task e2e-llm-inference-service has failed: "step-fail-if-needed" exited with code 1: Error [get-kubeconfig] Found kubeconfig secret: cluster-v2bjp-admin-kubeconfig [get-kubeconfig] Wrote kubeconfig to /credentials/cluster-v2bjp-kubeconfig [get-kubeconfig] Found admin password secret: cluster-v2bjp-admin-password [get-kubeconfig] Retrieved username [get-kubeconfig] Wrote password to /credentials/cluster-v2bjp-password [get-kubeconfig] API Server URL: https://a1ce346b6b2324793879a6983458d6c6-4914009df2272e1c.elb.us-east-1.amazonaws.com:6443 [get-kubeconfig] Console URL: https://console-openshift-console.apps.d57fe3a7-7307-4e77-b10d-be1a897df2ba.prod.konfluxeaas.com [clone-repo] wva-overlay-fix [clone-repo] https://github.com/maskarb/kserve [clone-repo] Cloning into '/workspace/source'... 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[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 '.[$component_name].image' [e2e-llm-inference-service] + export KSERVE_AGENT_IMAGE=quay.io/opendatahub/kserve-agent@sha256:c2ec3c7b4f4e1e45c65c5dc6bb443d6d9f93bbd95edfb128e24e40a56ed9bf66 [e2e-llm-inference-service] + KSERVE_AGENT_IMAGE=quay.io/opendatahub/kserve-agent@sha256:c2ec3c7b4f4e1e45c65c5dc6bb443d6d9f93bbd95edfb128e24e40a56ed9bf66 [e2e-llm-inference-service] + COMPONENT_NAME=kserve-controller-ci [e2e-llm-inference-service] ++ jq -r --arg component_name kserve-controller-ci '.[$component_name].image' [e2e-llm-inference-service] + export KSERVE_CONTROLLER_IMAGE=quay.io/opendatahub/kserve-controller@sha256:96827fd31c678827421d0ee71858fd3ca5354456bb0730b7b27ba41016ab5aaf [e2e-llm-inference-service] + KSERVE_CONTROLLER_IMAGE=quay.io/opendatahub/kserve-controller@sha256:96827fd31c678827421d0ee71858fd3ca5354456bb0730b7b27ba41016ab5aaf [e2e-llm-inference-service] + COMPONENT_NAME=kserve-router-ci [e2e-llm-inference-service] ++ jq -r --arg component_name kserve-router-ci '.[$component_name].image' [e2e-llm-inference-service] + export KSERVE_ROUTER_IMAGE=quay.io/opendatahub/kserve-router@sha256:b3cb5f47c4ea9d876e5490bc83b15040508a0aac484b7e9d11de2faf2dbcdfe4 [e2e-llm-inference-service] + KSERVE_ROUTER_IMAGE=quay.io/opendatahub/kserve-router@sha256:b3cb5f47c4ea9d876e5490bc83b15040508a0aac484b7e9d11de2faf2dbcdfe4 [e2e-llm-inference-service] + COMPONENT_NAME=kserve-storage-initializer-ci [e2e-llm-inference-service] ++ jq -r --arg component_name kserve-storage-initializer-ci '.[$component_name].image' [e2e-llm-inference-service] + export STORAGE_INITIALIZER_IMAGE=quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [e2e-llm-inference-service] + STORAGE_INITIALIZER_IMAGE=quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [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@sha256:94b3b0139901894d0652128d6ad26b084dc45ab50801d2825a8f9e82fb217e5f [e2e-llm-inference-service] + LLMISVC_CONTROLLER_IMAGE=quay.io/opendatahub/odh-kserve-llmisvc-controller@sha256:94b3b0139901894d0652128d6ad26b084dc45ab50801d2825a8f9e82fb217e5f [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] 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-1699 [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-1699 [e2e-llm-inference-service] SUCCESS_200_ISVC_IMAGE=quay.io/opendatahub/success-200-isvc:odh-pr-1699 [e2e-llm-inference-service] [INFO] Installing Kustomize v5.8.1 for linux/amd64... [e2e-llm-inference-service] [SUCCESS] Successfully installed Kustomize v5.8.1 to /workspace/source/bin/kustomize [e2e-llm-inference-service] v5.8.1 [e2e-llm-inference-service] make: Entering directory '/workspace/source' [e2e-llm-inference-service] [INFO] Installing yq v4.52.1 for linux/amd64... [e2e-llm-inference-service] [SUCCESS] Successfully installed yq v4.52.1 to /workspace/source/bin/yq [e2e-llm-inference-service] yq (https://github.com/mikefarah/yq/) version v4.52.1 [e2e-llm-inference-service] make: Leaving directory '/workspace/source' [e2e-llm-inference-service] Installing KServe Python SDK ... [e2e-llm-inference-service] [INFO] Installing uv 0.7.8 for linux/amd64... [e2e-llm-inference-service] [SUCCESS] Successfully installed uv 0.7.8 to /workspace/source/bin/uv [e2e-llm-inference-service] warning: Failed to read project metadata (No `pyproject.toml` found in current directory or any parent directory). Running `uv self version` for compatibility. This fallback will be removed in the future; pass `--preview` to force an error. [e2e-llm-inference-service] uv 0.7.8 [e2e-llm-inference-service] Creating virtual environment... [e2e-llm-inference-service] warning: virtualenv's `--clear` has no effect (uv always clears the virtual environment) [e2e-llm-inference-service] Using CPython 3.9.25 interpreter at: /usr/bin/python3 [e2e-llm-inference-service] Creating virtual environment at: .venv [e2e-llm-inference-service] /workspace/source [e2e-llm-inference-service] Using CPython 3.11.13 interpreter at: /usr/bin/python3.11 [e2e-llm-inference-service] Creating virtual environment at: .venv [e2e-llm-inference-service] Resolved 266 packages in 1ms [e2e-llm-inference-service] Building kserve @ file:///workspace/source/python/kserve [e2e-llm-inference-service] Downloading kubernetes (1.9MiB) [e2e-llm-inference-service] Downloading aiohttp (1.7MiB) [e2e-llm-inference-service] Downloading cryptography (4.3MiB) [e2e-llm-inference-service] Downloading uvloop (3.8MiB) [e2e-llm-inference-service] Downloading pandas (12.5MiB) [e2e-llm-inference-service] Downloading pydantic-core (2.0MiB) [e2e-llm-inference-service] Downloading botocore (12.9MiB) [e2e-llm-inference-service] Downloading numpy (15.7MiB) [e2e-llm-inference-service] Downloading grpcio (6.4MiB) [e2e-llm-inference-service] Downloading black (1.6MiB) [e2e-llm-inference-service] Downloading mypy (17.2MiB) [e2e-llm-inference-service] Downloading pyarrow (40.1MiB) [e2e-llm-inference-service] Downloading grpcio-tools (2.5MiB) [e2e-llm-inference-service] Downloading setuptools (1.2MiB) [e2e-llm-inference-service] Downloading portforward (3.9MiB) [e2e-llm-inference-service] Building timeout-sampler==1.0.3 [e2e-llm-inference-service] Building python-simple-logger==2.0.19 [e2e-llm-inference-service] Downloading aiohttp [e2e-llm-inference-service] Downloading pydantic-core [e2e-llm-inference-service] Downloading black [e2e-llm-inference-service] Downloading grpcio-tools [e2e-llm-inference-service] Downloading setuptools [e2e-llm-inference-service] Downloading portforward [e2e-llm-inference-service] Downloading uvloop [e2e-llm-inference-service] Downloading cryptography [e2e-llm-inference-service] Built python-simple-logger==2.0.19 [e2e-llm-inference-service] Downloading kubernetes [e2e-llm-inference-service] Downloading grpcio [e2e-llm-inference-service] Built timeout-sampler==1.0.3 [e2e-llm-inference-service] Downloading numpy [e2e-llm-inference-service] Built kserve @ file:///workspace/source/python/kserve [e2e-llm-inference-service] Downloading pandas [e2e-llm-inference-service] Downloading botocore [e2e-llm-inference-service] Downloading pyarrow [e2e-llm-inference-service] Downloading mypy [e2e-llm-inference-service] Prepared 101 packages in 1.94s [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 411ms [e2e-llm-inference-service] + aiohappyeyeballs==2.6.1 [e2e-llm-inference-service] + aiohttp==3.13.3 [e2e-llm-inference-service] + aiosignal==1.4.0 [e2e-llm-inference-service] + annotated-doc==0.0.4 [e2e-llm-inference-service] + annotated-types==0.7.0 [e2e-llm-inference-service] + anyio==4.9.0 [e2e-llm-inference-service] + attrs==25.3.0 [e2e-llm-inference-service] + avro==1.12.0 [e2e-llm-inference-service] + black==24.3.0 [e2e-llm-inference-service] + boto3==1.37.35 [e2e-llm-inference-service] + botocore==1.37.35 [e2e-llm-inference-service] + cachetools==5.5.2 [e2e-llm-inference-service] + certifi==2025.1.31 [e2e-llm-inference-service] + cffi==2.0.0 [e2e-llm-inference-service] + charset-normalizer==3.4.1 [e2e-llm-inference-service] + click==8.1.8 [e2e-llm-inference-service] + cloudevents==1.11.0 [e2e-llm-inference-service] + colorama==0.4.6 [e2e-llm-inference-service] + colorlog==6.10.1 [e2e-llm-inference-service] + coverage==7.8.0 [e2e-llm-inference-service] + cryptography==46.0.5 [e2e-llm-inference-service] + deprecation==2.1.0 [e2e-llm-inference-service] + durationpy==0.9 [e2e-llm-inference-service] + execnet==2.1.1 [e2e-llm-inference-service] + fastapi==0.136.3 [e2e-llm-inference-service] + frozenlist==1.5.0 [e2e-llm-inference-service] + google-auth==2.39.0 [e2e-llm-inference-service] + grpc-interceptor==0.15.4 [e2e-llm-inference-service] + grpcio==1.78.1 [e2e-llm-inference-service] + grpcio-testing==1.78.1 [e2e-llm-inference-service] + grpcio-tools==1.78.1 [e2e-llm-inference-service] + h11==0.16.0 [e2e-llm-inference-service] + httpcore==1.0.9 [e2e-llm-inference-service] + httptools==0.6.4 [e2e-llm-inference-service] + httpx==0.27.2 [e2e-llm-inference-service] + httpx-retries==0.4.5 [e2e-llm-inference-service] + idna==3.10 [e2e-llm-inference-service] + iniconfig==2.1.0 [e2e-llm-inference-service] + jinja2==3.1.6 [e2e-llm-inference-service] + jmespath==1.0.1 [e2e-llm-inference-service] + kserve==0.19.0 (from file:///workspace/source/python/kserve) [e2e-llm-inference-service] + kubernetes==32.0.1 [e2e-llm-inference-service] + markupsafe==3.0.2 [e2e-llm-inference-service] + multidict==6.4.3 [e2e-llm-inference-service] + mypy==0.991 [e2e-llm-inference-service] + mypy-extensions==1.0.0 [e2e-llm-inference-service] + numpy==2.2.4 [e2e-llm-inference-service] + oauthlib==3.2.2 [e2e-llm-inference-service] + orjson==3.10.16 [e2e-llm-inference-service] + packaging==24.2 [e2e-llm-inference-service] + pandas==2.2.3 [e2e-llm-inference-service] + pathspec==0.12.1 [e2e-llm-inference-service] + platformdirs==4.3.7 [e2e-llm-inference-service] + pluggy==1.5.0 [e2e-llm-inference-service] + portforward==0.7.1 [e2e-llm-inference-service] + prometheus-client==0.21.1 [e2e-llm-inference-service] + propcache==0.3.1 [e2e-llm-inference-service] + protobuf==6.33.5 [e2e-llm-inference-service] + psutil==5.9.8 [e2e-llm-inference-service] + pyarrow==19.0.1 [e2e-llm-inference-service] + pyasn1==0.6.3 [e2e-llm-inference-service] + pyasn1-modules==0.4.2 [e2e-llm-inference-service] + pycparser==2.22 [e2e-llm-inference-service] + pydantic==2.12.4 [e2e-llm-inference-service] + pydantic-core==2.41.5 [e2e-llm-inference-service] + pyjwt==2.12.1 [e2e-llm-inference-service] + pytest==7.4.4 [e2e-llm-inference-service] + pytest-asyncio==0.23.8 [e2e-llm-inference-service] + pytest-cov==5.0.0 [e2e-llm-inference-service] + pytest-httpx==0.30.0 [e2e-llm-inference-service] + pytest-json-report==1.5.0 [e2e-llm-inference-service] + pytest-metadata==3.1.1 [e2e-llm-inference-service] + pytest-xdist==3.6.1 [e2e-llm-inference-service] + python-dateutil==2.9.0.post0 [e2e-llm-inference-service] + python-dotenv==1.1.0 [e2e-llm-inference-service] + python-multipart==0.0.22 [e2e-llm-inference-service] + python-simple-logger==2.0.19 [e2e-llm-inference-service] + pytz==2025.2 [e2e-llm-inference-service] + pyyaml==6.0.2 [e2e-llm-inference-service] + requests==2.32.3 [e2e-llm-inference-service] + requests-oauthlib==2.0.0 [e2e-llm-inference-service] + rsa==4.9.1 [e2e-llm-inference-service] + s3transfer==0.11.4 [e2e-llm-inference-service] + setuptools==78.1.0 [e2e-llm-inference-service] + six==1.17.0 [e2e-llm-inference-service] + sniffio==1.3.1 [e2e-llm-inference-service] + starlette==1.2.1 [e2e-llm-inference-service] + tabulate==0.9.0 [e2e-llm-inference-service] + timeout-sampler==1.0.3 [e2e-llm-inference-service] + timing-asgi==0.3.1 [e2e-llm-inference-service] + tomlkit==0.13.2 [e2e-llm-inference-service] + typing-extensions==4.15.0 [e2e-llm-inference-service] + typing-inspection==0.4.2 [e2e-llm-inference-service] + tzdata==2025.2 [e2e-llm-inference-service] + urllib3==2.6.2 [e2e-llm-inference-service] + uvicorn==0.34.1 [e2e-llm-inference-service] + uvloop==0.21.0 [e2e-llm-inference-service] + watchfiles==1.0.5 [e2e-llm-inference-service] + websocket-client==1.8.0 [e2e-llm-inference-service] + websockets==15.0.1 [e2e-llm-inference-service] + yarl==1.20.0 [e2e-llm-inference-service] Audited 1 package in 47ms [e2e-llm-inference-service] /workspace/source [e2e-llm-inference-service] [INFO] Installing Kustomize v5.8.1 for linux/amd64... [e2e-llm-inference-service] [INFO] Kustomize v5.8.1 is already installed in /workspace/source/bin (>= v5.8.1) [e2e-llm-inference-service] make: Entering directory '/workspace/source' [e2e-llm-inference-service] make: Leaving directory '/workspace/source' [e2e-llm-inference-service] Now using project "kserve" on server "https://a1ce346b6b2324793879a6983458d6c6-4914009df2272e1c.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] Waiting for CSV to be installed for subscription openshift-custom-metrics-autoscaler-operator... (25/600) [e2e-llm-inference-service] Waiting for CSV to be installed for subscription openshift-custom-metrics-autoscaler-operator... (30/600) [e2e-llm-inference-service] CSV custom-metrics-autoscaler.v2.19.0-1 found, but not yet Succeeded (Phase: Installing). Waiting... (35/600) [e2e-llm-inference-service] CSV custom-metrics-autoscaler.v2.19.0-1 found, but not yet Succeeded (Phase: Installing). Waiting... (40/600) [e2e-llm-inference-service] CSV custom-metrics-autoscaler.v2.19.0-1 found, but not yet Succeeded (Phase: Installing). Waiting... (45/600) [e2e-llm-inference-service] CSV custom-metrics-autoscaler.v2.19.0-1 found, but not yet Succeeded (Phase: Installing). Waiting... (50/600) [e2e-llm-inference-service] CSV custom-metrics-autoscaler.v2.19.0-1 found, but not yet Succeeded (Phase: Installing). Waiting... (55/600) [e2e-llm-inference-service] CSV custom-metrics-autoscaler.v2.19.0-1 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-68bff59c-rp58v 1/1 Running 0 43s [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-68bff59c-rp58v 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-559f75f947-9nr4w 1/1 Running 0 49s [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-559f75f947-9nr4w 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-5fbd5c4644-9ntzx 1/1 Running 0 53s [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-5fbd5c4644-9ntzx 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@sha256:96827fd31c678827421d0ee71858fd3ca5354456bb0730b7b27ba41016ab5aaf [e2e-llm-inference-service] LLMISVC_CONTROLLER_IMAGE=quay.io/opendatahub/odh-kserve-llmisvc-controller@sha256:94b3b0139901894d0652128d6ad26b084dc45ab50801d2825a8f9e82fb217e5f [e2e-llm-inference-service] KSERVE_AGENT_IMAGE=quay.io/opendatahub/kserve-agent@sha256:c2ec3c7b4f4e1e45c65c5dc6bb443d6d9f93bbd95edfb128e24e40a56ed9bf66 [e2e-llm-inference-service] KSERVE_ROUTER_IMAGE=quay.io/opendatahub/kserve-router@sha256:b3cb5f47c4ea9d876e5490bc83b15040508a0aac484b7e9d11de2faf2dbcdfe4 [e2e-llm-inference-service] STORAGE_INITIALIZER_IMAGE=quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [e2e-llm-inference-service] Installing KServe via kustomize... [e2e-llm-inference-service] # Warning: 'commonLabels' is deprecated. Please use 'labels' instead. Run 'kustomize edit fix' to update your Kustomization automatically. [e2e-llm-inference-service] # Warning: 'commonLabels' is deprecated. Please use 'labels' instead. Run 'kustomize edit fix' to update your Kustomization automatically. [e2e-llm-inference-service] # Warning: 'commonLabels' is deprecated. Please use 'labels' instead. Run 'kustomize edit fix' to update your Kustomization automatically. [e2e-llm-inference-service] # Warning: 'commonLabels' is deprecated. Please use 'labels' instead. Run 'kustomize edit fix' to update your Kustomization automatically. [e2e-llm-inference-service] # Warning: 'commonLabels' is deprecated. Please use 'labels' instead. Run 'kustomize edit fix' to update your Kustomization automatically. [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/clusterstoragecontainers.serving.kserve.io serverside-applied [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/datascienceclusters.datasciencecluster.opendatahub.io serverside-applied [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/dscinitializations.dscinitialization.opendatahub.io serverside-applied [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/inferencegraphs.serving.kserve.io serverside-applied [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/inferencemodelrewrites.inference.networking.x-k8s.io serverside-applied [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/inferenceobjectives.inference.networking.x-k8s.io serverside-applied [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/inferencepoolimports.inference.networking.x-k8s.io serverside-applied [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/inferencepools.inference.networking.k8s.io serverside-applied [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/inferencepools.inference.networking.x-k8s.io serverside-applied [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/inferenceservices.serving.kserve.io serverside-applied [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/llminferenceserviceconfigs.serving.kserve.io serverside-applied [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/llminferenceservices.serving.kserve.io serverside-applied [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/servingruntimes.serving.kserve.io serverside-applied [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/trainedmodels.serving.kserve.io serverside-applied [e2e-llm-inference-service] Waiting for CRDs to be established... [e2e-llm-inference-service] Waiting for CRD inferenceservices.serving.kserve.io to appear (timeout: 90s)… [e2e-llm-inference-service] CRD inferenceservices.serving.kserve.io detected — waiting for it to become Established (timeout: 90s)… [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/inferenceservices.serving.kserve.io condition met [e2e-llm-inference-service] Waiting for CRD llminferenceserviceconfigs.serving.kserve.io to appear (timeout: 90s)… [e2e-llm-inference-service] CRD llminferenceserviceconfigs.serving.kserve.io detected — waiting for it to become Established (timeout: 90s)… [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/llminferenceserviceconfigs.serving.kserve.io condition met [e2e-llm-inference-service] Waiting for CRD clusterstoragecontainers.serving.kserve.io to appear (timeout: 90s)… [e2e-llm-inference-service] CRD clusterstoragecontainers.serving.kserve.io detected — waiting for it to become Established (timeout: 90s)… [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/clusterstoragecontainers.serving.kserve.io condition met [e2e-llm-inference-service] Waiting for CRD datascienceclusters.datasciencecluster.opendatahub.io to appear (timeout: 90s)… [e2e-llm-inference-service] CRD datascienceclusters.datasciencecluster.opendatahub.io detected — waiting for it to become Established (timeout: 90s)… [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/datascienceclusters.datasciencecluster.opendatahub.io condition met [e2e-llm-inference-service] Applying all resources... [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/clusterstoragecontainers.serving.kserve.io serverside-applied [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/datascienceclusters.datasciencecluster.opendatahub.io serverside-applied [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/dscinitializations.dscinitialization.opendatahub.io serverside-applied [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/inferencegraphs.serving.kserve.io serverside-applied [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/inferencemodelrewrites.inference.networking.x-k8s.io serverside-applied [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/inferenceobjectives.inference.networking.x-k8s.io serverside-applied [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/inferencepoolimports.inference.networking.x-k8s.io serverside-applied [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/inferencepools.inference.networking.k8s.io serverside-applied [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/inferencepools.inference.networking.x-k8s.io serverside-applied [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/inferenceservices.serving.kserve.io serverside-applied [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/llminferenceserviceconfigs.serving.kserve.io serverside-applied [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/llminferenceservices.serving.kserve.io serverside-applied [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/servingruntimes.serving.kserve.io serverside-applied [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/trainedmodels.serving.kserve.io serverside-applied [e2e-llm-inference-service] serviceaccount/kserve-controller-manager serverside-applied [e2e-llm-inference-service] serviceaccount/llmisvc-controller-manager serverside-applied [e2e-llm-inference-service] role.rbac.authorization.k8s.io/kserve-leader-election-role serverside-applied [e2e-llm-inference-service] role.rbac.authorization.k8s.io/kserve-llmisvcconfig-read-access serverside-applied [e2e-llm-inference-service] role.rbac.authorization.k8s.io/llmisvc-leader-election-role serverside-applied [e2e-llm-inference-service] clusterrole.rbac.authorization.k8s.io/kserve-admin serverside-applied [e2e-llm-inference-service] clusterrole.rbac.authorization.k8s.io/kserve-edit serverside-applied [e2e-llm-inference-service] clusterrole.rbac.authorization.k8s.io/kserve-inferenceservice-distro-role serverside-applied [e2e-llm-inference-service] clusterrole.rbac.authorization.k8s.io/kserve-llmisvc-distro-role serverside-applied [e2e-llm-inference-service] clusterrole.rbac.authorization.k8s.io/kserve-llmisvc-manager-role serverside-applied [e2e-llm-inference-service] clusterrole.rbac.authorization.k8s.io/kserve-manager-role serverside-applied [e2e-llm-inference-service] clusterrole.rbac.authorization.k8s.io/kserve-metrics-reader-cluster-role serverside-applied [e2e-llm-inference-service] clusterrole.rbac.authorization.k8s.io/kserve-proxy-role serverside-applied [e2e-llm-inference-service] clusterrole.rbac.authorization.k8s.io/kserve-view serverside-applied [e2e-llm-inference-service] clusterrole.rbac.authorization.k8s.io/openshift-ai-inferenceservice-image-volume-scc serverside-applied [e2e-llm-inference-service] clusterrole.rbac.authorization.k8s.io/openshift-ai-llminferenceservice-scc serverside-applied [e2e-llm-inference-service] rolebinding.rbac.authorization.k8s.io/kserve-leader-election-rolebinding serverside-applied [e2e-llm-inference-service] rolebinding.rbac.authorization.k8s.io/kserve-llmisvcconfig-read-access serverside-applied [e2e-llm-inference-service] rolebinding.rbac.authorization.k8s.io/llmisvc-leader-election-rolebinding serverside-applied [e2e-llm-inference-service] clusterrolebinding.rbac.authorization.k8s.io/kserve-inferenceservice-distro-rolebinding serverside-applied [e2e-llm-inference-service] clusterrolebinding.rbac.authorization.k8s.io/kserve-llmisvc-distro-rolebinding serverside-applied [e2e-llm-inference-service] clusterrolebinding.rbac.authorization.k8s.io/kserve-manager-rolebinding serverside-applied [e2e-llm-inference-service] clusterrolebinding.rbac.authorization.k8s.io/kserve-proxy-rolebinding serverside-applied [e2e-llm-inference-service] clusterrolebinding.rbac.authorization.k8s.io/llmisvc-manager-rolebinding serverside-applied [e2e-llm-inference-service] configmap/inferenceservice-config serverside-applied [e2e-llm-inference-service] configmap/kserve-parameters serverside-applied [e2e-llm-inference-service] secret/kserve-webhook-server-secret serverside-applied [e2e-llm-inference-service] secret/mlpipeline-s3-artifact serverside-applied [e2e-llm-inference-service] service/kserve-controller-manager-metrics-service serverside-applied [e2e-llm-inference-service] service/kserve-controller-manager-service