e-test-llm-inference-service-63a03ef4 LLMInferenceServiceController Normal Created Created v1.Role e2e-test-llm-inference-service-63a03ef4/llmisvc-model-fb-opt-125m-route-dc21cb14-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 17:29:12 e2e-test-llm-inference-service-63a03ef4 LLMInferenceServiceController Normal Created Created v1.RoleBinding e2e-test-llm-inference-service-63a03ef4/llmisvc-model-fb-opt-125m-route-dc21cb14-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 17:29:34 e2e-test-llm-inference-service-63a03ef4 LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule e2e-test-llm-inference-service-63a03ef4/llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 17:29:33 e2e-test-llm-inference-service-63a03ef4 LLMInferenceServiceController Normal Updated Updated v1.Secret e2e-test-llm-inference-service-63a03ef4/llmisv32fd5468e8138ec3cd54cf7b9c18cfb0-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 17:29:34 e2e-test-llm-inference-service-63a03ef4 LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute e2e-test-llm-inference-service-63a03ef4/llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 17:29:12 e2e-test-llm-inference-service-63a03ef4 replicaset-controller Normal SuccessfulCreate Created pod: llmisvc32fd5468e8138ec3cd54cf7b9c18cfb0-kserve-router-schendz4x [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 17:29:12 e2e-test-llm-inference-service-63a03ef4 deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc32fd5468e8138ec3cd54cf7b9c18cfb0-kserve-router-scheduler-76c75dfb86 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 None e2e-test-llm-inference-service-63a03ef4 Normal Scheduled Successfully assigned e2e-test-llm-inference-service-63a03ef4/llmisvc32fd5468e8138ec3cd54cf7b9c18cfb0-kserve-router-schendz4x to ip-10-0-138-42.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 17:29:12 e2e-test-llm-inference-service-63a03ef4 multus Normal AddedInterface Add eth0 [10.133.0.44/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 17:29:12 e2e-test-llm-inference-service-63a03ef4 kubelet/ip-10-0-138-42.ec2.internal Normal Pulled Container image "quay.io/opendatahub/odh-llm-d-router-endpoint-picker:v0.9.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 17:29:12 e2e-test-llm-inference-service-63a03ef4 kubelet/ip-10-0-138-42.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 17:29:12 e2e-test-llm-inference-service-63a03ef4 kubelet/ip-10-0-138-42.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:172 ### Pod llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn-0 (phase=Pending) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:212 #### init-container 'storage-initializer' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:225 # -- logs (current) -- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:226 2026-07-28 17:29:12.973 1 storage.initializer INFO [initializer-entrypoint:():17] Initializing, args: (src_uri, dest_path): [('hf://facebook/opt-125m', '/mnt/models')] [e2e-llm-inference-service] 2026-07-28 17:29:12.974 1 storage.initializer INFO [kserve_storage.py:download():168] 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_d1ae6002-e93a-429e-8134-b6d2404f0fff'. [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_efce05db-7b8d-4242-bc05-9c5bc7282b2f'. [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_b5622182-5170-408d-b6f6-4c9e85ecd969'. [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_f4d8823b-7541-4581-b2a7-7421754f5f5e'. [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_4bc5fb88-6675-40de-ba18-97d134a28ffd'. [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_e911e338-555b-4b8b-9dad-0f7c7fecb365'. [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_5572f3f3-34d7-498c-9458-fa45d1330fa7'. [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_8f5481ff-113b-41a1-b7cd-8e6ba0030a58'. [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_6bf99bdc-120c-4e86-9bba-250b8da0e3d8'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:212 #### container 'main' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:228 # -- logs (current): unavailable ((400) [e2e-llm-inference-service] Reason: Bad Request [e2e-llm-inference-service] HTTP response headers: HTTPHeaderDict({'Audit-Id': '513fc8e6-144a-4f37-8f30-6742b0a14219', 'Cache-Control': 'no-cache, private', 'Content-Type': 'application/json', 'Strict-Transport-Security': 'max-age=31536000; includeSubDomains; preload', 'Date': 'Tue, 28 Jul 2026 17:43:48 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:172 ### Pod llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn-0-1 (phase=Pending) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:212 #### init-container 'storage-initializer' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:225 # -- logs (current) -- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:226 2026-07-28 17:29:17.466 1 storage.initializer INFO [initializer-entrypoint:():17] Initializing, args: (src_uri, dest_path): [('hf://facebook/opt-125m', '/mnt/models')] [e2e-llm-inference-service] 2026-07-28 17:29:17.467 1 storage.initializer INFO [kserve_storage.py:download():168] 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_f17060d3-6bda-479e-94c6-60a539a1f1f1'. [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_db44ed7f-00f6-4b8e-9479-eeb0117f0b40'. [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_5c2e0392-7275-446b-b6ec-a7f40a39bacf'. [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_1870b4ca-b54f-463d-9d4c-ee28c049b79b'. [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_dac9f3cd-7fb0-4330-af8c-d1cdb644b053'. [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_79b976d4-5231-46f4-8ffd-c77de5fa102a'. [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_c151ce5c-1d1d-4d6d-86a1-fa1be3e4314f'. [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_d6a05d31-e849-4041-8f85-efdeac839f84'. [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_2cd8fce8-a06d-455e-82f6-58f9f209f5f0'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:212 #### container 'main' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:228 # -- logs (current): unavailable ((400) [e2e-llm-inference-service] Reason: Bad Request [e2e-llm-inference-service] HTTP response headers: HTTPHeaderDict({'Audit-Id': '023f577f-97af-4160-bade-47fad6e6c125', 'Cache-Control': 'no-cache, private', 'Content-Type': 'application/json', 'Strict-Transport-Security': 'max-age=31536000; includeSubDomains; preload', 'Date': 'Tue, 28 Jul 2026 17:43:48 GMT', 'Content-Length': '236'}) [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-0-1\" 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:172 ### Pod llmisvc32fd5468e8138ec3cd54cf7b9c18cfb0-kserve-router-schendz4x (phase=Running) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:212 #### container 'main' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:225 # -- logs (current) -- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:226 {"level":"info","ts":1785259752.8765934,"logger":"setup","caller":"runner/runner.go:196","msg":"GIE build","commit-sha":"unknown","build-ref":""} [e2e-llm-inference-service] {"level":"info","ts":1785259752.8767385,"logger":"setup","caller":"runner/runner.go:217","msg":"Flags processed","flags":{"cert-path":"/var/run/kserve/tls","config-file":"","config-text":"apiVersion: llm-d.ai/v1alpha1\nkind: EndpointPickerConfig\nplugins:\n- type: single-profile-handler\n- type: queue-scorer\n- type: kv-cache-utilization-scorer\n- type: prefix-cache-scorer\n- type: no-hit-lru-scorer\n- type: max-score-picker\n- parameters:\n scheme: https\n type: metrics-data-source\nschedulingProfiles:\n- name: default\n plugins:\n - pluginRef: queue-scorer\n weight: 2\n - pluginRef: kv-cache-utilization-scorer\n weight: 2\n - pluginRef: prefix-cache-scorer\n weight: 3\n - pluginRef: no-hit-lru-scorer\n weight: 2\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":"http","pool-group":"inference.networking.k8s.io","pool-name":"llmisvc-model-fb-opt-125m-route-dc21cb14-inference-pool","pool-namespace":"e2e-test-llm-inference-service-63a03ef4","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":1785259752.876866,"logger":"setup.trace","caller":"tracing/telemetry.go:123","msg":"init OTel trace exporter","type":"console"} [e2e-llm-inference-service] {"level":"info","ts":1785259752.8773537,"caller":"loader/configloader.go:121","msg":"Loaded raw configuration","config":"{Plugins: [{Type: single-profile-handler} {Type: queue-scorer} {Type: kv-cache-utilization-scorer} {Type: prefix-cache-scorer} {Type: no-hit-lru-scorer} {Type: max-score-picker} {Type: metrics-data-source, Parameters: {\"scheme\":\"https\"}}], SchedulingProfiles: [{Name: default, Plugins: [{PluginRef: queue-scorer, Weight: 2.00} {PluginRef: kv-cache-utilization-scorer, Weight: 2.00} {PluginRef: prefix-cache-scorer, Weight: 3.00} {PluginRef: no-hit-lru-scorer, Weight: 2.00} {PluginRef: max-score-picker}]}]}"} [e2e-llm-inference-service] {"level":"info","ts":1785259752.8773777,"logger":"setup","caller":"runner/runner.go:622","msg":"Data layer: ENABLED"} [e2e-llm-inference-service] {"level":"info","ts":1785259752.877673,"logger":"setup","caller":"runner/runner.go:281","msg":"Raw config after phase one","config":{"apiVersion":"llm-d.ai/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":"kv-cache-utilization-scorer","parameters":null,"type":"kv-cache-utilization-scorer"},{"name":"prefix-cache-scorer","parameters":null,"type":"prefix-cache-scorer"},{"name":"no-hit-lru-scorer","parameters":null,"type":"no-hit-lru-scorer"},{"name":"max-score-picker","parameters":null,"type":"max-score-picker"},{"name":"metrics-data-source","parameters":{"scheme":"https"},"type":"metrics-data-source"}],"schedulingProfiles":[{"name":"default","plugins":[{"pluginRef":"queue-scorer","weight":2},{"pluginRef":"kv-cache-utilization-scorer","weight":2},{"pluginRef":"prefix-cache-scorer","weight":3},{"pluginRef":"no-hit-lru-scorer","weight":2},{"pluginRef":"max-score-picker","weight":null}]}]}} [e2e-llm-inference-service] {"level":"info","ts":1785259752.9020176,"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":1785259752.9021325,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"vllm","mapping":"Mapping{all specs enabled}"} [e2e-llm-inference-service] {"level":"info","ts":1785259752.9021733,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"sglang","mapping":"Mapping{disabled: [lora]}"} [e2e-llm-inference-service] {"level":"info","ts":1785259752.9022086,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"trtllm-serve","mapping":"Mapping{disabled: [lora, cacheInfo]}"} [e2e-llm-inference-service] {"level":"info","ts":1785259752.902269,"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":1785259752.9022884,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"triton","mapping":"Mapping{disabled: [kv, lora, cacheInfo]}"} [e2e-llm-inference-service] {"level":"info","ts":1785259752.902356,"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: kv-cache-utilization-scorer, Type: kv-cache-utilization-scorer} {Name: prefix-cache-scorer, Type: prefix-cache-scorer} {Name: no-hit-lru-scorer, Type: no-hit-lru-scorer} {Name: max-score-picker, Type: max-score-picker} {Name: metrics-data-source, Type: metrics-data-source, Parameters: {\"scheme\":\"https\"}} {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: core-metrics-extractor, Type: core-metrics-extractor}], SchedulingProfiles: [{Name: default, Plugins: [{PluginRef: queue-scorer, Weight: 2.00} {PluginRef: kv-cache-utilization-scorer, Weight: 2.00} {PluginRef: prefix-cache-scorer, Weight: 3.00} {PluginRef: no-hit-lru-scorer, Weight: 2.00} {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":1785259752.902428,"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":1785259752.9024823,"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":1785259752.902503,"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":1785259752.9025319,"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":1785259752.902623,"caller":"runner/runner.go:685","msg":"loaded configuration from file/text successfully"} [e2e-llm-inference-service] {"level":"info","ts":1785259752.9026318,"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, kv-cache-utilization-scorer/kv-cache-utilization-scorer: 2.000000, prefix-cache-scorer/prefix-cache-scorer: 3.000000, no-hit-lru-scorer/no-hit-lru-scorer: 2.000000], Picker: max-score-picker/max-score-picker}]} SaturationDetector:0xc0006fa540 DataConfig:{Sources:[{Plugin:0xc000312e10 Extractors:[0xc0006fa780]}]} FlowControlConfig: ParserRegistry:0xc0006fb000}"} [e2e-llm-inference-service] {"level":"info","ts":1785259752.927149,"logger":"setup","caller":"runner/runner.go:352","msg":"Setting pprof handlers"} [e2e-llm-inference-service] {"level":"info","ts":1785259752.9271886,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/symbol"} [e2e-llm-inference-service] {"level":"info","ts":1785259752.927209,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/heap"} [e2e-llm-inference-service] {"level":"info","ts":1785259752.9272141,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/allocs"} [e2e-llm-inference-service] {"level":"info","ts":1785259752.9272184,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/block"} [e2e-llm-inference-service] {"level":"info","ts":1785259752.9272227,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/trace"} [e2e-llm-inference-service] {"level":"info","ts":1785259752.9272277,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/goroutine"} [e2e-llm-inference-service] {"level":"info","ts":1785259752.927232,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/threadcreate"} [e2e-llm-inference-service] {"level":"info","ts":1785259752.927236,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/mutex"} [e2e-llm-inference-service] {"level":"info","ts":1785259752.9272408,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/"} [e2e-llm-inference-service] {"level":"info","ts":1785259752.9272454,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/cmdline"} [e2e-llm-inference-service] {"level":"info","ts":1785259752.9272497,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/profile"} [e2e-llm-inference-service] {"level":"info","ts":1785259752.9272566,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/plugins/state"} [e2e-llm-inference-service] {"level":"info","ts":1785259752.9272609,"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, kv-cache-utilization-scorer/kv-cache-utilization-scorer: 2.000000, prefix-cache-scorer/prefix-cache-scorer: 3.000000, no-hit-lru-scorer/no-hit-lru-scorer: 2.000000], Picker: max-score-picker/max-score-picker}]}"} [e2e-llm-inference-service] {"level":"info","ts":1785259752.9272993,"logger":"setup","caller":"datalayer/runtime.go:99","msg":"Configuring datalayer runtime","numSources":1} [e2e-llm-inference-service] {"level":"info","ts":1785259752.9273083,"logger":"setup","caller":"datalayer/runtime.go:118","msg":"Processing source","source":"metrics-data-source","numExtractors":1} [e2e-llm-inference-service] {"level":"info","ts":1785259752.927323,"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":1785259752.927335,"logger":"setup","caller":"datalayer/runtime.go:206","msg":"Datalayer runtime configured","pollers":1,"notifiers":0,"endpointSources":0} [e2e-llm-inference-service] {"level":"info","ts":1785259752.9273515,"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":1785259752.9274569,"logger":"setup","caller":"runner/runner.go:721","msg":"ExtProc server runner added to manager."} [e2e-llm-inference-service] {"level":"info","ts":1785259752.9274712,"logger":"setup","caller":"runner/runner.go:260","msg":"Controller manager starting"} [e2e-llm-inference-service] {"level":"info","ts":1785259752.9274986,"logger":"controller-runtime.metrics","caller":"server/server.go:208","msg":"Starting metrics server"} [e2e-llm-inference-service] {"level":"info","ts":1785259752.9276896,"caller":"runnable/grpc.go:35","msg":"gRPC server starting","name":"health"} [e2e-llm-inference-service] {"level":"info","ts":1785259752.927969,"caller":"runnable/grpc.go:43","msg":"gRPC server listening","name":"health","port":9003} [e2e-llm-inference-service] {"level":"info","ts":1785259752.928064,"logger":"controller-runtime.metrics","caller":"server/server.go:247","msg":"Serving metrics server","bindAddress":":9090","secure":false} [e2e-llm-inference-service] {"level":"info","ts":1785259752.9282796,"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":1785259752.9283645,"caller":"controller/controller.go:370","msg":"Starting EventSource","controller":"inferenceobjective","controllerGroup":"llm-d.ai","controllerKind":"InferenceObjective","source":"kind source: *v1alpha2.InferenceObjective"} [e2e-llm-inference-service] {"level":"info","ts":1785259752.9284415,"caller":"controller/controller.go:370","msg":"Starting EventSource","controller":"inferencemodelrewrite","controllerGroup":"llm-d.ai","controllerKind":"InferenceModelRewrite","source":"kind source: *v1alpha2.InferenceModelRewrite"} [e2e-llm-inference-service] {"level":"info","ts":1785259752.92865,"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":1785259752.929043,"caller":"runnable/grpc.go:35","msg":"gRPC server starting","name":"ext-proc"} [e2e-llm-inference-service] {"level":"info","ts":1785259752.929156,"caller":"runnable/grpc.go:43","msg":"gRPC server listening","name":"ext-proc","port":9002} [e2e-llm-inference-service] {"level":"info","ts":1785259752.9357781,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1alpha2.InferenceObjective","reflector":"go/pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1785259752.9358647,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1.InferencePool","reflector":"go/pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1785259752.9361966,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1.Pod","reflector":"go/pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1785259752.937263,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1alpha2.InferenceModelRewrite","reflector":"go/pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1785259753.029136,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"inferenceobjective","controllerGroup":"llm-d.ai","controllerKind":"InferenceObjective"} [e2e-llm-inference-service] {"level":"info","ts":1785259753.0291765,"caller":"controller/controller.go:306","msg":"Starting workers","controller":"inferenceobjective","controllerGroup":"llm-d.ai","controllerKind":"InferenceObjective","worker count":1} [e2e-llm-inference-service] {"level":"info","ts":1785259753.029173,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"inferencemodelrewrite","controllerGroup":"llm-d.ai","controllerKind":"InferenceModelRewrite"} [e2e-llm-inference-service] {"level":"info","ts":1785259753.0291944,"caller":"controller/controller.go:306","msg":"Starting workers","controller":"inferencemodelrewrite","controllerGroup":"llm-d.ai","controllerKind":"InferenceModelRewrite","worker count":1} [e2e-llm-inference-service] {"level":"info","ts":1785259753.12913,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"inferencepool","controllerGroup":"inference.networking.k8s.io","controllerKind":"InferencePool"} [e2e-llm-inference-service] {"level":"info","ts":1785259753.12957,"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":1785259753.129747,"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":"e2e-test-llm-inference-service-63a03ef4"},"namespace":"e2e-test-llm-inference-service-63a03ef4","name":"llmisvc-model-fb-opt-125m-route-dc21cb14-inference-pool","reconcileID":"02ac16e3-4c8a-4163-a6d3-e034e7facccb"} [e2e-llm-inference-service] {"level":"info","ts":1785259753.1300673,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"pod","controllerGroup":"","controllerKind":"Pod"} [e2e-llm-inference-service] {"level":"info","ts":1785259753.1300898,"caller":"controller/controller.go:306","msg":"Starting workers","controller":"pod","controllerGroup":"","controllerKind":"Pod","worker count":1} [e2e-llm-inference-service] {"level":"info","ts":1785259774.1209435,"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":"e2e-test-llm-inference-service-63a03ef4"},"namespace":"e2e-test-llm-inference-service-63a03ef4","name":"llmisvc-model-fb-opt-125m-route-dc21cb14-inference-pool","reconcileID":"c5712665-f2c7-4a76-a314-0cc50aacfb6a"} [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-epp-service [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-63a03ef4 [e2e-llm-inference-service] uid: 7ff1641d-c494-4c60-ba04-da4348c4e134 [e2e-llm-inference-service] resourceVersion: '27862' [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:29:12Z' [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-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: '2026-07-28T17:29:43Z' [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: '2026-07-28T17:29:43Z' [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] - addresses: [e2e-llm-inference-service] - ip: 10.133.0.44 [e2e-llm-inference-service] nodeName: ip-10-0-138-42.ec2.internal [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-63a03ef4 [e2e-llm-inference-service] name: llmisvc32fd5468e8138ec3cd54cf7b9c18cfb0-kserve-router-schendz4x [e2e-llm-inference-service] uid: 93949973-850f-4b96-a166-aa66826374f1 [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-workload-svc [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-63a03ef4 [e2e-llm-inference-service] uid: e72fc206-0390-425d-a7a4-b28833e253cd [e2e-llm-inference-service] resourceVersion: '27402' [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:29:11Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-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: '2026-07-28T17:29:12Z' [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: '2026-07-28T17:29:13Z' [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: 10.132.0.31 [e2e-llm-inference-service] nodeName: ip-10-0-133-48.ec2.internal [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-63a03ef4 [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn-0 [e2e-llm-inference-service] uid: 3fba548a-4fb3-42f2-813d-10481ddf25f2 [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 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: e2e-test-llm-inference-service-63a03ef4 [e2e-llm-inference-service] uid: 3fba548a-4fb3-42f2-813d-10481ddf25f2 [e2e-llm-inference-service] resourceVersion: '27400' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:29:12Z' [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-5ff87447b8 [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: ec95b01b5132ca1955e6d260218442b007b43692 [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: 55cfbd9c6b [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":["10.132.0.31/23"],"mac_address":"0a:58:0a:84:00:1f","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":"10.132.0.31/23","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 \"10.132.0.31\"\n ],\n\ [e2e-llm-inference-service] \ \"mac\": \"0a:58:0a:84:00:1f\",\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: f40a3e17-2d7b-4b18-9f9f-228632a5b7b2 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: ip-10-0-133-48 [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-28T17:29:12Z' [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: '2026-07-28T17:29:12Z' [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: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":"f40a3e17-2d7b-4b18-9f9f-228632a5b7b2"}: {} [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] k:{"name":"TOKIO_WORKER_THREADS"}: [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: '2026-07-28T17:29:12Z' [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: '2026-07-28T17:29:13Z' [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":"10.132.0.31"}: [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: 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-czkkt [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@sha256:3049312fa55515cbc94d5484b2c3ba6994735bde07ec862ad9b359b89e6c0af0 [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.e2e-test-llm-inference-service-63a03ef4 [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: TOKIO_WORKER_THREADS [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-czkkt [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: 1000790000 [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: vllm/vllm-openai-cpu: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.e2e-test-llm-inference-service-63a03ef4 [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-czkkt [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: 1000790000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: false [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-10-0-133-48.ec2.internal [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] seLinuxOptions: [e2e-llm-inference-service] level: s0:c28,c17 [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-kspkc [e2e-llm-inference-service] - name: llmisvc-model-fb-opt-125m-route-dc21cb-57cf7736-dockercfg-nvxm6 [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: '2026-07-28T17:29:13Z' [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: '2026-07-28T17:29:12Z' [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: '2026-07-28T17:29:12Z' [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: '2026-07-28T17:29:12Z' [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: '2026-07-28T17:29:12Z' [e2e-llm-inference-service] hostIP: 10.0.133.48 [e2e-llm-inference-service] hostIPs: [e2e-llm-inference-service] - ip: 10.0.133.48 [e2e-llm-inference-service] podIP: 10.132.0.31 [e2e-llm-inference-service] podIPs: [e2e-llm-inference-service] - ip: 10.132.0.31 [e2e-llm-inference-service] startTime: '2026-07-28T17:29:12Z' [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: '2026-07-28T17:29:12Z' [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@sha256:3049312fa55515cbc94d5484b2c3ba6994735bde07ec862ad9b359b89e6c0af0 [e2e-llm-inference-service] imageID: quay.io/opendatahub/kserve-storage-initializer@sha256:3049312fa55515cbc94d5484b2c3ba6994735bde07ec862ad9b359b89e6c0af0 [e2e-llm-inference-service] containerID: cri-o://cca6a5d366511502551e1dca2bc40a1a897ea8486dd4e396503d9c8eb4200417 [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-czkkt [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: 1000790000 [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: vllm/vllm-openai-cpu: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-czkkt [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 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: e2e-test-llm-inference-service-63a03ef4 [e2e-llm-inference-service] uid: 59500c69-8da2-4fe6-ba34-936a7cf8e61d [e2e-llm-inference-service] resourceVersion: '27497' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:29:12Z' [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-0-6f94bcb484 [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/group-index: '0' [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/group-key: ec95b01b5132ca1955e6d260218442b007b43692 [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: 55cfbd9c6b [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":["10.134.0.36/23"],"mac_address":"0a:58:0a:86:00:24","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":"10.134.0.36/23","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 \"10.134.0.36\"\n ],\n\ [e2e-llm-inference-service] \ \"mac\": \"0a:58:0a:86:00:24\",\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: e5b8626c-2586-4df1-8cb7-0604d8ac97f7 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: ip-10-0-130-0 [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-28T17:29:12Z' [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: '2026-07-28T17:29:12Z' [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: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":"e5b8626c-2586-4df1-8cb7-0604d8ac97f7"}: {} [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] k:{"name":"TOKIO_WORKER_THREADS"}: [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: '2026-07-28T17:29:12Z' [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: '2026-07-28T17:29:17Z' [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: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":"10.134.0.36"}: [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-8fl2l [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@sha256:3049312fa55515cbc94d5484b2c3ba6994735bde07ec862ad9b359b89e6c0af0 [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.e2e-test-llm-inference-service-63a03ef4 [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: TOKIO_WORKER_THREADS [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-8fl2l [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: 1000790000 [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: vllm/vllm-openai-cpu: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.e2e-test-llm-inference-service-63a03ef4 [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-8fl2l [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: 1000790000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: false [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-10-0-130-0.ec2.internal [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] seLinuxOptions: [e2e-llm-inference-service] level: s0:c28,c17 [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-kspkc [e2e-llm-inference-service] - name: llmisvc-model-fb-opt-125m-route-dc21cb-57cf7736-dockercfg-nvxm6 [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: 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: '2026-07-28T17:29:17Z' [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: '2026-07-28T17:29:12Z' [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: '2026-07-28T17:29:12Z' [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: '2026-07-28T17:29:12Z' [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: '2026-07-28T17:29:12Z' [e2e-llm-inference-service] hostIP: 10.0.130.0 [e2e-llm-inference-service] hostIPs: [e2e-llm-inference-service] - ip: 10.0.130.0 [e2e-llm-inference-service] podIP: 10.134.0.36 [e2e-llm-inference-service] podIPs: [e2e-llm-inference-service] - ip: 10.134.0.36 [e2e-llm-inference-service] startTime: '2026-07-28T17:29:12Z' [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: '2026-07-28T17:29:17Z' [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@sha256:3049312fa55515cbc94d5484b2c3ba6994735bde07ec862ad9b359b89e6c0af0 [e2e-llm-inference-service] imageID: quay.io/opendatahub/kserve-storage-initializer@sha256:3049312fa55515cbc94d5484b2c3ba6994735bde07ec862ad9b359b89e6c0af0 [e2e-llm-inference-service] containerID: cri-o://07fb848e35958443ac170b1c23269b05736b67caacb87d7df26cdffd31cf3931 [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-8fl2l [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: 1000790000 [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: vllm/vllm-openai-cpu: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-8fl2l [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc32fd5468e8138ec3cd54cf7b9c18cfb0-kserve-router-schendz4x [e2e-llm-inference-service] generateName: llmisvc32fd5468e8138ec3cd54cf7b9c18cfb0-kserve-router-scheduler-76c75dfb86- [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-63a03ef4 [e2e-llm-inference-service] uid: 93949973-850f-4b96-a166-aa66826374f1 [e2e-llm-inference-service] resourceVersion: '27861' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:29:12Z' [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-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 76c75dfb86 [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] app.kubernetes.io/version: 0.10.0 [e2e-llm-inference-service] certificates.kserve.io/expiration-v2: 'true' [e2e-llm-inference-service] k8s.ovn.org/pod-networks: '{"default":{"ip_addresses":["10.133.0.44/23"],"mac_address":"0a:58:0a:85:00:2c","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":"10.133.0.44/23","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 \"10.133.0.44\"\n ],\n\ [e2e-llm-inference-service] \ \"mac\": \"0a:58:0a:85:00:2c\",\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-76c75dfb86 [e2e-llm-inference-service] uid: bf38fb9b-ac1c-45c2-a078-f14f44579ca9 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: ip-10-0-138-42 [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-28T17:29:12Z' [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: '2026-07-28T17:29:12Z' [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":"bf38fb9b-ac1c-45c2-a078-f14f44579ca9"}: {} [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: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: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] 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] - manager: multus-daemon [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-28T17:29:12Z' [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: '2026-07-28T17:29:43Z' [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: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":"10.133.0.44"}: [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: kube-api-access-bcrb7 [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: quay.io/opendatahub/odh-llm-d-router-endpoint-picker:v0.9.0 [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] - e2e-test-llm-inference-service-63a03ef4 [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] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --config-text [e2e-llm-inference-service] - "apiVersion: llm-d.ai/v1alpha1\nkind: EndpointPickerConfig\nplugins:\n- type:\ [e2e-llm-inference-service] \ single-profile-handler\n- type: queue-scorer\n- type: kv-cache-utilization-scorer\n\ [e2e-llm-inference-service] - type: prefix-cache-scorer\n- type: no-hit-lru-scorer\n- type: max-score-picker\n\ [e2e-llm-inference-service] - parameters:\n scheme: https\n type: metrics-data-source\nschedulingProfiles:\n\ [e2e-llm-inference-service] - name: default\n plugins:\n - pluginRef: queue-scorer\n weight: 2\n -\ [e2e-llm-inference-service] \ pluginRef: kv-cache-utilization-scorer\n weight: 2\n - pluginRef: prefix-cache-scorer\n\ [e2e-llm-inference-service] \ weight: 3\n - pluginRef: no-hit-lru-scorer\n weight: 2\n - pluginRef:\ [e2e-llm-inference-service] \ 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] limits: [e2e-llm-inference-service] cpu: '6' [e2e-llm-inference-service] memory: 16Gi [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: kube-api-access-bcrb7 [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: 1000790000 [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-10-0-138-42.ec2.internal [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] seLinuxOptions: [e2e-llm-inference-service] level: s0:c28,c17 [e2e-llm-inference-service] fsGroup: 1000790000 [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-kspkc [e2e-llm-inference-service] - name: llmisvc-model-fb-opt-125m-route-dc21cb14-epp-sa-dockercfg-lsnvs [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: '2026-07-28T17:29:12Z' [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: '2026-07-28T17:29:12Z' [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: '2026-07-28T17:29:43Z' [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: '2026-07-28T17:29:43Z' [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: '2026-07-28T17:29:12Z' [e2e-llm-inference-service] hostIP: 10.0.138.42 [e2e-llm-inference-service] hostIPs: [e2e-llm-inference-service] - ip: 10.0.138.42 [e2e-llm-inference-service] podIP: 10.133.0.44 [e2e-llm-inference-service] podIPs: [e2e-llm-inference-service] - ip: 10.133.0.44 [e2e-llm-inference-service] startTime: '2026-07-28T17:29:12Z' [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: '2026-07-28T17:29:12Z' [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/odh-llm-d-router-endpoint-picker:v0.9.0 [e2e-llm-inference-service] imageID: quay.io/opendatahub/odh-llm-d-router-endpoint-picker@sha256:7fd1d61cb5505e026eebab0b9653758779c3dee241e37bea92a0bab961a48c50 [e2e-llm-inference-service] containerID: cri-o://525aa65b9750809452ef3b0c51e5115b01fc150096daa32f87be25bbedf3c352 [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] limits: [e2e-llm-inference-service] cpu: '6' [e2e-llm-inference-service] memory: 16Gi [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: kube-api-access-bcrb7 [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: 1000790000 [e2e-llm-inference-service] gid: 0 [e2e-llm-inference-service] supplementalGroups: [e2e-llm-inference-service] - 0 [e2e-llm-inference-service] - 1000790000 [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-epp-sa [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-63a03ef4 [e2e-llm-inference-service] uid: e11f3385-bb8d-4e74-822a-e80536e8a980 [e2e-llm-inference-service] resourceVersion: '27245' [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:29:11Z' [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-lsnvs [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: 01b7d611-2524-47c7-9ffa-49f8236719be [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: '2026-07-28T17:29:11Z' [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-lsnvs"}: {} [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-28T17:29:11Z' [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":"01b7d611-2524-47c7-9ffa-49f8236719be"}: {} [e2e-llm-inference-service] f:secrets: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"default-dockercfg-kspkc"}: {} [e2e-llm-inference-service] k:{"name":"seaweedfs-s3-creds"}: {} [e2e-llm-inference-service] secrets: [e2e-llm-inference-service] - name: seaweedfs-s3-creds [e2e-llm-inference-service] - name: default-dockercfg-kspkc [e2e-llm-inference-service] - name: llmisvc-model-fb-opt-125m-route-dc21cb14-epp-sa-dockercfg-lsnvs [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-kspkc [e2e-llm-inference-service] - name: llmisvc-model-fb-opt-125m-route-dc21cb14-epp-sa-dockercfg-lsnvs [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: ServiceAccount [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-63a03ef4 [e2e-llm-inference-service] uid: d513bed1-fb57-476c-89d3-552cae34e1b4 [e2e-llm-inference-service] resourceVersion: '27229' [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:29:11Z' [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-nvxm6 [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: 01b7d611-2524-47c7-9ffa-49f8236719be [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: '2026-07-28T17:29:11Z' [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-nvxm6"}: {} [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-28T17:29:11Z' [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/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":"01b7d611-2524-47c7-9ffa-49f8236719be"}: {} [e2e-llm-inference-service] f:secrets: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"default-dockercfg-kspkc"}: {} [e2e-llm-inference-service] k:{"name":"seaweedfs-s3-creds"}: {} [e2e-llm-inference-service] secrets: [e2e-llm-inference-service] - name: seaweedfs-s3-creds [e2e-llm-inference-service] - name: default-dockercfg-kspkc [e2e-llm-inference-service] - name: llmisvc-model-fb-opt-125m-route-dc21cb-57cf7736-dockercfg-nvxm6 [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-kspkc [e2e-llm-inference-service] - name: llmisvc-model-fb-opt-125m-route-dc21cb-57cf7736-dockercfg-nvxm6 [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: ServiceAccount [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-epp-service [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-63a03ef4 [e2e-llm-inference-service] uid: 5a71af39-331f-4ae9-8219-4c9acf65d38e [e2e-llm-inference-service] resourceVersion: '27293' [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:29:12Z' [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-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: 01b7d611-2524-47c7-9ffa-49f8236719be [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: '2026-07-28T17:29:12Z' [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":"01b7d611-2524-47c7-9ffa-49f8236719be"}: {} [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: 172.31.80.142 [e2e-llm-inference-service] clusterIPs: [e2e-llm-inference-service] - 172.31.80.142 [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-workload-svc [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-63a03ef4 [e2e-llm-inference-service] uid: 19a99927-f918-411f-a33e-274d664a74a8 [e2e-llm-inference-service] resourceVersion: '27240' [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:29:11Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-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: 01b7d611-2524-47c7-9ffa-49f8236719be [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: '2026-07-28T17:29:11Z' [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":"01b7d611-2524-47c7-9ffa-49f8236719be"}: {} [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: 172.31.9.34 [e2e-llm-inference-service] clusterIPs: [e2e-llm-inference-service] - 172.31.9.34 [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn-0-6f94bcb484 [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-63a03ef4 [e2e-llm-inference-service] uid: b58220ac-6bb4-470d-9002-d03f4a76d6dd [e2e-llm-inference-service] resourceVersion: '27271' [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:29:12Z' [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: 6f94bcb484 [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/group-index: '0' [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/group-key: ec95b01b5132ca1955e6d260218442b007b43692 [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: 55cfbd9c6b [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: e5b8626c-2586-4df1-8cb7-0604d8ac97f7 [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: '2026-07-28T17:29:12Z' [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":"e5b8626c-2586-4df1-8cb7-0604d8ac97f7"}: {} [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: ec95b01b5132ca1955e6d260218442b007b43692 [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: 55cfbd9c6b [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: vllm/vllm-openai-cpu: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: false [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: TOKIO_WORKER_THREADS [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] 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@sha256:3049312fa55515cbc94d5484b2c3ba6994735bde07ec862ad9b359b89e6c0af0 [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn-5ff87447b8 [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-63a03ef4 [e2e-llm-inference-service] uid: 31d9dc3e-046f-47f8-9bc4-6d0316865992 [e2e-llm-inference-service] resourceVersion: '27256' [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:29:12Z' [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: 5ff87447b8 [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: 55cfbd9c6b [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: f40a3e17-2d7b-4b18-9f9f-228632a5b7b2 [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: '2026-07-28T17:29:12Z' [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":"f40a3e17-2d7b-4b18-9f9f-228632a5b7b2"}: {} [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: 55cfbd9c6b [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: vllm/vllm-openai-cpu: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: false [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: TOKIO_WORKER_THREADS [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] 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@sha256:3049312fa55515cbc94d5484b2c3ba6994735bde07ec862ad9b359b89e6c0af0 [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc32fd5468e8138ec3cd54cf7b9c18cfb0-kserve-router-scheduler [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-63a03ef4 [e2e-llm-inference-service] uid: aafec472-ddd3-4cba-abbf-30ee385ef526 [e2e-llm-inference-service] resourceVersion: '27865' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:29:12Z' [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-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: 01b7d611-2524-47c7-9ffa-49f8236719be [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: '2026-07-28T17:29:12Z' [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":"01b7d611-2524-47c7-9ffa-49f8236719be"}: {} [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: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: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] 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] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-28T17:29:43Z' [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: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: 0.10.0 [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] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: quay.io/opendatahub/odh-llm-d-router-endpoint-picker:v0.9.0 [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] - e2e-test-llm-inference-service-63a03ef4 [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] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --config-text [e2e-llm-inference-service] - "apiVersion: llm-d.ai/v1alpha1\nkind: EndpointPickerConfig\nplugins:\n-\ [e2e-llm-inference-service] \ type: single-profile-handler\n- type: queue-scorer\n- type: kv-cache-utilization-scorer\n\ [e2e-llm-inference-service] - type: prefix-cache-scorer\n- type: no-hit-lru-scorer\n- type: max-score-picker\n\ [e2e-llm-inference-service] - parameters:\n scheme: https\n type: metrics-data-source\nschedulingProfiles:\n\ [e2e-llm-inference-service] - name: default\n plugins:\n - pluginRef: queue-scorer\n weight: 2\n\ [e2e-llm-inference-service] \ - pluginRef: kv-cache-utilization-scorer\n weight: 2\n - pluginRef:\ [e2e-llm-inference-service] \ prefix-cache-scorer\n weight: 3\n - pluginRef: no-hit-lru-scorer\n\ [e2e-llm-inference-service] \ weight: 2\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] limits: [e2e-llm-inference-service] cpu: '6' [e2e-llm-inference-service] memory: 16Gi [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] 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: '2026-07-28T17:29:43Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-28T17:29:43Z' [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: '2026-07-28T17:29:43Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-28T17:29:12Z' [e2e-llm-inference-service] reason: NewReplicaSetAvailable [e2e-llm-inference-service] message: ReplicaSet "llmisvc32fd5468e8138ec3cd54cf7b9c18cfb0-kserve-router-scheduler-76c75dfb86" [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc32fd5468e8138ec3cd54cf7b9c18cfb0-kserve-router-scheduler-76c75dfb86 [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-63a03ef4 [e2e-llm-inference-service] uid: bf38fb9b-ac1c-45c2-a078-f14f44579ca9 [e2e-llm-inference-service] resourceVersion: '27864' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:29:12Z' [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-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 76c75dfb86 [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: aafec472-ddd3-4cba-abbf-30ee385ef526 [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: '2026-07-28T17:29:12Z' [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":"aafec472-ddd3-4cba-abbf-30ee385ef526"}: {} [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: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: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] 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] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-28T17:29:43Z' [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: 76c75dfb86 [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: 76c75dfb86 [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] app.kubernetes.io/version: 0.10.0 [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] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: quay.io/opendatahub/odh-llm-d-router-endpoint-picker:v0.9.0 [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] - e2e-test-llm-inference-service-63a03ef4 [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] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --config-text [e2e-llm-inference-service] - "apiVersion: llm-d.ai/v1alpha1\nkind: EndpointPickerConfig\nplugins:\n-\ [e2e-llm-inference-service] \ type: single-profile-handler\n- type: queue-scorer\n- type: kv-cache-utilization-scorer\n\ [e2e-llm-inference-service] - type: prefix-cache-scorer\n- type: no-hit-lru-scorer\n- type: max-score-picker\n\ [e2e-llm-inference-service] - parameters:\n scheme: https\n type: metrics-data-source\nschedulingProfiles:\n\ [e2e-llm-inference-service] - name: default\n plugins:\n - pluginRef: queue-scorer\n weight: 2\n\ [e2e-llm-inference-service] \ - pluginRef: kv-cache-utilization-scorer\n weight: 2\n - pluginRef:\ [e2e-llm-inference-service] \ prefix-cache-scorer\n weight: 3\n - pluginRef: no-hit-lru-scorer\n\ [e2e-llm-inference-service] \ weight: 2\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] limits: [e2e-llm-inference-service] cpu: '6' [e2e-llm-inference-service] memory: 16Gi [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] 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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-epp-rb [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-63a03ef4 [e2e-llm-inference-service] uid: f1e6872b-680a-4687-9e42-5fec7c861365 [e2e-llm-inference-service] resourceVersion: '27282' [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:29:12Z' [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-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: 01b7d611-2524-47c7-9ffa-49f8236719be [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: '2026-07-28T17:29:12Z' [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":"01b7d611-2524-47c7-9ffa-49f8236719be"}: {} [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: e2e-test-llm-inference-service-63a03ef4 [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn-scc [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-63a03ef4 [e2e-llm-inference-service] uid: 1c17755a-4b0e-472f-920d-16bf72557771 [e2e-llm-inference-service] resourceVersion: '27224' [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:29:11Z' [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: 01b7d611-2524-47c7-9ffa-49f8236719be [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: '2026-07-28T17:29:11Z' [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/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":"01b7d611-2524-47c7-9ffa-49f8236719be"}: {} [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-epp-role [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-63a03ef4 [e2e-llm-inference-service] uid: 766a7092-c65e-465b-a9af-bd4e9e6b92ea [e2e-llm-inference-service] resourceVersion: '27261' [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:29:12Z' [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-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: 01b7d611-2524-47c7-9ffa-49f8236719be [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: '2026-07-28T17:29:11Z' [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":"01b7d611-2524-47c7-9ffa-49f8236719be"}: {} [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] - llm-d.ai [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferenceobjectives [e2e-llm-inference-service] - inferencemodelrewrites [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-epp-service-zr896 [e2e-llm-inference-service] generateName: llmisvc-model-fb-opt-125m-route-dc21cb14-epp-service- [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-63a03ef4 [e2e-llm-inference-service] uid: 3b9b94f4-30f4-4c6d-bdef-ddb9dc707521 [e2e-llm-inference-service] resourceVersion: '27863' [e2e-llm-inference-service] generation: 3 [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:29:12Z' [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-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: '2026-07-28T17:29:43Z' [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: 5a71af39-331f-4ae9-8219-4c9acf65d38e [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: '2026-07-28T17:29:43Z' [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: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":"5a71af39-331f-4ae9-8219-4c9acf65d38e"}: {} [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] - 10.133.0.44 [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: e2e-test-llm-inference-service-63a03ef4 [e2e-llm-inference-service] name: llmisvc32fd5468e8138ec3cd54cf7b9c18cfb0-kserve-router-schendz4x [e2e-llm-inference-service] uid: 93949973-850f-4b96-a166-aa66826374f1 [e2e-llm-inference-service] nodeName: ip-10-0-138-42.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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-workload-sl6wsj [e2e-llm-inference-service] generateName: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-workload-svc- [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-63a03ef4 [e2e-llm-inference-service] uid: c325af98-3dd4-47fa-a309-f965c5b7a61a [e2e-llm-inference-service] resourceVersion: '27406' [e2e-llm-inference-service] generation: 2 [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:29:11Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-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: 19a99927-f918-411f-a33e-274d664a74a8 [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: '2026-07-28T17:29:13Z' [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":"19a99927-f918-411f-a33e-274d664a74a8"}: {} [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] - 10.132.0.31 [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: e2e-test-llm-inference-service-63a03ef4 [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn-0 [e2e-llm-inference-service] uid: 3fba548a-4fb3-42f2-813d-10481ddf25f2 [e2e-llm-inference-service] nodeName: ip-10-0-133-48.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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-epp-rb [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-63a03ef4 [e2e-llm-inference-service] uid: f1e6872b-680a-4687-9e42-5fec7c861365 [e2e-llm-inference-service] resourceVersion: '27282' [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:29:12Z' [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-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: 01b7d611-2524-47c7-9ffa-49f8236719be [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: '2026-07-28T17:29:12Z' [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":"01b7d611-2524-47c7-9ffa-49f8236719be"}: {} [e2e-llm-inference-service] f:roleRef: {} [e2e-llm-inference-service] f:subjects: {} [e2e-llm-inference-service] userNames: [e2e-llm-inference-service] - system:serviceaccount:e2e-test-llm-inference-service-63a03ef4: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: e2e-test-llm-inference-service-63a03ef4 [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-epp-sa [e2e-llm-inference-service] roleRef: [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-63a03ef4 [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn-scc [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-63a03ef4 [e2e-llm-inference-service] uid: 1c17755a-4b0e-472f-920d-16bf72557771 [e2e-llm-inference-service] resourceVersion: '27224' [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:29:11Z' [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: 01b7d611-2524-47c7-9ffa-49f8236719be [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: '2026-07-28T17:29:11Z' [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/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":"01b7d611-2524-47c7-9ffa-49f8236719be"}: {} [e2e-llm-inference-service] f:roleRef: {} [e2e-llm-inference-service] f:subjects: {} [e2e-llm-inference-service] userNames: [e2e-llm-inference-service] - system:serviceaccount:e2e-test-llm-inference-service-63a03ef4:llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn [e2e-llm-inference-service] - system:serviceaccount:e2e-test-llm-inference-service-63a03ef4: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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-epp-role [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-63a03ef4 [e2e-llm-inference-service] uid: 766a7092-c65e-465b-a9af-bd4e9e6b92ea [e2e-llm-inference-service] resourceVersion: '27261' [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:29:12Z' [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-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: 01b7d611-2524-47c7-9ffa-49f8236719be [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: '2026-07-28T17:29:11Z' [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":"01b7d611-2524-47c7-9ffa-49f8236719be"}: {} [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] - llm-d.ai [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencemodelrewrites [e2e-llm-inference-service] - inferenceobjectives [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 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: '2026-07-28T17:29:12Z' [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-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":"01b7d611-2524-47c7-9ffa-49f8236719be"}: {} [e2e-llm-inference-service] f:spec: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-28T17:29:34Z' [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: '2026-07-28T17:29:34Z' [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: '2026-07-28T17:29:34Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-route [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-63a03ef4 [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: 01b7d611-2524-47c7-9ffa-49f8236719be [e2e-llm-inference-service] resourceVersion: '27727' [e2e-llm-inference-service] uid: e6014e8b-ce66-4d69-a963-822d90e62130 [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: /e2e-test-llm-inference-service-63a03ef4/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] 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: /e2e-test-llm-inference-service-63a03ef4/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] 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: /e2e-test-llm-inference-service-63a03ef4/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] 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: /e2e-test-llm-inference-service-63a03ef4/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/e2e-test-llm-inference-service-63a03ef4/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/e2e-test-llm-inference-service-63a03ef4/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/e2e-test-llm-inference-service-63a03ef4/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/e2e-test-llm-inference-service-63a03ef4/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/e2e-test-llm-inference-service-63a03ef4/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/e2e-test-llm-inference-service-63a03ef4/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/e2e-test-llm-inference-service-63a03ef4/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/e2e-test-llm-inference-service-63a03ef4/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: 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: /publishers/e2e-test-llm-inference-service-63a03ef4/models/facebook/opt-125m/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: /publishers/e2e-test-llm-inference-service-63a03ef4/models/facebook/opt-125m/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: /publishers/e2e-test-llm-inference-service-63a03ef4/models/facebook/opt-125m/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: /publishers/e2e-test-llm-inference-service-63a03ef4/models/facebook/opt-125m/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: /publishers/e2e-test-llm-inference-service-63a03ef4/models/facebook/opt-125m [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: /e2e-test-llm-inference-service-63a03ef4/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/e2e-test-llm-inference-service-63a03ef4/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: '2026-07-28T17:29:12Z' [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: '2026-07-28T17:29:34Z' [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: '2026-07-28T17:29:13Z' [e2e-llm-inference-service] message: Object affected by AuthPolicy [e2e-test-llm-inference-service-63a03ef4/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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 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: '2026-07-28T17:29:12Z' [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-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":"01b7d611-2524-47c7-9ffa-49f8236719be"}: {} [e2e-llm-inference-service] f:spec: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-28T17:29:34Z' [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: '2026-07-28T17:29:34Z' [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: '2026-07-28T17:29:34Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-route [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-63a03ef4 [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: 01b7d611-2524-47c7-9ffa-49f8236719be [e2e-llm-inference-service] resourceVersion: '27727' [e2e-llm-inference-service] uid: e6014e8b-ce66-4d69-a963-822d90e62130 [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: /e2e-test-llm-inference-service-63a03ef4/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] 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: /e2e-test-llm-inference-service-63a03ef4/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] 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: /e2e-test-llm-inference-service-63a03ef4/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] 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: /e2e-test-llm-inference-service-63a03ef4/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/e2e-test-llm-inference-service-63a03ef4/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/e2e-test-llm-inference-service-63a03ef4/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/e2e-test-llm-inference-service-63a03ef4/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/e2e-test-llm-inference-service-63a03ef4/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/e2e-test-llm-inference-service-63a03ef4/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/e2e-test-llm-inference-service-63a03ef4/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/e2e-test-llm-inference-service-63a03ef4/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/e2e-test-llm-inference-service-63a03ef4/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: 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: /publishers/e2e-test-llm-inference-service-63a03ef4/models/facebook/opt-125m/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: /publishers/e2e-test-llm-inference-service-63a03ef4/models/facebook/opt-125m/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: /publishers/e2e-test-llm-inference-service-63a03ef4/models/facebook/opt-125m/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: /publishers/e2e-test-llm-inference-service-63a03ef4/models/facebook/opt-125m/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: /publishers/e2e-test-llm-inference-service-63a03ef4/models/facebook/opt-125m [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: /e2e-test-llm-inference-service-63a03ef4/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/e2e-test-llm-inference-service-63a03ef4/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: '2026-07-28T17:29:12Z' [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: '2026-07-28T17:29:34Z' [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: '2026-07-28T17:29:13Z' [e2e-llm-inference-service] message: Object affected by AuthPolicy [e2e-test-llm-inference-service-63a03ef4/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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 apiVersion: inference.networking.k8s.io/v1 [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:29:12Z' [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-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":"01b7d611-2524-47c7-9ffa-49f8236719be"}: {} [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: '2026-07-28T17:29:12Z' [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: '2026-07-28T17:29:34Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-inference-pool [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-63a03ef4 [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: 01b7d611-2524-47c7-9ffa-49f8236719be [e2e-llm-inference-service] resourceVersion: '27706' [e2e-llm-inference-service] uid: 77afcc8f-fad8-4ba2-b0ea-44bf9bf788d3 [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: '2026-07-28T17:29:34Z' [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: '2026-07-28T17:29:34Z' [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 apiVersion: kuadrant.io/v1 [e2e-llm-inference-service] kind: AuthPolicy [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:29:13Z' [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":"01b7d611-2524-47c7-9ffa-49f8236719be"}: {} [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: '2026-07-28T17:29:13Z' [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: '2026-07-28T17:29:15Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-route-authn [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-63a03ef4 [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: 01b7d611-2524-47c7-9ffa-49f8236719be [e2e-llm-inference-service] resourceVersion: '27472' [e2e-llm-inference-service] uid: 0d2d7715-faab-4d7c-84de-07cff9bc415e [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: '2026-07-28T17:29:14Z' [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: '2026-07-28T17:29:15Z' [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 apiVersion: leaderworkerset.x-k8s.io/v1 [e2e-llm-inference-service] kind: LeaderWorkerSet [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:29:11Z' [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: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":"01b7d611-2524-47c7-9ffa-49f8236719be"}: {} [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] k:{"name":"TOKIO_WORKER_THREADS"}: [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] k:{"name":"TOKIO_WORKER_THREADS"}: [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: '2026-07-28T17:29:11Z' [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: '2026-07-28T17:29:12Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-mn [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-63a03ef4 [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: 01b7d611-2524-47c7-9ffa-49f8236719be [e2e-llm-inference-service] resourceVersion: '27277' [e2e-llm-inference-service] uid: 19c6ce9f-0598-44fe-8bd3-ed371f95269b [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: vllm/vllm-openai-cpu: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: false [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: TOKIO_WORKER_THREADS [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] 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@sha256:3049312fa55515cbc94d5484b2c3ba6994735bde07ec862ad9b359b89e6c0af0 [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: vllm/vllm-openai-cpu: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: false [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: TOKIO_WORKER_THREADS [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] 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@sha256:3049312fa55515cbc94d5484b2c3ba6994735bde07ec862ad9b359b89e6c0af0 [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: '2026-07-28T17:29:12Z' [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:29:12Z' [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-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":"01b7d611-2524-47c7-9ffa-49f8236719be"}: {} [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: '2026-07-28T17:29:12Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-scheduler [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-63a03ef4 [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: 01b7d611-2524-47c7-9ffa-49f8236719be [e2e-llm-inference-service] resourceVersion: '27339' [e2e-llm-inference-service] uid: f9a58915-bb5f-4575-8fda-4d2960603c70 [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.e2e-test-llm-inference-service-63a03ef4.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.e2e-test-llm-inference-service-63a03ef4.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:29:34Z' [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":"01b7d611-2524-47c7-9ffa-49f8236719be"}: {} [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: '2026-07-28T17:29:34Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-shadow-svc [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-63a03ef4 [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: 01b7d611-2524-47c7-9ffa-49f8236719be [e2e-llm-inference-service] resourceVersion: '27720' [e2e-llm-inference-service] uid: 5c091427-0f9e-437d-a879-29a4aefbad82 [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.e2e-test-llm-inference-service-63a03ef4.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.e2e-test-llm-inference-service-63a03ef4.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:29:13Z' [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-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":"01b7d611-2524-47c7-9ffa-49f8236719be"}: {} [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: '2026-07-28T17:29:13Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-workload-svc [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-63a03ef4 [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: 01b7d611-2524-47c7-9ffa-49f8236719be [e2e-llm-inference-service] resourceVersion: '27347' [e2e-llm-inference-service] uid: b18b2d96-8ffd-40cc-bd0b-e202d0736828 [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.e2e-test-llm-inference-service-63a03ef4.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.e2e-test-llm-inference-service-63a03ef4.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 apiVersion: networking.istio.io/v1beta1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:29:12Z' [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-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":"01b7d611-2524-47c7-9ffa-49f8236719be"}: {} [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: '2026-07-28T17:29:12Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-scheduler [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-63a03ef4 [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: 01b7d611-2524-47c7-9ffa-49f8236719be [e2e-llm-inference-service] resourceVersion: '27339' [e2e-llm-inference-service] uid: f9a58915-bb5f-4575-8fda-4d2960603c70 [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.e2e-test-llm-inference-service-63a03ef4.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.e2e-test-llm-inference-service-63a03ef4.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 apiVersion: networking.istio.io/v1beta1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:29:34Z' [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":"01b7d611-2524-47c7-9ffa-49f8236719be"}: {} [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: '2026-07-28T17:29:34Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-shadow-svc [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-63a03ef4 [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: 01b7d611-2524-47c7-9ffa-49f8236719be [e2e-llm-inference-service] resourceVersion: '27720' [e2e-llm-inference-service] uid: 5c091427-0f9e-437d-a879-29a4aefbad82 [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.e2e-test-llm-inference-service-63a03ef4.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.e2e-test-llm-inference-service-63a03ef4.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 apiVersion: networking.istio.io/v1beta1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:29:13Z' [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-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":"01b7d611-2524-47c7-9ffa-49f8236719be"}: {} [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: '2026-07-28T17:29:13Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-workload-svc [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-63a03ef4 [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: 01b7d611-2524-47c7-9ffa-49f8236719be [e2e-llm-inference-service] resourceVersion: '27347' [e2e-llm-inference-service] uid: b18b2d96-8ffd-40cc-bd0b-e202d0736828 [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.e2e-test-llm-inference-service-63a03ef4.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.e2e-test-llm-inference-service-63a03ef4.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 apiVersion: networking.istio.io/v1alpha3 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:29:12Z' [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-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":"01b7d611-2524-47c7-9ffa-49f8236719be"}: {} [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: '2026-07-28T17:29:12Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-scheduler [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-63a03ef4 [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: 01b7d611-2524-47c7-9ffa-49f8236719be [e2e-llm-inference-service] resourceVersion: '27339' [e2e-llm-inference-service] uid: f9a58915-bb5f-4575-8fda-4d2960603c70 [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.e2e-test-llm-inference-service-63a03ef4.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.e2e-test-llm-inference-service-63a03ef4.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 apiVersion: networking.istio.io/v1alpha3 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:29:34Z' [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":"01b7d611-2524-47c7-9ffa-49f8236719be"}: {} [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: '2026-07-28T17:29:34Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-shadow-svc [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-63a03ef4 [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: 01b7d611-2524-47c7-9ffa-49f8236719be [e2e-llm-inference-service] resourceVersion: '27720' [e2e-llm-inference-service] uid: 5c091427-0f9e-437d-a879-29a4aefbad82 [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.e2e-test-llm-inference-service-63a03ef4.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.e2e-test-llm-inference-service-63a03ef4.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 apiVersion: networking.istio.io/v1alpha3 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:29:13Z' [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-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":"01b7d611-2524-47c7-9ffa-49f8236719be"}: {} [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: '2026-07-28T17:29:13Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-kserve-workload-svc [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-63a03ef4 [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: 01b7d611-2524-47c7-9ffa-49f8236719be [e2e-llm-inference-service] resourceVersion: '27347' [e2e-llm-inference-service] uid: b18b2d96-8ffd-40cc-bd0b-e202d0736828 [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.e2e-test-llm-inference-service-63a03ef4.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.e2e-test-llm-inference-service-63a03ef4.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 apiVersion: inference.networking.x-k8s.io/v1alpha2 [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:29:12Z' [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-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":"01b7d611-2524-47c7-9ffa-49f8236719be"}: {} [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: '2026-07-28T17:29:12Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-route-dc21cb14-inference-pool [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-63a03ef4 [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: 01b7d611-2524-47c7-9ffa-49f8236719be [e2e-llm-inference-service] resourceVersion: '27303' [e2e-llm-inference-service] uid: 06a37d54-c773-42fb-a2ea-e8efe2619fe5 [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc32fd5468e8138ec3cd54cf7b9c18cfb0-kserve-router-schendz4x [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-63a03ef4 [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:43:49Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-route-dc21cb14 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 76c75dfb86 [e2e-llm-inference-service] timestamp: '2026-07-28T17:43:32Z' [e2e-llm-inference-service] window: 11.747s [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] usage: [e2e-llm-inference-service] cpu: 520643n [e2e-llm-inference-service] memory: 21436Ki [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] [2026-07-28T17:43:49.936981] end - ❌ 902.863s: Missing true conditions: {'WorkloadsReady', 'Ready'}, expected {'WorkloadsReady', 'RouterReady', 'Ready'}, got [{'lastTransitionTime': '2026-07-28T17:29:35Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-28T17:29:35Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T17:29:13Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T17:29:44Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T17:29:44Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T17:29:44Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T17:29:13Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'WorkerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T17:29:13Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] ---------------------------- Captured log teardown ----------------------------- [e2e-llm-inference-service] INFO e2e.llmisvc.conftest:conftest.py:168 Skipping deletion of namespace e2e-test-llm-inference-service-63a03ef4 (SKIP_DELETION_ON_FAILURE) [e2e-llm-inference-service] ___________ test_llm_auth_invalid_token_rejected[auth-invalid-token] ___________ [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-invalid-20a12e51'}]}, [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-invalid-token-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-invalid-token", [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_invalid_token_rejected(test_case: TestCase): # noqa: F811 [e2e-llm-inference-service] """ [e2e-llm-inference-service] Test that when auth is enabled: [e2e-llm-inference-service] - Requests with MALFORMED tokens are rejected [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] ns = test_case.llm_service.metadata.namespace [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:440: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] args = (, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kin...invali-efc9e473'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-auth-invalid-20a12e51'}]}, [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 = '2026-07-28T17:31:49.164182', start_time = 1785259909.1645894 [e2e-llm-inference-service] duration = 900.2581346035004, timestamp_end = '2026-07-28T17:46:49.422733' [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-invali-efc9e473'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-auth-invalid-20a12e51'}]}, [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] all_condition_types = 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] ctype = condition.get("type") [e2e-llm-inference-service] all_condition_types.add(ctype) [e2e-llm-inference-service] if condition.get("status") == "True": [e2e-llm-inference-service] got_true_conditions.add(ctype) [e2e-llm-inference-service] [e2e-llm-inference-service] # When TokenizerReady is present, it must also be True [e2e-llm-inference-service] if "TokenizerReady" in all_condition_types: [e2e-llm-inference-service] expected_true_conditions.add("TokenizerReady") [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:1376: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] assertion_fn = .assert_llm_isvc_ready at 0x7fa1481ab560> [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:1387: [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] all_condition_types = 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] ctype = condition.get("type") [e2e-llm-inference-service] all_condition_types.add(ctype) [e2e-llm-inference-service] if condition.get("status") == "True": [e2e-llm-inference-service] got_true_conditions.add(ctype) [e2e-llm-inference-service] [e2e-llm-inference-service] # When TokenizerReady is present, it must also be True [e2e-llm-inference-service] if "TokenizerReady" in all_condition_types: [e2e-llm-inference-service] expected_true_conditions.add("TokenizerReady") [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 {'RouterReady', 'Ready', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-28T17:32:24Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-28T17:32:24Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T17:32:24Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-28T17:32:07Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T17:32:24Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T17:32:39Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T17:32:39Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T17:32:24Z', '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:1371: AssertionError [e2e-llm-inference-service] ------------------------------ Captured log setup ------------------------------ [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1769 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.namespace:namespace.py:82 Created test namespace e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 [e2e-llm-inference-service] INFO e2e.llmisvc.namespace:namespace.py:131 Copied secret seaweedfs-s3-creds from kserve-ci-e2e-test to e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 [e2e-llm-inference-service] INFO e2e.llmisvc.namespace:namespace.py:131 Copied secret storage-config from kserve-ci-e2e-test to e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 [e2e-llm-inference-service] INFO e2e.llmisvc.namespace:namespace.py:178 Patched default SA in e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 with secret seaweedfs-s3-creds [e2e-llm-inference-service] INFO e2e.llmisvc.namespace:namespace.py:162 ConfigMap odh-kserve-custom-ca-bundle already exists in e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 [e2e-llm-inference-service] INFO e2e.llmisvc.namespace:namespace.py:159 Copied ConfigMap odh-trusted-ca-bundle from kserve-ci-e2e-test to e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1769 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1718 Checking LLMInferenceServiceConfig router-managed-auth-invalid-tok-7c58bb00 in namespace e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1744 Resource not found, creating LLMInferenceServiceConfig router-managed-auth-invalid-tok-7c58bb00 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1754 ✓ Successfully created LLMInferenceServiceConfig router-managed-auth-invalid-tok-7c58bb00 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1718 Checking LLMInferenceServiceConfig workload-single-cpu-auth-invali-efc9e473 in namespace e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1744 Resource not found, creating LLMInferenceServiceConfig workload-single-cpu-auth-invali-efc9e473 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1754 ✓ Successfully created LLMInferenceServiceConfig workload-single-cpu-auth-invali-efc9e473 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1718 Checking LLMInferenceServiceConfig model-fb-opt-125m-auth-invalid-20a12e51 in namespace e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1744 Resource not found, creating LLMInferenceServiceConfig model-fb-opt-125m-auth-invalid-20a12e51 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1754 ✓ Successfully created LLMInferenceServiceConfig model-fb-opt-125m-auth-invalid-20a12e51 [e2e-llm-inference-service] ------------------------------ Captured log call ------------------------------- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [test_llm_auth_invalid_token_rejected] [2026-07-28T17:31:48.994402] start - args=(), kwargs={'test_case': TestCase(base_refs=['router-managed', 'workload-single-cpu', 'model-fb-opt-125m'], prompt='KServe is a', service_name='auth-invalid-token-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, namespace='e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6', 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': 'auth-invalid-token-test', [e2e-llm-inference-service] 'namespace': 'e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6', [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-invalid-tok-7c58bb00'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-auth-invali-efc9e473'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-auth-invalid-20a12e51'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m')} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1769 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [create_llmisvc] [2026-07-28T17:31:49.007054] 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-invalid-token-test', [e2e-llm-inference-service] 'namespace': 'e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6', [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-invalid-tok-7c58bb00'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-auth-invali-efc9e473'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-auth-invalid-20a12e51'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [create_llmisvc] [2026-07-28T17:31:49.163962] end - ✅ in 0.157s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [wait_for_llm_isvc_ready] [2026-07-28T17:31:49.164182] 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-invalid-token-test', [e2e-llm-inference-service] 'namespace': 'e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6', [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-invalid-tok-7c58bb00'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-auth-invali-efc9e473'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-auth-invalid-20a12e51'}]}, [e2e-llm-inference-service] 'status': None}, 900), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1394 Waiting: No conditions found in status [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1394 Waiting: Missing true conditions: {'RouterReady', 'Ready', 'WorkloadsReady'}, expected {'RouterReady', 'Ready', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-28T17:32:07Z', 'message': 'The following HTTPRoutes are not ready: [e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/auth-invalid-token-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': '2026-07-28T17:32:07Z', 'message': 'Inference Pool e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/auth-invalid-token-test-inference-pool exists but no Gateway controller has accepted it yet', 'reason': 'WaitingForGateway', 'severity': 'Info', 'status': 'False', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T17:32:07Z', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-28T17:32:07Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T17:32:07Z', 'message': 'The following HTTPRoutes are not ready: [e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/auth-invalid-token-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': '2026-07-28T17:32:07Z', 'message': 'The following HTTPRoutes are not ready: [e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/auth-invalid-token-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': '2026-07-28T17:32:07Z', 'message': 'Deployment rollout in progress', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T17:32:07Z', 'reason': 'Progressing', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1394 Waiting: Missing true conditions: {'RouterReady', 'Ready', 'WorkloadsReady'}, expected {'RouterReady', 'Ready', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-28T17:32:24Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-28T17:32:24Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T17:32:24Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-28T17:32:07Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T17:32:24Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T17:32:24Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T17:32:24Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T17:32:24Z', '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:1394 Waiting: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'RouterReady', 'Ready', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-28T17:32:24Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-28T17:32:24Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T17:32:24Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-28T17:32:07Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T17:32:24Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T17:32:39Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T17:32:39Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T17:32:24Z', '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 2: restarts={"kserve-ci-e2e-test/router-gateway-1-openshift-default": "error", "kserve-ci-e2e-test/router-gateway-2-openshift-default": "error", "openshift-ingress/openshift-ai-inference-openshift-default": "1\t{\"running\":{\"startedAt\":\"2026-07-28T17:25:20Z\"}}"} resources={"httproutes": 0, "llminferenceservices": 0, "authpolicies": 0} [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": "error", "kserve-ci-e2e-test/router-gateway-2-openshift-default": "error", "openshift-ingress/openshift-ai-inference-openshift-default": "1\t{\"running\":{\"startedAt\":\"2026-07-28T17:25:20Z\"}}"} resources={"httproutes": 0, "llminferenceservices": 0, "authpolicies": 0} [e2e-llm-inference-service] INFO common.gateway_proxy_istio:gateway_proxy_istio.py:421 Snapshot 4: restarts={"kserve-ci-e2e-test/router-gateway-1-openshift-default": "error", "kserve-ci-e2e-test/router-gateway-2-openshift-default": "error", "openshift-ingress/openshift-ai-inference-openshift-default": "1\t{\"running\":{\"startedAt\":\"2026-07-28T17:25:20Z\"}}"} resources={"httproutes": 0, "llminferenceservices": 0, "authpolicies": 0} [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:test_llm_inference_service.py:1391 Timed out waiting: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'RouterReady', 'Ready', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-28T17:32:24Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-28T17:32:24Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T17:32:24Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-28T17:32:07Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T17:32:24Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T17:32:39Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T17:32:39Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T17:32:24Z', '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] [2026-07-28T17:46:49.422733] end - ❌ 900.258s: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'RouterReady', 'Ready', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-28T17:32:24Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-28T17:32:24Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T17:32:24Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-28T17:32:07Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T17:32:24Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T17:32:39Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T17:32:39Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T17:32:24Z', '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:483 ❌ ERROR: Failed test for auth-invalid-token-test: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'RouterReady', 'Ready', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-28T17:32:24Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-28T17:32:24Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T17:32:24Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-28T17:32:07Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T17:32:24Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T17:32:39Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T17:32:39Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T17:32:24Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:243 # Diagnostics for 'auth-invalid-token-test' in 'e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6' [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:244 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:247 # LLMInferenceService auth-invalid-token-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:256 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: '2026-07-28T17:31:49Z' [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: '2026-07-28T17:31:49Z' [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: '2026-07-28T17:31:49Z' [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-scheduler-latency-predictor: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-template: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-tokenizer: {} [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: '2026-07-28T17:32:39Z' [e2e-llm-inference-service] name: auth-invalid-token-test [e2e-llm-inference-service] namespace: e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 [e2e-llm-inference-service] resourceVersion: '30102' [e2e-llm-inference-service] uid: 6c4597f8-ba4b-42e2-9466-c0d83aba291d [e2e-llm-inference-service] spec: [e2e-llm-inference-service] baseRefs: [e2e-llm-inference-service] - name: router-managed-auth-invalid-tok-7c58bb00 [e2e-llm-inference-service] - name: workload-single-cpu-auth-invali-efc9e473 [e2e-llm-inference-service] - name: model-fb-opt-125m-auth-invalid-20a12e51 [e2e-llm-inference-service] model: [e2e-llm-inference-service] name: auth-invalid-token-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://a2f315e697b4a44a49ee5648ecb7c72c-2003302153.us-east-1.elb.amazonaws.com/ [e2e-llm-inference-service] - name: gateway-external [e2e-llm-inference-service] url: http://a2f315e697b4a44a49ee5648ecb7c72c-2003302153.us-east-1.elb.amazonaws.com/e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/auth-invalid-token-test [e2e-llm-inference-service] - name: gateway-external [e2e-llm-inference-service] url: http://a2f315e697b4a44a49ee5648ecb7c72c-2003302153.us-east-1.elb.amazonaws.com/publishers/e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/models/facebook/opt-125m [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/e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/auth-invalid-token-test [e2e-llm-inference-service] - name: gateway-internal [e2e-llm-inference-service] url: http://openshift-ai-inference-openshift-default.openshift-ingress.svc.cluster.local/publishers/e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/models/facebook/opt-125m [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-scheduler-latency-predictor: kserve-config-llm-scheduler-latency-predictor [e2e-llm-inference-service] serving.kserve.io/config-llm-template: kserve-config-llm-template [e2e-llm-inference-service] serving.kserve.io/config-llm-tokenizer: kserve-config-llm-tokenizer [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: '2026-07-28T17:32:24Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: HTTPRoutesReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-28T17:32:24Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: InferencePoolReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-28T17:32:24Z' [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: '2026-07-28T17:32:07Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: PresetsCombined [e2e-llm-inference-service] - lastTransitionTime: '2026-07-28T17:32:24Z' [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: '2026-07-28T17:32:39Z' [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: RouterReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-28T17:32:39Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: SchedulerWorkloadReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-28T17:32:24Z' [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://a2f315e697b4a44a49ee5648ecb7c72c-2003302153.us-east-1.elb.amazonaws.com/e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/auth-invalid-token-test [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:68 TIME NAMESPACE SOURCE TYPE REASON MESSAGE [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:69 -------------------------------------------------------------------------------------------------- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 None e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 Normal Scheduled Successfully assigned e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/auth-invalid-token-test-kserve-57cd4b8d86-798st to ip-10-0-133-48.