serverside-applied [e2e-llm-inference-service] service/kserve-webhook-server-service serverside-applied [e2e-llm-inference-service] service/llmisvc-controller-manager-service serverside-applied [e2e-llm-inference-service] service/llmisvc-webhook-server-service serverside-applied [e2e-llm-inference-service] service/s3-service serverside-applied [e2e-llm-inference-service] deployment.apps/kserve-controller-manager serverside-applied [e2e-llm-inference-service] deployment.apps/llmisvc-controller-manager serverside-applied [e2e-llm-inference-service] deployment.apps/seaweedfs serverside-applied [e2e-llm-inference-service] networkpolicy.networking.k8s.io/kserve-controller-manager serverside-applied [e2e-llm-inference-service] securitycontextconstraints.security.openshift.io/openshift-ai-inferenceservice-image-volume-scc serverside-applied [e2e-llm-inference-service] securitycontextconstraints.security.openshift.io/openshift-ai-llminferenceservice-scc serverside-applied [e2e-llm-inference-service] clusterstoragecontainer.serving.kserve.io/default serverside-applied [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-decode-template serverside-applied [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-decode-worker-data-parallel serverside-applied [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-prefill-template serverside-applied [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-prefill-template-nvidia-cuda serverside-applied [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-prefill-template-nvidia-cuda-fast-1 serverside-applied [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-prefill-template-nvidia-cuda-fast-2 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-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-template-nvidia-cuda serverside-applied [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-template-nvidia-cuda-fast-1 serverside-applied [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-template-nvidia-cuda-fast-2 serverside-applied [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-tracing serverside-applied [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-worker-data-parallel serverside-applied [e2e-llm-inference-service] mutatingwebhookconfiguration.admissionregistration.k8s.io/inferenceservice.serving.kserve.io serverside-applied [e2e-llm-inference-service] mutatingwebhookconfiguration.admissionregistration.k8s.io/llminferenceservice.serving.kserve.io serverside-applied [e2e-llm-inference-service] validatingwebhookconfiguration.admissionregistration.k8s.io/inferencegraph.serving.kserve.io serverside-applied [e2e-llm-inference-service] validatingwebhookconfiguration.admissionregistration.k8s.io/inferenceservice.serving.kserve.io serverside-applied [e2e-llm-inference-service] validatingwebhookconfiguration.admissionregistration.k8s.io/llminferenceservice.serving.kserve.io serverside-applied [e2e-llm-inference-service] validatingwebhookconfiguration.admissionregistration.k8s.io/llminferenceserviceconfig.serving.kserve.io serverside-applied [e2e-llm-inference-service] validatingwebhookconfiguration.admissionregistration.k8s.io/servingruntime.serving.kserve.io serverside-applied [e2e-llm-inference-service] validatingwebhookconfiguration.admissionregistration.k8s.io/trainedmodel.serving.kserve.io serverside-applied [e2e-llm-inference-service] Waiting for llmisvc-controller-manager to be ready... [e2e-llm-inference-service] Waiting for pod -l "control-plane=llmisvc-controller-manager" in namespace "kserve" to be created... [e2e-llm-inference-service] Pod -l "control-plane=llmisvc-controller-manager" in namespace "kserve" found. [e2e-llm-inference-service] Current pods for -l "control-plane=llmisvc-controller-manager" in namespace "kserve": [e2e-llm-inference-service] NAME READY STATUS RESTARTS AGE [e2e-llm-inference-service] llmisvc-controller-manager-7fbb9f4f9-j9bmn 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-7fbb9f4f9-j9bmn condition met [e2e-llm-inference-service] Pod(s) -l "control-plane=llmisvc-controller-manager" in namespace "kserve" are ready. [e2e-llm-inference-service] Re-applying LLMInferenceServiceConfig resources with webhook validation... [e2e-llm-inference-service] Warning: modifying well-known config kserve/kserve-config-llm-decode-template is not recommended. Consider creating a custom config instead [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-decode-template serverside-applied [e2e-llm-inference-service] Warning: modifying well-known config kserve/kserve-config-llm-decode-worker-data-parallel is not recommended. Consider creating a custom config instead [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-decode-worker-data-parallel serverside-applied [e2e-llm-inference-service] Warning: modifying well-known config kserve/kserve-config-llm-prefill-template is not recommended. Consider creating a custom config instead [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-prefill-template serverside-applied [e2e-llm-inference-service] Warning: modifying well-known config kserve/kserve-config-llm-prefill-worker-data-parallel is not recommended. Consider creating a custom config instead [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-prefill-worker-data-parallel serverside-applied [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-router-route serverside-applied [e2e-llm-inference-service] Warning: modifying well-known config kserve/kserve-config-llm-scheduler is not recommended. Consider creating a custom config instead [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-scheduler serverside-applied [e2e-llm-inference-service] Warning: modifying well-known config kserve/kserve-config-llm-template is not recommended. Consider creating a custom config instead [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-template serverside-applied [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-tracing serverside-applied [e2e-llm-inference-service] Warning: modifying well-known config kserve/kserve-config-llm-worker-data-parallel is not recommended. Consider creating a custom config instead [e2e-llm-inference-service] llminferenceserviceconfig.serving.kserve.io/kserve-config-llm-worker-data-parallel serverside-applied [e2e-llm-inference-service] Applying DSC/DSCI resources... [e2e-llm-inference-service] dscinitialization.dscinitialization.opendatahub.io/test-dsci created [e2e-llm-inference-service] datasciencecluster.datasciencecluster.opendatahub.io/test-dsc created [e2e-llm-inference-service] KServe manual installation complete [e2e-llm-inference-service] 🔧 Configuration: [e2e-llm-inference-service] KServe deployment: ❌ disabled [e2e-llm-inference-service] Kuadrant deployment: ✅ enabled [e2e-llm-inference-service] [e2e-llm-inference-service] Checking OpenShift server version...(4.21.23) [e2e-llm-inference-service] 🎯 Server version (4.21.23) 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] Waiting for CSV to be installed for subscription openshift-cert-manager-operator... (15/300) [e2e-llm-inference-service] Waiting for CSV to be installed for subscription openshift-cert-manager-operator... (20/300) [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-rxbq5 1/1 Running 0 14s [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-rxbq5 condition met [e2e-llm-inference-service] Pod(s) -l "name=openshift-lws-operator" in namespace "openshift-lws-operator" are ready. [e2e-llm-inference-service] ✅ openshift-lws-operator installed [e2e-llm-inference-service] gatewayclass.gateway.networking.k8s.io/openshift-default created [e2e-llm-inference-service] Waiting for pod -l "app=istiod" in namespace "openshift-ingress" to be created... [e2e-llm-inference-service] Pod -l "app=istiod" in namespace "openshift-ingress" found. [e2e-llm-inference-service] Current pods for -l "app=istiod" in namespace "openshift-ingress": [e2e-llm-inference-service] NAME READY STATUS RESTARTS AGE [e2e-llm-inference-service] istiod-openshift-gateway-94bb8fbfd-8zbgc 0/1 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-94bb8fbfd-8zbgc 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] 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-9455cf8d5-thlhs 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-9455cf8d5-thlhs 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.v1.4.1 found, but not yet Succeeded (Phase: Installing). Waiting... (25/600) [e2e-llm-inference-service] CSV rhcl-operator.v1.4.1 found, but not yet Succeeded (Phase: Installing). Waiting... (30/600) [e2e-llm-inference-service] CSV rhcl-operator.v1.4.1 found, but not yet Succeeded (Phase: Installing). Waiting... (35/600) [e2e-llm-inference-service] CSV rhcl-operator.v1.4.1 found, but not yet Succeeded (Phase: Installing). Waiting... (40/600) [e2e-llm-inference-service] CSV rhcl-operator.v1.4.1 found, but not yet Succeeded (Phase: Installing). Waiting... (45/600) [e2e-llm-inference-service] CSV rhcl-operator.v1.4.1 is ready (Phase: Succeeded). [e2e-llm-inference-service] Waiting for CRD kuadrants.kuadrant.io to appear (timeout: 90s)… [e2e-llm-inference-service] CRD kuadrants.kuadrant.io detected — waiting for it to become Established (timeout: 90s)… [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/kuadrants.kuadrant.io condition met [e2e-llm-inference-service] Waiting for apiserver discovery /apis/kuadrant.io/v1beta1 to list kuadrants (timeout: 120s)… [e2e-llm-inference-service] Discovery for kuadrant.io/v1beta1 includes kuadrants. [e2e-llm-inference-service] ⏳ sleeping 30s after discovery (RESTMapper can trail discovery)… [e2e-llm-inference-service] kuadrant.kuadrant.io/kuadrant created [e2e-llm-inference-service] ⏳ waiting for Kuadrant Ready (attempt 1/2, timeout 5m)… [e2e-llm-inference-service] kuadrant.kuadrant.io/kuadrant condition met [e2e-llm-inference-service] Waiting for pod -l "control-plane=authorino-operator" in namespace "kuadrant-system" to be created... [e2e-llm-inference-service] Pod -l "control-plane=authorino-operator" in namespace "kuadrant-system" found. [e2e-llm-inference-service] Current pods for -l "control-plane=authorino-operator" in namespace "kuadrant-system": [e2e-llm-inference-service] NAME READY STATUS RESTARTS AGE [e2e-llm-inference-service] authorino-operator-6d85f6564-nrnrb 1/1 Running 0 85s [e2e-llm-inference-service] Waiting up to 600s for pod(s) -l "control-plane=authorino-operator" in namespace "kuadrant-system" to become ready... [e2e-llm-inference-service] pod/authorino-operator-6d85f6564-nrnrb condition met [e2e-llm-inference-service] Pod(s) -l "control-plane=authorino-operator" in namespace "kuadrant-system" are ready. [e2e-llm-inference-service] ⏳ waiting for authorino service to be created... [e2e-llm-inference-service] service/authorino-authorino-authorization condition met [e2e-llm-inference-service] service/authorino-authorino-authorization annotated [e2e-llm-inference-service] Warning: resource authorinos/authorino is missing the kubectl.kubernetes.io/last-applied-configuration annotation which is required by oc apply. oc apply should only be used on resources created declaratively by either oc create --save-config or oc apply. The missing annotation will be patched automatically. [e2e-llm-inference-service] authorino.operator.authorino.kuadrant.io/authorino configured [e2e-llm-inference-service] Waiting for pod -l "control-plane=authorino-operator" in namespace "kuadrant-system" to be created... [e2e-llm-inference-service] Pod -l "control-plane=authorino-operator" in namespace "kuadrant-system" found. [e2e-llm-inference-service] Current pods for -l "control-plane=authorino-operator" in namespace "kuadrant-system": [e2e-llm-inference-service] NAME READY STATUS RESTARTS AGE [e2e-llm-inference-service] authorino-operator-6d85f6564-nrnrb 1/1 Running 0 95s [e2e-llm-inference-service] Waiting up to 600s for pod(s) -l "control-plane=authorino-operator" in namespace "kuadrant-system" to become ready... [e2e-llm-inference-service] pod/authorino-operator-6d85f6564-nrnrb condition met [e2e-llm-inference-service] Pod(s) -l "control-plane=authorino-operator" in namespace "kuadrant-system" are ready. [e2e-llm-inference-service] ✅ kuadrant(authorino) installed [e2e-llm-inference-service] Patching ingress domain... [e2e-llm-inference-service] configmap/inferenceservice-config patched [e2e-llm-inference-service] pod "kserve-controller-manager-666b75c8f7-fqzwg" deleted [e2e-llm-inference-service] Waiting for kserve-controller-manager to be ready... [e2e-llm-inference-service] pod/kserve-controller-manager-666b75c8f7-2qp5t condition met [e2e-llm-inference-service] Installing ODH Model Controller manually... [e2e-llm-inference-service] customresourcedefinition.apiextensions.k8s.io/accounts.nim.opendatahub.io created [e2e-llm-inference-service] serviceaccount/model-serving-api created [e2e-llm-inference-service] serviceaccount/odh-model-controller created [e2e-llm-inference-service] role.rbac.authorization.k8s.io/leader-election-role created [e2e-llm-inference-service] clusterrole.rbac.authorization.k8s.io/account-editor-role created [e2e-llm-inference-service] clusterrole.rbac.authorization.k8s.io/account-viewer-role created [e2e-llm-inference-service] clusterrole.rbac.authorization.k8s.io/kserve-prometheus-k8s created [e2e-llm-inference-service] clusterrole.rbac.authorization.k8s.io/metrics-reader created [e2e-llm-inference-service] clusterrole.rbac.authorization.k8s.io/model-serving-api created [e2e-llm-inference-service] clusterrole.rbac.authorization.k8s.io/odh-model-controller-role created [e2e-llm-inference-service] clusterrole.rbac.authorization.k8s.io/proxy-role created [e2e-llm-inference-service] rolebinding.rbac.authorization.k8s.io/leader-election-rolebinding created [e2e-llm-inference-service] clusterrolebinding.rbac.authorization.k8s.io/model-serving-api created [e2e-llm-inference-service] clusterrolebinding.rbac.authorization.k8s.io/odh-model-controller-rolebinding-opendatahub created [e2e-llm-inference-service] clusterrolebinding.rbac.authorization.k8s.io/proxy-rolebinding created [e2e-llm-inference-service] configmap/odh-model-controller-parameters created [e2e-llm-inference-service] service/model-serving-api created [e2e-llm-inference-service] service/odh-model-controller-metrics-service created [e2e-llm-inference-service] service/odh-model-controller-webhook-service created [e2e-llm-inference-service] deployment.apps/model-serving-api created [e2e-llm-inference-service] deployment.apps/odh-model-controller created [e2e-llm-inference-service] servicemonitor.monitoring.coreos.com/model-serving-api-metrics created [e2e-llm-inference-service] servicemonitor.monitoring.coreos.com/odh-model-controller-metrics-monitor created [e2e-llm-inference-service] template.template.openshift.io/autogluon-runtime-template created [e2e-llm-inference-service] template.template.openshift.io/guardrails-detector-huggingface-serving-template created [e2e-llm-inference-service] template.template.openshift.io/kserve-ovms created [e2e-llm-inference-service] template.template.openshift.io/mlserver-runtime-template created [e2e-llm-inference-service] template.template.openshift.io/vllm-cpu-runtime-template created [e2e-llm-inference-service] template.template.openshift.io/vllm-cpu-runtime-template-fast-1 created [e2e-llm-inference-service] template.template.openshift.io/vllm-cpu-runtime-template-fast-2 created [e2e-llm-inference-service] template.template.openshift.io/vllm-cpu-x86-runtime-template created [e2e-llm-inference-service] template.template.openshift.io/vllm-cpu-x86-runtime-template-fast-1 created [e2e-llm-inference-service] template.template.openshift.io/vllm-cpu-x86-runtime-template-fast-2 created [e2e-llm-inference-service] template.template.openshift.io/vllm-cuda-runtime-template created [e2e-llm-inference-service] template.template.openshift.io/vllm-cuda-runtime-template-fast-1 created [e2e-llm-inference-service] template.template.openshift.io/vllm-cuda-runtime-template-fast-2 created [e2e-llm-inference-service] template.template.openshift.io/vllm-gaudi-runtime-template created [e2e-llm-inference-service] template.template.openshift.io/vllm-gaudi-runtime-template-fast-1 created [e2e-llm-inference-service] template.template.openshift.io/vllm-gaudi-runtime-template-fast-2 created [e2e-llm-inference-service] template.template.openshift.io/vllm-multinode-runtime-template created [e2e-llm-inference-service] template.template.openshift.io/vllm-multinode-runtime-template-fast-1 created [e2e-llm-inference-service] template.template.openshift.io/vllm-multinode-runtime-template-fast-2 created [e2e-llm-inference-service] template.template.openshift.io/vllm-rocm-runtime-template created [e2e-llm-inference-service] template.template.openshift.io/vllm-rocm-runtime-template-fast-1 created [e2e-llm-inference-service] template.template.openshift.io/vllm-rocm-runtime-template-fast-2 created [e2e-llm-inference-service] template.template.openshift.io/vllm-spyre-ppc64le-runtime-template created [e2e-llm-inference-service] template.template.openshift.io/vllm-spyre-ppc64le-runtime-template-fast-1 created [e2e-llm-inference-service] template.template.openshift.io/vllm-spyre-ppc64le-runtime-template-fast-2 created [e2e-llm-inference-service] template.template.openshift.io/vllm-spyre-s390x-runtime-template created [e2e-llm-inference-service] template.template.openshift.io/vllm-spyre-s390x-runtime-template-fast-1 created [e2e-llm-inference-service] template.template.openshift.io/vllm-spyre-s390x-runtime-template-fast-2 created [e2e-llm-inference-service] template.template.openshift.io/vllm-spyre-x86-runtime-template created [e2e-llm-inference-service] template.template.openshift.io/vllm-spyre-x86-runtime-template-fast-1 created [e2e-llm-inference-service] template.template.openshift.io/vllm-spyre-x86-runtime-template-fast-2 created [e2e-llm-inference-service] mutatingwebhookconfiguration.admissionregistration.k8s.io/mutating.odh-model-controller.opendatahub.io created [e2e-llm-inference-service] validatingwebhookconfiguration.admissionregistration.k8s.io/validating.odh-model-controller.opendatahub.io created [e2e-llm-inference-service] Waiting for deployment "odh-model-controller" rollout to finish: 0 of 1 updated replicas are available... [e2e-llm-inference-service] deployment "odh-model-controller" successfully rolled out [e2e-llm-inference-service] networkpolicy.networking.k8s.io/allow-all created [e2e-llm-inference-service] KServe setup complete (namespace: kserve) [e2e-llm-inference-service] Add testing models to SeaweedFS S3 storage ... [e2e-llm-inference-service] Waiting for SeaweedFS deployment to be ready... [e2e-llm-inference-service] deployment "seaweedfs" successfully rolled out [e2e-llm-inference-service] S3 init job not completed, re-creating... [e2e-llm-inference-service] job.batch/s3-init replaced [e2e-llm-inference-service] Waiting for S3 init job to complete... [e2e-llm-inference-service] job.batch/s3-init condition met [e2e-llm-inference-service] Prepare CI namespace and install ServingRuntimes [e2e-llm-inference-service] Setting up CI namespace: kserve-ci-e2e-test [e2e-llm-inference-service] Tearing down CI namespace: kserve-ci-e2e-test [e2e-llm-inference-service] Namespace kserve-ci-e2e-test does not exist, skipping deletion [e2e-llm-inference-service] CI namespace teardown complete [e2e-llm-inference-service] Creating namespace kserve-ci-e2e-test [e2e-llm-inference-service] namespace/kserve-ci-e2e-test created [e2e-llm-inference-service] Applying S3 artifact secret [e2e-llm-inference-service] secret/mlpipeline-s3-artifact created [e2e-llm-inference-service] Applying storage-config secret [e2e-llm-inference-service] secret/storage-config created [e2e-llm-inference-service] Applying SeaweedFS S3 credentials secret [e2e-llm-inference-service] secret/seaweedfs-s3-creds created [e2e-llm-inference-service] Linking seaweedfs-s3-creds to default service account [e2e-llm-inference-service] Creating odh-trusted-ca-bundle configmap [e2e-llm-inference-service] configmap/odh-trusted-ca-bundle created [e2e-llm-inference-service] Installing ServingRuntimes [e2e-llm-inference-service] servingruntime.serving.kserve.io/kserve-autogluonserver created [e2e-llm-inference-service] servingruntime.serving.kserve.io/kserve-huggingfaceserver created [e2e-llm-inference-service] servingruntime.serving.kserve.io/kserve-huggingfaceserver-multinode created [e2e-llm-inference-service] servingruntime.serving.kserve.io/kserve-lgbserver created [e2e-llm-inference-service] servingruntime.serving.kserve.io/kserve-mlserver created [e2e-llm-inference-service] servingruntime.serving.kserve.io/kserve-paddleserver created [e2e-llm-inference-service] servingruntime.serving.kserve.io/kserve-pmmlserver created [e2e-llm-inference-service] servingruntime.serving.kserve.io/kserve-predictiveserver created [e2e-llm-inference-service] servingruntime.serving.kserve.io/kserve-sklearnserver created [e2e-llm-inference-service] servingruntime.serving.kserve.io/kserve-tensorflow-serving created [e2e-llm-inference-service] servingruntime.serving.kserve.io/kserve-torchserve created [e2e-llm-inference-service] servingruntime.serving.kserve.io/kserve-tritonserver created [e2e-llm-inference-service] servingruntime.serving.kserve.io/kserve-vllmserver created [e2e-llm-inference-service] servingruntime.serving.kserve.io/kserve-xgbserver created [e2e-llm-inference-service] CI namespace setup complete [e2e-llm-inference-service] Setup complete [e2e-llm-inference-service] === E2E cluster / operator summary === [e2e-llm-inference-service] Client Version: 4.20.11 [e2e-llm-inference-service] Kustomize Version: v5.6.0 [e2e-llm-inference-service] Server Version: 4.21.23 [e2e-llm-inference-service] Kubernetes Version: v1.34.8 [e2e-llm-inference-service] ClusterVersion desired: 4.21.23 [e2e-llm-inference-service] ClusterVersion history (latest): 4.21.23 (Completed) [e2e-llm-inference-service] CSVs in kuadrant-system: [e2e-llm-inference-service] authorino-operator.v1.4.1 Succeeded [e2e-llm-inference-service] cert-manager-operator.v1.20.0 Succeeded [e2e-llm-inference-service] dns-operator.v1.4.0 Succeeded [e2e-llm-inference-service] limitador-operator.v1.4.0 Succeeded [e2e-llm-inference-service] rhcl-operator.v1.4.1 Succeeded [e2e-llm-inference-service] CSVs in openshift-keda: [e2e-llm-inference-service] authorino-operator.v1.4.1 Succeeded [e2e-llm-inference-service] cert-manager-operator.v1.20.0 Succeeded [e2e-llm-inference-service] custom-metrics-autoscaler.v2.19.0-1 Succeeded [e2e-llm-inference-service] dns-operator.v1.4.0 Succeeded [e2e-llm-inference-service] limitador-operator.v1.4.0 Succeeded [e2e-llm-inference-service] rhcl-operator.v1.4.1 Succeeded [e2e-llm-inference-service] CSVs in cert-manager-operator: [e2e-llm-inference-service] authorino-operator.v1.4.1 Succeeded [e2e-llm-inference-service] cert-manager-operator.v1.20.0 Succeeded [e2e-llm-inference-service] dns-operator.v1.4.0 Succeeded [e2e-llm-inference-service] limitador-operator.v1.4.0 Succeeded [e2e-llm-inference-service] rhcl-operator.v1.4.1 Succeeded [e2e-llm-inference-service] CSVs in openshift-lws-operator: [e2e-llm-inference-service] authorino-operator.v1.4.1 Succeeded [e2e-llm-inference-service] cert-manager-operator.v1.20.0 Succeeded [e2e-llm-inference-service] dns-operator.v1.4.0 Succeeded [e2e-llm-inference-service] leader-worker-set.v1.0.0 Succeeded [e2e-llm-inference-service] limitador-operator.v1.4.0 Succeeded [e2e-llm-inference-service] rhcl-operator.v1.4.1 Succeeded [e2e-llm-inference-service] CSVs in openshift-operators (ODH / shared operators, filtered): [e2e-llm-inference-service] authorino-operator.v1.4.1 Succeeded [e2e-llm-inference-service] dns-operator.v1.4.0 Succeeded [e2e-llm-inference-service] limitador-operator.v1.4.0 Succeeded [e2e-llm-inference-service] rhcl-operator.v1.4.1 Succeeded [e2e-llm-inference-service] Kuadrant / Authorino (diagnostics): [e2e-llm-inference-service] CRD kuadrants.kuadrant.io versions: v1beta1 served=true storage=true [e2e-llm-inference-service] Subscriptions in kuadrant-system: [e2e-llm-inference-service] authorino-operator-stable-redhat-operators-openshift-marketplace stable redhat-operators authorino-operator.v1.4.1 [e2e-llm-inference-service] dns-operator-stable-redhat-operators-openshift-marketplace stable redhat-operators dns-operator.v1.4.0 [e2e-llm-inference-service] limitador-operator-stable-redhat-operators-openshift-marketplace stable redhat-operators limitador-operator.v1.4.0 [e2e-llm-inference-service] rhcl-operator stable redhat-operators rhcl-operator.v1.4.1 [e2e-llm-inference-service] Kuadrant CR conditions (kuadrant/kuadrant-system): [e2e-llm-inference-service] Ready=True (Ready) [e2e-llm-inference-service] KServe deployments in kserve: [e2e-llm-inference-service] kserve-controller-manager: ready=1 image=quay.io/opendatahub/kserve-controller@sha256:96827fd31c678827421d0ee71858fd3ca5354456bb0730b7b27ba41016ab5aaf [e2e-llm-inference-service] imageID: quay.io/opendatahub/kserve-controller@sha256:66599d50430b28bce575006075c12c10c7dfcfaf34644e5a5b598116599a1f67 [e2e-llm-inference-service] odh-model-controller: ready=1 image=quay.io/opendatahub/odh-model-controller:fast [e2e-llm-inference-service] imageID: quay.io/opendatahub/odh-model-controller@sha256:2c2819fe2d4890de7b4fa162f23e119a8c319a1f7f57eba168906787527d9534 [e2e-llm-inference-service] llmisvc-controller-manager: ready=1 image=quay.io/opendatahub/odh-kserve-llmisvc-controller@sha256:94b3b0139901894d0652128d6ad26b084dc45ab50801d2825a8f9e82fb217e5f [e2e-llm-inference-service] imageID: quay.io/opendatahub/odh-kserve-llmisvc-controller@sha256:304049e55f85dd564ff74ddbfd6838d811499905088ff4fa014d927703fb4a82 [e2e-llm-inference-service] === End E2E cluster / operator summary === [e2e-llm-inference-service] /workspace/source [e2e-llm-inference-service] CA certificate extracted [e2e-llm-inference-service] REQUESTS_CA_BUNDLE=/tmp/ca.crt [e2e-llm-inference-service] Run E2E tests: llminferenceservice and cluster_cpu and not autoscaling and not tracing [e2e-llm-inference-service] Starting E2E functional tests ... [e2e-llm-inference-service] Parallelism requested for pytest is 2 [e2e-llm-inference-service] ============================= test session starts ============================== [e2e-llm-inference-service] platform linux -- Python 3.11.13, pytest-7.4.4, pluggy-1.5.0 -- /workspace/source/python/kserve/.venv/bin/python [e2e-llm-inference-service] cachedir: .pytest_cache [e2e-llm-inference-service] metadata: {'Python': '3.11.13', 'Platform': 'Linux-5.14.0-570.122.1.el9_6.x86_64-x86_64-with-glibc2.34', 'Packages': {'pytest': '7.4.4', 'pluggy': '1.5.0'}, 'Plugins': {'anyio': '4.9.0', 'xdist': '3.6.1', 'cov': '5.0.0', 'metadata': '3.1.1', 'httpx': '0.30.0', 'asyncio': '0.23.8', '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: anyio-4.9.0, xdist-3.6.1, cov-5.0.0, metadata-3.1.1, httpx-0.30.0, asyncio-0.23.8, 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 [42 items] [e2e-llm-inference-service] [e2e-llm-inference-service] scheduling tests via WorkStealingScheduling [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_gateway_section_name.py::test_gateway_section_name_propagation[cluster_single_node-cluster_cpu-with-section-name] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-scheduler-with-precise-prefix-cache-inline-config-workload-llmd-simulator-kvcache] 2026-07-07 15:09:32.127 6333 kserve INFO [conftest.py:configure_logger():40] Logger configured [e2e-llm-inference-service] 2026-07-07 15:09:32.127 6336 kserve INFO [conftest.py:configure_logger():40] Logger configured [e2e-llm-inference-service] 2026-07-07 15:09:32.141 6333 kserve.trace Checking Gateway router-gateway-1 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] 2026-07-07 15:09:32.141 6333 kserve.trace INFO [gw_api.py:create_or_update_gateway():34] Checking Gateway router-gateway-1 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] 2026-07-07 15:09:32.166 6333 kserve.trace Resource not found, creating Gateway router-gateway-1 [e2e-llm-inference-service] 2026-07-07 15:09:32.166 6333 kserve.trace INFO [gw_api.py:create_or_update_gateway():62] Resource not found, creating Gateway router-gateway-1 [e2e-llm-inference-service] 2026-07-07 15:09:32.182 6333 kserve.trace ✓ Successfully created Gateway router-gateway-1 [e2e-llm-inference-service] 2026-07-07 15:09:32.182 6333 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] 2026-07-07 15:09:53.219 6333 kserve.trace Checking Gateway router-gateway-1 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] 2026-07-07 15:09:53.219 6333 kserve.trace INFO [gw_api.py:create_or_update_gateway():34] Checking Gateway router-gateway-1 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] 2026-07-07 15:09:53.269 6333 kserve.trace ✓ Successfully updated Gateway router-gateway-1 [e2e-llm-inference-service] 2026-07-07 15:09:53.269 6333 kserve.trace INFO [gw_api.py:create_or_update_gateway():57] ✓ Successfully updated Gateway router-gateway-1 [e2e-llm-inference-service] [e2e-llm-inference-service] [gw0] PASSED llmisvc/test_gateway_section_name.py::test_gateway_section_name_propagation[cluster_single_node-cluster_cpu-without-section-name] [e2e-llm-inference-service] llmisvc/test_llm_auth.py::test_llm_auth_enabled_requires_token[cluster_cpu-cluster_single_node-auth-enabled-default] [e2e-llm-inference-service] [gw1] PASSED llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-scheduler-with-precise-prefix-cache-inline-config-workload-llmd-simulator-kvcache] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-llmd-simulator0] [e2e-llm-inference-service] [gw1] PASSED llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-llmd-simulator0] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-llmd-simulator1] [e2e-llm-inference-service] [gw0] 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] 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] [gw0] PASSED llmisvc/test_llm_auth.py::test_llm_auth_invalid_token_rejected[cluster_cpu-cluster_single_node-auth-invalid-token] [e2e-llm-inference-service] llmisvc/test_llm_auth.py::test_llm_auth_disabled_no_token_required[cluster_cpu-cluster_single_node-auth-disabled] [e2e-llm-inference-service] [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] [gw0] FAILED llmisvc/test_llm_auth.py::test_llm_auth_disabled_no_token_required[cluster_cpu-cluster_single_node-auth-disabled] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-with-gateway-ref-router-with-managed-route-model-fb-opt-125m-workload-llmd-simulator] 2026-07-07 15:19:41.579 6333 kserve.trace Checking Gateway router-gateway-1 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] 2026-07-07 15:19:41.579 6333 kserve.trace INFO [gw_api.py:create_or_update_gateway():34] Checking Gateway router-gateway-1 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] 2026-07-07 15:19:41.622 6333 kserve.trace ✓ Successfully updated Gateway router-gateway-1 [e2e-llm-inference-service] 2026-07-07 15:19:41.622 6333 kserve.trace INFO [gw_api.py:create_or_update_gateway():57] ✓ Successfully updated Gateway router-gateway-1 [e2e-llm-inference-service] [e2e-llm-inference-service] [gw0] PASSED llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-with-gateway-ref-router-with-managed-route-model-fb-opt-125m-workload-llmd-simulator] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-single-cpu-model-fb-opt-125m] [e2e-llm-inference-service] [gw0] PASSED llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-single-cpu-model-fb-opt-125m] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-custom-route-timeout-scheduler-managed-workload-single-cpu-model-fb-opt-125m] [e2e-llm-inference-service] [gw1] FAILED llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-single-cpu-model-fb-opt-125m-with-lora-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_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-custom-route-timeout-scheduler-managed-workload-single-cpu-model-fb-opt-125m] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-with-refs-scheduler-managed-workload-single-cpu-model-fb-opt-125m] 2026-07-07 15:49:49.557 6333 kserve.trace Checking Gateway router-gateway-1 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] 2026-07-07 15:49:49.557 6333 kserve.trace INFO [gw_api.py:create_or_update_gateway():34] Checking Gateway router-gateway-1 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] 2026-07-07 15:49:49.600 6333 kserve.trace ✓ Successfully updated Gateway router-gateway-1 [e2e-llm-inference-service] 2026-07-07 15:49:49.600 6333 kserve.trace INFO [gw_api.py:create_or_update_gateway():57] ✓ Successfully updated Gateway router-gateway-1 [e2e-llm-inference-service] 2026-07-07 15:49:49.600 6333 kserve.trace Checking HttpRoute router-route-1 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] 2026-07-07 15:49:49.600 6333 kserve.trace INFO [gw_api.py:create_or_update_route():121] Checking HttpRoute router-route-1 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] 2026-07-07 15:49:49.605 6333 kserve.trace Resource not found, creating HttpRoute router-route-1 [e2e-llm-inference-service] 2026-07-07 15:49:49.605 6333 kserve.trace INFO [gw_api.py:create_or_update_route():149] Resource not found, creating HttpRoute router-route-1 [e2e-llm-inference-service] 2026-07-07 15:49:49.616 6333 kserve.trace ✓ Successfully created HttpRoute router-route-1 [e2e-llm-inference-service] 2026-07-07 15:49:49.616 6333 kserve.trace INFO [gw_api.py:create_or_update_route():157] ✓ Successfully created HttpRoute router-route-1 [e2e-llm-inference-service] 2026-07-07 15:49:49.617 6333 kserve.trace Checking HttpRoute router-route-2 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] 2026-07-07 15:49:49.617 6333 kserve.trace INFO [gw_api.py:create_or_update_route():121] Checking HttpRoute router-route-2 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] 2026-07-07 15:49:49.623 6333 kserve.trace Resource not found, creating HttpRoute router-route-2 [e2e-llm-inference-service] 2026-07-07 15:49:49.623 6333 kserve.trace INFO [gw_api.py:create_or_update_route():149] Resource not found, creating HttpRoute router-route-2 [e2e-llm-inference-service] 2026-07-07 15:49:49.634 6333 kserve.trace ✓ Successfully created HttpRoute router-route-2 [e2e-llm-inference-service] 2026-07-07 15:49:49.634 6333 kserve.trace INFO [gw_api.py:create_or_update_route():157] ✓ Successfully created HttpRoute router-route-2 [e2e-llm-inference-service] [e2e-llm-inference-service] [gw1] FAILED llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-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] [gw0] PASSED llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-with-refs-scheduler-managed-workload-single-cpu-model-fb-opt-125m] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-pd-cpu-model-fb-opt-125m] [e2e-llm-inference-service] [gw1] PASSED llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-single-cpu-model-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] PASSED llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-pd-cpu-model-fb-opt-125m] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-custom-route-timeout-pd-scheduler-managed-workload-pd-cpu-model-fb-opt-125m] [e2e-llm-inference-service] [gw1] PASSED llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-pd-cpu-model-pvc] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_multi_node-router-managed-workload-simulated-dp-ep-cpu-model-pvc] [e2e-llm-inference-service] [gw0] FAILED llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-custom-route-timeout-pd-scheduler-managed-workload-pd-cpu-model-fb-opt-125m] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-with-refs-pd-scheduler-managed-workload-pd-cpu-model-fb-opt-125m] 2026-07-07 16:20:38.634 6333 kserve.trace Checking Gateway router-gateway-2 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] 2026-07-07 16:20:38.634 6333 kserve.trace INFO [gw_api.py:create_or_update_gateway():34] Checking Gateway router-gateway-2 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] 2026-07-07 16:20:38.664 6333 kserve.trace Resource not found, creating Gateway router-gateway-2 [e2e-llm-inference-service] 2026-07-07 16:20:38.664 6333 kserve.trace INFO [gw_api.py:create_or_update_gateway():62] Resource not found, creating Gateway router-gateway-2 [e2e-llm-inference-service] 2026-07-07 16:20:38.671 6333 kserve.trace ✓ Successfully created Gateway router-gateway-2 [e2e-llm-inference-service] 2026-07-07 16:20:38.671 6333 kserve.trace INFO [gw_api.py:create_or_update_gateway():70] ✓ Successfully created Gateway router-gateway-2 [e2e-llm-inference-service] 2026-07-07 16:20:38.672 6333 kserve.trace Checking HttpRoute router-route-3 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] 2026-07-07 16:20:38.672 6333 kserve.trace INFO [gw_api.py:create_or_update_route():121] Checking HttpRoute router-route-3 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] 2026-07-07 16:20:38.675 6333 kserve.trace Resource not found, creating HttpRoute router-route-3 [e2e-llm-inference-service] 2026-07-07 16:20:38.675 6333 kserve.trace INFO [gw_api.py:create_or_update_route():149] Resource not found, creating HttpRoute router-route-3 [e2e-llm-inference-service] 2026-07-07 16:20:38.687 6333 kserve.trace ✓ Successfully created HttpRoute router-route-3 [e2e-llm-inference-service] 2026-07-07 16:20:38.687 6333 kserve.trace INFO [gw_api.py:create_or_update_route():157] ✓ Successfully created HttpRoute router-route-3 [e2e-llm-inference-service] 2026-07-07 16:20:38.687 6333 kserve.trace Checking HttpRoute router-route-4 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] 2026-07-07 16:20:38.687 6333 kserve.trace INFO [gw_api.py:create_or_update_route():121] Checking HttpRoute router-route-4 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] 2026-07-07 16:20:38.691 6333 kserve.trace Resource not found, creating HttpRoute router-route-4 [e2e-llm-inference-service] 2026-07-07 16:20:38.691 6333 kserve.trace INFO [gw_api.py:create_or_update_route():149] Resource not found, creating HttpRoute router-route-4 [e2e-llm-inference-service] 2026-07-07 16:20:38.700 6333 kserve.trace ✓ Successfully created HttpRoute router-route-4 [e2e-llm-inference-service] 2026-07-07 16:20:38.700 6333 kserve.trace INFO [gw_api.py:create_or_update_route():157] ✓ Successfully created HttpRoute router-route-4 [e2e-llm-inference-service] [e2e-llm-inference-service] [gw1] FAILED llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_multi_node-router-managed-workload-simulated-dp-ep-cpu-model-pvc] [e2e-llm-inference-service] llmisvc/test_llm_inference_service_conversion.py::TestLLMInferenceServiceConversion::test_v1alpha1_to_v1alpha2_conversion [e2e-llm-inference-service] [gw1] PASSED llmisvc/test_llm_inference_service_conversion.py::TestLLMInferenceServiceConversion::test_v1alpha1_to_v1alpha2_conversion [e2e-llm-inference-service] llmisvc/test_llm_inference_service_conversion.py::TestLLMInferenceServiceConversion::test_v1alpha2_to_v1alpha1_conversion [e2e-llm-inference-service] [gw1] PASSED llmisvc/test_llm_inference_service_conversion.py::TestLLMInferenceServiceConversion::test_v1alpha2_to_v1alpha1_conversion [e2e-llm-inference-service] llmisvc/test_llm_inference_service_conversion.py::TestLLMInferenceServiceConversion::test_criticality_preservation_via_annotations [e2e-llm-inference-service] [gw1] PASSED llmisvc/test_llm_inference_service_conversion.py::TestLLMInferenceServiceConversion::test_criticality_preservation_via_annotations [e2e-llm-inference-service] llmisvc/test_llm_inference_service_conversion.py::TestLLMInferenceServiceConversion::test_lora_criticality_preservation [e2e-llm-inference-service] [gw1] PASSED llmisvc/test_llm_inference_service_conversion.py::TestLLMInferenceServiceConversion::test_lora_criticality_preservation [e2e-llm-inference-service] llmisvc/test_llm_inference_service_conversion.py::TestLLMInferenceServiceConversion::test_round_trip_conversion_preserves_fields [e2e-llm-inference-service] [gw1] PASSED llmisvc/test_llm_inference_service_conversion.py::TestLLMInferenceServiceConversion::test_round_trip_conversion_preserves_fields [e2e-llm-inference-service] llmisvc/test_llm_inference_service_stop.py::test_llm_stop_feature[cluster_cpu-cluster_single_node-router-managed-workload-single-cpu-model-fb-opt-125m] [e2e-llm-inference-service] [gw0] PASSED llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-with-refs-pd-scheduler-managed-workload-pd-cpu-model-fb-opt-125m] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-no-scheduler-workload-single-cpu-model-fb-opt-125m] [e2e-llm-inference-service] [gw0] 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] [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] [gw0] PASSED 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_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] 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] [gw0] 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] [gw1] PASSED llmisvc/test_llm_lora_adapters.py::test_llm_with_lora_adapters[cluster_cpu-multiple-lora-adapters] [e2e-llm-inference-service] llmisvc/test_llm_tls.py::test_llm_tls_resources[cluster_cpu-cluster_single_node-router-managed-workload-single-cpu-model-fb-opt-125m] [e2e-llm-inference-service] [gw0] 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] [gw0] 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_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] [gw0] 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_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_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] [gw0] 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] [gw1] PASSED llmisvc/test_rolling_upgrade.py::test_rolling_upgrade_coordination[cluster_cpu-cluster_single_node-router-managed-workload-llmd-simulator-model-fb-opt-125m] [e2e-llm-inference-service] llmisvc/test_storage_version_migration.py::TestStorageVersionMigration::test_storage_version_migration_after_simulated_upgrade [e2e-llm-inference-service] [gw1] PASSED llmisvc/test_storage_version_migration.py::TestStorageVersionMigration::test_storage_version_migration_after_simulated_upgrade [e2e-llm-inference-service] [e2e-llm-inference-service] =================================== FAILURES =================================== [e2e-llm-inference-service] ___________ test_llm_auth_disabled_no_token_required[auth-disabled] ____________ [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] self = [e2e-llm-inference-service] conn = [e2e-llm-inference-service] method = 'POST', url = '/kserve-ci-e2e-test/auth-disabled-test/v1/completions' [e2e-llm-inference-service] body = b'{"model": "facebook/opt-125m", "prompt": "KServe is a", "max_tokens": 20}' [e2e-llm-inference-service] headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive', 'Content-Type': 'application/json', 'Content-Length': '73'} [e2e-llm-inference-service] retries = Retry(total=0, connect=None, read=False, redirect=None, status=None) [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), chunked = False [e2e-llm-inference-service] response_conn = [e2e-llm-inference-service] preload_content = False, decode_content = False, 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] # conn.request() calls http.client.*.request, not the method in [e2e-llm-inference-service] # urllib3.request. It also calls makefile (recv) on the socket. [e2e-llm-inference-service] try: [e2e-llm-inference-service] conn.request( [e2e-llm-inference-service] method, [e2e-llm-inference-service] url, [e2e-llm-inference-service] body=body, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] chunked=chunked, [e2e-llm-inference-service] preload_content=preload_content, [e2e-llm-inference-service] decode_content=decode_content, [e2e-llm-inference-service] enforce_content_length=enforce_content_length, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] # We are swallowing BrokenPipeError (errno.EPIPE) since the server is [e2e-llm-inference-service] # legitimately able to close the connection after sending a valid response. [e2e-llm-inference-service] # With this behaviour, the received response is still readable. [e2e-llm-inference-service] except BrokenPipeError: [e2e-llm-inference-service] pass [e2e-llm-inference-service] except OSError as e: [e2e-llm-inference-service] # MacOS/Linux [e2e-llm-inference-service] # EPROTOTYPE and ECONNRESET are needed on macOS [e2e-llm-inference-service] # https://erickt.github.io/blog/2014/11/19/adventures-in-debugging-a-potential-osx-kernel-bug/ [e2e-llm-inference-service] # Condition changed later to emit ECONNRESET instead of only EPROTOTYPE. [e2e-llm-inference-service] if e.errno != errno.EPROTOTYPE and e.errno != errno.ECONNRESET: [e2e-llm-inference-service] raise [e2e-llm-inference-service] [e2e-llm-inference-service] # Reset the timeout for the recv() on the socket [e2e-llm-inference-service] read_timeout = timeout_obj.read_timeout [e2e-llm-inference-service] [e2e-llm-inference-service] if not conn.is_closed: [e2e-llm-inference-service] # In Python 3 socket.py will catch EAGAIN and return None when you [e2e-llm-inference-service] # try and read into the file pointer created by http.client, which [e2e-llm-inference-service] # instead raises a BadStatusLine exception. Instead of catching [e2e-llm-inference-service] # the exception and assuming all BadStatusLine exceptions are read [e2e-llm-inference-service] # timeouts, check for a zero timeout before making the request. [e2e-llm-inference-service] if read_timeout == 0: [e2e-llm-inference-service] raise ReadTimeoutError( [e2e-llm-inference-service] self, url, f"Read timed out. (read timeout={read_timeout})" [e2e-llm-inference-service] ) [e2e-llm-inference-service] conn.timeout = read_timeout [e2e-llm-inference-service] [e2e-llm-inference-service] # Receive the response from the server [e2e-llm-inference-service] try: [e2e-llm-inference-service] > response = conn.getresponse() [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:534: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] [e2e-llm-inference-service] def getresponse( # type: ignore[override] [e2e-llm-inference-service] self, [e2e-llm-inference-service] ) -> HTTPResponse: [e2e-llm-inference-service] """ [e2e-llm-inference-service] Get the response from the server. [e2e-llm-inference-service] [e2e-llm-inference-service] If the HTTPConnection is in the correct state, returns an instance of HTTPResponse or of whatever object is returned by the response_class variable. [e2e-llm-inference-service] [e2e-llm-inference-service] If a request has not been sent or if a previous response has not be handled, ResponseNotReady is raised. If the HTTP response indicates that the connection should be closed, then it will be closed before the response is returned. When the connection is closed, the underlying socket is closed. [e2e-llm-inference-service] """ [e2e-llm-inference-service] # Raise the same error as http.client.HTTPConnection [e2e-llm-inference-service] if self._response_options is None: [e2e-llm-inference-service] raise ResponseNotReady() [e2e-llm-inference-service] [e2e-llm-inference-service] # Reset this attribute for being used again. [e2e-llm-inference-service] resp_options = self._response_options [e2e-llm-inference-service] self._response_options = None [e2e-llm-inference-service] [e2e-llm-inference-service] # Since the connection's timeout value may have been updated [e2e-llm-inference-service] # we need to set the timeout on the socket. [e2e-llm-inference-service] self.sock.settimeout(self.timeout) [e2e-llm-inference-service] [e2e-llm-inference-service] # This is needed here to avoid circular import errors [e2e-llm-inference-service] from .response import HTTPResponse [e2e-llm-inference-service] [e2e-llm-inference-service] # Save a reference to the shutdown function before ownership is passed [e2e-llm-inference-service] # to httplib_response [e2e-llm-inference-service] # TODO should we implement it everywhere? [e2e-llm-inference-service] _shutdown = getattr(self.sock, "shutdown", None) [e2e-llm-inference-service] [e2e-llm-inference-service] # Get the response from http.client.HTTPConnection [e2e-llm-inference-service] > httplib_response = super().getresponse() [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connection.py:571: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] [e2e-llm-inference-service] def getresponse(self): [e2e-llm-inference-service] """Get the response from the server. [e2e-llm-inference-service] [e2e-llm-inference-service] If the HTTPConnection is in the correct state, returns an [e2e-llm-inference-service] instance of HTTPResponse or of whatever object is returned by [e2e-llm-inference-service] the response_class variable. [e2e-llm-inference-service] [e2e-llm-inference-service] If a request has not been sent or if a previous response has [e2e-llm-inference-service] not be handled, ResponseNotReady is raised. If the HTTP [e2e-llm-inference-service] response indicates that the connection should be closed, then [e2e-llm-inference-service] it will be closed before the response is returned. When the [e2e-llm-inference-service] connection is closed, the underlying socket is closed. [e2e-llm-inference-service] """ [e2e-llm-inference-service] [e2e-llm-inference-service] # if a prior response has been completed, then forget about it. [e2e-llm-inference-service] if self.__response and self.__response.isclosed(): [e2e-llm-inference-service] self.__response = None [e2e-llm-inference-service] [e2e-llm-inference-service] # if a prior response exists, then it must be completed (otherwise, we [e2e-llm-inference-service] # cannot read this response's header to determine the connection-close [e2e-llm-inference-service] # behavior) [e2e-llm-inference-service] # [e2e-llm-inference-service] # note: if a prior response existed, but was connection-close, then the [e2e-llm-inference-service] # socket and response were made independent of this HTTPConnection [e2e-llm-inference-service] # object since a new request requires that we open a whole new [e2e-llm-inference-service] # connection [e2e-llm-inference-service] # [e2e-llm-inference-service] # this means the prior response had one of two states: [e2e-llm-inference-service] # 1) will_close: this connection was reset and the prior socket and [e2e-llm-inference-service] # response operate independently [e2e-llm-inference-service] # 2) persistent: the response was retained and we await its [e2e-llm-inference-service] # isclosed() status to become true. [e2e-llm-inference-service] # [e2e-llm-inference-service] if self.__state != _CS_REQ_SENT or self.__response: [e2e-llm-inference-service] raise ResponseNotReady(self.__state) [e2e-llm-inference-service] [e2e-llm-inference-service] if self.debuglevel > 0: [e2e-llm-inference-service] response = self.response_class(self.sock, self.debuglevel, [e2e-llm-inference-service] method=self._method) [e2e-llm-inference-service] else: [e2e-llm-inference-service] response = self.response_class(self.sock, method=self._method) [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] try: [e2e-llm-inference-service] > response.begin() [e2e-llm-inference-service] [e2e-llm-inference-service] /usr/lib64/python3.11/http/client.py:1395: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] [e2e-llm-inference-service] def begin(self): [e2e-llm-inference-service] if self.headers is not None: [e2e-llm-inference-service] # we've already started reading the response [e2e-llm-inference-service] return [e2e-llm-inference-service] [e2e-llm-inference-service] # read until we get a non-100 response [e2e-llm-inference-service] while True: [e2e-llm-inference-service] > version, status, reason = self._read_status() [e2e-llm-inference-service] [e2e-llm-inference-service] /usr/lib64/python3.11/http/client.py:325: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] [e2e-llm-inference-service] def _read_status(self): [e2e-llm-inference-service] > line = str(self.fp.readline(_MAXLINE + 1), "iso-8859-1") [e2e-llm-inference-service] [e2e-llm-inference-service] /usr/lib64/python3.11/http/client.py:286: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] b = [e2e-llm-inference-service] [e2e-llm-inference-service] def readinto(self, b): [e2e-llm-inference-service] """Read up to len(b) bytes into the writable buffer *b* and return [e2e-llm-inference-service] the number of bytes read. If the socket is non-blocking and no bytes [e2e-llm-inference-service] are available, None is returned. [e2e-llm-inference-service] [e2e-llm-inference-service] If *b* is non-empty, a 0 return value indicates that the connection [e2e-llm-inference-service] was shutdown at the other end. [e2e-llm-inference-service] """ [e2e-llm-inference-service] self._checkClosed() [e2e-llm-inference-service] self._checkReadable() [e2e-llm-inference-service] if self._timeout_occurred: [e2e-llm-inference-service] raise OSError("cannot read from timed out object") [e2e-llm-inference-service] while True: [e2e-llm-inference-service] try: [e2e-llm-inference-service] > return self._sock.recv_into(b) [e2e-llm-inference-service] E TimeoutError: timed out [e2e-llm-inference-service] [e2e-llm-inference-service] /usr/lib64/python3.11/socket.py:718: TimeoutError [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] request = , stream = False [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), verify = '/tmp/ca.crt' [e2e-llm-inference-service] cert = None, proxies = OrderedDict() [e2e-llm-inference-service] [e2e-llm-inference-service] def send( [e2e-llm-inference-service] self, request, stream=False, timeout=None, verify=True, cert=None, proxies=None [e2e-llm-inference-service] ): [e2e-llm-inference-service] """Sends PreparedRequest object. Returns Response object. [e2e-llm-inference-service] [e2e-llm-inference-service] :param request: The :class:`PreparedRequest ` being sent. [e2e-llm-inference-service] :param stream: (optional) Whether to stream the request content. [e2e-llm-inference-service] :param timeout: (optional) How long to wait for the server to send [e2e-llm-inference-service] data before giving up, as a float, or a :ref:`(connect timeout, [e2e-llm-inference-service] read timeout) ` tuple. [e2e-llm-inference-service] :type timeout: float or tuple or urllib3 Timeout object [e2e-llm-inference-service] :param verify: (optional) Either a boolean, in which case it controls whether [e2e-llm-inference-service] we verify the server's TLS certificate, or a string, in which case it [e2e-llm-inference-service] must be a path to a CA bundle to use [e2e-llm-inference-service] :param cert: (optional) Any user-provided SSL certificate to be trusted. [e2e-llm-inference-service] :param proxies: (optional) The proxies dictionary to apply to the request. [e2e-llm-inference-service] :rtype: requests.Response [e2e-llm-inference-service] """ [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] conn = self.get_connection_with_tls_context( [e2e-llm-inference-service] request, verify, proxies=proxies, cert=cert [e2e-llm-inference-service] ) [e2e-llm-inference-service] except LocationValueError as e: [e2e-llm-inference-service] raise InvalidURL(e, request=request) [e2e-llm-inference-service] [e2e-llm-inference-service] self.cert_verify(conn, request.url, verify, cert) [e2e-llm-inference-service] url = self.request_url(request, proxies) [e2e-llm-inference-service] self.add_headers( [e2e-llm-inference-service] request, [e2e-llm-inference-service] stream=stream, [e2e-llm-inference-service] timeout=timeout, [e2e-llm-inference-service] verify=verify, [e2e-llm-inference-service] cert=cert, [e2e-llm-inference-service] proxies=proxies, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] chunked = not (request.body is None or "Content-Length" in request.headers) [e2e-llm-inference-service] [e2e-llm-inference-service] if isinstance(timeout, tuple): [e2e-llm-inference-service] try: [e2e-llm-inference-service] connect, read = timeout [e2e-llm-inference-service] timeout = TimeoutSauce(connect=connect, read=read) [e2e-llm-inference-service] except ValueError: [e2e-llm-inference-service] raise ValueError( [e2e-llm-inference-service] f"Invalid timeout {timeout}. Pass a (connect, read) timeout tuple, " [e2e-llm-inference-service] f"or a single float to set both timeouts to the same value." [e2e-llm-inference-service] ) [e2e-llm-inference-service] elif isinstance(timeout, TimeoutSauce): [e2e-llm-inference-service] pass [e2e-llm-inference-service] else: [e2e-llm-inference-service] timeout = TimeoutSauce(connect=timeout, read=timeout) [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] > resp = conn.urlopen( [e2e-llm-inference-service] method=request.method, [e2e-llm-inference-service] url=url, [e2e-llm-inference-service] body=request.body, [e2e-llm-inference-service] headers=request.headers, [e2e-llm-inference-service] redirect=False, [e2e-llm-inference-service] assert_same_host=False, [e2e-llm-inference-service] preload_content=False, [e2e-llm-inference-service] decode_content=False, [e2e-llm-inference-service] retries=self.max_retries, [e2e-llm-inference-service] timeout=timeout, [e2e-llm-inference-service] chunked=chunked, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/requests/adapters.py:667: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] method = 'POST', url = '/kserve-ci-e2e-test/auth-disabled-test/v1/completions' [e2e-llm-inference-service] body = b'{"model": "facebook/opt-125m", "prompt": "KServe is a", "max_tokens": 20}' [e2e-llm-inference-service] headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive', 'Content-Type': 'application/json', 'Content-Length': '73'} [e2e-llm-inference-service] retries = Retry(total=0, connect=None, read=False, redirect=None, status=None) [e2e-llm-inference-service] redirect = False, assert_same_host = False [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None [e2e-llm-inference-service] release_conn = False, chunked = False, body_pos = None, preload_content = False [e2e-llm-inference-service] decode_content = False, response_kw = {} [e2e-llm-inference-service] parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/kserve-ci-e2e-test/auth-disabled-test/v1/completions', query=None, fragment=None) [e2e-llm-inference-service] destination_scheme = None, conn = None, release_this_conn = True [e2e-llm-inference-service] http_tunnel_required = False, err = None, 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] parsed_url = parse_url(url) [e2e-llm-inference-service] destination_scheme = parsed_url.scheme [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] # Ensure that the URL we're connecting to is properly encoded [e2e-llm-inference-service] if url.startswith("/"): [e2e-llm-inference-service] url = to_str(_encode_target(url)) [e2e-llm-inference-service] else: [e2e-llm-inference-service] url = to_str(parsed_url.url) [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:841: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = Retry(total=0, connect=None, read=False, redirect=None, status=None) [e2e-llm-inference-service] method = 'POST', url = '/kserve-ci-e2e-test/auth-disabled-test/v1/completions' [e2e-llm-inference-service] response = None [e2e-llm-inference-service] error = ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)") [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] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/util/retry.py:474: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] tp = , value = None, tb = None [e2e-llm-inference-service] [e2e-llm-inference-service] def reraise( [e2e-llm-inference-service] tp: type[BaseException] | None, [e2e-llm-inference-service] value: BaseException, [e2e-llm-inference-service] tb: TracebackType | None = None, [e2e-llm-inference-service] ) -> typing.NoReturn: [e2e-llm-inference-service] try: [e2e-llm-inference-service] if value.__traceback__ is not tb: [e2e-llm-inference-service] raise value.with_traceback(tb) [e2e-llm-inference-service] > raise value [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/util/util.py:39: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] method = 'POST', url = '/kserve-ci-e2e-test/auth-disabled-test/v1/completions' [e2e-llm-inference-service] body = b'{"model": "facebook/opt-125m", "prompt": "KServe is a", "max_tokens": 20}' [e2e-llm-inference-service] headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive', 'Content-Type': 'application/json', 'Content-Length': '73'} [e2e-llm-inference-service] retries = Retry(total=0, connect=None, read=False, redirect=None, status=None) [e2e-llm-inference-service] redirect = False, assert_same_host = False [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None [e2e-llm-inference-service] release_conn = False, chunked = False, body_pos = None, preload_content = False [e2e-llm-inference-service] decode_content = False, response_kw = {} [e2e-llm-inference-service] parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/kserve-ci-e2e-test/auth-disabled-test/v1/completions', query=None, fragment=None) [e2e-llm-inference-service] destination_scheme = None, conn = None, release_this_conn = True [e2e-llm-inference-service] http_tunnel_required = False, err = None, 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] parsed_url = parse_url(url) [e2e-llm-inference-service] destination_scheme = parsed_url.scheme [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] # Ensure that the URL we're connecting to is properly encoded [e2e-llm-inference-service] if url.startswith("/"): [e2e-llm-inference-service] url = to_str(_encode_target(url)) [e2e-llm-inference-service] else: [e2e-llm-inference-service] url = to_str(parsed_url.url) [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:787: [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 = '/kserve-ci-e2e-test/auth-disabled-test/v1/completions' [e2e-llm-inference-service] body = b'{"model": "facebook/opt-125m", "prompt": "KServe is a", "max_tokens": 20}' [e2e-llm-inference-service] headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive', 'Content-Type': 'application/json', 'Content-Length': '73'} [e2e-llm-inference-service] retries = Retry(total=0, connect=None, read=False, redirect=None, status=None) [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), chunked = False [e2e-llm-inference-service] response_conn = [e2e-llm-inference-service] preload_content = False, decode_content = False, 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] # conn.request() calls http.client.*.request, not the method in [e2e-llm-inference-service] # urllib3.request. It also calls makefile (recv) on the socket. [e2e-llm-inference-service] try: [e2e-llm-inference-service] conn.request( [e2e-llm-inference-service] method, [e2e-llm-inference-service] url, [e2e-llm-inference-service] body=body, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] chunked=chunked, [e2e-llm-inference-service] preload_content=preload_content, [e2e-llm-inference-service] decode_content=decode_content, [e2e-llm-inference-service] enforce_content_length=enforce_content_length, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] # We are swallowing BrokenPipeError (errno.EPIPE) since the server is [e2e-llm-inference-service] # legitimately able to close the connection after sending a valid response. [e2e-llm-inference-service] # With this behaviour, the received response is still readable. [e2e-llm-inference-service] except BrokenPipeError: [e2e-llm-inference-service] pass [e2e-llm-inference-service] except OSError as e: [e2e-llm-inference-service] # MacOS/Linux [e2e-llm-inference-service] # EPROTOTYPE and ECONNRESET are needed on macOS [e2e-llm-inference-service] # https://erickt.github.io/blog/2014/11/19/adventures-in-debugging-a-potential-osx-kernel-bug/ [e2e-llm-inference-service] # Condition changed later to emit ECONNRESET instead of only EPROTOTYPE. [e2e-llm-inference-service] if e.errno != errno.EPROTOTYPE and e.errno != errno.ECONNRESET: [e2e-llm-inference-service] raise [e2e-llm-inference-service] [e2e-llm-inference-service] # Reset the timeout for the recv() on the socket [e2e-llm-inference-service] read_timeout = timeout_obj.read_timeout [e2e-llm-inference-service] [e2e-llm-inference-service] if not conn.is_closed: [e2e-llm-inference-service] # In Python 3 socket.py will catch EAGAIN and return None when you [e2e-llm-inference-service] # try and read into the file pointer created by http.client, which [e2e-llm-inference-service] # instead raises a BadStatusLine exception. Instead of catching [e2e-llm-inference-service] # the exception and assuming all BadStatusLine exceptions are read [e2e-llm-inference-service] # timeouts, check for a zero timeout before making the request. [e2e-llm-inference-service] if read_timeout == 0: [e2e-llm-inference-service] raise ReadTimeoutError( [e2e-llm-inference-service] self, url, f"Read timed out. (read timeout={read_timeout})" [e2e-llm-inference-service] ) [e2e-llm-inference-service] conn.timeout = read_timeout [e2e-llm-inference-service] [e2e-llm-inference-service] # Receive the response from the server [e2e-llm-inference-service] try: [e2e-llm-inference-service] response = conn.getresponse() [e2e-llm-inference-service] except (BaseSSLError, OSError) as e: [e2e-llm-inference-service] > self._raise_timeout(err=e, url=url, timeout_value=read_timeout) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:536: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] err = TimeoutError('timed out') [e2e-llm-inference-service] url = '/kserve-ci-e2e-test/auth-disabled-test/v1/completions' [e2e-llm-inference-service] timeout_value = 60 [e2e-llm-inference-service] [e2e-llm-inference-service] def _raise_timeout( [e2e-llm-inference-service] self, [e2e-llm-inference-service] err: BaseSSLError | OSError | SocketTimeout, [e2e-llm-inference-service] url: str, [e2e-llm-inference-service] timeout_value: _TYPE_TIMEOUT | None, [e2e-llm-inference-service] ) -> None: [e2e-llm-inference-service] """Is the error actually a timeout? Will raise a ReadTimeout or pass""" [e2e-llm-inference-service] [e2e-llm-inference-service] if isinstance(err, SocketTimeout): [e2e-llm-inference-service] > raise ReadTimeoutError( [e2e-llm-inference-service] self, url, f"Read timed out. (read timeout={timeout_value})" [e2e-llm-inference-service] ) from err [e2e-llm-inference-service] E urllib3.exceptions.ReadTimeoutError: HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:367: ReadTimeoutError [e2e-llm-inference-service] [e2e-llm-inference-service] During handling of the above exception, another exception occurred: [e2e-llm-inference-service] [e2e-llm-inference-service] test_case = TestCase(base_refs=['router-auth-disabled', 'workload-single-cpu', 'model-fb-opt-125m'], prompt='KServe is a', service... {'name': 'model-fb-opt-125m-auth-disabled-56d5b5f3'}]}, [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-auth-disabled", [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-disabled-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-disabled", [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_disabled_no_token_required(test_case: TestCase): # noqa: F811 [e2e-llm-inference-service] """ [e2e-llm-inference-service] Test that when auth is disabled via annotation: [e2e-llm-inference-service] - Requests WITHOUT token succeed [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] test_failed = False [e2e-llm-inference-service] [e2e-llm-inference-service] # Add annotation to disable auth [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] ] = "false" [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] service_url = get_llm_service_url(kserve_client, test_case.llm_service) [e2e-llm-inference-service] completion_url = f"{service_url}/v1/completions" [e2e-llm-inference-service] test_payload = { [e2e-llm-inference-service] "model": test_case.model_name, [e2e-llm-inference-service] "prompt": test_case.prompt, [e2e-llm-inference-service] "max_tokens": test_case.max_tokens, [e2e-llm-inference-service] } [e2e-llm-inference-service] [e2e-llm-inference-service] # Test: Request WITHOUT token should succeed when auth is disabled. [e2e-llm-inference-service] # Retry because the anonymous AuthPolicy override (created by the operator when it [e2e-llm-inference-service] # sees enable-auth=false) may not have propagated to Authorino yet. [e2e-llm-inference-service] logger.info("Testing request WITHOUT token (should succeed when auth disabled)") [e2e-llm-inference-service] response_no_token = None [e2e-llm-inference-service] for attempt in range(24): # up to ~120s [e2e-llm-inference-service] > response_no_token = requests.post( [e2e-llm-inference-service] completion_url, [e2e-llm-inference-service] headers={"Content-Type": "application/json"}, [e2e-llm-inference-service] json=test_payload, [e2e-llm-inference-service] timeout=test_case.response_timeout, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_auth.py:581: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] url = 'http://abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com/kserve-ci-e2e-test/auth-disabled-test/v1/completions' [e2e-llm-inference-service] data = None [e2e-llm-inference-service] json = {'max_tokens': 20, 'model': 'facebook/opt-125m', 'prompt': 'KServe is a'} [e2e-llm-inference-service] kwargs = {'headers': {'Content-Type': 'application/json'}, 'timeout': 60} [e2e-llm-inference-service] [e2e-llm-inference-service] def post(url, data=None, json=None, **kwargs): [e2e-llm-inference-service] r"""Sends a POST request. [e2e-llm-inference-service] [e2e-llm-inference-service] :param url: URL for the new :class:`Request` object. [e2e-llm-inference-service] :param data: (optional) Dictionary, list of tuples, bytes, or file-like [e2e-llm-inference-service] object to send in the body of the :class:`Request`. [e2e-llm-inference-service] :param json: (optional) A JSON serializable Python object to send in the body of the :class:`Request`. [e2e-llm-inference-service] :param \*\*kwargs: Optional arguments that ``request`` takes. [e2e-llm-inference-service] :return: :class:`Response ` object [e2e-llm-inference-service] :rtype: requests.Response [e2e-llm-inference-service] """ [e2e-llm-inference-service] [e2e-llm-inference-service] > return request("post", url, data=data, json=json, **kwargs) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/requests/api.py:115: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] method = 'post' [e2e-llm-inference-service] url = 'http://abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com/kserve-ci-e2e-test/auth-disabled-test/v1/completions' [e2e-llm-inference-service] kwargs = {'data': None, 'headers': {'Content-Type': 'application/json'}, 'json': {'max_tokens': 20, 'model': 'facebook/opt-125m', 'prompt': 'KServe is a'}, 'timeout': 60} [e2e-llm-inference-service] session = [e2e-llm-inference-service] [e2e-llm-inference-service] def request(method, url, **kwargs): [e2e-llm-inference-service] """Constructs and sends a :class:`Request `. [e2e-llm-inference-service] [e2e-llm-inference-service] :param method: method for the new :class:`Request` object: ``GET``, ``OPTIONS``, ``HEAD``, ``POST``, ``PUT``, ``PATCH``, or ``DELETE``. [e2e-llm-inference-service] :param url: URL for the new :class:`Request` object. [e2e-llm-inference-service] :param params: (optional) Dictionary, list of tuples or bytes to send [e2e-llm-inference-service] in the query string for the :class:`Request`. [e2e-llm-inference-service] :param data: (optional) Dictionary, list of tuples, bytes, or file-like [e2e-llm-inference-service] object to send in the body of the :class:`Request`. [e2e-llm-inference-service] :param json: (optional) A JSON serializable Python object to send in the body of the :class:`Request`. [e2e-llm-inference-service] :param headers: (optional) Dictionary of HTTP Headers to send with the :class:`Request`. [e2e-llm-inference-service] :param cookies: (optional) Dict or CookieJar object to send with the :class:`Request`. [e2e-llm-inference-service] :param files: (optional) Dictionary of ``'name': file-like-objects`` (or ``{'name': file-tuple}``) for multipart encoding upload. [e2e-llm-inference-service] ``file-tuple`` can be a 2-tuple ``('filename', fileobj)``, 3-tuple ``('filename', fileobj, 'content_type')`` [e2e-llm-inference-service] or a 4-tuple ``('filename', fileobj, 'content_type', custom_headers)``, where ``'content_type'`` is a string [e2e-llm-inference-service] defining the content type of the given file and ``custom_headers`` a dict-like object containing additional headers [e2e-llm-inference-service] to add for the file. [e2e-llm-inference-service] :param auth: (optional) Auth tuple to enable Basic/Digest/Custom HTTP Auth. [e2e-llm-inference-service] :param timeout: (optional) How many seconds to wait for the server to send data [e2e-llm-inference-service] before giving up, as a float, or a :ref:`(connect timeout, read [e2e-llm-inference-service] timeout) ` tuple. [e2e-llm-inference-service] :type timeout: float or tuple [e2e-llm-inference-service] :param allow_redirects: (optional) Boolean. Enable/disable GET/OPTIONS/POST/PUT/PATCH/DELETE/HEAD redirection. Defaults to ``True``. [e2e-llm-inference-service] :type allow_redirects: bool [e2e-llm-inference-service] :param proxies: (optional) Dictionary mapping protocol to the URL of the proxy. [e2e-llm-inference-service] :param verify: (optional) Either a boolean, in which case it controls whether we verify [e2e-llm-inference-service] the server's TLS certificate, or a string, in which case it must be a path [e2e-llm-inference-service] to a CA bundle to use. Defaults to ``True``. [e2e-llm-inference-service] :param stream: (optional) if ``False``, the response content will be immediately downloaded. [e2e-llm-inference-service] :param cert: (optional) if String, path to ssl client cert file (.pem). If Tuple, ('cert', 'key') pair. [e2e-llm-inference-service] :return: :class:`Response ` object [e2e-llm-inference-service] :rtype: requests.Response [e2e-llm-inference-service] [e2e-llm-inference-service] Usage:: [e2e-llm-inference-service] [e2e-llm-inference-service] >>> import requests [e2e-llm-inference-service] >>> req = requests.request('GET', 'https://httpbin.org/get') [e2e-llm-inference-service] >>> req [e2e-llm-inference-service] [e2e-llm-inference-service] """ [e2e-llm-inference-service] [e2e-llm-inference-service] # By using the 'with' statement we are sure the session is closed, thus we [e2e-llm-inference-service] # avoid leaving sockets open which can trigger a ResourceWarning in some [e2e-llm-inference-service] # cases, and look like a memory leak in others. [e2e-llm-inference-service] with sessions.Session() as session: [e2e-llm-inference-service] > return session.request(method=method, url=url, **kwargs) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/requests/api.py:59: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = , method = 'post' [e2e-llm-inference-service] url = 'http://abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com/kserve-ci-e2e-test/auth-disabled-test/v1/completions' [e2e-llm-inference-service] params = None, data = None, headers = {'Content-Type': 'application/json'} [e2e-llm-inference-service] cookies = None, files = None, auth = None, timeout = 60, allow_redirects = True [e2e-llm-inference-service] proxies = {}, hooks = None, stream = None, verify = None, cert = None [e2e-llm-inference-service] json = {'max_tokens': 20, 'model': 'facebook/opt-125m', 'prompt': 'KServe is a'} [e2e-llm-inference-service] [e2e-llm-inference-service] def request( [e2e-llm-inference-service] self, [e2e-llm-inference-service] method, [e2e-llm-inference-service] url, [e2e-llm-inference-service] params=None, [e2e-llm-inference-service] data=None, [e2e-llm-inference-service] headers=None, [e2e-llm-inference-service] cookies=None, [e2e-llm-inference-service] files=None, [e2e-llm-inference-service] auth=None, [e2e-llm-inference-service] timeout=None, [e2e-llm-inference-service] allow_redirects=True, [e2e-llm-inference-service] proxies=None, [e2e-llm-inference-service] hooks=None, [e2e-llm-inference-service] stream=None, [e2e-llm-inference-service] verify=None, [e2e-llm-inference-service] cert=None, [e2e-llm-inference-service] json=None, [e2e-llm-inference-service] ): [e2e-llm-inference-service] """Constructs a :class:`Request `, prepares it and sends it. [e2e-llm-inference-service] Returns :class:`Response ` object. [e2e-llm-inference-service] [e2e-llm-inference-service] :param method: method for the new :class:`Request` object. [e2e-llm-inference-service] :param url: URL for the new :class:`Request` object. [e2e-llm-inference-service] :param params: (optional) Dictionary or bytes to be sent in the query [e2e-llm-inference-service] string for the :class:`Request`. [e2e-llm-inference-service] :param data: (optional) Dictionary, list of tuples, bytes, or file-like [e2e-llm-inference-service] object to send in the body of the :class:`Request`. [e2e-llm-inference-service] :param json: (optional) json to send in the body of the [e2e-llm-inference-service] :class:`Request`. [e2e-llm-inference-service] :param headers: (optional) Dictionary of HTTP Headers to send with the [e2e-llm-inference-service] :class:`Request`. [e2e-llm-inference-service] :param cookies: (optional) Dict or CookieJar object to send with the [e2e-llm-inference-service] :class:`Request`. [e2e-llm-inference-service] :param files: (optional) Dictionary of ``'filename': file-like-objects`` [e2e-llm-inference-service] for multipart encoding upload. [e2e-llm-inference-service] :param auth: (optional) Auth tuple or callable to enable [e2e-llm-inference-service] Basic/Digest/Custom HTTP Auth. [e2e-llm-inference-service] :param timeout: (optional) How long to wait for the server to send [e2e-llm-inference-service] data before giving up, as a float, or a :ref:`(connect timeout, [e2e-llm-inference-service] read timeout) ` tuple. [e2e-llm-inference-service] :type timeout: float or tuple [e2e-llm-inference-service] :param allow_redirects: (optional) Set to True by default. [e2e-llm-inference-service] :type allow_redirects: bool [e2e-llm-inference-service] :param proxies: (optional) Dictionary mapping protocol or protocol and [e2e-llm-inference-service] hostname to the URL of the proxy. [e2e-llm-inference-service] :param hooks: (optional) Dictionary mapping hook name to one event or [e2e-llm-inference-service] list of events, event must be callable. [e2e-llm-inference-service] :param stream: (optional) whether to immediately download the response [e2e-llm-inference-service] content. Defaults to ``False``. [e2e-llm-inference-service] :param verify: (optional) Either a boolean, in which case it controls whether we verify [e2e-llm-inference-service] the server's TLS certificate, or a string, in which case it must be a path [e2e-llm-inference-service] to a CA bundle to use. Defaults to ``True``. When set to [e2e-llm-inference-service] ``False``, requests will accept any TLS certificate presented by [e2e-llm-inference-service] the server, and will ignore hostname mismatches and/or expired [e2e-llm-inference-service] certificates, which will make your application vulnerable to [e2e-llm-inference-service] man-in-the-middle (MitM) attacks. Setting verify to ``False`` [e2e-llm-inference-service] may be useful during local development or testing. [e2e-llm-inference-service] :param cert: (optional) if String, path to ssl client cert file (.pem). [e2e-llm-inference-service] If Tuple, ('cert', 'key') pair. [e2e-llm-inference-service] :rtype: requests.Response [e2e-llm-inference-service] """ [e2e-llm-inference-service] # Create the Request. [e2e-llm-inference-service] req = Request( [e2e-llm-inference-service] method=method.upper(), [e2e-llm-inference-service] url=url, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] files=files, [e2e-llm-inference-service] data=data or {}, [e2e-llm-inference-service] json=json, [e2e-llm-inference-service] params=params or {}, [e2e-llm-inference-service] auth=auth, [e2e-llm-inference-service] cookies=cookies, [e2e-llm-inference-service] hooks=hooks, [e2e-llm-inference-service] ) [e2e-llm-inference-service] prep = self.prepare_request(req) [e2e-llm-inference-service] [e2e-llm-inference-service] proxies = proxies or {} [e2e-llm-inference-service] [e2e-llm-inference-service] settings = self.merge_environment_settings( [e2e-llm-inference-service] prep.url, proxies, stream, verify, cert [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] # Send the request. [e2e-llm-inference-service] send_kwargs = { [e2e-llm-inference-service] "timeout": timeout, [e2e-llm-inference-service] "allow_redirects": allow_redirects, [e2e-llm-inference-service] } [e2e-llm-inference-service] send_kwargs.update(settings) [e2e-llm-inference-service] > resp = self.send(prep, **send_kwargs) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/requests/sessions.py:589: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] request = [e2e-llm-inference-service] kwargs = {'cert': None, 'proxies': OrderedDict(), 'stream': False, 'timeout': 60, ...} [e2e-llm-inference-service] allow_redirects = True, stream = False, hooks = {'response': []} [e2e-llm-inference-service] adapter = [e2e-llm-inference-service] start = 1783437518.871731 [e2e-llm-inference-service] [e2e-llm-inference-service] def send(self, request, **kwargs): [e2e-llm-inference-service] """Send a given PreparedRequest. [e2e-llm-inference-service] [e2e-llm-inference-service] :rtype: requests.Response [e2e-llm-inference-service] """ [e2e-llm-inference-service] # Set defaults that the hooks can utilize to ensure they always have [e2e-llm-inference-service] # the correct parameters to reproduce the previous request. [e2e-llm-inference-service] kwargs.setdefault("stream", self.stream) [e2e-llm-inference-service] kwargs.setdefault("verify", self.verify) [e2e-llm-inference-service] kwargs.setdefault("cert", self.cert) [e2e-llm-inference-service] if "proxies" not in kwargs: [e2e-llm-inference-service] kwargs["proxies"] = resolve_proxies(request, self.proxies, self.trust_env) [e2e-llm-inference-service] [e2e-llm-inference-service] # It's possible that users might accidentally send a Request object. [e2e-llm-inference-service] # Guard against that specific failure case. [e2e-llm-inference-service] if isinstance(request, Request): [e2e-llm-inference-service] raise ValueError("You can only send PreparedRequests.") [e2e-llm-inference-service] [e2e-llm-inference-service] # Set up variables needed for resolve_redirects and dispatching of hooks [e2e-llm-inference-service] allow_redirects = kwargs.pop("allow_redirects", True) [e2e-llm-inference-service] stream = kwargs.get("stream") [e2e-llm-inference-service] hooks = request.hooks [e2e-llm-inference-service] [e2e-llm-inference-service] # Get the appropriate adapter to use [e2e-llm-inference-service] adapter = self.get_adapter(url=request.url) [e2e-llm-inference-service] [e2e-llm-inference-service] # Start time (approximately) of the request [e2e-llm-inference-service] start = preferred_clock() [e2e-llm-inference-service] [e2e-llm-inference-service] # Send the request [e2e-llm-inference-service] > r = adapter.send(request, **kwargs) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/requests/sessions.py:703: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] request = , stream = False [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), verify = '/tmp/ca.crt' [e2e-llm-inference-service] cert = None, proxies = OrderedDict() [e2e-llm-inference-service] [e2e-llm-inference-service] def send( [e2e-llm-inference-service] self, request, stream=False, timeout=None, verify=True, cert=None, proxies=None [e2e-llm-inference-service] ): [e2e-llm-inference-service] """Sends PreparedRequest object. Returns Response object. [e2e-llm-inference-service] [e2e-llm-inference-service] :param request: The :class:`PreparedRequest ` being sent. [e2e-llm-inference-service] :param stream: (optional) Whether to stream the request content. [e2e-llm-inference-service] :param timeout: (optional) How long to wait for the server to send [e2e-llm-inference-service] data before giving up, as a float, or a :ref:`(connect timeout, [e2e-llm-inference-service] read timeout) ` tuple. [e2e-llm-inference-service] :type timeout: float or tuple or urllib3 Timeout object [e2e-llm-inference-service] :param verify: (optional) Either a boolean, in which case it controls whether [e2e-llm-inference-service] we verify the server's TLS certificate, or a string, in which case it [e2e-llm-inference-service] must be a path to a CA bundle to use [e2e-llm-inference-service] :param cert: (optional) Any user-provided SSL certificate to be trusted. [e2e-llm-inference-service] :param proxies: (optional) The proxies dictionary to apply to the request. [e2e-llm-inference-service] :rtype: requests.Response [e2e-llm-inference-service] """ [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] conn = self.get_connection_with_tls_context( [e2e-llm-inference-service] request, verify, proxies=proxies, cert=cert [e2e-llm-inference-service] ) [e2e-llm-inference-service] except LocationValueError as e: [e2e-llm-inference-service] raise InvalidURL(e, request=request) [e2e-llm-inference-service] [e2e-llm-inference-service] self.cert_verify(conn, request.url, verify, cert) [e2e-llm-inference-service] url = self.request_url(request, proxies) [e2e-llm-inference-service] self.add_headers( [e2e-llm-inference-service] request, [e2e-llm-inference-service] stream=stream, [e2e-llm-inference-service] timeout=timeout, [e2e-llm-inference-service] verify=verify, [e2e-llm-inference-service] cert=cert, [e2e-llm-inference-service] proxies=proxies, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] chunked = not (request.body is None or "Content-Length" in request.headers) [e2e-llm-inference-service] [e2e-llm-inference-service] if isinstance(timeout, tuple): [e2e-llm-inference-service] try: [e2e-llm-inference-service] connect, read = timeout [e2e-llm-inference-service] timeout = TimeoutSauce(connect=connect, read=read) [e2e-llm-inference-service] except ValueError: [e2e-llm-inference-service] raise ValueError( [e2e-llm-inference-service] f"Invalid timeout {timeout}. Pass a (connect, read) timeout tuple, " [e2e-llm-inference-service] f"or a single float to set both timeouts to the same value." [e2e-llm-inference-service] ) [e2e-llm-inference-service] elif isinstance(timeout, TimeoutSauce): [e2e-llm-inference-service] pass [e2e-llm-inference-service] else: [e2e-llm-inference-service] timeout = TimeoutSauce(connect=timeout, read=timeout) [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] resp = conn.urlopen( [e2e-llm-inference-service] method=request.method, [e2e-llm-inference-service] url=url, [e2e-llm-inference-service] body=request.body, [e2e-llm-inference-service] headers=request.headers, [e2e-llm-inference-service] redirect=False, [e2e-llm-inference-service] assert_same_host=False, [e2e-llm-inference-service] preload_content=False, [e2e-llm-inference-service] decode_content=False, [e2e-llm-inference-service] retries=self.max_retries, [e2e-llm-inference-service] timeout=timeout, [e2e-llm-inference-service] chunked=chunked, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] except (ProtocolError, OSError) as err: [e2e-llm-inference-service] raise ConnectionError(err, request=request) [e2e-llm-inference-service] [e2e-llm-inference-service] except MaxRetryError as e: [e2e-llm-inference-service] if isinstance(e.reason, ConnectTimeoutError): [e2e-llm-inference-service] # TODO: Remove this in 3.0.0: see #2811 [e2e-llm-inference-service] if not isinstance(e.reason, NewConnectionError): [e2e-llm-inference-service] raise ConnectTimeout(e, request=request) [e2e-llm-inference-service] [e2e-llm-inference-service] if isinstance(e.reason, ResponseError): [e2e-llm-inference-service] raise RetryError(e, request=request) [e2e-llm-inference-service] [e2e-llm-inference-service] if isinstance(e.reason, _ProxyError): [e2e-llm-inference-service] raise ProxyError(e, request=request) [e2e-llm-inference-service] [e2e-llm-inference-service] if isinstance(e.reason, _SSLError): [e2e-llm-inference-service] # This branch is for urllib3 v1.22 and later. [e2e-llm-inference-service] raise SSLError(e, request=request) [e2e-llm-inference-service] [e2e-llm-inference-service] raise ConnectionError(e, request=request) [e2e-llm-inference-service] [e2e-llm-inference-service] except ClosedPoolError as e: [e2e-llm-inference-service] raise ConnectionError(e, request=request) [e2e-llm-inference-service] [e2e-llm-inference-service] except _ProxyError as e: [e2e-llm-inference-service] raise ProxyError(e) [e2e-llm-inference-service] [e2e-llm-inference-service] except (_SSLError, _HTTPError) as e: [e2e-llm-inference-service] if isinstance(e, _SSLError): [e2e-llm-inference-service] # This branch is for urllib3 versions earlier than v1.22 [e2e-llm-inference-service] raise SSLError(e, request=request) [e2e-llm-inference-service] elif isinstance(e, ReadTimeoutError): [e2e-llm-inference-service] > raise ReadTimeout(e, request=request) [e2e-llm-inference-service] E requests.exceptions.ReadTimeout: HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/requests/adapters.py:713: ReadTimeout [e2e-llm-inference-service] ------------------------------ Captured log setup ------------------------------ [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1637 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1586 Checking LLMInferenceServiceConfig router-auth-disabled-auth-disab-10c25f34 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1612 Resource not found, creating LLMInferenceServiceConfig router-auth-disabled-auth-disab-10c25f34 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1622 ✓ Successfully created LLMInferenceServiceConfig router-auth-disabled-auth-disab-10c25f34 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1586 Checking LLMInferenceServiceConfig workload-single-cpu-auth-disabl-11e14414 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1612 Resource not found, creating LLMInferenceServiceConfig workload-single-cpu-auth-disabl-11e14414 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1622 ✓ Successfully created LLMInferenceServiceConfig workload-single-cpu-auth-disabl-11e14414 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1586 Checking LLMInferenceServiceConfig model-fb-opt-125m-auth-disabled-56d5b5f3 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1612 Resource not found, creating LLMInferenceServiceConfig model-fb-opt-125m-auth-disabled-56d5b5f3 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1622 ✓ Successfully created LLMInferenceServiceConfig model-fb-opt-125m-auth-disabled-56d5b5f3 [e2e-llm-inference-service] ------------------------------ Captured log call ------------------------------- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [test_llm_auth_disabled_no_token_required] [2026-07-07T15:16:12.908010] start - args=(), kwargs={'test_case': TestCase(base_refs=['router-auth-disabled', 'workload-single-cpu', 'model-fb-opt-125m'], prompt='KServe is a', service_name='auth-disabled-test', endpoint='/v1/completions', max_tokens=20, payload_formatter=None, response_assertion=, wait_timeout=900, response_timeout=60, extra_headers=None, url_getter=None, expected_gateway=None, before_test=[], after_test=[], peers=[], llm_service={'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': None, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'auth-disabled-test', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-auth-disabled-auth-disab-10c25f34'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-auth-disabl-11e14414'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-auth-disabled-56d5b5f3'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m')} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1637 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [create_llmisvc] [2026-07-07T15:16:12.920771] 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': 'auth-disabled-test', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-auth-disabled-auth-disab-10c25f34'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-auth-disabl-11e14414'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-auth-disabled-56d5b5f3'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [create_llmisvc] [2026-07-07T15:16:13.013598] end - ✅ in 0.093s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [wait_for_llm_isvc_ready] [2026-07-07T15:16:13.013743] 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': 'auth-disabled-test', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-auth-disabled-auth-disab-10c25f34'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-auth-disabl-11e14414'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-auth-disabled-56d5b5f3'}]}, [e2e-llm-inference-service] 'status': None}, 900), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1222 Waiting: No conditions found in status [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1222 Waiting: Missing true conditions: {'Ready', 'RouterReady', 'WorkloadsReady'}, expected {'Ready', 'RouterReady', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-07T15:16:29Z', 'message': 'The following HTTPRoutes are not ready: [kserve-ci-e2e-test/auth-disabled-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': '2026-07-07T15:16:29Z', 'message': 'Inference Pool kserve-ci-e2e-test/auth-disabled-test-inference-pool exists but no Gateway controller has accepted it yet', 'reason': 'WaitingForGateway', 'severity': 'Info', 'status': 'False', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-07T15:16:29Z', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-07T15:16:29Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-07T15:16:29Z', 'message': 'The following HTTPRoutes are not ready: [kserve-ci-e2e-test/auth-disabled-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': '2026-07-07T15:16:29Z', 'message': 'The following HTTPRoutes are not ready: [kserve-ci-e2e-test/auth-disabled-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': '2026-07-07T15:16:29Z', 'message': 'Deployment rollout in progress', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-07T15:16:29Z', 'reason': 'Progressing', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1222 Waiting: Missing true conditions: {'Ready', 'RouterReady', 'WorkloadsReady'}, expected {'Ready', 'RouterReady', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-07T15:16:46Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-07T15:16:46Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-07T15:16:46Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-07T15:16:29Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-07T15:16:46Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-07T15:16:46Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-07T15:16:46Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-07T15:16:46Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1222 Waiting: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'Ready', 