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 17:32:06 e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 multus Normal AddedInterface Add eth0 [10.132.0.32/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 17:32:06 e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 kubelet/ip-10-0-133-48.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:3049312fa55515cbc94d5484b2c3ba6994735bde07ec862ad9b359b89e6c0af0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 17:32:06 e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 kubelet/ip-10-0-133-48.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 17:32:06 e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 kubelet/ip-10-0-133-48.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 17:32:06 e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 replicaset-controller Normal SuccessfulCreate Created pod: auth-invalid-token-test-kserve-57cd4b8d86-798st [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 17:32:06 e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 replicaset-controller Normal SuccessfulCreate Created pod: auth-invalid-token-test-kserve-router-scheduler-6d845bb7dck9vvf [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 None e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 Normal Scheduled Successfully assigned e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/auth-invalid-token-test-kserve-router-scheduler-6d845bb7dck9vvf to ip-10-0-138-42.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 17:32:07 e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 multus Normal AddedInterface Add eth0 [10.133.0.45/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 17:32:07 e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 kubelet/ip-10-0-138-42.ec2.internal Normal Pulled Container image "quay.io/opendatahub/odh-llm-d-router-endpoint-picker:v0.9.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 17:32:07 e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 kubelet/ip-10-0-138-42.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 17:32:07 e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 kubelet/ip-10-0-138-42.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 17:32:06 e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-invalid-token-test-kserve-router-scheduler-6d845bb7dc from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 17:32:06 e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-invalid-token-test-kserve-57cd4b8d86 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 17:32:06 e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 LLMInferenceServiceController Normal Created Created v1.Secret e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/auth-invalid-token-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 17:32:06 e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 LLMInferenceServiceController Normal Created Created v1.Deployment e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/auth-invalid-token-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 17:32:06 e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 LLMInferenceServiceController Normal Created Created v1.Service e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/auth-invalid-token-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 17:32:06 e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 LLMInferenceServiceController Normal Created Created v1.ServiceAccount e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/auth-invalid-token-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 17:32:06 e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /e2e-test-llm-auth-invalid-token6000ef13b23b3f7ab1b02b4ac1c6ee1f [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 17:32:06 e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 LLMInferenceServiceController Normal Created Created v1.Role e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/auth-invalid-token-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 17:32:06 e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 LLMInferenceServiceController Normal Created Created v1.RoleBinding e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/auth-invalid-token-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 17:32:06 e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 LLMInferenceServiceController Normal Created Created v1.Deployment e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/auth-invalid-token-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 17:32:06 e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 LLMInferenceServiceController Normal Created Created v1.Service e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/auth-invalid-token-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 17:32:24 e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/auth-invalid-token-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 17:32:23 e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 LLMInferenceServiceController Normal Updated Updated v1.Secret e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/auth-invalid-token-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 17:32:23 e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/auth-invalid-token-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:172 ### Pod auth-invalid-token-test-kserve-57cd4b8d86-798st (phase=Pending) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:212 #### init-container 'storage-initializer' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:225 # -- logs (current) -- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:226 2026-07-28 17:32:07.297 1 storage.initializer INFO [initializer-entrypoint:():17] Initializing, args: (src_uri, dest_path): [('hf://facebook/opt-125m', '/mnt/models')] [e2e-llm-inference-service] 2026-07-28 17:32:07.297 1 storage.initializer INFO [kserve_storage.py:download():168] 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_31abbda4-619c-4649-8c92-dbdece733165'. [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_cc8edb19-97b4-44fd-afd2-1a6940c891eb'. [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_5551e3f3-0131-4811-8b00-b48d24c43962'. [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_72d3799f-3e93-46b9-b9ad-214e3323e1b6'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:212 #### container 'main' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:228 # -- logs (current): unavailable ((400) [e2e-llm-inference-service] Reason: Bad Request [e2e-llm-inference-service] HTTP response headers: HTTPHeaderDict({'Audit-Id': 'f8a5c2a6-097d-4f70-856a-332ae14d211d', 'Cache-Control': 'no-cache, private', 'Content-Type': 'application/json', 'Strict-Transport-Security': 'max-age=31536000; includeSubDomains; preload', 'Date': 'Tue, 28 Jul 2026 17:46:49 GMT', 'Content-Length': '229'}) [e2e-llm-inference-service] HTTP response body: {"kind":"Status","apiVersion":"v1","metadata":{},"status":"Failure","message":"container \"main\" in pod \"auth-invalid-token-test-kserve-57cd4b8d86-798st\" 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:172 ### Pod auth-invalid-token-test-kserve-router-scheduler-6d845bb7dck9vvf (phase=Running) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:212 #### container 'main' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:225 # -- logs (current) -- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:226 {"level":"info","ts":1785259927.2612245,"logger":"setup","caller":"runner/runner.go:196","msg":"GIE build","commit-sha":"unknown","build-ref":""} [e2e-llm-inference-service] {"level":"info","ts":1785259927.2614338,"logger":"setup","caller":"runner/runner.go:217","msg":"Flags processed","flags":{"cert-path":"/var/run/kserve/tls","config-file":"","config-text":"apiVersion: llm-d.ai/v1alpha1\nkind: EndpointPickerConfig\nplugins:\n- type: single-profile-handler\n- type: queue-scorer\n- type: kv-cache-utilization-scorer\n- type: prefix-cache-scorer\n- type: no-hit-lru-scorer\n- type: max-score-picker\n- parameters:\n scheme: https\n type: metrics-data-source\nschedulingProfiles:\n- name: default\n plugins:\n - pluginRef: queue-scorer\n weight: 2\n - pluginRef: kv-cache-utilization-scorer\n weight: 2\n - pluginRef: prefix-cache-scorer\n weight: 3\n - pluginRef: no-hit-lru-scorer\n weight: 2\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":"http","pool-group":"inference.networking.k8s.io","pool-name":"auth-invalid-token-test-inference-pool","pool-namespace":"e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6","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":1785259927.2616434,"logger":"setup.trace","caller":"tracing/telemetry.go:123","msg":"init OTel trace exporter","type":"console"} [e2e-llm-inference-service] {"level":"info","ts":1785259927.2627492,"caller":"loader/configloader.go:121","msg":"Loaded raw configuration","config":"{Plugins: [{Type: single-profile-handler} {Type: queue-scorer} {Type: kv-cache-utilization-scorer} {Type: prefix-cache-scorer} {Type: no-hit-lru-scorer} {Type: max-score-picker} {Type: metrics-data-source, Parameters: {\"scheme\":\"https\"}}], SchedulingProfiles: [{Name: default, Plugins: [{PluginRef: queue-scorer, Weight: 2.00} {PluginRef: kv-cache-utilization-scorer, Weight: 2.00} {PluginRef: prefix-cache-scorer, Weight: 3.00} {PluginRef: no-hit-lru-scorer, Weight: 2.00} {PluginRef: max-score-picker}]}]}"} [e2e-llm-inference-service] {"level":"info","ts":1785259927.2627869,"logger":"setup","caller":"runner/runner.go:622","msg":"Data layer: ENABLED"} [e2e-llm-inference-service] {"level":"info","ts":1785259927.263117,"logger":"setup","caller":"runner/runner.go:281","msg":"Raw config after phase one","config":{"apiVersion":"llm-d.ai/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":"kv-cache-utilization-scorer","parameters":null,"type":"kv-cache-utilization-scorer"},{"name":"prefix-cache-scorer","parameters":null,"type":"prefix-cache-scorer"},{"name":"no-hit-lru-scorer","parameters":null,"type":"no-hit-lru-scorer"},{"name":"max-score-picker","parameters":null,"type":"max-score-picker"},{"name":"metrics-data-source","parameters":{"scheme":"https"},"type":"metrics-data-source"}],"schedulingProfiles":[{"name":"default","plugins":[{"pluginRef":"queue-scorer","weight":2},{"pluginRef":"kv-cache-utilization-scorer","weight":2},{"pluginRef":"prefix-cache-scorer","weight":3},{"pluginRef":"no-hit-lru-scorer","weight":2},{"pluginRef":"max-score-picker","weight":null}]}]}} [e2e-llm-inference-service] {"level":"info","ts":1785259927.2816048,"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":1785259927.281756,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"vllm","mapping":"Mapping{all specs enabled}"} [e2e-llm-inference-service] {"level":"info","ts":1785259927.2818158,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"sglang","mapping":"Mapping{disabled: [lora]}"} [e2e-llm-inference-service] {"level":"info","ts":1785259927.2818677,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"trtllm-serve","mapping":"Mapping{disabled: [lora, cacheInfo]}"} [e2e-llm-inference-service] {"level":"info","ts":1785259927.281943,"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":1785259927.2819755,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"triton","mapping":"Mapping{disabled: [kv, lora, cacheInfo]}"} [e2e-llm-inference-service] {"level":"info","ts":1785259927.282047,"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: kv-cache-utilization-scorer, Type: kv-cache-utilization-scorer} {Name: prefix-cache-scorer, Type: prefix-cache-scorer} {Name: no-hit-lru-scorer, Type: no-hit-lru-scorer} {Name: max-score-picker, Type: max-score-picker} {Name: metrics-data-source, Type: metrics-data-source, Parameters: {\"scheme\":\"https\"}} {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: core-metrics-extractor, Type: core-metrics-extractor}], SchedulingProfiles: [{Name: default, Plugins: [{PluginRef: queue-scorer, Weight: 2.00} {PluginRef: kv-cache-utilization-scorer, Weight: 2.00} {PluginRef: prefix-cache-scorer, Weight: 3.00} {PluginRef: no-hit-lru-scorer, Weight: 2.00} {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":1785259927.282127,"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":1785259927.2821996,"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":1785259927.282236,"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":"no-hit-lru-scorer"} [e2e-llm-inference-service] {"level":"info","ts":1785259927.2822907,"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":1785259927.2823884,"caller":"runner/runner.go:685","msg":"loaded configuration from file/text successfully"} [e2e-llm-inference-service] {"level":"info","ts":1785259927.2824,"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, kv-cache-utilization-scorer/kv-cache-utilization-scorer: 2.000000, prefix-cache-scorer/prefix-cache-scorer: 3.000000, no-hit-lru-scorer/no-hit-lru-scorer: 2.000000], Picker: max-score-picker/max-score-picker}]} SaturationDetector:0xc000815500 DataConfig:{Sources:[{Plugin:0xc000313cb0 Extractors:[0xc000815700]}]} FlowControlConfig: ParserRegistry:0xc000815c40}"} [e2e-llm-inference-service] {"level":"info","ts":1785259927.2997518,"logger":"setup","caller":"runner/runner.go:352","msg":"Setting pprof handlers"} [e2e-llm-inference-service] {"level":"info","ts":1785259927.2997885,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/allocs"} [e2e-llm-inference-service] {"level":"info","ts":1785259927.299803,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/block"} [e2e-llm-inference-service] {"level":"info","ts":1785259927.299808,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/"} [e2e-llm-inference-service] {"level":"info","ts":1785259927.2998128,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/cmdline"} [e2e-llm-inference-service] {"level":"info","ts":1785259927.2998176,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/symbol"} [e2e-llm-inference-service] {"level":"info","ts":1785259927.2998219,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/heap"} [e2e-llm-inference-service] {"level":"info","ts":1785259927.299826,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/threadcreate"} [e2e-llm-inference-service] {"level":"info","ts":1785259927.2998304,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/mutex"} [e2e-llm-inference-service] {"level":"info","ts":1785259927.2998354,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/profile"} [e2e-llm-inference-service] {"level":"info","ts":1785259927.2998397,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/trace"} [e2e-llm-inference-service] {"level":"info","ts":1785259927.2998438,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/goroutine"} [e2e-llm-inference-service] {"level":"info","ts":1785259927.29986,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/plugins/state"} [e2e-llm-inference-service] {"level":"info","ts":1785259927.299866,"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, kv-cache-utilization-scorer/kv-cache-utilization-scorer: 2.000000, prefix-cache-scorer/prefix-cache-scorer: 3.000000, no-hit-lru-scorer/no-hit-lru-scorer: 2.000000], Picker: max-score-picker/max-score-picker}]}"} [e2e-llm-inference-service] {"level":"info","ts":1785259927.2998986,"logger":"setup","caller":"datalayer/runtime.go:99","msg":"Configuring datalayer runtime","numSources":1} [e2e-llm-inference-service] {"level":"info","ts":1785259927.2999077,"logger":"setup","caller":"datalayer/runtime.go:118","msg":"Processing source","source":"metrics-data-source","numExtractors":1} [e2e-llm-inference-service] {"level":"info","ts":1785259927.2999215,"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":1785259927.2999327,"logger":"setup","caller":"datalayer/runtime.go:206","msg":"Datalayer runtime configured","pollers":1,"notifiers":0,"endpointSources":0} [e2e-llm-inference-service] {"level":"info","ts":1785259927.2999442,"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":1785259927.300045,"logger":"setup","caller":"runner/runner.go:721","msg":"ExtProc server runner added to manager."} [e2e-llm-inference-service] {"level":"info","ts":1785259927.3000603,"logger":"setup","caller":"runner/runner.go:260","msg":"Controller manager starting"} [e2e-llm-inference-service] {"level":"info","ts":1785259927.3000858,"logger":"controller-runtime.metrics","caller":"server/server.go:208","msg":"Starting metrics server"} [e2e-llm-inference-service] {"level":"info","ts":1785259927.3002982,"caller":"runnable/grpc.go:35","msg":"gRPC server starting","name":"health"} [e2e-llm-inference-service] {"level":"info","ts":1785259927.3007386,"caller":"controller/controller.go:370","msg":"Starting EventSource","controller":"inferencemodelrewrite","controllerGroup":"llm-d.ai","controllerKind":"InferenceModelRewrite","source":"kind source: *v1alpha2.InferenceModelRewrite"} [e2e-llm-inference-service] {"level":"info","ts":1785259927.3007677,"caller":"runnable/grpc.go:43","msg":"gRPC server listening","name":"health","port":9003} [e2e-llm-inference-service] {"level":"info","ts":1785259927.3008575,"logger":"controller-runtime.metrics","caller":"server/server.go:247","msg":"Serving metrics server","bindAddress":":9090","secure":false} [e2e-llm-inference-service] {"level":"info","ts":1785259927.3010101,"caller":"controller/controller.go:370","msg":"Starting EventSource","controller":"inferenceobjective","controllerGroup":"llm-d.ai","controllerKind":"InferenceObjective","source":"kind source: *v1alpha2.InferenceObjective"} [e2e-llm-inference-service] {"level":"info","ts":1785259927.301139,"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":1785259927.3012607,"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":1785259927.3021457,"caller":"runnable/grpc.go:35","msg":"gRPC server starting","name":"ext-proc"} [e2e-llm-inference-service] {"level":"info","ts":1785259927.302265,"caller":"runnable/grpc.go:43","msg":"gRPC server listening","name":"ext-proc","port":9002} [e2e-llm-inference-service] {"level":"info","ts":1785259927.3051715,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1alpha2.InferenceModelRewrite","reflector":"go/pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1785259927.3052447,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1alpha2.InferenceObjective","reflector":"go/pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1785259927.3054357,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1.InferencePool","reflector":"go/pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1785259927.3056295,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1.Pod","reflector":"go/pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1785259927.4012532,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"inferencemodelrewrite","controllerGroup":"llm-d.ai","controllerKind":"InferenceModelRewrite"} [e2e-llm-inference-service] {"level":"info","ts":1785259927.4012902,"caller":"controller/controller.go:306","msg":"Starting workers","controller":"inferencemodelrewrite","controllerGroup":"llm-d.ai","controllerKind":"InferenceModelRewrite","worker count":1} [e2e-llm-inference-service] {"level":"info","ts":1785259927.4013462,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"inferenceobjective","controllerGroup":"llm-d.ai","controllerKind":"InferenceObjective"} [e2e-llm-inference-service] {"level":"info","ts":1785259927.4013662,"caller":"controller/controller.go:306","msg":"Starting workers","controller":"inferenceobjective","controllerGroup":"llm-d.ai","controllerKind":"InferenceObjective","worker count":1} [e2e-llm-inference-service] {"level":"info","ts":1785259927.5028696,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"pod","controllerGroup":"","controllerKind":"Pod"} [e2e-llm-inference-service] {"level":"info","ts":1785259927.5029001,"caller":"controller/controller.go:306","msg":"Starting workers","controller":"pod","controllerGroup":"","controllerKind":"Pod","worker count":1} [e2e-llm-inference-service] {"level":"info","ts":1785259927.5029533,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"inferencepool","controllerGroup":"inference.networking.k8s.io","controllerKind":"InferencePool"} [e2e-llm-inference-service] {"level":"info","ts":1785259927.5029764,"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":1785259927.5031402,"caller":"controller/inferencepool_reconciler.go:46","msg":"Reconciling InferencePool","controller":"inferencepool","controllerGroup":"inference.networking.k8s.io","controllerKind":"InferencePool","InferencePool":{"name":"auth-invalid-token-test-inference-pool","namespace":"e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6"},"namespace":"e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6","name":"auth-invalid-token-test-inference-pool","reconcileID":"de7835fc-f2ea-4864-b78f-689256fa10bd"} [e2e-llm-inference-service] {"level":"info","ts":1785259943.993974,"caller":"controller/inferencepool_reconciler.go:46","msg":"Reconciling InferencePool","controller":"inferencepool","controllerGroup":"inference.networking.k8s.io","controllerKind":"InferencePool","InferencePool":{"name":"auth-invalid-token-test-inference-pool","namespace":"e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6"},"namespace":"e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6","name":"auth-invalid-token-test-inference-pool","reconcileID":"17246892-992b-4b05-8b53-5a844998cb3e"} [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: auth-invalid-token-test-epp-service [e2e-llm-inference-service] namespace: e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 [e2e-llm-inference-service] uid: a911d586-f13e-4322-bd72-d24aa3951a0d [e2e-llm-inference-service] resourceVersion: '30093' [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:32:06Z' [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-invalid-token-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: '2026-07-28T17:32:38Z' [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: '2026-07-28T17:32:38Z' [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-10-0-138-42.ec2.internal [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 [e2e-llm-inference-service] name: auth-invalid-token-test-kserve-router-scheduler-6d845bb7dck9vvf [e2e-llm-inference-service] uid: a1848b41-ec2a-497e-86ad-79a190124a6b [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: auth-invalid-token-test-kserve-workload-svc [e2e-llm-inference-service] namespace: e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 [e2e-llm-inference-service] uid: ff3f7f29-09da-488a-a8a7-c447cf426939 [e2e-llm-inference-service] resourceVersion: '29651' [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:32:06Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: auth-invalid-token-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: '2026-07-28T17:32:06Z' [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: '2026-07-28T17:32:07Z' [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: 10.132.0.32 [e2e-llm-inference-service] nodeName: ip-10-0-133-48.ec2.internal [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 [e2e-llm-inference-service] name: auth-invalid-token-test-kserve-57cd4b8d86-798st [e2e-llm-inference-service] uid: 525d4444-7c09-4cf1-92c6-4e2c46579c7a [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: auth-invalid-token-test-kserve-57cd4b8d86-798st [e2e-llm-inference-service] generateName: auth-invalid-token-test-kserve-57cd4b8d86- [e2e-llm-inference-service] namespace: e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 [e2e-llm-inference-service] uid: 525d4444-7c09-4cf1-92c6-4e2c46579c7a [e2e-llm-inference-service] resourceVersion: '29649' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:32:06Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: auth-invalid-token-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: 57cd4b8d86 [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] k8s.ovn.org/pod-networks: '{"default":{"ip_addresses":["10.132.0.32/23"],"mac_address":"0a:58:0a:84:00:20","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":"10.132.0.32/23","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 \"10.132.0.32\"\n ],\n\ [e2e-llm-inference-service] \ \"mac\": \"0a:58:0a:84:00:20\",\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: auth-invalid-token-test-kserve-57cd4b8d86 [e2e-llm-inference-service] uid: 616200a4-721a-4dd3-b62b-4137058f1a51 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: ip-10-0-133-48 [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-28T17:32:06Z' [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: '2026-07-28T17:32:06Z' [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":"616200a4-721a-4dd3-b62b-4137058f1a51"}: {} [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] k:{"name":"TOKIO_WORKER_THREADS"}: [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: '2026-07-28T17:32:06Z' [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: '2026-07-28T17:32:07Z' [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":"10.132.0.32"}: [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: 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-invalid-token-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-s8vn4 [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@sha256:3049312fa55515cbc94d5484b2c3ba6994735bde07ec862ad9b359b89e6c0af0 [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: TOKIO_WORKER_THREADS [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-s8vn4 [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: 1000800000 [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: vllm/vllm-openai-cpu: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\" \"${VLLM_VERSION}\" | sort -V | head\ [e2e-llm-inference-service] \ -1)\" = \"0.18.0\" ]; then\n SHUTDOWN_TIMEOUT_ARGS=\"--shutdown-timeout 40\"\ [e2e-llm-inference-service] \nfi\n\n# --kv-transfer-config with OffloadingConnector requires vLLM 0.22.0+\ [e2e-llm-inference-service] \ (vllm-project/vllm#40020).\nKV_TRANSFER_ARGS=\"\"\nif [[ \"$VLLM_VERSION\"\ [e2e-llm-inference-service] \ =~ ^[0-9]+\\.[0-9]+ ]] && [ \"$(printf '%s\\n%s\\n' \"0.22.0\" \"${VLLM_VERSION}\"\ [e2e-llm-inference-service] \ | sort -V | head -1)\" = \"0.22.0\" ]; then\n if [[ \"${VLLM_ADDITIONAL_ARGS:-}\"\ [e2e-llm-inference-service] \ != *\"--kv-transfer-config\"* ]] && [[ \"${VLLM_ADDITIONAL_ARGS:-}\" != *\"\ [e2e-llm-inference-service] --kv_transfer_config\"* ]] && [[ \"$*\" != *\"--kv-transfer-config\"* ]] &&\ [e2e-llm-inference-service] \ [[ \"$*\" != *\"--kv_transfer_config\"* ]]; then\n KV_TRANSFER_ARGS=\"\"\ [e2e-llm-inference-service] \n fi\nfi\n\neval \"exec vllm serve /mnt/models \\\n --served-model-name \"\ [e2e-llm-inference-service] facebook/opt-125m\" \"publishers/e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/models/facebook/opt-125m\"\ [e2e-llm-inference-service] \ \\\n --port 8000 \\\n ${ACCESS_LOG_ARGS} \\\n ${SHUTDOWN_TIMEOUT_ARGS}\ [e2e-llm-inference-service] \ \\\n ${KV_TRANSFER_ARGS} \\\n \\\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] - name: kube-api-access-s8vn4 [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: 1000800000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: false [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-10-0-133-48.ec2.internal [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] seLinuxOptions: [e2e-llm-inference-service] level: s0:c28,c22 [e2e-llm-inference-service] fsGroup: 1000800000 [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-kv7w8 [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: '2026-07-28T17:32:07Z' [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: '2026-07-28T17:32:06Z' [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: '2026-07-28T17:32:06Z' [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: '2026-07-28T17:32:06Z' [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: '2026-07-28T17:32:06Z' [e2e-llm-inference-service] hostIP: 10.0.133.48 [e2e-llm-inference-service] hostIPs: [e2e-llm-inference-service] - ip: 10.0.133.48 [e2e-llm-inference-service] podIP: 10.132.0.32 [e2e-llm-inference-service] podIPs: [e2e-llm-inference-service] - ip: 10.132.0.32 [e2e-llm-inference-service] startTime: '2026-07-28T17:32:06Z' [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: '2026-07-28T17:32:06Z' [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@sha256:3049312fa55515cbc94d5484b2c3ba6994735bde07ec862ad9b359b89e6c0af0 [e2e-llm-inference-service] imageID: quay.io/opendatahub/kserve-storage-initializer@sha256:3049312fa55515cbc94d5484b2c3ba6994735bde07ec862ad9b359b89e6c0af0 [e2e-llm-inference-service] containerID: cri-o://2f10b6241cd86c24aeb634024dfc27cf194e17fee394971317fb8d1e22cab13a [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-s8vn4 [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: 1000800000 [e2e-llm-inference-service] gid: 0 [e2e-llm-inference-service] supplementalGroups: [e2e-llm-inference-service] - 0 [e2e-llm-inference-service] - 1000800000 [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: vllm/vllm-openai-cpu: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-s8vn4 [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: auth-invalid-token-test-kserve-router-scheduler-6d845bb7dck9vvf [e2e-llm-inference-service] generateName: auth-invalid-token-test-kserve-router-scheduler-6d845bb7dc- [e2e-llm-inference-service] namespace: e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 [e2e-llm-inference-service] uid: a1848b41-ec2a-497e-86ad-79a190124a6b [e2e-llm-inference-service] resourceVersion: '30091' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:32:06Z' [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-invalid-token-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 6d845bb7dc [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] app.kubernetes.io/version: 0.10.0 [e2e-llm-inference-service] certificates.kserve.io/expiration-v2: 'true' [e2e-llm-inference-service] k8s.ovn.org/pod-networks: '{"default":{"ip_addresses":["10.133.0.45/23"],"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: auth-invalid-token-test-kserve-router-scheduler-6d845bb7dc [e2e-llm-inference-service] uid: c34c1ab4-53e6-46c1-bdb2-962d9b1e9483 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: ip-10-0-138-42 [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-28T17:32:06Z' [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: '2026-07-28T17:32:06Z' [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":"c34c1ab4-53e6-46c1-bdb2-962d9b1e9483"}: {} [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: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: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] 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] - manager: multus-daemon [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-28T17:32:07Z' [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: '2026-07-28T17:32:38Z' [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":"10.133.0.45"}: [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: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: auth-invalid-token-test-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: kube-api-access-j922p [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: quay.io/opendatahub/odh-llm-d-router-endpoint-picker:v0.9.0 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/epp [e2e-llm-inference-service] - --pool-name [e2e-llm-inference-service] - auth-invalid-token-test-inference-pool [e2e-llm-inference-service] - --pool-namespace [e2e-llm-inference-service] - e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 [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] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --config-text [e2e-llm-inference-service] - "apiVersion: llm-d.ai/v1alpha1\nkind: EndpointPickerConfig\nplugins:\n- type:\ [e2e-llm-inference-service] \ single-profile-handler\n- type: queue-scorer\n- type: kv-cache-utilization-scorer\n\ [e2e-llm-inference-service] - type: prefix-cache-scorer\n- type: no-hit-lru-scorer\n- type: max-score-picker\n\ [e2e-llm-inference-service] - parameters:\n scheme: https\n type: metrics-data-source\nschedulingProfiles:\n\ [e2e-llm-inference-service] - name: default\n plugins:\n - pluginRef: queue-scorer\n weight: 2\n -\ [e2e-llm-inference-service] \ pluginRef: kv-cache-utilization-scorer\n weight: 2\n - pluginRef: prefix-cache-scorer\n\ [e2e-llm-inference-service] \ weight: 3\n - pluginRef: no-hit-lru-scorer\n weight: 2\n - pluginRef:\ [e2e-llm-inference-service] \ 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] limits: [e2e-llm-inference-service] cpu: '6' [e2e-llm-inference-service] memory: 16Gi [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: kube-api-access-j922p [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: 1000800000 [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-invalid-token-test-epp-sa [e2e-llm-inference-service] serviceAccount: auth-invalid-token-test-epp-sa [e2e-llm-inference-service] nodeName: ip-10-0-138-42.ec2.internal [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] seLinuxOptions: [e2e-llm-inference-service] level: s0:c28,c22 [e2e-llm-inference-service] fsGroup: 1000800000 [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-kv7w8 [e2e-llm-inference-service] - name: auth-invalid-token-test-epp-sa-dockercfg-8t6fb [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: '2026-07-28T17:32:07Z' [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: '2026-07-28T17:32:06Z' [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: '2026-07-28T17:32:38Z' [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: '2026-07-28T17:32:38Z' [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: '2026-07-28T17:32:06Z' [e2e-llm-inference-service] hostIP: 10.0.138.42 [e2e-llm-inference-service] hostIPs: [e2e-llm-inference-service] - ip: 10.0.138.42 [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: '2026-07-28T17:32:06Z' [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: '2026-07-28T17:32:07Z' [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/odh-llm-d-router-endpoint-picker:v0.9.0 [e2e-llm-inference-service] imageID: quay.io/opendatahub/odh-llm-d-router-endpoint-picker@sha256:7fd1d61cb5505e026eebab0b9653758779c3dee241e37bea92a0bab961a48c50 [e2e-llm-inference-service] containerID: cri-o://5fdc17b80029de84c5161605c561136655c25a447daa165fe06ad74239aa3d75 [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] limits: [e2e-llm-inference-service] cpu: '6' [e2e-llm-inference-service] memory: 16Gi [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: kube-api-access-j922p [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: 1000800000 [e2e-llm-inference-service] gid: 0 [e2e-llm-inference-service] supplementalGroups: [e2e-llm-inference-service] - 0 [e2e-llm-inference-service] - 1000800000 [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: auth-invalid-token-test-epp-sa [e2e-llm-inference-service] namespace: e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 [e2e-llm-inference-service] uid: e01c3f06-0caa-41b6-9578-3a6d120ff17d [e2e-llm-inference-service] resourceVersion: '29579' [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:32:06Z' [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-invalid-token-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-invalid-token-test-epp-sa-dockercfg-8t6fb [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-invalid-token-test [e2e-llm-inference-service] uid: 6c4597f8-ba4b-42e2-9466-c0d83aba291d [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: '2026-07-28T17:32:06Z' [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-invalid-token-test-epp-sa-dockercfg-8t6fb"}: {} [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-28T17:32:06Z' [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":"6c4597f8-ba4b-42e2-9466-c0d83aba291d"}: {} [e2e-llm-inference-service] f:secrets: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"default-dockercfg-kv7w8"}: {} [e2e-llm-inference-service] k:{"name":"seaweedfs-s3-creds"}: {} [e2e-llm-inference-service] secrets: [e2e-llm-inference-service] - name: seaweedfs-s3-creds [e2e-llm-inference-service] - name: default-dockercfg-kv7w8 [e2e-llm-inference-service] - name: auth-invalid-token-test-epp-sa-dockercfg-8t6fb [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-kv7w8 [e2e-llm-inference-service] - name: auth-invalid-token-test-epp-sa-dockercfg-8t6fb [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: ServiceAccount [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: auth-invalid-token-test-epp-service [e2e-llm-inference-service] namespace: e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 [e2e-llm-inference-service] uid: 25f13f5b-1c11-48ff-9791-7d3f7d12ebdf [e2e-llm-inference-service] resourceVersion: '29604' [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:32:06Z' [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-invalid-token-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-invalid-token-test [e2e-llm-inference-service] uid: 6c4597f8-ba4b-42e2-9466-c0d83aba291d [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: '2026-07-28T17:32:06Z' [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":"6c4597f8-ba4b-42e2-9466-c0d83aba291d"}: {} [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-invalid-token-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] clusterIP: 172.31.193.72 [e2e-llm-inference-service] clusterIPs: [e2e-llm-inference-service] - 172.31.193.72 [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: auth-invalid-token-test-kserve-workload-svc [e2e-llm-inference-service] namespace: e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 [e2e-llm-inference-service] uid: 86898c44-b58a-4fcd-801f-100dd1012cff [e2e-llm-inference-service] resourceVersion: '29572' [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:32:06Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: auth-invalid-token-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-invalid-token-test [e2e-llm-inference-service] uid: 6c4597f8-ba4b-42e2-9466-c0d83aba291d [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: '2026-07-28T17:32:06Z' [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":"6c4597f8-ba4b-42e2-9466-c0d83aba291d"}: {} [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-invalid-token-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] clusterIP: 172.31.250.126 [e2e-llm-inference-service] clusterIPs: [e2e-llm-inference-service] - 172.31.250.126 [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: auth-invalid-token-test-kserve [e2e-llm-inference-service] namespace: e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 [e2e-llm-inference-service] uid: b52db4ec-c3a5-41f8-80b5-4df8c9a7d31f [e2e-llm-inference-service] resourceVersion: '36075' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:32:06Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: auth-invalid-token-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-invalid-token-test [e2e-llm-inference-service] uid: 6c4597f8-ba4b-42e2-9466-c0d83aba291d [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: '2026-07-28T17:32:06Z' [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":"6c4597f8-ba4b-42e2-9466-c0d83aba291d"}: {} [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] k:{"name":"TOKIO_WORKER_THREADS"}: [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: '2026-07-28T17:42:07Z' [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-invalid-token-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-invalid-token-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-invalid-token-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@sha256:3049312fa55515cbc94d5484b2c3ba6994735bde07ec862ad9b359b89e6c0af0 [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: TOKIO_WORKER_THREADS [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] 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: vllm/vllm-openai-cpu: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\" \"${VLLM_VERSION}\" | sort\ [e2e-llm-inference-service] \ -V | head -1)\" = \"0.18.0\" ]; then\n SHUTDOWN_TIMEOUT_ARGS=\"--shutdown-timeout\ [e2e-llm-inference-service] \ 40\"\nfi\n\n# --kv-transfer-config with OffloadingConnector requires vLLM\ [e2e-llm-inference-service] \ 0.22.0+ (vllm-project/vllm#40020).\nKV_TRANSFER_ARGS=\"\"\nif [[ \"$VLLM_VERSION\"\ [e2e-llm-inference-service] \ =~ ^[0-9]+\\.[0-9]+ ]] && [ \"$(printf '%s\\n%s\\n' \"0.22.0\" \"${VLLM_VERSION}\"\ [e2e-llm-inference-service] \ | sort -V | head -1)\" = \"0.22.0\" ]; then\n if [[ \"${VLLM_ADDITIONAL_ARGS:-}\"\ [e2e-llm-inference-service] \ != *\"--kv-transfer-config\"* ]] && [[ \"${VLLM_ADDITIONAL_ARGS:-}\" !=\ [e2e-llm-inference-service] \ *\"--kv_transfer_config\"* ]] && [[ \"$*\" != *\"--kv-transfer-config\"\ [e2e-llm-inference-service] * ]] && [[ \"$*\" != *\"--kv_transfer_config\"* ]]; then\n KV_TRANSFER_ARGS=\"\ [e2e-llm-inference-service] \"\n fi\nfi\n\neval \"exec vllm serve /mnt/models \\\n --served-model-name\ [e2e-llm-inference-service] \ \"facebook/opt-125m\" \"publishers/e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/models/facebook/opt-125m\"\ [e2e-llm-inference-service] \ \\\n --port 8000 \\\n ${ACCESS_LOG_ARGS} \\\n ${SHUTDOWN_TIMEOUT_ARGS}\ [e2e-llm-inference-service] \ \\\n ${KV_TRANSFER_ARGS} \\\n \\\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] 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: false [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: '2026-07-28T17:32:06Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-28T17:32:06Z' [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: '2026-07-28T17:42:07Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-28T17:42:07Z' [e2e-llm-inference-service] reason: ProgressDeadlineExceeded [e2e-llm-inference-service] message: ReplicaSet "auth-invalid-token-test-kserve-57cd4b8d86" 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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: auth-invalid-token-test-kserve-router-scheduler [e2e-llm-inference-service] namespace: e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 [e2e-llm-inference-service] uid: a2b4c4c8-b5ec-4db0-a839-46d9df3cb6b2 [e2e-llm-inference-service] resourceVersion: '30095' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:32:06Z' [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-invalid-token-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-invalid-token-test [e2e-llm-inference-service] uid: 6c4597f8-ba4b-42e2-9466-c0d83aba291d [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: '2026-07-28T17:32:06Z' [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":"6c4597f8-ba4b-42e2-9466-c0d83aba291d"}: {} [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: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: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] 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] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-28T17:32:38Z' [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-invalid-token-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-invalid-token-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] app.kubernetes.io/version: 0.10.0 [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-invalid-token-test-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: quay.io/opendatahub/odh-llm-d-router-endpoint-picker:v0.9.0 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/epp [e2e-llm-inference-service] - --pool-name [e2e-llm-inference-service] - auth-invalid-token-test-inference-pool [e2e-llm-inference-service] - --pool-namespace [e2e-llm-inference-service] - e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 [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] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --config-text [e2e-llm-inference-service] - "apiVersion: llm-d.ai/v1alpha1\nkind: EndpointPickerConfig\nplugins:\n-\ [e2e-llm-inference-service] \ type: single-profile-handler\n- type: queue-scorer\n- type: kv-cache-utilization-scorer\n\ [e2e-llm-inference-service] - type: prefix-cache-scorer\n- type: no-hit-lru-scorer\n- type: max-score-picker\n\ [e2e-llm-inference-service] - parameters:\n scheme: https\n type: metrics-data-source\nschedulingProfiles:\n\ [e2e-llm-inference-service] - name: default\n plugins:\n - pluginRef: queue-scorer\n weight: 2\n\ [e2e-llm-inference-service] \ - pluginRef: kv-cache-utilization-scorer\n weight: 2\n - pluginRef:\ [e2e-llm-inference-service] \ prefix-cache-scorer\n weight: 3\n - pluginRef: no-hit-lru-scorer\n\ [e2e-llm-inference-service] \ weight: 2\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] limits: [e2e-llm-inference-service] cpu: '6' [e2e-llm-inference-service] memory: 16Gi [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] 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-invalid-token-test-epp-sa [e2e-llm-inference-service] serviceAccount: auth-invalid-token-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: '2026-07-28T17:32:38Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-28T17:32:38Z' [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: '2026-07-28T17:32:38Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-28T17:32:06Z' [e2e-llm-inference-service] reason: NewReplicaSetAvailable [e2e-llm-inference-service] message: ReplicaSet "auth-invalid-token-test-kserve-router-scheduler-6d845bb7dc" [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: auth-invalid-token-test-kserve-57cd4b8d86 [e2e-llm-inference-service] namespace: e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 [e2e-llm-inference-service] uid: 616200a4-721a-4dd3-b62b-4137058f1a51 [e2e-llm-inference-service] resourceVersion: '29589' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:32:06Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: auth-invalid-token-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: 57cd4b8d86 [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-invalid-token-test-kserve [e2e-llm-inference-service] uid: b52db4ec-c3a5-41f8-80b5-4df8c9a7d31f [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: '2026-07-28T17:32:06Z' [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":"b52db4ec-c3a5-41f8-80b5-4df8c9a7d31f"}: {} [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] k:{"name":"TOKIO_WORKER_THREADS"}: [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: '2026-07-28T17:32:06Z' [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-invalid-token-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: 57cd4b8d86 [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-invalid-token-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: 57cd4b8d86 [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-invalid-token-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@sha256:3049312fa55515cbc94d5484b2c3ba6994735bde07ec862ad9b359b89e6c0af0 [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: TOKIO_WORKER_THREADS [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] 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: vllm/vllm-openai-cpu: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\" \"${VLLM_VERSION}\" | sort\ [e2e-llm-inference-service] \ -V | head -1)\" = \"0.18.0\" ]; then\n SHUTDOWN_TIMEOUT_ARGS=\"--shutdown-timeout\ [e2e-llm-inference-service] \ 40\"\nfi\n\n# --kv-transfer-config with OffloadingConnector requires vLLM\ [e2e-llm-inference-service] \ 0.22.0+ (vllm-project/vllm#40020).\nKV_TRANSFER_ARGS=\"\"\nif [[ \"$VLLM_VERSION\"\ [e2e-llm-inference-service] \ =~ ^[0-9]+\\.[0-9]+ ]] && [ \"$(printf '%s\\n%s\\n' \"0.22.0\" \"${VLLM_VERSION}\"\ [e2e-llm-inference-service] \ | sort -V | head -1)\" = \"0.22.0\" ]; then\n if [[ \"${VLLM_ADDITIONAL_ARGS:-}\"\ [e2e-llm-inference-service] \ != *\"--kv-transfer-config\"* ]] && [[ \"${VLLM_ADDITIONAL_ARGS:-}\" !=\ [e2e-llm-inference-service] \ *\"--kv_transfer_config\"* ]] && [[ \"$*\" != *\"--kv-transfer-config\"\ [e2e-llm-inference-service] * ]] && [[ \"$*\" != *\"--kv_transfer_config\"* ]]; then\n KV_TRANSFER_ARGS=\"\ [e2e-llm-inference-service] \"\n fi\nfi\n\neval \"exec vllm serve /mnt/models \\\n --served-model-name\ [e2e-llm-inference-service] \ \"facebook/opt-125m\" \"publishers/e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/models/facebook/opt-125m\"\ [e2e-llm-inference-service] \ \\\n --port 8000 \\\n ${ACCESS_LOG_ARGS} \\\n ${SHUTDOWN_TIMEOUT_ARGS}\ [e2e-llm-inference-service] \ \\\n ${KV_TRANSFER_ARGS} \\\n \\\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] 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: false [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: auth-invalid-token-test-kserve-router-scheduler-6d845bb7dc [e2e-llm-inference-service] namespace: e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 [e2e-llm-inference-service] uid: c34c1ab4-53e6-46c1-bdb2-962d9b1e9483 [e2e-llm-inference-service] resourceVersion: '30094' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:32:06Z' [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-invalid-token-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 6d845bb7dc [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-invalid-token-test-kserve-router-scheduler [e2e-llm-inference-service] uid: a2b4c4c8-b5ec-4db0-a839-46d9df3cb6b2 [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: '2026-07-28T17:32:06Z' [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":"a2b4c4c8-b5ec-4db0-a839-46d9df3cb6b2"}: {} [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: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: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] 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] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-28T17:32:38Z' [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-invalid-token-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 6d845bb7dc [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-invalid-token-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 6d845bb7dc [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] app.kubernetes.io/version: 0.10.0 [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-invalid-token-test-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: quay.io/opendatahub/odh-llm-d-router-endpoint-picker:v0.9.0 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/epp [e2e-llm-inference-service] - --pool-name [e2e-llm-inference-service] - auth-invalid-token-test-inference-pool [e2e-llm-inference-service] - --pool-namespace [e2e-llm-inference-service] - e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 [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] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --config-text [e2e-llm-inference-service] - "apiVersion: llm-d.ai/v1alpha1\nkind: EndpointPickerConfig\nplugins:\n-\ [e2e-llm-inference-service] \ type: single-profile-handler\n- type: queue-scorer\n- type: kv-cache-utilization-scorer\n\ [e2e-llm-inference-service] - type: prefix-cache-scorer\n- type: no-hit-lru-scorer\n- type: max-score-picker\n\ [e2e-llm-inference-service] - parameters:\n scheme: https\n type: metrics-data-source\nschedulingProfiles:\n\ [e2e-llm-inference-service] - name: default\n plugins:\n - pluginRef: queue-scorer\n weight: 2\n\ [e2e-llm-inference-service] \ - pluginRef: kv-cache-utilization-scorer\n weight: 2\n - pluginRef:\ [e2e-llm-inference-service] \ prefix-cache-scorer\n weight: 3\n - pluginRef: no-hit-lru-scorer\n\ [e2e-llm-inference-service] \ weight: 2\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] limits: [e2e-llm-inference-service] cpu: '6' [e2e-llm-inference-service] memory: 16Gi [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] 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-invalid-token-test-epp-sa [e2e-llm-inference-service] serviceAccount: auth-invalid-token-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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: auth-invalid-token-test-epp-rb [e2e-llm-inference-service] namespace: e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 [e2e-llm-inference-service] uid: 17daf88b-671b-41db-bcb5-8b44996c8d33 [e2e-llm-inference-service] resourceVersion: '29598' [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:32:06Z' [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-invalid-token-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-invalid-token-test [e2e-llm-inference-service] uid: 6c4597f8-ba4b-42e2-9466-c0d83aba291d [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: '2026-07-28T17:32:06Z' [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":"6c4597f8-ba4b-42e2-9466-c0d83aba291d"}: {} [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-invalid-token-test-epp-sa [e2e-llm-inference-service] namespace: e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 [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-invalid-token-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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: auth-invalid-token-test-epp-role [e2e-llm-inference-service] namespace: e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 [e2e-llm-inference-service] uid: 424e5645-a1ef-496d-8aa1-3a54dd22f30a [e2e-llm-inference-service] resourceVersion: '29595' [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:32:06Z' [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-invalid-token-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-invalid-token-test [e2e-llm-inference-service] uid: 6c4597f8-ba4b-42e2-9466-c0d83aba291d [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: '2026-07-28T17:32:06Z' [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":"6c4597f8-ba4b-42e2-9466-c0d83aba291d"}: {} [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] - llm-d.ai [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferenceobjectives [e2e-llm-inference-service] - inferencemodelrewrites [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: auth-invalid-token-test-epp-service-bgwgv [e2e-llm-inference-service] generateName: auth-invalid-token-test-epp-service- [e2e-llm-inference-service] namespace: e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 [e2e-llm-inference-service] uid: b04af189-9bec-452c-ade6-ce8c013652b6 [e2e-llm-inference-service] resourceVersion: '30092' [e2e-llm-inference-service] generation: 3 [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:32:06Z' [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-invalid-token-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-invalid-token-test-epp-service [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] endpoints.kubernetes.io/last-change-trigger-time: '2026-07-28T17:32:38Z' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: v1 [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: auth-invalid-token-test-epp-service [e2e-llm-inference-service] uid: 25f13f5b-1c11-48ff-9791-7d3f7d12ebdf [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: '2026-07-28T17:32:38Z' [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":"25f13f5b-1c11-48ff-9791-7d3f7d12ebdf"}: {} [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] - 10.133.0.45 [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: e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 [e2e-llm-inference-service] name: auth-invalid-token-test-kserve-router-scheduler-6d845bb7dck9vvf [e2e-llm-inference-service] uid: a1848b41-ec2a-497e-86ad-79a190124a6b [e2e-llm-inference-service] nodeName: ip-10-0-138-42.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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: auth-invalid-token-test-kserve-workload-svc-hdh9p [e2e-llm-inference-service] generateName: auth-invalid-token-test-kserve-workload-svc- [e2e-llm-inference-service] namespace: e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 [e2e-llm-inference-service] uid: 5f2d1403-b60c-4181-b8db-6cbb227aeb4b [e2e-llm-inference-service] resourceVersion: '29650' [e2e-llm-inference-service] generation: 2 [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:32:06Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: auth-invalid-token-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-invalid-token-test-kserve-workload-svc [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] endpoints.kubernetes.io/last-change-trigger-time: '2026-07-28T17:32:06Z' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: v1 [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: auth-invalid-token-test-kserve-workload-svc [e2e-llm-inference-service] uid: 86898c44-b58a-4fcd-801f-100dd1012cff [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: '2026-07-28T17:32:07Z' [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":"86898c44-b58a-4fcd-801f-100dd1012cff"}: {} [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] - 10.132.0.32 [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: e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 [e2e-llm-inference-service] name: auth-invalid-token-test-kserve-57cd4b8d86-798st [e2e-llm-inference-service] uid: 525d4444-7c09-4cf1-92c6-4e2c46579c7a [e2e-llm-inference-service] nodeName: ip-10-0-133-48.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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: auth-invalid-token-test-epp-rb [e2e-llm-inference-service] namespace: e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 [e2e-llm-inference-service] uid: 17daf88b-671b-41db-bcb5-8b44996c8d33 [e2e-llm-inference-service] resourceVersion: '29598' [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:32:06Z' [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-invalid-token-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-invalid-token-test [e2e-llm-inference-service] uid: 6c4597f8-ba4b-42e2-9466-c0d83aba291d [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: '2026-07-28T17:32:06Z' [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":"6c4597f8-ba4b-42e2-9466-c0d83aba291d"}: {} [e2e-llm-inference-service] f:roleRef: {} [e2e-llm-inference-service] f:subjects: {} [e2e-llm-inference-service] userNames: [e2e-llm-inference-service] - system:serviceaccount:e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6:auth-invalid-token-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: e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 [e2e-llm-inference-service] name: auth-invalid-token-test-epp-sa [e2e-llm-inference-service] roleRef: [e2e-llm-inference-service] namespace: e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 [e2e-llm-inference-service] name: auth-invalid-token-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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: auth-invalid-token-test-epp-role [e2e-llm-inference-service] namespace: e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 [e2e-llm-inference-service] uid: 424e5645-a1ef-496d-8aa1-3a54dd22f30a [e2e-llm-inference-service] resourceVersion: '29595' [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:32:06Z' [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-invalid-token-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-invalid-token-test [e2e-llm-inference-service] uid: 6c4597f8-ba4b-42e2-9466-c0d83aba291d [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: '2026-07-28T17:32:06Z' [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":"6c4597f8-ba4b-42e2-9466-c0d83aba291d"}: {} [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] - llm-d.ai [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencemodelrewrites [e2e-llm-inference-service] - inferenceobjectives [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 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: '2026-07-28T17:32:07Z' [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-invalid-token-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":"6c4597f8-ba4b-42e2-9466-c0d83aba291d"}: {} [e2e-llm-inference-service] f:spec: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-28T17:32:23Z' [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: '2026-07-28T17:32:24Z' [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: '2026-07-28T17:32:24Z' [e2e-llm-inference-service] name: auth-invalid-token-test-kserve-route [e2e-llm-inference-service] namespace: e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 [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-invalid-token-test [e2e-llm-inference-service] uid: 6c4597f8-ba4b-42e2-9466-c0d83aba291d [e2e-llm-inference-service] resourceVersion: '29929' [e2e-llm-inference-service] uid: fdb139ba-c5fe-43b9-a48c-f94e40f5dce0 [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-invalid-token-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: /e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/auth-invalid-token-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-invalid-token-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: /e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/auth-invalid-token-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-invalid-token-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: /e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/auth-invalid-token-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-invalid-token-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: /e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/auth-invalid-token-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-invalid-token-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/e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/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/e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/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/e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/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/e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/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/e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/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/e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/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/e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/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/e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/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: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: auth-invalid-token-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: /publishers/e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/models/facebook/opt-125m/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-invalid-token-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: /publishers/e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/models/facebook/opt-125m/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-invalid-token-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: /publishers/e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/models/facebook/opt-125m/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-invalid-token-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: /publishers/e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/models/facebook/opt-125m/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-invalid-token-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: /publishers/e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/models/facebook/opt-125m [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-invalid-token-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: /e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/auth-invalid-token-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-invalid-token-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/e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/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: '2026-07-28T17:32:07Z' [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: '2026-07-28T17:32:24Z' [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: '2026-07-28T17:32:07Z' [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 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: '2026-07-28T17:32:07Z' [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-invalid-token-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":"6c4597f8-ba4b-42e2-9466-c0d83aba291d"}: {} [e2e-llm-inference-service] f:spec: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-28T17:32:23Z' [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: '2026-07-28T17:32:24Z' [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: '2026-07-28T17:32:24Z' [e2e-llm-inference-service] name: auth-invalid-token-test-kserve-route [e2e-llm-inference-service] namespace: e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 [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-invalid-token-test [e2e-llm-inference-service] uid: 6c4597f8-ba4b-42e2-9466-c0d83aba291d [e2e-llm-inference-service] resourceVersion: '29929' [e2e-llm-inference-service] uid: fdb139ba-c5fe-43b9-a48c-f94e40f5dce0 [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-invalid-token-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: /e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/auth-invalid-token-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-invalid-token-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: /e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/auth-invalid-token-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-invalid-token-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: /e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/auth-invalid-token-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-invalid-token-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: /e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/auth-invalid-token-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-invalid-token-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/e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/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/e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/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/e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/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/e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/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/e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/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/e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/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/e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/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/e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/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: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: auth-invalid-token-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: /publishers/e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/models/facebook/opt-125m/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-invalid-token-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: /publishers/e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/models/facebook/opt-125m/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-invalid-token-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: /publishers/e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/models/facebook/opt-125m/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-invalid-token-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: /publishers/e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/models/facebook/opt-125m/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-invalid-token-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: /publishers/e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/models/facebook/opt-125m [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-invalid-token-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: /e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/auth-invalid-token-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-invalid-token-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/e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6/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: '2026-07-28T17:32:07Z' [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: '2026-07-28T17:32:24Z' [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: '2026-07-28T17:32:07Z' [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 apiVersion: inference.networking.k8s.io/v1 [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:32:06Z' [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-invalid-token-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":"6c4597f8-ba4b-42e2-9466-c0d83aba291d"}: {} [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: '2026-07-28T17:32:06Z' [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: '2026-07-28T17:32:23Z' [e2e-llm-inference-service] name: auth-invalid-token-test-inference-pool [e2e-llm-inference-service] namespace: e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 [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-invalid-token-test [e2e-llm-inference-service] uid: 6c4597f8-ba4b-42e2-9466-c0d83aba291d [e2e-llm-inference-service] resourceVersion: '29913' [e2e-llm-inference-service] uid: d6d9c269-ae21-4e42-91a8-77e84be80fff [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-invalid-token-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-invalid-token-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: '2026-07-28T17:32:23Z' [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: '2026-07-28T17:32:23Z' [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:32:07Z' [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-invalid-token-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":"6c4597f8-ba4b-42e2-9466-c0d83aba291d"}: {} [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: '2026-07-28T17:32:07Z' [e2e-llm-inference-service] name: auth-invalid-token-test-kserve-scheduler [e2e-llm-inference-service] namespace: e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 [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-invalid-token-test [e2e-llm-inference-service] uid: 6c4597f8-ba4b-42e2-9466-c0d83aba291d [e2e-llm-inference-service] resourceVersion: '29645' [e2e-llm-inference-service] uid: 5cd8ef95-3ad8-4503-922b-833ea9fe09dd [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: auth-invalid-token-test-epp-service.e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6.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-invalid-token-test-epp-service.e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:32:24Z' [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-invalid-token-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":"6c4597f8-ba4b-42e2-9466-c0d83aba291d"}: {} [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: '2026-07-28T17:32:24Z' [e2e-llm-inference-service] name: auth-invalid-token-test-kserve-shadow-svc [e2e-llm-inference-service] namespace: e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 [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-invalid-token-test [e2e-llm-inference-service] uid: 6c4597f8-ba4b-42e2-9466-c0d83aba291d [e2e-llm-inference-service] resourceVersion: '29922' [e2e-llm-inference-service] uid: 87f808c3-81a1-47fa-b351-a81d0f3f6003 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: auth-invalid-token-test-inference-pool-ip-bbc77b0f.e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6.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-invalid-token-test-kserve-workload-svc.e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:32:07Z' [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-invalid-token-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":"6c4597f8-ba4b-42e2-9466-c0d83aba291d"}: {} [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: '2026-07-28T17:32:07Z' [e2e-llm-inference-service] name: auth-invalid-token-test-kserve-workload-svc [e2e-llm-inference-service] namespace: e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 [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-invalid-token-test [e2e-llm-inference-service] uid: 6c4597f8-ba4b-42e2-9466-c0d83aba291d [e2e-llm-inference-service] resourceVersion: '29652' [e2e-llm-inference-service] uid: d94ffd4f-b2fe-498f-b188-2066aa7ad656 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: auth-invalid-token-test-kserve-workload-svc.e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6.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-invalid-token-test-kserve-workload-svc.e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 apiVersion: networking.istio.io/v1beta1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:32:07Z' [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-invalid-token-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":"6c4597f8-ba4b-42e2-9466-c0d83aba291d"}: {} [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: '2026-07-28T17:32:07Z' [e2e-llm-inference-service] name: auth-invalid-token-test-kserve-scheduler [e2e-llm-inference-service] namespace: e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 [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-invalid-token-test [e2e-llm-inference-service] uid: 6c4597f8-ba4b-42e2-9466-c0d83aba291d [e2e-llm-inference-service] resourceVersion: '29645' [e2e-llm-inference-service] uid: 5cd8ef95-3ad8-4503-922b-833ea9fe09dd [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: auth-invalid-token-test-epp-service.e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6.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-invalid-token-test-epp-service.e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 apiVersion: networking.istio.io/v1beta1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:32:24Z' [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-invalid-token-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":"6c4597f8-ba4b-42e2-9466-c0d83aba291d"}: {} [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: '2026-07-28T17:32:24Z' [e2e-llm-inference-service] name: auth-invalid-token-test-kserve-shadow-svc [e2e-llm-inference-service] namespace: e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 [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-invalid-token-test [e2e-llm-inference-service] uid: 6c4597f8-ba4b-42e2-9466-c0d83aba291d [e2e-llm-inference-service] resourceVersion: '29922' [e2e-llm-inference-service] uid: 87f808c3-81a1-47fa-b351-a81d0f3f6003 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: auth-invalid-token-test-inference-pool-ip-bbc77b0f.e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6.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-invalid-token-test-kserve-workload-svc.e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 apiVersion: networking.istio.io/v1beta1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:32:07Z' [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-invalid-token-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":"6c4597f8-ba4b-42e2-9466-c0d83aba291d"}: {} [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: '2026-07-28T17:32:07Z' [e2e-llm-inference-service] name: auth-invalid-token-test-kserve-workload-svc [e2e-llm-inference-service] namespace: e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 [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-invalid-token-test [e2e-llm-inference-service] uid: 6c4597f8-ba4b-42e2-9466-c0d83aba291d [e2e-llm-inference-service] resourceVersion: '29652' [e2e-llm-inference-service] uid: d94ffd4f-b2fe-498f-b188-2066aa7ad656 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: auth-invalid-token-test-kserve-workload-svc.e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6.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-invalid-token-test-kserve-workload-svc.e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 apiVersion: networking.istio.io/v1alpha3 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:32:07Z' [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-invalid-token-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":"6c4597f8-ba4b-42e2-9466-c0d83aba291d"}: {} [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: '2026-07-28T17:32:07Z' [e2e-llm-inference-service] name: auth-invalid-token-test-kserve-scheduler [e2e-llm-inference-service] namespace: e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 [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-invalid-token-test [e2e-llm-inference-service] uid: 6c4597f8-ba4b-42e2-9466-c0d83aba291d [e2e-llm-inference-service] resourceVersion: '29645' [e2e-llm-inference-service] uid: 5cd8ef95-3ad8-4503-922b-833ea9fe09dd [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: auth-invalid-token-test-epp-service.e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6.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-invalid-token-test-epp-service.e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 apiVersion: networking.istio.io/v1alpha3 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:32:24Z' [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-invalid-token-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":"6c4597f8-ba4b-42e2-9466-c0d83aba291d"}: {} [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: '2026-07-28T17:32:24Z' [e2e-llm-inference-service] name: auth-invalid-token-test-kserve-shadow-svc [e2e-llm-inference-service] namespace: e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 [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-invalid-token-test [e2e-llm-inference-service] uid: 6c4597f8-ba4b-42e2-9466-c0d83aba291d [e2e-llm-inference-service] resourceVersion: '29922' [e2e-llm-inference-service] uid: 87f808c3-81a1-47fa-b351-a81d0f3f6003 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: auth-invalid-token-test-inference-pool-ip-bbc77b0f.e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6.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-invalid-token-test-kserve-workload-svc.e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 apiVersion: networking.istio.io/v1alpha3 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:32:07Z' [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-invalid-token-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":"6c4597f8-ba4b-42e2-9466-c0d83aba291d"}: {} [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: '2026-07-28T17:32:07Z' [e2e-llm-inference-service] name: auth-invalid-token-test-kserve-workload-svc [e2e-llm-inference-service] namespace: e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 [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-invalid-token-test [e2e-llm-inference-service] uid: 6c4597f8-ba4b-42e2-9466-c0d83aba291d [e2e-llm-inference-service] resourceVersion: '29652' [e2e-llm-inference-service] uid: d94ffd4f-b2fe-498f-b188-2066aa7ad656 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: auth-invalid-token-test-kserve-workload-svc.e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6.