'RouterReady', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-07T15:16:46Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-07T15:16:46Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-07T15:16:46Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-07T15:16:29Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-07T15:16:46Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-07T15:17:02Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-07T15:17:02Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-07T15:16:46Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [wait_for_llm_isvc_ready] [2026-07-07T15:18:38.857528] end - ✅ in 145.844s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_llm_service_url] [2026-07-07T15:18:38.857675] 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': 'auth-disabled-test', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-auth-disabled-auth-disab-10c25f34'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-auth-disabl-11e14414'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-auth-disabled-56d5b5f3'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_llm_service_url] [2026-07-07T15:18:38.870917] end - ✅ in 0.013s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_auth.py:578 Testing request WITHOUT token (should succeed when auth disabled) [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:test_llm_auth.py:606 ❌ ERROR: Failed test for auth-disabled-test: HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1240 🔍 # Diagnostics for 'auth-disabled-test' in 'kserve-ci-e2e-test' [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1241 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1242 # LLMInferenceService auth-disabled-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1245 apiVersion: serving.kserve.io/v1alpha1 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] security.opendatahub.io/enable-auth: 'false' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:16:12Z' [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: '2026-07-07T15:16:12Z' [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: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: '2026-07-07T15:16:14Z' [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:addresses: {} [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-decode-template: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-decode-worker-data-parallel: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-prefill-template: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-prefill-worker-data-parallel: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-router-route: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-scheduler: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-template: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-tracing: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-worker-data-parallel: {} [e2e-llm-inference-service] f:appliedConfigs: {} [e2e-llm-inference-service] f:conditions: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:router: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:gateways: {} [e2e-llm-inference-service] f:scheduler: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:inferencePool: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:group: {} [e2e-llm-inference-service] f:kind: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:service: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:group: {} [e2e-llm-inference-service] f:kind: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:url: {} [e2e-llm-inference-service] f:workloads: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:primary: {} [e2e-llm-inference-service] f:scheduler: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-07T15:18:38Z' [e2e-llm-inference-service] name: auth-disabled-test [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] resourceVersion: '30101' [e2e-llm-inference-service] uid: 4654c455-ea4a-4525-9387-073a0a421336 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] baseRefs: [e2e-llm-inference-service] - name: router-auth-disabled-auth-disab-10c25f34 [e2e-llm-inference-service] - name: workload-single-cpu-auth-disabl-11e14414 [e2e-llm-inference-service] - name: model-fb-opt-125m-auth-disabled-56d5b5f3 [e2e-llm-inference-service] model: [e2e-llm-inference-service] name: auth-disabled-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://abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com/ [e2e-llm-inference-service] - name: gateway-external [e2e-llm-inference-service] url: http://abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com/kserve-ci-e2e-test/auth-disabled-test [e2e-llm-inference-service] - name: gateway-internal-model-routing [e2e-llm-inference-service] url: http://openshift-ai-inference-openshift-default.openshift-ingress.svc.cluster.local/ [e2e-llm-inference-service] - name: gateway-internal [e2e-llm-inference-service] url: http://openshift-ai-inference-openshift-default.openshift-ingress.svc.cluster.local/kserve-ci-e2e-test/auth-disabled-test [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] serving.kserve.io/config-llm-decode-template: kserve-config-llm-decode-template [e2e-llm-inference-service] serving.kserve.io/config-llm-decode-worker-data-parallel: kserve-config-llm-decode-worker-data-parallel [e2e-llm-inference-service] serving.kserve.io/config-llm-prefill-template: kserve-config-llm-prefill-template [e2e-llm-inference-service] serving.kserve.io/config-llm-prefill-worker-data-parallel: kserve-config-llm-prefill-worker-data-parallel [e2e-llm-inference-service] serving.kserve.io/config-llm-router-route: kserve-config-llm-router-route [e2e-llm-inference-service] serving.kserve.io/config-llm-scheduler: kserve-config-llm-scheduler [e2e-llm-inference-service] serving.kserve.io/config-llm-template: kserve-config-llm-template [e2e-llm-inference-service] serving.kserve.io/config-llm-tracing: kserve-config-llm-tracing [e2e-llm-inference-service] serving.kserve.io/config-llm-worker-data-parallel: kserve-config-llm-worker-data-parallel [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T15:16:46Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: HTTPRoutesReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T15:16:46Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: InferencePoolReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T15:18:38Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: MainWorkloadReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T15:16:29Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: PresetsCombined [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T15:18:38Z' [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: Ready [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T15:17:02Z' [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: RouterReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T15:17:02Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: SchedulerWorkloadReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T15:18:38Z' [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: WorkloadsReady [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] url: http://abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com/kserve-ci-e2e-test/auth-disabled-test [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:44 TIME NAMESPACE SOURCE TYPE REASON MESSAGE [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:45 -------------------------------------------------------------------------------------------------- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-disabled-test-kserve-c58f655c7-9qnmk to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.36/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:28 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:28 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:32 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:32 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:32 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:18:27 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.36:8000/health": dial tcp 10.134.0.36:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-disabled-test-kserve-c58f655c7-9qnmk [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-disabled-test-kserve-router-scheduler-65b4fbcbbd-p87dh to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:28 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.36/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:28 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:28 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:28 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:29 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:29 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:29 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-disabled-test-kserve-router-scheduler-65b4fbcbbd-p87dh [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-disabled-test-kserve-router-scheduler-65b4fbcbbd from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-disabled-test-kserve-c58f655c7 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:20 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy auth-disabled-test-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/auth-disabled-test-kserve-route: HTTPRoute.gateway.networking.k8s.io "auth-disabled-test-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/auth-disabled-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-disabled-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-disabled-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/auth-disabled-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-disabled-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/auth-disabled-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/auth-disabled-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-disabled-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-disabled-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/auth-disabled-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:44 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/auth-disabled-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:44 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/auth-disabled-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:18:38 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [auth-disabled-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-enabled-test-kserve-6545cfc5c9-w82j8 to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.34/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulling Pulling image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:23 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Successfully pulled image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" in 3.609s (3.609s including waiting). Image size: 301881278 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:23 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:23 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:28 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulling Pulling image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:14 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Successfully pulled image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" in 45.616s (45.616s including waiting). Image size: 3531177328 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:14 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:14 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:59 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.34:8000/health": dial tcp 10.134.0.34:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:14 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-enabled-test-kserve-6545cfc5c9-w82j8 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-enabled-test-kserve-router-scheduler-79bc59d7f5-4xdsg to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.42/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:21 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:22 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" in 1.265s (1.265s including waiting). Image size: 75073927 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:22 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:22 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:14 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:14 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-enabled-test-kserve-router-scheduler-79bc59d7f5-4xdsg [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-enabled-test-kserve-router-scheduler-79bc59d7f5 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-enabled-test-kserve-6545cfc5c9 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/auth-enabled-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-enabled-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-enabled-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/auth-enabled-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-enabled-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/auth-enabled-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/auth-enabled-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-enabled-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-enabled-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/auth-enabled-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:42 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/auth-enabled-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/auth-enabled-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:09 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [auth-enabled-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-enabled-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-invalid-token-test-kserve-686cc8ccdc-k45d6 to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.35/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:55 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:55 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:55 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:41 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.35:8000/health": dial tcp 10.134.0.35:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:52 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:08 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Readiness probe failed: Get "https://10.134.0.35:8000/health": dial tcp 10.134.0.35:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:50 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-invalid-token-test-kserve-686cc8ccdc-k45d6 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-invalid-token-test-kserve-router-scheduler-55fc95f97crkwl9 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-invalid-token-test-kserve-router-scheduler-55fc95f97crkwl9 to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.33/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:53 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:53 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:53 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:52 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:52 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-invalid-token-test-kserve-router-scheduler-55fc95f97c from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:50 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-invalid-token-test-kserve-686cc8ccdc from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/auth-invalid-token-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-invalid-token-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-invalid-token-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/auth-invalid-token-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-invalid-token-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/auth-invalid-token-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/auth-invalid-token-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-invalid-token-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-invalid-token-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/auth-invalid-token-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/auth-invalid-token-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/auth-invalid-token-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:51 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [auth-invalid-token-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:52 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-invalid-token-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:50 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: gw-section-name-router-with-gat-2f0a622e-kserve-7c9c8cffc5mvc8s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve-7c9c8cffc5mvc8s to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:51 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.33/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:51 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:52 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" in 1.225s (1.225s including waiting). Image size: 98346788 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:52 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:52 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:58 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:50 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set gw-section-name-router-with-gat-2f0a622e-kserve-7c9c8cffc5 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/gw-sec0c69dceeb48768325d1a53a749e65786-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.HTTPRoute kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.DestinationRule kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:01 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: gw-section-name-router-with-gat-f1d92d0f-kserve-7bc8dd6c5btwgmp [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve-7bc8dd6c5btwgmp to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:02 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.41/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:02 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:02 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:02 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Warning FailedMount MountVolume.SetUp failed for volume "tls-certs" : secret "gw-sec2774c263d49959f50d9eebc552e13bf9-kserve-self-signed-certs" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:06 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:01 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set gw-section-name-router-with-gat-f1d92d0f-kserve-7bc8dd6c5b from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/gw-sec2774c263d49959f50d9eebc552e13bf9-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.HTTPRoute kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.DestinationRule kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-855b7d474b-8hjhw to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.37/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:43 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:43 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:43 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:18:58 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.37:8000/health": dial tcp 10.134.0.37:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-855b7d474b-8hjhw [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-router-sche2449j to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.47/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:39 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:39 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:40 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:40 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:40 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-router-sche2449j [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-with-7ca60146-kserve-router-scheduler-76cdc676b7 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-with-7ca60146-kserve-855b7d474b from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:34 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-fb-opt-125m-with-7ca60146-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-fb-opt-125m-with-7ca60146-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv3e414c2ba058a022dfd694dbcbac5b51-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test5216bfd716f919dc046bc693ceb22e41-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:57 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv3e414c2ba058a022dfd694dbcbac5b51-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:08 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-fb-opt-125m-with-7ca60146] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve-5c54ddb98fcrnjb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve-5c54ddb98fcrnjb to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.35/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:49 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve-5c54ddb98f from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv08544b88a8d963ffd553cc1f3ed82d16-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test76d7f532acb694e4a7bcef75d32cd8a1-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc08544b88a8d963ffd553cc1f3ed82d16-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:12 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv08544b88a8d963ffd553cc1f3ed82d16-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:47 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-qwen2-5-0-5b-rout-4f8c0978] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test76d7f532acb694e4a7bcef75d32cd8a1-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve-5d8ffd58ddvv5px [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve-5d8ffd58ddvv5px to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.43/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:05 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve-5d8ffd58dd from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisvb11a9c9832b99b016bc8f8e0ea095712-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-testb7025ca4d8a6f8f5b2fd08b5581d2678-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvcb11a9c9832b99b016bc8f8e0ea095712-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:31 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:31 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisvb11a9c9832b99b016bc8f8e0ea095712-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:31 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:03 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-qwen2-5-0-5b-rout-a50492e9] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:05 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-testb7025ca4d8a6f8f5b2fd08b5581d2678-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-bd545d56-nmndd to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.45/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:08 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-router-managed-test-llm-4b931143-kserve-bd545d56-nmndd [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-router-managed-test-llm-4b931143-kserve-bd545d56 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-router-managed-test-llm-4b931143-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-router-managed-test-llm-4b931143-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisvca2d2d7d499abb359505529ebe02c136-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test8ac8e3d2264ccb939eb021b0b835847c-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:18 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisvca2d2d7d499abb359505529ebe02c136-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:18 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:39 