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-invalid-token-test-kserve-workload-svc.e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 apiVersion: inference.networking.x-k8s.io/v1alpha2 [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:32:06Z' [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-invalid-token-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":"6c4597f8-ba4b-42e2-9466-c0d83aba291d"}: {} [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: '2026-07-28T17:32:06Z' [e2e-llm-inference-service] name: auth-invalid-token-test-inference-pool [e2e-llm-inference-service] namespace: e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 [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-invalid-token-test [e2e-llm-inference-service] uid: 6c4597f8-ba4b-42e2-9466-c0d83aba291d [e2e-llm-inference-service] resourceVersion: '29623' [e2e-llm-inference-service] uid: 4511f286-9fda-4bc1-9367-15cae063a431 [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-invalid-token-test-epp-service [e2e-llm-inference-service] portNumber: 9002 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] app.kubernetes.io/name: auth-invalid-token-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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: auth-invalid-token-test-kserve-router-scheduler-6d845bb7dck9vvf [e2e-llm-inference-service] namespace: e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 [e2e-llm-inference-service] creationTimestamp: '2026-07-28T17:46:51Z' [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-invalid-token-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 6d845bb7dc [e2e-llm-inference-service] timestamp: '2026-07-28T17:46:31Z' [e2e-llm-inference-service] window: 16.475s [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] usage: [e2e-llm-inference-service] cpu: 689408n [e2e-llm-inference-service] memory: 21724Ki [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:517 ⏭️ Skipping deletion of auth-invalid-token-test due to test failure (SKIP_DELETION_ON_FAILURE=True) [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:logging.py:48 [test_llm_auth_invalid_token_rejected] [2026-07-28T17:46:51.345603] end - ❌ 902.351s: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'RouterReady', 'Ready', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-28T17:32:24Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-28T17:32:24Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T17:32:24Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-28T17:32:07Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T17:32:24Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T17:32:39Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T17:32:39Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T17:32:24Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] ---------------------------- Captured log teardown ----------------------------- [e2e-llm-inference-service] INFO e2e.llmisvc.conftest:conftest.py:168 Skipping deletion of namespace e2e-test-llm-auth-invalid-token-rejected-e7cfa2c6 (SKIP_DELETION_ON_FAILURE) [e2e-llm-inference-service] _ test_llm_autoscaling_hpa_deployment[router-managed-workload-llmd-simulator-no-replicas-prometheus-scrape-scaling-hpa] _ [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-llmd-simulator-no-replicas', 'prometheus-scrape', 'scaling-hpa'], prom... {'name': 'scaling-hpa-autoscale-hpa-deplo-347a3180'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m') [e2e-llm-inference-service] [e2e-llm-inference-service] @pytest.mark.autoscaling_hpa [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-llmd-simulator-no-replicas", [e2e-llm-inference-service] "prometheus-scrape", [e2e-llm-inference-service] "scaling-hpa", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="autoscale-hpa-deploy", [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] ], [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_autoscaling_hpa_deployment(test_case: TestCase): [e2e-llm-inference-service] """HPA + Deployment: HPA exists with WVA annotations; pods scale up under load.""" [e2e-llm-inference-service] inject_k8s_proxy() [e2e-llm-inference-service] kserve_client = _new_kserve_client() [e2e-llm-inference-service] service_name = test_case.llm_service.metadata.name [e2e-llm-inference-service] ns = test_case.namespace [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] > _create_and_wait(kserve_client, test_case) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_autoscaling_wva.py:542: [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-no-replicas', 'prometheus-scrape', 'scaling-hpa'], prom... {'name': 'scaling-hpa-autoscale-hpa-deplo-347a3180'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m') [e2e-llm-inference-service] [e2e-llm-inference-service] def _create_and_wait(kserve_client, test_case): [e2e-llm-inference-service] """Create LLMISVC and wait for it to be ready.""" [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_autoscaling_wva.py:482: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] args = (, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kin...e-hpa-4c186bcf'}, [e2e-llm-inference-service] {'name': 'scaling-hpa-autoscale-hpa-deplo-347a3180'}]}, [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 = '2026-07-28T17:50:27.450975', start_time = 1785261027.4512563 [e2e-llm-inference-service] duration = 900.6745746135712, timestamp_end = '2026-07-28T18:05:28.125835' [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....toscale-hpa-4c186bcf'}, [e2e-llm-inference-service] {'name': 'scaling-hpa-autoscale-hpa-deplo-347a3180'}]}, [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] all_condition_types = 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] ctype = condition.get("type") [e2e-llm-inference-service] all_condition_types.add(ctype) [e2e-llm-inference-service] if condition.get("status") == "True": [e2e-llm-inference-service] got_true_conditions.add(ctype) [e2e-llm-inference-service] [e2e-llm-inference-service] # When TokenizerReady is present, it must also be True [e2e-llm-inference-service] if "TokenizerReady" in all_condition_types: [e2e-llm-inference-service] expected_true_conditions.add("TokenizerReady") [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:1376: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] assertion_fn = .assert_llm_isvc_ready at 0x7fa142b81b20> [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:1387: [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] all_condition_types = 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] ctype = condition.get("type") [e2e-llm-inference-service] all_condition_types.add(ctype) [e2e-llm-inference-service] if condition.get("status") == "True": [e2e-llm-inference-service] got_true_conditions.add(ctype) [e2e-llm-inference-service] [e2e-llm-inference-service] # When TokenizerReady is present, it must also be True [e2e-llm-inference-service] if "TokenizerReady" in all_condition_types: [e2e-llm-inference-service] expected_true_conditions.add("TokenizerReady") [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 {'RouterReady', 'Ready', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-28T17:51:06Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-28T17:51:06Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T17:51:06Z', 'severity': 'Info', 'status': 'True', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-28T17:50:53Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T17:51:25Z', 'message': 'the HPA was unable to compute the replica count: unable to get external metric e2e-test-llm-autoscaling-hpa-deployment-9ba6f3f4/wva_desired_replicas/&LabelSelector{MatchLabels:map[string]string{variant_name: autoscale-hpa-deploy-kserve-hpa,},MatchExpressions:[]LabelSelectorRequirement{},}: unable to fetch metrics from external metrics API: scaledObject name is not specified', 'reason': 'FailedGetExternalMetric', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T17:51:25Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T17:51:08Z', 'message': 'the HPA was unable to compute the replica count: unable to get external metric e2e-test-llm-autoscaling-hpa-deployment-9ba6f3f4/wva_desired_replicas/&LabelSelector{MatchLabels:map[string]string{variant_name: autoscale-hpa-deploy-kserve-hpa,},MatchExpressions:[]LabelSelectorRequirement{},}: unable to fetch metrics from external metrics API: scaledObject name is not specified', 'reason': 'FailedGetExternalMetric', 'severity': 'Info', 'status': 'False', 'type': 'ScalingReady'}, {'lastTransitionTime': '2026-07-28T17:51:25Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T17:51:08Z', 'message': 'the HPA was unable to compute the replica count: unable to get external metric e2e-test-llm-autoscaling-hpa-deployment-9ba6f3f4/wva_desired_replicas/&LabelSelector{MatchLabels:map[string]string{variant_name: autoscale-hpa-deploy-kserve-hpa,},MatchExpressions:[]LabelSelectorRequirement{},}: unable to fetch metrics from external metrics API: scaledObject name is not specified', 'reason': 'FailedGetExternalMetric', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:1371: AssertionError [e2e-llm-inference-service] ------------------------------ Captured log setup ------------------------------ [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1769 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.namespace:namespace.py:82 Created test namespace e2e-test-llm-autoscaling-hpa-deployment-9ba6f3f4 [e2e-llm-inference-service] INFO e2e.llmisvc.namespace:namespace.py:131 Copied secret seaweedfs-s3-creds from kserve-ci-e2e-test to e2e-test-llm-autoscaling-hpa-deployment-9ba6f3f4 [e2e-llm-inference-service] INFO e2e.llmisvc.namespace:namespace.py:131 Copied secret storage-config from kserve-ci-e2e-test to e2e-test-llm-autoscaling-hpa-deployment-9ba6f3f4 [e2e-llm-inference-service] INFO e2e.llmisvc.namespace:namespace.py:178 Patched default SA in e2e-test-llm-autoscaling-hpa-deployment-9ba6f3f4 with secret seaweedfs-s3-creds [e2e-llm-inference-service] INFO e2e.llmisvc.namespace:namespace.py:162 ConfigMap odh-kserve-custom-ca-bundle already exists in e2e-test-llm-autoscaling-hpa-deployment-9ba6f3f4 [e2e-llm-inference-service] INFO e2e.llmisvc.namespace:namespace.py:159 Copied ConfigMap odh-trusted-ca-bundle from kserve-ci-e2e-test to e2e-test-llm-autoscaling-hpa-deployment-9ba6f3f4 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1769 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1718 Checking LLMInferenceServiceConfig router-managed-autoscale-hpa-de-ec1dce8b in namespace e2e-test-llm-autoscaling-hpa-deployment-9ba6f3f4 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1744 Resource not found, creating LLMInferenceServiceConfig router-managed-autoscale-hpa-de-ec1dce8b [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1754 ✓ Successfully created LLMInferenceServiceConfig router-managed-autoscale-hpa-de-ec1dce8b [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1718 Checking LLMInferenceServiceConfig workload-llmd-simulator-no-repl-38916baa in namespace e2e-test-llm-autoscaling-hpa-deployment-9ba6f3f4 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1744 Resource not found, creating LLMInferenceServiceConfig workload-llmd-simulator-no-repl-38916baa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1754 ✓ Successfully created LLMInferenceServiceConfig workload-llmd-simulator-no-repl-38916baa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1718 Checking LLMInferenceServiceConfig prometheus-scrape-autoscale-hpa-4c186bcf in namespace e2e-test-llm-autoscaling-hpa-deployment-9ba6f3f4 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1744 Resource not found, creating LLMInferenceServiceConfig prometheus-scrape-autoscale-hpa-4c186bcf [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1754 ✓ Successfully created LLMInferenceServiceConfig prometheus-scrape-autoscale-hpa-4c186bcf [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1718 Checking LLMInferenceServiceConfig scaling-hpa-autoscale-hpa-deplo-347a3180 in namespace e2e-test-llm-autoscaling-hpa-deployment-9ba6f3f4 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1744 Resource not found, creating LLMInferenceServiceConfig scaling-hpa-autoscale-hpa-deplo-347a3180 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1754 ✓ Successfully created LLMInferenceServiceConfig scaling-hpa-autoscale-hpa-deplo-347a3180 [e2e-llm-inference-service] ------------------------------ Captured log call ------------------------------- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [test_llm_autoscaling_hpa_deployment] [2026-07-28T17:50:27.375874] start - args=(), kwargs={'test_case': TestCase(base_refs=['router-managed', 'workload-llmd-simulator-no-replicas', 'prometheus-scrape', 'scaling-hpa'], prompt='KServe is a', service_name='autoscale-hpa-deploy', 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, namespace='e2e-test-llm-autoscaling-hpa-deployment-9ba6f3f4', 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': 'autoscale-hpa-deploy', [e2e-llm-inference-service] 'namespace': 'e2e-test-llm-autoscaling-hpa-deployment-9ba6f3f4', [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-autoscale-hpa-de-ec1dce8b'}, [e2e-llm-inference-service] {'name': 'workload-llmd-simulator-no-repl-38916baa'}, [e2e-llm-inference-service] {'name': 'prometheus-scrape-autoscale-hpa-4c186bcf'}, [e2e-llm-inference-service] {'name': 'scaling-hpa-autoscale-hpa-deplo-347a3180'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m')} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1769 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [create_llmisvc] [2026-07-28T17:50:27.388784] 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': 'autoscale-hpa-deploy', [e2e-llm-inference-service] 'namespace': 'e2e-test-llm-autoscaling-hpa-deployment-9ba6f3f4', [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-autoscale-hpa-de-ec1dce8b'}, [e2e-llm-inference-service] {'name': 'workload-llmd-simulator-no-repl-38916baa'}, [e2e-llm-inference-service] {'name': 'prometheus-scrape-autoscale-hpa-4c186bcf'}, [e2e-llm-inference-service] {'name': 'scaling-hpa-autoscale-hpa-deplo-347a3180'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [create_llmisvc] [2026-07-28T17:50:27.450878] end - ✅ in 0.062s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [wait_for_llm_isvc_ready] [2026-07-28T17:50:27.450975] 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': 'autoscale-hpa-deploy', [e2e-llm-inference-service] 'namespace': 'e2e-test-llm-autoscaling-hpa-deployment-9ba6f3f4', [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-autoscale-hpa-de-ec1dce8b'}, [e2e-llm-inference-service] {'name': 'workload-llmd-simulator-no-repl-38916baa'}, [e2e-llm-inference-service] {'name': 'prometheus-scrape-autoscale-hpa-4c186bcf'}, [e2e-llm-inference-service] {'name': 'scaling-hpa-autoscale-hpa-deplo-347a3180'}]}, [e2e-llm-inference-service] 'status': None}, 900), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1394 Waiting: No conditions found in status [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1394 Waiting: Missing true conditions: {'RouterReady', 'Ready', 'WorkloadsReady'}, expected {'RouterReady', 'Ready', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-28T17:50:53Z', 'message': 'The following HTTPRoutes are not ready: [e2e-test-llm-autoscaling-hpa-deployment-9ba6f3f4/autoscale-hpa-deploy-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': '2026-07-28T17:50:53Z', 'message': 'Inference Pool e2e-test-llm-autoscaling-hpa-deployment-9ba6f3f4/autoscale-hpa-deploy-inference-pool exists but no Gateway controller has accepted it yet', 'reason': 'WaitingForGateway', 'severity': 'Info', 'status': 'False', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T17:50:53Z', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-28T17:50:53Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T17:50:53Z', 'message': 'The following HTTPRoutes are not ready: [e2e-test-llm-autoscaling-hpa-deployment-9ba6f3f4/autoscale-hpa-deploy-kserve-route: "False" (reason "InvalidKind", message "referencing unsupported backendRef: group \\"inference.networking.x-k8s.io\\" kind \\"InferencePool\\"")]', 'reason': 'HTTPRoutesNotReady', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T17:50:53Z', 'message': 'The following HTTPRoutes are not ready: [e2e-test-llm-autoscaling-hpa-deployment-9ba6f3f4/autoscale-hpa-deploy-kserve-route: "False" (reason "InvalidKind", message "referencing unsupported backendRef: group \\"inference.networking.x-k8s.io\\" kind \\"InferencePool\\"")]', 'reason': 'HTTPRoutesNotReady', 'status': 'False', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T17:50:53Z', 'message': 'HPA conditions not yet available', 'reason': 'HPAProgressing', 'severity': 'Info', 'status': 'False', 'type': 'ScalingReady'}, {'lastTransitionTime': '2026-07-28T17:50:53Z', 'message': 'Deployment rollout in progress', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T17:50:53Z', 'reason': 'Progressing', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1394 Waiting: Missing true conditions: {'RouterReady', 'Ready', 'WorkloadsReady'}, expected {'RouterReady', 'Ready', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-28T17:51:06Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-28T17:51:06Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T17:51:06Z', 'severity': 'Info', 'status': 'True', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-28T17:50:53Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T17:51:06Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T17:51:06Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T17:50:53Z', 'message': 'HPA conditions not yet available', 'reason': 'HPAProgressing', 'severity': 'Info', 'status': 'False', 'type': 'ScalingReady'}, {'lastTransitionTime': '2026-07-28T17:51:06Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T17:51:06Z', 'message': 'HPA conditions not yet available', 'reason': 'HPAProgressing', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1394 Waiting: Missing true conditions: {'RouterReady', 'Ready', 'WorkloadsReady'}, expected {'RouterReady', 'Ready', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-28T17:51:06Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-28T17:51:06Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T17:51:06Z', 'severity': 'Info', 'status': 'True', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-28T17:50:53Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T17:51:06Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T17:51:06Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T17:51:08Z', 'message': 'the HPA was unable to compute the replica count: unable to get external metric e2e-test-llm-autoscaling-hpa-deployment-9ba6f3f4/wva_desired_replicas/&LabelSelector{MatchLabels:map[string]string{variant_name: autoscale-hpa-deploy-kserve-hpa,},MatchExpressions:[]LabelSelectorRequirement{},}: unable to fetch metrics from external metrics API: scaledObject name is not specified', 'reason': 'FailedGetExternalMetric', 'severity': 'Info', 'status': 'False', 'type': 'ScalingReady'}, {'lastTransitionTime': '2026-07-28T17:51:06Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T17:51:08Z', 'message': 'the HPA was unable to compute the replica count: unable to get external metric e2e-test-llm-autoscaling-hpa-deployment-9ba6f3f4/wva_desired_replicas/&LabelSelector{MatchLabels:map[string]string{variant_name: autoscale-hpa-deploy-kserve-hpa,},MatchExpressions:[]LabelSelectorRequirement{},}: unable to fetch metrics from external metrics API: scaledObject name is not specified', 'reason': 'FailedGetExternalMetric', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1394 Waiting: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'RouterReady', 'Ready', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-28T17:51:06Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-28T17:51:06Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T17:51:06Z', 'severity': 'Info', 'status': 'True', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-28T17:50:53Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T17:51:25Z', 'message': 'the HPA was unable to compute the replica count: unable to get external metric e2e-test-llm-autoscaling-hpa-deployment-9ba6f3f4/wva_desired_replicas/&LabelSelector{MatchLabels:map[string]string{variant_name: autoscale-hpa-deploy-kserve-hpa,},MatchExpressions:[]LabelSelectorRequirement{},}: unable to fetch metrics from external metrics API: scaledObject name is not specified', 'reason': 'FailedGetExternalMetric', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T17:51:25Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T17:51:08Z', 'message': 'the HPA was unable to compute the replica count: unable to get external metric e2e-test-llm-autoscaling-hpa-deployment-9ba6f3f4/wva_desired_replicas/&LabelSelector{MatchLabels:map[string]string{variant_name: autoscale-hpa-deploy-kserve-hpa,},MatchExpressions:[]LabelSelectorRequirement{},}: unable to fetch metrics from external metrics API: scaledObject name is not specified', 'reason': 'FailedGetExternalMetric', 'severity': 'Info', 'status': 'False', 'type': 'ScalingReady'}, {'lastTransitionTime': '2026-07-28T17:51:25Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T17:51:08Z', 'message': 'the HPA was unable to compute the replica count: unable to get external metric e2e-test-llm-autoscaling-hpa-deployment-9ba6f3f4/wva_desired_replicas/&LabelSelector{MatchLabels:map[string]string{variant_name: autoscale-hpa-deploy-kserve-hpa,},MatchExpressions:[]LabelSelectorRequirement{},}: unable to fetch metrics from external metrics API: scaledObject name is not specified', 'reason': 'FailedGetExternalMetric', '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": "error", "kserve-ci-e2e-test/router-gateway-2-openshift-default": "error", "openshift-ingress/openshift-ai-inference-openshift-default": "1\t{\"running\":{\"startedAt\":\"2026-07-28T17:25:20Z\"}}"} resources={"httproutes": 0, "llminferenceservices": 0, "authpolicies": 0} [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": "error", "kserve-ci-e2e-test/router-gateway-2-openshift-default": "error", "openshift-ingress/openshift-ai-inference-openshift-default": "1\t{\"running\":{\"startedAt\":\"2026-07-28T17:25:20Z\"}}"} resources={"httproutes": 0, "llminferenceservices": 0, "authpolicies": 0} [e2e-llm-inference-service] INFO common.gateway_proxy_istio:gateway_proxy_istio.py:421 Snapshot 8: restarts={"kserve-ci-e2e-test/router-gateway-1-openshift-default": "error", "kserve-ci-e2e-test/router-gateway-2-openshift-default": "error", "openshift-ingress/openshift-ai-inference-openshift-default": "1\t{\"running\":{\"startedAt\":\"2026-07-28T17:25:20Z\"}}"} resources={"httproutes": 0, "llminferenceservices": 0, "authpolicies": 0} [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:test_llm_inference_service.py:1391 Timed out waiting: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'RouterReady', 'Ready', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-28T17:51:06Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-28T17:51:06Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T17:51:06Z', 'severity': 'Info', 'status': 'True', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-28T17:50:53Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T17:51:25Z', 'message': 'the HPA was unable to compute the replica count: unable to get external metric e2e-test-llm-autoscaling-hpa-deployment-9ba6f3f4/wva_desired_replicas/&LabelSelector{MatchLabels:map[string]string{variant_name: autoscale-hpa-deploy-kserve-hpa,},MatchExpressions:[]LabelSelectorRequirement{},}: unable to fetch metrics from external metrics API: scaledObject name is not specified', 'reason': 'FailedGetExternalMetric', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T17:51:25Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T17:51:08Z', 'message': 'the HPA was unable to compute the replica count: unable to get external metric e2e-test-llm-autoscaling-hpa-deployment-9ba6f3f4/wva_desired_replicas/&LabelSelector{MatchLabels:map[string]string{variant_name: autoscale-hpa-deploy-kserve-hpa,},MatchExpressions:[]LabelSelectorRequirement{},}: unable to fetch metrics from external metrics API: scaledObject name is not specified', 'reason': 'FailedGetExternalMetric', 'severity': 'Info', 'status': 'False', 'type': 'ScalingReady'}, {'lastTransitionTime': '2026-07-28T17:51:25Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T17:51:08Z', 'message': 'the HPA was unable to compute the replica count: unable to get external metric e2e-test-llm-autoscaling-hpa-deployment-9ba6f3f4/wva_desired_replicas/&LabelSelector{MatchLabels:map[string]string{variant_name: autoscale-hpa-deploy-kserve-hpa,},MatchExpressions:[]LabelSelectorRequirement{},}: unable to fetch metrics from external metrics API: scaledObject name is not specified', 'reason': 'FailedGetExternalMetric', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:logging.py:48 [wait_for_llm_isvc_ready] [2026-07-28T18:05:28.125835] end - ❌ 900.675s: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'RouterReady', 'Ready', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-28T17:51:06Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-28T17:51:06Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T17:51:06Z', 'severity': 'Info', 'status': 'True', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-28T17:50:53Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T17:51:25Z', 'message': 'the HPA was unable to compute the replica count: unable to get external metric e2e-test-llm-autoscaling-hpa-deployment-9ba6f3f4/wva_desired_replicas/&LabelSelector{MatchLabels:map[string]string{variant_name: autoscale-hpa-deploy-kserve-hpa,},MatchExpressions:[]LabelSelectorRequirement{},}: unable to fetch metrics from external metrics API: scaledObject name is not specified', 'reason': 'FailedGetExternalMetric', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T17:51:25Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T17:51:08Z', 'message': 'the HPA was unable to compute the replica count: unable to get external metric e2e-test-llm-autoscaling-hpa-deployment-9ba6f3f4/wva_desired_replicas/&LabelSelector{MatchLabels:map[string]string{variant_name: autoscale-hpa-deploy-kserve-hpa,},MatchExpressions:[]LabelSelectorRequirement{},}: unable to fetch metrics from external metrics API: scaledObject name is not specified', 'reason': 'FailedGetExternalMetric', 'severity': 'Info', 'status': 'False', 'type': 'ScalingReady'}, {'lastTransitionTime': '2026-07-28T17:51:25Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T17:51:08Z', 'message': 'the HPA was unable to compute the replica count: unable to get external metric e2e-test-llm-autoscaling-hpa-deployment-9ba6f3f4/wva_desired_replicas/&LabelSelector{MatchLabels:map[string]string{variant_name: autoscale-hpa-deploy-kserve-hpa,},MatchExpressions:[]LabelSelectorRequirement{},}: unable to fetch metrics from external metrics API: scaledObject name is not specified', 'reason': 'FailedGetExternalMetric', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [delete_llmisvc] [2026-07-28T18:05:28.125937] 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': 'autoscale-hpa-deploy', [e2e-llm-inference-service] 'namespace': 'e2e-test-llm-autoscaling-hpa-deployment-9ba6f3f4', [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-autoscale-hpa-de-ec1dce8b'}, [e2e-llm-inference-service] {'name': 'workload-llmd-simulator-no-repl-38916baa'}, [e2e-llm-inference-service] {'name': 'prometheus-scrape-autoscale-hpa-4c186bcf'}, [e2e-llm-inference-service] {'name': 'scaling-hpa-autoscale-hpa-deplo-347a3180'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1394 Waiting: 2 pod(s) for autoscale-hpa-deploy still terminating: ['autoscale-hpa-deploy-kserve-66746bd8b9-m8h8f', 'autoscale-hpa-deploy-kserve-router-scheduler-5bbdf87d58-4fpl9'] [e2e-llm-inference-service] assert not ['autoscale-hpa-deploy-kserve-66746bd8b9-m8h8f', 'autoscale-hpa-deploy-kserve-router-scheduler-5bbdf87d58-4fpl9'] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1394 Waiting: 1 pod(s) for autoscale-hpa-deploy still terminating: ['autoscale-hpa-deploy-kserve-router-scheduler-5bbdf87d58-4fpl9'] [e2e-llm-inference-service] assert not ['autoscale-hpa-deploy-kserve-router-scheduler-5bbdf87d58-4fpl9'] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [delete_llmisvc] [2026-07-28T18:05:48.316581] end - ✅ in 20.190s [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:logging.py:48 [test_llm_autoscaling_hpa_deployment] [2026-07-28T18:05:48.316714] end - ❌ 920.940s: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'RouterReady', 'Ready', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-28T17:51:06Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-28T17:51:06Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T17:51:06Z', 'severity': 'Info', 'status': 'True', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-28T17:50:53Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T17:51:25Z', 'message': 'the HPA was unable to compute the replica count: unable to get external metric e2e-test-llm-autoscaling-hpa-deployment-9ba6f3f4/wva_desired_replicas/&LabelSelector{MatchLabels:map[string]string{variant_name: autoscale-hpa-deploy-kserve-hpa,},MatchExpressions:[]LabelSelectorRequirement{},}: unable to fetch metrics from external metrics API: scaledObject name is not specified', 'reason': 'FailedGetExternalMetric', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T17:51:25Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T17:51:08Z', 'message': 'the HPA was unable to compute the replica count: unable to get external metric e2e-test-llm-autoscaling-hpa-deployment-9ba6f3f4/wva_desired_replicas/&LabelSelector{MatchLabels:map[string]string{variant_name: autoscale-hpa-deploy-kserve-hpa,},MatchExpressions:[]LabelSelectorRequirement{},}: unable to fetch metrics from external metrics API: scaledObject name is not specified', 'reason': 'FailedGetExternalMetric', 'severity': 'Info', 'status': 'False', 'type': 'ScalingReady'}, {'lastTransitionTime': '2026-07-28T17:51:25Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T17:51:08Z', 'message': 'the HPA was unable to compute the replica count: unable to get external metric e2e-test-llm-autoscaling-hpa-deployment-9ba6f3f4/wva_desired_replicas/&LabelSelector{MatchLabels:map[string]string{variant_name: autoscale-hpa-deploy-kserve-hpa,},MatchExpressions:[]LabelSelectorRequirement{},}: unable to fetch metrics from external metrics API: scaledObject name is not specified', 'reason': 'FailedGetExternalMetric', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] ---------------------------- Captured log teardown ----------------------------- [e2e-llm-inference-service] INFO e2e.llmisvc.conftest:conftest.py:168 Skipping deletion of namespace e2e-test-llm-autoscaling-hpa-deployment-9ba6f3f4 (SKIP_DELETION_ON_FAILURE) [e2e-llm-inference-service] _ test_llm_autoscaling_keda_deployment[router-managed-workload-llmd-simulator-no-replicas-prometheus-scrape-scaling-keda] _ [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-llmd-simulator-no-replicas', 'prometheus-scrape', 'scaling-keda'], pro... {'name': 'scaling-keda-autoscale-keda-dep-1ac84077'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m') [e2e-llm-inference-service] [e2e-llm-inference-service] @pytest.mark.autoscaling_keda [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-llmd-simulator-no-replicas", [e2e-llm-inference-service] "prometheus-scrape", [e2e-llm-inference-service] "scaling-keda", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="autoscale-keda-deploy", [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] ], [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_autoscaling_keda_deployment(test_case: TestCase): [e2e-llm-inference-service] """KEDA + Deployment: ScaledObject exists with WVA annotations; no HPA; pods scale up under load.""" [e2e-llm-inference-service] inject_k8s_proxy() [e2e-llm-inference-service] kserve_client = _new_kserve_client() [e2e-llm-inference-service] service_name = test_case.llm_service.metadata.name [e2e-llm-inference-service] ns = test_case.namespace [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] > _create_and_wait(kserve_client, test_case) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_autoscaling_wva.py:606: [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-no-replicas', 'prometheus-scrape', 'scaling-keda'], pro... {'name': 'scaling-keda-autoscale-keda-dep-1ac84077'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m') [e2e-llm-inference-service] [e2e-llm-inference-service] def _create_and_wait(kserve_client, test_case): [e2e-llm-inference-service] """Create LLMISVC and wait for it to be ready.""" [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_autoscaling_wva.py:482: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] args = (, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kin...e-ked-101f2a9d'}, [e2e-llm-inference-service] {'name': 'scaling-keda-autoscale-keda-dep-1ac84077'}]}, [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 = '2026-07-28T18:05:49.048869', start_time = 1785261949.0493386 [e2e-llm-inference-service] duration = 900.5909516811371, timestamp_end = '2026-07-28T18:20:49.640304' [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....toscale-ked-101f2a9d'}, [e2e-llm-inference-service] {'name': 'scaling-keda-autoscale-keda-dep-1ac84077'}]}, [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] all_condition_types = 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] ctype = condition.get("type") [e2e-llm-inference-service] all_condition_types.add(ctype) [e2e-llm-inference-service] if condition.get("status") == "True": [e2e-llm-inference-service] got_true_conditions.add(ctype) [e2e-llm-inference-service] [e2e-llm-inference-service] # When TokenizerReady is present, it must also be True [e2e-llm-inference-service] if "TokenizerReady" in all_condition_types: [e2e-llm-inference-service] expected_true_conditions.add("TokenizerReady") [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:1376: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] assertion_fn = .assert_llm_isvc_ready at 0x7fa142b80fe0> [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:1387: [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] all_condition_types = 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] ctype = condition.get("type") [e2e-llm-inference-service] all_condition_types.add(ctype) [e2e-llm-inference-service] if condition.get("status") == "True": [e2e-llm-inference-service] got_true_conditions.add(ctype) [e2e-llm-inference-service] [e2e-llm-inference-service] # When TokenizerReady is present, it must also be True [e2e-llm-inference-service] if "TokenizerReady" in all_condition_types: [e2e-llm-inference-service] expected_true_conditions.add("TokenizerReady") [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 {'RouterReady', 'Ready', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-28T18:06:07Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-28T18:06:07Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T18:06:07Z', 'severity': 'Info', 'status': 'True', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:05:55Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T18:06:35Z', 'message': 'failed to ensure HPA is correctly created for ScaledObject: error parsing prometheus metadata: error parsing prometheus metadata: bearer token= is required when bearer auth is enabled', 'reason': 'ScaledObjectCheckFailed', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T18:06:35Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T18:06:07Z', 'message': 'failed to ensure HPA is correctly created for ScaledObject: error parsing prometheus metadata: error parsing prometheus metadata: bearer token= is required when bearer auth is enabled', 'reason': 'ScaledObjectCheckFailed', 'severity': 'Info', 'status': 'False', 'type': 'ScalingReady'}, {'lastTransitionTime': '2026-07-28T18:06:35Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:06:07Z', 'message': 'failed to ensure HPA is correctly created for ScaledObject: error parsing prometheus metadata: error parsing prometheus metadata: bearer token= is required when bearer auth is enabled', 'reason': 'ScaledObjectCheckFailed', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:1371: AssertionError [e2e-llm-inference-service] ------------------------------ Captured log setup ------------------------------ [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1769 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.namespace:namespace.py:82 Created test namespace e2e-test-llm-autoscaling-keda-deployment-b2150d0b [e2e-llm-inference-service] INFO e2e.llmisvc.namespace:namespace.py:131 Copied secret seaweedfs-s3-creds from kserve-ci-e2e-test to e2e-test-llm-autoscaling-keda-deployment-b2150d0b [e2e-llm-inference-service] INFO e2e.llmisvc.namespace:namespace.py:131 Copied secret storage-config from kserve-ci-e2e-test to e2e-test-llm-autoscaling-keda-deployment-b2150d0b [e2e-llm-inference-service] INFO e2e.llmisvc.namespace:namespace.py:178 Patched default SA in e2e-test-llm-autoscaling-keda-deployment-b2150d0b with secret seaweedfs-s3-creds [e2e-llm-inference-service] INFO e2e.llmisvc.namespace:namespace.py:162 ConfigMap odh-kserve-custom-ca-bundle already exists in e2e-test-llm-autoscaling-keda-deployment-b2150d0b [e2e-llm-inference-service] INFO e2e.llmisvc.namespace:namespace.py:159 Copied ConfigMap odh-trusted-ca-bundle from kserve-ci-e2e-test to e2e-test-llm-autoscaling-keda-deployment-b2150d0b [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1769 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1718 Checking LLMInferenceServiceConfig router-managed-autoscale-keda-d-27e06c40 in namespace e2e-test-llm-autoscaling-keda-deployment-b2150d0b [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1744 Resource not found, creating LLMInferenceServiceConfig router-managed-autoscale-keda-d-27e06c40 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1754 ✓ Successfully created LLMInferenceServiceConfig router-managed-autoscale-keda-d-27e06c40 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1718 Checking LLMInferenceServiceConfig workload-llmd-simulator-no-repl-da49e827 in namespace e2e-test-llm-autoscaling-keda-deployment-b2150d0b [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1744 Resource not found, creating LLMInferenceServiceConfig workload-llmd-simulator-no-repl-da49e827 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1754 ✓ Successfully created LLMInferenceServiceConfig workload-llmd-simulator-no-repl-da49e827 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1718 Checking LLMInferenceServiceConfig prometheus-scrape-autoscale-ked-101f2a9d in namespace e2e-test-llm-autoscaling-keda-deployment-b2150d0b [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1744 Resource not found, creating LLMInferenceServiceConfig prometheus-scrape-autoscale-ked-101f2a9d [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1754 ✓ Successfully created LLMInferenceServiceConfig prometheus-scrape-autoscale-ked-101f2a9d [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1718 Checking LLMInferenceServiceConfig scaling-keda-autoscale-keda-dep-1ac84077 in namespace e2e-test-llm-autoscaling-keda-deployment-b2150d0b [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1744 Resource not found, creating LLMInferenceServiceConfig scaling-keda-autoscale-keda-dep-1ac84077 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1754 ✓ Successfully created LLMInferenceServiceConfig scaling-keda-autoscale-keda-dep-1ac84077 [e2e-llm-inference-service] ------------------------------ Captured log call ------------------------------- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [test_llm_autoscaling_keda_deployment] [2026-07-28T18:05:48.870972] start - args=(), kwargs={'test_case': TestCase(base_refs=['router-managed', 'workload-llmd-simulator-no-replicas', 'prometheus-scrape', 'scaling-keda'], prompt='KServe is a', service_name='autoscale-keda-deploy', 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, namespace='e2e-test-llm-autoscaling-keda-deployment-b2150d0b', 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': 'autoscale-keda-deploy', [e2e-llm-inference-service] 'namespace': 'e2e-test-llm-autoscaling-keda-deployment-b2150d0b', [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-autoscale-keda-d-27e06c40'}, [e2e-llm-inference-service] {'name': 'workload-llmd-simulator-no-repl-da49e827'}, [e2e-llm-inference-service] {'name': 'prometheus-scrape-autoscale-ked-101f2a9d'}, [e2e-llm-inference-service] {'name': 'scaling-keda-autoscale-keda-dep-1ac84077'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m')} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1769 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [create_llmisvc] [2026-07-28T18:05:48.883320] 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': 'autoscale-keda-deploy', [e2e-llm-inference-service] 'namespace': 'e2e-test-llm-autoscaling-keda-deployment-b2150d0b', [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-autoscale-keda-d-27e06c40'}, [e2e-llm-inference-service] {'name': 'workload-llmd-simulator-no-repl-da49e827'}, [e2e-llm-inference-service] {'name': 'prometheus-scrape-autoscale-ked-101f2a9d'}, [e2e-llm-inference-service] {'name': 'scaling-keda-autoscale-keda-dep-1ac84077'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [create_llmisvc] [2026-07-28T18:05:49.048666] end - ✅ in 0.165s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [wait_for_llm_isvc_ready] [2026-07-28T18:05:49.048869] 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': 'autoscale-keda-deploy', [e2e-llm-inference-service] 'namespace': 'e2e-test-llm-autoscaling-keda-deployment-b2150d0b', [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-autoscale-keda-d-27e06c40'}, [e2e-llm-inference-service] {'name': 'workload-llmd-simulator-no-repl-da49e827'}, [e2e-llm-inference-service] {'name': 'prometheus-scrape-autoscale-ked-101f2a9d'}, [e2e-llm-inference-service] {'name': 'scaling-keda-autoscale-keda-dep-1ac84077'}]}, [e2e-llm-inference-service] 'status': None}, 900), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1394 Waiting: No conditions found in status [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1394 Waiting: Missing true conditions: {'RouterReady', 'Ready', 'WorkloadsReady'}, expected {'RouterReady', 'Ready', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-28T18:05:55Z', 'message': 'The following HTTPRoutes are not ready: [e2e-test-llm-autoscaling-keda-deployment-b2150d0b/autoscale-keda-deploy-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': '2026-07-28T18:05:55Z', 'message': 'Inference Pool e2e-test-llm-autoscaling-keda-deployment-b2150d0b/autoscale-keda-deploy-inference-pool exists but no Gateway controller has accepted it yet', 'reason': 'WaitingForGateway', 'severity': 'Info', 'status': 'False', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T18:05:55Z', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:05:55Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T18:05:55Z', 'message': 'The following HTTPRoutes are not ready: [e2e-test-llm-autoscaling-keda-deployment-b2150d0b/autoscale-keda-deploy-kserve-route: "False" (reason "InvalidKind", message "referencing unsupported backendRef: group \\"inference.networking.x-k8s.io\\" kind \\"InferencePool\\"")]', 'reason': 'HTTPRoutesNotReady', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T18:05:55Z', 'message': 'The following HTTPRoutes are not ready: [e2e-test-llm-autoscaling-keda-deployment-b2150d0b/autoscale-keda-deploy-kserve-route: "False" (reason "InvalidKind", message "referencing unsupported backendRef: group \\"inference.networking.x-k8s.io\\" kind \\"InferencePool\\"")]', 'reason': 'HTTPRoutesNotReady', 'status': 'False', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T18:05:55Z', 'message': 'ScaledObject not yet visible in cache', 'reason': 'ScaledObjectProgressing', 'severity': 'Info', 'status': 'False', 'type': 'ScalingReady'}, {'lastTransitionTime': '2026-07-28T18:05:55Z', 'message': 'Deployment rollout in progress', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:05:55Z', 'reason': 'Progressing', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1394 Waiting: Missing true conditions: {'RouterReady', 'Ready', 'WorkloadsReady'}, expected {'RouterReady', 'Ready', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-28T18:06:07Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-28T18:06:07Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T18:06:07Z', 'severity': 'Info', 'status': 'True', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:05:55Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T18:06:07Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T18:06:07Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T18:06:07Z', 'message': 'failed to ensure HPA is correctly created for ScaledObject: error parsing prometheus metadata: error parsing prometheus metadata: bearer token= is required when bearer auth is enabled', 'reason': 'ScaledObjectCheckFailed', 'severity': 'Info', 'status': 'False', 'type': 'ScalingReady'}, {'lastTransitionTime': '2026-07-28T18:06:07Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:06:07Z', 'message': 'failed to ensure HPA is correctly created for ScaledObject: error parsing prometheus metadata: error parsing prometheus metadata: bearer token= is required when bearer auth is enabled', 'reason': 'ScaledObjectCheckFailed', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1394 Waiting: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'RouterReady', 'Ready', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-28T18:06:07Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-28T18:06:07Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T18:06:07Z', 'severity': 'Info', 'status': 'True', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:05:55Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T18:06:35Z', 'message': 'failed to ensure HPA is correctly created for ScaledObject: error parsing prometheus metadata: error parsing prometheus metadata: bearer token= is required when bearer auth is enabled', 'reason': 'ScaledObjectCheckFailed', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T18:06:35Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T18:06:07Z', 'message': 'failed to ensure HPA is correctly created for ScaledObject: error parsing prometheus metadata: error parsing prometheus metadata: bearer token= is required when bearer auth is enabled', 'reason': 'ScaledObjectCheckFailed', 'severity': 'Info', 'status': 'False', 'type': 'ScalingReady'}, {'lastTransitionTime': '2026-07-28T18:06:35Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:06:07Z', 'message': 'failed to ensure HPA is correctly created for ScaledObject: error parsing prometheus metadata: error parsing prometheus metadata: bearer token= is required when bearer auth is enabled', 'reason': 'ScaledObjectCheckFailed', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO common.gateway_proxy_istio:gateway_proxy_istio.py:421 Snapshot 9: restarts={"kserve-ci-e2e-test/router-gateway-1-openshift-default": "error", "kserve-ci-e2e-test/router-gateway-2-openshift-default": "error", "openshift-ingress/openshift-ai-inference-openshift-default": "1\t{\"running\":{\"startedAt\":\"2026-07-28T17:25:20Z\"}}"} resources={"httproutes": 0, "llminferenceservices": 0, "authpolicies": 0} [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": "error", "kserve-ci-e2e-test/router-gateway-2-openshift-default": "error", "openshift-ingress/openshift-ai-inference-openshift-default": "1\t{\"running\":{\"startedAt\":\"2026-07-28T17:25:20Z\"}}"} resources={"httproutes": 0, "llminferenceservices": 0, "authpolicies": 0} [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": "error", "kserve-ci-e2e-test/router-gateway-2-openshift-default": "error", "openshift-ingress/openshift-ai-inference-openshift-default": "1\t{\"running\":{\"startedAt\":\"2026-07-28T17:25:20Z\"}}"} resources={"httproutes": 0, "llminferenceservices": 0, "authpolicies": 0} [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:test_llm_inference_service.py:1391 Timed out waiting: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'RouterReady', 'Ready', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-28T18:06:07Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-28T18:06:07Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T18:06:07Z', 'severity': 'Info', 'status': 'True', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:05:55Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T18:06:35Z', 'message': 'failed to ensure HPA is correctly created for ScaledObject: error parsing prometheus metadata: error parsing prometheus metadata: bearer token= is required when bearer auth is enabled', 'reason': 'ScaledObjectCheckFailed', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T18:06:35Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T18:06:07Z', 'message': 'failed to ensure HPA is correctly created for ScaledObject: error parsing prometheus metadata: error parsing prometheus metadata: bearer token= is required when bearer auth is enabled', 'reason': 'ScaledObjectCheckFailed', 'severity': 'Info', 'status': 'False', 'type': 'ScalingReady'}, {'lastTransitionTime': '2026-07-28T18:06:35Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:06:07Z', 'message': 'failed to ensure HPA is correctly created for ScaledObject: error parsing prometheus metadata: error parsing prometheus metadata: bearer token= is required when bearer auth is enabled', 'reason': 'ScaledObjectCheckFailed', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:logging.py:48 [wait_for_llm_isvc_ready] [2026-07-28T18:20:49.640304] end - ❌ 900.591s: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'RouterReady', 'Ready', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-28T18:06:07Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-28T18:06:07Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T18:06:07Z', 'severity': 'Info', 'status': 'True', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:05:55Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T18:06:35Z', 'message': 'failed to ensure HPA is correctly created for ScaledObject: error parsing prometheus metadata: error parsing prometheus metadata: bearer token= is required when bearer auth is enabled', 'reason': 'ScaledObjectCheckFailed', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T18:06:35Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T18:06:07Z', 'message': 'failed to ensure HPA is correctly created for ScaledObject: error parsing prometheus metadata: error parsing prometheus metadata: bearer token= is required when bearer auth is enabled', 'reason': 'ScaledObjectCheckFailed', 'severity': 'Info', 'status': 'False', 'type': 'ScalingReady'}, {'lastTransitionTime': '2026-07-28T18:06:35Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:06:07Z', 'message': 'failed to ensure HPA is correctly created for ScaledObject: error parsing prometheus metadata: error parsing prometheus metadata: bearer token= is required when bearer auth is enabled', 'reason': 'ScaledObjectCheckFailed', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [delete_llmisvc] [2026-07-28T18:20:49.640395] 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': 'autoscale-keda-deploy', [e2e-llm-inference-service] 'namespace': 'e2e-test-llm-autoscaling-keda-deployment-b2150d0b', [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-autoscale-keda-d-27e06c40'}, [e2e-llm-inference-service] {'name': 'workload-llmd-simulator-no-repl-da49e827'}, [e2e-llm-inference-service] {'name': 'prometheus-scrape-autoscale-ked-101f2a9d'}, [e2e-llm-inference-service] {'name': 'scaling-keda-autoscale-keda-dep-1ac84077'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1394 Waiting: 2 pod(s) for autoscale-keda-deploy still terminating: ['autoscale-keda-deploy-kserve-77fc6d7cf9-j5886', 'autoscale-keda-deploy-kserve-router-scheduler-79d6bcd899-6p9kd'] [e2e-llm-inference-service] assert not ['autoscale-keda-deploy-kserve-77fc6d7cf9-j5886', 'autoscale-keda-deploy-kserve-router-scheduler-79d6bcd899-6p9kd'] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1394 Waiting: 1 pod(s) for autoscale-keda-deploy still terminating: ['autoscale-keda-deploy-kserve-router-scheduler-79d6bcd899-6p9kd'] [e2e-llm-inference-service] assert not ['autoscale-keda-deploy-kserve-router-scheduler-79d6bcd899-6p9kd'] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [delete_llmisvc] [2026-07-28T18:21:14.856356] end - ✅ in 25.215s [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:logging.py:48 [test_llm_autoscaling_keda_deployment] [2026-07-28T18:21:14.856496] end - ❌ 925.985s: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'RouterReady', 'Ready', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-28T18:06:07Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-28T18:06:07Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T18:06:07Z', 'severity': 'Info', 'status': 'True', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:05:55Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T18:06:35Z', 'message': 'failed to ensure HPA is correctly created for ScaledObject: error parsing prometheus metadata: error parsing prometheus metadata: bearer token= is required when bearer auth is enabled', 'reason': 'ScaledObjectCheckFailed', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T18:06:35Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T18:06:07Z', 'message': 'failed to ensure HPA is correctly created for ScaledObject: error parsing prometheus metadata: error parsing prometheus metadata: bearer token= is required when bearer auth is enabled', 'reason': 'ScaledObjectCheckFailed', 'severity': 'Info', 'status': 'False', 'type': 'ScalingReady'}, {'lastTransitionTime': '2026-07-28T18:06:35Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:06:07Z', 'message': 'failed to ensure HPA is correctly created for ScaledObject: error parsing prometheus metadata: error parsing prometheus metadata: bearer token= is required when bearer auth is enabled', 'reason': 'ScaledObjectCheckFailed', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] ---------------------------- Captured log teardown ----------------------------- [e2e-llm-inference-service] INFO e2e.llmisvc.conftest:conftest.py:168 Skipping deletion of namespace e2e-test-llm-autoscaling-keda-deployment-b2150d0b (SKIP_DELETION_ON_FAILURE) [e2e-llm-inference-service] _____ test_llm_inference_service[router-managed-workload-pd-cpu-model-pvc] _____ [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-pd-cpu', 'model-pvc'], prompt='KServe is a', service_name='llmisvc-mod... {'name': 'model-pvc-llmisvc-model-pvc-rou-49c1f027'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m') [e2e-llm-inference-service] [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-gateway-1", [e2e-llm-inference-service] before_test=[ [e2e-llm-inference-service] lambda tc: create_router_resources( [e2e-llm-inference-service] gateways=[ [e2e-llm-inference-service] make_router_gateway( [e2e-llm-inference-service] "router-gateway-1", [e2e-llm-inference-service] tc.namespace, [e2e-llm-inference-service] ), [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.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-gateway-1", [e2e-llm-inference-service] before_test=[ [e2e-llm-inference-service] lambda tc: create_router_resources( [e2e-llm-inference-service] gateways=[ [e2e-llm-inference-service] make_router_gateway( [e2e-llm-inference-service] "router-gateway-1", [e2e-llm-inference-service] tc.namespace, [e2e-llm-inference-service] ), [e2e-llm-inference-service] ], [e2e-llm-inference-service] routes=[ [e2e-llm-inference-service] make_router_main_route( [e2e-llm-inference-service] "router-route-1", [e2e-llm-inference-service] tc.namespace, [e2e-llm-inference-service] "router-gateway-1", [e2e-llm-inference-service] "router-with-refs-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] make_router_health_route( [e2e-llm-inference-service] "router-route-2", [e2e-llm-inference-service] tc.namespace, [e2e-llm-inference-service] "router-gateway-1", [e2e-llm-inference-service] "router-with-refs-test", [e2e-llm-inference-service] ), [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.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-gateway-2", [e2e-llm-inference-service] before_test=[ [e2e-llm-inference-service] lambda tc: create_router_resources( [e2e-llm-inference-service] gateways=[ [e2e-llm-inference-service] make_router_gateway( [e2e-llm-inference-service] "router-gateway-2", [e2e-llm-inference-service] tc.namespace, [e2e-llm-inference-service] ), [e2e-llm-inference-service] ], [e2e-llm-inference-service] routes=[ [e2e-llm-inference-service] make_router_main_route( [e2e-llm-inference-service] "router-route-3", [e2e-llm-inference-service] tc.namespace, [e2e-llm-inference-service] "router-gateway-2", [e2e-llm-inference-service] "router-with-refs-pd-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] make_router_health_route( [e2e-llm-inference-service] "router-route-4", [e2e-llm-inference-service] tc.namespace, [e2e-llm-inference-service] "router-gateway-2", [e2e-llm-inference-service] "router-with-refs-pd-test", [e2e-llm-inference-service] ), [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.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=[ [e2e-llm-inference-service] lambda tc: create_scheduler_configmap(namespace=tc.namespace) [e2e-llm-inference-service] ], [e2e-llm-inference-service] after_test=[ [e2e-llm-inference-service] lambda tc: delete_scheduler_configmap(namespace=tc.namespace) [e2e-llm-inference-service] ], [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] # Standalone tokenizer — clean path: token-producer in inline config [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-tokenizer-kvcache", [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="tokenizer-clean-path-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] # Standalone tokenizer — migration path: legacy precise-prefix-cache-scorer [e2e-llm-inference-service] # triggers auto-provisioned tokenizer without explicit tokenizer:{} field [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="tokenizer-migration-path-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: "publishers/{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: "publishers/{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: "publishers/{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: "publishers/{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="publishers/{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] "publishers/{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: "publishers/{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] "publishers/{namespace}/models/facebook/opt-125m", [e2e-llm-inference-service] "lora-adapter-1", [e2e-llm-inference-service] "publishers/{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: "publishers/{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=[lambda tc: ensure_pvc_with_model(namespace=tc.namespace)], [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=[lambda tc: ensure_pvc_with_model(namespace=tc.namespace)], [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=[lambda tc: ensure_pvc_with_model(namespace=tc.namespace)], [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] 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:866: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] args = (, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kin...del-p-9d807ba3'}, [e2e-llm-inference-service] {'name': 'model-pvc-llmisvc-model-pvc-rou-49c1f027'}]}, [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 = '2026-07-28T18:09:25.442599', start_time = 1785262165.4428525 [e2e-llm-inference-service] duration = 900.8989722728729, timestamp_end = '2026-07-28T18:24:26.341827' [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....svc-model-p-9d807ba3'}, [e2e-llm-inference-service] {'name': 'model-pvc-llmisvc-model-pvc-rou-49c1f027'}]}, [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] all_condition_types = 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] ctype = condition.get("type") [e2e-llm-inference-service] all_condition_types.add(ctype) [e2e-llm-inference-service] if condition.get("status") == "True": [e2e-llm-inference-service] got_true_conditions.add(ctype) [e2e-llm-inference-service] [e2e-llm-inference-service] # When TokenizerReady is present, it must also be True [e2e-llm-inference-service] if "TokenizerReady" in all_condition_types: [e2e-llm-inference-service] expected_true_conditions.add("TokenizerReady") [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:1376: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] assertion_fn = .assert_llm_isvc_ready at 0x7f56d959ca40> [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:1387: [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] all_condition_types = 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] ctype = condition.get("type") [e2e-llm-inference-service] all_condition_types.add(ctype) [e2e-llm-inference-service] if condition.get("status") == "True": [e2e-llm-inference-service] got_true_conditions.add(ctype) [e2e-llm-inference-service] [e2e-llm-inference-service] # When TokenizerReady is present, it must also be True [e2e-llm-inference-service] if "TokenizerReady" in all_condition_types: [e2e-llm-inference-service] expected_true_conditions.add("TokenizerReady") [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: {'WorkloadsReady', 'Ready'}, expected {'WorkloadsReady', 'RouterReady', 'Ready'}, got [{'lastTransitionTime': '2026-07-28T18:10:17Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-28T18:10:17Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T18:10:17Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:11:32Z', 'severity': 'Info', 'status': 'True', 'type': 'PrefillWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:09:35Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T18:10:17Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T18:10:17Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T18:10:17Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:10:17Z', '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:1371: AssertionError [e2e-llm-inference-service] ------------------------------ Captured log setup ------------------------------ [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1769 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.namespace:namespace.py:82 Created test namespace e2e-test-llm-inference-service-48639af5 [e2e-llm-inference-service] INFO e2e.llmisvc.namespace:namespace.py:131 Copied secret seaweedfs-s3-creds from kserve-ci-e2e-test to e2e-test-llm-inference-service-48639af5 [e2e-llm-inference-service] INFO e2e.llmisvc.namespace:namespace.py:131 Copied secret storage-config from kserve-ci-e2e-test to e2e-test-llm-inference-service-48639af5 [e2e-llm-inference-service] INFO e2e.llmisvc.namespace:namespace.py:178 Patched default SA in e2e-test-llm-inference-service-48639af5 with secret seaweedfs-s3-creds [e2e-llm-inference-service] INFO e2e.llmisvc.namespace:namespace.py:162 ConfigMap odh-kserve-custom-ca-bundle already exists in e2e-test-llm-inference-service-48639af5 [e2e-llm-inference-service] INFO e2e.llmisvc.namespace:namespace.py:159 Copied ConfigMap odh-trusted-ca-bundle from kserve-ci-e2e-test to e2e-test-llm-inference-service-48639af5 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1769 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1769 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1769 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1959 Created PVC e2e-pvc-model-storage in namespace e2e-test-llm-inference-service-48639af5 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1769 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:2099 Created model download Job e2e-pvc-model-download in namespace e2e-test-llm-inference-service-48639af5 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1769 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:2124 Model download Job e2e-pvc-model-download completed successfully [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1718 Checking LLMInferenceServiceConfig router-managed-llmisvc-model-pv-d968e7b0 in namespace e2e-test-llm-inference-service-48639af5 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1744 Resource not found, creating LLMInferenceServiceConfig router-managed-llmisvc-model-pv-d968e7b0 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1754 ✓ Successfully created LLMInferenceServiceConfig router-managed-llmisvc-model-pv-d968e7b0 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1718 Checking LLMInferenceServiceConfig workload-pd-cpu-llmisvc-model-p-9d807ba3 in namespace e2e-test-llm-inference-service-48639af5 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1744 Resource not found, creating LLMInferenceServiceConfig workload-pd-cpu-llmisvc-model-p-9d807ba3 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1754 ✓ Successfully created LLMInferenceServiceConfig workload-pd-cpu-llmisvc-model-p-9d807ba3 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1718 Checking LLMInferenceServiceConfig model-pvc-llmisvc-model-pvc-rou-49c1f027 in namespace e2e-test-llm-inference-service-48639af5 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1744 Resource not found, creating LLMInferenceServiceConfig model-pvc-llmisvc-model-pvc-rou-49c1f027 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1754 ✓ Successfully created LLMInferenceServiceConfig model-pvc-llmisvc-model-pvc-rou-49c1f027 [e2e-llm-inference-service] ------------------------------ Captured log call ------------------------------- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [test_llm_inference_service] [2026-07-28T18:09:25.281656] start - args=(), kwargs={'test_case': TestCase(base_refs=['router-managed', 'workload-pd-cpu', 'model-pvc'], prompt='KServe is a', service_name='llmisvc-model-pvc-router-manage-e8706282', 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, namespace='e2e-test-llm-inference-service-48639af5', before_test=[ at 0x7f56d9eb7ba0>], 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-pvc-router-manage-e8706282', [e2e-llm-inference-service] 'namespace': 'e2e-test-llm-inference-service-48639af5', [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-pv-d968e7b0'}, [e2e-llm-inference-service] {'name': 'workload-pd-cpu-llmisvc-model-p-9d807ba3'}, [e2e-llm-inference-service] {'name': 'model-pvc-llmisvc-model-pvc-rou-49c1f027'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m')} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1769 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [create_llmisvc] [2026-07-28T18:09:25.294361] 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-pvc-router-manage-e8706282', [e2e-llm-inference-service] 'namespace': 'e2e-test-llm-inference-service-48639af5', [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-pv-d968e7b0'}, [e2e-llm-inference-service] {'name': 'workload-pd-cpu-llmisvc-model-p-9d807ba3'}, [e2e-llm-inference-service] {'name': 'model-pvc-llmisvc-model-pvc-rou-49c1f027'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [create_llmisvc] [2026-07-28T18:09:25.442483] end - ✅ in 0.148s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [wait_for_llm_isvc_ready] [2026-07-28T18:09:25.442599] 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-pvc-router-manage-e8706282', [e2e-llm-inference-service] 'namespace': 'e2e-test-llm-inference-service-48639af5', [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-pv-d968e7b0'}, [e2e-llm-inference-service] {'name': 'workload-pd-cpu-llmisvc-model-p-9d807ba3'}, [e2e-llm-inference-service] {'name': 'model-pvc-llmisvc-model-pvc-rou-49c1f027'}]}, [e2e-llm-inference-service] 'status': None}, 900), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1394 Waiting: No conditions found in status [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1394 Waiting: Missing true conditions: {'WorkloadsReady', 'RouterReady', 'Ready'}, expected {'WorkloadsReady', 'RouterReady', 'Ready'}, got [{'lastTransitionTime': '2026-07-28T18:09:35Z', 'message': 'The following HTTPRoutes are not ready: [e2e-test-llm-inference-service-48639af5/llmisvc-model-pvc-router-manage-e8706282-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': '2026-07-28T18:09:35Z', 'message': 'Inference Pool e2e-test-llm-inference-service-48639af5/llmisvc-model-pvc-router-manage-e8706282-inference-pool exists but no Gateway controller has accepted it yet', 'reason': 'WaitingForGateway', 'severity': 'Info', 'status': 'False', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T18:09:35Z', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:09:35Z', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'PrefillWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:09:35Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T18:09:35Z', 'message': 'The following HTTPRoutes are not ready: [e2e-test-llm-inference-service-48639af5/llmisvc-model-pvc-router-manage-e8706282-kserve-route: "False" (reason "InvalidKind", message "referencing unsupported backendRef: group \\"inference.networking.x-k8s.io\\" kind \\"InferencePool\\"")]', 'reason': 'HTTPRoutesNotReady', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T18:09:35Z', 'message': 'The following HTTPRoutes are not ready: [e2e-test-llm-inference-service-48639af5/llmisvc-model-pvc-router-manage-e8706282-kserve-route: "False" (reason "InvalidKind", message "referencing unsupported backendRef: group \\"inference.networking.x-k8s.io\\" kind \\"InferencePool\\"")]', 'reason': 'HTTPRoutesNotReady', 'status': 'False', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T18:09:35Z', 'message': 'Deployment rollout in progress', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:09:35Z', 'reason': 'Progressing', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1394 Waiting: Missing true conditions: {'WorkloadsReady', 'RouterReady', 'Ready'}, expected {'WorkloadsReady', 'RouterReady', 'Ready'}, got [{'lastTransitionTime': '2026-07-28T18:09:58Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-28T18:09:58Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T18:09:58Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:09:58Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'PrefillWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:09:35Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T18:09:58Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T18:09:58Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T18:09:58Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:09:58Z', '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:1394 Waiting: Missing true conditions: {'WorkloadsReady', 'Ready'}, expected {'WorkloadsReady', 'RouterReady', 'Ready'}, got [{'lastTransitionTime': '2026-07-28T18:10:17Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-28T18:10:17Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T18:10:17Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:10:17Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'PrefillWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:09:35Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T18:10:17Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T18:10:17Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T18:10:17Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:10:17Z', '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:1394 Waiting: Missing true conditions: {'WorkloadsReady', 'Ready'}, expected {'WorkloadsReady', 'RouterReady', 'Ready'}, got [{'lastTransitionTime': '2026-07-28T18:10:17Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-28T18:10:17Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T18:10:17Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:11:32Z', 'severity': 'Info', 'status': 'True', 'type': 'PrefillWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:09:35Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T18:10:17Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T18:10:17Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T18:10:17Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:10:17Z', '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:1391 Timed out waiting: Missing true conditions: {'WorkloadsReady', 'Ready'}, expected {'WorkloadsReady', 'RouterReady', 'Ready'}, got [{'lastTransitionTime': '2026-07-28T18:10:17Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-28T18:10:17Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T18:10:17Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:11:32Z', 'severity': 'Info', 'status': 'True', 'type': 'PrefillWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:09:35Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T18:10:17Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T18:10:17Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T18:10:17Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:10:17Z', '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] [2026-07-28T18:24:26.341827] end - ❌ 900.899s: Missing true conditions: {'WorkloadsReady', 'Ready'}, expected {'WorkloadsReady', 'RouterReady', 'Ready'}, got [{'lastTransitionTime': '2026-07-28T18:10:17Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-28T18:10:17Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T18:10:17Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:11:32Z', 'severity': 'Info', 'status': 'True', 'type': 'PrefillWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:09:35Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T18:10:17Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T18:10:17Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T18:10:17Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:10:17Z', '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:903 [router-managed-workload-pd-cpu-model-pvc] ❌ ERROR: Failed to call llm inference service llmisvc-model-pvc-router-manage-e8706282: Missing true conditions: {'WorkloadsReady', 'Ready'}, expected {'WorkloadsReady', 'RouterReady', 'Ready'}, got [{'lastTransitionTime': '2026-07-28T18:10:17Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-28T18:10:17Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T18:10:17Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:11:32Z', 'severity': 'Info', 'status': 'True', 'type': 'PrefillWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:09:35Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T18:10:17Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T18:10:17Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T18:10:17Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:10:17Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:243 # Diagnostics for 'llmisvc-model-pvc-router-manage-e8706282' in 'e2e-test-llm-inference-service-48639af5' [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:244 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:247 # LLMInferenceService llmisvc-model-pvc-router-manage-e8706282 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:256 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: '2026-07-28T18:09:25Z' [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: '2026-07-28T18:09:25Z' [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: '2026-07-28T18:09:25Z' [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-scheduler-latency-predictor: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-template: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-tokenizer: {} [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: '2026-07-28T18:11:32Z' [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-e8706282 [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-48639af5 [e2e-llm-inference-service] resourceVersion: '66315' [e2e-llm-inference-service] uid: 4571e603-3275-46fd-bd99-98aec30302af [e2e-llm-inference-service] spec: [e2e-llm-inference-service] baseRefs: [e2e-llm-inference-service] - name: router-managed-llmisvc-model-pv-d968e7b0 [e2e-llm-inference-service] - name: workload-pd-cpu-llmisvc-model-p-9d807ba3 [e2e-llm-inference-service] - name: model-pvc-llmisvc-model-pvc-rou-49c1f027 [e2e-llm-inference-service] model: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-e8706282 [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://a2f315e697b4a44a49ee5648ecb7c72c-2003302153.us-east-1.elb.amazonaws.com/ [e2e-llm-inference-service] - name: gateway-external [e2e-llm-inference-service] url: http://a2f315e697b4a44a49ee5648ecb7c72c-2003302153.us-east-1.elb.amazonaws.com/e2e-test-llm-inference-service-48639af5/llmisvc-model-pvc-router-manage-e8706282 [e2e-llm-inference-service] - name: gateway-external [e2e-llm-inference-service] url: http://a2f315e697b4a44a49ee5648ecb7c72c-2003302153.us-east-1.elb.amazonaws.com/publishers/e2e-test-llm-inference-service-48639af5/models/facebook/opt-125m [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/e2e-test-llm-inference-service-48639af5/llmisvc-model-pvc-router-manage-e8706282 [e2e-llm-inference-service] - name: gateway-internal [e2e-llm-inference-service] url: http://openshift-ai-inference-openshift-default.openshift-ingress.svc.cluster.local/publishers/e2e-test-llm-inference-service-48639af5/models/facebook/opt-125m [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-scheduler-latency-predictor: kserve-config-llm-scheduler-latency-predictor [e2e-llm-inference-service] serving.kserve.io/config-llm-template: kserve-config-llm-template [e2e-llm-inference-service] serving.kserve.io/config-llm-tokenizer: kserve-config-llm-tokenizer [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: '2026-07-28T18:10:17Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: HTTPRoutesReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-28T18:10:17Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: InferencePoolReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-28T18:10:17Z' [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: '2026-07-28T18:11:32Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: PrefillWorkloadReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-28T18:09:35Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: PresetsCombined [e2e-llm-inference-service] - lastTransitionTime: '2026-07-28T18:10:17Z' [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: '2026-07-28T18:10:17Z' [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: RouterReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-28T18:10:17Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: SchedulerWorkloadReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-28T18:10:17Z' [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://a2f315e697b4a44a49ee5648ecb7c72c-2003302153.us-east-1.elb.amazonaws.com/e2e-test-llm-inference-service-48639af5/llmisvc-model-pvc-router-manage-e8706282 [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:68 TIME NAMESPACE SOURCE TYPE REASON MESSAGE [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:69 -------------------------------------------------------------------------------------------------- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 None e2e-test-llm-inference-service-48639af5 Normal Scheduled Successfully assigned e2e-test-llm-inference-service-48639af5/e2e-pvc-model-download-p5kxz to ip-10-0-130-0.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:09:10 e2e-test-llm-inference-service-48639af5 attachdetach-controller Normal SuccessfulAttachVolume AttachVolume.Attach succeeded for volume "pvc-587184e4-1889-40d7-a44a-a6339214415e" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:09:12 e2e-test-llm-inference-service-48639af5 multus Normal AddedInterface Add eth0 [10.134.0.58/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:09:12 e2e-test-llm-inference-service-48639af5 kubelet/ip-10-0-130-0.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:3049312fa55515cbc94d5484b2c3ba6994735bde07ec862ad9b359b89e6c0af0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:09:12 e2e-test-llm-inference-service-48639af5 kubelet/ip-10-0-130-0.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:09:12 e2e-test-llm-inference-service-48639af5 kubelet/ip-10-0-130-0.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:09:05 e2e-test-llm-inference-service-48639af5 job-controller Normal SuccessfulCreate Created pod: e2e-pvc-model-download-p5kxz [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:09:21 e2e-test-llm-inference-service-48639af5 job-controller Normal Completed Job completed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:09:04 e2e-test-llm-inference-service-48639af5 persistentvolume-controller Normal WaitForFirstConsumer waiting for first consumer to be created before binding [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:09:05 e2e-test-llm-inference-service-48639af5 ebs.csi.aws.com_aws-ebs-csi-driver-controller-5876dc685-z5j92_77ea1988-795e-4770-9745-05602a088e44 Normal Provisioning External provisioner is provisioning volume for claim "e2e-test-llm-inference-service-48639af5/e2e-pvc-model-storage" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:09:05 e2e-test-llm-inference-service-48639af5 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:80 2026-07-28 18:09:07 e2e-test-llm-inference-service-48639af5 ebs.csi.aws.com_aws-ebs-csi-driver-controller-5876dc685-z5j92_77ea1988-795e-4770-9745-05602a088e44 Normal ProvisioningSucceeded Successfully provisioned volume pvc-587184e4-1889-40d7-a44a-a6339214415e [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:09:33 e2e-test-llm-inference-service-48639af5 replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-pvc-router-manage-e8706282-kserve-6d9fffb56cww6jv [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 None e2e-test-llm-inference-service-48639af5 Normal Scheduled Successfully assigned e2e-test-llm-inference-service-48639af5/llmisvc-model-pvc-router-manage-e8706282-kserve-6d9fffb56cww6jv to ip-10-0-130-0.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:09:35 e2e-test-llm-inference-service-48639af5 attachdetach-controller Warning FailedAttachVolume Multi-Attach error for volume "pvc-587184e4-1889-40d7-a44a-a6339214415e" Volume is already used by pod(s) llmisvc-model-pvc-router-manage-e8706282-kserve-prefill-7btn6wz [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:09:33 e2e-test-llm-inference-service-48639af5 replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-pvc-router-manage-e8706282-kserve-prefill-7btn6wz [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 None e2e-test-llm-inference-service-48639af5 Normal Scheduled Successfully assigned e2e-test-llm-inference-service-48639af5/llmisvc-model-pvc-router-manage-e8706282-kserve-prefill-7btn6wz to ip-10-0-133-48.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:09:35 e2e-test-llm-inference-service-48639af5 attachdetach-controller Normal SuccessfulAttachVolume AttachVolume.Attach succeeded for volume "pvc-587184e4-1889-40d7-a44a-a6339214415e" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:09:41 e2e-test-llm-inference-service-48639af5 multus Normal AddedInterface Add eth0 [10.132.0.51/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:09:41 e2e-test-llm-inference-service-48639af5 kubelet/ip-10-0-133-48.ec2.internal Normal Pulled Container image "vllm/vllm-openai-cpu:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:09:41 e2e-test-llm-inference-service-48639af5 kubelet/ip-10-0-133-48.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:09:41 e2e-test-llm-inference-service-48639af5 kubelet/ip-10-0-133-48.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:11:21 e2e-test-llm-inference-service-48639af5 kubelet/ip-10-0-133-48.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.132.0.51:8000/health": dial tcp 10.132.0.51:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:09:33 e2e-test-llm-inference-service-48639af5 deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-pvc-router-manage-e8706282-kserve-prefill-7b89cd7957 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:09:33 e2e-test-llm-inference-service-48639af5 deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-pvc-router-manage-e8706282-kserve-6d9fffb56c from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:09:30 e2e-test-llm-inference-service-48639af5 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 e2e-test-llm-inference-service-48639af5/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:80 2026-07-28 18:09:32 e2e-test-llm-inference-service-48639af5 LLMInferenceServiceController Normal Created Created v1.Secret e2e-test-llm-inference-service-48639af5/llmisvb19f98874e050eec8ca94d49676113f0-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:09:32 e2e-test-llm-inference-service-48639af5 LLMInferenceServiceController Normal Created Created v1.ServiceAccount e2e-test-llm-inference-service-48639af5/llmisvc-model-pvc-router-manage-e8706282-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:09:32 e2e-test-llm-inference-service-48639af5 LLMInferenceServiceController Normal Created Created v1.Role e2e-test-llm-inference-service-48639af5/llmisvc-model-pvc-router-manage-e8706282-kserve-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:09:32 e2e-test-llm-inference-service-48639af5 LLMInferenceServiceController Normal Created Created v1.RoleBinding e2e-test-llm-inference-service-48639af5/llmisvc-model-pvc-router-manage-e8706282-kserve-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:09:33 e2e-test-llm-inference-service-48639af5 LLMInferenceServiceController Normal Created Created v1.Deployment e2e-test-llm-inference-service-48639af5/llmisvc-model-pvc-router-manage-e8706282-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:09:33 e2e-test-llm-inference-service-48639af5 LLMInferenceServiceController Normal Created Created v1.Deployment e2e-test-llm-inference-service-48639af5/llmisvc-model-pvc-router-manage-e8706282-kserve-prefill [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:09:33 e2e-test-llm-inference-service-48639af5 LLMInferenceServiceController Normal Created Created v1.Service e2e-test-llm-inference-service-48639af5/llmisvc-model-pvc-router-manage-e8706282-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:09:33 e2e-test-llm-inference-service-48639af5 LLMInferenceServiceController Normal Created Created v1.ServiceAccount e2e-test-llm-inference-service-48639af5/llmisvc-model-pvc-router-manage-e8706282-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:09:33 e2e-test-llm-inference-service-48639af5 LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /e2e-test-llm-inference-service-132820f03254470cd8a0146008974a5f [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:09:58 e2e-test-llm-inference-service-48639af5 LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule e2e-test-llm-inference-service-48639af5/llmisvc-model-pvc-router-manage-e8706282-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:19:39 e2e-test-llm-inference-service-48639af5 LLMInferenceServiceController Normal Updated Updated v1.Secret e2e-test-llm-inference-service-48639af5/llmisvb19f98874e050eec8ca94d49676113f0-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:09:57 e2e-test-llm-inference-service-48639af5 LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute e2e-test-llm-inference-service-48639af5/llmisvc-model-pvc-router-manage-e8706282-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 None e2e-test-llm-inference-service-48639af5 Normal Scheduled Successfully assigned e2e-test-llm-inference-service-48639af5/llmisvcb19f98874e050eec8ca94d49676113f0-kserve-router-sche6w6xq to ip-10-0-138-42.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:09:33 e2e-test-llm-inference-service-48639af5 multus Normal AddedInterface Add eth0 [10.133.0.55/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:09:33 e2e-test-llm-inference-service-48639af5 kubelet/ip-10-0-138-42.ec2.internal Normal Pulled Container image "quay.io/opendatahub/odh-llm-d-router-endpoint-picker:v0.9.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:09:33 e2e-test-llm-inference-service-48639af5 kubelet/ip-10-0-138-42.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:09:33 e2e-test-llm-inference-service-48639af5 kubelet/ip-10-0-138-42.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:09:33 e2e-test-llm-inference-service-48639af5 replicaset-controller Normal SuccessfulCreate Created pod: llmisvcb19f98874e050eec8ca94d49676113f0-kserve-router-sche6w6xq [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:09:33 e2e-test-llm-inference-service-48639af5 deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvcb19f98874e050eec8ca94d49676113f0-kserve-router-scheduler-7fc69df7b8 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:172 ### Pod llmisvc-model-pvc-router-manage-e8706282-kserve-6d9fffb56cww6jv (phase=Pending) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:212 #### init-container 'llm-d-routing-sidecar' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:228 # -- logs (current): unavailable ((400) [e2e-llm-inference-service] Reason: Bad Request [e2e-llm-inference-service] HTTP response headers: HTTPHeaderDict({'Audit-Id': '63a18e45-ddfd-4f2e-851e-d81db8f610f2', 'Cache-Control': 'no-cache, private', 'Content-Type': 'application/json', 'Strict-Transport-Security': 'max-age=31536000; includeSubDomains; preload', 'Date': 'Tue, 28 Jul 2026 18:24:26 GMT', 'Content-Length': '262'}) [e2e-llm-inference-service] HTTP response body: {"kind":"Status","apiVersion":"v1","metadata":{},"status":"Failure","message":"container \"llm-d-routing-sidecar\" in pod \"llmisvc-model-pvc-router-manage-e8706282-kserve-6d9fffb56cww6jv\" 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:212 #### container 'main' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:228 # -- logs (current): unavailable ((400) [e2e-llm-inference-service] Reason: Bad Request [e2e-llm-inference-service] HTTP response headers: HTTPHeaderDict({'Audit-Id': '470ebf7e-edbe-4cbd-9a71-dc2f5ed7ae61', 'Cache-Control': 'no-cache, private', 'Content-Type': 'application/json', 'Strict-Transport-Security': 'max-age=31536000; includeSubDomains; preload', 'Date': 'Tue, 28 Jul 2026 18:24:26 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-pvc-router-manage-e8706282-kserve-6d9fffb56cww6jv\" 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:172 ### Pod llmisvc-model-pvc-router-manage-e8706282-kserve-prefill-7btn6wz (phase=Running) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:212 #### container 'main' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:225 # -- logs (current) -- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:226 (APIServer pid=1) INFO 07-28 18:11:31 [entrypoints/launcher.py:46] Route: /v1/completions, Methods: POST [e2e-llm-inference-service] (APIServer pid=1) INFO 07-28 18:11:31 [entrypoints/launcher.py:46] Route: /v1/messages, Methods: POST [e2e-llm-inference-service] (APIServer pid=1) INFO 07-28 18:11:31 [entrypoints/launcher.py:46] Route: /v1/messages/count_tokens, Methods: POST [e2e-llm-inference-service] (APIServer pid=1) INFO 07-28 18:11:31 [entrypoints/launcher.py:46] Route: /inference/v1/generate, Methods: POST [e2e-llm-inference-service] (APIServer pid=1) INFO 07-28 18:11:31 [entrypoints/launcher.py:46] Route: /scale_elastic_ep, Methods: POST [e2e-llm-inference-service] (APIServer pid=1) INFO 07-28 18:11:31 [entrypoints/launcher.py:46] Route: /is_scaling_elastic_ep, Methods: POST [e2e-llm-inference-service] (APIServer pid=1) INFO 07-28 18:11:31 [entrypoints/launcher.py:46] Route: /v1/chat/completions/render, Methods: POST [e2e-llm-inference-service] (APIServer pid=1) INFO 07-28 18:11:31 [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 07-28 18:11:31 [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 07-28 18:11:31 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:11:31 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) INFO 07-28 18:11:32 [entrypoints/ssl.py:64] File change detected: modified - /var/run/kserve/tls/tls.key [e2e-llm-inference-service] (APIServer pid=1) INFO 07-28 18:11:32 [entrypoints/ssl.py:34] Reloading SSL certificate chain [e2e-llm-inference-service] (APIServer pid=1) INFO 07-28 18:11:32 [entrypoints/ssl.py:64] File change detected: modified - /var/run/kserve/tls/tls.crt [e2e-llm-inference-service] (APIServer pid=1) INFO 07-28 18:11:32 [entrypoints/ssl.py:34] Reloading SSL certificate chain [e2e-llm-inference-service] (APIServer pid=1) INFO 07-28 18:11:32 [entrypoints/ssl.py:64] File change detected: deleted - /var/run/kserve/tls/tls.key [e2e-llm-inference-service] (APIServer pid=1) INFO 07-28 18:11:32 [entrypoints/ssl.py:34] Reloading SSL certificate chain [e2e-llm-inference-service] (APIServer pid=1) INFO 07-28 18:11:32 [entrypoints/ssl.py:64] File change detected: deleted - /var/run/kserve/tls/tls.crt [e2e-llm-inference-service] (APIServer pid=1) INFO 07-28 18:11:32 [entrypoints/ssl.py:34] Reloading SSL certificate chain [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:11:41 [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 07-28 18:11:41 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:11:51 [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 07-28 18:11:51 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:12:01 [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 07-28 18:12:01 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:12:11 [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 07-28 18:12:11 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:12:21 [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 07-28 18:12:21 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:12:31 [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 07-28 18:12:31 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:12:41 [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 07-28 18:12:41 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:12:41 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:12:51 [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 07-28 18:12:51 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:13:01 [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 07-28 18:13:01 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:13:11 [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 07-28 18:13:11 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:13:11 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:13:21 [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 07-28 18:13:21 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:13:31 [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 07-28 18:13:31 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:13:41 [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 07-28 18:13:41 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:13:41 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:13:51 [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 07-28 18:13:51 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:14:01 [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 07-28 18:14:01 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:14:11 [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 07-28 18:14:11 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:14:11 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:14:21 [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 07-28 18:14:21 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:14:31 [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 07-28 18:14:31 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:14:41 [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 07-28 18:14:41 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:14:41 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:14:51 [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 07-28 18:14:51 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:15:01 [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 07-28 18:15:01 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:15:11 [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 07-28 18:15:11 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:15:11 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:15:21 [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 07-28 18:15:21 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:15:31 [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 07-28 18:15:31 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:15:41 [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 07-28 18:15:41 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:15:41 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:15:51 [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 07-28 18:15:51 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:16:01 [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 07-28 18:16:01 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:16:11 [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 07-28 18:16:11 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:16:11 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:16:21 [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 07-28 18:16:21 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:16:31 [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 07-28 18:16:31 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:16:41 [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 07-28 18:16:41 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:16:41 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:16:51 [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 07-28 18:16:51 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:17:01 [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 07-28 18:17:01 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:17:11 [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 07-28 18:17:11 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:17:11 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:17:21 [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 07-28 18:17:21 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:17:31 [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 07-28 18:17:31 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:17:41 [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 07-28 18:17:41 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:17:41 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:17:51 [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 07-28 18:17:51 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:18:01 [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 07-28 18:18:01 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:18:11 [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 07-28 18:18:11 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:18:11 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:18:21 [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 07-28 18:18:21 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:18:31 [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 07-28 18:18:31 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:18:41 [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 07-28 18:18:41 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:18:41 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:18:51 [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 07-28 18:18:51 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:19:01 [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 07-28 18:19:01 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:19:11 [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 07-28 18:19:11 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:19:11 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:19:21 [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 07-28 18:19:21 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:19:31 [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 07-28 18:19:31 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:19:41 [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 07-28 18:19:41 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:19:41 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:19:51 [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 07-28 18:19:51 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:20:01 [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 07-28 18:20:01 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:20:11 [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 07-28 18:20:11 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:20:11 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:20:21 [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 07-28 18:20:21 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:20:31 [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 07-28 18:20:31 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:20:41 [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 07-28 18:20:41 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:20:41 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:20:51 [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 07-28 18:20:51 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:21:01 [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 07-28 18:21:01 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:21:11 [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 07-28 18:21:11 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:21:11 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:21:21 [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 07-28 18:21:21 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:21:31 [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 07-28 18:21:31 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:21:41 [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 07-28 18:21:41 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:21:41 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:21:51 [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 07-28 18:21:51 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:22:01 [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 07-28 18:22:01 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:22:11 [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 07-28 18:22:11 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:22:11 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:22:21 [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 07-28 18:22:21 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:22:31 [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 07-28 18:22:31 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:22:41 [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 07-28 18:22:41 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:22:41 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:22:51 [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 07-28 18:22:51 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:23:01 [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 07-28 18:23:01 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:23:11 [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 07-28 18:23:11 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:23:11 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:23:21 [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 07-28 18:23:21 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:23:31 [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 07-28 18:23:31 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:23:41 [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 07-28 18:23:41 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:23:41 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:23:51 [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 07-28 18:23:51 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:24:01 [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 07-28 18:24:01 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:24:11 [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 07-28 18:24:11 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:24:11 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-28 18:24:21 [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 07-28 18:24:21 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:172 ### Pod llmisvcb19f98874e050eec8ca94d49676113f0-kserve-router-sche6w6xq (phase=Running) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:212 #### container 'main' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:225 # -- logs (current) -- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:226 {"level":"info","ts":1785262173.9517307,"logger":"setup","caller":"runner/runner.go:196","msg":"GIE build","commit-sha":"unknown","build-ref":""} [e2e-llm-inference-service] {"level":"info","ts":1785262173.951841,"logger":"setup","caller":"runner/runner.go:217","msg":"Flags processed","flags":{"cert-path":"/var/run/kserve/tls","config-file":"","config-text":"apiVersion: llm-d.ai/v1alpha1\nkind: EndpointPickerConfig\nplugins:\n- type: disagg-headers-handler\n- type: prefill-filter\n- type: decode-filter\n- type: queue-scorer\n- type: kv-cache-utilization-scorer\n- type: active-request-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\n- parameters:\n scheme: https\n type: metrics-data-source\nschedulingProfiles:\n- name: prefill\n plugins:\n - pluginRef: prefill-filter\n - pluginRef: prefix-cache-scorer\n weight: 3\n - pluginRef: queue-scorer\n weight: 2\n - pluginRef: kv-cache-utilization-scorer\n weight: 2\n - pluginRef: max-score-picker\n- name: decode\n plugins:\n - pluginRef: decode-filter\n - pluginRef: active-request-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":"http","pool-group":"inference.networking.k8s.io","pool-name":"llmisvc-model-pvc-router-manage-e8706282-inference-pool","pool-namespace":"e2e-test-llm-inference-service-48639af5","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":1785262173.9519491,"logger":"setup.trace","caller":"tracing/telemetry.go:123","msg":"init OTel trace exporter","type":"console"} [e2e-llm-inference-service] {"level":"info","ts":1785262173.9525666,"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: kv-cache-utilization-scorer} {Type: active-request-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\"}}} {Type: metrics-data-source, Parameters: {\"scheme\":\"https\"}}], SchedulingProfiles: [{Name: prefill, Plugins: [{PluginRef: prefill-filter} {PluginRef: prefix-cache-scorer, Weight: 3.00} {PluginRef: queue-scorer, Weight: 2.00} {PluginRef: kv-cache-utilization-scorer, Weight: 2.00} {PluginRef: max-score-picker}]} {Name: decode, Plugins: [{PluginRef: decode-filter} {PluginRef: active-request-scorer, Weight: 2.00} {PluginRef: prefix-cache-scorer, Weight: 3.00} {PluginRef: max-score-picker}]}]}"} [e2e-llm-inference-service] {"level":"info","ts":1785262173.952595,"logger":"setup","caller":"runner/runner.go:622","msg":"Data layer: ENABLED"} [e2e-llm-inference-service] {"level":"info","ts":1785262173.952929,"logger":"setup","caller":"runner/runner.go:281","msg":"Raw config after phase one","config":{"apiVersion":"llm-d.ai/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":"kv-cache-utilization-scorer","parameters":null,"type":"kv-cache-utilization-scorer"},{"name":"active-request-scorer","parameters":null,"type":"active-request-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"},{"name":"metrics-data-source","parameters":{"scheme":"https"},"type":"metrics-data-source"}],"schedulingProfiles":[{"name":"prefill","plugins":[{"pluginRef":"prefill-filter","weight":null},{"pluginRef":"prefix-cache-scorer","weight":3},{"pluginRef":"queue-scorer","weight":2},{"pluginRef":"kv-cache-utilization-scorer","weight":2},{"pluginRef":"max-score-picker","weight":null}]},{"name":"decode","plugins":[{"pluginRef":"decode-filter","weight":null},{"pluginRef":"active-request-scorer","weight":2},{"pluginRef":"prefix-cache-scorer","weight":3},{"pluginRef":"max-score-picker","weight":null}]}]}} [e2e-llm-inference-service] {"level":"info","ts":1785262173.9738784,"caller":"disagg/disagg_profile_handler.go:186","msg":"No deciders.encode configured, E disaggregation disabled"} [e2e-llm-inference-service] {"level":"info","ts":1785262173.9739678,"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":1785262173.974039,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"vllm","mapping":"Mapping{all specs enabled}"} [e2e-llm-inference-service] {"level":"info","ts":1785262173.974081,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"sglang","mapping":"Mapping{disabled: [lora]}"} [e2e-llm-inference-service] {"level":"info","ts":1785262173.9741168,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"trtllm-serve","mapping":"Mapping{disabled: [lora, cacheInfo]}"} [e2e-llm-inference-service] {"level":"info","ts":1785262173.9741762,"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":1785262173.974195,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"triton","mapping":"Mapping{disabled: [kv, lora, cacheInfo]}"} [e2e-llm-inference-service] {"level":"info","ts":1785262173.974257,"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: kv-cache-utilization-scorer, Type: kv-cache-utilization-scorer} {Name: active-request-scorer, Type: active-request-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: metrics-data-source, Type: metrics-data-source, Parameters: {\"scheme\":\"https\"}} {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: core-metrics-extractor, Type: core-metrics-extractor}], SchedulingProfiles: [{Name: prefill, Plugins: [{PluginRef: prefill-filter} {PluginRef: prefix-cache-scorer, Weight: 3.00} {PluginRef: queue-scorer, Weight: 2.00} {PluginRef: kv-cache-utilization-scorer, Weight: 2.00} {PluginRef: max-score-picker}]} {Name: decode, Plugins: [{PluginRef: decode-filter} {PluginRef: active-request-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":1785262173.974336,"caller":"datalayer/data_graph.go:116","msg":"auto-created default producer","producer":"inflight-load-producer/inflight-load-producer","dataKey":"InFlightLoadDataKey/inflight-load-producer","consumer":"active-request-scorer"} [e2e-llm-inference-service] {"level":"info","ts":1785262173.974351,"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":1785262173.9744031,"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":1785262173.9744403,"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":1785262173.9744534,"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":1785262173.9745948,"caller":"runner/runner.go:685","msg":"loaded configuration from file/text successfully"} [e2e-llm-inference-service] {"level":"info","ts":1785262173.9746053,"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: [active-request-scorer/active-request-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: [prefix-cache-scorer/prefix-cache-scorer: 3.000000, queue-scorer/queue-scorer: 2.000000, kv-cache-utilization-scorer/kv-cache-utilization-scorer: 2.000000], Picker: max-score-picker/max-score-picker}]} SaturationDetector:0xc0007c6740 DataConfig:{Sources:[{Plugin:0xc0008967e0 Extractors:[0xc0007c6b80]}]} FlowControlConfig: ParserRegistry:0xc0007c7400}"} [e2e-llm-inference-service] {"level":"info","ts":1785262173.9929066,"logger":"setup","caller":"runner/runner.go:352","msg":"Setting pprof handlers"} [e2e-llm-inference-service] {"level":"info","ts":1785262173.992942,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/symbol"} [e2e-llm-inference-service] {"level":"info","ts":1785262173.9929574,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/trace"} [e2e-llm-inference-service] {"level":"info","ts":1785262173.9929621,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/heap"} [e2e-llm-inference-service] {"level":"info","ts":1785262173.9929662,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/threadcreate"} [e2e-llm-inference-service] {"level":"info","ts":1785262173.9929705,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/"} [e2e-llm-inference-service] {"level":"info","ts":1785262173.9929745,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/cmdline"} [e2e-llm-inference-service] {"level":"info","ts":1785262173.9929793,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/goroutine"} [e2e-llm-inference-service] {"level":"info","ts":1785262173.9929833,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/allocs"} [e2e-llm-inference-service] {"level":"info","ts":1785262173.992988,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/block"} [e2e-llm-inference-service] {"level":"info","ts":1785262173.9929929,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/mutex"} [e2e-llm-inference-service] {"level":"info","ts":1785262173.9929972,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/profile"} [e2e-llm-inference-service] {"level":"info","ts":1785262173.9930086,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/plugins/state"} [e2e-llm-inference-service] {"level":"info","ts":1785262173.9930136,"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: [active-request-scorer/active-request-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: [prefix-cache-scorer/prefix-cache-scorer: 3.000000, queue-scorer/queue-scorer: 2.000000, kv-cache-utilization-scorer/kv-cache-utilization-scorer: 2.000000], Picker: max-score-picker/max-score-picker}]}"} [e2e-llm-inference-service] {"level":"info","ts":1785262173.993048,"logger":"setup","caller":"datalayer/runtime.go:99","msg":"Configuring datalayer runtime","numSources":1} [e2e-llm-inference-service] {"level":"info","ts":1785262173.9930568,"logger":"setup","caller":"datalayer/runtime.go:118","msg":"Processing source","source":"metrics-data-source","numExtractors":1} [e2e-llm-inference-service] {"level":"info","ts":1785262173.993071,"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":1785262173.9930913,"logger":"setup","caller":"datalayer/runtime.go:206","msg":"Datalayer runtime configured","pollers":1,"notifiers":0,"endpointSources":1} [e2e-llm-inference-service] {"level":"info","ts":1785262173.993106,"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":1785262173.9932065,"logger":"setup","caller":"runner/runner.go:721","msg":"ExtProc server runner added to manager."} [e2e-llm-inference-service] {"level":"info","ts":1785262173.9932215,"logger":"setup","caller":"runner/runner.go:260","msg":"Controller manager starting"} [e2e-llm-inference-service] {"level":"info","ts":1785262173.9932477,"logger":"controller-runtime.metrics","caller":"server/server.go:208","msg":"Starting metrics server"} [e2e-llm-inference-service] {"level":"info","ts":1785262173.993626,"caller":"runnable/grpc.go:35","msg":"gRPC server starting","name":"health"} [e2e-llm-inference-service] {"level":"info","ts":1785262173.9937294,"caller":"runnable/grpc.go:43","msg":"gRPC server listening","name":"health","port":9003} [e2e-llm-inference-service] {"level":"info","ts":1785262173.9937553,"logger":"controller-runtime.metrics","caller":"server/server.go:247","msg":"Serving metrics server","bindAddress":":9090","secure":false} [e2e-llm-inference-service] {"level":"info","ts":1785262173.9939635,"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":1785262173.9940073,"caller":"controller/controller.go:370","msg":"Starting EventSource","controller":"inferencemodelrewrite","controllerGroup":"llm-d.ai","controllerKind":"InferenceModelRewrite","source":"kind source: *v1alpha2.InferenceModelRewrite"} [e2e-llm-inference-service] {"level":"info","ts":1785262173.9941576,"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":1785262173.9941332,"caller":"controller/controller.go:370","msg":"Starting EventSource","controller":"inferenceobjective","controllerGroup":"llm-d.ai","controllerKind":"InferenceObjective","source":"kind source: *v1alpha2.InferenceObjective"} [e2e-llm-inference-service] {"level":"info","ts":1785262173.994638,"caller":"runnable/grpc.go:35","msg":"gRPC server starting","name":"ext-proc"} [e2e-llm-inference-service] {"level":"info","ts":1785262173.994756,"caller":"runnable/grpc.go:43","msg":"gRPC server listening","name":"ext-proc","port":9002} [e2e-llm-inference-service] {"level":"info","ts":1785262173.9984393,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1alpha2.InferenceObjective","reflector":"go/pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1785262173.9984422,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1alpha2.InferenceModelRewrite","reflector":"go/pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1785262173.9986677,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1.InferencePool","reflector":"go/pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1785262173.9993362,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1.Pod","reflector":"go/pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1785262174.0956492,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"inferencemodelrewrite","controllerGroup":"llm-d.ai","controllerKind":"InferenceModelRewrite"} [e2e-llm-inference-service] {"level":"info","ts":1785262174.0956843,"caller":"controller/controller.go:306","msg":"Starting workers","controller":"inferencemodelrewrite","controllerGroup":"llm-d.ai","controllerKind":"InferenceModelRewrite","worker count":1} [e2e-llm-inference-service] {"level":"info","ts":1785262174.095674,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"inferencepool","controllerGroup":"inference.networking.k8s.io","controllerKind":"InferencePool"} [e2e-llm-inference-service] {"level":"info","ts":1785262174.0956495,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"inferenceobjective","controllerGroup":"llm-d.ai","controllerKind":"InferenceObjective"} [e2e-llm-inference-service] {"level":"info","ts":1785262174.0957465,"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":1785262174.095752,"caller":"controller/controller.go:306","msg":"Starting workers","controller":"inferenceobjective","controllerGroup":"llm-d.ai","controllerKind":"InferenceObjective","worker count":1} [e2e-llm-inference-service] {"level":"info","ts":1785262174.0958898,"caller":"controller/inferencepool_reconciler.go:46","msg":"Reconciling InferencePool","controller":"inferencepool","controllerGroup":"inference.networking.k8s.io","controllerKind":"InferencePool","InferencePool":{"name":"llmisvc-model-pvc-router-manage-e8706282-inference-pool","namespace":"e2e-test-llm-inference-service-48639af5"},"namespace":"e2e-test-llm-inference-service-48639af5","name":"llmisvc-model-pvc-router-manage-e8706282-inference-pool","reconcileID":"83696eb4-8653-4e98-a7d9-74579ac26609"} [e2e-llm-inference-service] {"level":"info","ts":1785262174.195858,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"pod","controllerGroup":"","controllerKind":"Pod"} [e2e-llm-inference-service] {"level":"info","ts":1785262174.1958988,"caller":"controller/controller.go:306","msg":"Starting workers","controller":"pod","controllerGroup":"","controllerKind":"Pod","worker count":1} [e2e-llm-inference-service] {"level":"info","ts":1785262197.4352338,"caller":"controller/inferencepool_reconciler.go:46","msg":"Reconciling InferencePool","controller":"inferencepool","controllerGroup":"inference.networking.k8s.io","controllerKind":"InferencePool","InferencePool":{"name":"llmisvc-model-pvc-router-manage-e8706282-inference-pool","namespace":"e2e-test-llm-inference-service-48639af5"},"namespace":"e2e-test-llm-inference-service-48639af5","name":"llmisvc-model-pvc-router-manage-e8706282-inference-pool","reconcileID":"1e695180-39eb-4f2e-86a7-5b8844a9695c"} [e2e-llm-inference-service] {"level":"info","ts":1785262291.8507938,"caller":"inflightload/producer.go:308","msg":"Injected dynamic attribute into endpoint","key":"InFlightLoadDataKey/inflight-load-producer","endpoint":"e2e-test-llm-inference-service-48639af5/llmisvc-model-pvc-router-manage-e8706282-kserve-prefill-7btn6wz-rank-0"} [e2e-llm-inference-service] {"level":"info","ts":1785262291.8508418,"caller":"controller/pod_reconciler.go:99","msg":"Pod already exists","controller":"pod","controllerGroup":"","controllerKind":"Pod","Pod":{"name":"llmisvc-model-pvc-router-manage-e8706282-kserve-prefill-7btn6wz","namespace":"e2e-test-llm-inference-service-48639af5"},"namespace":"e2e-test-llm-inference-service-48639af5","name":"llmisvc-model-pvc-router-manage-e8706282-kserve-prefill-7btn6wz","reconcileID":"e19ec24c-b262-4e91-953e-78663a10d04c"} [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-e8706282-epp-service [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-48639af5 [e2e-llm-inference-service] uid: 014e3103-2e3e-4732-bc1b-ceac74a5b11c [e2e-llm-inference-service] resourceVersion: '65204' [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:09:33Z' [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-pvc-router-manage-e8706282 [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: '2026-07-28T18:10:05Z' [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: '2026-07-28T18:10:05Z' [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: 10.133.0.55 [e2e-llm-inference-service] nodeName: ip-10-0-138-42.ec2.internal [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-48639af5 [e2e-llm-inference-service] name: llmisvcb19f98874e050eec8ca94d49676113f0-kserve-router-sche6w6xq [e2e-llm-inference-service] uid: 12cf73d0-83d4-442c-b7f5-f99c1661ee7b [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-e8706282-kserve-workload-svc [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-48639af5 [e2e-llm-inference-service] uid: 765a17e5-2e89-46ee-959d-477704b114b6 [e2e-llm-inference-service] resourceVersion: '66294' [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:09:33Z' [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-pvc-router-manage-e8706282 [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: '2026-07-28T18:11:31Z' [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: '2026-07-28T18:11:31Z' [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-10-0-133-48.ec2.internal [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-48639af5 [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-e8706282-kserve-prefill-7btn6wz [e2e-llm-inference-service] uid: bf8f4d24-54cd-4320-bcaf-a4643b6ff6f9 [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-e8706282-kserve-6d9fffb56cww6jv [e2e-llm-inference-service] generateName: llmisvc-model-pvc-router-manage-e8706282-kserve-6d9fffb56c- [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-48639af5 [e2e-llm-inference-service] uid: be65e6bd-4845-465d-a067-3c3520ebd76f [e2e-llm-inference-service] resourceVersion: '64646' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:09:33Z' [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-pvc-router-manage-e8706282 [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: 6d9fffb56c [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] k8s.ovn.org/pod-networks: '{"default":{"ip_addresses":["10.134.0.59/23"],"mac_address":"0a:58:0a:86:00:3b","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":"10.134.0.59/23","gateway_ip":"10.134.0.1","role":"primary"}}' [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-pvc-router-manage-e8706282-kserve-6d9fffb56c [e2e-llm-inference-service] uid: b5b04aef-172a-4987-b408-15a361d48904 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: ip-10-0-130-0 [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-28T18:09:33Z' [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] 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: '2026-07-28T18:09:33Z' [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":"b5b04aef-172a-4987-b408-15a361d48904"}: {} [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] 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-pvc-source"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:persistentVolumeClaim: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:claimName: {} [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: '2026-07-28T18:09:33Z' [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: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: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: llmisvb19f98874e050eec8ca94d49676113f0-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: kserve-pvc-source [e2e-llm-inference-service] persistentVolumeClaim: [e2e-llm-inference-service] claimName: e2e-pvc-model-storage [e2e-llm-inference-service] - name: kube-api-access-572qk [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: quay.io/opendatahub/odh-llm-d-router-disagg-sidecar:v0.9.0 [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=e2e-test-llm-inference-service-48639af5/llmisvc-model-pvc-router-manage-e8706282-inference-pool [e2e-llm-inference-service] - --secure-proxy=true [e2e-llm-inference-service] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] - --enable-tls=decoder [e2e-llm-inference-service] - --enable-tls=prefiller [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: llmisvc-model-pvc-router-manage-e8706282-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-572qk [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: 1000990000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: false [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: vllm/vllm-openai-cpu: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\" \"${VLLM_VERSION}\" | sort -V | head\ [e2e-llm-inference-service] \ -1)\" = \"0.18.0\" ]; then\n SHUTDOWN_TIMEOUT_ARGS=\"--shutdown-timeout 40\"\ [e2e-llm-inference-service] \nfi\n\n# --kv-transfer-config with OffloadingConnector requires vLLM 0.22.0+\ [e2e-llm-inference-service] \ (vllm-project/vllm#40020).\nKV_TRANSFER_ARGS=\"\"\nif [[ \"$VLLM_VERSION\"\ [e2e-llm-inference-service] \ =~ ^[0-9]+\\.[0-9]+ ]] && [ \"$(printf '%s\\n%s\\n' \"0.22.0\" \"${VLLM_VERSION}\"\ [e2e-llm-inference-service] \ | sort -V | head -1)\" = \"0.22.0\" ]; then\n if [[ \"${VLLM_ADDITIONAL_ARGS:-}\"\ [e2e-llm-inference-service] \ != *\"--kv-transfer-config\"* ]] && [[ \"${VLLM_ADDITIONAL_ARGS:-}\" != *\"\ [e2e-llm-inference-service] --kv_transfer_config\"* ]] && [[ \"$*\" != *\"--kv-transfer-config\"* ]] &&\ [e2e-llm-inference-service] \ [[ \"$*\" != *\"--kv_transfer_config\"* ]]; then\n KV_TRANSFER_ARGS=\"\"\ [e2e-llm-inference-service] \n fi\nfi\n\neval \"exec vllm serve /mnt/models \\\n --served-model-name \"\ [e2e-llm-inference-service] facebook/opt-125m\" \"publishers/e2e-test-llm-inference-service-48639af5/models/facebook/opt-125m\"\ [e2e-llm-inference-service] \ \\\n --port 8001 \\\n ${ACCESS_LOG_ARGS} \\\n ${SHUTDOWN_TIMEOUT_ARGS}\ [e2e-llm-inference-service] \ \\\n ${KV_TRANSFER_ARGS} \\\n \\\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: 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-pvc-source [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-572qk [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: 1000990000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: false [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-pvc-router-manage-e8706282-kserve [e2e-llm-inference-service] serviceAccount: llmisvc-model-pvc-router-manage-e8706282-kserve [e2e-llm-inference-service] nodeName: ip-10-0-130-0.ec2.internal [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] seLinuxOptions: [e2e-llm-inference-service] level: s0:c31,c30 [e2e-llm-inference-service] fsGroup: 1000990000 [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-7n2gk [e2e-llm-inference-service] - name: llmisvc-model-pvc-router-manage-e8706282-kserve-dockercfg-q4sgw [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: 'False' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-28T18:09:33Z' [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: '2026-07-28T18:09:33Z' [e2e-llm-inference-service] reason: ContainersNotInitialized [e2e-llm-inference-service] message: 'containers with incomplete status: [llm-d-routing-sidecar]' [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: '2026-07-28T18:09:33Z' [e2e-llm-inference-service] reason: ContainersNotReady [e2e-llm-inference-service] message: 'containers with unready status: [llm-d-routing-sidecar 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: '2026-07-28T18:09:33Z' [e2e-llm-inference-service] reason: ContainersNotReady [e2e-llm-inference-service] message: 'containers with unready status: [llm-d-routing-sidecar 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: '2026-07-28T18:09:33Z' [e2e-llm-inference-service] hostIP: 10.0.130.0 [e2e-llm-inference-service] hostIPs: [e2e-llm-inference-service] - ip: 10.0.130.0 [e2e-llm-inference-service] startTime: '2026-07-28T18:09:33Z' [e2e-llm-inference-service] initContainerStatuses: [e2e-llm-inference-service] - name: llm-d-routing-sidecar [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: quay.io/opendatahub/odh-llm-d-router-disagg-sidecar:v0.9.0 [e2e-llm-inference-service] imageID: '' [e2e-llm-inference-service] started: false [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-572qk [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] 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: vllm/vllm-openai-cpu: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-pvc-source [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-572qk [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-e8706282-kserve-prefill-7btn6wz [e2e-llm-inference-service] generateName: llmisvc-model-pvc-router-manage-e8706282-kserve-prefill-7b89cd7957- [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-48639af5 [e2e-llm-inference-service] uid: bf8f4d24-54cd-4320-bcaf-a4643b6ff6f9 [e2e-llm-inference-service] resourceVersion: '66293' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:09:33Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload-prefill [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-pvc-router-manage-e8706282 [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: 7b89cd7957 [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-model-pvc-router-manage-e8706282-kserve-prefill-7b89cd7957 [e2e-llm-inference-service] uid: 2003a27b-1e77-4b5c-921a-73145562e6e4 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: ip-10-0-133-48 [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-28T18:09:33Z' [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] 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: '2026-07-28T18:09:33Z' [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":"2003a27b-1e77-4b5c-921a-73145562e6e4"}: {} [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: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-pvc-source"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:persistentVolumeClaim: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:claimName: {} [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: '2026-07-28T18:09:41Z' [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: '2026-07-28T18:11:31Z' [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: 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: llmisvb19f98874e050eec8ca94d49676113f0-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: kserve-pvc-source [e2e-llm-inference-service] persistentVolumeClaim: [e2e-llm-inference-service] claimName: e2e-pvc-model-storage [e2e-llm-inference-service] - name: kube-api-access-gblbk [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: vllm/vllm-openai-cpu: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\" \"${VLLM_VERSION}\" | sort -V | head\ [e2e-llm-inference-service] \ -1)\" = \"0.18.0\" ]; then\n SHUTDOWN_TIMEOUT_ARGS=\"--shutdown-timeout 40\"\ [e2e-llm-inference-service] \nfi\n\n# --kv-transfer-config with OffloadingConnector requires vLLM 0.22.0+\ [e2e-llm-inference-service] \ (vllm-project/vllm#40020).\nKV_TRANSFER_ARGS=\"\"\nif [[ \"$VLLM_VERSION\"\ [e2e-llm-inference-service] \ =~ ^[0-9]+\\.[0-9]+ ]] && [ \"$(printf '%s\\n%s\\n' \"0.22.0\" \"${VLLM_VERSION}\"\ [e2e-llm-inference-service] \ | sort -V | head -1)\" = \"0.22.0\" ]; then\n if [[ \"${VLLM_ADDITIONAL_ARGS:-}\"\ [e2e-llm-inference-service] \ != *\"--kv-transfer-config\"* ]] && [[ \"${VLLM_ADDITIONAL_ARGS:-}\" != *\"\ [e2e-llm-inference-service] --kv_transfer_config\"* ]] && [[ \"$*\" != *\"--kv-transfer-config\"* ]] &&\ [e2e-llm-inference-service] \ [[ \"$*\" != *\"--kv_transfer_config\"* ]]; then\n KV_TRANSFER_ARGS=\"\"\ [e2e-llm-inference-service] \n fi\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 ${SHUTDOWN_TIMEOUT_ARGS}\ [e2e-llm-inference-service] \ \\\n ${KV_TRANSFER_ARGS} \\\n \\\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-pvc-source [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-gblbk [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: 1000990000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: false [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-10-0-133-48.ec2.internal [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] seLinuxOptions: [e2e-llm-inference-service] level: s0:c31,c30 [e2e-llm-inference-service] fsGroup: 1000990000 [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-7n2gk [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: '2026-07-28T18:09:42Z' [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: '2026-07-28T18:09:33Z' [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: '2026-07-28T18:11:31Z' [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: '2026-07-28T18:11:31Z' [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: '2026-07-28T18:09:33Z' [e2e-llm-inference-service] hostIP: 10.0.133.48 [e2e-llm-inference-service] hostIPs: [e2e-llm-inference-service] - ip: 10.0.133.48 [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: '2026-07-28T18:09:33Z' [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: '2026-07-28T18:09:41Z' [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: docker.io/vllm/vllm-openai-cpu:v0.19.0 [e2e-llm-inference-service] imageID: docker.io/vllm/vllm-openai-cpu@sha256:a8257c201fd2f696c146615987be61579aa2052367b73c27bd3fb1ab8e90bd4b [e2e-llm-inference-service] containerID: cri-o://7c1efb567073f412e331306f2531dc49ebbb56b89936912dd5b5a339c968d73b [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-pvc-source [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-gblbk [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: 1000990000 [e2e-llm-inference-service] gid: 0 [e2e-llm-inference-service] supplementalGroups: [e2e-llm-inference-service] - 0 [e2e-llm-inference-service] - 1000990000 [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvcb19f98874e050eec8ca94d49676113f0-kserve-router-sche6w6xq [e2e-llm-inference-service] generateName: llmisvcb19f98874e050eec8ca94d49676113f0-kserve-router-scheduler-7fc69df7b8- [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-48639af5 [e2e-llm-inference-service] uid: 12cf73d0-83d4-442c-b7f5-f99c1661ee7b [e2e-llm-inference-service] resourceVersion: '65202' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:09:33Z' [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-pvc-router-manage-e8706282 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 7fc69df7b8 [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] app.kubernetes.io/version: 0.10.0 [e2e-llm-inference-service] certificates.kserve.io/expiration-v2: 'true' [e2e-llm-inference-service] k8s.ovn.org/pod-networks: '{"default":{"ip_addresses":["10.133.0.55/23"],"mac_address":"0a:58:0a:85:00:37","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":"10.133.0.55/23","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 \"10.133.0.55\"\n ],\n\ [e2e-llm-inference-service] \ \"mac\": \"0a:58:0a:85:00:37\",\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: llmisvcb19f98874e050eec8ca94d49676113f0-kserve-router-scheduler-7fc69df7b8 [e2e-llm-inference-service] uid: f25d04de-5a3b-4962-a2df-21b11eddc53d [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: ip-10-0-138-42 [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-28T18:09:33Z' [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] 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: '2026-07-28T18:09:33Z' [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: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":"f25d04de-5a3b-4962-a2df-21b11eddc53d"}: {} [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: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: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] 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] - manager: multus-daemon [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-28T18:09:33Z' [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] 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: '2026-07-28T18:10:05Z' [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":"10.133.0.55"}: [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: llmisvb19f98874e050eec8ca94d49676113f0-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: kube-api-access-vdf5s [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: quay.io/opendatahub/odh-llm-d-router-endpoint-picker:v0.9.0 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/epp [e2e-llm-inference-service] - --pool-name [e2e-llm-inference-service] - llmisvc-model-pvc-router-manage-e8706282-inference-pool [e2e-llm-inference-service] - --pool-namespace [e2e-llm-inference-service] - e2e-test-llm-inference-service-48639af5 [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] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --config-text [e2e-llm-inference-service] - "apiVersion: llm-d.ai/v1alpha1\nkind: EndpointPickerConfig\nplugins:\n- type:\ [e2e-llm-inference-service] \ disagg-headers-handler\n- type: prefill-filter\n- type: decode-filter\n- type:\ [e2e-llm-inference-service] \ queue-scorer\n- type: kv-cache-utilization-scorer\n- type: active-request-scorer\n\ [e2e-llm-inference-service] - type: prefix-cache-scorer\n- type: max-score-picker\n- type: always-disagg-pd-decider\n\ [e2e-llm-inference-service] - parameters:\n deciders:\n prefill: always-disagg-pd-decider\n type:\ [e2e-llm-inference-service] \ disagg-profile-handler\n- parameters:\n scheme: https\n type: metrics-data-source\n\ [e2e-llm-inference-service] schedulingProfiles:\n- name: prefill\n plugins:\n - pluginRef: prefill-filter\n\ [e2e-llm-inference-service] \ - pluginRef: prefix-cache-scorer\n weight: 3\n - pluginRef: queue-scorer\n\ [e2e-llm-inference-service] \ weight: 2\n - pluginRef: kv-cache-utilization-scorer\n weight: 2\n\ [e2e-llm-inference-service] \ - pluginRef: max-score-picker\n- name: decode\n plugins:\n - pluginRef:\ [e2e-llm-inference-service] \ decode-filter\n - pluginRef: active-request-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] limits: [e2e-llm-inference-service] cpu: '6' [e2e-llm-inference-service] memory: 16Gi [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: kube-api-access-vdf5s [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: 1000990000 [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-pvc-router-manage-e8706282-epp-sa [e2e-llm-inference-service] serviceAccount: llmisvc-model-pvc-router-manage-e8706282-epp-sa [e2e-llm-inference-service] nodeName: ip-10-0-138-42.ec2.internal [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] seLinuxOptions: [e2e-llm-inference-service] level: s0:c31,c30 [e2e-llm-inference-service] fsGroup: 1000990000 [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-7n2gk [e2e-llm-inference-service] - name: llmisvc-model-pvc-router-manage-e8706282-epp-sa-dockercfg-mj2tg [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: '2026-07-28T18:09:34Z' [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: '2026-07-28T18:09:33Z' [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: '2026-07-28T18:10:05Z' [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: '2026-07-28T18:10:05Z' [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: '2026-07-28T18:09:33Z' [e2e-llm-inference-service] hostIP: 10.0.138.42 [e2e-llm-inference-service] hostIPs: [e2e-llm-inference-service] - ip: 10.0.138.42 [e2e-llm-inference-service] podIP: 10.133.0.55 [e2e-llm-inference-service] podIPs: [e2e-llm-inference-service] - ip: 10.133.0.55 [e2e-llm-inference-service] startTime: '2026-07-28T18:09:33Z' [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: '2026-07-28T18:09:33Z' [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/odh-llm-d-router-endpoint-picker:v0.9.0 [e2e-llm-inference-service] imageID: quay.io/opendatahub/odh-llm-d-router-endpoint-picker@sha256:7fd1d61cb5505e026eebab0b9653758779c3dee241e37bea92a0bab961a48c50 [e2e-llm-inference-service] containerID: cri-o://90bcad0efb423070f7a73ce16032044ab6ab1af7bf9f75af38aec8973c160da5 [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] limits: [e2e-llm-inference-service] cpu: '6' [e2e-llm-inference-service] memory: 16Gi [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: kube-api-access-vdf5s [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: 1000990000 [e2e-llm-inference-service] gid: 0 [e2e-llm-inference-service] supplementalGroups: [e2e-llm-inference-service] - 0 [e2e-llm-inference-service] - 1000990000 [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-e8706282-epp-sa [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-48639af5 [e2e-llm-inference-service] uid: ba497276-75cf-4a48-a7a4-29aeee13390c [e2e-llm-inference-service] resourceVersion: '64638' [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:09:33Z' [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-pvc-router-manage-e8706282 [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-pvc-router-manage-e8706282-epp-sa-dockercfg-mj2tg [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-pvc-router-manage-e8706282 [e2e-llm-inference-service] uid: 4571e603-3275-46fd-bd99-98aec30302af [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: '2026-07-28T18:09:33Z' [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-pvc-router-manage-e8706282-epp-sa-dockercfg-mj2tg"}: {} [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-28T18:09:33Z' [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":"4571e603-3275-46fd-bd99-98aec30302af"}: {} [e2e-llm-inference-service] f:secrets: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"default-dockercfg-7n2gk"}: {} [e2e-llm-inference-service] k:{"name":"seaweedfs-s3-creds"}: {} [e2e-llm-inference-service] secrets: [e2e-llm-inference-service] - name: seaweedfs-s3-creds [e2e-llm-inference-service] - name: default-dockercfg-7n2gk [e2e-llm-inference-service] - name: llmisvc-model-pvc-router-manage-e8706282-epp-sa-dockercfg-mj2tg [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-7n2gk [e2e-llm-inference-service] - name: llmisvc-model-pvc-router-manage-e8706282-epp-sa-dockercfg-mj2tg [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: ServiceAccount [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-e8706282-kserve [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-48639af5 [e2e-llm-inference-service] uid: f865b580-4f9f-4257-99b7-cc0366d8d402 [e2e-llm-inference-service] resourceVersion: '64599' [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:09:32Z' [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-pvc-router-manage-e8706282 [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-pvc-router-manage-e8706282-kserve-dockercfg-q4sgw [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-pvc-router-manage-e8706282 [e2e-llm-inference-service] uid: 4571e603-3275-46fd-bd99-98aec30302af [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: '2026-07-28T18:09:32Z' [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-pvc-router-manage-e8706282-kserve-dockercfg-q4sgw"}: {} [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-28T18:09:32Z' [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":"4571e603-3275-46fd-bd99-98aec30302af"}: {} [e2e-llm-inference-service] f:secrets: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"default-dockercfg-7n2gk"}: {} [e2e-llm-inference-service] k:{"name":"seaweedfs-s3-creds"}: {} [e2e-llm-inference-service] secrets: [e2e-llm-inference-service] - name: seaweedfs-s3-creds [e2e-llm-inference-service] - name: default-dockercfg-7n2gk [e2e-llm-inference-service] - name: llmisvc-model-pvc-router-manage-e8706282-kserve-dockercfg-q4sgw [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-7n2gk [e2e-llm-inference-service] - name: llmisvc-model-pvc-router-manage-e8706282-kserve-dockercfg-q4sgw [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: ServiceAccount [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-e8706282-epp-service [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-48639af5 [e2e-llm-inference-service] uid: b26054d1-f5b2-4c9d-b9ee-4926640ed24a [e2e-llm-inference-service] resourceVersion: '64665' [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:09:33Z' [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-pvc-router-manage-e8706282 [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-pvc-router-manage-e8706282 [e2e-llm-inference-service] uid: 4571e603-3275-46fd-bd99-98aec30302af [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: '2026-07-28T18:09:33Z' [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":"4571e603-3275-46fd-bd99-98aec30302af"}: {} [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-pvc-router-manage-e8706282 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] clusterIP: 172.31.124.45 [e2e-llm-inference-service] clusterIPs: [e2e-llm-inference-service] - 172.31.124.45 [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-e8706282-kserve-workload-svc [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-48639af5 [e2e-llm-inference-service] uid: d3cd2fc4-1d2a-489b-8a3a-8e9da4ec4b56 [e2e-llm-inference-service] resourceVersion: '64622' [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:09:33Z' [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-pvc-router-manage-e8706282 [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-pvc-router-manage-e8706282 [e2e-llm-inference-service] uid: 4571e603-3275-46fd-bd99-98aec30302af [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: '2026-07-28T18:09:33Z' [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":"4571e603-3275-46fd-bd99-98aec30302af"}: {} [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-pvc-router-manage-e8706282 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] clusterIP: 172.31.137.142 [e2e-llm-inference-service] clusterIPs: [e2e-llm-inference-service] - 172.31.137.142 [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-e8706282-kserve [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-48639af5 [e2e-llm-inference-service] uid: ee5e507e-865b-4231-867c-4521e2638e72 [e2e-llm-inference-service] resourceVersion: '71551' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:09:32Z' [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-pvc-router-manage-e8706282 [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: llmisvc-model-pvc-router-manage-e8706282 [e2e-llm-inference-service] uid: 4571e603-3275-46fd-bd99-98aec30302af [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: '2026-07-28T18:09:32Z' [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":"4571e603-3275-46fd-bd99-98aec30302af"}: {} [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] 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-pvc-source"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:persistentVolumeClaim: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:claimName: {} [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: '2026-07-28T18:19:34Z' [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-pvc-router-manage-e8706282 [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: llmisvc-model-pvc-router-manage-e8706282 [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: llmisvb19f98874e050eec8ca94d49676113f0-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: kserve-pvc-source [e2e-llm-inference-service] persistentVolumeClaim: [e2e-llm-inference-service] claimName: e2e-pvc-model-storage [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: llm-d-routing-sidecar [e2e-llm-inference-service] image: quay.io/opendatahub/odh-llm-d-router-disagg-sidecar:v0.9.0 [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=e2e-test-llm-inference-service-48639af5/llmisvc-model-pvc-router-manage-e8706282-inference-pool [e2e-llm-inference-service] - --secure-proxy=true [e2e-llm-inference-service] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] - --enable-tls=decoder [e2e-llm-inference-service] - --enable-tls=prefiller [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: llmisvc-model-pvc-router-manage-e8706282-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: false [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: vllm/vllm-openai-cpu: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\" \"${VLLM_VERSION}\" | sort\ [e2e-llm-inference-service] \ -V | head -1)\" = \"0.18.0\" ]; then\n SHUTDOWN_TIMEOUT_ARGS=\"--shutdown-timeout\ [e2e-llm-inference-service] \ 40\"\nfi\n\n# --kv-transfer-config with OffloadingConnector requires vLLM\ [e2e-llm-inference-service] \ 0.22.0+ (vllm-project/vllm#40020).\nKV_TRANSFER_ARGS=\"\"\nif [[ \"$VLLM_VERSION\"\ [e2e-llm-inference-service] \ =~ ^[0-9]+\\.[0-9]+ ]] && [ \"$(printf '%s\\n%s\\n' \"0.22.0\" \"${VLLM_VERSION}\"\ [e2e-llm-inference-service] \ | sort -V | head -1)\" = \"0.22.0\" ]; then\n if [[ \"${VLLM_ADDITIONAL_ARGS:-}\"\ [e2e-llm-inference-service] \ != *\"--kv-transfer-config\"* ]] && [[ \"${VLLM_ADDITIONAL_ARGS:-}\" !=\ [e2e-llm-inference-service] \ *\"--kv_transfer_config\"* ]] && [[ \"$*\" != *\"--kv-transfer-config\"\ [e2e-llm-inference-service] * ]] && [[ \"$*\" != *\"--kv_transfer_config\"* ]]; then\n KV_TRANSFER_ARGS=\"\ [e2e-llm-inference-service] \"\n fi\nfi\n\neval \"exec vllm serve /mnt/models \\\n --served-model-name\ [e2e-llm-inference-service] \ \"facebook/opt-125m\" \"publishers/e2e-test-llm-inference-service-48639af5/models/facebook/opt-125m\"\ [e2e-llm-inference-service] \ \\\n --port 8001 \\\n ${ACCESS_LOG_ARGS} \\\n ${SHUTDOWN_TIMEOUT_ARGS}\ [e2e-llm-inference-service] \ \\\n ${KV_TRANSFER_ARGS} \\\n \\\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: 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-pvc-source [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: false [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-pvc-router-manage-e8706282-kserve [e2e-llm-inference-service] serviceAccount: llmisvc-model-pvc-router-manage-e8706282-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] unavailableReplicas: 1 [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - type: Available [e2e-llm-inference-service] status: 'False' [e2e-llm-inference-service] lastUpdateTime: '2026-07-28T18:09:33Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-28T18:09:33Z' [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: '2026-07-28T18:19:34Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-28T18:19:34Z' [e2e-llm-inference-service] reason: ProgressDeadlineExceeded [e2e-llm-inference-service] message: ReplicaSet "llmisvc-model-pvc-router-manage-e8706282-kserve-6d9fffb56c" [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-e8706282-kserve-prefill [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-48639af5 [e2e-llm-inference-service] uid: 10a8425e-547c-4840-bebe-df2f69b55113 [e2e-llm-inference-service] resourceVersion: '66299' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:09:33Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload-prefill [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-pvc-router-manage-e8706282 [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: llmisvc-model-pvc-router-manage-e8706282 [e2e-llm-inference-service] uid: 4571e603-3275-46fd-bd99-98aec30302af [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: '2026-07-28T18:09:33Z' [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":"4571e603-3275-46fd-bd99-98aec30302af"}: {} [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: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-pvc-source"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:persistentVolumeClaim: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:claimName: {} [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: '2026-07-28T18:11:31Z' [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-prefill [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-pvc-router-manage-e8706282 [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: llmisvc-model-pvc-router-manage-e8706282 [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: llmisvb19f98874e050eec8ca94d49676113f0-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: kserve-pvc-source [e2e-llm-inference-service] persistentVolumeClaim: [e2e-llm-inference-service] claimName: e2e-pvc-model-storage [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: vllm/vllm-openai-cpu: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\" \"${VLLM_VERSION}\" | sort\ [e2e-llm-inference-service] \ -V | head -1)\" = \"0.18.0\" ]; then\n SHUTDOWN_TIMEOUT_ARGS=\"--shutdown-timeout\ [e2e-llm-inference-service] \ 40\"\nfi\n\n# --kv-transfer-config with OffloadingConnector requires vLLM\ [e2e-llm-inference-service] \ 0.22.0+ (vllm-project/vllm#40020).\nKV_TRANSFER_ARGS=\"\"\nif [[ \"$VLLM_VERSION\"\ [e2e-llm-inference-service] \ =~ ^[0-9]+\\.[0-9]+ ]] && [ \"$(printf '%s\\n%s\\n' \"0.22.0\" \"${VLLM_VERSION}\"\ [e2e-llm-inference-service] \ | sort -V | head -1)\" = \"0.22.0\" ]; then\n if [[ \"${VLLM_ADDITIONAL_ARGS:-}\"\ [e2e-llm-inference-service] \ != *\"--kv-transfer-config\"* ]] && [[ \"${VLLM_ADDITIONAL_ARGS:-}\" !=\ [e2e-llm-inference-service] \ *\"--kv_transfer_config\"* ]] && [[ \"$*\" != *\"--kv-transfer-config\"\ [e2e-llm-inference-service] * ]] && [[ \"$*\" != *\"--kv_transfer_config\"* ]]; then\n KV_TRANSFER_ARGS=\"\ [e2e-llm-inference-service] \"\n fi\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 ${KV_TRANSFER_ARGS} \\\n \\\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-pvc-source [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: false [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: '2026-07-28T18:11:31Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-28T18:11:31Z' [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: '2026-07-28T18:11:31Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-28T18:09:33Z' [e2e-llm-inference-service] reason: NewReplicaSetAvailable [e2e-llm-inference-service] message: ReplicaSet "llmisvc-model-pvc-router-manage-e8706282-kserve-prefill-7b89cd7957" [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvcb19f98874e050eec8ca94d49676113f0-kserve-router-scheduler [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-48639af5 [e2e-llm-inference-service] uid: e9366581-493a-4e3d-bb13-71701d08e72d [e2e-llm-inference-service] resourceVersion: '65207' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:09:33Z' [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-pvc-router-manage-e8706282 [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-pvc-router-manage-e8706282 [e2e-llm-inference-service] uid: 4571e603-3275-46fd-bd99-98aec30302af [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: '2026-07-28T18:09:33Z' [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":"4571e603-3275-46fd-bd99-98aec30302af"}: {} [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: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: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] 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] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-28T18:10:05Z' [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-pvc-router-manage-e8706282 [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-pvc-router-manage-e8706282 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] app.kubernetes.io/version: 0.10.0 [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: llmisvb19f98874e050eec8ca94d49676113f0-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: quay.io/opendatahub/odh-llm-d-router-endpoint-picker:v0.9.0 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/epp [e2e-llm-inference-service] - --pool-name [e2e-llm-inference-service] - llmisvc-model-pvc-router-manage-e8706282-inference-pool [e2e-llm-inference-service] - --pool-namespace [e2e-llm-inference-service] - e2e-test-llm-inference-service-48639af5 [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] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --config-text [e2e-llm-inference-service] - "apiVersion: llm-d.ai/v1alpha1\nkind: EndpointPickerConfig\nplugins:\n-\ [e2e-llm-inference-service] \ type: disagg-headers-handler\n- type: prefill-filter\n- type: decode-filter\n\ [e2e-llm-inference-service] - type: queue-scorer\n- type: kv-cache-utilization-scorer\n- type: active-request-scorer\n\ [e2e-llm-inference-service] - type: prefix-cache-scorer\n- type: max-score-picker\n- type: always-disagg-pd-decider\n\ [e2e-llm-inference-service] - parameters:\n deciders:\n prefill: always-disagg-pd-decider\n\ [e2e-llm-inference-service] \ type: disagg-profile-handler\n- parameters:\n scheme: https\n type:\ [e2e-llm-inference-service] \ metrics-data-source\nschedulingProfiles:\n- name: prefill\n plugins:\n\ [e2e-llm-inference-service] \ - pluginRef: prefill-filter\n - pluginRef: prefix-cache-scorer\n \ [e2e-llm-inference-service] \ weight: 3\n - pluginRef: queue-scorer\n weight: 2\n - pluginRef:\ [e2e-llm-inference-service] \ kv-cache-utilization-scorer\n weight: 2\n - pluginRef: max-score-picker\n\ [e2e-llm-inference-service] - name: decode\n plugins:\n - pluginRef: decode-filter\n - pluginRef:\ [e2e-llm-inference-service] \ active-request-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] limits: [e2e-llm-inference-service] cpu: '6' [e2e-llm-inference-service] memory: 16Gi [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] 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-pvc-router-manage-e8706282-epp-sa [e2e-llm-inference-service] serviceAccount: llmisvc-model-pvc-router-manage-e8706282-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: '2026-07-28T18:10:05Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-28T18:10:05Z' [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: '2026-07-28T18:10:05Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-28T18:09:33Z' [e2e-llm-inference-service] reason: NewReplicaSetAvailable [e2e-llm-inference-service] message: ReplicaSet "llmisvcb19f98874e050eec8ca94d49676113f0-kserve-router-scheduler-7fc69df7b8" [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-e8706282-kserve-6d9fffb56c [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-48639af5 [e2e-llm-inference-service] uid: b5b04aef-172a-4987-b408-15a361d48904 [e2e-llm-inference-service] resourceVersion: '64635' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:09:33Z' [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-pvc-router-manage-e8706282 [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: 6d9fffb56c [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-pvc-router-manage-e8706282-kserve [e2e-llm-inference-service] uid: ee5e507e-865b-4231-867c-4521e2638e72 [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: '2026-07-28T18:09:33Z' [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/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":"ee5e507e-865b-4231-867c-4521e2638e72"}: {} [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] 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-pvc-source"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:persistentVolumeClaim: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:claimName: {} [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: '2026-07-28T18:09:33Z' [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-pvc-router-manage-e8706282 [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: 6d9fffb56c [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-pvc-router-manage-e8706282 [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: 6d9fffb56c [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: llmisvb19f98874e050eec8ca94d49676113f0-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: kserve-pvc-source [e2e-llm-inference-service] persistentVolumeClaim: [e2e-llm-inference-service] claimName: e2e-pvc-model-storage [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: llm-d-routing-sidecar [e2e-llm-inference-service] image: quay.io/opendatahub/odh-llm-d-router-disagg-sidecar:v0.9.0 [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=e2e-test-llm-inference-service-48639af5/llmisvc-model-pvc-router-manage-e8706282-inference-pool [e2e-llm-inference-service] - --secure-proxy=true [e2e-llm-inference-service] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] - --enable-tls=decoder [e2e-llm-inference-service] - --enable-tls=prefiller [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: llmisvc-model-pvc-router-manage-e8706282-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: false [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: vllm/vllm-openai-cpu: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\" \"${VLLM_VERSION}\" | sort\ [e2e-llm-inference-service] \ -V | head -1)\" = \"0.18.0\" ]; then\n SHUTDOWN_TIMEOUT_ARGS=\"--shutdown-timeout\ [e2e-llm-inference-service] \ 40\"\nfi\n\n# --kv-transfer-config with OffloadingConnector requires vLLM\ [e2e-llm-inference-service] \ 0.22.0+ (vllm-project/vllm#40020).\nKV_TRANSFER_ARGS=\"\"\nif [[ \"$VLLM_VERSION\"\ [e2e-llm-inference-service] \ =~ ^[0-9]+\\.[0-9]+ ]] && [ \"$(printf '%s\\n%s\\n' \"0.22.0\" \"${VLLM_VERSION}\"\ [e2e-llm-inference-service] \ | sort -V | head -1)\" = \"0.22.0\" ]; then\n if [[ \"${VLLM_ADDITIONAL_ARGS:-}\"\ [e2e-llm-inference-service] \ != *\"--kv-transfer-config\"* ]] && [[ \"${VLLM_ADDITIONAL_ARGS:-}\" !=\ [e2e-llm-inference-service] \ *\"--kv_transfer_config\"* ]] && [[ \"$*\" != *\"--kv-transfer-config\"\ [e2e-llm-inference-service] * ]] && [[ \"$*\" != *\"--kv_transfer_config\"* ]]; then\n KV_TRANSFER_ARGS=\"\ [e2e-llm-inference-service] \"\n fi\nfi\n\neval \"exec vllm serve /mnt/models \\\n --served-model-name\ [e2e-llm-inference-service] \ \"facebook/opt-125m\" \"publishers/e2e-test-llm-inference-service-48639af5/models/facebook/opt-125m\"\ [e2e-llm-inference-service] \ \\\n --port 8001 \\\n ${ACCESS_LOG_ARGS} \\\n ${SHUTDOWN_TIMEOUT_ARGS}\ [e2e-llm-inference-service] \ \\\n ${KV_TRANSFER_ARGS} \\\n \\\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: 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-pvc-source [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: false [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-pvc-router-manage-e8706282-kserve [e2e-llm-inference-service] serviceAccount: llmisvc-model-pvc-router-manage-e8706282-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] 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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-e8706282-kserve-prefill-7b89cd7957 [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-48639af5 [e2e-llm-inference-service] uid: 2003a27b-1e77-4b5c-921a-73145562e6e4 [e2e-llm-inference-service] resourceVersion: '66298' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:09:33Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload-prefill [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-pvc-router-manage-e8706282 [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: 7b89cd7957 [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-pvc-router-manage-e8706282-kserve-prefill [e2e-llm-inference-service] uid: 10a8425e-547c-4840-bebe-df2f69b55113 [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: '2026-07-28T18:09:33Z' [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/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":"10a8425e-547c-4840-bebe-df2f69b55113"}: {} [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: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-pvc-source"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:persistentVolumeClaim: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:claimName: {} [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: '2026-07-28T18:11:31Z' [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-prefill [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-pvc-router-manage-e8706282 [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: 7b89cd7957 [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: llmisvc-model-pvc-router-manage-e8706282 [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: 7b89cd7957 [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: llmisvb19f98874e050eec8ca94d49676113f0-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: kserve-pvc-source [e2e-llm-inference-service] persistentVolumeClaim: [e2e-llm-inference-service] claimName: e2e-pvc-model-storage [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: vllm/vllm-openai-cpu: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\" \"${VLLM_VERSION}\" | sort\ [e2e-llm-inference-service] \ -V | head -1)\" = \"0.18.0\" ]; then\n SHUTDOWN_TIMEOUT_ARGS=\"--shutdown-timeout\ [e2e-llm-inference-service] \ 40\"\nfi\n\n# --kv-transfer-config with OffloadingConnector requires vLLM\ [e2e-llm-inference-service] \ 0.22.0+ (vllm-project/vllm#40020).\nKV_TRANSFER_ARGS=\"\"\nif [[ \"$VLLM_VERSION\"\ [e2e-llm-inference-service] \ =~ ^[0-9]+\\.[0-9]+ ]] && [ \"$(printf '%s\\n%s\\n' \"0.22.0\" \"${VLLM_VERSION}\"\ [e2e-llm-inference-service] \ | sort -V | head -1)\" = \"0.22.0\" ]; then\n if [[ \"${VLLM_ADDITIONAL_ARGS:-}\"\ [e2e-llm-inference-service] \ != *\"--kv-transfer-config\"* ]] && [[ \"${VLLM_ADDITIONAL_ARGS:-}\" !=\ [e2e-llm-inference-service] \ *\"--kv_transfer_config\"* ]] && [[ \"$*\" != *\"--kv-transfer-config\"\ [e2e-llm-inference-service] * ]] && [[ \"$*\" != *\"--kv_transfer_config\"* ]]; then\n KV_TRANSFER_ARGS=\"\ [e2e-llm-inference-service] \"\n fi\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 ${KV_TRANSFER_ARGS} \\\n \\\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-pvc-source [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: false [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvcb19f98874e050eec8ca94d49676113f0-kserve-router-scheduler-7fc69df7b8 [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-48639af5 [e2e-llm-inference-service] uid: f25d04de-5a3b-4962-a2df-21b11eddc53d [e2e-llm-inference-service] resourceVersion: '65205' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:09:33Z' [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-pvc-router-manage-e8706282 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 7fc69df7b8 [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: llmisvcb19f98874e050eec8ca94d49676113f0-kserve-router-scheduler [e2e-llm-inference-service] uid: e9366581-493a-4e3d-bb13-71701d08e72d [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: '2026-07-28T18:09:33Z' [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/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":"e9366581-493a-4e3d-bb13-71701d08e72d"}: {} [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: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: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] 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] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-28T18:10:05Z' [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-pvc-router-manage-e8706282 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 7fc69df7b8 [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-pvc-router-manage-e8706282 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 7fc69df7b8 [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] app.kubernetes.io/version: 0.10.0 [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: llmisvb19f98874e050eec8ca94d49676113f0-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: quay.io/opendatahub/odh-llm-d-router-endpoint-picker:v0.9.0 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/epp [e2e-llm-inference-service] - --pool-name [e2e-llm-inference-service] - llmisvc-model-pvc-router-manage-e8706282-inference-pool [e2e-llm-inference-service] - --pool-namespace [e2e-llm-inference-service] - e2e-test-llm-inference-service-48639af5 [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] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --config-text [e2e-llm-inference-service] - "apiVersion: llm-d.ai/v1alpha1\nkind: EndpointPickerConfig\nplugins:\n-\ [e2e-llm-inference-service] \ type: disagg-headers-handler\n- type: prefill-filter\n- type: decode-filter\n\ [e2e-llm-inference-service] - type: queue-scorer\n- type: kv-cache-utilization-scorer\n- type: active-request-scorer\n\ [e2e-llm-inference-service] - type: prefix-cache-scorer\n- type: max-score-picker\n- type: always-disagg-pd-decider\n\ [e2e-llm-inference-service] - parameters:\n deciders:\n prefill: always-disagg-pd-decider\n\ [e2e-llm-inference-service] \ type: disagg-profile-handler\n- parameters:\n scheme: https\n type:\ [e2e-llm-inference-service] \ metrics-data-source\nschedulingProfiles:\n- name: prefill\n plugins:\n\ [e2e-llm-inference-service] \ - pluginRef: prefill-filter\n - pluginRef: prefix-cache-scorer\n \ [e2e-llm-inference-service] \ weight: 3\n - pluginRef: queue-scorer\n weight: 2\n - pluginRef:\ [e2e-llm-inference-service] \ kv-cache-utilization-scorer\n weight: 2\n - pluginRef: max-score-picker\n\ [e2e-llm-inference-service] - name: decode\n plugins:\n - pluginRef: decode-filter\n - pluginRef:\ [e2e-llm-inference-service] \ active-request-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] limits: [e2e-llm-inference-service] cpu: '6' [e2e-llm-inference-service] memory: 16Gi [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] 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-pvc-router-manage-e8706282-epp-sa [e2e-llm-inference-service] serviceAccount: llmisvc-model-pvc-router-manage-e8706282-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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-e8706282-epp-rb [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-48639af5 [e2e-llm-inference-service] uid: 314f47c7-fbb6-46b8-ac61-46d26c48b968 [e2e-llm-inference-service] resourceVersion: '64655' [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:09:33Z' [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-pvc-router-manage-e8706282 [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-pvc-router-manage-e8706282 [e2e-llm-inference-service] uid: 4571e603-3275-46fd-bd99-98aec30302af [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: '2026-07-28T18:09:33Z' [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":"4571e603-3275-46fd-bd99-98aec30302af"}: {} [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-pvc-router-manage-e8706282-epp-sa [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-48639af5 [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-pvc-router-manage-e8706282-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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-e8706282-kserve-rb [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-48639af5 [e2e-llm-inference-service] uid: 665ad86b-f9be-4fd0-b516-89f4f9452ea1 [e2e-llm-inference-service] resourceVersion: '64606' [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:09:32Z' [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-pvc-router-manage-e8706282 [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-pvc-router-manage-e8706282 [e2e-llm-inference-service] uid: 4571e603-3275-46fd-bd99-98aec30302af [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: '2026-07-28T18:09:32Z' [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":"4571e603-3275-46fd-bd99-98aec30302af"}: {} [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-pvc-router-manage-e8706282-kserve [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-48639af5 [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-pvc-router-manage-e8706282-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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-e8706282-epp-role [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-48639af5 [e2e-llm-inference-service] uid: 7b8aedee-0cea-4447-9710-f734fa58385c [e2e-llm-inference-service] resourceVersion: '64653' [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:09:33Z' [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-pvc-router-manage-e8706282 [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-pvc-router-manage-e8706282 [e2e-llm-inference-service] uid: 4571e603-3275-46fd-bd99-98aec30302af [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: '2026-07-28T18:09:33Z' [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":"4571e603-3275-46fd-bd99-98aec30302af"}: {} [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] - llm-d.ai [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferenceobjectives [e2e-llm-inference-service] - inferencemodelrewrites [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-e8706282-kserve-role [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-48639af5 [e2e-llm-inference-service] uid: 9b455c85-f1f9-4d8a-b435-2e2df09f16a9 [e2e-llm-inference-service] resourceVersion: '64602' [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:09:32Z' [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-pvc-router-manage-e8706282 [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-pvc-router-manage-e8706282 [e2e-llm-inference-service] uid: 4571e603-3275-46fd-bd99-98aec30302af [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: '2026-07-28T18:09:32Z' [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":"4571e603-3275-46fd-bd99-98aec30302af"}: {} [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-e8706282-epp-service-zpn8n [e2e-llm-inference-service] generateName: llmisvc-model-pvc-router-manage-e8706282-epp-service- [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-48639af5 [e2e-llm-inference-service] uid: c8290340-aaf6-4cde-8c31-f93de4350e95 [e2e-llm-inference-service] resourceVersion: '65206' [e2e-llm-inference-service] generation: 3 [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:09:33Z' [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-pvc-router-manage-e8706282 [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-pvc-router-manage-e8706282-epp-service [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] endpoints.kubernetes.io/last-change-trigger-time: '2026-07-28T18:10:05Z' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: v1 [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-e8706282-epp-service [e2e-llm-inference-service] uid: b26054d1-f5b2-4c9d-b9ee-4926640ed24a [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: '2026-07-28T18:10:05Z' [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":"b26054d1-f5b2-4c9d-b9ee-4926640ed24a"}: {} [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] - 10.133.0.55 [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: e2e-test-llm-inference-service-48639af5 [e2e-llm-inference-service] name: llmisvcb19f98874e050eec8ca94d49676113f0-kserve-router-sche6w6xq [e2e-llm-inference-service] uid: 12cf73d0-83d4-442c-b7f5-f99c1661ee7b [e2e-llm-inference-service] nodeName: ip-10-0-138-42.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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-e8706282-kserve-workload-slrfzj [e2e-llm-inference-service] generateName: llmisvc-model-pvc-router-manage-e8706282-kserve-workload-svc- [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-48639af5 [e2e-llm-inference-service] uid: 0a4c4427-f8e6-42a1-b243-b73c6f2d8c4f [e2e-llm-inference-service] resourceVersion: '66297' [e2e-llm-inference-service] generation: 3 [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:09:33Z' [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-pvc-router-manage-e8706282 [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-pvc-router-manage-e8706282-kserve-workload-svc [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] endpoints.kubernetes.io/last-change-trigger-time: '2026-07-28T18:11:31Z' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: v1 [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-e8706282-kserve-workload-svc [e2e-llm-inference-service] uid: d3cd2fc4-1d2a-489b-8a3a-8e9da4ec4b56 [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: '2026-07-28T18:11:31Z' [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":"d3cd2fc4-1d2a-489b-8a3a-8e9da4ec4b56"}: {} [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: e2e-test-llm-inference-service-48639af5 [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-e8706282-kserve-prefill-7btn6wz [e2e-llm-inference-service] uid: bf8f4d24-54cd-4320-bcaf-a4643b6ff6f9 [e2e-llm-inference-service] nodeName: ip-10-0-133-48.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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-e8706282-epp-rb [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-48639af5 [e2e-llm-inference-service] uid: 314f47c7-fbb6-46b8-ac61-46d26c48b968 [e2e-llm-inference-service] resourceVersion: '64655' [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:09:33Z' [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-pvc-router-manage-e8706282 [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-pvc-router-manage-e8706282 [e2e-llm-inference-service] uid: 4571e603-3275-46fd-bd99-98aec30302af [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: '2026-07-28T18:09:33Z' [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":"4571e603-3275-46fd-bd99-98aec30302af"}: {} [e2e-llm-inference-service] f:roleRef: {} [e2e-llm-inference-service] f:subjects: {} [e2e-llm-inference-service] userNames: [e2e-llm-inference-service] - system:serviceaccount:e2e-test-llm-inference-service-48639af5:llmisvc-model-pvc-router-manage-e8706282-epp-sa [e2e-llm-inference-service] groupNames: null [e2e-llm-inference-service] subjects: [e2e-llm-inference-service] - kind: ServiceAccount [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-48639af5 [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-e8706282-epp-sa [e2e-llm-inference-service] roleRef: [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-48639af5 [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-e8706282-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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-e8706282-kserve-rb [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-48639af5 [e2e-llm-inference-service] uid: 665ad86b-f9be-4fd0-b516-89f4f9452ea1 [e2e-llm-inference-service] resourceVersion: '64606' [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:09:32Z' [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-pvc-router-manage-e8706282 [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-pvc-router-manage-e8706282 [e2e-llm-inference-service] uid: 4571e603-3275-46fd-bd99-98aec30302af [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: '2026-07-28T18:09:32Z' [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":"4571e603-3275-46fd-bd99-98aec30302af"}: {} [e2e-llm-inference-service] f:roleRef: {} [e2e-llm-inference-service] f:subjects: {} [e2e-llm-inference-service] userNames: [e2e-llm-inference-service] - system:serviceaccount:e2e-test-llm-inference-service-48639af5:llmisvc-model-pvc-router-manage-e8706282-kserve [e2e-llm-inference-service] groupNames: null [e2e-llm-inference-service] subjects: [e2e-llm-inference-service] - kind: ServiceAccount [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-48639af5 [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-e8706282-kserve [e2e-llm-inference-service] roleRef: [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-48639af5 [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-e8706282-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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-e8706282-epp-role [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-48639af5 [e2e-llm-inference-service] uid: 7b8aedee-0cea-4447-9710-f734fa58385c [e2e-llm-inference-service] resourceVersion: '64653' [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:09:33Z' [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-pvc-router-manage-e8706282 [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-pvc-router-manage-e8706282 [e2e-llm-inference-service] uid: 4571e603-3275-46fd-bd99-98aec30302af [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: '2026-07-28T18:09:33Z' [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":"4571e603-3275-46fd-bd99-98aec30302af"}: {} [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] - llm-d.ai [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencemodelrewrites [e2e-llm-inference-service] - inferenceobjectives [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-e8706282-kserve-role [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-48639af5 [e2e-llm-inference-service] uid: 9b455c85-f1f9-4d8a-b435-2e2df09f16a9 [e2e-llm-inference-service] resourceVersion: '64602' [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:09:32Z' [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-pvc-router-manage-e8706282 [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-pvc-router-manage-e8706282 [e2e-llm-inference-service] uid: 4571e603-3275-46fd-bd99-98aec30302af [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: '2026-07-28T18:09:32Z' [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":"4571e603-3275-46fd-bd99-98aec30302af"}: {} [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 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: '2026-07-28T18:09:33Z' [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-pvc-router-manage-e8706282 [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":"4571e603-3275-46fd-bd99-98aec30302af"}: {} [e2e-llm-inference-service] f:spec: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-28T18:09:57Z' [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: '2026-07-28T18:09:57Z' [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: '2026-07-28T18:09:59Z' [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-e8706282-kserve-route [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-48639af5 [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-pvc-router-manage-e8706282 [e2e-llm-inference-service] uid: 4571e603-3275-46fd-bd99-98aec30302af [e2e-llm-inference-service] resourceVersion: '65125' [e2e-llm-inference-service] uid: 71d4dcc1-5ffa-4f10-bc78-578d52ab3cb8 [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-pvc-router-manage-e8706282-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: /e2e-test-llm-inference-service-48639af5/llmisvc-model-pvc-router-manage-e8706282/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-pvc-router-manage-e8706282-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: /e2e-test-llm-inference-service-48639af5/llmisvc-model-pvc-router-manage-e8706282/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-pvc-router-manage-e8706282-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: /e2e-test-llm-inference-service-48639af5/llmisvc-model-pvc-router-manage-e8706282/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-pvc-router-manage-e8706282-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: /e2e-test-llm-inference-service-48639af5/llmisvc-model-pvc-router-manage-e8706282/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-pvc-router-manage-e8706282-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/e2e-test-llm-inference-service-48639af5/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/e2e-test-llm-inference-service-48639af5/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/e2e-test-llm-inference-service-48639af5/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/e2e-test-llm-inference-service-48639af5/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/e2e-test-llm-inference-service-48639af5/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/e2e-test-llm-inference-service-48639af5/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/e2e-test-llm-inference-service-48639af5/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/e2e-test-llm-inference-service-48639af5/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: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-e8706282-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: /publishers/e2e-test-llm-inference-service-48639af5/models/facebook/opt-125m/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-pvc-router-manage-e8706282-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: /publishers/e2e-test-llm-inference-service-48639af5/models/facebook/opt-125m/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-pvc-router-manage-e8706282-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: /publishers/e2e-test-llm-inference-service-48639af5/models/facebook/opt-125m/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-pvc-router-manage-e8706282-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: /publishers/e2e-test-llm-inference-service-48639af5/models/facebook/opt-125m/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-pvc-router-manage-e8706282-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: /publishers/e2e-test-llm-inference-service-48639af5/models/facebook/opt-125m [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-pvc-router-manage-e8706282-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: /e2e-test-llm-inference-service-48639af5/llmisvc-model-pvc-router-manage-e8706282 [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-pvc-router-manage-e8706282-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/e2e-test-llm-inference-service-48639af5/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: '2026-07-28T18:09:33Z' [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: '2026-07-28T18:09:57Z' [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: '2026-07-28T18:09:34Z' [e2e-llm-inference-service] message: Object affected by AuthPolicy [e2e-test-llm-inference-service-48639af5/llmisvc-model-pvc-router-manage-e8706282-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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 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: '2026-07-28T18:09:33Z' [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-pvc-router-manage-e8706282 [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":"4571e603-3275-46fd-bd99-98aec30302af"}: {} [e2e-llm-inference-service] f:spec: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-28T18:09:57Z' [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: '2026-07-28T18:09:57Z' [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: '2026-07-28T18:09:59Z' [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-e8706282-kserve-route [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-48639af5 [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-pvc-router-manage-e8706282 [e2e-llm-inference-service] uid: 4571e603-3275-46fd-bd99-98aec30302af [e2e-llm-inference-service] resourceVersion: '65125' [e2e-llm-inference-service] uid: 71d4dcc1-5ffa-4f10-bc78-578d52ab3cb8 [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-pvc-router-manage-e8706282-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: /e2e-test-llm-inference-service-48639af5/llmisvc-model-pvc-router-manage-e8706282/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-pvc-router-manage-e8706282-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: /e2e-test-llm-inference-service-48639af5/llmisvc-model-pvc-router-manage-e8706282/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-pvc-router-manage-e8706282-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: /e2e-test-llm-inference-service-48639af5/llmisvc-model-pvc-router-manage-e8706282/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-pvc-router-manage-e8706282-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: /e2e-test-llm-inference-service-48639af5/llmisvc-model-pvc-router-manage-e8706282/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-pvc-router-manage-e8706282-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/e2e-test-llm-inference-service-48639af5/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/e2e-test-llm-inference-service-48639af5/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/e2e-test-llm-inference-service-48639af5/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/e2e-test-llm-inference-service-48639af5/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/e2e-test-llm-inference-service-48639af5/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/e2e-test-llm-inference-service-48639af5/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/e2e-test-llm-inference-service-48639af5/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/e2e-test-llm-inference-service-48639af5/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: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-e8706282-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: /publishers/e2e-test-llm-inference-service-48639af5/models/facebook/opt-125m/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-pvc-router-manage-e8706282-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: /publishers/e2e-test-llm-inference-service-48639af5/models/facebook/opt-125m/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-pvc-router-manage-e8706282-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: /publishers/e2e-test-llm-inference-service-48639af5/models/facebook/opt-125m/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-pvc-router-manage-e8706282-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: /publishers/e2e-test-llm-inference-service-48639af5/models/facebook/opt-125m/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-pvc-router-manage-e8706282-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: /publishers/e2e-test-llm-inference-service-48639af5/models/facebook/opt-125m [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-pvc-router-manage-e8706282-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: /e2e-test-llm-inference-service-48639af5/llmisvc-model-pvc-router-manage-e8706282 [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-pvc-router-manage-e8706282-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/e2e-test-llm-inference-service-48639af5/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: '2026-07-28T18:09:33Z' [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: '2026-07-28T18:09:57Z' [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: '2026-07-28T18:09:34Z' [e2e-llm-inference-service] message: Object affected by AuthPolicy [e2e-test-llm-inference-service-48639af5/llmisvc-model-pvc-router-manage-e8706282-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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 apiVersion: inference.networking.k8s.io/v1 [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:09:33Z' [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-pvc-router-manage-e8706282 [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":"4571e603-3275-46fd-bd99-98aec30302af"}: {} [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: '2026-07-28T18:09:33Z' [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: '2026-07-28T18:09:57Z' [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-e8706282-inference-pool [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-48639af5 [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-pvc-router-manage-e8706282 [e2e-llm-inference-service] uid: 4571e603-3275-46fd-bd99-98aec30302af [e2e-llm-inference-service] resourceVersion: '65096' [e2e-llm-inference-service] uid: 4cd76bf9-22f6-4e78-bc41-36d5d4b5f66f [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-pvc-router-manage-e8706282-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-pvc-router-manage-e8706282 [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: '2026-07-28T18:09:57Z' [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: '2026-07-28T18:09:57Z' [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 apiVersion: kuadrant.io/v1 [e2e-llm-inference-service] kind: AuthPolicy [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:09:35Z' [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-pvc-router-manage-e8706282 [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":"4571e603-3275-46fd-bd99-98aec30302af"}: {} [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: '2026-07-28T18:09:35Z' [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: '2026-07-28T18:09:38Z' [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-e8706282-kserve-route-authn [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-48639af5 [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-pvc-router-manage-e8706282 [e2e-llm-inference-service] uid: 4571e603-3275-46fd-bd99-98aec30302af [e2e-llm-inference-service] resourceVersion: '64842' [e2e-llm-inference-service] uid: 8e1323b7-33b6-44f0-a61a-78edee21b0ba [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-pvc-router-manage-e8706282-kserve-route [e2e-llm-inference-service] status: [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-28T18:09:36Z' [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: '2026-07-28T18:09:38Z' [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:09:34Z' [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-pvc-router-manage-e8706282 [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":"4571e603-3275-46fd-bd99-98aec30302af"}: {} [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: '2026-07-28T18:09:34Z' [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-e8706282-kserve-scheduler [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-48639af5 [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-pvc-router-manage-e8706282 [e2e-llm-inference-service] uid: 4571e603-3275-46fd-bd99-98aec30302af [e2e-llm-inference-service] resourceVersion: '64696' [e2e-llm-inference-service] uid: 8db5358e-4a27-4d39-867b-b482900cccff [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-model-pvc-router-manage-e8706282-epp-service.e2e-test-llm-inference-service-48639af5.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-pvc-router-manage-e8706282-epp-service.e2e-test-llm-inference-service-48639af5.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:09:58Z' [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-pvc-router-manage-e8706282 [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":"4571e603-3275-46fd-bd99-98aec30302af"}: {} [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: '2026-07-28T18:09:58Z' [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-e8706282-kserve-shadow-svc [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-48639af5 [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-pvc-router-manage-e8706282 [e2e-llm-inference-service] uid: 4571e603-3275-46fd-bd99-98aec30302af [e2e-llm-inference-service] resourceVersion: '65113' [e2e-llm-inference-service] uid: b15b2f9a-c4c8-4a4d-9110-d399d30432c1 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-model-pvc-router-manage-e8706282-inference--ip-8bbb5aea.e2e-test-llm-inference-service-48639af5.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-pvc-router-manage-e8706282-kserve-workload-svc.e2e-test-llm-inference-service-48639af5.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:09:34Z' [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-pvc-router-manage-e8706282 [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":"4571e603-3275-46fd-bd99-98aec30302af"}: {} [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: '2026-07-28T18:09:34Z' [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-e8706282-kserve-workload-svc [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-48639af5 [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-pvc-router-manage-e8706282 [e2e-llm-inference-service] uid: 4571e603-3275-46fd-bd99-98aec30302af [e2e-llm-inference-service] resourceVersion: '64719' [e2e-llm-inference-service] uid: 72338d8b-614d-4ff4-a6b5-34137f017031 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-model-pvc-router-manage-e8706282-kserve-workload-svc.e2e-test-llm-inference-service-48639af5.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-pvc-router-manage-e8706282-kserve-workload-svc.e2e-test-llm-inference-service-48639af5.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 apiVersion: networking.istio.io/v1beta1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:09:34Z' [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-pvc-router-manage-e8706282 [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":"4571e603-3275-46fd-bd99-98aec30302af"}: {} [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: '2026-07-28T18:09:34Z' [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-e8706282-kserve-scheduler [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-48639af5 [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-pvc-router-manage-e8706282 [e2e-llm-inference-service] uid: 4571e603-3275-46fd-bd99-98aec30302af [e2e-llm-inference-service] resourceVersion: '64696' [e2e-llm-inference-service] uid: 8db5358e-4a27-4d39-867b-b482900cccff [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-model-pvc-router-manage-e8706282-epp-service.e2e-test-llm-inference-service-48639af5.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-pvc-router-manage-e8706282-epp-service.e2e-test-llm-inference-service-48639af5.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 apiVersion: networking.istio.io/v1beta1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:09:58Z' [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-pvc-router-manage-e8706282 [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":"4571e603-3275-46fd-bd99-98aec30302af"}: {} [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: '2026-07-28T18:09:58Z' [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-e8706282-kserve-shadow-svc [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-48639af5 [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-pvc-router-manage-e8706282 [e2e-llm-inference-service] uid: 4571e603-3275-46fd-bd99-98aec30302af [e2e-llm-inference-service] resourceVersion: '65113' [e2e-llm-inference-service] uid: b15b2f9a-c4c8-4a4d-9110-d399d30432c1 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-model-pvc-router-manage-e8706282-inference--ip-8bbb5aea.e2e-test-llm-inference-service-48639af5.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-pvc-router-manage-e8706282-kserve-workload-svc.e2e-test-llm-inference-service-48639af5.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 apiVersion: networking.istio.io/v1beta1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:09:34Z' [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-pvc-router-manage-e8706282 [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":"4571e603-3275-46fd-bd99-98aec30302af"}: {} [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: '2026-07-28T18:09:34Z' [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-e8706282-kserve-workload-svc [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-48639af5 [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-pvc-router-manage-e8706282 [e2e-llm-inference-service] uid: 4571e603-3275-46fd-bd99-98aec30302af [e2e-llm-inference-service] resourceVersion: '64719' [e2e-llm-inference-service] uid: 72338d8b-614d-4ff4-a6b5-34137f017031 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-model-pvc-router-manage-e8706282-kserve-workload-svc.e2e-test-llm-inference-service-48639af5.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-pvc-router-manage-e8706282-kserve-workload-svc.e2e-test-llm-inference-service-48639af5.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 apiVersion: networking.istio.io/v1alpha3 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:09:34Z' [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-pvc-router-manage-e8706282 [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":"4571e603-3275-46fd-bd99-98aec30302af"}: {} [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: '2026-07-28T18:09:34Z' [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-e8706282-kserve-scheduler [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-48639af5 [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-pvc-router-manage-e8706282 [e2e-llm-inference-service] uid: 4571e603-3275-46fd-bd99-98aec30302af [e2e-llm-inference-service] resourceVersion: '64696' [e2e-llm-inference-service] uid: 8db5358e-4a27-4d39-867b-b482900cccff [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-model-pvc-router-manage-e8706282-epp-service.e2e-test-llm-inference-service-48639af5.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-pvc-router-manage-e8706282-epp-service.e2e-test-llm-inference-service-48639af5.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 apiVersion: networking.istio.io/v1alpha3 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:09:58Z' [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-pvc-router-manage-e8706282 [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":"4571e603-3275-46fd-bd99-98aec30302af"}: {} [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: '2026-07-28T18:09:58Z' [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-e8706282-kserve-shadow-svc [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-48639af5 [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-pvc-router-manage-e8706282 [e2e-llm-inference-service] uid: 4571e603-3275-46fd-bd99-98aec30302af [e2e-llm-inference-service] resourceVersion: '65113' [e2e-llm-inference-service] uid: b15b2f9a-c4c8-4a4d-9110-d399d30432c1 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-model-pvc-router-manage-e8706282-inference--ip-8bbb5aea.e2e-test-llm-inference-service-48639af5.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-pvc-router-manage-e8706282-kserve-workload-svc.e2e-test-llm-inference-service-48639af5.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 apiVersion: networking.istio.io/v1alpha3 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:09:34Z' [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-pvc-router-manage-e8706282 [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":"4571e603-3275-46fd-bd99-98aec30302af"}: {} [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: '2026-07-28T18:09:34Z' [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-e8706282-kserve-workload-svc [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-48639af5 [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-pvc-router-manage-e8706282 [e2e-llm-inference-service] uid: 4571e603-3275-46fd-bd99-98aec30302af [e2e-llm-inference-service] resourceVersion: '64719' [e2e-llm-inference-service] uid: 72338d8b-614d-4ff4-a6b5-34137f017031 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-model-pvc-router-manage-e8706282-kserve-workload-svc.e2e-test-llm-inference-service-48639af5.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-pvc-router-manage-e8706282-kserve-workload-svc.e2e-test-llm-inference-service-48639af5.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 apiVersion: inference.networking.x-k8s.io/v1alpha2 [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:09:33Z' [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-pvc-router-manage-e8706282 [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":"4571e603-3275-46fd-bd99-98aec30302af"}: {} [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: '2026-07-28T18:09:33Z' [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-e8706282-inference-pool [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-48639af5 [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-pvc-router-manage-e8706282 [e2e-llm-inference-service] uid: 4571e603-3275-46fd-bd99-98aec30302af [e2e-llm-inference-service] resourceVersion: '64675' [e2e-llm-inference-service] uid: cda6eb5f-4e7f-46b3-99ae-a70d6cde65e3 [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-pvc-router-manage-e8706282-epp-service [e2e-llm-inference-service] portNumber: 9002 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-pvc-router-manage-e8706282 [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-e8706282-kserve-prefill-7btn6wz [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-48639af5 [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:24:27Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload-prefill [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-pvc-router-manage-e8706282 [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: 7b89cd7957 [e2e-llm-inference-service] timestamp: '2026-07-28T18:24:07Z' [e2e-llm-inference-service] window: 20.001s [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] usage: [e2e-llm-inference-service] cpu: 87199590n [e2e-llm-inference-service] memory: 2404504Ki [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvcb19f98874e050eec8ca94d49676113f0-kserve-router-sche6w6xq [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-48639af5 [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:24:27Z' [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-pvc-router-manage-e8706282 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 7fc69df7b8 [e2e-llm-inference-service] timestamp: '2026-07-28T18:24:05Z' [e2e-llm-inference-service] window: 12.405s [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] usage: [e2e-llm-inference-service] cpu: 57314389n [e2e-llm-inference-service] memory: 33152Ki [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] [2026-07-28T18:24:27.844846] end - ❌ 902.563s: Missing true conditions: {'WorkloadsReady', 'Ready'}, expected {'WorkloadsReady', 'RouterReady', 'Ready'}, got [{'lastTransitionTime': '2026-07-28T18:10:17Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-28T18:10:17Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T18:10:17Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:11:32Z', 'severity': 'Info', 'status': 'True', 'type': 'PrefillWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:09:35Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T18:10:17Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T18:10:17Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T18:10:17Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:10:17Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] ---------------------------- Captured log teardown ----------------------------- [e2e-llm-inference-service] INFO e2e.llmisvc.conftest:conftest.py:168 Skipping deletion of namespace e2e-test-llm-inference-service-48639af5 (SKIP_DELETION_ON_FAILURE) [e2e-llm-inference-service] _ test_llm_autoscaling_hpa_lws[router-managed-workload-llmd-simulator-lws-prometheus-scrape-scaling-hpa] _ [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-llmd-simulator-lws', 'prometheus-scrape', 'scaling-hpa'], prompt='KSer... {'name': 'scaling-hpa-autoscale-hpa-lws-b344a3ff'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m') [e2e-llm-inference-service] [e2e-llm-inference-service] @pytest.mark.autoscaling_hpa [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-llmd-simulator-lws", [e2e-llm-inference-service] "prometheus-scrape", [e2e-llm-inference-service] "scaling-hpa", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="autoscale-hpa-lws", [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.llmd_simulator, [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_autoscaling_hpa_lws(test_case: TestCase): [e2e-llm-inference-service] """HPA + LWS: HPA exists with WVA annotations; pods scale under load.""" [e2e-llm-inference-service] inject_k8s_proxy() [e2e-llm-inference-service] kserve_client = _new_kserve_client() [e2e-llm-inference-service] service_name = test_case.llm_service.metadata.name [e2e-llm-inference-service] ns = test_case.namespace [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] > _create_and_wait(kserve_client, test_case) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_autoscaling_wva.py:670: [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-lws', 'prometheus-scrape', 'scaling-hpa'], prompt='KSer... {'name': 'scaling-hpa-autoscale-hpa-lws-b344a3ff'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m') [e2e-llm-inference-service] [e2e-llm-inference-service] def _create_and_wait(kserve_client, test_case): [e2e-llm-inference-service] """Create LLMISVC and wait for it to be ready.""" [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_autoscaling_wva.py:482: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] args = (, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kin...ale-hpa-b29acdba'}, [e2e-llm-inference-service] {'name': 'scaling-hpa-autoscale-hpa-lws-b344a3ff'}]}, [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 = '2026-07-28T18:21:16.438946', start_time = 1785262876.4392426 [e2e-llm-inference-service] duration = 900.9928114414215, timestamp_end = '2026-07-28T18:36:17.432057' [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....autoscale-hpa-b29acdba'}, [e2e-llm-inference-service] {'name': 'scaling-hpa-autoscale-hpa-lws-b344a3ff'}]}, [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] all_condition_types = 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] ctype = condition.get("type") [e2e-llm-inference-service] all_condition_types.add(ctype) [e2e-llm-inference-service] if condition.get("status") == "True": [e2e-llm-inference-service] got_true_conditions.add(ctype) [e2e-llm-inference-service] [e2e-llm-inference-service] # When TokenizerReady is present, it must also be True [e2e-llm-inference-service] if "TokenizerReady" in all_condition_types: [e2e-llm-inference-service] expected_true_conditions.add("TokenizerReady") [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:1376: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] assertion_fn = .assert_llm_isvc_ready at 0x7fa142b81260> [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:1387: [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] all_condition_types = 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] ctype = condition.get("type") [e2e-llm-inference-service] all_condition_types.add(ctype) [e2e-llm-inference-service] if condition.get("status") == "True": [e2e-llm-inference-service] got_true_conditions.add(ctype) [e2e-llm-inference-service] [e2e-llm-inference-service] # When TokenizerReady is present, it must also be True [e2e-llm-inference-service] if "TokenizerReady" in all_condition_types: [e2e-llm-inference-service] expected_true_conditions.add("TokenizerReady") [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 {'RouterReady', 'Ready', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-28T18:21:56Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-28T18:21:48Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T18:21:37Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T18:22:14Z', 'message': 'the HPA was unable to compute the replica count: unable to get external metric e2e-test-llm-autoscaling-hpa-lws-d4cbcfd2/wva_desired_replicas/&LabelSelector{MatchLabels:map[string]string{variant_name: autoscale-hpa-lws-kserve-hpa,},MatchExpressions:[]LabelSelectorRequirement{},}: unable to fetch metrics from external metrics API: scaledObject name is not specified', 'reason': 'FailedGetExternalMetric', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T18:22:14Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T18:21:56Z', 'message': 'the HPA was unable to compute the replica count: unable to get external metric e2e-test-llm-autoscaling-hpa-lws-d4cbcfd2/wva_desired_replicas/&LabelSelector{MatchLabels:map[string]string{variant_name: autoscale-hpa-lws-kserve-hpa,},MatchExpressions:[]LabelSelectorRequirement{},}: unable to fetch metrics from external metrics API: scaledObject name is not specified', 'reason': 'FailedGetExternalMetric', 'severity': 'Info', 'status': 'False', 'type': 'ScalingReady'}, {'lastTransitionTime': '2026-07-28T18:22:14Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:21:48Z', 'severity': 'Info', 'status': 'True', 'type': 'WorkerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:21:56Z', 'message': 'the HPA was unable to compute the replica count: unable to get external metric e2e-test-llm-autoscaling-hpa-lws-d4cbcfd2/wva_desired_replicas/&LabelSelector{MatchLabels:map[string]string{variant_name: autoscale-hpa-lws-kserve-hpa,},MatchExpressions:[]LabelSelectorRequirement{},}: unable to fetch metrics from external metrics API: scaledObject name is not specified', 'reason': 'FailedGetExternalMetric', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:1371: AssertionError [e2e-llm-inference-service] ------------------------------ Captured log setup ------------------------------ [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1769 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.namespace:namespace.py:82 Created test namespace e2e-test-llm-autoscaling-hpa-lws-d4cbcfd2 [e2e-llm-inference-service] INFO e2e.llmisvc.namespace:namespace.py:131 Copied secret seaweedfs-s3-creds from kserve-ci-e2e-test to e2e-test-llm-autoscaling-hpa-lws-d4cbcfd2 [e2e-llm-inference-service] INFO e2e.llmisvc.namespace:namespace.py:131 Copied secret storage-config from kserve-ci-e2e-test to e2e-test-llm-autoscaling-hpa-lws-d4cbcfd2 [e2e-llm-inference-service] INFO e2e.llmisvc.namespace:namespace.py:178 Patched default SA in e2e-test-llm-autoscaling-hpa-lws-d4cbcfd2 with secret seaweedfs-s3-creds [e2e-llm-inference-service] INFO e2e.llmisvc.namespace:namespace.py:162 ConfigMap odh-kserve-custom-ca-bundle already exists in e2e-test-llm-autoscaling-hpa-lws-d4cbcfd2 [e2e-llm-inference-service] INFO e2e.llmisvc.namespace:namespace.py:159 Copied ConfigMap odh-trusted-ca-bundle from kserve-ci-e2e-test to e2e-test-llm-autoscaling-hpa-lws-d4cbcfd2 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1769 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1718 Checking LLMInferenceServiceConfig router-managed-autoscale-hpa-lw-1aa98714 in namespace e2e-test-llm-autoscaling-hpa-lws-d4cbcfd2 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1744 Resource not found, creating LLMInferenceServiceConfig router-managed-autoscale-hpa-lw-1aa98714 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1754 ✓ Successfully created LLMInferenceServiceConfig router-managed-autoscale-hpa-lw-1aa98714 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1718 Checking LLMInferenceServiceConfig workload-llmd-simulator-lws-aut-fe7a55cc in namespace e2e-test-llm-autoscaling-hpa-lws-d4cbcfd2 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1744 Resource not found, creating LLMInferenceServiceConfig workload-llmd-simulator-lws-aut-fe7a55cc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1754 ✓ Successfully created LLMInferenceServiceConfig workload-llmd-simulator-lws-aut-fe7a55cc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1718 Checking LLMInferenceServiceConfig prometheus-scrape-autoscale-hpa-b29acdba in namespace e2e-test-llm-autoscaling-hpa-lws-d4cbcfd2 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1744 Resource not found, creating LLMInferenceServiceConfig prometheus-scrape-autoscale-hpa-b29acdba [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1754 ✓ Successfully created LLMInferenceServiceConfig prometheus-scrape-autoscale-hpa-b29acdba [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1718 Checking LLMInferenceServiceConfig scaling-hpa-autoscale-hpa-lws-b344a3ff in namespace e2e-test-llm-autoscaling-hpa-lws-d4cbcfd2 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1744 Resource not found, creating LLMInferenceServiceConfig scaling-hpa-autoscale-hpa-lws-b344a3ff [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1754 ✓ Successfully created LLMInferenceServiceConfig scaling-hpa-autoscale-hpa-lws-b344a3ff [e2e-llm-inference-service] ------------------------------ Captured log call ------------------------------- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [test_llm_autoscaling_hpa_lws] [2026-07-28T18:21:16.072091] start - args=(), kwargs={'test_case': TestCase(base_refs=['router-managed', 'workload-llmd-simulator-lws', 'prometheus-scrape', 'scaling-hpa'], prompt='KServe is a', service_name='autoscale-hpa-lws', 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, namespace='e2e-test-llm-autoscaling-hpa-lws-d4cbcfd2', 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': 'autoscale-hpa-lws', [e2e-llm-inference-service] 'namespace': 'e2e-test-llm-autoscaling-hpa-lws-d4cbcfd2', [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-autoscale-hpa-lw-1aa98714'}, [e2e-llm-inference-service] {'name': 'workload-llmd-simulator-lws-aut-fe7a55cc'}, [e2e-llm-inference-service] {'name': 'prometheus-scrape-autoscale-hpa-b29acdba'}, [e2e-llm-inference-service] {'name': 'scaling-hpa-autoscale-hpa-lws-b344a3ff'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m')} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1769 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [create_llmisvc] [2026-07-28T18:21:16.085387] 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': 'autoscale-hpa-lws', [e2e-llm-inference-service] 'namespace': 'e2e-test-llm-autoscaling-hpa-lws-d4cbcfd2', [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-autoscale-hpa-lw-1aa98714'}, [e2e-llm-inference-service] {'name': 'workload-llmd-simulator-lws-aut-fe7a55cc'}, [e2e-llm-inference-service] {'name': 'prometheus-scrape-autoscale-hpa-b29acdba'}, [e2e-llm-inference-service] {'name': 'scaling-hpa-autoscale-hpa-lws-b344a3ff'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [create_llmisvc] [2026-07-28T18:21:16.438815] end - ✅ in 0.353s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [wait_for_llm_isvc_ready] [2026-07-28T18:21:16.438946] 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': 'autoscale-hpa-lws', [e2e-llm-inference-service] 'namespace': 'e2e-test-llm-autoscaling-hpa-lws-d4cbcfd2', [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-autoscale-hpa-lw-1aa98714'}, [e2e-llm-inference-service] {'name': 'workload-llmd-simulator-lws-aut-fe7a55cc'}, [e2e-llm-inference-service] {'name': 'prometheus-scrape-autoscale-hpa-b29acdba'}, [e2e-llm-inference-service] {'name': 'scaling-hpa-autoscale-hpa-lws-b344a3ff'}]}, [e2e-llm-inference-service] 'status': None}, 900), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1394 Waiting: No conditions found in status [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1394 Waiting: Missing true conditions: {'RouterReady', 'Ready', 'WorkloadsReady'}, expected {'RouterReady', 'Ready', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-28T18:21:37Z', 'message': 'The following HTTPRoutes are not ready: [e2e-test-llm-autoscaling-hpa-lws-d4cbcfd2/autoscale-hpa-lws-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': '2026-07-28T18:21:37Z', 'message': 'Inference Pool e2e-test-llm-autoscaling-hpa-lws-d4cbcfd2/autoscale-hpa-lws-inference-pool exists but no Gateway controller has accepted it yet', 'reason': 'WaitingForGateway', 'severity': 'Info', 'status': 'False', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T18:21:37Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T18:21:37Z', 'message': 'The following HTTPRoutes are not ready: [e2e-test-llm-autoscaling-hpa-lws-d4cbcfd2/autoscale-hpa-lws-kserve-route: "False" (reason "InvalidKind", message "referencing unsupported backendRef: group \\"inference.networking.x-k8s.io\\" kind \\"InferencePool\\"")]', 'reason': 'HTTPRoutesNotReady', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T18:21:37Z', 'message': 'The following HTTPRoutes are not ready: [e2e-test-llm-autoscaling-hpa-lws-d4cbcfd2/autoscale-hpa-lws-kserve-route: "False" (reason "InvalidKind", message "referencing unsupported backendRef: group \\"inference.networking.x-k8s.io\\" kind \\"InferencePool\\"")]', 'reason': 'HTTPRoutesNotReady', 'status': 'False', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T18:21:37Z', 'message': 'HPA conditions not yet available', 'reason': 'HPAProgressing', 'severity': 'Info', 'status': 'False', 'type': 'ScalingReady'}, {'lastTransitionTime': '2026-07-28T18:21:37Z', 'message': 'Deployment rollout in progress', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:21:37Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'WorkerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:21:37Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1394 Waiting: Missing true conditions: {'RouterReady', 'Ready', 'WorkloadsReady'}, expected {'RouterReady', 'Ready', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-28T18:21:48Z', 'message': 'The following HTTPRoutes are not ready: [e2e-test-llm-autoscaling-hpa-lws-d4cbcfd2/autoscale-hpa-lws-kserve-route: "False" (reason "BackendNotFound", message "backend(autoscale-hpa-lws-inference-pool-ip-3b720d6f.e2e-test-llm-autoscaling-hpa-lws-d4cbcfd2.svc.cluster.local) not found")]', 'reason': 'HTTPRoutesNotReady', 'severity': 'Info', 'status': 'False', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-28T18:21:48Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T18:21:37Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T18:21:48Z', 'message': 'The following HTTPRoutes are not ready: [e2e-test-llm-autoscaling-hpa-lws-d4cbcfd2/autoscale-hpa-lws-kserve-route: "False" (reason "BackendNotFound", message "backend(autoscale-hpa-lws-inference-pool-ip-3b720d6f.e2e-test-llm-autoscaling-hpa-lws-d4cbcfd2.svc.cluster.local) not found")]', 'reason': 'HTTPRoutesNotReady', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T18:21:48Z', 'message': 'The following HTTPRoutes are not ready: [e2e-test-llm-autoscaling-hpa-lws-d4cbcfd2/autoscale-hpa-lws-kserve-route: "False" (reason "BackendNotFound", message "backend(autoscale-hpa-lws-inference-pool-ip-3b720d6f.e2e-test-llm-autoscaling-hpa-lws-d4cbcfd2.svc.cluster.local) not found")]', 'reason': 'HTTPRoutesNotReady', 'status': 'False', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T18:21:37Z', 'message': 'HPA conditions not yet available', 'reason': 'HPAProgressing', 'severity': 'Info', 'status': 'False', 'type': 'ScalingReady'}, {'lastTransitionTime': '2026-07-28T18:21:48Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:21:48Z', 'severity': 'Info', 'status': 'True', 'type': 'WorkerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:21:48Z', 'message': 'HPA conditions not yet available', 'reason': 'HPAProgressing', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1394 Waiting: Missing true conditions: {'RouterReady', 'Ready', 'WorkloadsReady'}, expected {'RouterReady', 'Ready', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-28T18:21:56Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-28T18:21:48Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T18:21:37Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T18:21:56Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T18:21:56Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T18:21:56Z', 'message': 'the HPA was unable to compute the replica count: unable to get external metric e2e-test-llm-autoscaling-hpa-lws-d4cbcfd2/wva_desired_replicas/&LabelSelector{MatchLabels:map[string]string{variant_name: autoscale-hpa-lws-kserve-hpa,},MatchExpressions:[]LabelSelectorRequirement{},}: unable to fetch metrics from external metrics API: scaledObject name is not specified', 'reason': 'FailedGetExternalMetric', 'severity': 'Info', 'status': 'False', 'type': 'ScalingReady'}, {'lastTransitionTime': '2026-07-28T18:21:48Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:21:48Z', 'severity': 'Info', 'status': 'True', 'type': 'WorkerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:21:56Z', 'message': 'the HPA was unable to compute the replica count: unable to get external metric e2e-test-llm-autoscaling-hpa-lws-d4cbcfd2/wva_desired_replicas/&LabelSelector{MatchLabels:map[string]string{variant_name: autoscale-hpa-lws-kserve-hpa,},MatchExpressions:[]LabelSelectorRequirement{},}: unable to fetch metrics from external metrics API: scaledObject name is not specified', 'reason': 'FailedGetExternalMetric', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1394 Waiting: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'RouterReady', 'Ready', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-28T18:21:56Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-28T18:21:48Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T18:21:37Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T18:22:14Z', 'message': 'the HPA was unable to compute the replica count: unable to get external metric e2e-test-llm-autoscaling-hpa-lws-d4cbcfd2/wva_desired_replicas/&LabelSelector{MatchLabels:map[string]string{variant_name: autoscale-hpa-lws-kserve-hpa,},MatchExpressions:[]LabelSelectorRequirement{},}: unable to fetch metrics from external metrics API: scaledObject name is not specified', 'reason': 'FailedGetExternalMetric', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T18:22:14Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T18:21:56Z', 'message': 'the HPA was unable to compute the replica count: unable to get external metric e2e-test-llm-autoscaling-hpa-lws-d4cbcfd2/wva_desired_replicas/&LabelSelector{MatchLabels:map[string]string{variant_name: autoscale-hpa-lws-kserve-hpa,},MatchExpressions:[]LabelSelectorRequirement{},}: unable to fetch metrics from external metrics API: scaledObject name is not specified', 'reason': 'FailedGetExternalMetric', 'severity': 'Info', 'status': 'False', 'type': 'ScalingReady'}, {'lastTransitionTime': '2026-07-28T18:22:14Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:21:48Z', 'severity': 'Info', 'status': 'True', 'type': 'WorkerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:21:56Z', 'message': 'the HPA was unable to compute the replica count: unable to get external metric e2e-test-llm-autoscaling-hpa-lws-d4cbcfd2/wva_desired_replicas/&LabelSelector{MatchLabels:map[string]string{variant_name: autoscale-hpa-lws-kserve-hpa,},MatchExpressions:[]LabelSelectorRequirement{},}: unable to fetch metrics from external metrics API: scaledObject name is not specified', 'reason': 'FailedGetExternalMetric', 'status': 'False', 'type': 'WorkloadsReady'}] [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": "error", "kserve-ci-e2e-test/router-gateway-2-openshift-default": "error", "openshift-ingress/openshift-ai-inference-openshift-default": "1\t{\"running\":{\"startedAt\":\"2026-07-28T17:25:20Z\"}}"} resources={"httproutes": 0, "llminferenceservices": 0, "authpolicies": 0} [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": "error", "kserve-ci-e2e-test/router-gateway-2-openshift-default": "error", "openshift-ingress/openshift-ai-inference-openshift-default": "1\t{\"running\":{\"startedAt\":\"2026-07-28T17:25:20Z\"}}"} resources={"httproutes": 0, "llminferenceservices": 0, "authpolicies": 0} [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": "error", "kserve-ci-e2e-test/router-gateway-2-openshift-default": "error", "openshift-ingress/openshift-ai-inference-openshift-default": "1\t{\"running\":{\"startedAt\":\"2026-07-28T17:25:20Z\"}}"} resources={"httproutes": 0, "llminferenceservices": 0, "authpolicies": 0} [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:test_llm_inference_service.py:1391 Timed out waiting: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'RouterReady', 'Ready', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-28T18:21:56Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-28T18:21:48Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T18:21:37Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T18:22:14Z', 'message': 'the HPA was unable to compute the replica count: unable to get external metric e2e-test-llm-autoscaling-hpa-lws-d4cbcfd2/wva_desired_replicas/&LabelSelector{MatchLabels:map[string]string{variant_name: autoscale-hpa-lws-kserve-hpa,},MatchExpressions:[]LabelSelectorRequirement{},}: unable to fetch metrics from external metrics API: scaledObject name is not specified', 'reason': 'FailedGetExternalMetric', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T18:22:14Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T18:21:56Z', 'message': 'the HPA was unable to compute the replica count: unable to get external metric e2e-test-llm-autoscaling-hpa-lws-d4cbcfd2/wva_desired_replicas/&LabelSelector{MatchLabels:map[string]string{variant_name: autoscale-hpa-lws-kserve-hpa,},MatchExpressions:[]LabelSelectorRequirement{},}: unable to fetch metrics from external metrics API: scaledObject name is not specified', 'reason': 'FailedGetExternalMetric', 'severity': 'Info', 'status': 'False', 'type': 'ScalingReady'}, {'lastTransitionTime': '2026-07-28T18:22:14Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:21:48Z', 'severity': 'Info', 'status': 'True', 'type': 'WorkerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:21:56Z', 'message': 'the HPA was unable to compute the replica count: unable to get external metric e2e-test-llm-autoscaling-hpa-lws-d4cbcfd2/wva_desired_replicas/&LabelSelector{MatchLabels:map[string]string{variant_name: autoscale-hpa-lws-kserve-hpa,},MatchExpressions:[]LabelSelectorRequirement{},}: unable to fetch metrics from external metrics API: scaledObject name is not specified', 'reason': 'FailedGetExternalMetric', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:logging.py:48 [wait_for_llm_isvc_ready] [2026-07-28T18:36:17.432057] end - ❌ 900.993s: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'RouterReady', 'Ready', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-28T18:21:56Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-28T18:21:48Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T18:21:37Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T18:22:14Z', 'message': 'the HPA was unable to compute the replica count: unable to get external metric e2e-test-llm-autoscaling-hpa-lws-d4cbcfd2/wva_desired_replicas/&LabelSelector{MatchLabels:map[string]string{variant_name: autoscale-hpa-lws-kserve-hpa,},MatchExpressions:[]LabelSelectorRequirement{},}: unable to fetch metrics from external metrics API: scaledObject name is not specified', 'reason': 'FailedGetExternalMetric', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T18:22:14Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T18:21:56Z', 'message': 'the HPA was unable to compute the replica count: unable to get external metric e2e-test-llm-autoscaling-hpa-lws-d4cbcfd2/wva_desired_replicas/&LabelSelector{MatchLabels:map[string]string{variant_name: autoscale-hpa-lws-kserve-hpa,},MatchExpressions:[]LabelSelectorRequirement{},}: unable to fetch metrics from external metrics API: scaledObject name is not specified', 'reason': 'FailedGetExternalMetric', 'severity': 'Info', 'status': 'False', 'type': 'ScalingReady'}, {'lastTransitionTime': '2026-07-28T18:22:14Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:21:48Z', 'severity': 'Info', 'status': 'True', 'type': 'WorkerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:21:56Z', 'message': 'the HPA was unable to compute the replica count: unable to get external metric e2e-test-llm-autoscaling-hpa-lws-d4cbcfd2/wva_desired_replicas/&LabelSelector{MatchLabels:map[string]string{variant_name: autoscale-hpa-lws-kserve-hpa,},MatchExpressions:[]LabelSelectorRequirement{},}: unable to fetch metrics from external metrics API: scaledObject name is not specified', 'reason': 'FailedGetExternalMetric', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [delete_llmisvc] [2026-07-28T18:36:17.432164] 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': 'autoscale-hpa-lws', [e2e-llm-inference-service] 'namespace': 'e2e-test-llm-autoscaling-hpa-lws-d4cbcfd2', [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-autoscale-hpa-lw-1aa98714'}, [e2e-llm-inference-service] {'name': 'workload-llmd-simulator-lws-aut-fe7a55cc'}, [e2e-llm-inference-service] {'name': 'prometheus-scrape-autoscale-hpa-b29acdba'}, [e2e-llm-inference-service] {'name': 'scaling-hpa-autoscale-hpa-lws-b344a3ff'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1394 Waiting: 3 pod(s) for autoscale-hpa-lws still terminating: ['autoscale-hpa-lws-kserve-mn-0', 'autoscale-hpa-lws-kserve-mn-0-1', 'autoscale-hpa-lws-kserve-router-scheduler-5b6578b469-nx2zf'] [e2e-llm-inference-service] assert not ['autoscale-hpa-lws-kserve-mn-0', 'autoscale-hpa-lws-kserve-mn-0-1', 'autoscale-hpa-lws-kserve-router-scheduler-5b6578b469-nx2zf'] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1394 Waiting: 1 pod(s) for autoscale-hpa-lws still terminating: ['autoscale-hpa-lws-kserve-router-scheduler-5b6578b469-nx2zf'] [e2e-llm-inference-service] assert not ['autoscale-hpa-lws-kserve-router-scheduler-5b6578b469-nx2zf'] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [delete_llmisvc] [2026-07-28T18:37:07.854469] end - ✅ in 50.422s [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:logging.py:48 [test_llm_autoscaling_hpa_lws] [2026-07-28T18:37:07.854587] end - ❌ 951.782s: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'RouterReady', 'Ready', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-28T18:21:56Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-28T18:21:48Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T18:21:37Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T18:22:14Z', 'message': 'the HPA was unable to compute the replica count: unable to get external metric e2e-test-llm-autoscaling-hpa-lws-d4cbcfd2/wva_desired_replicas/&LabelSelector{MatchLabels:map[string]string{variant_name: autoscale-hpa-lws-kserve-hpa,},MatchExpressions:[]LabelSelectorRequirement{},}: unable to fetch metrics from external metrics API: scaledObject name is not specified', 'reason': 'FailedGetExternalMetric', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T18:22:14Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T18:21:56Z', 'message': 'the HPA was unable to compute the replica count: unable to get external metric e2e-test-llm-autoscaling-hpa-lws-d4cbcfd2/wva_desired_replicas/&LabelSelector{MatchLabels:map[string]string{variant_name: autoscale-hpa-lws-kserve-hpa,},MatchExpressions:[]LabelSelectorRequirement{},}: unable to fetch metrics from external metrics API: scaledObject name is not specified', 'reason': 'FailedGetExternalMetric', 'severity': 'Info', 'status': 'False', 'type': 'ScalingReady'}, {'lastTransitionTime': '2026-07-28T18:22:14Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:21:48Z', 'severity': 'Info', 'status': 'True', 'type': 'WorkerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:21:56Z', 'message': 'the HPA was unable to compute the replica count: unable to get external metric e2e-test-llm-autoscaling-hpa-lws-d4cbcfd2/wva_desired_replicas/&LabelSelector{MatchLabels:map[string]string{variant_name: autoscale-hpa-lws-kserve-hpa,},MatchExpressions:[]LabelSelectorRequirement{},}: unable to fetch metrics from external metrics API: scaledObject name is not specified', 'reason': 'FailedGetExternalMetric', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] ---------------------------- Captured log teardown ----------------------------- [e2e-llm-inference-service] INFO e2e.llmisvc.conftest:conftest.py:168 Skipping deletion of namespace e2e-test-llm-autoscaling-hpa-lws-d4cbcfd2 (SKIP_DELETION_ON_FAILURE) [e2e-llm-inference-service] _ test_llm_inference_service[router-managed-workload-simulated-dp-ep-cpu-model-pvc] _ [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-simulated-dp-ep-cpu', 'model-pvc'], prompt='KServe is a', service_name... {'name': 'model-pvc-llmisvc-model-pvc-rou-cfc8d654'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m') [e2e-llm-inference-service] [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-gateway-1", [e2e-llm-inference-service] before_test=[ [e2e-llm-inference-service] lambda tc: create_router_resources( [e2e-llm-inference-service] gateways=[ [e2e-llm-inference-service] make_router_gateway( [e2e-llm-inference-service] "router-gateway-1", [e2e-llm-inference-service] tc.namespace, [e2e-llm-inference-service] ), [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.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-gateway-1", [e2e-llm-inference-service] before_test=[ [e2e-llm-inference-service] lambda tc: create_router_resources( [e2e-llm-inference-service] gateways=[ [e2e-llm-inference-service] make_router_gateway( [e2e-llm-inference-service] "router-gateway-1", [e2e-llm-inference-service] tc.namespace, [e2e-llm-inference-service] ), [e2e-llm-inference-service] ], [e2e-llm-inference-service] routes=[ [e2e-llm-inference-service] make_router_main_route( [e2e-llm-inference-service] "router-route-1", [e2e-llm-inference-service] tc.namespace, [e2e-llm-inference-service] "router-gateway-1", [e2e-llm-inference-service] "router-with-refs-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] make_router_health_route( [e2e-llm-inference-service] "router-route-2", [e2e-llm-inference-service] tc.namespace, [e2e-llm-inference-service] "router-gateway-1", [e2e-llm-inference-service] "router-with-refs-test", [e2e-llm-inference-service] ), [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.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-gateway-2", [e2e-llm-inference-service] before_test=[ [e2e-llm-inference-service] lambda tc: create_router_resources( [e2e-llm-inference-service] gateways=[ [e2e-llm-inference-service] make_router_gateway( [e2e-llm-inference-service] "router-gateway-2", [e2e-llm-inference-service] tc.namespace, [e2e-llm-inference-service] ), [e2e-llm-inference-service] ], [e2e-llm-inference-service] routes=[ [e2e-llm-inference-service] make_router_main_route( [e2e-llm-inference-service] "router-route-3", [e2e-llm-inference-service] tc.namespace, [e2e-llm-inference-service] "router-gateway-2", [e2e-llm-inference-service] "router-with-refs-pd-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] make_router_health_route( [e2e-llm-inference-service] "router-route-4", [e2e-llm-inference-service] tc.namespace, [e2e-llm-inference-service] "router-gateway-2", [e2e-llm-inference-service] "router-with-refs-pd-test", [e2e-llm-inference-service] ), [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.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=[ [e2e-llm-inference-service] lambda tc: create_scheduler_configmap(namespace=tc.namespace) [e2e-llm-inference-service] ], [e2e-llm-inference-service] after_test=[ [e2e-llm-inference-service] lambda tc: delete_scheduler_configmap(namespace=tc.namespace) [e2e-llm-inference-service] ], [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] # Standalone tokenizer — clean path: token-producer in inline config [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-tokenizer-kvcache", [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="tokenizer-clean-path-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] # Standalone tokenizer — migration path: legacy precise-prefix-cache-scorer [e2e-llm-inference-service] # triggers auto-provisioned tokenizer without explicit tokenizer:{} field [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="tokenizer-migration-path-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: "publishers/{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: "publishers/{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: "publishers/{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: "publishers/{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="publishers/{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] "publishers/{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: "publishers/{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] "publishers/{namespace}/models/facebook/opt-125m", [e2e-llm-inference-service] "lora-adapter-1", [e2e-llm-inference-service] "publishers/{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: "publishers/{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=[lambda tc: ensure_pvc_with_model(namespace=tc.namespace)], [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=[lambda tc: ensure_pvc_with_model(namespace=tc.namespace)], [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=[lambda tc: ensure_pvc_with_model(namespace=tc.namespace)], [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] 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:866: [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-699c687c'}, [e2e-llm-inference-service] {'name': 'model-pvc-llmisvc-model-pvc-rou-cfc8d654'}]}, [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 = '2026-07-28T18:25:09.239446', start_time = 1785263109.2397897 [e2e-llm-inference-service] duration = 900.1930680274963, timestamp_end = '2026-07-28T18:40:09.432861' [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-699c687c'}, [e2e-llm-inference-service] {'name': 'model-pvc-llmisvc-model-pvc-rou-cfc8d654'}]}, [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] all_condition_types = 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] ctype = condition.get("type") [e2e-llm-inference-service] all_condition_types.add(ctype) [e2e-llm-inference-service] if condition.get("status") == "True": [e2e-llm-inference-service] got_true_conditions.add(ctype) [e2e-llm-inference-service] [e2e-llm-inference-service] # When TokenizerReady is present, it must also be True [e2e-llm-inference-service] if "TokenizerReady" in all_condition_types: [e2e-llm-inference-service] expected_true_conditions.add("TokenizerReady") [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:1376: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] assertion_fn = .assert_llm_isvc_ready at 0x7f56d959d8a0> [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:1387: [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] all_condition_types = 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] ctype = condition.get("type") [e2e-llm-inference-service] all_condition_types.add(ctype) [e2e-llm-inference-service] if condition.get("status") == "True": [e2e-llm-inference-service] got_true_conditions.add(ctype) [e2e-llm-inference-service] [e2e-llm-inference-service] # When TokenizerReady is present, it must also be True [e2e-llm-inference-service] if "TokenizerReady" in all_condition_types: [e2e-llm-inference-service] expected_true_conditions.add("TokenizerReady") [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: {'WorkloadsReady', 'Ready'}, expected {'WorkloadsReady', 'RouterReady', 'Ready'}, got [{'lastTransitionTime': '2026-07-28T18:26:05Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-28T18:26:05Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T18:25:24Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T18:26:05Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T18:26:05Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T18:26:05Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:25:24Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'WorkerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:25:24Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:1371: AssertionError [e2e-llm-inference-service] ------------------------------ Captured log setup ------------------------------ [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1769 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.namespace:namespace.py:82 Created test namespace e2e-test-llm-inference-service-7c3633d1 [e2e-llm-inference-service] INFO e2e.llmisvc.namespace:namespace.py:131 Copied secret seaweedfs-s3-creds from kserve-ci-e2e-test to e2e-test-llm-inference-service-7c3633d1 [e2e-llm-inference-service] INFO e2e.llmisvc.namespace:namespace.py:131 Copied secret storage-config from kserve-ci-e2e-test to e2e-test-llm-inference-service-7c3633d1 [e2e-llm-inference-service] INFO e2e.llmisvc.namespace:namespace.py:178 Patched default SA in e2e-test-llm-inference-service-7c3633d1 with secret seaweedfs-s3-creds [e2e-llm-inference-service] INFO e2e.llmisvc.namespace:namespace.py:162 ConfigMap odh-kserve-custom-ca-bundle already exists in e2e-test-llm-inference-service-7c3633d1 [e2e-llm-inference-service] INFO e2e.llmisvc.namespace:namespace.py:159 Copied ConfigMap odh-trusted-ca-bundle from kserve-ci-e2e-test to e2e-test-llm-inference-service-7c3633d1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1769 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1769 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1769 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1959 Created PVC e2e-pvc-model-storage in namespace e2e-test-llm-inference-service-7c3633d1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1769 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:2099 Created model download Job e2e-pvc-model-download in namespace e2e-test-llm-inference-service-7c3633d1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1769 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:2124 Model download Job e2e-pvc-model-download completed successfully [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1718 Checking LLMInferenceServiceConfig router-managed-llmisvc-model-pv-2f105a64 in namespace e2e-test-llm-inference-service-7c3633d1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1744 Resource not found, creating LLMInferenceServiceConfig router-managed-llmisvc-model-pv-2f105a64 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1754 ✓ Successfully created LLMInferenceServiceConfig router-managed-llmisvc-model-pv-2f105a64 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1718 Checking LLMInferenceServiceConfig workload-simulated-dp-ep-cpu-ll-699c687c in namespace e2e-test-llm-inference-service-7c3633d1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1744 Resource not found, creating LLMInferenceServiceConfig workload-simulated-dp-ep-cpu-ll-699c687c [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1754 ✓ Successfully created LLMInferenceServiceConfig workload-simulated-dp-ep-cpu-ll-699c687c [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1718 Checking LLMInferenceServiceConfig model-pvc-llmisvc-model-pvc-rou-cfc8d654 in namespace e2e-test-llm-inference-service-7c3633d1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1744 Resource not found, creating LLMInferenceServiceConfig model-pvc-llmisvc-model-pvc-rou-cfc8d654 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1754 ✓ Successfully created LLMInferenceServiceConfig model-pvc-llmisvc-model-pvc-rou-cfc8d654 [e2e-llm-inference-service] ------------------------------ Captured log call ------------------------------- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [test_llm_inference_service] [2026-07-28T18:25:08.882581] start - args=(), kwargs={'test_case': TestCase(base_refs=['router-managed', 'workload-simulated-dp-ep-cpu', 'model-pvc'], prompt='KServe is a', service_name='llmisvc-model-pvc-router-manage-2577e794', 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, namespace='e2e-test-llm-inference-service-7c3633d1', before_test=[ at 0x7f56d9eb7c40>], 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-pvc-router-manage-2577e794', [e2e-llm-inference-service] 'namespace': 'e2e-test-llm-inference-service-7c3633d1', [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-pv-2f105a64'}, [e2e-llm-inference-service] {'name': 'workload-simulated-dp-ep-cpu-ll-699c687c'}, [e2e-llm-inference-service] {'name': 'model-pvc-llmisvc-model-pvc-rou-cfc8d654'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m')} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1769 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [create_llmisvc] [2026-07-28T18:25:08.895641] 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-pvc-router-manage-2577e794', [e2e-llm-inference-service] 'namespace': 'e2e-test-llm-inference-service-7c3633d1', [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-pv-2f105a64'}, [e2e-llm-inference-service] {'name': 'workload-simulated-dp-ep-cpu-ll-699c687c'}, [e2e-llm-inference-service] {'name': 'model-pvc-llmisvc-model-pvc-rou-cfc8d654'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [create_llmisvc] [2026-07-28T18:25:09.239278] end - ✅ in 0.343s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [wait_for_llm_isvc_ready] [2026-07-28T18:25:09.239446] 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-pvc-router-manage-2577e794', [e2e-llm-inference-service] 'namespace': 'e2e-test-llm-inference-service-7c3633d1', [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-pv-2f105a64'}, [e2e-llm-inference-service] {'name': 'workload-simulated-dp-ep-cpu-ll-699c687c'}, [e2e-llm-inference-service] {'name': 'model-pvc-llmisvc-model-pvc-rou-cfc8d654'}]}, [e2e-llm-inference-service] 'status': None}, 900), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1394 Waiting: No conditions found in status [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1394 Waiting: Missing true conditions: {'WorkloadsReady', 'RouterReady', 'Ready'}, expected {'WorkloadsReady', 'RouterReady', 'Ready'}, got [{'lastTransitionTime': '2026-07-28T18:25:24Z', 'message': 'The following HTTPRoutes are not ready: [e2e-test-llm-inference-service-7c3633d1/llmisvc-model-pvc-router-manage-2577e794-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': '2026-07-28T18:25:24Z', 'message': 'Inference Pool e2e-test-llm-inference-service-7c3633d1/llmisvc-model-pvc-router-manage-2577e794-inference-pool exists but no Gateway controller has accepted it yet', 'reason': 'WaitingForGateway', 'severity': 'Info', 'status': 'False', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T18:25:24Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T18:25:24Z', 'message': 'The following HTTPRoutes are not ready: [e2e-test-llm-inference-service-7c3633d1/llmisvc-model-pvc-router-manage-2577e794-kserve-route: "False" (reason "InvalidKind", message "referencing unsupported backendRef: group \\"inference.networking.x-k8s.io\\" kind \\"InferencePool\\"")]', 'reason': 'HTTPRoutesNotReady', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T18:25:24Z', 'message': 'The following HTTPRoutes are not ready: [e2e-test-llm-inference-service-7c3633d1/llmisvc-model-pvc-router-manage-2577e794-kserve-route: "False" (reason "InvalidKind", message "referencing unsupported backendRef: group \\"inference.networking.x-k8s.io\\" kind \\"InferencePool\\"")]', 'reason': 'HTTPRoutesNotReady', 'status': 'False', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T18:25:24Z', 'message': 'Deployment rollout in progress', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:25:24Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'WorkerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:25:24Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1394 Waiting: Missing true conditions: {'WorkloadsReady', 'Ready'}, expected {'WorkloadsReady', 'RouterReady', 'Ready'}, got [{'lastTransitionTime': '2026-07-28T18:26:05Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-28T18:26:05Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T18:25:24Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T18:26:05Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T18:26:05Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T18:26:05Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:25:24Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'WorkerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:25:24Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:test_llm_inference_service.py:1391 Timed out waiting: Missing true conditions: {'WorkloadsReady', 'Ready'}, expected {'WorkloadsReady', 'RouterReady', 'Ready'}, got [{'lastTransitionTime': '2026-07-28T18:26:05Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-28T18:26:05Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T18:25:24Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T18:26:05Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T18:26:05Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T18:26:05Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:25:24Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'WorkerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:25:24Z', '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] [2026-07-28T18:40:09.432861] end - ❌ 900.193s: Missing true conditions: {'WorkloadsReady', 'Ready'}, expected {'WorkloadsReady', 'RouterReady', 'Ready'}, got [{'lastTransitionTime': '2026-07-28T18:26:05Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-28T18:26:05Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T18:25:24Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T18:26:05Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T18:26:05Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T18:26:05Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:25:24Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'WorkerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:25:24Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:test_llm_inference_service.py:903 [router-managed-workload-simulated-dp-ep-cpu-model-pvc] ❌ ERROR: Failed to call llm inference service llmisvc-model-pvc-router-manage-2577e794: Missing true conditions: {'WorkloadsReady', 'Ready'}, expected {'WorkloadsReady', 'RouterReady', 'Ready'}, got [{'lastTransitionTime': '2026-07-28T18:26:05Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-28T18:26:05Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T18:25:24Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T18:26:05Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T18:26:05Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T18:26:05Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:25:24Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'WorkerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:25:24Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:243 # Diagnostics for 'llmisvc-model-pvc-router-manage-2577e794' in 'e2e-test-llm-inference-service-7c3633d1' [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:244 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:247 # LLMInferenceService llmisvc-model-pvc-router-manage-2577e794 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:256 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: '2026-07-28T18:25:09Z' [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: '2026-07-28T18:25:08Z' [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: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: '2026-07-28T18:25:12Z' [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-scheduler-latency-predictor: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-template: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-tokenizer: {} [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: '2026-07-28T18:26:05Z' [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794 [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-7c3633d1 [e2e-llm-inference-service] resourceVersion: '76886' [e2e-llm-inference-service] uid: 04319dde-a31e-4f4d-ba0d-8edf6f47ee97 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] baseRefs: [e2e-llm-inference-service] - name: router-managed-llmisvc-model-pv-2f105a64 [e2e-llm-inference-service] - name: workload-simulated-dp-ep-cpu-ll-699c687c [e2e-llm-inference-service] - name: model-pvc-llmisvc-model-pvc-rou-cfc8d654 [e2e-llm-inference-service] model: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794 [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://a2f315e697b4a44a49ee5648ecb7c72c-2003302153.us-east-1.elb.amazonaws.com/ [e2e-llm-inference-service] - name: gateway-external [e2e-llm-inference-service] url: http://a2f315e697b4a44a49ee5648ecb7c72c-2003302153.us-east-1.elb.amazonaws.com/e2e-test-llm-inference-service-7c3633d1/llmisvc-model-pvc-router-manage-2577e794 [e2e-llm-inference-service] - name: gateway-external [e2e-llm-inference-service] url: http://a2f315e697b4a44a49ee5648ecb7c72c-2003302153.us-east-1.elb.amazonaws.com/publishers/e2e-test-llm-inference-service-7c3633d1/models/facebook/opt-125m [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/e2e-test-llm-inference-service-7c3633d1/llmisvc-model-pvc-router-manage-2577e794 [e2e-llm-inference-service] - name: gateway-internal [e2e-llm-inference-service] url: http://openshift-ai-inference-openshift-default.openshift-ingress.svc.cluster.local/publishers/e2e-test-llm-inference-service-7c3633d1/models/facebook/opt-125m [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-scheduler-latency-predictor: kserve-config-llm-scheduler-latency-predictor [e2e-llm-inference-service] serving.kserve.io/config-llm-template: kserve-config-llm-template [e2e-llm-inference-service] serving.kserve.io/config-llm-tokenizer: kserve-config-llm-tokenizer [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: '2026-07-28T18:26:05Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: HTTPRoutesReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-28T18:26:05Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: InferencePoolReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-28T18:25:24Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: PresetsCombined [e2e-llm-inference-service] - lastTransitionTime: '2026-07-28T18:26:05Z' [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: '2026-07-28T18:26:05Z' [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: RouterReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-28T18:26:05Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: SchedulerWorkloadReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-28T18:25:24Z' [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: '2026-07-28T18:25:24Z' [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://a2f315e697b4a44a49ee5648ecb7c72c-2003302153.us-east-1.elb.amazonaws.com/e2e-test-llm-inference-service-7c3633d1/llmisvc-model-pvc-router-manage-2577e794 [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:68 TIME NAMESPACE SOURCE TYPE REASON MESSAGE [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:69 -------------------------------------------------------------------------------------------------- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 None e2e-test-llm-inference-service-7c3633d1 Normal Scheduled Successfully assigned e2e-test-llm-inference-service-7c3633d1/e2e-pvc-model-download-pq4jd to ip-10-0-133-48.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:24:33 e2e-test-llm-inference-service-7c3633d1 attachdetach-controller Normal SuccessfulAttachVolume AttachVolume.Attach succeeded for volume "pvc-7d756db3-eb29-40f3-a25b-3a380916c2b0" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:24:40 e2e-test-llm-inference-service-7c3633d1 multus Normal AddedInterface Add eth0 [10.132.0.52/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:24:40 e2e-test-llm-inference-service-7c3633d1 kubelet/ip-10-0-133-48.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:3049312fa55515cbc94d5484b2c3ba6994735bde07ec862ad9b359b89e6c0af0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:24:40 e2e-test-llm-inference-service-7c3633d1 kubelet/ip-10-0-133-48.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:24:40 e2e-test-llm-inference-service-7c3633d1 kubelet/ip-10-0-133-48.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:24:28 e2e-test-llm-inference-service-7c3633d1 job-controller Normal SuccessfulCreate Created pod: e2e-pvc-model-download-pq4jd [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:25:03 e2e-test-llm-inference-service-7c3633d1 job-controller Normal Completed Job completed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:24:28 e2e-test-llm-inference-service-7c3633d1 persistentvolume-controller Normal WaitForFirstConsumer waiting for first consumer to be created before binding [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:24:28 e2e-test-llm-inference-service-7c3633d1 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:80 2026-07-28 18:24:28 e2e-test-llm-inference-service-7c3633d1 ebs.csi.aws.com_aws-ebs-csi-driver-controller-5876dc685-z5j92_77ea1988-795e-4770-9745-05602a088e44 Normal Provisioning External provisioner is provisioning volume for claim "e2e-test-llm-inference-service-7c3633d1/e2e-pvc-model-storage" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:24:30 e2e-test-llm-inference-service-7c3633d1 ebs.csi.aws.com_aws-ebs-csi-driver-controller-5876dc685-z5j92_77ea1988-795e-4770-9745-05602a088e44 Normal ProvisioningSucceeded Successfully provisioned volume pvc-7d756db3-eb29-40f3-a25b-3a380916c2b0 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 None e2e-test-llm-inference-service-7c3633d1 Normal Scheduled Successfully assigned e2e-test-llm-inference-service-7c3633d1/llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0-1 to ip-10-0-133-48.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:25:25 e2e-test-llm-inference-service-7c3633d1 attachdetach-controller Normal SuccessfulAttachVolume AttachVolume.Attach succeeded for volume "pvc-7d756db3-eb29-40f3-a25b-3a380916c2b0" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:25:31 e2e-test-llm-inference-service-7c3633d1 multus Normal AddedInterface Add eth0 [10.132.0.53/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:25:31 e2e-test-llm-inference-service-7c3633d1 kubelet/ip-10-0-133-48.ec2.internal Normal Pulled Container image "vllm/vllm-openai-cpu:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:25:31 e2e-test-llm-inference-service-7c3633d1 kubelet/ip-10-0-133-48.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:25:31 e2e-test-llm-inference-service-7c3633d1 kubelet/ip-10-0-133-48.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 None e2e-test-llm-inference-service-7c3633d1 Normal Scheduled Successfully assigned e2e-test-llm-inference-service-7c3633d1/llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0 to ip-10-0-138-42.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:25:22 e2e-test-llm-inference-service-7c3633d1 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:80 2026-07-28 18:25:25 e2e-test-llm-inference-service-7c3633d1 attachdetach-controller Warning FailedAttachVolume Multi-Attach error for volume "pvc-7d756db3-eb29-40f3-a25b-3a380916c2b0" Volume is already used by pod(s) llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0-1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:25:22 e2e-test-llm-inference-service-7c3633d1 leaderworkerset Normal CreatingRevision Creating revision with key 7bc46f896d for a newly created LeaderWorkerSet [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:25:22 e2e-test-llm-inference-service-7c3633d1 leaderworkerset Normal GroupsProgressing Created leader statefulset llmisvc-model-pvc-router-manage-2577e794-kserve-mn [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:25:22 e2e-test-llm-inference-service-7c3633d1 leaderworkerset Normal GroupsProgressing Replicas are progressing, with 0 groups ready of total 1 groups [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:25:22 e2e-test-llm-inference-service-7c3633d1 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:80 2026-07-28 18:25:22 e2e-test-llm-inference-service-7c3633d1 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:80 2026-07-28 18:25:14 e2e-test-llm-inference-service-7c3633d1 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 e2e-test-llm-inference-service-7c3633d1/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:80 2026-07-28 18:25:22 e2e-test-llm-inference-service-7c3633d1 LLMInferenceServiceController Normal Created Created v1.Secret e2e-test-llm-inference-service-7c3633d1/llmisv1dc4269d1ada5f2d28562215d180c57f-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:25:22 e2e-test-llm-inference-service-7c3633d1 LLMInferenceServiceController Normal Created Created v1.RoleBinding e2e-test-llm-inference-service-7c3633d1/llmisvc-model-pvc-router-manage-2577e794-kserve-mn-scc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:25:22 e2e-test-llm-inference-service-7c3633d1 LLMInferenceServiceController Normal Created Created v1.ServiceAccount e2e-test-llm-inference-service-7c3633d1/llmisvc-model-pvc-router-manage-2577e794-kserve-mn [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:25:22 e2e-test-llm-inference-service-7c3633d1 LLMInferenceServiceController Normal Created Created v1.LeaderWorkerSet e2e-test-llm-inference-service-7c3633d1/llmisvc-model-pvc-router-manage-2577e794-kserve-mn [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:25:22 e2e-test-llm-inference-service-7c3633d1 LLMInferenceServiceController Normal Created Created v1.Service e2e-test-llm-inference-service-7c3633d1/llmisvc-model-pvc-router-manage-2577e794-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:25:22 e2e-test-llm-inference-service-7c3633d1 LLMInferenceServiceController Normal Created Created v1.ServiceAccount e2e-test-llm-inference-service-7c3633d1/llmisvc-model-pvc-router-manage-2577e794-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:25:22 e2e-test-llm-inference-service-7c3633d1 LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /e2e-test-llm-inference-service-5571cf2b7477d60b74b195d7a6a8f03e [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:25:22 e2e-test-llm-inference-service-7c3633d1 LLMInferenceServiceController Normal Created Created v1.Role e2e-test-llm-inference-service-7c3633d1/llmisvc-model-pvc-router-manage-2577e794-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:25:22 e2e-test-llm-inference-service-7c3633d1 LLMInferenceServiceController Normal Created Created v1.RoleBinding e2e-test-llm-inference-service-7c3633d1/llmisvc-model-pvc-router-manage-2577e794-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:26:05 e2e-test-llm-inference-service-7c3633d1 LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule e2e-test-llm-inference-service-7c3633d1/llmisvc-model-pvc-router-manage-2577e794-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:35:39 e2e-test-llm-inference-service-7c3633d1 LLMInferenceServiceController Normal Updated Updated v1.Secret e2e-test-llm-inference-service-7c3633d1/llmisv1dc4269d1ada5f2d28562215d180c57f-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:26:04 e2e-test-llm-inference-service-7c3633d1 LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute e2e-test-llm-inference-service-7c3633d1/llmisvc-model-pvc-router-manage-2577e794-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:25:22 e2e-test-llm-inference-service-7c3633d1 replicaset-controller Normal SuccessfulCreate Created pod: llmisvc1dc4269d1ada5f2d28562215d180c57f-kserve-router-schesg74z [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:25:22 e2e-test-llm-inference-service-7c3633d1 deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc1dc4269d1ada5f2d28562215d180c57f-kserve-router-scheduler-66dcb4d65d from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 None e2e-test-llm-inference-service-7c3633d1 Normal Scheduled Successfully assigned e2e-test-llm-inference-service-7c3633d1/llmisvc1dc4269d1ada5f2d28562215d180c57f-kserve-router-schesg74z to ip-10-0-138-42.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:25:23 e2e-test-llm-inference-service-7c3633d1 multus Normal AddedInterface Add eth0 [10.133.0.59/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:25:23 e2e-test-llm-inference-service-7c3633d1 kubelet/ip-10-0-138-42.ec2.internal Normal Pulled Container image "quay.io/opendatahub/odh-llm-d-router-endpoint-picker:v0.9.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:25:23 e2e-test-llm-inference-service-7c3633d1 kubelet/ip-10-0-138-42.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:80 2026-07-28 18:25:23 e2e-test-llm-inference-service-7c3633d1 kubelet/ip-10-0-138-42.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:172 ### Pod llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0 (phase=Pending) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:212 #### container 'main' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:228 # -- logs (current): unavailable ((400) [e2e-llm-inference-service] Reason: Bad Request [e2e-llm-inference-service] HTTP response headers: HTTPHeaderDict({'Audit-Id': 'a8f94800-a8df-4aa1-8400-977b23b54522', 'Cache-Control': 'no-cache, private', 'Content-Type': 'application/json', 'Strict-Transport-Security': 'max-age=31536000; includeSubDomains; preload', 'Date': 'Tue, 28 Jul 2026 18:40:09 GMT', 'Content-Length': '236'}) [e2e-llm-inference-service] HTTP response body: {"kind":"Status","apiVersion":"v1","metadata":{},"status":"Failure","message":"container \"main\" in pod \"llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0\" is waiting to start: ContainerCreating","reason":"BadRequest","code":400} [e2e-llm-inference-service] [e2e-llm-inference-service] ) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:172 ### Pod llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0-1 (phase=Running) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:212 #### container 'main' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:225 # -- logs (current) -- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:226 INFO 07-28 18:25:43 [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 07-28 18:25:43 [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 07-28 18:25:48 [utils.py:299] [e2e-llm-inference-service] (APIServer pid=1) INFO 07-28 18:25:48 [utils.py:299] █ █ █▄ ▄█ [e2e-llm-inference-service] (APIServer pid=1) INFO 07-28 18:25:48 [utils.py:299] ▄▄ ▄█ █ █ █ ▀▄▀ █ version 0.19.0 [e2e-llm-inference-service] (APIServer pid=1) INFO 07-28 18:25:48 [utils.py:299] █▄█▀ █ █ █ █ model /mnt/models [e2e-llm-inference-service] (APIServer pid=1) INFO 07-28 18:25:48 [utils.py:299] ▀▀ ▀▀▀▀▀ ▀▀▀▀▀ ▀ ▀ [e2e-llm-inference-service] (APIServer pid=1) INFO 07-28 18:25:48 [utils.py:299] [e2e-llm-inference-service] (APIServer pid=1) INFO 07-28 18:25:48 [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 07-28 18:25:48 [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 07-28 18:26:05 [model.py:549] Resolved architecture: OPTForCausalLM [e2e-llm-inference-service] (APIServer pid=1) INFO 07-28 18:26:05 [model.py:1678] Using max model len 2048 [e2e-llm-inference-service] (APIServer pid=1) INFO 07-28 18:26:05 [vllm.py:790] Asynchronous scheduling is enabled. [e2e-llm-inference-service] INFO 07-28 18:26:17 [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 07-28 18:26:17 [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 07-28 18:26:22 [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 07-28 18:26:23 [cpu_worker.py:236] auto thread-binding list (id, physical core): [(4, 0), (5, 1), (6, 2), (7, 3)] [e2e-llm-inference-service] [W728 18:26:23.389178562 utils.cpp:76] Warning: numa_migrate_pages failed. errno: 1 (function init_cpu_threads_env) [e2e-llm-inference-service] [W728 18:26:23.389206719 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 07-28 18:26:23 [cpu_worker.py:109] OMP threads binding of Process 41: [e2e-llm-inference-service] (EngineCore pid=41) INFO 07-28 18:26:23 [cpu_worker.py:109] OMP tid: 41, core 4 [e2e-llm-inference-service] (EngineCore pid=41) INFO 07-28 18:26:23 [cpu_worker.py:109] OMP tid: 58, core 5 [e2e-llm-inference-service] (EngineCore pid=41) INFO 07-28 18:26:23 [cpu_worker.py:109] OMP tid: 59, core 6 [e2e-llm-inference-service] (EngineCore pid=41) INFO 07-28 18:26:23 [cpu_worker.py:109] OMP tid: 60, core 7 [e2e-llm-inference-service] (EngineCore pid=41) INFO 07-28 18:26:23 [cpu_worker.py:109] [e2e-llm-inference-service] (EngineCore pid=41) INFO 07-28 18:26:23 [parallel_state.py:1400] world_size=1 rank=0 local_rank=0 distributed_init_method=tcp://10.132.0.53:33753 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 07-28 18:26:23 [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 07-28 18:26:23 [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}, 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":1785263123.4318674,"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":1785263123.4319425,"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":1785263123.431964,"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":1785263123.431998,"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":1785263123.4320865,"caller":"runner/runner.go:685","msg":"loaded configuration from file/text successfully"} [e2e-llm-inference-service] {"level":"info","ts":1785263123.4320974,"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, kv-cache-utilization-scorer/kv-cache-utilization-scorer: 2.000000, prefix-cache-scorer/prefix-cache-scorer: 3.000000, no-hit-lru-scorer/no-hit-lru-scorer: 2.000000], Picker: max-score-picker/max-score-picker}]} SaturationDetector:0xc0007d25c0 DataConfig:{Sources:[{Plugin:0xc0004d1200 Extractors:[0xc0007d27c0]}]} FlowControlConfig: ParserRegistry:0xc0007d2d00}"} [e2e-llm-inference-service] {"level":"info","ts":1785263123.4499156,"logger":"setup","caller":"runner/runner.go:352","msg":"Setting pprof handlers"} [e2e-llm-inference-service] {"level":"info","ts":1785263123.4499536,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/cmdline"} [e2e-llm-inference-service] {"level":"info","ts":1785263123.4499712,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/profile"} [e2e-llm-inference-service] {"level":"info","ts":1785263123.449978,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/symbol"} [e2e-llm-inference-service] {"level":"info","ts":1785263123.4499843,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/heap"} [e2e-llm-inference-service] {"level":"info","ts":1785263123.44999,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/goroutine"} [e2e-llm-inference-service] {"level":"info","ts":1785263123.4499967,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/threadcreate"} [e2e-llm-inference-service] {"level":"info","ts":1785263123.4500036,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/mutex"} [e2e-llm-inference-service] {"level":"info","ts":1785263123.4500117,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/trace"} [e2e-llm-inference-service] {"level":"info","ts":1785263123.4500208,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/allocs"} [e2e-llm-inference-service] {"level":"info","ts":1785263123.450029,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/block"} [e2e-llm-inference-service] {"level":"info","ts":1785263123.450038,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/"} [e2e-llm-inference-service] {"level":"info","ts":1785263123.4500515,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/plugins/state"} [e2e-llm-inference-service] {"level":"info","ts":1785263123.4500604,"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, kv-cache-utilization-scorer/kv-cache-utilization-scorer: 2.000000, prefix-cache-scorer/prefix-cache-scorer: 3.000000, no-hit-lru-scorer/no-hit-lru-scorer: 2.000000], Picker: max-score-picker/max-score-picker}]}"} [e2e-llm-inference-service] {"level":"info","ts":1785263123.4500968,"logger":"setup","caller":"datalayer/runtime.go:99","msg":"Configuring datalayer runtime","numSources":1} [e2e-llm-inference-service] {"level":"info","ts":1785263123.4501092,"logger":"setup","caller":"datalayer/runtime.go:118","msg":"Processing source","source":"metrics-data-source","numExtractors":1} [e2e-llm-inference-service] {"level":"info","ts":1785263123.4501302,"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":1785263123.4501476,"logger":"setup","caller":"datalayer/runtime.go:206","msg":"Datalayer runtime configured","pollers":1,"notifiers":0,"endpointSources":0} [e2e-llm-inference-service] {"level":"info","ts":1785263123.4501626,"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":1785263123.4502623,"logger":"setup","caller":"runner/runner.go:721","msg":"ExtProc server runner added to manager."} [e2e-llm-inference-service] {"level":"info","ts":1785263123.4502752,"logger":"setup","caller":"runner/runner.go:260","msg":"Controller manager starting"} [e2e-llm-inference-service] {"level":"info","ts":1785263123.4503124,"logger":"controller-runtime.metrics","caller":"server/server.go:208","msg":"Starting metrics server"} [e2e-llm-inference-service] {"level":"info","ts":1785263123.4504662,"caller":"runnable/grpc.go:35","msg":"gRPC server starting","name":"health"} [e2e-llm-inference-service] {"level":"info","ts":1785263123.4508076,"logger":"controller-runtime.metrics","caller":"server/server.go:247","msg":"Serving metrics server","bindAddress":":9090","secure":false} [e2e-llm-inference-service] {"level":"info","ts":1785263123.4508367,"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":1785263123.4509492,"caller":"controller/controller.go:370","msg":"Starting EventSource","controller":"inferencemodelrewrite","controllerGroup":"llm-d.ai","controllerKind":"InferenceModelRewrite","source":"kind source: *v1alpha2.InferenceModelRewrite"} [e2e-llm-inference-service] {"level":"info","ts":1785263123.4509604,"caller":"runnable/grpc.go:43","msg":"gRPC server listening","name":"health","port":9003} [e2e-llm-inference-service] {"level":"info","ts":1785263123.4510586,"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":1785263123.4511409,"caller":"controller/controller.go:370","msg":"Starting EventSource","controller":"inferenceobjective","controllerGroup":"llm-d.ai","controllerKind":"InferenceObjective","source":"kind source: *v1alpha2.InferenceObjective"} [e2e-llm-inference-service] {"level":"info","ts":1785263123.45152,"caller":"runnable/grpc.go:35","msg":"gRPC server starting","name":"ext-proc"} [e2e-llm-inference-service] {"level":"info","ts":1785263123.4516056,"caller":"runnable/grpc.go:43","msg":"gRPC server listening","name":"ext-proc","port":9002} [e2e-llm-inference-service] {"level":"info","ts":1785263123.4555802,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1alpha2.InferenceObjective","reflector":"go/pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1785263123.4555838,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1alpha2.InferenceModelRewrite","reflector":"go/pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1785263123.455851,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1.InferencePool","reflector":"go/pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1785263123.4562268,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1.Pod","reflector":"go/pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1785263123.5523071,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"inferencemodelrewrite","controllerGroup":"llm-d.ai","controllerKind":"InferenceModelRewrite"} [e2e-llm-inference-service] {"level":"info","ts":1785263123.552336,"caller":"controller/controller.go:306","msg":"Starting workers","controller":"inferencemodelrewrite","controllerGroup":"llm-d.ai","controllerKind":"InferenceModelRewrite","worker count":1} [e2e-llm-inference-service] {"level":"info","ts":1785263123.5524576,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"inferenceobjective","controllerGroup":"llm-d.ai","controllerKind":"InferenceObjective"} [e2e-llm-inference-service] {"level":"info","ts":1785263123.552481,"caller":"controller/controller.go:306","msg":"Starting workers","controller":"inferenceobjective","controllerGroup":"llm-d.ai","controllerKind":"InferenceObjective","worker count":1} [e2e-llm-inference-service] {"level":"info","ts":1785263123.5525224,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"inferencepool","controllerGroup":"inference.networking.k8s.io","controllerKind":"InferencePool"} [e2e-llm-inference-service] {"level":"info","ts":1785263123.5525432,"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":1785263123.552666,"caller":"controller/inferencepool_reconciler.go:46","msg":"Reconciling InferencePool","controller":"inferencepool","controllerGroup":"inference.networking.k8s.io","controllerKind":"InferencePool","InferencePool":{"name":"llmisvc-model-pvc-router-manage-2577e794-inference-pool","namespace":"e2e-test-llm-inference-service-7c3633d1"},"namespace":"e2e-test-llm-inference-service-7c3633d1","name":"llmisvc-model-pvc-router-manage-2577e794-inference-pool","reconcileID":"590f9b44-7447-4fdf-b5a3-cd10eb121453"} [e2e-llm-inference-service] {"level":"info","ts":1785263123.6526897,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"pod","controllerGroup":"","controllerKind":"Pod"} [e2e-llm-inference-service] {"level":"info","ts":1785263123.6527576,"caller":"controller/controller.go:306","msg":"Starting workers","controller":"pod","controllerGroup":"","controllerKind":"Pod","worker count":1} [e2e-llm-inference-service] {"level":"info","ts":1785263164.6485822,"caller":"controller/inferencepool_reconciler.go:46","msg":"Reconciling InferencePool","controller":"inferencepool","controllerGroup":"inference.networking.k8s.io","controllerKind":"InferencePool","InferencePool":{"name":"llmisvc-model-pvc-router-manage-2577e794-inference-pool","namespace":"e2e-test-llm-inference-service-7c3633d1"},"namespace":"e2e-test-llm-inference-service-7c3633d1","name":"llmisvc-model-pvc-router-manage-2577e794-inference-pool","reconcileID":"b5480994-67bb-489c-824e-d4ebab1ea507"} [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-epp-service [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-7c3633d1 [e2e-llm-inference-service] uid: 793b2f21-61d6-46e4-b685-48bf045ab591 [e2e-llm-inference-service] resourceVersion: '76738' [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:25:22Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-pvc-router-manage-2577e794 [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: '2026-07-28T18:25:55Z' [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: '2026-07-28T18:25:55Z' [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: 10.133.0.59 [e2e-llm-inference-service] nodeName: ip-10-0-138-42.ec2.internal [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-7c3633d1 [e2e-llm-inference-service] name: llmisvc1dc4269d1ada5f2d28562215d180c57f-kserve-router-schesg74z [e2e-llm-inference-service] uid: 2e2ca4b5-f8f2-424f-9e8c-9729a45302ea [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-kserve-workload-svc [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-7c3633d1 [e2e-llm-inference-service] uid: eb1b6ccf-b36a-4fc2-9f0e-7296a912fb38 [e2e-llm-inference-service] resourceVersion: '76110' [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:25:22Z' [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-pvc-router-manage-2577e794 [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: '2026-07-28T18:25:22Z' [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: '2026-07-28T18:25:22Z' [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] apiVersion: v1 [e2e-llm-inference-service] kind: Endpoints [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0 [e2e-llm-inference-service] generateName: llmisvc-model-pvc-router-manage-2577e794-kserve-mn- [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-7c3633d1 [e2e-llm-inference-service] uid: 7063749e-9395-4a97-a762-70c848c45d5e [e2e-llm-inference-service] resourceVersion: '76137' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:25:22Z' [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-pvc-router-manage-2577e794 [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-pvc-router-manage-2577e794-kserve-mn-5cf8fb667d [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: ae449cef3b581b6dbab6ee0440d253929da5cb58 [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/name: llmisvc-model-pvc-router-manage-2577e794-kserve-mn [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/template-revision-hash: 7bc46f896d [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-pvc-router-manage-2577e794-kserve-mn-0 [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] k8s.ovn.org/pod-networks: '{"default":{"ip_addresses":["10.133.0.58/23"],"mac_address":"0a:58:0a:85:00:3a","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":"10.133.0.58/23","gateway_ip":"10.133.0.1","role":"primary"}}' [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-pvc-router-manage-2577e794-kserve-mn [e2e-llm-inference-service] uid: efc44e53-e146-4e23-940d-040b5070e7db [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: ip-10-0-138-42 [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-28T18:25:22Z' [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] 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: '2026-07-28T18:25:22Z' [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: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":"efc44e53-e146-4e23-940d-040b5070e7db"}: {} [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: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-pvc-source"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:persistentVolumeClaim: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:claimName: {} [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: '2026-07-28T18:25:22Z' [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: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: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:observedGeneration: {} [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: llmisv1dc4269d1ada5f2d28562215d180c57f-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: kserve-pvc-source [e2e-llm-inference-service] persistentVolumeClaim: [e2e-llm-inference-service] claimName: e2e-pvc-model-storage [e2e-llm-inference-service] - name: kube-api-access-mdv46 [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: vllm/vllm-openai-cpu: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-pvc-router-manage-2577e794-kserve-mn-0.llmisvc-model-pvc-router-manage-2577e794-kserve-mn.e2e-test-llm-inference-service-7c3633d1 [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-pvc-source [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-mdv46 [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: 1001010000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: false [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-pvc-router-manage-2577e794-kserve-mn [e2e-llm-inference-service] serviceAccount: llmisvc-model-pvc-router-manage-2577e794-kserve-mn [e2e-llm-inference-service] nodeName: ip-10-0-138-42.ec2.internal [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] seLinuxOptions: [e2e-llm-inference-service] level: s0:c32,c9 [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-68wll [e2e-llm-inference-service] - name: llmisvc-model-pvc-router-manage-2577e7-b09f84b1-dockercfg-wvhql [e2e-llm-inference-service] hostname: llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0 [e2e-llm-inference-service] subdomain: llmisvc-model-pvc-router-manage-2577e794-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: 'False' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-28T18:25:22Z' [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: '2026-07-28T18:25:22Z' [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: '2026-07-28T18:25:22Z' [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: '2026-07-28T18:25:22Z' [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: '2026-07-28T18:25:22Z' [e2e-llm-inference-service] hostIP: 10.0.138.42 [e2e-llm-inference-service] hostIPs: [e2e-llm-inference-service] - ip: 10.0.138.42 [e2e-llm-inference-service] startTime: '2026-07-28T18:25:22Z' [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: ContainerCreating [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: false [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: vllm/vllm-openai-cpu: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-pvc-source [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-mdv46 [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0-1 [e2e-llm-inference-service] generateName: llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0- [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-7c3633d1 [e2e-llm-inference-service] uid: 22c48fb2-282f-4fc3-b6f9-a72132648c89 [e2e-llm-inference-service] resourceVersion: '76456' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:25:22Z' [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-pvc-router-manage-2577e794 [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-pvc-router-manage-2577e794-kserve-mn-0-74696b7c6f [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/group-index: '0' [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/group-key: ae449cef3b581b6dbab6ee0440d253929da5cb58 [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/name: llmisvc-model-pvc-router-manage-2577e794-kserve-mn [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/template-revision-hash: 7bc46f896d [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/worker-index: '1' [e2e-llm-inference-service] statefulset.kubernetes.io/pod-name: llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0-1 [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] k8s.ovn.org/pod-networks: '{"default":{"ip_addresses":["10.132.0.53/23"],"mac_address":"0a:58:0a:84:00:35","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":"10.132.0.53/23","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 \"10.132.0.53\"\n ],\n\ [e2e-llm-inference-service] \ \"mac\": \"0a:58:0a:84:00:35\",\n \"default\": true,\n \"dns\": {}\n\ [e2e-llm-inference-service] }]" [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/leader-name: llmisvc-model-pvc-router-manage-2577e794-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-pvc-router-manage-2577e794-kserve-mn-0 [e2e-llm-inference-service] uid: bdc08947-ee31-4fa2-9f2d-7221a1168adc [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: ip-10-0-133-48 [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-28T18:25:22Z' [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] 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: '2026-07-28T18:25:22Z' [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: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":"bdc08947-ee31-4fa2-9f2d-7221a1168adc"}: {} [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: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-pvc-source"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:persistentVolumeClaim: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:claimName: {} [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: '2026-07-28T18:25:31Z' [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":"10.132.0.53"}: [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] - manager: multus-daemon [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-28T18:25:31Z' [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: 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: llmisv1dc4269d1ada5f2d28562215d180c57f-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: kserve-pvc-source [e2e-llm-inference-service] persistentVolumeClaim: [e2e-llm-inference-service] claimName: e2e-pvc-model-storage [e2e-llm-inference-service] - name: kube-api-access-bgpt7 [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: vllm/vllm-openai-cpu: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-pvc-router-manage-2577e794-kserve-mn-0.llmisvc-model-pvc-router-manage-2577e794-kserve-mn.e2e-test-llm-inference-service-7c3633d1 [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-pvc-source [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-bgpt7 [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: 1001010000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: false [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-pvc-router-manage-2577e794-kserve-mn [e2e-llm-inference-service] serviceAccount: llmisvc-model-pvc-router-manage-2577e794-kserve-mn [e2e-llm-inference-service] nodeName: ip-10-0-133-48.ec2.internal [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] seLinuxOptions: [e2e-llm-inference-service] level: s0:c32,c9 [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-68wll [e2e-llm-inference-service] - name: llmisvc-model-pvc-router-manage-2577e7-b09f84b1-dockercfg-wvhql [e2e-llm-inference-service] hostname: llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0-1 [e2e-llm-inference-service] subdomain: llmisvc-model-pvc-router-manage-2577e794-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: '2026-07-28T18:25:31Z' [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: '2026-07-28T18:25:22Z' [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: '2026-07-28T18:25:31Z' [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: '2026-07-28T18:25:31Z' [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: '2026-07-28T18:25:22Z' [e2e-llm-inference-service] hostIP: 10.0.133.48 [e2e-llm-inference-service] hostIPs: [e2e-llm-inference-service] - ip: 10.0.133.48 [e2e-llm-inference-service] podIP: 10.132.0.53 [e2e-llm-inference-service] podIPs: [e2e-llm-inference-service] - ip: 10.132.0.53 [e2e-llm-inference-service] startTime: '2026-07-28T18:25:22Z' [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: '2026-07-28T18:25:31Z' [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: docker.io/vllm/vllm-openai-cpu:v0.19.0 [e2e-llm-inference-service] imageID: docker.io/vllm/vllm-openai-cpu@sha256:a8257c201fd2f696c146615987be61579aa2052367b73c27bd3fb1ab8e90bd4b [e2e-llm-inference-service] containerID: cri-o://ef44dc7d24bbe012a22bd2352cdc54e231a400f927741eb000d323ee3d5564f5 [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-pvc-source [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-bgpt7 [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: 1001010000 [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc1dc4269d1ada5f2d28562215d180c57f-kserve-router-schesg74z [e2e-llm-inference-service] generateName: llmisvc1dc4269d1ada5f2d28562215d180c57f-kserve-router-scheduler-66dcb4d65d- [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-7c3633d1 [e2e-llm-inference-service] uid: 2e2ca4b5-f8f2-424f-9e8c-9729a45302ea [e2e-llm-inference-service] resourceVersion: '76736' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:25:22Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-pvc-router-manage-2577e794 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 66dcb4d65d [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] app.kubernetes.io/version: 0.10.0 [e2e-llm-inference-service] certificates.kserve.io/expiration-v2: 'true' [e2e-llm-inference-service] k8s.ovn.org/pod-networks: '{"default":{"ip_addresses":["10.133.0.59/23"],"mac_address":"0a:58:0a:85:00:3b","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":"10.133.0.59/23","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 \"10.133.0.59\"\n ],\n\ [e2e-llm-inference-service] \ \"mac\": \"0a:58:0a:85:00:3b\",\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: llmisvc1dc4269d1ada5f2d28562215d180c57f-kserve-router-scheduler-66dcb4d65d [e2e-llm-inference-service] uid: 753ee2d4-d48b-4b99-8b64-db57b3b01781 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: ip-10-0-138-42 [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-28T18:25:22Z' [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] 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: '2026-07-28T18:25:22Z' [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: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":"753ee2d4-d48b-4b99-8b64-db57b3b01781"}: {} [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: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: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] 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] - manager: multus-daemon [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-28T18:25:23Z' [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: '2026-07-28T18:25:55Z' [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":"10.133.0.59"}: [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: llmisv1dc4269d1ada5f2d28562215d180c57f-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: kube-api-access-7vggm [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: quay.io/opendatahub/odh-llm-d-router-endpoint-picker:v0.9.0 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/epp [e2e-llm-inference-service] - --pool-name [e2e-llm-inference-service] - llmisvc-model-pvc-router-manage-2577e794-inference-pool [e2e-llm-inference-service] - --pool-namespace [e2e-llm-inference-service] - e2e-test-llm-inference-service-7c3633d1 [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] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --config-text [e2e-llm-inference-service] - "apiVersion: llm-d.ai/v1alpha1\nkind: EndpointPickerConfig\nplugins:\n- type:\ [e2e-llm-inference-service] \ single-profile-handler\n- type: queue-scorer\n- type: kv-cache-utilization-scorer\n\ [e2e-llm-inference-service] - type: prefix-cache-scorer\n- type: no-hit-lru-scorer\n- type: max-score-picker\n\ [e2e-llm-inference-service] - parameters:\n scheme: https\n type: metrics-data-source\nschedulingProfiles:\n\ [e2e-llm-inference-service] - name: default\n plugins:\n - pluginRef: queue-scorer\n weight: 2\n -\ [e2e-llm-inference-service] \ pluginRef: kv-cache-utilization-scorer\n weight: 2\n - pluginRef: prefix-cache-scorer\n\ [e2e-llm-inference-service] \ weight: 3\n - pluginRef: no-hit-lru-scorer\n weight: 2\n - pluginRef:\ [e2e-llm-inference-service] \ 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] limits: [e2e-llm-inference-service] cpu: '6' [e2e-llm-inference-service] memory: 16Gi [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: kube-api-access-7vggm [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: 1001010000 [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-pvc-router-manage-2577e794-epp-sa [e2e-llm-inference-service] serviceAccount: llmisvc-model-pvc-router-manage-2577e794-epp-sa [e2e-llm-inference-service] nodeName: ip-10-0-138-42.ec2.internal [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] seLinuxOptions: [e2e-llm-inference-service] level: s0:c32,c9 [e2e-llm-inference-service] fsGroup: 1001010000 [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-68wll [e2e-llm-inference-service] - name: llmisvc-model-pvc-router-manage-2577e794-epp-sa-dockercfg-5zmbm [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: '2026-07-28T18:25:24Z' [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: '2026-07-28T18:25:22Z' [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: '2026-07-28T18:25:55Z' [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: '2026-07-28T18:25:55Z' [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: '2026-07-28T18:25:22Z' [e2e-llm-inference-service] hostIP: 10.0.138.42 [e2e-llm-inference-service] hostIPs: [e2e-llm-inference-service] - ip: 10.0.138.42 [e2e-llm-inference-service] podIP: 10.133.0.59 [e2e-llm-inference-service] podIPs: [e2e-llm-inference-service] - ip: 10.133.0.59 [e2e-llm-inference-service] startTime: '2026-07-28T18:25:22Z' [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: '2026-07-28T18:25:23Z' [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/odh-llm-d-router-endpoint-picker:v0.9.0 [e2e-llm-inference-service] imageID: quay.io/opendatahub/odh-llm-d-router-endpoint-picker@sha256:7fd1d61cb5505e026eebab0b9653758779c3dee241e37bea92a0bab961a48c50 [e2e-llm-inference-service] containerID: cri-o://ca77803a488ed61164f49a8e1b01e3ddf8f7d94da3d413ed872305efd36af674 [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] limits: [e2e-llm-inference-service] cpu: '6' [e2e-llm-inference-service] memory: 16Gi [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: kube-api-access-7vggm [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: 1001010000 [e2e-llm-inference-service] gid: 0 [e2e-llm-inference-service] supplementalGroups: [e2e-llm-inference-service] - 0 [e2e-llm-inference-service] - 1001010000 [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-epp-sa [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-7c3633d1 [e2e-llm-inference-service] uid: 9de99723-67ad-451d-8a95-b20f295e7734 [e2e-llm-inference-service] resourceVersion: '76118' [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:25:22Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-pvc-router-manage-2577e794 [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-pvc-router-manage-2577e794-epp-sa-dockercfg-5zmbm [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-pvc-router-manage-2577e794 [e2e-llm-inference-service] uid: 04319dde-a31e-4f4d-ba0d-8edf6f47ee97 [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: '2026-07-28T18:25:22Z' [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-pvc-router-manage-2577e794-epp-sa-dockercfg-5zmbm"}: {} [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-28T18:25:22Z' [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":"04319dde-a31e-4f4d-ba0d-8edf6f47ee97"}: {} [e2e-llm-inference-service] f:secrets: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"default-dockercfg-68wll"}: {} [e2e-llm-inference-service] k:{"name":"seaweedfs-s3-creds"}: {} [e2e-llm-inference-service] secrets: [e2e-llm-inference-service] - name: seaweedfs-s3-creds [e2e-llm-inference-service] - name: default-dockercfg-68wll [e2e-llm-inference-service] - name: llmisvc-model-pvc-router-manage-2577e794-epp-sa-dockercfg-5zmbm [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-68wll [e2e-llm-inference-service] - name: llmisvc-model-pvc-router-manage-2577e794-epp-sa-dockercfg-5zmbm [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: ServiceAccount [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-kserve-mn [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-7c3633d1 [e2e-llm-inference-service] uid: 2ce489b6-a4c2-473b-9b0c-5b8514596190 [e2e-llm-inference-service] resourceVersion: '76096' [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:25:22Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-pvc-router-manage-2577e794 [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-pvc-router-manage-2577e7-b09f84b1-dockercfg-wvhql [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-pvc-router-manage-2577e794 [e2e-llm-inference-service] uid: 04319dde-a31e-4f4d-ba0d-8edf6f47ee97 [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: '2026-07-28T18:25:22Z' [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-pvc-router-manage-2577e7-b09f84b1-dockercfg-wvhql"}: {} [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-28T18:25:22Z' [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":"04319dde-a31e-4f4d-ba0d-8edf6f47ee97"}: {} [e2e-llm-inference-service] f:secrets: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"default-dockercfg-68wll"}: {} [e2e-llm-inference-service] k:{"name":"seaweedfs-s3-creds"}: {} [e2e-llm-inference-service] secrets: [e2e-llm-inference-service] - name: seaweedfs-s3-creds [e2e-llm-inference-service] - name: default-dockercfg-68wll [e2e-llm-inference-service] - name: llmisvc-model-pvc-router-manage-2577e7-b09f84b1-dockercfg-wvhql [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-68wll [e2e-llm-inference-service] - name: llmisvc-model-pvc-router-manage-2577e7-b09f84b1-dockercfg-wvhql [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: ServiceAccount [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-epp-service [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-7c3633d1 [e2e-llm-inference-service] uid: f7efa164-bb19-4a24-8d4b-25b59e6efc9d [e2e-llm-inference-service] resourceVersion: '76160' [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:25:22Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-pvc-router-manage-2577e794 [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-pvc-router-manage-2577e794 [e2e-llm-inference-service] uid: 04319dde-a31e-4f4d-ba0d-8edf6f47ee97 [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: '2026-07-28T18:25:22Z' [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":"04319dde-a31e-4f4d-ba0d-8edf6f47ee97"}: {} [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-pvc-router-manage-2577e794 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] clusterIP: 172.31.2.123 [e2e-llm-inference-service] clusterIPs: [e2e-llm-inference-service] - 172.31.2.123 [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-kserve-workload-svc [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-7c3633d1 [e2e-llm-inference-service] uid: b133f7db-f9a5-4bb7-a569-8ab19941e2c9 [e2e-llm-inference-service] resourceVersion: '76106' [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:25:22Z' [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-pvc-router-manage-2577e794 [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-pvc-router-manage-2577e794 [e2e-llm-inference-service] uid: 04319dde-a31e-4f4d-ba0d-8edf6f47ee97 [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: '2026-07-28T18:25:22Z' [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":"04319dde-a31e-4f4d-ba0d-8edf6f47ee97"}: {} [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-pvc-router-manage-2577e794 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] clusterIP: 172.31.115.143 [e2e-llm-inference-service] clusterIPs: [e2e-llm-inference-service] - 172.31.115.143 [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0-74696b7c6f [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-7c3633d1 [e2e-llm-inference-service] uid: 8e5dfbb2-8cba-4121-9132-5e8bb72cef5a [e2e-llm-inference-service] resourceVersion: '76132' [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:25:22Z' [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-pvc-router-manage-2577e794 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] controller.kubernetes.io/hash: 74696b7c6f [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/group-index: '0' [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/group-key: ae449cef3b581b6dbab6ee0440d253929da5cb58 [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/name: llmisvc-model-pvc-router-manage-2577e794-kserve-mn [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/template-revision-hash: 7bc46f896d [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-pvc-router-manage-2577e794-kserve-mn-0 [e2e-llm-inference-service] uid: bdc08947-ee31-4fa2-9f2d-7221a1168adc [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: '2026-07-28T18:25:22Z' [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":"bdc08947-ee31-4fa2-9f2d-7221a1168adc"}: {} [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-pvc-router-manage-2577e794-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-pvc-router-manage-2577e794 [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: ae449cef3b581b6dbab6ee0440d253929da5cb58 [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/name: llmisvc-model-pvc-router-manage-2577e794-kserve-mn [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/template-revision-hash: 7bc46f896d [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: vllm/vllm-openai-cpu: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: false [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-pvc-source [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] dnsPolicy: ClusterFirst [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-pvc-router-manage-2577e794-kserve-mn [e2e-llm-inference-service] serviceAccountName: llmisvc-model-pvc-router-manage-2577e794-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: llmisv1dc4269d1ada5f2d28562215d180c57f-kserve-self-signed-certs [e2e-llm-inference-service] - name: kserve-pvc-source [e2e-llm-inference-service] persistentVolumeClaim: [e2e-llm-inference-service] claimName: e2e-pvc-model-storage [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-kserve-mn-5cf8fb667d [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-7c3633d1 [e2e-llm-inference-service] uid: 950b0776-76ab-486c-ab5b-6951a69b9dd5 [e2e-llm-inference-service] resourceVersion: '76109' [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:25:22Z' [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-pvc-router-manage-2577e794 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] controller.kubernetes.io/hash: 5cf8fb667d [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/name: llmisvc-model-pvc-router-manage-2577e794-kserve-mn [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/template-revision-hash: 7bc46f896d [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-pvc-router-manage-2577e794-kserve-mn [e2e-llm-inference-service] uid: efc44e53-e146-4e23-940d-040b5070e7db [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: '2026-07-28T18:25:22Z' [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":"efc44e53-e146-4e23-940d-040b5070e7db"}: {} [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-pvc-router-manage-2577e794 [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-pvc-router-manage-2577e794-kserve-mn [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/template-revision-hash: 7bc46f896d [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: vllm/vllm-openai-cpu: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: false [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-pvc-source [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] dnsPolicy: ClusterFirst [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-pvc-router-manage-2577e794-kserve-mn [e2e-llm-inference-service] serviceAccountName: llmisvc-model-pvc-router-manage-2577e794-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: llmisv1dc4269d1ada5f2d28562215d180c57f-kserve-self-signed-certs [e2e-llm-inference-service] - name: kserve-pvc-source [e2e-llm-inference-service] persistentVolumeClaim: [e2e-llm-inference-service] claimName: e2e-pvc-model-storage [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc1dc4269d1ada5f2d28562215d180c57f-kserve-router-scheduler [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-7c3633d1 [e2e-llm-inference-service] uid: 21d9e9f9-ae29-484e-bbbc-90d8daf1a014 [e2e-llm-inference-service] resourceVersion: '76741' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:25:22Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-pvc-router-manage-2577e794 [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-pvc-router-manage-2577e794 [e2e-llm-inference-service] uid: 04319dde-a31e-4f4d-ba0d-8edf6f47ee97 [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: '2026-07-28T18:25:22Z' [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":"04319dde-a31e-4f4d-ba0d-8edf6f47ee97"}: {} [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: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: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] 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] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-28T18:25:55Z' [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-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-pvc-router-manage-2577e794 [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-pvc-router-manage-2577e794 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] app.kubernetes.io/version: 0.10.0 [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: llmisv1dc4269d1ada5f2d28562215d180c57f-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: quay.io/opendatahub/odh-llm-d-router-endpoint-picker:v0.9.0 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/epp [e2e-llm-inference-service] - --pool-name [e2e-llm-inference-service] - llmisvc-model-pvc-router-manage-2577e794-inference-pool [e2e-llm-inference-service] - --pool-namespace [e2e-llm-inference-service] - e2e-test-llm-inference-service-7c3633d1 [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] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --config-text [e2e-llm-inference-service] - "apiVersion: llm-d.ai/v1alpha1\nkind: EndpointPickerConfig\nplugins:\n-\ [e2e-llm-inference-service] \ type: single-profile-handler\n- type: queue-scorer\n- type: kv-cache-utilization-scorer\n\ [e2e-llm-inference-service] - type: prefix-cache-scorer\n- type: no-hit-lru-scorer\n- type: max-score-picker\n\ [e2e-llm-inference-service] - parameters:\n scheme: https\n type: metrics-data-source\nschedulingProfiles:\n\ [e2e-llm-inference-service] - name: default\n plugins:\n - pluginRef: queue-scorer\n weight: 2\n\ [e2e-llm-inference-service] \ - pluginRef: kv-cache-utilization-scorer\n weight: 2\n - pluginRef:\ [e2e-llm-inference-service] \ prefix-cache-scorer\n weight: 3\n - pluginRef: no-hit-lru-scorer\n\ [e2e-llm-inference-service] \ weight: 2\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] limits: [e2e-llm-inference-service] cpu: '6' [e2e-llm-inference-service] memory: 16Gi [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] 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-pvc-router-manage-2577e794-epp-sa [e2e-llm-inference-service] serviceAccount: llmisvc-model-pvc-router-manage-2577e794-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: '2026-07-28T18:25:55Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-28T18:25:55Z' [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: '2026-07-28T18:25:55Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-28T18:25:22Z' [e2e-llm-inference-service] reason: NewReplicaSetAvailable [e2e-llm-inference-service] message: ReplicaSet "llmisvc1dc4269d1ada5f2d28562215d180c57f-kserve-router-scheduler-66dcb4d65d" [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc1dc4269d1ada5f2d28562215d180c57f-kserve-router-scheduler-66dcb4d65d [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-7c3633d1 [e2e-llm-inference-service] uid: 753ee2d4-d48b-4b99-8b64-db57b3b01781 [e2e-llm-inference-service] resourceVersion: '76740' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:25:22Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-pvc-router-manage-2577e794 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 66dcb4d65d [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: llmisvc1dc4269d1ada5f2d28562215d180c57f-kserve-router-scheduler [e2e-llm-inference-service] uid: 21d9e9f9-ae29-484e-bbbc-90d8daf1a014 [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: '2026-07-28T18:25:22Z' [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/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":"21d9e9f9-ae29-484e-bbbc-90d8daf1a014"}: {} [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: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: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] 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] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-28T18:25:55Z' [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-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-pvc-router-manage-2577e794 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 66dcb4d65d [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-pvc-router-manage-2577e794 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 66dcb4d65d [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] app.kubernetes.io/version: 0.10.0 [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: llmisv1dc4269d1ada5f2d28562215d180c57f-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: quay.io/opendatahub/odh-llm-d-router-endpoint-picker:v0.9.0 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/epp [e2e-llm-inference-service] - --pool-name [e2e-llm-inference-service] - llmisvc-model-pvc-router-manage-2577e794-inference-pool [e2e-llm-inference-service] - --pool-namespace [e2e-llm-inference-service] - e2e-test-llm-inference-service-7c3633d1 [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] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --config-text [e2e-llm-inference-service] - "apiVersion: llm-d.ai/v1alpha1\nkind: EndpointPickerConfig\nplugins:\n-\ [e2e-llm-inference-service] \ type: single-profile-handler\n- type: queue-scorer\n- type: kv-cache-utilization-scorer\n\ [e2e-llm-inference-service] - type: prefix-cache-scorer\n- type: no-hit-lru-scorer\n- type: max-score-picker\n\ [e2e-llm-inference-service] - parameters:\n scheme: https\n type: metrics-data-source\nschedulingProfiles:\n\ [e2e-llm-inference-service] - name: default\n plugins:\n - pluginRef: queue-scorer\n weight: 2\n\ [e2e-llm-inference-service] \ - pluginRef: kv-cache-utilization-scorer\n weight: 2\n - pluginRef:\ [e2e-llm-inference-service] \ prefix-cache-scorer\n weight: 3\n - pluginRef: no-hit-lru-scorer\n\ [e2e-llm-inference-service] \ weight: 2\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] limits: [e2e-llm-inference-service] cpu: '6' [e2e-llm-inference-service] memory: 16Gi [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] 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-pvc-router-manage-2577e794-epp-sa [e2e-llm-inference-service] serviceAccount: llmisvc-model-pvc-router-manage-2577e794-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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-epp-rb [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-7c3633d1 [e2e-llm-inference-service] uid: 62398685-2fb6-4fee-bae6-5090241178c8 [e2e-llm-inference-service] resourceVersion: '76151' [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:25:22Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-pvc-router-manage-2577e794 [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-pvc-router-manage-2577e794 [e2e-llm-inference-service] uid: 04319dde-a31e-4f4d-ba0d-8edf6f47ee97 [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: '2026-07-28T18:25:22Z' [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":"04319dde-a31e-4f4d-ba0d-8edf6f47ee97"}: {} [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-pvc-router-manage-2577e794-epp-sa [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-7c3633d1 [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-pvc-router-manage-2577e794-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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-kserve-mn-scc [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-7c3633d1 [e2e-llm-inference-service] uid: 557b5a0d-8907-4540-ac82-146092930400 [e2e-llm-inference-service] resourceVersion: '76091' [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:25:22Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-pvc-router-manage-2577e794 [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-pvc-router-manage-2577e794 [e2e-llm-inference-service] uid: 04319dde-a31e-4f4d-ba0d-8edf6f47ee97 [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: '2026-07-28T18:25:22Z' [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":"04319dde-a31e-4f4d-ba0d-8edf6f47ee97"}: {} [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-pvc-router-manage-2577e794-kserve-mn [e2e-llm-inference-service] - kind: ServiceAccount [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-epp-role [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-7c3633d1 [e2e-llm-inference-service] uid: 195e796f-30a4-4dd8-aace-50b14c362f6f [e2e-llm-inference-service] resourceVersion: '76144' [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:25:22Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-pvc-router-manage-2577e794 [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-pvc-router-manage-2577e794 [e2e-llm-inference-service] uid: 04319dde-a31e-4f4d-ba0d-8edf6f47ee97 [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: '2026-07-28T18:25:22Z' [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":"04319dde-a31e-4f4d-ba0d-8edf6f47ee97"}: {} [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] - llm-d.ai [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferenceobjectives [e2e-llm-inference-service] - inferencemodelrewrites [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-epp-service-bwlf8 [e2e-llm-inference-service] generateName: llmisvc-model-pvc-router-manage-2577e794-epp-service- [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-7c3633d1 [e2e-llm-inference-service] uid: 3745d76a-f5ed-4182-b467-5fdfd856a665 [e2e-llm-inference-service] resourceVersion: '76739' [e2e-llm-inference-service] generation: 3 [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:25:22Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-pvc-router-manage-2577e794 [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-pvc-router-manage-2577e794-epp-service [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] endpoints.kubernetes.io/last-change-trigger-time: '2026-07-28T18:25:55Z' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: v1 [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-epp-service [e2e-llm-inference-service] uid: f7efa164-bb19-4a24-8d4b-25b59e6efc9d [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: '2026-07-28T18:25:55Z' [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":"f7efa164-bb19-4a24-8d4b-25b59e6efc9d"}: {} [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] - 10.133.0.59 [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: e2e-test-llm-inference-service-7c3633d1 [e2e-llm-inference-service] name: llmisvc1dc4269d1ada5f2d28562215d180c57f-kserve-router-schesg74z [e2e-llm-inference-service] uid: 2e2ca4b5-f8f2-424f-9e8c-9729a45302ea [e2e-llm-inference-service] nodeName: ip-10-0-138-42.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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-kserve-workload-s2tpm8 [e2e-llm-inference-service] generateName: llmisvc-model-pvc-router-manage-2577e794-kserve-workload-svc- [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-7c3633d1 [e2e-llm-inference-service] uid: 99954bb7-a4b9-4675-88b7-5a7ec30a9a9c [e2e-llm-inference-service] resourceVersion: '76111' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:25:22Z' [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-pvc-router-manage-2577e794 [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-pvc-router-manage-2577e794-kserve-workload-svc [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] endpoints.kubernetes.io/last-change-trigger-time: '2026-07-28T18:25:22Z' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: v1 [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-kserve-workload-svc [e2e-llm-inference-service] uid: b133f7db-f9a5-4bb7-a569-8ab19941e2c9 [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: '2026-07-28T18:25:22Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:addressType: {} [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":"b133f7db-f9a5-4bb7-a569-8ab19941e2c9"}: {} [e2e-llm-inference-service] addressType: IPv4 [e2e-llm-inference-service] endpoints: null [e2e-llm-inference-service] ports: null [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-epp-rb [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-7c3633d1 [e2e-llm-inference-service] uid: 62398685-2fb6-4fee-bae6-5090241178c8 [e2e-llm-inference-service] resourceVersion: '76151' [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:25:22Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-pvc-router-manage-2577e794 [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-pvc-router-manage-2577e794 [e2e-llm-inference-service] uid: 04319dde-a31e-4f4d-ba0d-8edf6f47ee97 [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: '2026-07-28T18:25:22Z' [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":"04319dde-a31e-4f4d-ba0d-8edf6f47ee97"}: {} [e2e-llm-inference-service] f:roleRef: {} [e2e-llm-inference-service] f:subjects: {} [e2e-llm-inference-service] userNames: [e2e-llm-inference-service] - system:serviceaccount:e2e-test-llm-inference-service-7c3633d1:llmisvc-model-pvc-router-manage-2577e794-epp-sa [e2e-llm-inference-service] groupNames: null [e2e-llm-inference-service] subjects: [e2e-llm-inference-service] - kind: ServiceAccount [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-7c3633d1 [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-epp-sa [e2e-llm-inference-service] roleRef: [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-7c3633d1 [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-kserve-mn-scc [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-7c3633d1 [e2e-llm-inference-service] uid: 557b5a0d-8907-4540-ac82-146092930400 [e2e-llm-inference-service] resourceVersion: '76091' [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:25:22Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-pvc-router-manage-2577e794 [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-pvc-router-manage-2577e794 [e2e-llm-inference-service] uid: 04319dde-a31e-4f4d-ba0d-8edf6f47ee97 [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: '2026-07-28T18:25:22Z' [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":"04319dde-a31e-4f4d-ba0d-8edf6f47ee97"}: {} [e2e-llm-inference-service] f:roleRef: {} [e2e-llm-inference-service] f:subjects: {} [e2e-llm-inference-service] userNames: [e2e-llm-inference-service] - system:serviceaccount:e2e-test-llm-inference-service-7c3633d1:llmisvc-model-pvc-router-manage-2577e794-kserve-mn [e2e-llm-inference-service] - system:serviceaccount:e2e-test-llm-inference-service-7c3633d1:llmisvc-model-pvc-router-manage-2577e794-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-pvc-router-manage-2577e794-kserve-mn [e2e-llm-inference-service] - kind: ServiceAccount [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-epp-role [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-7c3633d1 [e2e-llm-inference-service] uid: 195e796f-30a4-4dd8-aace-50b14c362f6f [e2e-llm-inference-service] resourceVersion: '76144' [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:25:22Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-pvc-router-manage-2577e794 [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-pvc-router-manage-2577e794 [e2e-llm-inference-service] uid: 04319dde-a31e-4f4d-ba0d-8edf6f47ee97 [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: '2026-07-28T18:25:22Z' [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":"04319dde-a31e-4f4d-ba0d-8edf6f47ee97"}: {} [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] - llm-d.ai [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencemodelrewrites [e2e-llm-inference-service] - inferenceobjectives [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 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: '2026-07-28T18:25:22Z' [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-pvc-router-manage-2577e794 [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":"04319dde-a31e-4f4d-ba0d-8edf6f47ee97"}: {} [e2e-llm-inference-service] f:spec: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-28T18:26:04Z' [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: '2026-07-28T18:26:04Z' [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: '2026-07-28T18:26:06Z' [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-kserve-route [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-7c3633d1 [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-pvc-router-manage-2577e794 [e2e-llm-inference-service] uid: 04319dde-a31e-4f4d-ba0d-8edf6f47ee97 [e2e-llm-inference-service] resourceVersion: '76901' [e2e-llm-inference-service] uid: 835bc620-09fe-4026-8251-3f848d4c5ac2 [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-pvc-router-manage-2577e794-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: /e2e-test-llm-inference-service-7c3633d1/llmisvc-model-pvc-router-manage-2577e794/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-pvc-router-manage-2577e794-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: /e2e-test-llm-inference-service-7c3633d1/llmisvc-model-pvc-router-manage-2577e794/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-pvc-router-manage-2577e794-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: /e2e-test-llm-inference-service-7c3633d1/llmisvc-model-pvc-router-manage-2577e794/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-pvc-router-manage-2577e794-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: /e2e-test-llm-inference-service-7c3633d1/llmisvc-model-pvc-router-manage-2577e794/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-pvc-router-manage-2577e794-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/e2e-test-llm-inference-service-7c3633d1/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/e2e-test-llm-inference-service-7c3633d1/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/e2e-test-llm-inference-service-7c3633d1/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/e2e-test-llm-inference-service-7c3633d1/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/e2e-test-llm-inference-service-7c3633d1/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/e2e-test-llm-inference-service-7c3633d1/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/e2e-test-llm-inference-service-7c3633d1/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/e2e-test-llm-inference-service-7c3633d1/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: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-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: /publishers/e2e-test-llm-inference-service-7c3633d1/models/facebook/opt-125m/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-pvc-router-manage-2577e794-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: /publishers/e2e-test-llm-inference-service-7c3633d1/models/facebook/opt-125m/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-pvc-router-manage-2577e794-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: /publishers/e2e-test-llm-inference-service-7c3633d1/models/facebook/opt-125m/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-pvc-router-manage-2577e794-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: /publishers/e2e-test-llm-inference-service-7c3633d1/models/facebook/opt-125m/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-pvc-router-manage-2577e794-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: /publishers/e2e-test-llm-inference-service-7c3633d1/models/facebook/opt-125m [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-pvc-router-manage-2577e794-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: /e2e-test-llm-inference-service-7c3633d1/llmisvc-model-pvc-router-manage-2577e794 [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-pvc-router-manage-2577e794-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/e2e-test-llm-inference-service-7c3633d1/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: '2026-07-28T18:25:22Z' [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: '2026-07-28T18:26:04Z' [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: '2026-07-28T18:25:24Z' [e2e-llm-inference-service] message: Object affected by AuthPolicy [e2e-test-llm-inference-service-7c3633d1/llmisvc-model-pvc-router-manage-2577e794-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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 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: '2026-07-28T18:25:22Z' [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-pvc-router-manage-2577e794 [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":"04319dde-a31e-4f4d-ba0d-8edf6f47ee97"}: {} [e2e-llm-inference-service] f:spec: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-28T18:26:04Z' [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: '2026-07-28T18:26:04Z' [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: '2026-07-28T18:26:06Z' [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-kserve-route [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-7c3633d1 [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-pvc-router-manage-2577e794 [e2e-llm-inference-service] uid: 04319dde-a31e-4f4d-ba0d-8edf6f47ee97 [e2e-llm-inference-service] resourceVersion: '76901' [e2e-llm-inference-service] uid: 835bc620-09fe-4026-8251-3f848d4c5ac2 [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-pvc-router-manage-2577e794-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: /e2e-test-llm-inference-service-7c3633d1/llmisvc-model-pvc-router-manage-2577e794/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-pvc-router-manage-2577e794-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: /e2e-test-llm-inference-service-7c3633d1/llmisvc-model-pvc-router-manage-2577e794/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-pvc-router-manage-2577e794-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: /e2e-test-llm-inference-service-7c3633d1/llmisvc-model-pvc-router-manage-2577e794/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-pvc-router-manage-2577e794-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: /e2e-test-llm-inference-service-7c3633d1/llmisvc-model-pvc-router-manage-2577e794/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-pvc-router-manage-2577e794-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/e2e-test-llm-inference-service-7c3633d1/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/e2e-test-llm-inference-service-7c3633d1/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/e2e-test-llm-inference-service-7c3633d1/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/e2e-test-llm-inference-service-7c3633d1/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/e2e-test-llm-inference-service-7c3633d1/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/e2e-test-llm-inference-service-7c3633d1/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/e2e-test-llm-inference-service-7c3633d1/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/e2e-test-llm-inference-service-7c3633d1/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: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-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: /publishers/e2e-test-llm-inference-service-7c3633d1/models/facebook/opt-125m/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-pvc-router-manage-2577e794-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: /publishers/e2e-test-llm-inference-service-7c3633d1/models/facebook/opt-125m/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-pvc-router-manage-2577e794-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: /publishers/e2e-test-llm-inference-service-7c3633d1/models/facebook/opt-125m/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-pvc-router-manage-2577e794-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: /publishers/e2e-test-llm-inference-service-7c3633d1/models/facebook/opt-125m/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-pvc-router-manage-2577e794-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: /publishers/e2e-test-llm-inference-service-7c3633d1/models/facebook/opt-125m [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-pvc-router-manage-2577e794-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: /e2e-test-llm-inference-service-7c3633d1/llmisvc-model-pvc-router-manage-2577e794 [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-pvc-router-manage-2577e794-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/e2e-test-llm-inference-service-7c3633d1/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: '2026-07-28T18:25:22Z' [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: '2026-07-28T18:26:04Z' [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: '2026-07-28T18:25:24Z' [e2e-llm-inference-service] message: Object affected by AuthPolicy [e2e-test-llm-inference-service-7c3633d1/llmisvc-model-pvc-router-manage-2577e794-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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 apiVersion: inference.networking.k8s.io/v1 [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:25:22Z' [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-pvc-router-manage-2577e794 [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":"04319dde-a31e-4f4d-ba0d-8edf6f47ee97"}: {} [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: '2026-07-28T18:25:22Z' [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: '2026-07-28T18:26:04Z' [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-inference-pool [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-7c3633d1 [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-pvc-router-manage-2577e794 [e2e-llm-inference-service] uid: 04319dde-a31e-4f4d-ba0d-8edf6f47ee97 [e2e-llm-inference-service] resourceVersion: '76860' [e2e-llm-inference-service] uid: 3a9190b5-d4f8-4821-852e-3acadab0f7ae [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-pvc-router-manage-2577e794-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-pvc-router-manage-2577e794 [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: '2026-07-28T18:26:04Z' [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: '2026-07-28T18:26:04Z' [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 apiVersion: kuadrant.io/v1 [e2e-llm-inference-service] kind: AuthPolicy [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:25:24Z' [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-pvc-router-manage-2577e794 [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":"04319dde-a31e-4f4d-ba0d-8edf6f47ee97"}: {} [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: '2026-07-28T18:25:24Z' [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: '2026-07-28T18:25:30Z' [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-kserve-route-authn [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-7c3633d1 [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-pvc-router-manage-2577e794 [e2e-llm-inference-service] uid: 04319dde-a31e-4f4d-ba0d-8edf6f47ee97 [e2e-llm-inference-service] resourceVersion: '76427' [e2e-llm-inference-service] uid: 6f5271fb-11df-4bda-8135-13e340224a23 [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-pvc-router-manage-2577e794-kserve-route [e2e-llm-inference-service] status: [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-28T18:25:25Z' [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: '2026-07-28T18:25:30Z' [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 apiVersion: leaderworkerset.x-k8s.io/v1 [e2e-llm-inference-service] kind: LeaderWorkerSet [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:25:22Z' [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-pvc-router-manage-2577e794 [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: '2026-07-28T18:25:22Z' [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":"04319dde-a31e-4f4d-ba0d-8edf6f47ee97"}: {} [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: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-pvc-source"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:persistentVolumeClaim: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:claimName: {} [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: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-pvc-source"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:persistentVolumeClaim: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:claimName: {} [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: '2026-07-28T18:25:22Z' [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-kserve-mn [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-7c3633d1 [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-pvc-router-manage-2577e794 [e2e-llm-inference-service] uid: 04319dde-a31e-4f4d-ba0d-8edf6f47ee97 [e2e-llm-inference-service] resourceVersion: '76146' [e2e-llm-inference-service] uid: e61b650b-f713-4c03-80dc-1a850cd65b70 [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-pvc-router-manage-2577e794 [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: vllm/vllm-openai-cpu: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: false [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-pvc-source [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] serviceAccountName: llmisvc-model-pvc-router-manage-2577e794-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: llmisv1dc4269d1ada5f2d28562215d180c57f-kserve-self-signed-certs [e2e-llm-inference-service] - name: kserve-pvc-source [e2e-llm-inference-service] persistentVolumeClaim: [e2e-llm-inference-service] claimName: e2e-pvc-model-storage [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-pvc-router-manage-2577e794 [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: vllm/vllm-openai-cpu: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: false [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-pvc-source [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] serviceAccountName: llmisvc-model-pvc-router-manage-2577e794-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: llmisv1dc4269d1ada5f2d28562215d180c57f-kserve-self-signed-certs [e2e-llm-inference-service] - name: kserve-pvc-source [e2e-llm-inference-service] persistentVolumeClaim: [e2e-llm-inference-service] claimName: e2e-pvc-model-storage [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: '2026-07-28T18:25:22Z' [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-pvc-router-manage-2577e794-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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:25:23Z' [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-pvc-router-manage-2577e794 [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":"04319dde-a31e-4f4d-ba0d-8edf6f47ee97"}: {} [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: '2026-07-28T18:25:23Z' [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-kserve-scheduler [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-7c3633d1 [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-pvc-router-manage-2577e794 [e2e-llm-inference-service] uid: 04319dde-a31e-4f4d-ba0d-8edf6f47ee97 [e2e-llm-inference-service] resourceVersion: '76189' [e2e-llm-inference-service] uid: 5454aa04-8498-4997-9187-a5b3d041df5b [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-model-pvc-router-manage-2577e794-epp-service.e2e-test-llm-inference-service-7c3633d1.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-pvc-router-manage-2577e794-epp-service.e2e-test-llm-inference-service-7c3633d1.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:26:05Z' [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-pvc-router-manage-2577e794 [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":"04319dde-a31e-4f4d-ba0d-8edf6f47ee97"}: {} [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: '2026-07-28T18:26:05Z' [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-kserve-shadow-svc [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-7c3633d1 [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-pvc-router-manage-2577e794 [e2e-llm-inference-service] uid: 04319dde-a31e-4f4d-ba0d-8edf6f47ee97 [e2e-llm-inference-service] resourceVersion: '76877' [e2e-llm-inference-service] uid: 69957f70-e57d-42af-9d11-cdf74ac4fced [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-model-pvc-router-manage-2577e794-inference--ip-950f33a3.e2e-test-llm-inference-service-7c3633d1.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-pvc-router-manage-2577e794-kserve-workload-svc.e2e-test-llm-inference-service-7c3633d1.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:25:23Z' [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-pvc-router-manage-2577e794 [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":"04319dde-a31e-4f4d-ba0d-8edf6f47ee97"}: {} [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: '2026-07-28T18:25:23Z' [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-kserve-workload-svc [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-7c3633d1 [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-pvc-router-manage-2577e794 [e2e-llm-inference-service] uid: 04319dde-a31e-4f4d-ba0d-8edf6f47ee97 [e2e-llm-inference-service] resourceVersion: '76204' [e2e-llm-inference-service] uid: 4a9180bd-71f5-499d-a671-e4964e2d3e15 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-model-pvc-router-manage-2577e794-kserve-workload-svc.e2e-test-llm-inference-service-7c3633d1.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-pvc-router-manage-2577e794-kserve-workload-svc.e2e-test-llm-inference-service-7c3633d1.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 apiVersion: networking.istio.io/v1beta1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:25:23Z' [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-pvc-router-manage-2577e794 [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":"04319dde-a31e-4f4d-ba0d-8edf6f47ee97"}: {} [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: '2026-07-28T18:25:23Z' [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-kserve-scheduler [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-7c3633d1 [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-pvc-router-manage-2577e794 [e2e-llm-inference-service] uid: 04319dde-a31e-4f4d-ba0d-8edf6f47ee97 [e2e-llm-inference-service] resourceVersion: '76189' [e2e-llm-inference-service] uid: 5454aa04-8498-4997-9187-a5b3d041df5b [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-model-pvc-router-manage-2577e794-epp-service.e2e-test-llm-inference-service-7c3633d1.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-pvc-router-manage-2577e794-epp-service.e2e-test-llm-inference-service-7c3633d1.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 apiVersion: networking.istio.io/v1beta1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:26:05Z' [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-pvc-router-manage-2577e794 [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":"04319dde-a31e-4f4d-ba0d-8edf6f47ee97"}: {} [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: '2026-07-28T18:26:05Z' [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-kserve-shadow-svc [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-7c3633d1 [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-pvc-router-manage-2577e794 [e2e-llm-inference-service] uid: 04319dde-a31e-4f4d-ba0d-8edf6f47ee97 [e2e-llm-inference-service] resourceVersion: '76877' [e2e-llm-inference-service] uid: 69957f70-e57d-42af-9d11-cdf74ac4fced [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-model-pvc-router-manage-2577e794-inference--ip-950f33a3.e2e-test-llm-inference-service-7c3633d1.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-pvc-router-manage-2577e794-kserve-workload-svc.e2e-test-llm-inference-service-7c3633d1.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 apiVersion: networking.istio.io/v1beta1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:25:23Z' [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-pvc-router-manage-2577e794 [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":"04319dde-a31e-4f4d-ba0d-8edf6f47ee97"}: {} [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: '2026-07-28T18:25:23Z' [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-kserve-workload-svc [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-7c3633d1 [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-pvc-router-manage-2577e794 [e2e-llm-inference-service] uid: 04319dde-a31e-4f4d-ba0d-8edf6f47ee97 [e2e-llm-inference-service] resourceVersion: '76204' [e2e-llm-inference-service] uid: 4a9180bd-71f5-499d-a671-e4964e2d3e15 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-model-pvc-router-manage-2577e794-kserve-workload-svc.e2e-test-llm-inference-service-7c3633d1.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-pvc-router-manage-2577e794-kserve-workload-svc.e2e-test-llm-inference-service-7c3633d1.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 apiVersion: networking.istio.io/v1alpha3 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:25:23Z' [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-pvc-router-manage-2577e794 [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":"04319dde-a31e-4f4d-ba0d-8edf6f47ee97"}: {} [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: '2026-07-28T18:25:23Z' [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-kserve-scheduler [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-7c3633d1 [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-pvc-router-manage-2577e794 [e2e-llm-inference-service] uid: 04319dde-a31e-4f4d-ba0d-8edf6f47ee97 [e2e-llm-inference-service] resourceVersion: '76189' [e2e-llm-inference-service] uid: 5454aa04-8498-4997-9187-a5b3d041df5b [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-model-pvc-router-manage-2577e794-epp-service.e2e-test-llm-inference-service-7c3633d1.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-pvc-router-manage-2577e794-epp-service.e2e-test-llm-inference-service-7c3633d1.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 apiVersion: networking.istio.io/v1alpha3 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:26:05Z' [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-pvc-router-manage-2577e794 [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":"04319dde-a31e-4f4d-ba0d-8edf6f47ee97"}: {} [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: '2026-07-28T18:26:05Z' [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-kserve-shadow-svc [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-7c3633d1 [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-pvc-router-manage-2577e794 [e2e-llm-inference-service] uid: 04319dde-a31e-4f4d-ba0d-8edf6f47ee97 [e2e-llm-inference-service] resourceVersion: '76877' [e2e-llm-inference-service] uid: 69957f70-e57d-42af-9d11-cdf74ac4fced [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-model-pvc-router-manage-2577e794-inference--ip-950f33a3.e2e-test-llm-inference-service-7c3633d1.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-pvc-router-manage-2577e794-kserve-workload-svc.e2e-test-llm-inference-service-7c3633d1.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 apiVersion: networking.istio.io/v1alpha3 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:25:23Z' [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-pvc-router-manage-2577e794 [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":"04319dde-a31e-4f4d-ba0d-8edf6f47ee97"}: {} [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: '2026-07-28T18:25:23Z' [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-kserve-workload-svc [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-7c3633d1 [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-pvc-router-manage-2577e794 [e2e-llm-inference-service] uid: 04319dde-a31e-4f4d-ba0d-8edf6f47ee97 [e2e-llm-inference-service] resourceVersion: '76204' [e2e-llm-inference-service] uid: 4a9180bd-71f5-499d-a671-e4964e2d3e15 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-model-pvc-router-manage-2577e794-kserve-workload-svc.e2e-test-llm-inference-service-7c3633d1.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-pvc-router-manage-2577e794-kserve-workload-svc.e2e-test-llm-inference-service-7c3633d1.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 apiVersion: inference.networking.x-k8s.io/v1alpha2 [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:25:22Z' [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-pvc-router-manage-2577e794 [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":"04319dde-a31e-4f4d-ba0d-8edf6f47ee97"}: {} [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: '2026-07-28T18:25:22Z' [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-inference-pool [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-7c3633d1 [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-pvc-router-manage-2577e794 [e2e-llm-inference-service] uid: 04319dde-a31e-4f4d-ba0d-8edf6f47ee97 [e2e-llm-inference-service] resourceVersion: '76172' [e2e-llm-inference-service] uid: 266fde35-d760-4ca8-8b94-cbf74e69ed8a [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-pvc-router-manage-2577e794-epp-service [e2e-llm-inference-service] portNumber: 9002 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-pvc-router-manage-2577e794 [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0-1 [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-7c3633d1 [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:40:10Z' [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-pvc-router-manage-2577e794 [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-pvc-router-manage-2577e794-kserve-mn-0-74696b7c6f [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/group-index: '0' [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/group-key: ae449cef3b581b6dbab6ee0440d253929da5cb58 [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/name: llmisvc-model-pvc-router-manage-2577e794-kserve-mn [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/template-revision-hash: 7bc46f896d [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/worker-index: '1' [e2e-llm-inference-service] statefulset.kubernetes.io/pod-name: llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0-1 [e2e-llm-inference-service] timestamp: '2026-07-28T18:39:55Z' [e2e-llm-inference-service] window: 18.464s [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] usage: [e2e-llm-inference-service] cpu: 3904246n [e2e-llm-inference-service] memory: 2413096Ki [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:diagnostic.py:264 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:265 metadata: [e2e-llm-inference-service] name: llmisvc1dc4269d1ada5f2d28562215d180c57f-kserve-router-schesg74z [e2e-llm-inference-service] namespace: e2e-test-llm-inference-service-7c3633d1 [e2e-llm-inference-service] creationTimestamp: '2026-07-28T18:40:10Z' [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-pvc-router-manage-2577e794 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 66dcb4d65d [e2e-llm-inference-service] timestamp: '2026-07-28T18:39:50Z' [e2e-llm-inference-service] window: 15.89s [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] usage: [e2e-llm-inference-service] cpu: 572246n [e2e-llm-inference-service] memory: 25112Ki [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] [2026-07-28T18:40:10.708667] end - ❌ 901.826s: Missing true conditions: {'WorkloadsReady', 'Ready'}, expected {'WorkloadsReady', 'RouterReady', 'Ready'}, got [{'lastTransitionTime': '2026-07-28T18:26:05Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-28T18:26:05Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T18:25:24Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T18:26:05Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T18:26:05Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T18:26:05Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:25:24Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'WorkerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:25:24Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] ---------------------------- Captured log teardown ----------------------------- [e2e-llm-inference-service] INFO e2e.llmisvc.conftest:conftest.py:168 Skipping deletion of namespace e2e-test-llm-inference-service-7c3633d1 (SKIP_DELETION_ON_FAILURE) [e2e-llm-inference-service] _ test_llm_autoscaling_keda_lws[router-managed-workload-llmd-simulator-lws-prometheus-scrape-scaling-keda] _ [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-llmd-simulator-lws', 'prometheus-scrape', 'scaling-keda'], prompt='KSe... {'name': 'scaling-keda-autoscale-keda-lws-1337f511'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m') [e2e-llm-inference-service] [e2e-llm-inference-service] @pytest.mark.autoscaling_keda [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-llmd-simulator-lws", [e2e-llm-inference-service] "prometheus-scrape", [e2e-llm-inference-service] "scaling-keda", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="autoscale-keda-lws", [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.llmd_simulator, [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_autoscaling_keda_lws(test_case: TestCase): [e2e-llm-inference-service] """KEDA + LWS: ScaledObject exists with WVA annotations; pods scale under load.""" [e2e-llm-inference-service] inject_k8s_proxy() [e2e-llm-inference-service] kserve_client = _new_kserve_client() [e2e-llm-inference-service] service_name = test_case.llm_service.metadata.name [e2e-llm-inference-service] ns = test_case.namespace [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] > _create_and_wait(kserve_client, test_case) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_autoscaling_wva.py:728: [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-lws', 'prometheus-scrape', 'scaling-keda'], prompt='KSe... {'name': 'scaling-keda-autoscale-keda-lws-1337f511'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m') [e2e-llm-inference-service] [e2e-llm-inference-service] def _create_and_wait(kserve_client, test_case): [e2e-llm-inference-service] """Create LLMISVC and wait for it to be ready.""" [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_autoscaling_wva.py:482: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] args = (, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kin...e-ked-231d315d'}, [e2e-llm-inference-service] {'name': 'scaling-keda-autoscale-keda-lws-1337f511'}]}, [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 = '2026-07-28T18:37:09.139391', start_time = 1785263829.1397095 [e2e-llm-inference-service] duration = 900.7113471031189, timestamp_end = '2026-07-28T18:52:09.851059' [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....toscale-ked-231d315d'}, [e2e-llm-inference-service] {'name': 'scaling-keda-autoscale-keda-lws-1337f511'}]}, [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] all_condition_types = 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] ctype = condition.get("type") [e2e-llm-inference-service] all_condition_types.add(ctype) [e2e-llm-inference-service] if condition.get("status") == "True": [e2e-llm-inference-service] got_true_conditions.add(ctype) [e2e-llm-inference-service] [e2e-llm-inference-service] # When TokenizerReady is present, it must also be True [e2e-llm-inference-service] if "TokenizerReady" in all_condition_types: [e2e-llm-inference-service] expected_true_conditions.add("TokenizerReady") [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:1376: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] assertion_fn = .assert_llm_isvc_ready at 0x7fa142b80ea0> [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:1387: [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] all_condition_types = 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] ctype = condition.get("type") [e2e-llm-inference-service] all_condition_types.add(ctype) [e2e-llm-inference-service] if condition.get("status") == "True": [e2e-llm-inference-service] got_true_conditions.add(ctype) [e2e-llm-inference-service] [e2e-llm-inference-service] # When TokenizerReady is present, it must also be True [e2e-llm-inference-service] if "TokenizerReady" in all_condition_types: [e2e-llm-inference-service] expected_true_conditions.add("TokenizerReady") [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 {'RouterReady', 'Ready', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-28T18:39:27Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-28T18:39:27Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T18:37:50Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T18:39:27Z', 'message': 'failed to ensure HPA is correctly created for ScaledObject: error parsing prometheus metadata: error parsing prometheus metadata: bearer token= is required when bearer auth is enabled', 'reason': 'ScaledObjectCheckFailed', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T18:39:27Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T18:38:34Z', 'message': 'failed to ensure HPA is correctly created for ScaledObject: error parsing prometheus metadata: error parsing prometheus metadata: bearer token= is required when bearer auth is enabled', 'reason': 'ScaledObjectCheckFailed', 'severity': 'Info', 'status': 'False', 'type': 'ScalingReady'}, {'lastTransitionTime': '2026-07-28T18:38:34Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:38:34Z', 'severity': 'Info', 'status': 'True', 'type': 'WorkerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:38:34Z', 'message': 'failed to ensure HPA is correctly created for ScaledObject: error parsing prometheus metadata: error parsing prometheus metadata: bearer token= is required when bearer auth is enabled', 'reason': 'ScaledObjectCheckFailed', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:1371: AssertionError [e2e-llm-inference-service] ------------------------------ Captured log setup ------------------------------ [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1769 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.namespace:namespace.py:82 Created test namespace e2e-test-llm-autoscaling-keda-lws-e541a132 [e2e-llm-inference-service] INFO e2e.llmisvc.namespace:namespace.py:131 Copied secret seaweedfs-s3-creds from kserve-ci-e2e-test to e2e-test-llm-autoscaling-keda-lws-e541a132 [e2e-llm-inference-service] INFO e2e.llmisvc.namespace:namespace.py:131 Copied secret storage-config from kserve-ci-e2e-test to e2e-test-llm-autoscaling-keda-lws-e541a132 [e2e-llm-inference-service] INFO e2e.llmisvc.namespace:namespace.py:178 Patched default SA in e2e-test-llm-autoscaling-keda-lws-e541a132 with secret seaweedfs-s3-creds [e2e-llm-inference-service] INFO e2e.llmisvc.namespace:namespace.py:162 ConfigMap odh-kserve-custom-ca-bundle already exists in e2e-test-llm-autoscaling-keda-lws-e541a132 [e2e-llm-inference-service] INFO e2e.llmisvc.namespace:namespace.py:159 Copied ConfigMap odh-trusted-ca-bundle from kserve-ci-e2e-test to e2e-test-llm-autoscaling-keda-lws-e541a132 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1769 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1718 Checking LLMInferenceServiceConfig router-managed-autoscale-keda-l-78828c4a in namespace e2e-test-llm-autoscaling-keda-lws-e541a132 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1744 Resource not found, creating LLMInferenceServiceConfig router-managed-autoscale-keda-l-78828c4a [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1754 ✓ Successfully created LLMInferenceServiceConfig router-managed-autoscale-keda-l-78828c4a [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1718 Checking LLMInferenceServiceConfig workload-llmd-simulator-lws-aut-1696d0b7 in namespace e2e-test-llm-autoscaling-keda-lws-e541a132 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1744 Resource not found, creating LLMInferenceServiceConfig workload-llmd-simulator-lws-aut-1696d0b7 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1754 ✓ Successfully created LLMInferenceServiceConfig workload-llmd-simulator-lws-aut-1696d0b7 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1718 Checking LLMInferenceServiceConfig prometheus-scrape-autoscale-ked-231d315d in namespace e2e-test-llm-autoscaling-keda-lws-e541a132 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1744 Resource not found, creating LLMInferenceServiceConfig prometheus-scrape-autoscale-ked-231d315d [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1754 ✓ Successfully created LLMInferenceServiceConfig prometheus-scrape-autoscale-ked-231d315d [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1718 Checking LLMInferenceServiceConfig scaling-keda-autoscale-keda-lws-1337f511 in namespace e2e-test-llm-autoscaling-keda-lws-e541a132 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1744 Resource not found, creating LLMInferenceServiceConfig scaling-keda-autoscale-keda-lws-1337f511 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1754 ✓ Successfully created LLMInferenceServiceConfig scaling-keda-autoscale-keda-lws-1337f511 [e2e-llm-inference-service] ------------------------------ Captured log call ------------------------------- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [test_llm_autoscaling_keda_lws] [2026-07-28T18:37:08.771346] start - args=(), kwargs={'test_case': TestCase(base_refs=['router-managed', 'workload-llmd-simulator-lws', 'prometheus-scrape', 'scaling-keda'], prompt='KServe is a', service_name='autoscale-keda-lws', 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, namespace='e2e-test-llm-autoscaling-keda-lws-e541a132', 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': 'autoscale-keda-lws', [e2e-llm-inference-service] 'namespace': 'e2e-test-llm-autoscaling-keda-lws-e541a132', [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-autoscale-keda-l-78828c4a'}, [e2e-llm-inference-service] {'name': 'workload-llmd-simulator-lws-aut-1696d0b7'}, [e2e-llm-inference-service] {'name': 'prometheus-scrape-autoscale-ked-231d315d'}, [e2e-llm-inference-service] {'name': 'scaling-keda-autoscale-keda-lws-1337f511'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m')} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1769 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [create_llmisvc] [2026-07-28T18:37:08.783685] 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': 'autoscale-keda-lws', [e2e-llm-inference-service] 'namespace': 'e2e-test-llm-autoscaling-keda-lws-e541a132', [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-autoscale-keda-l-78828c4a'}, [e2e-llm-inference-service] {'name': 'workload-llmd-simulator-lws-aut-1696d0b7'}, [e2e-llm-inference-service] {'name': 'prometheus-scrape-autoscale-ked-231d315d'}, [e2e-llm-inference-service] {'name': 'scaling-keda-autoscale-keda-lws-1337f511'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [create_llmisvc] [2026-07-28T18:37:09.139171] end - ✅ in 0.355s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [wait_for_llm_isvc_ready] [2026-07-28T18:37:09.139391] 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': 'autoscale-keda-lws', [e2e-llm-inference-service] 'namespace': 'e2e-test-llm-autoscaling-keda-lws-e541a132', [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-autoscale-keda-l-78828c4a'}, [e2e-llm-inference-service] {'name': 'workload-llmd-simulator-lws-aut-1696d0b7'}, [e2e-llm-inference-service] {'name': 'prometheus-scrape-autoscale-ked-231d315d'}, [e2e-llm-inference-service] {'name': 'scaling-keda-autoscale-keda-lws-1337f511'}]}, [e2e-llm-inference-service] 'status': None}, 900), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1394 Waiting: No conditions found in status [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1394 Waiting: Missing true conditions: {'RouterReady', 'Ready', 'WorkloadsReady'}, expected {'RouterReady', 'Ready', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-28T18:37:50Z', 'message': 'The following HTTPRoutes are not ready: [e2e-test-llm-autoscaling-keda-lws-e541a132/autoscale-keda-lws-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': '2026-07-28T18:37:50Z', 'message': 'Inference Pool e2e-test-llm-autoscaling-keda-lws-e541a132/autoscale-keda-lws-inference-pool exists but no Gateway controller has accepted it yet', 'reason': 'WaitingForGateway', 'severity': 'Info', 'status': 'False', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T18:37:50Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T18:37:50Z', 'message': 'The following HTTPRoutes are not ready: [e2e-test-llm-autoscaling-keda-lws-e541a132/autoscale-keda-lws-kserve-route: "False" (reason "InvalidKind", message "referencing unsupported backendRef: group \\"inference.networking.x-k8s.io\\" kind \\"InferencePool\\"")]', 'reason': 'HTTPRoutesNotReady', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T18:37:50Z', 'message': 'The following HTTPRoutes are not ready: [e2e-test-llm-autoscaling-keda-lws-e541a132/autoscale-keda-lws-kserve-route: "False" (reason "InvalidKind", message "referencing unsupported backendRef: group \\"inference.networking.x-k8s.io\\" kind \\"InferencePool\\"")]', 'reason': 'HTTPRoutesNotReady', 'status': 'False', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T18:37:50Z', 'message': 'ScaledObject conditions not yet available', 'reason': 'ScaledObjectProgressing', 'severity': 'Info', 'status': 'False', 'type': 'ScalingReady'}, {'lastTransitionTime': '2026-07-28T18:37:50Z', 'message': 'Deployment rollout in progress', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:37:50Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'WorkerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:37:50Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1394 Waiting: Missing true conditions: {'RouterReady', 'Ready', 'WorkloadsReady'}, expected {'RouterReady', 'Ready', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-28T18:38:34Z', 'message': 'The following HTTPRoutes are not ready: [e2e-test-llm-autoscaling-keda-lws-e541a132/autoscale-keda-lws-kserve-route: "True" (reason "Accepted", message "Route was valid")]', 'reason': 'HTTPRoutesNotReady', 'severity': 'Info', 'status': 'False', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-28T18:37:50Z', 'message': 'Inference Pool e2e-test-llm-autoscaling-keda-lws-e541a132/autoscale-keda-lws-inference-pool exists but no Gateway controller has accepted it yet', 'reason': 'WaitingForGateway', 'severity': 'Info', 'status': 'False', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T18:37:50Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T18:38:34Z', 'message': 'The following HTTPRoutes are not ready: [e2e-test-llm-autoscaling-keda-lws-e541a132/autoscale-keda-lws-kserve-route: "True" (reason "Accepted", message "Route was valid")]', 'reason': 'HTTPRoutesNotReady', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T18:38:34Z', 'message': 'The following HTTPRoutes are not ready: [e2e-test-llm-autoscaling-keda-lws-e541a132/autoscale-keda-lws-kserve-route: "True" (reason "Accepted", message "Route was valid")]', 'reason': 'HTTPRoutesNotReady', 'status': 'False', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T18:38:34Z', 'message': 'failed to ensure HPA is correctly created for ScaledObject: error parsing prometheus metadata: error parsing prometheus metadata: bearer token= is required when bearer auth is enabled', 'reason': 'ScaledObjectCheckFailed', 'severity': 'Info', 'status': 'False', 'type': 'ScalingReady'}, {'lastTransitionTime': '2026-07-28T18:38:34Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:38:34Z', 'severity': 'Info', 'status': 'True', 'type': 'WorkerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:38:34Z', 'message': 'failed to ensure HPA is correctly created for ScaledObject: error parsing prometheus metadata: error parsing prometheus metadata: bearer token= is required when bearer auth is enabled', 'reason': 'ScaledObjectCheckFailed', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1394 Waiting: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'RouterReady', 'Ready', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-28T18:39:27Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-28T18:39:27Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T18:37:50Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T18:39:27Z', 'message': 'failed to ensure HPA is correctly created for ScaledObject: error parsing prometheus metadata: error parsing prometheus metadata: bearer token= is required when bearer auth is enabled', 'reason': 'ScaledObjectCheckFailed', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T18:39:27Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T18:38:34Z', 'message': 'failed to ensure HPA is correctly created for ScaledObject: error parsing prometheus metadata: error parsing prometheus metadata: bearer token= is required when bearer auth is enabled', 'reason': 'ScaledObjectCheckFailed', 'severity': 'Info', 'status': 'False', 'type': 'ScalingReady'}, {'lastTransitionTime': '2026-07-28T18:38:34Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:38:34Z', 'severity': 'Info', 'status': 'True', 'type': 'WorkerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:38:34Z', 'message': 'failed to ensure HPA is correctly created for ScaledObject: error parsing prometheus metadata: error parsing prometheus metadata: bearer token= is required when bearer auth is enabled', 'reason': 'ScaledObjectCheckFailed', 'status': 'False', 'type': 'WorkloadsReady'}] [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": "error", "kserve-ci-e2e-test/router-gateway-2-openshift-default": "error", "openshift-ingress/openshift-ai-inference-openshift-default": "1\t{\"running\":{\"startedAt\":\"2026-07-28T17:25:20Z\"}}"} resources={"httproutes": 0, "llminferenceservices": 0, "authpolicies": 0} [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": "error", "kserve-ci-e2e-test/router-gateway-2-openshift-default": "error", "openshift-ingress/openshift-ai-inference-openshift-default": "1\t{\"running\":{\"startedAt\":\"2026-07-28T17:25:20Z\"}}"} resources={"httproutes": 0, "llminferenceservices": 0, "authpolicies": 0} [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": "error", "kserve-ci-e2e-test/router-gateway-2-openshift-default": "error", "openshift-ingress/openshift-ai-inference-openshift-default": "1\t{\"running\":{\"startedAt\":\"2026-07-28T17:25:20Z\"}}"} resources={"httproutes": 0, "llminferenceservices": 0, "authpolicies": 0} [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:test_llm_inference_service.py:1391 Timed out waiting: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'RouterReady', 'Ready', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-28T18:39:27Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-28T18:39:27Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T18:37:50Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T18:39:27Z', 'message': 'failed to ensure HPA is correctly created for ScaledObject: error parsing prometheus metadata: error parsing prometheus metadata: bearer token= is required when bearer auth is enabled', 'reason': 'ScaledObjectCheckFailed', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T18:39:27Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T18:38:34Z', 'message': 'failed to ensure HPA is correctly created for ScaledObject: error parsing prometheus metadata: error parsing prometheus metadata: bearer token= is required when bearer auth is enabled', 'reason': 'ScaledObjectCheckFailed', 'severity': 'Info', 'status': 'False', 'type': 'ScalingReady'}, {'lastTransitionTime': '2026-07-28T18:38:34Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:38:34Z', 'severity': 'Info', 'status': 'True', 'type': 'WorkerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:38:34Z', 'message': 'failed to ensure HPA is correctly created for ScaledObject: error parsing prometheus metadata: error parsing prometheus metadata: bearer token= is required when bearer auth is enabled', 'reason': 'ScaledObjectCheckFailed', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:logging.py:48 [wait_for_llm_isvc_ready] [2026-07-28T18:52:09.851059] end - ❌ 900.711s: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'RouterReady', 'Ready', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-28T18:39:27Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-28T18:39:27Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T18:37:50Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T18:39:27Z', 'message': 'failed to ensure HPA is correctly created for ScaledObject: error parsing prometheus metadata: error parsing prometheus metadata: bearer token= is required when bearer auth is enabled', 'reason': 'ScaledObjectCheckFailed', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T18:39:27Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T18:38:34Z', 'message': 'failed to ensure HPA is correctly created for ScaledObject: error parsing prometheus metadata: error parsing prometheus metadata: bearer token= is required when bearer auth is enabled', 'reason': 'ScaledObjectCheckFailed', 'severity': 'Info', 'status': 'False', 'type': 'ScalingReady'}, {'lastTransitionTime': '2026-07-28T18:38:34Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:38:34Z', 'severity': 'Info', 'status': 'True', 'type': 'WorkerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:38:34Z', 'message': 'failed to ensure HPA is correctly created for ScaledObject: error parsing prometheus metadata: error parsing prometheus metadata: bearer token= is required when bearer auth is enabled', 'reason': 'ScaledObjectCheckFailed', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [delete_llmisvc] [2026-07-28T18:52:09.851171] 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': 'autoscale-keda-lws', [e2e-llm-inference-service] 'namespace': 'e2e-test-llm-autoscaling-keda-lws-e541a132', [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-autoscale-keda-l-78828c4a'}, [e2e-llm-inference-service] {'name': 'workload-llmd-simulator-lws-aut-1696d0b7'}, [e2e-llm-inference-service] {'name': 'prometheus-scrape-autoscale-ked-231d315d'}, [e2e-llm-inference-service] {'name': 'scaling-keda-autoscale-keda-lws-1337f511'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1394 Waiting: 3 pod(s) for autoscale-keda-lws still terminating: ['autoscale-keda-lws-kserve-mn-0', 'autoscale-keda-lws-kserve-mn-0-1', 'autoscale-keda-lws-kserve-router-scheduler-55c6bcf4c9-929n2'] [e2e-llm-inference-service] assert not ['autoscale-keda-lws-kserve-mn-0', 'autoscale-keda-lws-kserve-mn-0-1', 'autoscale-keda-lws-kserve-router-scheduler-55c6bcf4c9-929n2'] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1394 Waiting: 1 pod(s) for autoscale-keda-lws still terminating: ['autoscale-keda-lws-kserve-router-scheduler-55c6bcf4c9-929n2'] [e2e-llm-inference-service] assert not ['autoscale-keda-lws-kserve-router-scheduler-55c6bcf4c9-929n2'] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [delete_llmisvc] [2026-07-28T18:53:05.272544] end - ✅ in 55.421s [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:logging.py:48 [test_llm_autoscaling_keda_lws] [2026-07-28T18:53:05.272668] end - ❌ 956.501s: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'RouterReady', 'Ready', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-28T18:39:27Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-28T18:39:27Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-28T18:37:50Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-28T18:39:27Z', 'message': 'failed to ensure HPA is correctly created for ScaledObject: error parsing prometheus metadata: error parsing prometheus metadata: bearer token= is required when bearer auth is enabled', 'reason': 'ScaledObjectCheckFailed', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-28T18:39:27Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-28T18:38:34Z', 'message': 'failed to ensure HPA is correctly created for ScaledObject: error parsing prometheus metadata: error parsing prometheus metadata: bearer token= is required when bearer auth is enabled', 'reason': 'ScaledObjectCheckFailed', 'severity': 'Info', 'status': 'False', 'type': 'ScalingReady'}, {'lastTransitionTime': '2026-07-28T18:38:34Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:38:34Z', 'severity': 'Info', 'status': 'True', 'type': 'WorkerWorkloadReady'}, {'lastTransitionTime': '2026-07-28T18:38:34Z', 'message': 'failed to ensure HPA is correctly created for ScaledObject: error parsing prometheus metadata: error parsing prometheus metadata: bearer token= is required when bearer auth is enabled', 'reason': 'ScaledObjectCheckFailed', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] ---------------------------- Captured log teardown ----------------------------- [e2e-llm-inference-service] INFO e2e.llmisvc.conftest:conftest.py:168 Skipping deletion of namespace e2e-test-llm-autoscaling-keda-lws-e541a132 (SKIP_DELETION_ON_FAILURE) [e2e-llm-inference-service] ___ test_prestop_hook[router-managed-workload-single-cpu-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] self = [e2e-llm-inference-service] [e2e-llm-inference-service] def _new_conn(self) -> socket.socket: [e2e-llm-inference-service] """Establish a socket connection and set nodelay settings on it. [e2e-llm-inference-service] [e2e-llm-inference-service] :return: New socket connection. [e2e-llm-inference-service] """ [e2e-llm-inference-service] try: [e2e-llm-inference-service] > sock = connection.create_connection( [e2e-llm-inference-service] (self._dns_host, self.port), [e2e-llm-inference-service] self.timeout, [e2e-llm-inference-service] source_address=self.source_address, [e2e-llm-inference-service] socket_options=self.socket_options, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connection.py:204: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] address = ('acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com', 6443) [e2e-llm-inference-service] timeout = None, source_address = None, socket_options = [(6, 1, 1)] [e2e-llm-inference-service] [e2e-llm-inference-service] def create_connection( [e2e-llm-inference-service] address: tuple[str, int], [e2e-llm-inference-service] timeout: _TYPE_TIMEOUT = _DEFAULT_TIMEOUT, [e2e-llm-inference-service] source_address: tuple[str, int] | None = None, [e2e-llm-inference-service] socket_options: _TYPE_SOCKET_OPTIONS | None = None, [e2e-llm-inference-service] ) -> socket.socket: [e2e-llm-inference-service] """Connect to *address* and return the socket object. [e2e-llm-inference-service] [e2e-llm-inference-service] Convenience function. Connect to *address* (a 2-tuple ``(host, [e2e-llm-inference-service] port)``) and return the socket object. Passing the optional [e2e-llm-inference-service] *timeout* parameter will set the timeout on the socket instance [e2e-llm-inference-service] before attempting to connect. If no *timeout* is supplied, the [e2e-llm-inference-service] global default timeout setting returned by :func:`socket.getdefaulttimeout` [e2e-llm-inference-service] is used. If *source_address* is set it must be a tuple of (host, port) [e2e-llm-inference-service] for the socket to bind as a source address before making the connection. [e2e-llm-inference-service] An host of '' or port 0 tells the OS to use the default. [e2e-llm-inference-service] """ [e2e-llm-inference-service] [e2e-llm-inference-service] host, port = address [e2e-llm-inference-service] if host.startswith("["): [e2e-llm-inference-service] host = host.strip("[]") [e2e-llm-inference-service] err = None [e2e-llm-inference-service] [e2e-llm-inference-service] # Using the value from allowed_gai_family() in the context of getaddrinfo lets [e2e-llm-inference-service] # us select whether to work with IPv4 DNS records, IPv6 records, or both. [e2e-llm-inference-service] # The original create_connection function always returns all records. [e2e-llm-inference-service] family = allowed_gai_family() [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] host.encode("idna") [e2e-llm-inference-service] except UnicodeError: [e2e-llm-inference-service] raise LocationParseError(f"'{host}', label empty or too long") from None [e2e-llm-inference-service] [e2e-llm-inference-service] > for res in socket.getaddrinfo(host, port, family, socket.SOCK_STREAM): [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/util/connection.py:60: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] host = 'acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com' [e2e-llm-inference-service] port = 6443, family = [e2e-llm-inference-service] type = , proto = 0, flags = 0 [e2e-llm-inference-service] [e2e-llm-inference-service] def getaddrinfo(host, port, family=0, type=0, proto=0, flags=0): [e2e-llm-inference-service] """Resolve host and port into list of address info entries. [e2e-llm-inference-service] [e2e-llm-inference-service] Translate the host/port argument into a sequence of 5-tuples that contain [e2e-llm-inference-service] all the necessary arguments for creating a socket connected to that service. [e2e-llm-inference-service] host is a domain name, a string representation of an IPv4/v6 address or [e2e-llm-inference-service] None. port is a string service name such as 'http', a numeric port number or [e2e-llm-inference-service] None. By passing None as the value of host and port, you can pass NULL to [e2e-llm-inference-service] the underlying C API. [e2e-llm-inference-service] [e2e-llm-inference-service] The family, type and proto arguments can be optionally specified in order to [e2e-llm-inference-service] narrow the list of addresses returned. Passing zero as a value for each of [e2e-llm-inference-service] these arguments selects the full range of results. [e2e-llm-inference-service] """ [e2e-llm-inference-service] # We override this function since we want to translate the numeric family [e2e-llm-inference-service] # and socket type values to enum constants. [e2e-llm-inference-service] addrlist = [] [e2e-llm-inference-service] > for res in _socket.getaddrinfo(host, port, family, type, proto, flags): [e2e-llm-inference-service] E socket.gaierror: [Errno -2] Name or service not known [e2e-llm-inference-service] [e2e-llm-inference-service] /usr/lib64/python3.11/socket.py:974: gaierror [e2e-llm-inference-service] [e2e-llm-inference-service] The above exception was the direct cause of the following exception: [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] method = 'GET' [e2e-llm-inference-service] url = '/api/v1/namespaces/e2e-test-prestop-hook-22727e61/pods?labelSelector=app.kubernetes.io%2Fname%3Dprestop-hook-test%2Ckserve.io%2Fcomponent%3Dworkload' [e2e-llm-inference-service] body = None [e2e-llm-inference-service] headers = {'Accept': 'application/json', 'Content-Type': 'application/json', 'User-Agent': 'OpenAPI-Generator/32.0.1/python'} [e2e-llm-inference-service] retries = Retry(total=0, connect=None, read=None, redirect=None, status=None) [e2e-llm-inference-service] redirect = False, assert_same_host = False, timeout = None, pool_timeout = None [e2e-llm-inference-service] release_conn = True, chunked = False, body_pos = None, preload_content = True [e2e-llm-inference-service] decode_content = True, response_kw = {}, destination_scheme = None, conn = None [e2e-llm-inference-service] release_this_conn = True, http_tunnel_required = False, err = None [e2e-llm-inference-service] clean_exit = False [e2e-llm-inference-service] [e2e-llm-inference-service] def urlopen( # type: ignore[override] [e2e-llm-inference-service] self, [e2e-llm-inference-service] method: str, [e2e-llm-inference-service] url: str, [e2e-llm-inference-service] body: _TYPE_BODY | None = None, [e2e-llm-inference-service] headers: typing.Mapping[str, str] | None = None, [e2e-llm-inference-service] retries: Retry | bool | int | None = None, [e2e-llm-inference-service] redirect: bool = True, [e2e-llm-inference-service] assert_same_host: bool = True, [e2e-llm-inference-service] timeout: _TYPE_TIMEOUT = _DEFAULT_TIMEOUT, [e2e-llm-inference-service] pool_timeout: int | None = None, [e2e-llm-inference-service] release_conn: bool | None = None, [e2e-llm-inference-service] chunked: bool = False, [e2e-llm-inference-service] body_pos: _TYPE_BODY_POSITION | None = None, [e2e-llm-inference-service] preload_content: bool = True, [e2e-llm-inference-service] decode_content: bool = True, [e2e-llm-inference-service] **response_kw: typing.Any, [e2e-llm-inference-service] ) -> BaseHTTPResponse: [e2e-llm-inference-service] """ [e2e-llm-inference-service] Get a connection from the pool and perform an HTTP request. This is the [e2e-llm-inference-service] lowest level call for making a request, so you'll need to specify all [e2e-llm-inference-service] the raw details. [e2e-llm-inference-service] [e2e-llm-inference-service] .. note:: [e2e-llm-inference-service] [e2e-llm-inference-service] More commonly, it's appropriate to use a convenience method [e2e-llm-inference-service] such as :meth:`request`. [e2e-llm-inference-service] [e2e-llm-inference-service] .. note:: [e2e-llm-inference-service] [e2e-llm-inference-service] `release_conn` will only behave as expected if [e2e-llm-inference-service] `preload_content=False` because we want to make [e2e-llm-inference-service] `preload_content=False` the default behaviour someday soon without [e2e-llm-inference-service] breaking backwards compatibility. [e2e-llm-inference-service] [e2e-llm-inference-service] :param method: [e2e-llm-inference-service] HTTP request method (such as GET, POST, PUT, etc.) [e2e-llm-inference-service] [e2e-llm-inference-service] :param url: [e2e-llm-inference-service] The URL to perform the request on. [e2e-llm-inference-service] [e2e-llm-inference-service] :param body: [e2e-llm-inference-service] Data to send in the request body, either :class:`str`, :class:`bytes`, [e2e-llm-inference-service] an iterable of :class:`str`/:class:`bytes`, or a file-like object. [e2e-llm-inference-service] [e2e-llm-inference-service] :param headers: [e2e-llm-inference-service] Dictionary of custom headers to send, such as User-Agent, [e2e-llm-inference-service] If-None-Match, etc. If None, pool headers are used. If provided, [e2e-llm-inference-service] these headers completely replace any pool-specific headers. [e2e-llm-inference-service] [e2e-llm-inference-service] :param retries: [e2e-llm-inference-service] Configure the number of retries to allow before raising a [e2e-llm-inference-service] :class:`~urllib3.exceptions.MaxRetryError` exception. [e2e-llm-inference-service] [e2e-llm-inference-service] If ``None`` (default) will retry 3 times, see ``Retry.DEFAULT``. Pass a [e2e-llm-inference-service] :class:`~urllib3.util.retry.Retry` object for fine-grained control [e2e-llm-inference-service] over different types of retries. [e2e-llm-inference-service] Pass an integer number to retry connection errors that many times, [e2e-llm-inference-service] but no other types of errors. Pass zero to never retry. [e2e-llm-inference-service] [e2e-llm-inference-service] If ``False``, then retries are disabled and any exception is raised [e2e-llm-inference-service] immediately. Also, instead of raising a MaxRetryError on redirects, [e2e-llm-inference-service] the redirect response will be returned. [e2e-llm-inference-service] [e2e-llm-inference-service] :type retries: :class:`~urllib3.util.retry.Retry`, False, or an int. [e2e-llm-inference-service] [e2e-llm-inference-service] :param redirect: [e2e-llm-inference-service] If True, automatically handle redirects (status codes 301, 302, [e2e-llm-inference-service] 303, 307, 308). Each redirect counts as a retry. Disabling retries [e2e-llm-inference-service] will disable redirect, too. [e2e-llm-inference-service] [e2e-llm-inference-service] :param assert_same_host: [e2e-llm-inference-service] If ``True``, will make sure that the host of the pool requests is [e2e-llm-inference-service] consistent else will raise HostChangedError. When ``False``, you can [e2e-llm-inference-service] use the pool on an HTTP proxy and request foreign hosts. [e2e-llm-inference-service] [e2e-llm-inference-service] :param timeout: [e2e-llm-inference-service] If specified, overrides the default timeout for this one [e2e-llm-inference-service] request. It may be a float (in seconds) or an instance of [e2e-llm-inference-service] :class:`urllib3.util.Timeout`. [e2e-llm-inference-service] [e2e-llm-inference-service] :param pool_timeout: [e2e-llm-inference-service] If set and the pool is set to block=True, then this method will [e2e-llm-inference-service] block for ``pool_timeout`` seconds and raise EmptyPoolError if no [e2e-llm-inference-service] connection is available within the time period. [e2e-llm-inference-service] [e2e-llm-inference-service] :param bool preload_content: [e2e-llm-inference-service] If True, the response's body will be preloaded into memory. [e2e-llm-inference-service] [e2e-llm-inference-service] :param bool decode_content: [e2e-llm-inference-service] If True, will attempt to decode the body based on the [e2e-llm-inference-service] 'content-encoding' header. [e2e-llm-inference-service] [e2e-llm-inference-service] :param release_conn: [e2e-llm-inference-service] If False, then the urlopen call will not release the connection [e2e-llm-inference-service] back into the pool once a response is received (but will release if [e2e-llm-inference-service] you read the entire contents of the response such as when [e2e-llm-inference-service] `preload_content=True`). This is useful if you're not preloading [e2e-llm-inference-service] the response's content immediately. You will need to call [e2e-llm-inference-service] ``r.release_conn()`` on the response ``r`` to return the connection [e2e-llm-inference-service] back into the pool. If None, it takes the value of ``preload_content`` [e2e-llm-inference-service] which defaults to ``True``. [e2e-llm-inference-service] [e2e-llm-inference-service] :param bool chunked: [e2e-llm-inference-service] If True, urllib3 will send the body using chunked transfer [e2e-llm-inference-service] encoding. Otherwise, urllib3 will send the body using the standard [e2e-llm-inference-service] content-length form. Defaults to False. [e2e-llm-inference-service] [e2e-llm-inference-service] :param int body_pos: [e2e-llm-inference-service] Position to seek to in file-like body in the event of a retry or [e2e-llm-inference-service] redirect. Typically this won't need to be set because urllib3 will [e2e-llm-inference-service] auto-populate the value when needed. [e2e-llm-inference-service] """ [e2e-llm-inference-service] # Ensure that the URL we're connecting to is properly encoded [e2e-llm-inference-service] if url.startswith("/"): [e2e-llm-inference-service] # URLs starting with / are inherently schemeless. [e2e-llm-inference-service] url = to_str(_encode_target(url)) [e2e-llm-inference-service] destination_scheme = None [e2e-llm-inference-service] else: [e2e-llm-inference-service] parsed_url = parse_url(url) [e2e-llm-inference-service] destination_scheme = parsed_url.scheme [e2e-llm-inference-service] url = to_str(parsed_url.url) [e2e-llm-inference-service] [e2e-llm-inference-service] if headers is None: [e2e-llm-inference-service] headers = self.headers [e2e-llm-inference-service] [e2e-llm-inference-service] if not isinstance(retries, Retry): [e2e-llm-inference-service] retries = Retry.from_int(retries, redirect=redirect, default=self.retries) [e2e-llm-inference-service] [e2e-llm-inference-service] if release_conn is None: [e2e-llm-inference-service] release_conn = preload_content [e2e-llm-inference-service] [e2e-llm-inference-service] # Check host [e2e-llm-inference-service] if assert_same_host and not self.is_same_host(url): [e2e-llm-inference-service] raise HostChangedError(self, url, retries) [e2e-llm-inference-service] [e2e-llm-inference-service] conn = None [e2e-llm-inference-service] [e2e-llm-inference-service] # Track whether `conn` needs to be released before [e2e-llm-inference-service] # returning/raising/recursing. Update this variable if necessary, and [e2e-llm-inference-service] # leave `release_conn` constant throughout the function. That way, if [e2e-llm-inference-service] # the function recurses, the original value of `release_conn` will be [e2e-llm-inference-service] # passed down into the recursive call, and its value will be respected. [e2e-llm-inference-service] # [e2e-llm-inference-service] # See issue #651 [1] for details. [e2e-llm-inference-service] # [e2e-llm-inference-service] # [1] [e2e-llm-inference-service] release_this_conn = release_conn [e2e-llm-inference-service] [e2e-llm-inference-service] http_tunnel_required = connection_requires_http_tunnel( [e2e-llm-inference-service] self.proxy, self.proxy_config, destination_scheme [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] # Merge the proxy headers. Only done when not using HTTP CONNECT. We [e2e-llm-inference-service] # have to copy the headers dict so we can safely change it without those [e2e-llm-inference-service] # changes being reflected in anyone else's copy. [e2e-llm-inference-service] if not http_tunnel_required: [e2e-llm-inference-service] headers = headers.copy() # type: ignore[attr-defined] [e2e-llm-inference-service] headers.update(self.proxy_headers) # type: ignore[union-attr] [e2e-llm-inference-service] [e2e-llm-inference-service] # Must keep the exception bound to a separate variable or else Python 3 [e2e-llm-inference-service] # complains about UnboundLocalError. [e2e-llm-inference-service] err = None [e2e-llm-inference-service] [e2e-llm-inference-service] # Keep track of whether we cleanly exited the except block. This [e2e-llm-inference-service] # ensures we do proper cleanup in finally. [e2e-llm-inference-service] clean_exit = False [e2e-llm-inference-service] [e2e-llm-inference-service] # Rewind body position, if needed. Record current position [e2e-llm-inference-service] # for future rewinds in the event of a redirect/retry. [e2e-llm-inference-service] body_pos = set_file_position(body, body_pos) [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] # Request a connection from the queue. [e2e-llm-inference-service] timeout_obj = self._get_timeout(timeout) [e2e-llm-inference-service] conn = self._get_conn(timeout=pool_timeout) [e2e-llm-inference-service] [e2e-llm-inference-service] conn.timeout = timeout_obj.connect_timeout # type: ignore[assignment] [e2e-llm-inference-service] [e2e-llm-inference-service] # Is this a closed/new connection that requires CONNECT tunnelling? [e2e-llm-inference-service] if self.proxy is not None and http_tunnel_required and conn.is_closed: [e2e-llm-inference-service] try: [e2e-llm-inference-service] self._prepare_proxy(conn) [e2e-llm-inference-service] except (BaseSSLError, OSError, SocketTimeout) as e: [e2e-llm-inference-service] self._raise_timeout( [e2e-llm-inference-service] err=e, url=self.proxy.url, timeout_value=conn.timeout [e2e-llm-inference-service] ) [e2e-llm-inference-service] raise [e2e-llm-inference-service] [e2e-llm-inference-service] # If we're going to release the connection in ``finally:``, then [e2e-llm-inference-service] # the response doesn't need to know about the connection. Otherwise [e2e-llm-inference-service] # it will also try to release it and we'll have a double-release [e2e-llm-inference-service] # mess. [e2e-llm-inference-service] response_conn = conn if not release_conn else None [e2e-llm-inference-service] [e2e-llm-inference-service] # Make the request on the HTTPConnection object [e2e-llm-inference-service] > response = self._make_request( [e2e-llm-inference-service] conn, [e2e-llm-inference-service] method, [e2e-llm-inference-service] url, [e2e-llm-inference-service] timeout=timeout_obj, [e2e-llm-inference-service] body=body, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] chunked=chunked, [e2e-llm-inference-service] retries=retries, [e2e-llm-inference-service] response_conn=response_conn, [e2e-llm-inference-service] preload_content=preload_content, [e2e-llm-inference-service] decode_content=decode_content, [e2e-llm-inference-service] **response_kw, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:788: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] conn = [e2e-llm-inference-service] method = 'GET' [e2e-llm-inference-service] url = '/api/v1/namespaces/e2e-test-prestop-hook-22727e61/pods?labelSelector=app.kubernetes.io%2Fname%3Dprestop-hook-test%2Ckserve.io%2Fcomponent%3Dworkload' [e2e-llm-inference-service] body = None [e2e-llm-inference-service] headers = {'Accept': 'application/json', 'Content-Type': 'application/json', 'User-Agent': 'OpenAPI-Generator/32.0.1/python'} [e2e-llm-inference-service] retries = Retry(total=0, connect=None, read=None, redirect=None, status=None) [e2e-llm-inference-service] timeout = Timeout(connect=None, read=None, total=None), chunked = False [e2e-llm-inference-service] response_conn = None, preload_content = True, decode_content = True [e2e-llm-inference-service] enforce_content_length = True [e2e-llm-inference-service] [e2e-llm-inference-service] def _make_request( [e2e-llm-inference-service] self, [e2e-llm-inference-service] conn: BaseHTTPConnection, [e2e-llm-inference-service] method: str, [e2e-llm-inference-service] url: str, [e2e-llm-inference-service] body: _TYPE_BODY | None = None, [e2e-llm-inference-service] headers: typing.Mapping[str, str] | None = None, [e2e-llm-inference-service] retries: Retry | None = None, [e2e-llm-inference-service] timeout: _TYPE_TIMEOUT = _DEFAULT_TIMEOUT, [e2e-llm-inference-service] chunked: bool = False, [e2e-llm-inference-service] response_conn: BaseHTTPConnection | None = None, [e2e-llm-inference-service] preload_content: bool = True, [e2e-llm-inference-service] decode_content: bool = True, [e2e-llm-inference-service] enforce_content_length: bool = True, [e2e-llm-inference-service] ) -> BaseHTTPResponse: [e2e-llm-inference-service] """ [e2e-llm-inference-service] Perform a request on a given urllib connection object taken from our [e2e-llm-inference-service] pool. [e2e-llm-inference-service] [e2e-llm-inference-service] :param conn: [e2e-llm-inference-service] a connection from one of our connection pools [e2e-llm-inference-service] [e2e-llm-inference-service] :param method: [e2e-llm-inference-service] HTTP request method (such as GET, POST, PUT, etc.) [e2e-llm-inference-service] [e2e-llm-inference-service] :param url: [e2e-llm-inference-service] The URL to perform the request on. [e2e-llm-inference-service] [e2e-llm-inference-service] :param body: [e2e-llm-inference-service] Data to send in the request body, either :class:`str`, :class:`bytes`, [e2e-llm-inference-service] an iterable of :class:`str`/:class:`bytes`, or a file-like object. [e2e-llm-inference-service] [e2e-llm-inference-service] :param headers: [e2e-llm-inference-service] Dictionary of custom headers to send, such as User-Agent, [e2e-llm-inference-service] If-None-Match, etc. If None, pool headers are used. If provided, [e2e-llm-inference-service] these headers completely replace any pool-specific headers. [e2e-llm-inference-service] [e2e-llm-inference-service] :param retries: [e2e-llm-inference-service] Configure the number of retries to allow before raising a [e2e-llm-inference-service] :class:`~urllib3.exceptions.MaxRetryError` exception. [e2e-llm-inference-service] [e2e-llm-inference-service] Pass ``None`` to retry until you receive a response. Pass a [e2e-llm-inference-service] :class:`~urllib3.util.retry.Retry` object for fine-grained control [e2e-llm-inference-service] over different types of retries. [e2e-llm-inference-service] Pass an integer number to retry connection errors that many times, [e2e-llm-inference-service] but no other types of errors. Pass zero to never retry. [e2e-llm-inference-service] [e2e-llm-inference-service] If ``False``, then retries are disabled and any exception is raised [e2e-llm-inference-service] immediately. Also, instead of raising a MaxRetryError on redirects, [e2e-llm-inference-service] the redirect response will be returned. [e2e-llm-inference-service] [e2e-llm-inference-service] :type retries: :class:`~urllib3.util.retry.Retry`, False, or an int. [e2e-llm-inference-service] [e2e-llm-inference-service] :param timeout: [e2e-llm-inference-service] If specified, overrides the default timeout for this one [e2e-llm-inference-service] request. It may be a float (in seconds) or an instance of [e2e-llm-inference-service] :class:`urllib3.util.Timeout`. [e2e-llm-inference-service] [e2e-llm-inference-service] :param chunked: [e2e-llm-inference-service] If True, urllib3 will send the body using chunked transfer [e2e-llm-inference-service] encoding. Otherwise, urllib3 will send the body using the standard [e2e-llm-inference-service] content-length form. Defaults to False. [e2e-llm-inference-service] [e2e-llm-inference-service] :param response_conn: [e2e-llm-inference-service] Set this to ``None`` if you will handle releasing the connection or [e2e-llm-inference-service] set the connection to have the response release it. [e2e-llm-inference-service] [e2e-llm-inference-service] :param preload_content: [e2e-llm-inference-service] If True, the response's body will be preloaded during construction. [e2e-llm-inference-service] [e2e-llm-inference-service] :param decode_content: [e2e-llm-inference-service] If True, will attempt to decode the body based on the [e2e-llm-inference-service] 'content-encoding' header. [e2e-llm-inference-service] [e2e-llm-inference-service] :param enforce_content_length: [e2e-llm-inference-service] Enforce content length checking. Body returned by server must match [e2e-llm-inference-service] value of Content-Length header, if present. Otherwise, raise error. [e2e-llm-inference-service] """ [e2e-llm-inference-service] self.num_requests += 1 [e2e-llm-inference-service] [e2e-llm-inference-service] timeout_obj = self._get_timeout(timeout) [e2e-llm-inference-service] timeout_obj.start_connect() [e2e-llm-inference-service] conn.timeout = Timeout.resolve_default_timeout(timeout_obj.connect_timeout) [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] # Trigger any extra validation we need to do. [e2e-llm-inference-service] try: [e2e-llm-inference-service] self._validate_conn(conn) [e2e-llm-inference-service] except (SocketTimeout, BaseSSLError) as e: [e2e-llm-inference-service] self._raise_timeout(err=e, url=url, timeout_value=conn.timeout) [e2e-llm-inference-service] raise [e2e-llm-inference-service] [e2e-llm-inference-service] # _validate_conn() starts the connection to an HTTPS proxy [e2e-llm-inference-service] # so we need to wrap errors with 'ProxyError' here too. [e2e-llm-inference-service] except ( [e2e-llm-inference-service] OSError, [e2e-llm-inference-service] NewConnectionError, [e2e-llm-inference-service] TimeoutError, [e2e-llm-inference-service] BaseSSLError, [e2e-llm-inference-service] CertificateError, [e2e-llm-inference-service] SSLError, [e2e-llm-inference-service] ) as e: [e2e-llm-inference-service] new_e: Exception = e [e2e-llm-inference-service] if isinstance(e, (BaseSSLError, CertificateError)): [e2e-llm-inference-service] new_e = SSLError(e) [e2e-llm-inference-service] # If the connection didn't successfully connect to it's proxy [e2e-llm-inference-service] # then there [e2e-llm-inference-service] if isinstance( [e2e-llm-inference-service] new_e, (OSError, NewConnectionError, TimeoutError, SSLError) [e2e-llm-inference-service] ) and (conn and conn.proxy and not conn.has_connected_to_proxy): [e2e-llm-inference-service] new_e = _wrap_proxy_error(new_e, conn.proxy.scheme) [e2e-llm-inference-service] > raise new_e [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:488: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] conn = [e2e-llm-inference-service] method = 'GET' [e2e-llm-inference-service] url = '/api/v1/namespaces/e2e-test-prestop-hook-22727e61/pods?labelSelector=app.kubernetes.io%2Fname%3Dprestop-hook-test%2Ckserve.io%2Fcomponent%3Dworkload' [e2e-llm-inference-service] body = None [e2e-llm-inference-service] headers = {'Accept': 'application/json', 'Content-Type': 'application/json', 'User-Agent': 'OpenAPI-Generator/32.0.1/python'} [e2e-llm-inference-service] retries = Retry(total=0, connect=None, read=None, redirect=None, status=None) [e2e-llm-inference-service] timeout = Timeout(connect=None, read=None, total=None), chunked = False [e2e-llm-inference-service] response_conn = None, preload_content = True, decode_content = True [e2e-llm-inference-service] enforce_content_length = True [e2e-llm-inference-service] [e2e-llm-inference-service] def _make_request( [e2e-llm-inference-service] self, [e2e-llm-inference-service] conn: BaseHTTPConnection, [e2e-llm-inference-service] method: str, [e2e-llm-inference-service] url: str, [e2e-llm-inference-service] body: _TYPE_BODY | None = None, [e2e-llm-inference-service] headers: typing.Mapping[str, str] | None = None, [e2e-llm-inference-service] retries: Retry | None = None, [e2e-llm-inference-service] timeout: _TYPE_TIMEOUT = _DEFAULT_TIMEOUT, [e2e-llm-inference-service] chunked: bool = False, [e2e-llm-inference-service] response_conn: BaseHTTPConnection | None = None, [e2e-llm-inference-service] preload_content: bool = True, [e2e-llm-inference-service] decode_content: bool = True, [e2e-llm-inference-service] enforce_content_length: bool = True, [e2e-llm-inference-service] ) -> BaseHTTPResponse: [e2e-llm-inference-service] """ [e2e-llm-inference-service] Perform a request on a given urllib connection object taken from our [e2e-llm-inference-service] pool. [e2e-llm-inference-service] [e2e-llm-inference-service] :param conn: [e2e-llm-inference-service] a connection from one of our connection pools [e2e-llm-inference-service] [e2e-llm-inference-service] :param method: [e2e-llm-inference-service] HTTP request method (such as GET, POST, PUT, etc.) [e2e-llm-inference-service] [e2e-llm-inference-service] :param url: [e2e-llm-inference-service] The URL to perform the request on. [e2e-llm-inference-service] [e2e-llm-inference-service] :param body: [e2e-llm-inference-service] Data to send in the request body, either :class:`str`, :class:`bytes`, [e2e-llm-inference-service] an iterable of :class:`str`/:class:`bytes`, or a file-like object. [e2e-llm-inference-service] [e2e-llm-inference-service] :param headers: [e2e-llm-inference-service] Dictionary of custom headers to send, such as User-Agent, [e2e-llm-inference-service] If-None-Match, etc. If None, pool headers are used. If provided, [e2e-llm-inference-service] these headers completely replace any pool-specific headers. [e2e-llm-inference-service] [e2e-llm-inference-service] :param retries: [e2e-llm-inference-service] Configure the number of retries to allow before raising a [e2e-llm-inference-service] :class:`~urllib3.exceptions.MaxRetryError` exception. [e2e-llm-inference-service] [e2e-llm-inference-service] Pass ``None`` to retry until you receive a response. Pass a [e2e-llm-inference-service] :class:`~urllib3.util.retry.Retry` object for fine-grained control [e2e-llm-inference-service] over different types of retries. [e2e-llm-inference-service] Pass an integer number to retry connection errors that many times, [e2e-llm-inference-service] but no other types of errors. Pass zero to never retry. [e2e-llm-inference-service] [e2e-llm-inference-service] If ``False``, then retries are disabled and any exception is raised [e2e-llm-inference-service] immediately. Also, instead of raising a MaxRetryError on redirects, [e2e-llm-inference-service] the redirect response will be returned. [e2e-llm-inference-service] [e2e-llm-inference-service] :type retries: :class:`~urllib3.util.retry.Retry`, False, or an int. [e2e-llm-inference-service] [e2e-llm-inference-service] :param timeout: [e2e-llm-inference-service] If specified, overrides the default timeout for this one [e2e-llm-inference-service] request. It may be a float (in seconds) or an instance of [e2e-llm-inference-service] :class:`urllib3.util.Timeout`. [e2e-llm-inference-service] [e2e-llm-inference-service] :param chunked: [e2e-llm-inference-service] If True, urllib3 will send the body using chunked transfer [e2e-llm-inference-service] encoding. Otherwise, urllib3 will send the body using the standard [e2e-llm-inference-service] content-length form. Defaults to False. [e2e-llm-inference-service] [e2e-llm-inference-service] :param response_conn: [e2e-llm-inference-service] Set this to ``None`` if you will handle releasing the connection or [e2e-llm-inference-service] set the connection to have the response release it. [e2e-llm-inference-service] [e2e-llm-inference-service] :param preload_content: [e2e-llm-inference-service] If True, the response's body will be preloaded during construction. [e2e-llm-inference-service] [e2e-llm-inference-service] :param decode_content: [e2e-llm-inference-service] If True, will attempt to decode the body based on the [e2e-llm-inference-service] 'content-encoding' header. [e2e-llm-inference-service] [e2e-llm-inference-service] :param enforce_content_length: [e2e-llm-inference-service] Enforce content length checking. Body returned by server must match [e2e-llm-inference-service] value of Content-Length header, if present. Otherwise, raise error. [e2e-llm-inference-service] """ [e2e-llm-inference-service] self.num_requests += 1 [e2e-llm-inference-service] [e2e-llm-inference-service] timeout_obj = self._get_timeout(timeout) [e2e-llm-inference-service] timeout_obj.start_connect() [e2e-llm-inference-service] conn.timeout = Timeout.resolve_default_timeout(timeout_obj.connect_timeout) [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] # Trigger any extra validation we need to do. [e2e-llm-inference-service] try: [e2e-llm-inference-service] > self._validate_conn(conn) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:464: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] conn = [e2e-llm-inference-service] [e2e-llm-inference-service] def _validate_conn(self, conn: BaseHTTPConnection) -> None: [e2e-llm-inference-service] """ [e2e-llm-inference-service] Called right before a request is made, after the socket is created. [e2e-llm-inference-service] """ [e2e-llm-inference-service] super()._validate_conn(conn) [e2e-llm-inference-service] [e2e-llm-inference-service] # Force connect early to allow us to validate the connection. [e2e-llm-inference-service] if conn.is_closed: [e2e-llm-inference-service] > conn.connect() [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:1106: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] [e2e-llm-inference-service] def connect(self) -> None: [e2e-llm-inference-service] # Today we don't need to be doing this step before the /actual/ socket [e2e-llm-inference-service] # connection, however in the future we'll need to decide whether to [e2e-llm-inference-service] # create a new socket or re-use an existing "shared" socket as a part [e2e-llm-inference-service] # of the HTTP/2 handshake dance. [e2e-llm-inference-service] if self._tunnel_host is not None and self._tunnel_port is not None: [e2e-llm-inference-service] probe_http2_host = self._tunnel_host [e2e-llm-inference-service] probe_http2_port = self._tunnel_port [e2e-llm-inference-service] else: [e2e-llm-inference-service] probe_http2_host = self.host [e2e-llm-inference-service] probe_http2_port = self.port [e2e-llm-inference-service] [e2e-llm-inference-service] # Check if the target origin supports HTTP/2. [e2e-llm-inference-service] # If the value comes back as 'None' it means that the current thread [e2e-llm-inference-service] # is probing for HTTP/2 support. Otherwise, we're waiting for another [e2e-llm-inference-service] # probe to complete, or we get a value right away. [e2e-llm-inference-service] target_supports_http2: bool | None [e2e-llm-inference-service] if "h2" in ssl_.ALPN_PROTOCOLS: [e2e-llm-inference-service] target_supports_http2 = http2_probe.acquire_and_get( [e2e-llm-inference-service] host=probe_http2_host, port=probe_http2_port [e2e-llm-inference-service] ) [e2e-llm-inference-service] else: [e2e-llm-inference-service] # If HTTP/2 isn't going to be offered it doesn't matter if [e2e-llm-inference-service] # the target supports HTTP/2. Don't want to make a probe. [e2e-llm-inference-service] target_supports_http2 = False [e2e-llm-inference-service] [e2e-llm-inference-service] if self._connect_callback is not None: [e2e-llm-inference-service] self._connect_callback( [e2e-llm-inference-service] "before connect", [e2e-llm-inference-service] thread_id=threading.get_ident(), [e2e-llm-inference-service] target_supports_http2=target_supports_http2, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] sock: socket.socket | ssl.SSLSocket [e2e-llm-inference-service] > self.sock = sock = self._new_conn() [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connection.py:759: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] [e2e-llm-inference-service] def _new_conn(self) -> socket.socket: [e2e-llm-inference-service] """Establish a socket connection and set nodelay settings on it. [e2e-llm-inference-service] [e2e-llm-inference-service] :return: New socket connection. [e2e-llm-inference-service] """ [e2e-llm-inference-service] try: [e2e-llm-inference-service] sock = connection.create_connection( [e2e-llm-inference-service] (self._dns_host, self.port), [e2e-llm-inference-service] self.timeout, [e2e-llm-inference-service] source_address=self.source_address, [e2e-llm-inference-service] socket_options=self.socket_options, [e2e-llm-inference-service] ) [e2e-llm-inference-service] except socket.gaierror as e: [e2e-llm-inference-service] > raise NameResolutionError(self.host, self, e) from e [e2e-llm-inference-service] E urllib3.exceptions.NameResolutionError: HTTPSConnection(host='acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com', port=6443): Failed to resolve 'acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com' ([Errno -2] Name or service not known) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connection.py:211: NameResolutionError [e2e-llm-inference-service] [e2e-llm-inference-service] The above exception was the direct cause of the following exception: [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-prestop-hook-584a80fb'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m') [e2e-llm-inference-service] [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="prestop-hook-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] ], [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_prestop_hook(test_case: TestCase): [e2e-llm-inference-service] """Verify the preStop lifecycle hook delays pod termination by at least 15 seconds.""" [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] namespace = test_case.llm_service.metadata.namespace [e2e-llm-inference-service] test_failed = False [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] print(f"Creating LLMInferenceService {service_name}") [e2e-llm-inference-service] create_llmisvc(kserve_client, test_case.llm_service) [e2e-llm-inference-service] [e2e-llm-inference-service] > workload_pod_name = wait_for_workload_pod_running( [e2e-llm-inference-service] namespace, service_name, timeout_seconds=test_case.wait_timeout [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_prestop_hook.py:78: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] args = ('e2e-test-prestop-hook-22727e61', 'prestop-hook-test') [e2e-llm-inference-service] kwargs = {'timeout_seconds': 900}, func_name = 'wait_for_workload_pod_running' [e2e-llm-inference-service] timestamp_start = '2026-07-28T18:58:46.631041', start_time = 1785265126.6310866 [e2e-llm-inference-service] duration = 1274.2512633800507, timestamp_end = '2026-07-28T19:20:00.882354' [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] namespace = 'e2e-test-prestop-hook-22727e61', service_name = 'prestop-hook-test' [e2e-llm-inference-service] timeout_seconds = 900 [e2e-llm-inference-service] [e2e-llm-inference-service] @log_execution [e2e-llm-inference-service] def wait_for_workload_pod_running( [e2e-llm-inference-service] namespace: str, [e2e-llm-inference-service] service_name: str, [e2e-llm-inference-service] timeout_seconds: int = 900, [e2e-llm-inference-service] ) -> str: [e2e-llm-inference-service] """Wait for the main workload pod to reach Running state, return its name.""" [e2e-llm-inference-service] core_v1 = client.CoreV1Api() [e2e-llm-inference-service] label_selector = ( [e2e-llm-inference-service] f"app.kubernetes.io/name={service_name},kserve.io/component=workload" [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] def assert_pod_running() -> str: [e2e-llm-inference-service] pods = core_v1.list_namespaced_pod(namespace, label_selector=label_selector) [e2e-llm-inference-service] running = [ [e2e-llm-inference-service] p [e2e-llm-inference-service] for p in pods.items [e2e-llm-inference-service] if p.status.phase == "Running" [e2e-llm-inference-service] and all(cs.ready for cs in (p.status.container_statuses or [])) [e2e-llm-inference-service] ] [e2e-llm-inference-service] running_names = [p.metadata.name for p in running] [e2e-llm-inference-service] assert running_names, ( [e2e-llm-inference-service] f"No Running pods found for {label_selector} in {namespace}" [e2e-llm-inference-service] ) [e2e-llm-inference-service] return running_names[0] [e2e-llm-inference-service] [e2e-llm-inference-service] > return wait_for(assert_pod_running, timeout=timeout_seconds, interval=5.0) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_prestop_hook.py:151: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] assertion_fn = .assert_pod_running at 0x7f56d954c720> [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:1387: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] def assert_pod_running() -> str: [e2e-llm-inference-service] > pods = core_v1.list_namespaced_pod(namespace, label_selector=label_selector) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_prestop_hook.py:138: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] namespace = 'e2e-test-prestop-hook-22727e61' [e2e-llm-inference-service] kwargs = {'_return_http_data_only': True, 'label_selector': 'app.kubernetes.io/name=prestop-hook-test,kserve.io/component=workload'} [e2e-llm-inference-service] [e2e-llm-inference-service] def list_namespaced_pod(self, namespace, **kwargs): # noqa: E501 [e2e-llm-inference-service] """list_namespaced_pod # noqa: E501 [e2e-llm-inference-service] [e2e-llm-inference-service] list or watch objects of kind Pod # 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.list_namespaced_pod(namespace, 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 namespace: object name and auth scope, such as for teams and projects (required) [e2e-llm-inference-service] :param str pretty: If 'true', then the output is pretty printed. Defaults to 'false' unless the user-agent indicates a browser or command-line HTTP tool (curl and wget). [e2e-llm-inference-service] :param bool allow_watch_bookmarks: allowWatchBookmarks requests watch events with type \"BOOKMARK\". Servers that do not implement bookmarks may ignore this flag and bookmarks are sent at the server's discretion. Clients should not assume bookmarks are returned at any specific interval, nor may they assume the server will send any BOOKMARK event during a session. If this is not a watch, this field is ignored. [e2e-llm-inference-service] :param str _continue: The continue option should be set when retrieving more results from the server. Since this value is server defined, clients may only use the continue value from a previous query result with identical query parameters (except for the value of continue) and the server may reject a continue value it does not recognize. If the specified continue value is no longer valid whether due to expiration (generally five to fifteen minutes) or a configuration change on the server, the server will respond with a 410 ResourceExpired error together with a continue token. If the client needs a consistent list, it must restart their list without the continue field. Otherwise, the client may send another list request with the token received with the 410 error, the server will respond with a list starting from the next key, but from the latest snapshot, which is inconsistent from the previous list results - objects that are created, modified, or deleted after the first list request will be included in the response, as long as their keys are after the \"next key\". This field is not supported when watch is true. Clients may start a watch from the last resourceVersion value returned by the server and not miss any modifications. [e2e-llm-inference-service] :param str field_selector: A selector to restrict the list of returned objects by their fields. Defaults to everything. [e2e-llm-inference-service] :param str label_selector: A selector to restrict the list of returned objects by their labels. Defaults to everything. [e2e-llm-inference-service] :param int limit: limit is a maximum number of responses to return for a list call. If more items exist, the server will set the `continue` field on the list metadata to a value that can be used with the same initial query to retrieve the next set of results. Setting a limit may return fewer than the requested amount of items (up to zero items) in the event all requested objects are filtered out and clients should only use the presence of the continue field to determine whether more results are available. Servers may choose not to support the limit argument and will return all of the available results. If limit is specified and the continue field is empty, clients may assume that no more results are available. This field is not supported if watch is true. The server guarantees that the objects returned when using continue will be identical to issuing a single list call without a limit - that is, no objects created, modified, or deleted after the first request is issued will be included in any subsequent continued requests. This is sometimes referred to as a consistent snapshot, and ensures that a client that is using limit to receive smaller chunks of a very large result can ensure they see all possible objects. If objects are updated during a chunked list the version of the object that was present at the time the first list result was calculated is returned. [e2e-llm-inference-service] :param str resource_version: resourceVersion sets a constraint on what resource versions a request may be served from. See https://kubernetes.io/docs/reference/using-api/api-concepts/#resource-versions for details. Defaults to unset [e2e-llm-inference-service] :param str resource_version_match: resourceVersionMatch determines how resourceVersion is applied to list calls. It is highly recommended that resourceVersionMatch be set for list calls where resourceVersion is set See https://kubernetes.io/docs/reference/using-api/api-concepts/#resource-versions for details. Defaults to unset [e2e-llm-inference-service] :param bool send_initial_events: `sendInitialEvents=true` may be set together with `watch=true`. In that case, the watch stream will begin with synthetic events to produce the current state of objects in the collection. Once all such events have been sent, a synthetic \"Bookmark\" event will be sent. The bookmark will report the ResourceVersion (RV) corresponding to the set of objects, and be marked with `\"k8s.io/initial-events-end\": \"true\"` annotation. Afterwards, the watch stream will proceed as usual, sending watch events corresponding to changes (subsequent to the RV) to objects watched. When `sendInitialEvents` option is set, we require `resourceVersionMatch` option to also be set. The semantic of the watch request is as following: - `resourceVersionMatch` = NotOlderThan is interpreted as \"data at least as new as the provided `resourceVersion`\" and the bookmark event is send when the state is synced to a `resourceVersion` at least as fresh as the one provided by the ListOptions. If `resourceVersion` is unset, this is interpreted as \"consistent read\" and the bookmark event is send when the state is synced at least to the moment when request started being processed. - `resourceVersionMatch` set to any other value or unset Invalid error is returned. Defaults to true if `resourceVersion=\"\"` or `resourceVersion=\"0\"` (for backward compatibility reasons) and to false otherwise. [e2e-llm-inference-service] :param int timeout_seconds: Timeout for the list/watch call. This limits the duration of the call, regardless of any activity or inactivity. [e2e-llm-inference-service] :param bool watch: Watch for changes to the described resources and return them as a stream of add, update, and remove notifications. Specify resourceVersion. [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: V1PodList [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.list_namespaced_pod_with_http_info(namespace, **kwargs) # noqa: E501 [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/kubernetes/client/api/core_v1_api.py:15968: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] namespace = 'e2e-test-prestop-hook-22727e61' [e2e-llm-inference-service] kwargs = {'_return_http_data_only': True, 'label_selector': 'app.kubernetes.io/name=prestop-hook-test,kserve.io/component=workload'} [e2e-llm-inference-service] local_var_params = {'_return_http_data_only': True, 'all_params': ['namespace', 'pretty', 'allow_watch_bookmarks', '_continue', 'field_selector', 'label_selector', ...], 'auth_settings': ['BearerToken'], 'body_params': None, ...} [e2e-llm-inference-service] all_params = ['namespace', 'pretty', 'allow_watch_bookmarks', '_continue', 'field_selector', 'label_selector', ...] [e2e-llm-inference-service] key = '_return_http_data_only', val = True, collection_formats = {} [e2e-llm-inference-service] path_params = {'namespace': 'e2e-test-prestop-hook-22727e61'} [e2e-llm-inference-service] query_params = [('labelSelector', 'app.kubernetes.io/name=prestop-hook-test,kserve.io/component=workload')] [e2e-llm-inference-service] [e2e-llm-inference-service] def list_namespaced_pod_with_http_info(self, namespace, **kwargs): # noqa: E501 [e2e-llm-inference-service] """list_namespaced_pod # noqa: E501 [e2e-llm-inference-service] [e2e-llm-inference-service] list or watch objects of kind Pod # 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.list_namespaced_pod_with_http_info(namespace, 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 namespace: object name and auth scope, such as for teams and projects (required) [e2e-llm-inference-service] :param str pretty: If 'true', then the output is pretty printed. Defaults to 'false' unless the user-agent indicates a browser or command-line HTTP tool (curl and wget). [e2e-llm-inference-service] :param bool allow_watch_bookmarks: allowWatchBookmarks requests watch events with type \"BOOKMARK\". Servers that do not implement bookmarks may ignore this flag and bookmarks are sent at the server's discretion. Clients should not assume bookmarks are returned at any specific interval, nor may they assume the server will send any BOOKMARK event during a session. If this is not a watch, this field is ignored. [e2e-llm-inference-service] :param str _continue: The continue option should be set when retrieving more results from the server. Since this value is server defined, clients may only use the continue value from a previous query result with identical query parameters (except for the value of continue) and the server may reject a continue value it does not recognize. If the specified continue value is no longer valid whether due to expiration (generally five to fifteen minutes) or a configuration change on the server, the server will respond with a 410 ResourceExpired error together with a continue token. If the client needs a consistent list, it must restart their list without the continue field. Otherwise, the client may send another list request with the token received with the 410 error, the server will respond with a list starting from the next key, but from the latest snapshot, which is inconsistent from the previous list results - objects that are created, modified, or deleted after the first list request will be included in the response, as long as their keys are after the \"next key\". This field is not supported when watch is true. Clients may start a watch from the last resourceVersion value returned by the server and not miss any modifications. [e2e-llm-inference-service] :param str field_selector: A selector to restrict the list of returned objects by their fields. Defaults to everything. [e2e-llm-inference-service] :param str label_selector: A selector to restrict the list of returned objects by their labels. Defaults to everything. [e2e-llm-inference-service] :param int limit: limit is a maximum number of responses to return for a list call. If more items exist, the server will set the `continue` field on the list metadata to a value that can be used with the same initial query to retrieve the next set of results. Setting a limit may return fewer than the requested amount of items (up to zero items) in the event all requested objects are filtered out and clients should only use the presence of the continue field to determine whether more results are available. Servers may choose not to support the limit argument and will return all of the available results. If limit is specified and the continue field is empty, clients may assume that no more results are available. This field is not supported if watch is true. The server guarantees that the objects returned when using continue will be identical to issuing a single list call without a limit - that is, no objects created, modified, or deleted after the first request is issued will be included in any subsequent continued requests. This is sometimes referred to as a consistent snapshot, and ensures that a client that is using limit to receive smaller chunks of a very large result can ensure they see all possible objects. If objects are updated during a chunked list the version of the object that was present at the time the first list result was calculated is returned. [e2e-llm-inference-service] :param str resource_version: resourceVersion sets a constraint on what resource versions a request may be served from. See https://kubernetes.io/docs/reference/using-api/api-concepts/#resource-versions for details. Defaults to unset [e2e-llm-inference-service] :param str resource_version_match: resourceVersionMatch determines how resourceVersion is applied to list calls. It is highly recommended that resourceVersionMatch be set for list calls where resourceVersion is set See https://kubernetes.io/docs/reference/using-api/api-concepts/#resource-versions for details. Defaults to unset [e2e-llm-inference-service] :param bool send_initial_events: `sendInitialEvents=true` may be set together with `watch=true`. In that case, the watch stream will begin with synthetic events to produce the current state of objects in the collection. Once all such events have been sent, a synthetic \"Bookmark\" event will be sent. The bookmark will report the ResourceVersion (RV) corresponding to the set of objects, and be marked with `\"k8s.io/initial-events-end\": \"true\"` annotation. Afterwards, the watch stream will proceed as usual, sending watch events corresponding to changes (subsequent to the RV) to objects watched. When `sendInitialEvents` option is set, we require `resourceVersionMatch` option to also be set. The semantic of the watch request is as following: - `resourceVersionMatch` = NotOlderThan is interpreted as \"data at least as new as the provided `resourceVersion`\" and the bookmark event is send when the state is synced to a `resourceVersion` at least as fresh as the one provided by the ListOptions. If `resourceVersion` is unset, this is interpreted as \"consistent read\" and the bookmark event is send when the state is synced at least to the moment when request started being processed. - `resourceVersionMatch` set to any other value or unset Invalid error is returned. Defaults to true if `resourceVersion=\"\"` or `resourceVersion=\"0\"` (for backward compatibility reasons) and to false otherwise. [e2e-llm-inference-service] :param int timeout_seconds: Timeout for the list/watch call. This limits the duration of the call, regardless of any activity or inactivity. [e2e-llm-inference-service] :param bool watch: Watch for changes to the described resources and return them as a stream of add, update, and remove notifications. Specify resourceVersion. [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(V1PodList, 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] 'namespace', [e2e-llm-inference-service] 'pretty', [e2e-llm-inference-service] 'allow_watch_bookmarks', [e2e-llm-inference-service] '_continue', [e2e-llm-inference-service] 'field_selector', [e2e-llm-inference-service] 'label_selector', [e2e-llm-inference-service] 'limit', [e2e-llm-inference-service] 'resource_version', [e2e-llm-inference-service] 'resource_version_match', [e2e-llm-inference-service] 'send_initial_events', [e2e-llm-inference-service] 'timeout_seconds', [e2e-llm-inference-service] 'watch' [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 list_namespaced_pod" % 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 '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 `list_namespaced_pod`") # 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 'namespace' in local_var_params: [e2e-llm-inference-service] path_params['namespace'] = local_var_params['namespace'] # 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 'allow_watch_bookmarks' in local_var_params and local_var_params['allow_watch_bookmarks'] is not None: # noqa: E501 [e2e-llm-inference-service] query_params.append(('allowWatchBookmarks', local_var_params['allow_watch_bookmarks'])) # noqa: E501 [e2e-llm-inference-service] if '_continue' in local_var_params and local_var_params['_continue'] is not None: # noqa: E501 [e2e-llm-inference-service] query_params.append(('continue', local_var_params['_continue'])) # noqa: E501 [e2e-llm-inference-service] if 'field_selector' in local_var_params and local_var_params['field_selector'] is not None: # noqa: E501 [e2e-llm-inference-service] query_params.append(('fieldSelector', local_var_params['field_selector'])) # noqa: E501 [e2e-llm-inference-service] if 'label_selector' in local_var_params and local_var_params['label_selector'] is not None: # noqa: E501 [e2e-llm-inference-service] query_params.append(('labelSelector', local_var_params['label_selector'])) # noqa: E501 [e2e-llm-inference-service] if 'limit' in local_var_params and local_var_params['limit'] is not None: # noqa: E501 [e2e-llm-inference-service] query_params.append(('limit', local_var_params['limit'])) # noqa: E501 [e2e-llm-inference-service] if 'resource_version' in local_var_params and local_var_params['resource_version'] is not None: # noqa: E501 [e2e-llm-inference-service] query_params.append(('resourceVersion', local_var_params['resource_version'])) # noqa: E501 [e2e-llm-inference-service] if 'resource_version_match' in local_var_params and local_var_params['resource_version_match'] is not None: # noqa: E501 [e2e-llm-inference-service] query_params.append(('resourceVersionMatch', local_var_params['resource_version_match'])) # noqa: E501 [e2e-llm-inference-service] if 'send_initial_events' in local_var_params and local_var_params['send_initial_events'] is not None: # noqa: E501 [e2e-llm-inference-service] query_params.append(('sendInitialEvents', local_var_params['send_initial_events'])) # noqa: E501 [e2e-llm-inference-service] if 'timeout_seconds' in local_var_params and local_var_params['timeout_seconds'] is not None: # noqa: E501 [e2e-llm-inference-service] query_params.append(('timeoutSeconds', local_var_params['timeout_seconds'])) # noqa: E501 [e2e-llm-inference-service] if 'watch' in local_var_params and local_var_params['watch'] is not None: # noqa: E501 [e2e-llm-inference-service] query_params.append(('watch', local_var_params['watch'])) # 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] # HTTP header `Accept` [e2e-llm-inference-service] header_params['Accept'] = self.api_client.select_header_accept( [e2e-llm-inference-service] ['application/json', 'application/yaml', 'application/vnd.kubernetes.protobuf', 'application/cbor', 'application/json;stream=watch', 'application/vnd.kubernetes.protobuf;stream=watch', 'application/cbor-seq']) # 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] '/api/v1/namespaces/{namespace}/pods', '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='V1PodList', # 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/core_v1_api.py:16087: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] resource_path = '/api/v1/namespaces/{namespace}/pods', method = 'GET' [e2e-llm-inference-service] path_params = {'namespace': 'e2e-test-prestop-hook-22727e61'} [e2e-llm-inference-service] query_params = [('labelSelector', 'app.kubernetes.io/name=prestop-hook-test,kserve.io/component=workload')] [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 = 'V1PodList' [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 = '/api/v1/namespaces/e2e-test-prestop-hook-22727e61/pods' [e2e-llm-inference-service] method = 'GET', path_params = [('namespace', 'e2e-test-prestop-hook-22727e61')] [e2e-llm-inference-service] query_params = [('labelSelector', 'app.kubernetes.io/name=prestop-hook-test,kserve.io/component=workload')] [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 = 'V1PodList' [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://acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com:6443/api/v1/namespaces/e2e-test-prestop-hook-22727e61/pods' [e2e-llm-inference-service] query_params = [('labelSelector', 'app.kubernetes.io/name=prestop-hook-test,kserve.io/component=workload')] [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://acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com:6443/api/v1/namespaces/e2e-test-prestop-hook-22727e61/pods' [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 = [('labelSelector', 'app.kubernetes.io/name=prestop-hook-test,kserve.io/component=workload')] [e2e-llm-inference-service] _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://acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com:6443/api/v1/namespaces/e2e-test-prestop-hook-22727e61/pods' [e2e-llm-inference-service] query_params = [('labelSelector', 'app.kubernetes.io/name=prestop-hook-test,kserve.io/component=workload')] [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] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/kubernetes/client/rest.py:217: [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://acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com:6443/api/v1/namespaces/e2e-test-prestop-hook-22727e61/pods' [e2e-llm-inference-service] body = None [e2e-llm-inference-service] fields = [('labelSelector', 'app.kubernetes.io/name=prestop-hook-test,kserve.io/component=workload')] [e2e-llm-inference-service] headers = {'Accept': 'application/json', 'Content-Type': 'application/json', 'User-Agent': 'OpenAPI-Generator/32.0.1/python'} [e2e-llm-inference-service] json = None, urlopen_kw = {'preload_content': True, 'timeout': None} [e2e-llm-inference-service] [e2e-llm-inference-service] def request( [e2e-llm-inference-service] self, [e2e-llm-inference-service] method: str, [e2e-llm-inference-service] url: str, [e2e-llm-inference-service] body: _TYPE_BODY | None = None, [e2e-llm-inference-service] fields: _TYPE_FIELDS | None = None, [e2e-llm-inference-service] headers: typing.Mapping[str, str] | None = None, [e2e-llm-inference-service] json: typing.Any | None = None, [e2e-llm-inference-service] **urlopen_kw: typing.Any, [e2e-llm-inference-service] ) -> BaseHTTPResponse: [e2e-llm-inference-service] """ [e2e-llm-inference-service] Make a request using :meth:`urlopen` with the appropriate encoding of [e2e-llm-inference-service] ``fields`` based on the ``method`` used. [e2e-llm-inference-service] [e2e-llm-inference-service] This is a convenience method that requires the least amount of manual [e2e-llm-inference-service] effort. It can be used in most situations, while still having the [e2e-llm-inference-service] option to drop down to more specific methods when necessary, such as [e2e-llm-inference-service] :meth:`request_encode_url`, :meth:`request_encode_body`, [e2e-llm-inference-service] or even the lowest level :meth:`urlopen`. [e2e-llm-inference-service] [e2e-llm-inference-service] :param method: [e2e-llm-inference-service] HTTP request method (such as GET, POST, PUT, etc.) [e2e-llm-inference-service] [e2e-llm-inference-service] :param url: [e2e-llm-inference-service] The URL to perform the request on. [e2e-llm-inference-service] [e2e-llm-inference-service] :param body: [e2e-llm-inference-service] Data to send in the request body, either :class:`str`, :class:`bytes`, [e2e-llm-inference-service] an iterable of :class:`str`/:class:`bytes`, or a file-like object. [e2e-llm-inference-service] [e2e-llm-inference-service] :param fields: [e2e-llm-inference-service] Data to encode and send in the URL or request body, depending on ``method``. [e2e-llm-inference-service] [e2e-llm-inference-service] :param headers: [e2e-llm-inference-service] Dictionary of custom headers to send, such as User-Agent, [e2e-llm-inference-service] If-None-Match, etc. If None, pool headers are used. If provided, [e2e-llm-inference-service] these headers completely replace any pool-specific headers. [e2e-llm-inference-service] [e2e-llm-inference-service] :param json: [e2e-llm-inference-service] Data to encode and send as JSON with UTF-encoded in the request body. [e2e-llm-inference-service] The ``"Content-Type"`` header will be set to ``"application/json"`` [e2e-llm-inference-service] unless specified otherwise. [e2e-llm-inference-service] """ [e2e-llm-inference-service] method = method.upper() [e2e-llm-inference-service] [e2e-llm-inference-service] if json is not None and body is not None: [e2e-llm-inference-service] raise TypeError( [e2e-llm-inference-service] "request got values for both 'body' and 'json' parameters which are mutually exclusive" [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] if json is not None: [e2e-llm-inference-service] if headers is None: [e2e-llm-inference-service] headers = self.headers [e2e-llm-inference-service] [e2e-llm-inference-service] if not ("content-type" in map(str.lower, headers.keys())): [e2e-llm-inference-service] headers = HTTPHeaderDict(headers) [e2e-llm-inference-service] headers["Content-Type"] = "application/json" [e2e-llm-inference-service] [e2e-llm-inference-service] body = _json.dumps(json, separators=(",", ":"), ensure_ascii=False).encode( [e2e-llm-inference-service] "utf-8" [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] if body is not None: [e2e-llm-inference-service] urlopen_kw["body"] = body [e2e-llm-inference-service] [e2e-llm-inference-service] if method in self._encode_url_methods: [e2e-llm-inference-service] > return self.request_encode_url( [e2e-llm-inference-service] method, [e2e-llm-inference-service] url, [e2e-llm-inference-service] fields=fields, # type: ignore[arg-type] [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] **urlopen_kw, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/_request_methods.py:135: [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://acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com:6443/api/v1/namespaces/e2e-test-prestop-hook-22727e61/pods?labelSelector=app.kubernetes.io%2Fname%3Dprestop-hook-test%2Ckserve.io%2Fcomponent%3Dworkload' [e2e-llm-inference-service] fields = [('labelSelector', 'app.kubernetes.io/name=prestop-hook-test,kserve.io/component=workload')] [e2e-llm-inference-service] headers = {'Accept': 'application/json', 'Content-Type': 'application/json', 'User-Agent': 'OpenAPI-Generator/32.0.1/python'} [e2e-llm-inference-service] urlopen_kw = {'preload_content': True, 'timeout': None} [e2e-llm-inference-service] extra_kw = {'headers': {'Accept': 'application/json', 'Content-Type': 'application/json', 'User-Agent': 'OpenAPI-Generator/32.0.1/python'}, 'preload_content': True, 'timeout': None} [e2e-llm-inference-service] [e2e-llm-inference-service] def request_encode_url( [e2e-llm-inference-service] self, [e2e-llm-inference-service] method: str, [e2e-llm-inference-service] url: str, [e2e-llm-inference-service] fields: _TYPE_ENCODE_URL_FIELDS | None = None, [e2e-llm-inference-service] headers: typing.Mapping[str, str] | None = None, [e2e-llm-inference-service] **urlopen_kw: str, [e2e-llm-inference-service] ) -> BaseHTTPResponse: [e2e-llm-inference-service] """ [e2e-llm-inference-service] Make a request using :meth:`urlopen` with the ``fields`` encoded in [e2e-llm-inference-service] the url. This is useful for request methods like GET, HEAD, DELETE, etc. [e2e-llm-inference-service] [e2e-llm-inference-service] :param method: [e2e-llm-inference-service] HTTP request method (such as GET, POST, PUT, etc.) [e2e-llm-inference-service] [e2e-llm-inference-service] :param url: [e2e-llm-inference-service] The URL to perform the request on. [e2e-llm-inference-service] [e2e-llm-inference-service] :param fields: [e2e-llm-inference-service] Data to encode and send in the URL. [e2e-llm-inference-service] [e2e-llm-inference-service] :param headers: [e2e-llm-inference-service] Dictionary of custom headers to send, such as User-Agent, [e2e-llm-inference-service] If-None-Match, etc. If None, pool headers are used. If provided, [e2e-llm-inference-service] these headers completely replace any pool-specific headers. [e2e-llm-inference-service] """ [e2e-llm-inference-service] if headers is None: [e2e-llm-inference-service] headers = self.headers [e2e-llm-inference-service] [e2e-llm-inference-service] extra_kw: dict[str, typing.Any] = {"headers": headers} [e2e-llm-inference-service] extra_kw.update(urlopen_kw) [e2e-llm-inference-service] [e2e-llm-inference-service] if fields: [e2e-llm-inference-service] url += "?" + urlencode(fields) [e2e-llm-inference-service] [e2e-llm-inference-service] > return self.urlopen(method, url, **extra_kw) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/_request_methods.py:182: [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://acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com:6443/api/v1/namespaces/e2e-test-prestop-hook-22727e61/pods?labelSelector=app.kubernetes.io%2Fname%3Dprestop-hook-test%2Ckserve.io%2Fcomponent%3Dworkload' [e2e-llm-inference-service] redirect = True [e2e-llm-inference-service] kw = {'assert_same_host': False, 'headers': {'Accept': 'application/json', 'Content-Type': 'application/json', 'User-Agent': 'OpenAPI-Generator/32.0.1/python'}, 'preload_content': True, 'redirect': False, ...} [e2e-llm-inference-service] u = Url(scheme='https', auth=None, host='acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com', p..., query='labelSelector=app.kubernetes.io%2Fname%3Dprestop-hook-test%2Ckserve.io%2Fcomponent%3Dworkload', fragment=None) [e2e-llm-inference-service] conn = [e2e-llm-inference-service] [e2e-llm-inference-service] def urlopen( # type: ignore[override] [e2e-llm-inference-service] self, method: str, url: str, redirect: bool = True, **kw: typing.Any [e2e-llm-inference-service] ) -> BaseHTTPResponse: [e2e-llm-inference-service] """ [e2e-llm-inference-service] Same as :meth:`urllib3.HTTPConnectionPool.urlopen` [e2e-llm-inference-service] with custom cross-host redirect logic and only sends the request-uri [e2e-llm-inference-service] portion of the ``url``. [e2e-llm-inference-service] [e2e-llm-inference-service] The given ``url`` parameter must be absolute, such that an appropriate [e2e-llm-inference-service] :class:`urllib3.connectionpool.ConnectionPool` can be chosen for it. [e2e-llm-inference-service] """ [e2e-llm-inference-service] u = parse_url(url) [e2e-llm-inference-service] [e2e-llm-inference-service] if u.scheme is None: [e2e-llm-inference-service] warnings.warn( [e2e-llm-inference-service] "URLs without a scheme (ie 'https://') are deprecated and will raise an error " [e2e-llm-inference-service] "in urllib3 v3.0. To avoid this FutureWarning ensure all URLs " [e2e-llm-inference-service] "start with 'https://' or 'http://'. Read more in this issue: " [e2e-llm-inference-service] "https://github.com/urllib3/urllib3/issues/2920", [e2e-llm-inference-service] category=FutureWarning, [e2e-llm-inference-service] stacklevel=2, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] conn = self.connection_from_host(u.host, port=u.port, scheme=u.scheme) [e2e-llm-inference-service] [e2e-llm-inference-service] kw["assert_same_host"] = False [e2e-llm-inference-service] kw["redirect"] = False [e2e-llm-inference-service] [e2e-llm-inference-service] if "headers" not in kw: [e2e-llm-inference-service] kw["headers"] = self.headers [e2e-llm-inference-service] [e2e-llm-inference-service] if self._proxy_requires_url_absolute_form(u): [e2e-llm-inference-service] response = conn.urlopen(method, url, **kw) [e2e-llm-inference-service] else: [e2e-llm-inference-service] > response = conn.urlopen(method, u.request_uri, **kw) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/poolmanager.py:457: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] method = 'GET' [e2e-llm-inference-service] url = '/api/v1/namespaces/e2e-test-prestop-hook-22727e61/pods?labelSelector=app.kubernetes.io%2Fname%3Dprestop-hook-test%2Ckserve.io%2Fcomponent%3Dworkload' [e2e-llm-inference-service] body = None [e2e-llm-inference-service] headers = {'Accept': 'application/json', 'Content-Type': 'application/json', 'User-Agent': 'OpenAPI-Generator/32.0.1/python'} [e2e-llm-inference-service] retries = Retry(total=2, connect=None, read=None, redirect=None, status=None) [e2e-llm-inference-service] redirect = False, assert_same_host = False, timeout = None, pool_timeout = None [e2e-llm-inference-service] release_conn = True, chunked = False, body_pos = None, preload_content = True [e2e-llm-inference-service] decode_content = True, response_kw = {}, destination_scheme = None, conn = None [e2e-llm-inference-service] release_this_conn = True, http_tunnel_required = False [e2e-llm-inference-service] err = ConnectionResetError(104, 'Connection reset by peer'), clean_exit = False [e2e-llm-inference-service] [e2e-llm-inference-service] def urlopen( # type: ignore[override] [e2e-llm-inference-service] self, [e2e-llm-inference-service] method: str, [e2e-llm-inference-service] url: str, [e2e-llm-inference-service] body: _TYPE_BODY | None = None, [e2e-llm-inference-service] headers: typing.Mapping[str, str] | None = None, [e2e-llm-inference-service] retries: Retry | bool | int | None = None, [e2e-llm-inference-service] redirect: bool = True, [e2e-llm-inference-service] assert_same_host: bool = True, [e2e-llm-inference-service] timeout: _TYPE_TIMEOUT = _DEFAULT_TIMEOUT, [e2e-llm-inference-service] pool_timeout: int | None = None, [e2e-llm-inference-service] release_conn: bool | None = None, [e2e-llm-inference-service] chunked: bool = False, [e2e-llm-inference-service] body_pos: _TYPE_BODY_POSITION | None = None, [e2e-llm-inference-service] preload_content: bool = True, [e2e-llm-inference-service] decode_content: bool = True, [e2e-llm-inference-service] **response_kw: typing.Any, [e2e-llm-inference-service] ) -> BaseHTTPResponse: [e2e-llm-inference-service] """ [e2e-llm-inference-service] Get a connection from the pool and perform an HTTP request. This is the [e2e-llm-inference-service] lowest level call for making a request, so you'll need to specify all [e2e-llm-inference-service] the raw details. [e2e-llm-inference-service] [e2e-llm-inference-service] .. note:: [e2e-llm-inference-service] [e2e-llm-inference-service] More commonly, it's appropriate to use a convenience method [e2e-llm-inference-service] such as :meth:`request`. [e2e-llm-inference-service] [e2e-llm-inference-service] .. note:: [e2e-llm-inference-service] [e2e-llm-inference-service] `release_conn` will only behave as expected if [e2e-llm-inference-service] `preload_content=False` because we want to make [e2e-llm-inference-service] `preload_content=False` the default behaviour someday soon without [e2e-llm-inference-service] breaking backwards compatibility. [e2e-llm-inference-service] [e2e-llm-inference-service] :param method: [e2e-llm-inference-service] HTTP request method (such as GET, POST, PUT, etc.) [e2e-llm-inference-service] [e2e-llm-inference-service] :param url: [e2e-llm-inference-service] The URL to perform the request on. [e2e-llm-inference-service] [e2e-llm-inference-service] :param body: [e2e-llm-inference-service] Data to send in the request body, either :class:`str`, :class:`bytes`, [e2e-llm-inference-service] an iterable of :class:`str`/:class:`bytes`, or a file-like object. [e2e-llm-inference-service] [e2e-llm-inference-service] :param headers: [e2e-llm-inference-service] Dictionary of custom headers to send, such as User-Agent, [e2e-llm-inference-service] If-None-Match, etc. If None, pool headers are used. If provided, [e2e-llm-inference-service] these headers completely replace any pool-specific headers. [e2e-llm-inference-service] [e2e-llm-inference-service] :param retries: [e2e-llm-inference-service] Configure the number of retries to allow before raising a [e2e-llm-inference-service] :class:`~urllib3.exceptions.MaxRetryError` exception. [e2e-llm-inference-service] [e2e-llm-inference-service] If ``None`` (default) will retry 3 times, see ``Retry.DEFAULT``. Pass a [e2e-llm-inference-service] :class:`~urllib3.util.retry.Retry` object for fine-grained control [e2e-llm-inference-service] over different types of retries. [e2e-llm-inference-service] Pass an integer number to retry connection errors that many times, [e2e-llm-inference-service] but no other types of errors. Pass zero to never retry. [e2e-llm-inference-service] [e2e-llm-inference-service] If ``False``, then retries are disabled and any exception is raised [e2e-llm-inference-service] immediately. Also, instead of raising a MaxRetryError on redirects, [e2e-llm-inference-service] the redirect response will be returned. [e2e-llm-inference-service] [e2e-llm-inference-service] :type retries: :class:`~urllib3.util.retry.Retry`, False, or an int. [e2e-llm-inference-service] [e2e-llm-inference-service] :param redirect: [e2e-llm-inference-service] If True, automatically handle redirects (status codes 301, 302, [e2e-llm-inference-service] 303, 307, 308). Each redirect counts as a retry. Disabling retries [e2e-llm-inference-service] will disable redirect, too. [e2e-llm-inference-service] [e2e-llm-inference-service] :param assert_same_host: [e2e-llm-inference-service] If ``True``, will make sure that the host of the pool requests is [e2e-llm-inference-service] consistent else will raise HostChangedError. When ``False``, you can [e2e-llm-inference-service] use the pool on an HTTP proxy and request foreign hosts. [e2e-llm-inference-service] [e2e-llm-inference-service] :param timeout: [e2e-llm-inference-service] If specified, overrides the default timeout for this one [e2e-llm-inference-service] request. It may be a float (in seconds) or an instance of [e2e-llm-inference-service] :class:`urllib3.util.Timeout`. [e2e-llm-inference-service] [e2e-llm-inference-service] :param pool_timeout: [e2e-llm-inference-service] If set and the pool is set to block=True, then this method will [e2e-llm-inference-service] block for ``pool_timeout`` seconds and raise EmptyPoolError if no [e2e-llm-inference-service] connection is available within the time period. [e2e-llm-inference-service] [e2e-llm-inference-service] :param bool preload_content: [e2e-llm-inference-service] If True, the response's body will be preloaded into memory. [e2e-llm-inference-service] [e2e-llm-inference-service] :param bool decode_content: [e2e-llm-inference-service] If True, will attempt to decode the body based on the [e2e-llm-inference-service] 'content-encoding' header. [e2e-llm-inference-service] [e2e-llm-inference-service] :param release_conn: [e2e-llm-inference-service] If False, then the urlopen call will not release the connection [e2e-llm-inference-service] back into the pool once a response is received (but will release if [e2e-llm-inference-service] you read the entire contents of the response such as when [e2e-llm-inference-service] `preload_content=True`). This is useful if you're not preloading [e2e-llm-inference-service] the response's content immediately. You will need to call [e2e-llm-inference-service] ``r.release_conn()`` on the response ``r`` to return the connection [e2e-llm-inference-service] back into the pool. If None, it takes the value of ``preload_content`` [e2e-llm-inference-service] which defaults to ``True``. [e2e-llm-inference-service] [e2e-llm-inference-service] :param bool chunked: [e2e-llm-inference-service] If True, urllib3 will send the body using chunked transfer [e2e-llm-inference-service] encoding. Otherwise, urllib3 will send the body using the standard [e2e-llm-inference-service] content-length form. Defaults to False. [e2e-llm-inference-service] [e2e-llm-inference-service] :param int body_pos: [e2e-llm-inference-service] Position to seek to in file-like body in the event of a retry or [e2e-llm-inference-service] redirect. Typically this won't need to be set because urllib3 will [e2e-llm-inference-service] auto-populate the value when needed. [e2e-llm-inference-service] """ [e2e-llm-inference-service] # Ensure that the URL we're connecting to is properly encoded [e2e-llm-inference-service] if url.startswith("/"): [e2e-llm-inference-service] # URLs starting with / are inherently schemeless. [e2e-llm-inference-service] url = to_str(_encode_target(url)) [e2e-llm-inference-service] destination_scheme = None [e2e-llm-inference-service] else: [e2e-llm-inference-service] parsed_url = parse_url(url) [e2e-llm-inference-service] destination_scheme = parsed_url.scheme [e2e-llm-inference-service] url = to_str(parsed_url.url) [e2e-llm-inference-service] [e2e-llm-inference-service] if headers is None: [e2e-llm-inference-service] headers = self.headers [e2e-llm-inference-service] [e2e-llm-inference-service] if not isinstance(retries, Retry): [e2e-llm-inference-service] retries = Retry.from_int(retries, redirect=redirect, default=self.retries) [e2e-llm-inference-service] [e2e-llm-inference-service] if release_conn is None: [e2e-llm-inference-service] release_conn = preload_content [e2e-llm-inference-service] [e2e-llm-inference-service] # Check host [e2e-llm-inference-service] if assert_same_host and not self.is_same_host(url): [e2e-llm-inference-service] raise HostChangedError(self, url, retries) [e2e-llm-inference-service] [e2e-llm-inference-service] conn = None [e2e-llm-inference-service] [e2e-llm-inference-service] # Track whether `conn` needs to be released before [e2e-llm-inference-service] # returning/raising/recursing. Update this variable if necessary, and [e2e-llm-inference-service] # leave `release_conn` constant throughout the function. That way, if [e2e-llm-inference-service] # the function recurses, the original value of `release_conn` will be [e2e-llm-inference-service] # passed down into the recursive call, and its value will be respected. [e2e-llm-inference-service] # [e2e-llm-inference-service] # See issue #651 [1] for details. [e2e-llm-inference-service] # [e2e-llm-inference-service] # [1] [e2e-llm-inference-service] release_this_conn = release_conn [e2e-llm-inference-service] [e2e-llm-inference-service] http_tunnel_required = connection_requires_http_tunnel( [e2e-llm-inference-service] self.proxy, self.proxy_config, destination_scheme [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] # Merge the proxy headers. Only done when not using HTTP CONNECT. We [e2e-llm-inference-service] # have to copy the headers dict so we can safely change it without those [e2e-llm-inference-service] # changes being reflected in anyone else's copy. [e2e-llm-inference-service] if not http_tunnel_required: [e2e-llm-inference-service] headers = headers.copy() # type: ignore[attr-defined] [e2e-llm-inference-service] headers.update(self.proxy_headers) # type: ignore[union-attr] [e2e-llm-inference-service] [e2e-llm-inference-service] # Must keep the exception bound to a separate variable or else Python 3 [e2e-llm-inference-service] # complains about UnboundLocalError. [e2e-llm-inference-service] err = None [e2e-llm-inference-service] [e2e-llm-inference-service] # Keep track of whether we cleanly exited the except block. This [e2e-llm-inference-service] # ensures we do proper cleanup in finally. [e2e-llm-inference-service] clean_exit = False [e2e-llm-inference-service] [e2e-llm-inference-service] # Rewind body position, if needed. Record current position [e2e-llm-inference-service] # for future rewinds in the event of a redirect/retry. [e2e-llm-inference-service] body_pos = set_file_position(body, body_pos) [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] # Request a connection from the queue. [e2e-llm-inference-service] timeout_obj = self._get_timeout(timeout) [e2e-llm-inference-service] conn = self._get_conn(timeout=pool_timeout) [e2e-llm-inference-service] [e2e-llm-inference-service] conn.timeout = timeout_obj.connect_timeout # type: ignore[assignment] [e2e-llm-inference-service] [e2e-llm-inference-service] # Is this a closed/new connection that requires CONNECT tunnelling? [e2e-llm-inference-service] if self.proxy is not None and http_tunnel_required and conn.is_closed: [e2e-llm-inference-service] try: [e2e-llm-inference-service] self._prepare_proxy(conn) [e2e-llm-inference-service] except (BaseSSLError, OSError, SocketTimeout) as e: [e2e-llm-inference-service] self._raise_timeout( [e2e-llm-inference-service] err=e, url=self.proxy.url, timeout_value=conn.timeout [e2e-llm-inference-service] ) [e2e-llm-inference-service] raise [e2e-llm-inference-service] [e2e-llm-inference-service] # If we're going to release the connection in ``finally:``, then [e2e-llm-inference-service] # the response doesn't need to know about the connection. Otherwise [e2e-llm-inference-service] # it will also try to release it and we'll have a double-release [e2e-llm-inference-service] # mess. [e2e-llm-inference-service] response_conn = conn if not release_conn else None [e2e-llm-inference-service] [e2e-llm-inference-service] # Make the request on the HTTPConnection object [e2e-llm-inference-service] response = self._make_request( [e2e-llm-inference-service] conn, [e2e-llm-inference-service] method, [e2e-llm-inference-service] url, [e2e-llm-inference-service] timeout=timeout_obj, [e2e-llm-inference-service] body=body, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] chunked=chunked, [e2e-llm-inference-service] retries=retries, [e2e-llm-inference-service] response_conn=response_conn, [e2e-llm-inference-service] preload_content=preload_content, [e2e-llm-inference-service] decode_content=decode_content, [e2e-llm-inference-service] **response_kw, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] # Everything went great! [e2e-llm-inference-service] clean_exit = True [e2e-llm-inference-service] [e2e-llm-inference-service] except EmptyPoolError: [e2e-llm-inference-service] # Didn't get a connection from the pool, no need to clean up [e2e-llm-inference-service] clean_exit = True [e2e-llm-inference-service] release_this_conn = False [e2e-llm-inference-service] raise [e2e-llm-inference-service] [e2e-llm-inference-service] except ( [e2e-llm-inference-service] TimeoutError, [e2e-llm-inference-service] HTTPException, [e2e-llm-inference-service] OSError, [e2e-llm-inference-service] ProtocolError, [e2e-llm-inference-service] BaseSSLError, [e2e-llm-inference-service] SSLError, [e2e-llm-inference-service] CertificateError, [e2e-llm-inference-service] ProxyError, [e2e-llm-inference-service] ) as e: [e2e-llm-inference-service] # Discard the connection for these exceptions. It will be [e2e-llm-inference-service] # replaced during the next _get_conn() call. [e2e-llm-inference-service] clean_exit = False [e2e-llm-inference-service] new_e: Exception = e [e2e-llm-inference-service] if isinstance(e, (BaseSSLError, CertificateError)): [e2e-llm-inference-service] new_e = SSLError(e) [e2e-llm-inference-service] if isinstance( [e2e-llm-inference-service] new_e, [e2e-llm-inference-service] ( [e2e-llm-inference-service] OSError, [e2e-llm-inference-service] NewConnectionError, [e2e-llm-inference-service] TimeoutError, [e2e-llm-inference-service] SSLError, [e2e-llm-inference-service] HTTPException, [e2e-llm-inference-service] ), [e2e-llm-inference-service] ) and (conn and conn.proxy and not conn.has_connected_to_proxy): [e2e-llm-inference-service] new_e = _wrap_proxy_error(new_e, conn.proxy.scheme) [e2e-llm-inference-service] elif isinstance(new_e, (OSError, HTTPException)): [e2e-llm-inference-service] new_e = ProtocolError("Connection aborted.", new_e) [e2e-llm-inference-service] [e2e-llm-inference-service] retries = retries.increment( [e2e-llm-inference-service] method, url, error=new_e, _pool=self, _stacktrace=sys.exc_info()[2] [e2e-llm-inference-service] ) [e2e-llm-inference-service] retries.sleep() [e2e-llm-inference-service] [e2e-llm-inference-service] # Keep track of the error for the retry warning. [e2e-llm-inference-service] err = e [e2e-llm-inference-service] [e2e-llm-inference-service] finally: [e2e-llm-inference-service] if not clean_exit: [e2e-llm-inference-service] # We hit some kind of exception, handled or otherwise. We need [e2e-llm-inference-service] # to throw the connection away unless explicitly told not to. [e2e-llm-inference-service] # Close the connection, set the variable to None, and make sure [e2e-llm-inference-service] # we put the None back in the pool to avoid leaking it. [e2e-llm-inference-service] if conn: [e2e-llm-inference-service] conn.close() [e2e-llm-inference-service] conn = None [e2e-llm-inference-service] release_this_conn = True [e2e-llm-inference-service] [e2e-llm-inference-service] if release_this_conn: [e2e-llm-inference-service] # Put the connection back to be reused. If the connection is [e2e-llm-inference-service] # expired then it will be None, which will get replaced with a [e2e-llm-inference-service] # fresh connection during _get_conn. [e2e-llm-inference-service] self._put_conn(conn) [e2e-llm-inference-service] [e2e-llm-inference-service] if not conn: [e2e-llm-inference-service] # Try again [e2e-llm-inference-service] log.warning( [e2e-llm-inference-service] "Retrying (%r) after connection broken by '%r': %s", retries, err, url [e2e-llm-inference-service] ) [e2e-llm-inference-service] > return self.urlopen( [e2e-llm-inference-service] method, [e2e-llm-inference-service] url, [e2e-llm-inference-service] body, [e2e-llm-inference-service] headers, [e2e-llm-inference-service] retries, [e2e-llm-inference-service] redirect, [e2e-llm-inference-service] assert_same_host, [e2e-llm-inference-service] timeout=timeout, [e2e-llm-inference-service] pool_timeout=pool_timeout, [e2e-llm-inference-service] release_conn=release_conn, [e2e-llm-inference-service] chunked=chunked, [e2e-llm-inference-service] body_pos=body_pos, [e2e-llm-inference-service] preload_content=preload_content, [e2e-llm-inference-service] decode_content=decode_content, [e2e-llm-inference-service] **response_kw, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:872: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] method = 'GET' [e2e-llm-inference-service] url = '/api/v1/namespaces/e2e-test-prestop-hook-22727e61/pods?labelSelector=app.kubernetes.io%2Fname%3Dprestop-hook-test%2Ckserve.io%2Fcomponent%3Dworkload' [e2e-llm-inference-service] body = None [e2e-llm-inference-service] headers = {'Accept': 'application/json', 'Content-Type': 'application/json', 'User-Agent': 'OpenAPI-Generator/32.0.1/python'} [e2e-llm-inference-service] retries = Retry(total=1, connect=None, read=None, redirect=None, status=None) [e2e-llm-inference-service] redirect = False, assert_same_host = False, timeout = None, pool_timeout = None [e2e-llm-inference-service] release_conn = True, chunked = False, body_pos = None, preload_content = True [e2e-llm-inference-service] decode_content = True, response_kw = {}, destination_scheme = None, conn = None [e2e-llm-inference-service] release_this_conn = True, http_tunnel_required = False [e2e-llm-inference-service] err = ConnectTimeoutError( BaseHTTPResponse: [e2e-llm-inference-service] """ [e2e-llm-inference-service] Get a connection from the pool and perform an HTTP request. This is the [e2e-llm-inference-service] lowest level call for making a request, so you'll need to specify all [e2e-llm-inference-service] the raw details. [e2e-llm-inference-service] [e2e-llm-inference-service] .. note:: [e2e-llm-inference-service] [e2e-llm-inference-service] More commonly, it's appropriate to use a convenience method [e2e-llm-inference-service] such as :meth:`request`. [e2e-llm-inference-service] [e2e-llm-inference-service] .. note:: [e2e-llm-inference-service] [e2e-llm-inference-service] `release_conn` will only behave as expected if [e2e-llm-inference-service] `preload_content=False` because we want to make [e2e-llm-inference-service] `preload_content=False` the default behaviour someday soon without [e2e-llm-inference-service] breaking backwards compatibility. [e2e-llm-inference-service] [e2e-llm-inference-service] :param method: [e2e-llm-inference-service] HTTP request method (such as GET, POST, PUT, etc.) [e2e-llm-inference-service] [e2e-llm-inference-service] :param url: [e2e-llm-inference-service] The URL to perform the request on. [e2e-llm-inference-service] [e2e-llm-inference-service] :param body: [e2e-llm-inference-service] Data to send in the request body, either :class:`str`, :class:`bytes`, [e2e-llm-inference-service] an iterable of :class:`str`/:class:`bytes`, or a file-like object. [e2e-llm-inference-service] [e2e-llm-inference-service] :param headers: [e2e-llm-inference-service] Dictionary of custom headers to send, such as User-Agent, [e2e-llm-inference-service] If-None-Match, etc. If None, pool headers are used. If provided, [e2e-llm-inference-service] these headers completely replace any pool-specific headers. [e2e-llm-inference-service] [e2e-llm-inference-service] :param retries: [e2e-llm-inference-service] Configure the number of retries to allow before raising a [e2e-llm-inference-service] :class:`~urllib3.exceptions.MaxRetryError` exception. [e2e-llm-inference-service] [e2e-llm-inference-service] If ``None`` (default) will retry 3 times, see ``Retry.DEFAULT``. Pass a [e2e-llm-inference-service] :class:`~urllib3.util.retry.Retry` object for fine-grained control [e2e-llm-inference-service] over different types of retries. [e2e-llm-inference-service] Pass an integer number to retry connection errors that many times, [e2e-llm-inference-service] but no other types of errors. Pass zero to never retry. [e2e-llm-inference-service] [e2e-llm-inference-service] If ``False``, then retries are disabled and any exception is raised [e2e-llm-inference-service] immediately. Also, instead of raising a MaxRetryError on redirects, [e2e-llm-inference-service] the redirect response will be returned. [e2e-llm-inference-service] [e2e-llm-inference-service] :type retries: :class:`~urllib3.util.retry.Retry`, False, or an int. [e2e-llm-inference-service] [e2e-llm-inference-service] :param redirect: [e2e-llm-inference-service] If True, automatically handle redirects (status codes 301, 302, [e2e-llm-inference-service] 303, 307, 308). Each redirect counts as a retry. Disabling retries [e2e-llm-inference-service] will disable redirect, too. [e2e-llm-inference-service] [e2e-llm-inference-service] :param assert_same_host: [e2e-llm-inference-service] If ``True``, will make sure that the host of the pool requests is [e2e-llm-inference-service] consistent else will raise HostChangedError. When ``False``, you can [e2e-llm-inference-service] use the pool on an HTTP proxy and request foreign hosts. [e2e-llm-inference-service] [e2e-llm-inference-service] :param timeout: [e2e-llm-inference-service] If specified, overrides the default timeout for this one [e2e-llm-inference-service] request. It may be a float (in seconds) or an instance of [e2e-llm-inference-service] :class:`urllib3.util.Timeout`. [e2e-llm-inference-service] [e2e-llm-inference-service] :param pool_timeout: [e2e-llm-inference-service] If set and the pool is set to block=True, then this method will [e2e-llm-inference-service] block for ``pool_timeout`` seconds and raise EmptyPoolError if no [e2e-llm-inference-service] connection is available within the time period. [e2e-llm-inference-service] [e2e-llm-inference-service] :param bool preload_content: [e2e-llm-inference-service] If True, the response's body will be preloaded into memory. [e2e-llm-inference-service] [e2e-llm-inference-service] :param bool decode_content: [e2e-llm-inference-service] If True, will attempt to decode the body based on the [e2e-llm-inference-service] 'content-encoding' header. [e2e-llm-inference-service] [e2e-llm-inference-service] :param release_conn: [e2e-llm-inference-service] If False, then the urlopen call will not release the connection [e2e-llm-inference-service] back into the pool once a response is received (but will release if [e2e-llm-inference-service] you read the entire contents of the response such as when [e2e-llm-inference-service] `preload_content=True`). This is useful if you're not preloading [e2e-llm-inference-service] the response's content immediately. You will need to call [e2e-llm-inference-service] ``r.release_conn()`` on the response ``r`` to return the connection [e2e-llm-inference-service] back into the pool. If None, it takes the value of ``preload_content`` [e2e-llm-inference-service] which defaults to ``True``. [e2e-llm-inference-service] [e2e-llm-inference-service] :param bool chunked: [e2e-llm-inference-service] If True, urllib3 will send the body using chunked transfer [e2e-llm-inference-service] encoding. Otherwise, urllib3 will send the body using the standard [e2e-llm-inference-service] content-length form. Defaults to False. [e2e-llm-inference-service] [e2e-llm-inference-service] :param int body_pos: [e2e-llm-inference-service] Position to seek to in file-like body in the event of a retry or [e2e-llm-inference-service] redirect. Typically this won't need to be set because urllib3 will [e2e-llm-inference-service] auto-populate the value when needed. [e2e-llm-inference-service] """ [e2e-llm-inference-service] # Ensure that the URL we're connecting to is properly encoded [e2e-llm-inference-service] if url.startswith("/"): [e2e-llm-inference-service] # URLs starting with / are inherently schemeless. [e2e-llm-inference-service] url = to_str(_encode_target(url)) [e2e-llm-inference-service] destination_scheme = None [e2e-llm-inference-service] else: [e2e-llm-inference-service] parsed_url = parse_url(url) [e2e-llm-inference-service] destination_scheme = parsed_url.scheme [e2e-llm-inference-service] url = to_str(parsed_url.url) [e2e-llm-inference-service] [e2e-llm-inference-service] if headers is None: [e2e-llm-inference-service] headers = self.headers [e2e-llm-inference-service] [e2e-llm-inference-service] if not isinstance(retries, Retry): [e2e-llm-inference-service] retries = Retry.from_int(retries, redirect=redirect, default=self.retries) [e2e-llm-inference-service] [e2e-llm-inference-service] if release_conn is None: [e2e-llm-inference-service] release_conn = preload_content [e2e-llm-inference-service] [e2e-llm-inference-service] # Check host [e2e-llm-inference-service] if assert_same_host and not self.is_same_host(url): [e2e-llm-inference-service] raise HostChangedError(self, url, retries) [e2e-llm-inference-service] [e2e-llm-inference-service] conn = None [e2e-llm-inference-service] [e2e-llm-inference-service] # Track whether `conn` needs to be released before [e2e-llm-inference-service] # returning/raising/recursing. Update this variable if necessary, and [e2e-llm-inference-service] # leave `release_conn` constant throughout the function. That way, if [e2e-llm-inference-service] # the function recurses, the original value of `release_conn` will be [e2e-llm-inference-service] # passed down into the recursive call, and its value will be respected. [e2e-llm-inference-service] # [e2e-llm-inference-service] # See issue #651 [1] for details. [e2e-llm-inference-service] # [e2e-llm-inference-service] # [1] [e2e-llm-inference-service] release_this_conn = release_conn [e2e-llm-inference-service] [e2e-llm-inference-service] http_tunnel_required = connection_requires_http_tunnel( [e2e-llm-inference-service] self.proxy, self.proxy_config, destination_scheme [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] # Merge the proxy headers. Only done when not using HTTP CONNECT. We [e2e-llm-inference-service] # have to copy the headers dict so we can safely change it without those [e2e-llm-inference-service] # changes being reflected in anyone else's copy. [e2e-llm-inference-service] if not http_tunnel_required: [e2e-llm-inference-service] headers = headers.copy() # type: ignore[attr-defined] [e2e-llm-inference-service] headers.update(self.proxy_headers) # type: ignore[union-attr] [e2e-llm-inference-service] [e2e-llm-inference-service] # Must keep the exception bound to a separate variable or else Python 3 [e2e-llm-inference-service] # complains about UnboundLocalError. [e2e-llm-inference-service] err = None [e2e-llm-inference-service] [e2e-llm-inference-service] # Keep track of whether we cleanly exited the except block. This [e2e-llm-inference-service] # ensures we do proper cleanup in finally. [e2e-llm-inference-service] clean_exit = False [e2e-llm-inference-service] [e2e-llm-inference-service] # Rewind body position, if needed. Record current position [e2e-llm-inference-service] # for future rewinds in the event of a redirect/retry. [e2e-llm-inference-service] body_pos = set_file_position(body, body_pos) [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] # Request a connection from the queue. [e2e-llm-inference-service] timeout_obj = self._get_timeout(timeout) [e2e-llm-inference-service] conn = self._get_conn(timeout=pool_timeout) [e2e-llm-inference-service] [e2e-llm-inference-service] conn.timeout = timeout_obj.connect_timeout # type: ignore[assignment] [e2e-llm-inference-service] [e2e-llm-inference-service] # Is this a closed/new connection that requires CONNECT tunnelling? [e2e-llm-inference-service] if self.proxy is not None and http_tunnel_required and conn.is_closed: [e2e-llm-inference-service] try: [e2e-llm-inference-service] self._prepare_proxy(conn) [e2e-llm-inference-service] except (BaseSSLError, OSError, SocketTimeout) as e: [e2e-llm-inference-service] self._raise_timeout( [e2e-llm-inference-service] err=e, url=self.proxy.url, timeout_value=conn.timeout [e2e-llm-inference-service] ) [e2e-llm-inference-service] raise [e2e-llm-inference-service] [e2e-llm-inference-service] # If we're going to release the connection in ``finally:``, then [e2e-llm-inference-service] # the response doesn't need to know about the connection. Otherwise [e2e-llm-inference-service] # it will also try to release it and we'll have a double-release [e2e-llm-inference-service] # mess. [e2e-llm-inference-service] response_conn = conn if not release_conn else None [e2e-llm-inference-service] [e2e-llm-inference-service] # Make the request on the HTTPConnection object [e2e-llm-inference-service] response = self._make_request( [e2e-llm-inference-service] conn, [e2e-llm-inference-service] method, [e2e-llm-inference-service] url, [e2e-llm-inference-service] timeout=timeout_obj, [e2e-llm-inference-service] body=body, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] chunked=chunked, [e2e-llm-inference-service] retries=retries, [e2e-llm-inference-service] response_conn=response_conn, [e2e-llm-inference-service] preload_content=preload_content, [e2e-llm-inference-service] decode_content=decode_content, [e2e-llm-inference-service] **response_kw, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] # Everything went great! [e2e-llm-inference-service] clean_exit = True [e2e-llm-inference-service] [e2e-llm-inference-service] except EmptyPoolError: [e2e-llm-inference-service] # Didn't get a connection from the pool, no need to clean up [e2e-llm-inference-service] clean_exit = True [e2e-llm-inference-service] release_this_conn = False [e2e-llm-inference-service] raise [e2e-llm-inference-service] [e2e-llm-inference-service] except ( [e2e-llm-inference-service] TimeoutError, [e2e-llm-inference-service] HTTPException, [e2e-llm-inference-service] OSError, [e2e-llm-inference-service] ProtocolError, [e2e-llm-inference-service] BaseSSLError, [e2e-llm-inference-service] SSLError, [e2e-llm-inference-service] CertificateError, [e2e-llm-inference-service] ProxyError, [e2e-llm-inference-service] ) as e: [e2e-llm-inference-service] # Discard the connection for these exceptions. It will be [e2e-llm-inference-service] # replaced during the next _get_conn() call. [e2e-llm-inference-service] clean_exit = False [e2e-llm-inference-service] new_e: Exception = e [e2e-llm-inference-service] if isinstance(e, (BaseSSLError, CertificateError)): [e2e-llm-inference-service] new_e = SSLError(e) [e2e-llm-inference-service] if isinstance( [e2e-llm-inference-service] new_e, [e2e-llm-inference-service] ( [e2e-llm-inference-service] OSError, [e2e-llm-inference-service] NewConnectionError, [e2e-llm-inference-service] TimeoutError, [e2e-llm-inference-service] SSLError, [e2e-llm-inference-service] HTTPException, [e2e-llm-inference-service] ), [e2e-llm-inference-service] ) and (conn and conn.proxy and not conn.has_connected_to_proxy): [e2e-llm-inference-service] new_e = _wrap_proxy_error(new_e, conn.proxy.scheme) [e2e-llm-inference-service] elif isinstance(new_e, (OSError, HTTPException)): [e2e-llm-inference-service] new_e = ProtocolError("Connection aborted.", new_e) [e2e-llm-inference-service] [e2e-llm-inference-service] retries = retries.increment( [e2e-llm-inference-service] method, url, error=new_e, _pool=self, _stacktrace=sys.exc_info()[2] [e2e-llm-inference-service] ) [e2e-llm-inference-service] retries.sleep() [e2e-llm-inference-service] [e2e-llm-inference-service] # Keep track of the error for the retry warning. [e2e-llm-inference-service] err = e [e2e-llm-inference-service] [e2e-llm-inference-service] finally: [e2e-llm-inference-service] if not clean_exit: [e2e-llm-inference-service] # We hit some kind of exception, handled or otherwise. We need [e2e-llm-inference-service] # to throw the connection away unless explicitly told not to. [e2e-llm-inference-service] # Close the connection, set the variable to None, and make sure [e2e-llm-inference-service] # we put the None back in the pool to avoid leaking it. [e2e-llm-inference-service] if conn: [e2e-llm-inference-service] conn.close() [e2e-llm-inference-service] conn = None [e2e-llm-inference-service] release_this_conn = True [e2e-llm-inference-service] [e2e-llm-inference-service] if release_this_conn: [e2e-llm-inference-service] # Put the connection back to be reused. If the connection is [e2e-llm-inference-service] # expired then it will be None, which will get replaced with a [e2e-llm-inference-service] # fresh connection during _get_conn. [e2e-llm-inference-service] self._put_conn(conn) [e2e-llm-inference-service] [e2e-llm-inference-service] if not conn: [e2e-llm-inference-service] # Try again [e2e-llm-inference-service] log.warning( [e2e-llm-inference-service] "Retrying (%r) after connection broken by '%r': %s", retries, err, url [e2e-llm-inference-service] ) [e2e-llm-inference-service] > return self.urlopen( [e2e-llm-inference-service] method, [e2e-llm-inference-service] url, [e2e-llm-inference-service] body, [e2e-llm-inference-service] headers, [e2e-llm-inference-service] retries, [e2e-llm-inference-service] redirect, [e2e-llm-inference-service] assert_same_host, [e2e-llm-inference-service] timeout=timeout, [e2e-llm-inference-service] pool_timeout=pool_timeout, [e2e-llm-inference-service] release_conn=release_conn, [e2e-llm-inference-service] chunked=chunked, [e2e-llm-inference-service] body_pos=body_pos, [e2e-llm-inference-service] preload_content=preload_content, [e2e-llm-inference-service] decode_content=decode_content, [e2e-llm-inference-service] **response_kw, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:872: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] method = 'GET' [e2e-llm-inference-service] url = '/api/v1/namespaces/e2e-test-prestop-hook-22727e61/pods?labelSelector=app.kubernetes.io%2Fname%3Dprestop-hook-test%2Ckserve.io%2Fcomponent%3Dworkload' [e2e-llm-inference-service] body = None [e2e-llm-inference-service] headers = {'Accept': 'application/json', 'Content-Type': 'application/json', 'User-Agent': 'OpenAPI-Generator/32.0.1/python'} [e2e-llm-inference-service] retries = Retry(total=0, connect=None, read=None, redirect=None, status=None) [e2e-llm-inference-service] redirect = False, assert_same_host = False, timeout = None, pool_timeout = None [e2e-llm-inference-service] release_conn = True, chunked = False, body_pos = None, preload_content = True [e2e-llm-inference-service] decode_content = True, response_kw = {}, destination_scheme = None, conn = None [e2e-llm-inference-service] release_this_conn = True, http_tunnel_required = False [e2e-llm-inference-service] err = NameResolutionError("HTTPSConnection(host='acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.c...acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com' ([Errno -2] Name or service not known)") [e2e-llm-inference-service] clean_exit = False [e2e-llm-inference-service] [e2e-llm-inference-service] def urlopen( # type: ignore[override] [e2e-llm-inference-service] self, [e2e-llm-inference-service] method: str, [e2e-llm-inference-service] url: str, [e2e-llm-inference-service] body: _TYPE_BODY | None = None, [e2e-llm-inference-service] headers: typing.Mapping[str, str] | None = None, [e2e-llm-inference-service] retries: Retry | bool | int | None = None, [e2e-llm-inference-service] redirect: bool = True, [e2e-llm-inference-service] assert_same_host: bool = True, [e2e-llm-inference-service] timeout: _TYPE_TIMEOUT = _DEFAULT_TIMEOUT, [e2e-llm-inference-service] pool_timeout: int | None = None, [e2e-llm-inference-service] release_conn: bool | None = None, [e2e-llm-inference-service] chunked: bool = False, [e2e-llm-inference-service] body_pos: _TYPE_BODY_POSITION | None = None, [e2e-llm-inference-service] preload_content: bool = True, [e2e-llm-inference-service] decode_content: bool = True, [e2e-llm-inference-service] **response_kw: typing.Any, [e2e-llm-inference-service] ) -> BaseHTTPResponse: [e2e-llm-inference-service] """ [e2e-llm-inference-service] Get a connection from the pool and perform an HTTP request. This is the [e2e-llm-inference-service] lowest level call for making a request, so you'll need to specify all [e2e-llm-inference-service] the raw details. [e2e-llm-inference-service] [e2e-llm-inference-service] .. note:: [e2e-llm-inference-service] [e2e-llm-inference-service] More commonly, it's appropriate to use a convenience method [e2e-llm-inference-service] such as :meth:`request`. [e2e-llm-inference-service] [e2e-llm-inference-service] .. note:: [e2e-llm-inference-service] [e2e-llm-inference-service] `release_conn` will only behave as expected if [e2e-llm-inference-service] `preload_content=False` because we want to make [e2e-llm-inference-service] `preload_content=False` the default behaviour someday soon without [e2e-llm-inference-service] breaking backwards compatibility. [e2e-llm-inference-service] [e2e-llm-inference-service] :param method: [e2e-llm-inference-service] HTTP request method (such as GET, POST, PUT, etc.) [e2e-llm-inference-service] [e2e-llm-inference-service] :param url: [e2e-llm-inference-service] The URL to perform the request on. [e2e-llm-inference-service] [e2e-llm-inference-service] :param body: [e2e-llm-inference-service] Data to send in the request body, either :class:`str`, :class:`bytes`, [e2e-llm-inference-service] an iterable of :class:`str`/:class:`bytes`, or a file-like object. [e2e-llm-inference-service] [e2e-llm-inference-service] :param headers: [e2e-llm-inference-service] Dictionary of custom headers to send, such as User-Agent, [e2e-llm-inference-service] If-None-Match, etc. If None, pool headers are used. If provided, [e2e-llm-inference-service] these headers completely replace any pool-specific headers. [e2e-llm-inference-service] [e2e-llm-inference-service] :param retries: [e2e-llm-inference-service] Configure the number of retries to allow before raising a [e2e-llm-inference-service] :class:`~urllib3.exceptions.MaxRetryError` exception. [e2e-llm-inference-service] [e2e-llm-inference-service] If ``None`` (default) will retry 3 times, see ``Retry.DEFAULT``. Pass a [e2e-llm-inference-service] :class:`~urllib3.util.retry.Retry` object for fine-grained control [e2e-llm-inference-service] over different types of retries. [e2e-llm-inference-service] Pass an integer number to retry connection errors that many times, [e2e-llm-inference-service] but no other types of errors. Pass zero to never retry. [e2e-llm-inference-service] [e2e-llm-inference-service] If ``False``, then retries are disabled and any exception is raised [e2e-llm-inference-service] immediately. Also, instead of raising a MaxRetryError on redirects, [e2e-llm-inference-service] the redirect response will be returned. [e2e-llm-inference-service] [e2e-llm-inference-service] :type retries: :class:`~urllib3.util.retry.Retry`, False, or an int. [e2e-llm-inference-service] [e2e-llm-inference-service] :param redirect: [e2e-llm-inference-service] If True, automatically handle redirects (status codes 301, 302, [e2e-llm-inference-service] 303, 307, 308). Each redirect counts as a retry. Disabling retries [e2e-llm-inference-service] will disable redirect, too. [e2e-llm-inference-service] [e2e-llm-inference-service] :param assert_same_host: [e2e-llm-inference-service] If ``True``, will make sure that the host of the pool requests is [e2e-llm-inference-service] consistent else will raise HostChangedError. When ``False``, you can [e2e-llm-inference-service] use the pool on an HTTP proxy and request foreign hosts. [e2e-llm-inference-service] [e2e-llm-inference-service] :param timeout: [e2e-llm-inference-service] If specified, overrides the default timeout for this one [e2e-llm-inference-service] request. It may be a float (in seconds) or an instance of [e2e-llm-inference-service] :class:`urllib3.util.Timeout`. [e2e-llm-inference-service] [e2e-llm-inference-service] :param pool_timeout: [e2e-llm-inference-service] If set and the pool is set to block=True, then this method will [e2e-llm-inference-service] block for ``pool_timeout`` seconds and raise EmptyPoolError if no [e2e-llm-inference-service] connection is available within the time period. [e2e-llm-inference-service] [e2e-llm-inference-service] :param bool preload_content: [e2e-llm-inference-service] If True, the response's body will be preloaded into memory. [e2e-llm-inference-service] [e2e-llm-inference-service] :param bool decode_content: [e2e-llm-inference-service] If True, will attempt to decode the body based on the [e2e-llm-inference-service] 'content-encoding' header. [e2e-llm-inference-service] [e2e-llm-inference-service] :param release_conn: [e2e-llm-inference-service] If False, then the urlopen call will not release the connection [e2e-llm-inference-service] back into the pool once a response is received (but will release if [e2e-llm-inference-service] you read the entire contents of the response such as when [e2e-llm-inference-service] `preload_content=True`). This is useful if you're not preloading [e2e-llm-inference-service] the response's content immediately. You will need to call [e2e-llm-inference-service] ``r.release_conn()`` on the response ``r`` to return the connection [e2e-llm-inference-service] back into the pool. If None, it takes the value of ``preload_content`` [e2e-llm-inference-service] which defaults to ``True``. [e2e-llm-inference-service] [e2e-llm-inference-service] :param bool chunked: [e2e-llm-inference-service] If True, urllib3 will send the body using chunked transfer [e2e-llm-inference-service] encoding. Otherwise, urllib3 will send the body using the standard [e2e-llm-inference-service] content-length form. Defaults to False. [e2e-llm-inference-service] [e2e-llm-inference-service] :param int body_pos: [e2e-llm-inference-service] Position to seek to in file-like body in the event of a retry or [e2e-llm-inference-service] redirect. Typically this won't need to be set because urllib3 will [e2e-llm-inference-service] auto-populate the value when needed. [e2e-llm-inference-service] """ [e2e-llm-inference-service] # Ensure that the URL we're connecting to is properly encoded [e2e-llm-inference-service] if url.startswith("/"): [e2e-llm-inference-service] # URLs starting with / are inherently schemeless. [e2e-llm-inference-service] url = to_str(_encode_target(url)) [e2e-llm-inference-service] destination_scheme = None [e2e-llm-inference-service] else: [e2e-llm-inference-service] parsed_url = parse_url(url) [e2e-llm-inference-service] destination_scheme = parsed_url.scheme [e2e-llm-inference-service] url = to_str(parsed_url.url) [e2e-llm-inference-service] [e2e-llm-inference-service] if headers is None: [e2e-llm-inference-service] headers = self.headers [e2e-llm-inference-service] [e2e-llm-inference-service] if not isinstance(retries, Retry): [e2e-llm-inference-service] retries = Retry.from_int(retries, redirect=redirect, default=self.retries) [e2e-llm-inference-service] [e2e-llm-inference-service] if release_conn is None: [e2e-llm-inference-service] release_conn = preload_content [e2e-llm-inference-service] [e2e-llm-inference-service] # Check host [e2e-llm-inference-service] if assert_same_host and not self.is_same_host(url): [e2e-llm-inference-service] raise HostChangedError(self, url, retries) [e2e-llm-inference-service] [e2e-llm-inference-service] conn = None [e2e-llm-inference-service] [e2e-llm-inference-service] # Track whether `conn` needs to be released before [e2e-llm-inference-service] # returning/raising/recursing. Update this variable if necessary, and [e2e-llm-inference-service] # leave `release_conn` constant throughout the function. That way, if [e2e-llm-inference-service] # the function recurses, the original value of `release_conn` will be [e2e-llm-inference-service] # passed down into the recursive call, and its value will be respected. [e2e-llm-inference-service] # [e2e-llm-inference-service] # See issue #651 [1] for details. [e2e-llm-inference-service] # [e2e-llm-inference-service] # [1] [e2e-llm-inference-service] release_this_conn = release_conn [e2e-llm-inference-service] [e2e-llm-inference-service] http_tunnel_required = connection_requires_http_tunnel( [e2e-llm-inference-service] self.proxy, self.proxy_config, destination_scheme [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] # Merge the proxy headers. Only done when not using HTTP CONNECT. We [e2e-llm-inference-service] # have to copy the headers dict so we can safely change it without those [e2e-llm-inference-service] # changes being reflected in anyone else's copy. [e2e-llm-inference-service] if not http_tunnel_required: [e2e-llm-inference-service] headers = headers.copy() # type: ignore[attr-defined] [e2e-llm-inference-service] headers.update(self.proxy_headers) # type: ignore[union-attr] [e2e-llm-inference-service] [e2e-llm-inference-service] # Must keep the exception bound to a separate variable or else Python 3 [e2e-llm-inference-service] # complains about UnboundLocalError. [e2e-llm-inference-service] err = None [e2e-llm-inference-service] [e2e-llm-inference-service] # Keep track of whether we cleanly exited the except block. This [e2e-llm-inference-service] # ensures we do proper cleanup in finally. [e2e-llm-inference-service] clean_exit = False [e2e-llm-inference-service] [e2e-llm-inference-service] # Rewind body position, if needed. Record current position [e2e-llm-inference-service] # for future rewinds in the event of a redirect/retry. [e2e-llm-inference-service] body_pos = set_file_position(body, body_pos) [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] # Request a connection from the queue. [e2e-llm-inference-service] timeout_obj = self._get_timeout(timeout) [e2e-llm-inference-service] conn = self._get_conn(timeout=pool_timeout) [e2e-llm-inference-service] [e2e-llm-inference-service] conn.timeout = timeout_obj.connect_timeout # type: ignore[assignment] [e2e-llm-inference-service] [e2e-llm-inference-service] # Is this a closed/new connection that requires CONNECT tunnelling? [e2e-llm-inference-service] if self.proxy is not None and http_tunnel_required and conn.is_closed: [e2e-llm-inference-service] try: [e2e-llm-inference-service] self._prepare_proxy(conn) [e2e-llm-inference-service] except (BaseSSLError, OSError, SocketTimeout) as e: [e2e-llm-inference-service] self._raise_timeout( [e2e-llm-inference-service] err=e, url=self.proxy.url, timeout_value=conn.timeout [e2e-llm-inference-service] ) [e2e-llm-inference-service] raise [e2e-llm-inference-service] [e2e-llm-inference-service] # If we're going to release the connection in ``finally:``, then [e2e-llm-inference-service] # the response doesn't need to know about the connection. Otherwise [e2e-llm-inference-service] # it will also try to release it and we'll have a double-release [e2e-llm-inference-service] # mess. [e2e-llm-inference-service] response_conn = conn if not release_conn else None [e2e-llm-inference-service] [e2e-llm-inference-service] # Make the request on the HTTPConnection object [e2e-llm-inference-service] response = self._make_request( [e2e-llm-inference-service] conn, [e2e-llm-inference-service] method, [e2e-llm-inference-service] url, [e2e-llm-inference-service] timeout=timeout_obj, [e2e-llm-inference-service] body=body, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] chunked=chunked, [e2e-llm-inference-service] retries=retries, [e2e-llm-inference-service] response_conn=response_conn, [e2e-llm-inference-service] preload_content=preload_content, [e2e-llm-inference-service] decode_content=decode_content, [e2e-llm-inference-service] **response_kw, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] # Everything went great! [e2e-llm-inference-service] clean_exit = True [e2e-llm-inference-service] [e2e-llm-inference-service] except EmptyPoolError: [e2e-llm-inference-service] # Didn't get a connection from the pool, no need to clean up [e2e-llm-inference-service] clean_exit = True [e2e-llm-inference-service] release_this_conn = False [e2e-llm-inference-service] raise [e2e-llm-inference-service] [e2e-llm-inference-service] except ( [e2e-llm-inference-service] TimeoutError, [e2e-llm-inference-service] HTTPException, [e2e-llm-inference-service] OSError, [e2e-llm-inference-service] ProtocolError, [e2e-llm-inference-service] BaseSSLError, [e2e-llm-inference-service] SSLError, [e2e-llm-inference-service] CertificateError, [e2e-llm-inference-service] ProxyError, [e2e-llm-inference-service] ) as e: [e2e-llm-inference-service] # Discard the connection for these exceptions. It will be [e2e-llm-inference-service] # replaced during the next _get_conn() call. [e2e-llm-inference-service] clean_exit = False [e2e-llm-inference-service] new_e: Exception = e [e2e-llm-inference-service] if isinstance(e, (BaseSSLError, CertificateError)): [e2e-llm-inference-service] new_e = SSLError(e) [e2e-llm-inference-service] if isinstance( [e2e-llm-inference-service] new_e, [e2e-llm-inference-service] ( [e2e-llm-inference-service] OSError, [e2e-llm-inference-service] NewConnectionError, [e2e-llm-inference-service] TimeoutError, [e2e-llm-inference-service] SSLError, [e2e-llm-inference-service] HTTPException, [e2e-llm-inference-service] ), [e2e-llm-inference-service] ) and (conn and conn.proxy and not conn.has_connected_to_proxy): [e2e-llm-inference-service] new_e = _wrap_proxy_error(new_e, conn.proxy.scheme) [e2e-llm-inference-service] elif isinstance(new_e, (OSError, HTTPException)): [e2e-llm-inference-service] new_e = ProtocolError("Connection aborted.", new_e) [e2e-llm-inference-service] [e2e-llm-inference-service] retries = retries.increment( [e2e-llm-inference-service] method, url, error=new_e, _pool=self, _stacktrace=sys.exc_info()[2] [e2e-llm-inference-service] ) [e2e-llm-inference-service] retries.sleep() [e2e-llm-inference-service] [e2e-llm-inference-service] # Keep track of the error for the retry warning. [e2e-llm-inference-service] err = e [e2e-llm-inference-service] [e2e-llm-inference-service] finally: [e2e-llm-inference-service] if not clean_exit: [e2e-llm-inference-service] # We hit some kind of exception, handled or otherwise. We need [e2e-llm-inference-service] # to throw the connection away unless explicitly told not to. [e2e-llm-inference-service] # Close the connection, set the variable to None, and make sure [e2e-llm-inference-service] # we put the None back in the pool to avoid leaking it. [e2e-llm-inference-service] if conn: [e2e-llm-inference-service] conn.close() [e2e-llm-inference-service] conn = None [e2e-llm-inference-service] release_this_conn = True [e2e-llm-inference-service] [e2e-llm-inference-service] if release_this_conn: [e2e-llm-inference-service] # Put the connection back to be reused. If the connection is [e2e-llm-inference-service] # expired then it will be None, which will get replaced with a [e2e-llm-inference-service] # fresh connection during _get_conn. [e2e-llm-inference-service] self._put_conn(conn) [e2e-llm-inference-service] [e2e-llm-inference-service] if not conn: [e2e-llm-inference-service] # Try again [e2e-llm-inference-service] log.warning( [e2e-llm-inference-service] "Retrying (%r) after connection broken by '%r': %s", retries, err, url [e2e-llm-inference-service] ) [e2e-llm-inference-service] > return self.urlopen( [e2e-llm-inference-service] method, [e2e-llm-inference-service] url, [e2e-llm-inference-service] body, [e2e-llm-inference-service] headers, [e2e-llm-inference-service] retries, [e2e-llm-inference-service] redirect, [e2e-llm-inference-service] assert_same_host, [e2e-llm-inference-service] timeout=timeout, [e2e-llm-inference-service] pool_timeout=pool_timeout, [e2e-llm-inference-service] release_conn=release_conn, [e2e-llm-inference-service] chunked=chunked, [e2e-llm-inference-service] body_pos=body_pos, [e2e-llm-inference-service] preload_content=preload_content, [e2e-llm-inference-service] decode_content=decode_content, [e2e-llm-inference-service] **response_kw, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:872: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] method = 'GET' [e2e-llm-inference-service] url = '/api/v1/namespaces/e2e-test-prestop-hook-22727e61/pods?labelSelector=app.kubernetes.io%2Fname%3Dprestop-hook-test%2Ckserve.io%2Fcomponent%3Dworkload' [e2e-llm-inference-service] body = None [e2e-llm-inference-service] headers = {'Accept': 'application/json', 'Content-Type': 'application/json', 'User-Agent': 'OpenAPI-Generator/32.0.1/python'} [e2e-llm-inference-service] retries = Retry(total=0, connect=None, read=None, redirect=None, status=None) [e2e-llm-inference-service] redirect = False, assert_same_host = False, timeout = None, pool_timeout = None [e2e-llm-inference-service] release_conn = True, chunked = False, body_pos = None, preload_content = True [e2e-llm-inference-service] decode_content = True, response_kw = {}, destination_scheme = None, conn = None [e2e-llm-inference-service] release_this_conn = True, http_tunnel_required = False, err = None [e2e-llm-inference-service] clean_exit = False [e2e-llm-inference-service] [e2e-llm-inference-service] def urlopen( # type: ignore[override] [e2e-llm-inference-service] self, [e2e-llm-inference-service] method: str, [e2e-llm-inference-service] url: str, [e2e-llm-inference-service] body: _TYPE_BODY | None = None, [e2e-llm-inference-service] headers: typing.Mapping[str, str] | None = None, [e2e-llm-inference-service] retries: Retry | bool | int | None = None, [e2e-llm-inference-service] redirect: bool = True, [e2e-llm-inference-service] assert_same_host: bool = True, [e2e-llm-inference-service] timeout: _TYPE_TIMEOUT = _DEFAULT_TIMEOUT, [e2e-llm-inference-service] pool_timeout: int | None = None, [e2e-llm-inference-service] release_conn: bool | None = None, [e2e-llm-inference-service] chunked: bool = False, [e2e-llm-inference-service] body_pos: _TYPE_BODY_POSITION | None = None, [e2e-llm-inference-service] preload_content: bool = True, [e2e-llm-inference-service] decode_content: bool = True, [e2e-llm-inference-service] **response_kw: typing.Any, [e2e-llm-inference-service] ) -> BaseHTTPResponse: [e2e-llm-inference-service] """ [e2e-llm-inference-service] Get a connection from the pool and perform an HTTP request. This is the [e2e-llm-inference-service] lowest level call for making a request, so you'll need to specify all [e2e-llm-inference-service] the raw details. [e2e-llm-inference-service] [e2e-llm-inference-service] .. note:: [e2e-llm-inference-service] [e2e-llm-inference-service] More commonly, it's appropriate to use a convenience method [e2e-llm-inference-service] such as :meth:`request`. [e2e-llm-inference-service] [e2e-llm-inference-service] .. note:: [e2e-llm-inference-service] [e2e-llm-inference-service] `release_conn` will only behave as expected if [e2e-llm-inference-service] `preload_content=False` because we want to make [e2e-llm-inference-service] `preload_content=False` the default behaviour someday soon without [e2e-llm-inference-service] breaking backwards compatibility. [e2e-llm-inference-service] [e2e-llm-inference-service] :param method: [e2e-llm-inference-service] HTTP request method (such as GET, POST, PUT, etc.) [e2e-llm-inference-service] [e2e-llm-inference-service] :param url: [e2e-llm-inference-service] The URL to perform the request on. [e2e-llm-inference-service] [e2e-llm-inference-service] :param body: [e2e-llm-inference-service] Data to send in the request body, either :class:`str`, :class:`bytes`, [e2e-llm-inference-service] an iterable of :class:`str`/:class:`bytes`, or a file-like object. [e2e-llm-inference-service] [e2e-llm-inference-service] :param headers: [e2e-llm-inference-service] Dictionary of custom headers to send, such as User-Agent, [e2e-llm-inference-service] If-None-Match, etc. If None, pool headers are used. If provided, [e2e-llm-inference-service] these headers completely replace any pool-specific headers. [e2e-llm-inference-service] [e2e-llm-inference-service] :param retries: [e2e-llm-inference-service] Configure the number of retries to allow before raising a [e2e-llm-inference-service] :class:`~urllib3.exceptions.MaxRetryError` exception. [e2e-llm-inference-service] [e2e-llm-inference-service] If ``None`` (default) will retry 3 times, see ``Retry.DEFAULT``. Pass a [e2e-llm-inference-service] :class:`~urllib3.util.retry.Retry` object for fine-grained control [e2e-llm-inference-service] over different types of retries. [e2e-llm-inference-service] Pass an integer number to retry connection errors that many times, [e2e-llm-inference-service] but no other types of errors. Pass zero to never retry. [e2e-llm-inference-service] [e2e-llm-inference-service] If ``False``, then retries are disabled and any exception is raised [e2e-llm-inference-service] immediately. Also, instead of raising a MaxRetryError on redirects, [e2e-llm-inference-service] the redirect response will be returned. [e2e-llm-inference-service] [e2e-llm-inference-service] :type retries: :class:`~urllib3.util.retry.Retry`, False, or an int. [e2e-llm-inference-service] [e2e-llm-inference-service] :param redirect: [e2e-llm-inference-service] If True, automatically handle redirects (status codes 301, 302, [e2e-llm-inference-service] 303, 307, 308). Each redirect counts as a retry. Disabling retries [e2e-llm-inference-service] will disable redirect, too. [e2e-llm-inference-service] [e2e-llm-inference-service] :param assert_same_host: [e2e-llm-inference-service] If ``True``, will make sure that the host of the pool requests is [e2e-llm-inference-service] consistent else will raise HostChangedError. When ``False``, you can [e2e-llm-inference-service] use the pool on an HTTP proxy and request foreign hosts. [e2e-llm-inference-service] [e2e-llm-inference-service] :param timeout: [e2e-llm-inference-service] If specified, overrides the default timeout for this one [e2e-llm-inference-service] request. It may be a float (in seconds) or an instance of [e2e-llm-inference-service] :class:`urllib3.util.Timeout`. [e2e-llm-inference-service] [e2e-llm-inference-service] :param pool_timeout: [e2e-llm-inference-service] If set and the pool is set to block=True, then this method will [e2e-llm-inference-service] block for ``pool_timeout`` seconds and raise EmptyPoolError if no [e2e-llm-inference-service] connection is available within the time period. [e2e-llm-inference-service] [e2e-llm-inference-service] :param bool preload_content: [e2e-llm-inference-service] If True, the response's body will be preloaded into memory. [e2e-llm-inference-service] [e2e-llm-inference-service] :param bool decode_content: [e2e-llm-inference-service] If True, will attempt to decode the body based on the [e2e-llm-inference-service] 'content-encoding' header. [e2e-llm-inference-service] [e2e-llm-inference-service] :param release_conn: [e2e-llm-inference-service] If False, then the urlopen call will not release the connection [e2e-llm-inference-service] back into the pool once a response is received (but will release if [e2e-llm-inference-service] you read the entire contents of the response such as when [e2e-llm-inference-service] `preload_content=True`). This is useful if you're not preloading [e2e-llm-inference-service] the response's content immediately. You will need to call [e2e-llm-inference-service] ``r.release_conn()`` on the response ``r`` to return the connection [e2e-llm-inference-service] back into the pool. If None, it takes the value of ``preload_content`` [e2e-llm-inference-service] which defaults to ``True``. [e2e-llm-inference-service] [e2e-llm-inference-service] :param bool chunked: [e2e-llm-inference-service] If True, urllib3 will send the body using chunked transfer [e2e-llm-inference-service] encoding. Otherwise, urllib3 will send the body using the standard [e2e-llm-inference-service] content-length form. Defaults to False. [e2e-llm-inference-service] [e2e-llm-inference-service] :param int body_pos: [e2e-llm-inference-service] Position to seek to in file-like body in the event of a retry or [e2e-llm-inference-service] redirect. Typically this won't need to be set because urllib3 will [e2e-llm-inference-service] auto-populate the value when needed. [e2e-llm-inference-service] """ [e2e-llm-inference-service] # Ensure that the URL we're connecting to is properly encoded [e2e-llm-inference-service] if url.startswith("/"): [e2e-llm-inference-service] # URLs starting with / are inherently schemeless. [e2e-llm-inference-service] url = to_str(_encode_target(url)) [e2e-llm-inference-service] destination_scheme = None [e2e-llm-inference-service] else: [e2e-llm-inference-service] parsed_url = parse_url(url) [e2e-llm-inference-service] destination_scheme = parsed_url.scheme [e2e-llm-inference-service] url = to_str(parsed_url.url) [e2e-llm-inference-service] [e2e-llm-inference-service] if headers is None: [e2e-llm-inference-service] headers = self.headers [e2e-llm-inference-service] [e2e-llm-inference-service] if not isinstance(retries, Retry): [e2e-llm-inference-service] retries = Retry.from_int(retries, redirect=redirect, default=self.retries) [e2e-llm-inference-service] [e2e-llm-inference-service] if release_conn is None: [e2e-llm-inference-service] release_conn = preload_content [e2e-llm-inference-service] [e2e-llm-inference-service] # Check host [e2e-llm-inference-service] if assert_same_host and not self.is_same_host(url): [e2e-llm-inference-service] raise HostChangedError(self, url, retries) [e2e-llm-inference-service] [e2e-llm-inference-service] conn = None [e2e-llm-inference-service] [e2e-llm-inference-service] # Track whether `conn` needs to be released before [e2e-llm-inference-service] # returning/raising/recursing. Update this variable if necessary, and [e2e-llm-inference-service] # leave `release_conn` constant throughout the function. That way, if [e2e-llm-inference-service] # the function recurses, the original value of `release_conn` will be [e2e-llm-inference-service] # passed down into the recursive call, and its value will be respected. [e2e-llm-inference-service] # [e2e-llm-inference-service] # See issue #651 [1] for details. [e2e-llm-inference-service] # [e2e-llm-inference-service] # [1] [e2e-llm-inference-service] release_this_conn = release_conn [e2e-llm-inference-service] [e2e-llm-inference-service] http_tunnel_required = connection_requires_http_tunnel( [e2e-llm-inference-service] self.proxy, self.proxy_config, destination_scheme [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] # Merge the proxy headers. Only done when not using HTTP CONNECT. We [e2e-llm-inference-service] # have to copy the headers dict so we can safely change it without those [e2e-llm-inference-service] # changes being reflected in anyone else's copy. [e2e-llm-inference-service] if not http_tunnel_required: [e2e-llm-inference-service] headers = headers.copy() # type: ignore[attr-defined] [e2e-llm-inference-service] headers.update(self.proxy_headers) # type: ignore[union-attr] [e2e-llm-inference-service] [e2e-llm-inference-service] # Must keep the exception bound to a separate variable or else Python 3 [e2e-llm-inference-service] # complains about UnboundLocalError. [e2e-llm-inference-service] err = None [e2e-llm-inference-service] [e2e-llm-inference-service] # Keep track of whether we cleanly exited the except block. This [e2e-llm-inference-service] # ensures we do proper cleanup in finally. [e2e-llm-inference-service] clean_exit = False [e2e-llm-inference-service] [e2e-llm-inference-service] # Rewind body position, if needed. Record current position [e2e-llm-inference-service] # for future rewinds in the event of a redirect/retry. [e2e-llm-inference-service] body_pos = set_file_position(body, body_pos) [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] # Request a connection from the queue. [e2e-llm-inference-service] timeout_obj = self._get_timeout(timeout) [e2e-llm-inference-service] conn = self._get_conn(timeout=pool_timeout) [e2e-llm-inference-service] [e2e-llm-inference-service] conn.timeout = timeout_obj.connect_timeout # type: ignore[assignment] [e2e-llm-inference-service] [e2e-llm-inference-service] # Is this a closed/new connection that requires CONNECT tunnelling? [e2e-llm-inference-service] if self.proxy is not None and http_tunnel_required and conn.is_closed: [e2e-llm-inference-service] try: [e2e-llm-inference-service] self._prepare_proxy(conn) [e2e-llm-inference-service] except (BaseSSLError, OSError, SocketTimeout) as e: [e2e-llm-inference-service] self._raise_timeout( [e2e-llm-inference-service] err=e, url=self.proxy.url, timeout_value=conn.timeout [e2e-llm-inference-service] ) [e2e-llm-inference-service] raise [e2e-llm-inference-service] [e2e-llm-inference-service] # If we're going to release the connection in ``finally:``, then [e2e-llm-inference-service] # the response doesn't need to know about the connection. Otherwise [e2e-llm-inference-service] # it will also try to release it and we'll have a double-release [e2e-llm-inference-service] # mess. [e2e-llm-inference-service] response_conn = conn if not release_conn else None [e2e-llm-inference-service] [e2e-llm-inference-service] # Make the request on the HTTPConnection object [e2e-llm-inference-service] response = self._make_request( [e2e-llm-inference-service] conn, [e2e-llm-inference-service] method, [e2e-llm-inference-service] url, [e2e-llm-inference-service] timeout=timeout_obj, [e2e-llm-inference-service] body=body, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] chunked=chunked, [e2e-llm-inference-service] retries=retries, [e2e-llm-inference-service] response_conn=response_conn, [e2e-llm-inference-service] preload_content=preload_content, [e2e-llm-inference-service] decode_content=decode_content, [e2e-llm-inference-service] **response_kw, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] # Everything went great! [e2e-llm-inference-service] clean_exit = True [e2e-llm-inference-service] [e2e-llm-inference-service] except EmptyPoolError: [e2e-llm-inference-service] # Didn't get a connection from the pool, no need to clean up [e2e-llm-inference-service] clean_exit = True [e2e-llm-inference-service] release_this_conn = False [e2e-llm-inference-service] raise [e2e-llm-inference-service] [e2e-llm-inference-service] except ( [e2e-llm-inference-service] TimeoutError, [e2e-llm-inference-service] HTTPException, [e2e-llm-inference-service] OSError, [e2e-llm-inference-service] ProtocolError, [e2e-llm-inference-service] BaseSSLError, [e2e-llm-inference-service] SSLError, [e2e-llm-inference-service] CertificateError, [e2e-llm-inference-service] ProxyError, [e2e-llm-inference-service] ) as e: [e2e-llm-inference-service] # Discard the connection for these exceptions. It will be [e2e-llm-inference-service] # replaced during the next _get_conn() call. [e2e-llm-inference-service] clean_exit = False [e2e-llm-inference-service] new_e: Exception = e [e2e-llm-inference-service] if isinstance(e, (BaseSSLError, CertificateError)): [e2e-llm-inference-service] new_e = SSLError(e) [e2e-llm-inference-service] if isinstance( [e2e-llm-inference-service] new_e, [e2e-llm-inference-service] ( [e2e-llm-inference-service] OSError, [e2e-llm-inference-service] NewConnectionError, [e2e-llm-inference-service] TimeoutError, [e2e-llm-inference-service] SSLError, [e2e-llm-inference-service] HTTPException, [e2e-llm-inference-service] ), [e2e-llm-inference-service] ) and (conn and conn.proxy and not conn.has_connected_to_proxy): [e2e-llm-inference-service] new_e = _wrap_proxy_error(new_e, conn.proxy.scheme) [e2e-llm-inference-service] elif isinstance(new_e, (OSError, HTTPException)): [e2e-llm-inference-service] new_e = ProtocolError("Connection aborted.", new_e) [e2e-llm-inference-service] [e2e-llm-inference-service] > retries = retries.increment( [e2e-llm-inference-service] method, url, error=new_e, _pool=self, _stacktrace=sys.exc_info()[2] [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:842: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = Retry(total=0, connect=None, read=None, redirect=None, status=None) [e2e-llm-inference-service] method = 'GET' [e2e-llm-inference-service] url = '/api/v1/namespaces/e2e-test-prestop-hook-22727e61/pods?labelSelector=app.kubernetes.io%2Fname%3Dprestop-hook-test%2Ckserve.io%2Fcomponent%3Dworkload' [e2e-llm-inference-service] response = None [e2e-llm-inference-service] error = NameResolutionError("HTTPSConnection(host='acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.c...acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com' ([Errno -2] Name or service not known)") [e2e-llm-inference-service] _pool = [e2e-llm-inference-service] _stacktrace = [e2e-llm-inference-service] [e2e-llm-inference-service] def increment( [e2e-llm-inference-service] self, [e2e-llm-inference-service] method: str | None = None, [e2e-llm-inference-service] url: str | None = None, [e2e-llm-inference-service] response: BaseHTTPResponse | None = None, [e2e-llm-inference-service] error: Exception | None = None, [e2e-llm-inference-service] _pool: ConnectionPool | None = None, [e2e-llm-inference-service] _stacktrace: TracebackType | None = None, [e2e-llm-inference-service] ) -> Self: [e2e-llm-inference-service] """Return a new Retry object with incremented retry counters. [e2e-llm-inference-service] [e2e-llm-inference-service] :param response: A response object, or None, if the server did not [e2e-llm-inference-service] return a response. [e2e-llm-inference-service] :type response: :class:`~urllib3.response.BaseHTTPResponse` [e2e-llm-inference-service] :param Exception error: An error encountered during the request, or [e2e-llm-inference-service] None if the response was received successfully. [e2e-llm-inference-service] [e2e-llm-inference-service] :return: A new ``Retry`` object. [e2e-llm-inference-service] """ [e2e-llm-inference-service] if self.total is False and error: [e2e-llm-inference-service] # Disabled, indicate to re-raise the error. [e2e-llm-inference-service] raise reraise(type(error), error, _stacktrace) [e2e-llm-inference-service] [e2e-llm-inference-service] total = self.total [e2e-llm-inference-service] if total is not None: [e2e-llm-inference-service] total -= 1 [e2e-llm-inference-service] [e2e-llm-inference-service] connect = self.connect [e2e-llm-inference-service] read = self.read [e2e-llm-inference-service] redirect = self.redirect [e2e-llm-inference-service] status_count = self.status [e2e-llm-inference-service] other = self.other [e2e-llm-inference-service] cause = "unknown" [e2e-llm-inference-service] status = None [e2e-llm-inference-service] redirect_location = None [e2e-llm-inference-service] [e2e-llm-inference-service] if error and self._is_connection_error(error): [e2e-llm-inference-service] # Connect retry? [e2e-llm-inference-service] if connect is False: [e2e-llm-inference-service] raise reraise(type(error), error, _stacktrace) [e2e-llm-inference-service] elif connect is not None: [e2e-llm-inference-service] connect -= 1 [e2e-llm-inference-service] [e2e-llm-inference-service] elif error and self._is_read_error(error): [e2e-llm-inference-service] # Read retry? [e2e-llm-inference-service] if read is False or method is None or not self._is_method_retryable(method): [e2e-llm-inference-service] raise reraise(type(error), error, _stacktrace) [e2e-llm-inference-service] elif read is not None: [e2e-llm-inference-service] read -= 1 [e2e-llm-inference-service] [e2e-llm-inference-service] elif error: [e2e-llm-inference-service] # Other retry? [e2e-llm-inference-service] if other is not None: [e2e-llm-inference-service] other -= 1 [e2e-llm-inference-service] [e2e-llm-inference-service] elif response and response.get_redirect_location(): [e2e-llm-inference-service] # Redirect retry? [e2e-llm-inference-service] if redirect is not None: [e2e-llm-inference-service] redirect -= 1 [e2e-llm-inference-service] cause = "too many redirects" [e2e-llm-inference-service] response_redirect_location = response.get_redirect_location() [e2e-llm-inference-service] if response_redirect_location: [e2e-llm-inference-service] redirect_location = response_redirect_location [e2e-llm-inference-service] status = response.status [e2e-llm-inference-service] [e2e-llm-inference-service] else: [e2e-llm-inference-service] # Incrementing because of a server error like a 500 in [e2e-llm-inference-service] # status_forcelist and the given method is in the allowed_methods [e2e-llm-inference-service] cause = ResponseError.GENERIC_ERROR [e2e-llm-inference-service] if response and response.status: [e2e-llm-inference-service] if status_count is not None: [e2e-llm-inference-service] status_count -= 1 [e2e-llm-inference-service] cause = ResponseError.SPECIFIC_ERROR.format(status_code=response.status) [e2e-llm-inference-service] status = response.status [e2e-llm-inference-service] [e2e-llm-inference-service] history = self.history + ( [e2e-llm-inference-service] RequestHistory(method, url, error, status, redirect_location), [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] new_retry = self.new( [e2e-llm-inference-service] total=total, [e2e-llm-inference-service] connect=connect, [e2e-llm-inference-service] read=read, [e2e-llm-inference-service] redirect=redirect, [e2e-llm-inference-service] status=status_count, [e2e-llm-inference-service] other=other, [e2e-llm-inference-service] history=history, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] if new_retry.is_exhausted(): [e2e-llm-inference-service] reason = error or ResponseError(cause) [e2e-llm-inference-service] > raise MaxRetryError(_pool, url, reason) from reason # type: ignore[arg-type] [e2e-llm-inference-service] E urllib3.exceptions.MaxRetryError: HTTPSConnectionPool(host='acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com', port=6443): Max retries exceeded with url: /api/v1/namespaces/e2e-test-prestop-hook-22727e61/pods?labelSelector=app.kubernetes.io%2Fname%3Dprestop-hook-test%2Ckserve.io%2Fcomponent%3Dworkload (Caused by NameResolutionError("HTTPSConnection(host='acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com', port=6443): Failed to resolve 'acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com' ([Errno -2] Name or service not known)")) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/util/retry.py:543: MaxRetryError [e2e-llm-inference-service] ------------------------------ Captured log setup ------------------------------ [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1769 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.namespace:namespace.py:82 Created test namespace e2e-test-prestop-hook-22727e61 [e2e-llm-inference-service] INFO e2e.llmisvc.namespace:namespace.py:131 Copied secret seaweedfs-s3-creds from kserve-ci-e2e-test to e2e-test-prestop-hook-22727e61 [e2e-llm-inference-service] INFO e2e.llmisvc.namespace:namespace.py:131 Copied secret storage-config from kserve-ci-e2e-test to e2e-test-prestop-hook-22727e61 [e2e-llm-inference-service] INFO e2e.llmisvc.namespace:namespace.py:178 Patched default SA in e2e-test-prestop-hook-22727e61 with secret seaweedfs-s3-creds [e2e-llm-inference-service] INFO e2e.llmisvc.namespace:namespace.py:162 ConfigMap odh-kserve-custom-ca-bundle already exists in e2e-test-prestop-hook-22727e61 [e2e-llm-inference-service] INFO e2e.llmisvc.namespace:namespace.py:159 Copied ConfigMap odh-trusted-ca-bundle from kserve-ci-e2e-test to e2e-test-prestop-hook-22727e61 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1769 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1718 Checking LLMInferenceServiceConfig router-managed-prestop-hook-tes-667dca99 in namespace e2e-test-prestop-hook-22727e61 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1744 Resource not found, creating LLMInferenceServiceConfig router-managed-prestop-hook-tes-667dca99 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1754 ✓ Successfully created LLMInferenceServiceConfig router-managed-prestop-hook-tes-667dca99 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1718 Checking LLMInferenceServiceConfig workload-single-cpu-prestop-hoo-66c41342 in namespace e2e-test-prestop-hook-22727e61 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1744 Resource not found, creating LLMInferenceServiceConfig workload-single-cpu-prestop-hoo-66c41342 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1754 ✓ Successfully created LLMInferenceServiceConfig workload-single-cpu-prestop-hoo-66c41342 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1718 Checking LLMInferenceServiceConfig model-fb-opt-125m-prestop-hook-584a80fb in namespace e2e-test-prestop-hook-22727e61 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1744 Resource not found, creating LLMInferenceServiceConfig model-fb-opt-125m-prestop-hook-584a80fb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1754 ✓ Successfully created LLMInferenceServiceConfig model-fb-opt-125m-prestop-hook-584a80fb [e2e-llm-inference-service] ------------------------------ Captured log call ------------------------------- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [test_prestop_hook] [2026-07-28T18:58:46.267252] start - args=(), kwargs={'test_case': TestCase(base_refs=['router-managed', 'workload-single-cpu', 'model-fb-opt-125m'], prompt='KServe is a', service_name='prestop-hook-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, namespace='e2e-test-prestop-hook-22727e61', 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': 'prestop-hook-test', [e2e-llm-inference-service] 'namespace': 'e2e-test-prestop-hook-22727e61', [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-prestop-hook-tes-667dca99'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-prestop-hoo-66c41342'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-prestop-hook-584a80fb'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m')} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1769 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [create_llmisvc] [2026-07-28T18:58:46.279627] 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': 'prestop-hook-test', [e2e-llm-inference-service] 'namespace': 'e2e-test-prestop-hook-22727e61', [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-prestop-hook-tes-667dca99'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-prestop-hoo-66c41342'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-prestop-hook-584a80fb'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [create_llmisvc] [2026-07-28T18:58:46.630908] end - ✅ in 0.351s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [wait_for_workload_pod_running] [2026-07-28T18:58:46.631041] start - args=('e2e-test-prestop-hook-22727e61', 'prestop-hook-test'), kwargs={'timeout_seconds': 900} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1394 Waiting: No Running pods found for app.kubernetes.io/name=prestop-hook-test,kserve.io/component=workload in e2e-test-prestop-hook-22727e61 [e2e-llm-inference-service] assert [] [e2e-llm-inference-service] WARNING urllib3.connectionpool:connectionpool.py:869 Retrying (Retry(total=2, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ConnectionResetError(104, 'Connection reset by peer')': /api/v1/namespaces/e2e-test-prestop-hook-22727e61/pods?labelSelector=app.kubernetes.io%2Fname%3Dprestop-hook-test%2Ckserve.io%2Fcomponent%3Dworkload [e2e-llm-inference-service] WARNING urllib3.connectionpool:connectionpool.py:869 Retrying (Retry(total=1, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ConnectTimeoutError(, 'Connection to acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com timed out. (connect timeout=None)')': /api/v1/namespaces/e2e-test-prestop-hook-22727e61/pods?labelSelector=app.kubernetes.io%2Fname%3Dprestop-hook-test%2Ckserve.io%2Fcomponent%3Dworkload [e2e-llm-inference-service] WARNING urllib3.connectionpool:connectionpool.py:869 Retrying (Retry(total=0, connect=None, read=None, redirect=None, status=None)) after connection broken by 'NameResolutionError("HTTPSConnection(host='acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com', port=6443): Failed to resolve 'acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com' ([Errno -2] Name or service not known)")': /api/v1/namespaces/e2e-test-prestop-hook-22727e61/pods?labelSelector=app.kubernetes.io%2Fname%3Dprestop-hook-test%2Ckserve.io%2Fcomponent%3Dworkload [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:logging.py:48 [wait_for_workload_pod_running] [2026-07-28T19:20:00.882354] end - ❌ 1274.251s: HTTPSConnectionPool(host='acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com', port=6443): Max retries exceeded with url: /api/v1/namespaces/e2e-test-prestop-hook-22727e61/pods?labelSelector=app.kubernetes.io%2Fname%3Dprestop-hook-test%2Ckserve.io%2Fcomponent%3Dworkload (Caused by NameResolutionError("HTTPSConnection(host='acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com', port=6443): Failed to resolve 'acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com' ([Errno -2] Name or service not known)")) [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:logging.py:48 [test_prestop_hook] [2026-07-28T19:20:00.882593] end - ❌ 1274.615s: HTTPSConnectionPool(host='acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com', port=6443): Max retries exceeded with url: /api/v1/namespaces/e2e-test-prestop-hook-22727e61/pods?labelSelector=app.kubernetes.io%2Fname%3Dprestop-hook-test%2Ckserve.io%2Fcomponent%3Dworkload (Caused by NameResolutionError("HTTPSConnection(host='acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com', port=6443): Failed to resolve 'acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com' ([Errno -2] Name or service not known)")) [e2e-llm-inference-service] ---------------------------- Captured log teardown ----------------------------- [e2e-llm-inference-service] INFO e2e.llmisvc.conftest:conftest.py:168 Skipping deletion of namespace e2e-test-prestop-hook-22727e61 (SKIP_DELETION_ON_FAILURE) [e2e-llm-inference-service] =============================== warnings summary =============================== [e2e-llm-inference-service] llmisvc/test_flow_control.py::test_flow_control_smoke[cluster_cpu-cluster_single_node-flow-control-utilization-detector] [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] /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_flow_control.py::test_flow_control_smoke[cluster_cpu-cluster_single_node-flow-control-utilization-detector] [e2e-llm-inference-service] llmisvc/test_flow_control.py:47: 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.asyncio(loop_scope="session") [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_flow_control.py::test_flow_control_smoke[cluster_cpu-cluster_single_node-flow-control-concurrency-detector] [e2e-llm-inference-service] llmisvc/test_flow_control.py:47: 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.asyncio(loop_scope="session") [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:243: 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.asyncio(loop_scope="session") [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:243: 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.asyncio(loop_scope="session") [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-inline-config-workload-llmd-simulator] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:243: 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.asyncio(loop_scope="session") [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-simulator-model-qwen2.5-0.5b] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:243: 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.asyncio(loop_scope="session") [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-configmap-ref-workload-llmd-simulator] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:243: 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.asyncio(loop_scope="session") [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-replicas-workload-llmd-simulator] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:243: 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.asyncio(loop_scope="session") [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-custom-template-workload-llmd-simulator] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:243: 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.asyncio(loop_scope="session") [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-v06-pd-config-migration-workload-llmd-simulator-pd] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:243: 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.asyncio(loop_scope="session") [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-v06-nonzero-threshold-migration-workload-llmd-simulator-pd] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:243: 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.asyncio(loop_scope="session") [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-tokenizer-kvcache-workload-llmd-simulator-kvcache] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:243: 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.asyncio(loop_scope="session") [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:243: 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.asyncio(loop_scope="session") [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:243: 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.asyncio(loop_scope="session") [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:243: 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.asyncio(loop_scope="session") [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:243: 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.asyncio(loop_scope="session") [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:243: 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.asyncio(loop_scope="session") [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:243: 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.asyncio(loop_scope="session") [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:243: 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.asyncio(loop_scope="session") [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:243: 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.asyncio(loop_scope="session") [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:243: 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.asyncio(loop_scope="session") [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.asyncio(loop_scope="session") [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:92: 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-llminferenceservice_and_cluster_cpu_and_not_autoscaling_and_not_tracing.xml - [e2e-llm-inference-service] --------------------------------- JSON report ---------------------------------- [e2e-llm-inference-service] report saved to: /workspace/artifacts-dir/e2e_results-llminferenceservice_and_cluster_cpu_and_not_autoscaling_and_not_tracing.json [e2e-llm-inference-service] =========================== short test summary info ============================ [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_llm_auth.py::test_llm_auth_invalid_token_rejected[cluster_cpu-cluster_single_node-auth-invalid-token] [e2e-llm-inference-service] FAILED llmisvc/test_llm_autoscaling_wva.py::test_llm_autoscaling_hpa_deployment[cluster_cpu-cluster_single_node-router-managed-workload-llmd-simulator-no-replicas-prometheus-scrape-scaling-hpa] [e2e-llm-inference-service] FAILED llmisvc/test_llm_autoscaling_wva.py::test_llm_autoscaling_keda_deployment[cluster_cpu-cluster_single_node-router-managed-workload-llmd-simulator-no-replicas-prometheus-scrape-scaling-keda] [e2e-llm-inference-service] FAILED 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] FAILED llmisvc/test_llm_autoscaling_wva.py::test_llm_autoscaling_hpa_lws[cluster_cpu-cluster_multi_node-router-managed-workload-llmd-simulator-lws-prometheus-scrape-scaling-hpa] [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-pvc] [e2e-llm-inference-service] FAILED llmisvc/test_llm_autoscaling_wva.py::test_llm_autoscaling_keda_lws[cluster_cpu-cluster_multi_node-router-managed-workload-llmd-simulator-lws-prometheus-scrape-scaling-keda] [e2e-llm-inference-service] FAILED 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] 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, 37 passed, 3 skipped, 25 warnings, 1 error in 6909.96s (1:55:09) == [must-gather] [must-gather ] OUT 2026-07-28T19:20:03.508677728Z 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] error getting cluster version: Get "https://acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com:6443/apis/config.openshift.io/v1/clusterversions/version": dial tcp: lookup acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com on 172.30.0.10:53: no such host [must-gather] ClusterID: [must-gather] ClientVersion: 4.21.10 [must-gather] ClusterVersion: Installing "" for : [must-gather] error getting cluster operators: Get "https://acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com:6443/apis/config.openshift.io/v1/clusteroperators": dial tcp: lookup acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com on 172.30.0.10:53: no such host [must-gather] ClusterOperators: [must-gather] clusteroperators are missing [must-gather] [must-gather] [must-gather] [must-gather] [must-gather] Error running must-gather collection: [must-gather] creating temp namespace: Post "https://acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com:6443/api/v1/namespaces": dial tcp: lookup acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com on 172.30.0.10:53: no such host [must-gather] [must-gather] Falling back to `oc adm inspect clusterversion.v1.config.openshift.io,clusteroperators.v1.config.openshift.io` to collect basic cluster types. [must-gather] E0728 19:20:03.556336 23 memcache.go:265] "Unhandled Error" err="couldn't get current server API group list: Get \"https://acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com:6443/api?timeout=32s\": dial tcp: lookup acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com on 172.30.0.10:53: no such host" [must-gather] E0728 19:20:03.568546 23 memcache.go:265] "Unhandled Error" err="couldn't get current server API group list: Get \"https://acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com:6443/api?timeout=32s\": dial tcp: lookup acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com on 172.30.0.10:53: no such host" [must-gather] E0728 19:20:03.580910 23 memcache.go:265] "Unhandled Error" err="couldn't get current server API group list: Get \"https://acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com:6443/api?timeout=32s\": dial tcp: lookup acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com on 172.30.0.10:53: no such host" [must-gather] E0728 19:20:03.588451 23 memcache.go:265] "Unhandled Error" err="couldn't get current server API group list: Get \"https://acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com:6443/api?timeout=32s\": dial tcp: lookup acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com on 172.30.0.10:53: no such host" [must-gather] E0728 19:20:03.597349 23 memcache.go:265] "Unhandled Error" err="couldn't get current server API group list: Get \"https://acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com:6443/api?timeout=32s\": dial tcp: lookup acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com on 172.30.0.10:53: no such host" [must-gather] E0728 19:20:03.613841 23 memcache.go:265] "Unhandled Error" err="couldn't get current server API group list: Get \"https://acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com:6443/api?timeout=32s\": dial tcp: lookup acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com on 172.30.0.10:53: no such host" [must-gather] E0728 19:20:03.623395 23 memcache.go:265] "Unhandled Error" err="couldn't get current server API group list: Get \"https://acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com:6443/api?timeout=32s\": dial tcp: lookup acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com on 172.30.0.10:53: no such host" [must-gather] E0728 19:20:03.633547 23 memcache.go:265] "Unhandled Error" err="couldn't get current server API group list: Get \"https://acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com:6443/api?timeout=32s\": dial tcp: lookup acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com on 172.30.0.10:53: no such host" [must-gather] error completing cluster type inspection: error running backup collection: Get "https://acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com:6443/api?timeout=32s": dial tcp: lookup acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com on 172.30.0.10:53: no such host [must-gather] Falling back to `oc adm inspect namespace/openshift-cluster-version` to collect basic cluster named resources. [must-gather] E0728 19:20:03.646975 23 memcache.go:265] "Unhandled Error" err="couldn't get current server API group list: Get \"https://acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com:6443/api?timeout=32s\": dial tcp: lookup acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com on 172.30.0.10:53: no such host" [must-gather] E0728 19:20:03.655873 23 memcache.go:265] "Unhandled Error" err="couldn't get current server API group list: Get \"https://acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com:6443/api?timeout=32s\": dial tcp: lookup acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com on 172.30.0.10:53: no such host" [must-gather] E0728 19:20:03.665161 23 memcache.go:265] "Unhandled Error" err="couldn't get current server API group list: Get \"https://acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com:6443/api?timeout=32s\": dial tcp: lookup acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com on 172.30.0.10:53: no such host" [must-gather] E0728 19:20:03.675811 23 memcache.go:265] "Unhandled Error" err="couldn't get current server API group list: Get \"https://acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com:6443/api?timeout=32s\": dial tcp: lookup acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com on 172.30.0.10:53: no such host" [must-gather] error completing cluster named resource inspection: error running backup collection: Get "https://acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com:6443/api?timeout=32s": dial tcp: lookup acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com on 172.30.0.10:53: no such host [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] error getting cluster version: Get "https://acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com:6443/apis/config.openshift.io/v1/clusterversions/version": dial tcp: lookup acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com on 172.30.0.10:53: no such host [must-gather] ClusterID: [must-gather] ClientVersion: 4.21.10 [must-gather] ClusterVersion: Installing "" for : [must-gather] error getting cluster operators: Get "https://acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com:6443/apis/config.openshift.io/v1/clusteroperators": dial tcp: lookup acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com on 172.30.0.10:53: no such host [must-gather] ClusterOperators: [must-gather] clusteroperators are missing [must-gather] [must-gather] [must-gather] error: creating temp namespace: Post "https://acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com:6443/api/v1/namespaces": dial tcp: lookup acaa0b61de72f4f5bb053e00baa14650-0b6954e68801d133.elb.us-east-1.amazonaws.com on 172.30.0.10:53: no such host [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-rqfkb [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-rqfkb-e2e-llm-inference-service [git-push-artifacts] PIPELINERUN_NAME=kserve-group-test-rqfkb [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 124412 Jul 28 19:20 /workspace/odh-ci-artifacts/test-artifacts/kserve-group-test-rqfkb/e2e-llm-inference-service.tar.gz [git-push-artifacts] [ci-artifacts b7654a9] 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-rqfkb/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] f3a8c34..b7654a9 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":"2026-07-28T19:20:07.700Z","type":3}]