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-router-managed-test-llm-4b931143] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:08 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test8ac8e3d2264ccb939eb021b0b835847c-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-router-managed-test-llm-5b1e8f15-kserve-64df7bddb4nzblz [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-64df7bddb4nzblz to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:29 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.31/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:29 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:29 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:29 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:25 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-router-managed-test-llm-5b1e8f15-kserve-64df7bddb4 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:23 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-router-managed-test-llm-5b1e8f15-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-router-managed-test-llm-5b1e8f15-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisve55ae740357a3a31a27cdb8b66ffe20f-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test7f54e84970003a6e7372bdbcb574f7ed-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:39 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisve55ae740357a3a31a27cdb8b66ffe20f-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:01 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-router-managed-test-llm-5b1e8f15] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test7f54e84970003a6e7372bdbcb574f7ed-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-router-managed-test-llm-e45d1f79-kserve-7fdbbd4879d6nsg [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-7fdbbd4879d6nsg to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.29/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:52 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-router-managed-test-llm-e45d1f79-kserve-7fdbbd4879 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-router-managed-test-llm-e45d1f79-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-router-managed-test-llm-e45d1f79-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv5c7e67b6c51568d1d6d13829a9337f2a-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-testef4d2875be14b30dc1561ed84d0d4bde-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc5c7e67b6c51568d1d6d13829a9337f2a-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv5c7e67b6c51568d1d6d13829a9337f2a-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:52 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-router-managed-test-llm-e45d1f79] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:52 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-testef4d2875be14b30dc1561ed84d0d4bde-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc08544b88a8d963ffd553cc1f3ed82d16-kserve-router-schez7qcx [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc08544b88a8d963ffd553cc1f3ed82d16-kserve-router-scheduler-6fcb489785 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc08544b88a8d963ffd553cc1f3ed82d16-kserve-router-schez7qcx to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.46/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:03 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:03 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:49 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:49 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc5c7e67b6c51568d1d6d13829a9337f2a-kserve-router-schejbsn9 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc5c7e67b6c51568d1d6d13829a9337f2a-kserve-router-scheduler-5dd88bfbb7 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc5c7e67b6c51568d1d6d13829a9337f2a-kserve-router-schejbsn9 to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.30/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:20 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:20 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:52 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:52 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvcb11a9c9832b99b016bc8f8e0ea095712-kserve-router-schefwv9g [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvcb11a9c9832b99b016bc8f8e0ea095712-kserve-router-scheduler-6d86bd4d9d from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvcb11a9c9832b99b016bc8f8e0ea095712-kserve-router-schefwv9g to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:25 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.44/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:25 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:25 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:25 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:05 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:05 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-schepv8bq [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-scheduler-68cc9685d6 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-schepv8bq to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.34/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:07 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:07 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:07 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:08 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:09 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-schegq6m5 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-scheduler-749449dbc8 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-schegq6m5 to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:29 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.32/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:29 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:29 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:29 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:25 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:25 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/precise-prefix-cache-test-kserve-7cccfc8969-5jsv7 to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.40/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:45 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:47 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" in 1.17s (1.17s including waiting). Image size: 98346788 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:47 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:47 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:53 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/precise-prefix-cache-test-kserve-7cccfc8969-hgnwf to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.27/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulling Pulling image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:45 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Successfully pulled image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" in 3.856s (3.856s including waiting). Image size: 301881278 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:45 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:45 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:50 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:52 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" in 1.366s (1.366s including waiting). Image size: 98346788 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:52 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:52 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:53 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: precise-prefix-cache-test-kserve-7cccfc8969-5jsv7 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: precise-prefix-cache-test-kserve-7cccfc8969-hgnwf [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: precise-prefix-cache-test-kserve-router-scheduler-574f7b5bkxs85 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/precise-prefix-cache-test-kserve-router-scheduler-574f7b5bkxs85 to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:42 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.28/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:42 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulling Pulling image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:45 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Successfully pulled image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" in 3.25s (3.25s including waiting). Image size: 301881278 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:45 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:45 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:46 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:48 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" in 1.812s (1.812s including waiting). Image size: 75073927 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:21 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:21 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:48 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-uds-tokenizer:vllm-v0.19.1" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:20 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-uds-tokenizer:vllm-v0.19.1" in 31.967s (31.967s including waiting). Image size: 2989890188 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:20 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: tokenizer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:20 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container tokenizer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:21 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:43 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Warning Unhealthy Liveness probe failed: timeout: failed to connect service "10.133.0.28:9003" within 1s: context deadline exceeded [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:53 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container tokenizer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:53 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:53 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set precise-prefix-cache-test-kserve-router-scheduler-574f7b5bf from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set precise-prefix-cache-test-kserve-7cccfc8969 from 0 to 2 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:37 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy precise-prefix-cache-test-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/precise-prefix-cache-test-kserve-route: HTTPRoute.gateway.networking.k8s.io "precise-prefix-cache-test-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:40 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/precise-prefix-cache-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/precise-prefix-cache-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/precise-prefix-cache-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/precise-prefix-cache-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-precise-prefix-cache-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/precise-prefix-cache-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/precise-prefix-cache-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/precise-prefix-cache-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/precise-prefix-cache-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:56 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/precise-prefix-cache-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:55 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/precise-prefix-cache-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:56 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/precise-prefix-cache-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:52 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [precise-prefix-cache-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:53 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test-precise-prefix-cache-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-1-openshift-default-857cf9f944-p7rxk to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:32 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.32/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:33 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:33 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:33 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:18 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning BackOff Back-off restarting failed container istio-proxy in pod router-gateway-1-openshift-default-857cf9f944-p7rxk_kserve-ci-e2e-test(70147199-b9b1-413d-838d-76f6d8f9b3e2) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:32 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-1-openshift-default-857cf9f944-p7rxk [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:32 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-gateway-1-openshift-default-857cf9f944 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:32 kserve-ci-e2e-test service-controller Normal EnsuringLoadBalancer Ensuring load balancer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:35 kserve-ci-e2e-test service-controller Normal EnsuredLoadBalancer Ensured load balancer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:53 kserve-ci-e2e-test gateway_labeler_controller Normal AddedLabel Added label istio.io/rev=openshift-gateway to gateway router-gateway-1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:148 ### Pod auth-disabled-test-kserve-c58f655c7-9qnmk (phase=Running) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:188 #### init-container 'storage-initializer' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:201 # -- logs (current) -- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:202 2026-07-07 15:16:28.281 1 storage.initializer INFO [initializer-entrypoint:():17] Initializing, args: (src_uri, dest_path): [('hf://facebook/opt-125m', '/mnt/models')] [e2e-llm-inference-service] 2026-07-07 15:16:28.281 1 storage.initializer INFO [kserve_storage.py:download():166] Copying contents of hf://facebook/opt-125m to local [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/wPaCkH-WbT7GsmxMKKrNZTV4nSM=.ac481c8eb05e4d2496fbe076a38a7b4835dd733d.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_70d6b576-cfc0-4333-af66-ee081601f9ef'. [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_209472d5-b8e6-43c0-9756-1b02c945e149'. [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_a9565686-df5c-4886-aa08-a1d79c298d49'. [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_4d74c83a-824b-4571-a32d-70f2094739b5'. [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_1cad771b-c5e0-4f1e-97d2-990907a19715'. [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_bdf0d6fa-107b-4298-b4fe-a75d49fd21ca'. [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_7f39943e-361e-4d4c-9c65-ccf4a098e14f'. [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_f1dc16b5-82fd-493e-b6fb-3a3f94bebc89'. [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_1b79fe87-3673-4821-aa65-5a6c7c511868'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/a7eHxRFT3OeMBIFg52k2nfj5m7w=.db7090b0c8b34dd957a7e0656c718f978f9203cc874018f37dda44108be5970a.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_80710701-ed92-43bd-bf59-217e38cc4c0f'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/vzaExXFZNBay89bvlQv-ZcI6BTg=.27c24ca9d908d0b678b20c698aeb9e950c44d865.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_90f199c3-614e-410f-b44d-6f3a951a3470'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/j3m-Hy6QvBddw8RXA1uSWl1AJ0c=.0a39732b2d8be8e493cab3da68b68cc3e28221de.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_fac74b9f-e09d-4a39-ba33-efcbb7082c4c'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] 2026-07-07 15:16:31.698 1 storage.initializer INFO [kserve_storage.py:download():234] Successfully copied hf://facebook/opt-125m to /mnt/models [e2e-llm-inference-service] 2026-07-07 15:16:31.698 1 storage.initializer INFO [kserve_storage.py:download():235] Model downloaded in 3.417474312000195 seconds. [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:188 #### container 'main' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:201 # -- logs (current) -- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:202 (EngineCore pid=70) DEBUG 07-07 15:17:44 [plugins/__init__.py:44] Available plugins for group vllm.general_plugins: [e2e-llm-inference-service] (EngineCore pid=70) DEBUG 07-07 15:17:44 [plugins/__init__.py:46] - lora_filesystem_resolver -> vllm.plugins.lora_resolvers.filesystem_resolver:register_filesystem_resolver [e2e-llm-inference-service] (EngineCore pid=70) DEBUG 07-07 15:17:44 [plugins/__init__.py:46] - lora_hf_hub_resolver -> vllm.plugins.lora_resolvers.hf_hub_resolver:register_hf_hub_resolver [e2e-llm-inference-service] (EngineCore pid=70) DEBUG 07-07 15:17:44 [plugins/__init__.py:49] All plugins in this group will be loaded. Set `VLLM_PLUGINS` to control which plugins to load. [e2e-llm-inference-service] (EngineCore pid=70) INFO 07-07 15:17:44 [v1/engine/core.py:105] Initializing a V1 LLM engine (v0.19.0) with config: model='/mnt/models', speculative_config=None, tokenizer='/mnt/models', skip_tokenizer_init=False, tokenizer_mode=auto, revision=None, tokenizer_revision=None, trust_remote_code=False, dtype=torch.float16, max_seq_len=2048, download_dir=None, load_format=auto, tensor_parallel_size=1, pipeline_parallel_size=1, data_parallel_size=1, decode_context_parallel_size=1, dcp_comm_backend=ag_rs, disable_custom_all_reduce=True, quantization=None, enforce_eager=False, enable_return_routed_experts=False, kv_cache_dtype=auto, device_config=cpu, structured_outputs_config=StructuredOutputsConfig(backend='auto', disable_any_whitespace=False, disable_additional_properties=False, reasoning_parser='', reasoning_parser_plugin='', enable_in_reasoning=False), observability_config=ObservabilityConfig(show_hidden_metrics_for_version=None, otlp_traces_endpoint=None, collect_detailed_traces=None, kv_cache_metrics=False, kv_cache_metrics_sample=0.01, cudagraph_metrics=False, enable_layerwise_nvtx_tracing=False, enable_mfu_metrics=False, enable_mm_processor_stats=False, enable_logging_iteration_details=False), seed=0, served_model_name=facebook/opt-125m, enable_prefix_caching=True, enable_chunked_prefill=True, pooler_config=None, compilation_config={'mode': , 'debug_dump_path': None, 'cache_dir': '', 'compile_cache_save_format': 'binary', 'backend': 'inductor', 'custom_ops': ['none'], 'splitting_ops': [], 'compile_mm_encoder': False, 'cudagraph_mm_encoder': False, 'encoder_cudagraph_token_budgets': [], 'encoder_cudagraph_max_images_per_batch': 0, 'compile_sizes': None, 'compile_ranges_endpoints': [2048], 'inductor_compile_config': {'enable_auto_functionalized_v2': False, 'size_asserts': False, 'alignment_asserts': True, 'scalar_asserts': True, 'dce': True, 'nan_asserts': False, 'epilogue_fusion': True, 'cpp.dynamic_threads': True}, 'inductor_passes': {}, 'cudagraph_mode': , 'cudagraph_num_of_warmups': 0, 'cudagraph_capture_sizes': [], 'cudagraph_copy_inputs': False, 'cudagraph_specialize_lora': True, 'use_inductor_graph_partition': False, 'pass_config': {'fuse_norm_quant': False, 'fuse_act_quant': False, 'fuse_attn_quant': False, 'enable_sp': False, 'fuse_gemm_comms': False, 'fuse_allreduce_rms': False}, 'max_cudagraph_capture_size': None, 'dynamic_shapes_config': {'type': , 'evaluate_guards': False, 'assume_32_bit_indexing': False}, 'local_cache_dir': None, 'fast_moe_cold_start': True, 'static_all_moe_layers': []} [e2e-llm-inference-service] (EngineCore pid=70) DEBUG 07-07 15:17:44 [compilation/decorators.py:213] Inferred dynamic dimensions for forward method of : ['input_ids', 'positions', 'intermediate_tensors', 'inputs_embeds'] [e2e-llm-inference-service] (EngineCore pid=70) DEBUG 07-07 15:17:44 [compilation/decorators.py:213] Inferred dynamic dimensions for forward method of : ['input_ids', 'positions', 'hidden_states', 'input_embeds'] [e2e-llm-inference-service] (EngineCore pid=70) DEBUG 07-07 15:17:44 [compilation/decorators.py:213] Inferred dynamic dimensions for forward method of : ['input_ids', 'positions', 'intermediate_tensors', 'inputs_embeds'] [e2e-llm-inference-service] (EngineCore pid=70) DEBUG 07-07 15:17:44 [compilation/decorators.py:213] Inferred dynamic dimensions for forward method of : ['num_tokens_no_spec', 'token_ids_gpu', 'combined_mask'] [e2e-llm-inference-service] (EngineCore pid=70) INFO 07-07 15:17:44 [v1/worker/cpu_worker.py:236] auto thread-binding list (id, physical core): [(4, 0), (5, 1), (6, 2), (7, 3)] [e2e-llm-inference-service] [W707 15:17:44.987582176 utils.cpp:76] Warning: numa_migrate_pages failed. errno: 1 (function init_cpu_threads_env) [e2e-llm-inference-service] [W707 15:17:44.987611722 utils.cpp:103] Warning: NUMA binding: Using MEMBIND policy for memory allocation on the NUMA nodes (0). Memory allocations will be strictly bound to these NUMA nodes. (function init_cpu_threads_env) [e2e-llm-inference-service] (EngineCore pid=70) INFO 07-07 15:17:44 [v1/worker/cpu_worker.py:109] OMP threads binding of Process 70: [e2e-llm-inference-service] (EngineCore pid=70) INFO 07-07 15:17:44 [v1/worker/cpu_worker.py:109] OMP tid: 70, core 4 [e2e-llm-inference-service] (EngineCore pid=70) INFO 07-07 15:17:44 [v1/worker/cpu_worker.py:109] OMP tid: 87, core 5 [e2e-llm-inference-service] (EngineCore pid=70) INFO 07-07 15:17:44 [v1/worker/cpu_worker.py:109] OMP tid: 88, core 6 [e2e-llm-inference-service] (EngineCore pid=70) INFO 07-07 15:17:44 [v1/worker/cpu_worker.py:109] OMP tid: 89, core 7 [e2e-llm-inference-service] (EngineCore pid=70) INFO 07-07 15:17:44 [v1/worker/cpu_worker.py:109] [e2e-llm-inference-service] (EngineCore pid=70) DEBUG 07-07 15:17:44 [distributed/parallel_state.py:1356] world_size=1 rank=0 local_rank=0 distributed_init_method=tcp://10.134.0.36:50393 backend=gloo [e2e-llm-inference-service] (EngineCore pid=70) INFO 07-07 15:17:44 [distributed/parallel_state.py:1400] world_size=1 rank=0 local_rank=0 distributed_init_method=tcp://10.134.0.36:50393 backend=gloo [e2e-llm-inference-service] [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 [e2e-llm-inference-service] [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 [e2e-llm-inference-service] [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 [e2e-llm-inference-service] (EngineCore pid=70) DEBUG 07-07 15:17:44 [distributed/parallel_state.py:1459] Detected 1 nodes in the distributed environment [e2e-llm-inference-service] [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 [e2e-llm-inference-service] [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 [e2e-llm-inference-service] [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 [e2e-llm-inference-service] [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 [e2e-llm-inference-service] [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 [e2e-llm-inference-service] [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 [e2e-llm-inference-service] [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 [e2e-llm-inference-service] [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 [e2e-llm-inference-service] [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 [e2e-llm-inference-service] [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 [e2e-llm-inference-service] (EngineCore pid=70) INFO 07-07 15:17:44 [distributed/parallel_state.py:1716] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, PCP rank 0, TP rank 0, EP rank N/A, EPLB rank N/A [e2e-llm-inference-service] (EngineCore pid=70) DEBUG 07-07 15:17:44 [v1/sample/logits_processor/__init__.py:65] No logitsprocs plugins installed (group vllm.logits_processors). [e2e-llm-inference-service] (EngineCore pid=70) DEBUG 07-07 15:17:44 [model_executor/offloader/base.py:107] Offloader set to NoopOffloader (no offloading). [e2e-llm-inference-service] (EngineCore pid=70) INFO 07-07 15:17:44 [v1/worker/cpu_model_runner.py:71] Starting to load model /mnt/models... [e2e-llm-inference-service] (EngineCore pid=70) DEBUG 07-07 15:17:45 [compilation/decorators.py:213] Inferred dynamic dimensions for forward method of : ['input_ids', 'positions', 'intermediate_tensors', 'inputs_embeds'] [e2e-llm-inference-service] (EngineCore pid=70) DEBUG 07-07 15:17:45 [config/compilation.py:1194] enabled custom ops: Counter() [e2e-llm-inference-service] (EngineCore pid=70) DEBUG 07-07 15:17:45 [config/compilation.py:1195] disabled custom ops: Counter({'vocab_parallel_embedding': 1, 'logits_processor': 1}) [e2e-llm-inference-service] (EngineCore pid=70) DEBUG 07-07 15:17:45 [model_executor/model_loader/base_loader.py:63] Loading weights on cpu ... [e2e-llm-inference-service] (EngineCore pid=70) Loading pt checkpoint shards: 0% Completed | 0/1 [00:00 [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:17:54 [v1/engine/utils.py:1047] Waiting for 1 local, 0 remote core engine proc(s) to start. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:18:04 [v1/engine/utils.py:1047] Waiting for 1 local, 0 remote core engine proc(s) to start. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:18:14 [v1/engine/utils.py:1047] Waiting for 1 local, 0 remote core engine proc(s) to start. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:18:24 [v1/engine/utils.py:1047] Waiting for 1 local, 0 remote core engine proc(s) to start. [e2e-llm-inference-service] (EngineCore pid=70) INFO 07-07 15:18:25 [compilation/decorators.py:640] saved AOT compiled function to /home/.cache/vllm/torch_compile_cache/torch_aot_compile/86c9c3c579382eef68a98ac1d59b39811ba08abef3b4e90675a32c8dec3d7c90/rank_0_0/model [e2e-llm-inference-service] (EngineCore pid=70) INFO 07-07 15:18:27 [compilation/monitor.py:76] Initial profiling/warmup run took 1.36 s [e2e-llm-inference-service] (EngineCore pid=70) INFO 07-07 15:18:27 [v1/worker/cpu_model_runner.py:92] Warming up done. [e2e-llm-inference-service] (EngineCore pid=70) INFO 07-07 15:18:27 [v1/engine/core.py:283] init engine (profile, create kv cache, warmup model) took 41.89 seconds [e2e-llm-inference-service] (EngineCore pid=70) DEBUG 07-07 15:18:27 [tokenizers/registry.py:68] Loading CachedHfTokenizer for tokenizer_mode='hf' [e2e-llm-inference-service] (EngineCore pid=70) DEBUG 07-07 15:18:27 [utils/gc_utils.py:40] GC Debug Config. enabled:False,top_objects:-1 [e2e-llm-inference-service] (EngineCore pid=70) INFO 07-07 15:18:27 [config/vllm.py:790] Asynchronous scheduling is disabled. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:18:27 [v1/engine/utils.py:1158] READY from local core engine process 0. [e2e-llm-inference-service] (EngineCore pid=70) WARNING 07-07 15:18:27 [config/vllm.py:859] Inductor compilation was disabled by user settings, optimizations settings that are only active during inductor compilation will be ignored. [e2e-llm-inference-service] (EngineCore pid=70) DEBUG 07-07 15:18:27 [v1/engine/core.py:1158] EngineCore waiting for work. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:18:27 [v1/metrics/loggers.py:273] Engine 000: vllm cache_config_info with initialization after num_gpu_blocks is: 227 [e2e-llm-inference-service] (EngineCore pid=70) DEBUG 07-07 15:18:27 [v1/engine/core.py:1158] EngineCore waiting for work. [e2e-llm-inference-service] (EngineCore pid=70) DEBUG 07-07 15:18:27 [v1/engine/core.py:1158] EngineCore waiting for work. [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 15:18:27 [entrypoints/openai/api_server.py:590] Supported tasks: ['generate'] [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:18:28 [renderers/base.py:197] Warming up chat template processing... [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:18:28 [renderers/hf.py:122] Failed to load AutoTokenizer chat template for /mnt/models [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:18:28 [renderers/hf.py:122] Traceback (most recent call last): [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:18:28 [renderers/hf.py:122] File "/opt/venv/lib/python3.12/site-packages/vllm/renderers/hf.py", line 120, in resolve_chat_template [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:18:28 [renderers/hf.py:122] return tokenizer.get_chat_template(chat_template, tools=tools) [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:18:28 [renderers/hf.py:122] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:18:28 [renderers/hf.py:122] File "/opt/venv/lib/python3.12/site-packages/transformers/tokenization_utils_base.py", line 1825, in get_chat_template [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:18:28 [renderers/hf.py:122] raise ValueError( [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:18:28 [renderers/hf.py:122] ValueError: Cannot use chat template functions because tokenizer.chat_template is not set and no template argument was passed! For information about writing templates and setting the tokenizer.chat_template attribute, please see the documentation at https://huggingface.co/docs/transformers/main/en/chat_templating [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:18:28 [renderers/hf.py:141] There is no chat template fallback for /mnt/models [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 15:18:28 [renderers/hf.py:314] Detected the chat template content format to be 'string'. You can set `--chat-template-content-format` to override this. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:18:28 [renderers/hf.py:122] Failed to load AutoTokenizer chat template for /mnt/models [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:18:28 [renderers/hf.py:122] Traceback (most recent call last): [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:18:28 [renderers/hf.py:122] File "/opt/venv/lib/python3.12/site-packages/vllm/renderers/hf.py", line 120, in resolve_chat_template [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:18:28 [renderers/hf.py:122] return tokenizer.get_chat_template(chat_template, tools=tools) [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:18:28 [renderers/hf.py:122] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:18:28 [renderers/hf.py:122] File "/opt/venv/lib/python3.12/site-packages/transformers/tokenization_utils_base.py", line 1825, in get_chat_template [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:18:28 [renderers/hf.py:122] raise ValueError( [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:18:28 [renderers/hf.py:122] ValueError: Cannot use chat template functions because tokenizer.chat_template is not set and no template argument was passed! For information about writing templates and setting the tokenizer.chat_template attribute, please see the documentation at https://huggingface.co/docs/transformers/main/en/chat_templating [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:18:28 [renderers/base.py:205] This model does not support chat template. [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 15:18:28 [entrypoints/openai/api_server.py:594] Starting vLLM server on https://0.0.0.0:8000 [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 15:18:28 [entrypoints/launcher.py:37] Available routes are: [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 15:18:28 [entrypoints/launcher.py:46] Route: /openapi.json, Methods: HEAD, GET [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 15:18:28 [entrypoints/launcher.py:46] Route: /docs, Methods: HEAD, GET [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 15:18:28 [entrypoints/launcher.py:46] Route: /docs/oauth2-redirect, Methods: HEAD, GET [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 15:18:28 [entrypoints/launcher.py:46] Route: /redoc, Methods: HEAD, GET [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 15:18:28 [entrypoints/launcher.py:46] Route: /tokenize, Methods: POST [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 15:18:28 [entrypoints/launcher.py:46] Route: /detokenize, Methods: POST [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 15:18:28 [entrypoints/launcher.py:46] Route: /load, Methods: GET [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 15:18:28 [entrypoints/launcher.py:46] Route: /version, Methods: GET [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 15:18:28 [entrypoints/launcher.py:46] Route: /health, Methods: GET [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 15:18:28 [entrypoints/launcher.py:46] Route: /metrics, Methods: GET [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 15:18:28 [entrypoints/launcher.py:46] Route: /v1/models, Methods: GET [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 15:18:28 [entrypoints/launcher.py:46] Route: /ping, Methods: GET [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 15:18:28 [entrypoints/launcher.py:46] Route: /ping, Methods: POST [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 15:18:28 [entrypoints/launcher.py:46] Route: /invocations, Methods: POST [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 15:18:28 [entrypoints/launcher.py:46] Route: /v1/chat/completions, Methods: POST [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 15:18:28 [entrypoints/launcher.py:46] Route: /v1/chat/completions/batch, Methods: POST [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 15:18:28 [entrypoints/launcher.py:46] Route: /v1/responses, Methods: POST [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 15:18:28 [entrypoints/launcher.py:46] Route: /v1/responses/{response_id}, Methods: GET [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 15:18:28 [entrypoints/launcher.py:46] Route: /v1/responses/{response_id}/cancel, Methods: POST [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 15:18:28 [entrypoints/launcher.py:46] Route: /v1/completions, Methods: POST [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 15:18:28 [entrypoints/launcher.py:46] Route: /v1/messages, Methods: POST [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 15:18:28 [entrypoints/launcher.py:46] Route: /v1/messages/count_tokens, Methods: POST [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 15:18:28 [entrypoints/launcher.py:46] Route: /inference/v1/generate, Methods: POST [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 15:18:28 [entrypoints/launcher.py:46] Route: /scale_elastic_ep, Methods: POST [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 15:18:28 [entrypoints/launcher.py:46] Route: /is_scaling_elastic_ep, Methods: POST [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 15:18:28 [entrypoints/launcher.py:46] Route: /v1/chat/completions/render, Methods: POST [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 15:18:28 [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 07-07 15:18:28 [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 07-07 15:18:37 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:18:37 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:18:38 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:18:39 [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 07-07 15:18:39 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:18:40 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:18:41 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:18:42 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:18:43 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:18:44 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:18:45 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:18:46 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:18:47 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:18:47 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:18:48 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:18:49 [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 07-07 15:18:49 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:18:50 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:18:51 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:18:52 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:18:53 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:18:54 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:18:55 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:18:56 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:18:57 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:18:57 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:18:58 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:18:59 [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 07-07 15:18:59 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:19:00 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:19:01 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:19:02 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:19:03 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:19:04 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:19:05 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:19:06 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:19:07 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:19:07 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:19:08 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:19:09 [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 07-07 15:19:09 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:19:10 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:19:11 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:19:12 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:19:13 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:19:14 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:19:15 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:19:16 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:19:17 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:19:17 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:19:18 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:19:19 [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 07-07 15:19:19 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:19:20 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:19:21 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:19:22 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:19:23 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:19:24 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:19:25 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:19:26 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:19:27 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:19:27 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:19:28 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:19:29 [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 07-07 15:19:29 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:19:30 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:19:31 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:19:32 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:19:33 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:19:34 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:19:35 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:19:36 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:19:37 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:19:37 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:19:38 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:19:39 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:148 ### Pod auth-disabled-test-kserve-router-scheduler-65b4fbcbbd-p87dh (phase=Running) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:188 #### init-container 'storage-initializer' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:201 # -- logs (current) -- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:202 2026-07-07 15:16:28.609 1 storage.initializer INFO [initializer-entrypoint:():17] Initializing, args: (src_uri, dest_path): [('hf://facebook/opt-125m', '/mnt/models')] [e2e-llm-inference-service] 2026-07-07 15:16:28.609 1 storage.initializer INFO [kserve_storage.py:download():166] Copying contents of hf://facebook/opt-125m to local [e2e-llm-inference-service] 2026-07-07 15:16:28.609 1 storage.initializer INFO [kserve_storage.py:download():169] Allow patterns: ['tokenizer.json', 'tokenizer_config.json', 'special_tokens_map.json', 'vocab.json', 'merges.txt', 'config.json', 'generation_config.json'] [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/8_PA_wEVGiVa2goH2H4KQOQpvVY=.b3fb716a3024261980becb2382e31a3780985130.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_ae81cd6d-1310-459d-8d1a-3ff4438ba22d'. [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_83568dd1-0694-4f42-8edd-9a975786a924'. [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_03b41f46-beb7-4767-af8e-e667f2abdd9f'. [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_54b01040-6992-4424-b88c-eed8c064cf11'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/vzaExXFZNBay89bvlQv-ZcI6BTg=.27c24ca9d908d0b678b20c698aeb9e950c44d865.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_60fcd6ab-18f7-4579-9def-02b15932ff47'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/j3m-Hy6QvBddw8RXA1uSWl1AJ0c=.0a39732b2d8be8e493cab3da68b68cc3e28221de.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_ca575ff3-70a2-4953-8679-d6ca5b966a73'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] 2026-07-07 15:16:29.037 1 storage.initializer INFO [kserve_storage.py:download():234] Successfully copied hf://facebook/opt-125m to /mnt/models [e2e-llm-inference-service] 2026-07-07 15:16:29.037 1 storage.initializer INFO [kserve_storage.py:download():235] Model downloaded in 0.4279899780001415 seconds. [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:188 #### container 'main' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:201 # -- logs (current) -- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:202 {"level":"info","ts":1783437390.029101,"logger":"setup","caller":"runner/runner.go:196","msg":"GIE build","commit-sha":"181aa8358916e19b8844ccc752b2d6153d4b2ad6","build-ref":"v0.9.0-rc.2"} [e2e-llm-inference-service] Flag --model-server-metrics-scheme has been deprecated, This flag is deprecated. Configure via EndpointPickerConfig data layer plugin parameters instead. [e2e-llm-inference-service] {"level":"info","ts":1783437390.0293517,"logger":"setup","caller":"runner/runner.go:217","msg":"Flags processed","flags":{"cert-path":"/var/run/kserve/tls","config-file":"","config-text":"apiVersion: inference.networking.x-k8s.io/v1alpha1\nkind: EndpointPickerConfig\nplugins:\n- type: single-profile-handler\n- type: queue-scorer\n- type: prefix-cache-scorer\n- type: max-score-picker\nschedulingProfiles:\n- name: default\n plugins:\n - pluginRef: queue-scorer\n weight: 2\n - pluginRef: prefix-cache-scorer\n weight: 3\n - pluginRef: max-score-picker\n","disable-endpoint-subset-filter":false,"enable-cert-reload":true,"enable-grpc-stream-metrics":false,"enable-pprof":true,"endpoint-selector":"","endpoint-target-ports":{},"grpc-health-port":9003,"grpc-max-recv-msg-size":"","grpc-max-send-msg-size":"","grpc-port":9002,"ha-enable-leader-election":false,"health-checking":false,"metrics-endpoint-auth":true,"metrics-port":9090,"metrics-staleness-threshold":2000000000,"model-server-metrics-https-insecure-skip-verify":true,"model-server-metrics-path":"/metrics","model-server-metrics-port":0,"model-server-metrics-scheme":"https","pool-group":"inference.networking.k8s.io","pool-name":"auth-disabled-test-inference-pool","pool-namespace":"kserve-ci-e2e-test","refresh-metrics-interval":50000000,"refresh-prometheus-metrics-interval":5000000000,"secure-serving":true,"tracing":true,"v":2,"zap-devel":{},"zap-encoder":{},"zap-log-level":{},"zap-stacktrace-level":{},"zap-time-encoding":{}}} [e2e-llm-inference-service] {"level":"info","ts":1783437390.0295715,"logger":"setup.trace","caller":"tracing/telemetry.go:123","msg":"init OTel trace exporter","type":"console"} [e2e-llm-inference-service] {"level":"info","ts":1783437390.030875,"caller":"loader/configloader.go:89","msg":"DEPRECATION: apiVersion inference.networking.x-k8s.io/v1alpha1/EndpointPickerConfig is deprecated","replacement":"llm-d.ai/v1alpha1/EndpointPickerConfig"} [e2e-llm-inference-service] {"level":"info","ts":1783437390.030927,"caller":"loader/configloader.go:121","msg":"Loaded raw configuration","config":"{Plugins: [{Type: single-profile-handler} {Type: queue-scorer} {Type: prefix-cache-scorer} {Type: max-score-picker}], SchedulingProfiles: [{Name: default, Plugins: [{PluginRef: queue-scorer, Weight: 2.00} {PluginRef: prefix-cache-scorer, Weight: 3.00} {PluginRef: max-score-picker}]}]}"} [e2e-llm-inference-service] {"level":"info","ts":1783437390.030938,"logger":"setup","caller":"runner/runner.go:622","msg":"Data layer: ENABLED"} [e2e-llm-inference-service] {"level":"info","ts":1783437390.0312731,"logger":"setup","caller":"runner/runner.go:281","msg":"Raw config after phase one","config":{"apiVersion":"inference.networking.x-k8s.io/v1alpha1","dataLayer":null,"kind":"EndpointPickerConfig","plugins":[{"name":"single-profile-handler","parameters":null,"type":"single-profile-handler"},{"name":"queue-scorer","parameters":null,"type":"queue-scorer"},{"name":"prefix-cache-scorer","parameters":null,"type":"prefix-cache-scorer"},{"name":"max-score-picker","parameters":null,"type":"max-score-picker"}],"schedulingProfiles":[{"name":"default","plugins":[{"pluginRef":"queue-scorer","weight":2},{"pluginRef":"prefix-cache-scorer","weight":3},{"pluginRef":"max-score-picker","weight":null}]}]}} [e2e-llm-inference-service] {"level":"info","ts":1783437390.055251,"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":1783437390.055388,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"vllm","mapping":"Mapping{all specs enabled}"} [e2e-llm-inference-service] {"level":"info","ts":1783437390.055425,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"sglang","mapping":"Mapping{disabled: [lora]}"} [e2e-llm-inference-service] {"level":"info","ts":1783437390.0554645,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"trtllm-serve","mapping":"Mapping{disabled: [lora, cacheInfo]}"} [e2e-llm-inference-service] {"level":"info","ts":1783437390.055527,"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":1783437390.055548,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"triton","mapping":"Mapping{disabled: [kv, lora, cacheInfo]}"} [e2e-llm-inference-service] {"level":"info","ts":1783437390.0556123,"caller":"loader/configloader.go:154","msg":"Instantiated all plugins and applied system defaults. Effective raw configuration","config":"{Plugins: [{Name: single-profile-handler, Type: single-profile-handler} {Name: queue-scorer, Type: queue-scorer} {Name: prefix-cache-scorer, Type: prefix-cache-scorer} {Name: max-score-picker, Type: max-score-picker} {Name: fcfs-ordering-policy, Type: fcfs-ordering-policy} {Name: global-strict-fairness-policy, Type: global-strict-fairness-policy} {Name: static-usage-limit-policy, Type: static-usage-limit-policy} {Name: openai-parser, Type: openai-parser} {Name: anthropic-parser, Type: anthropic-parser} {Name: vllmhttp-parser, Type: vllmhttp-parser} {Name: utilization-detector, Type: utilization-detector} {Name: metrics-data-source, Type: metrics-data-source} {Name: core-metrics-extractor, Type: core-metrics-extractor}], SchedulingProfiles: [{Name: default, Plugins: [{PluginRef: queue-scorer, Weight: 2.00} {PluginRef: prefix-cache-scorer, Weight: 3.00} {PluginRef: max-score-picker}]}], DataLayer: {Sources: [{PluginRef: metrics-data-source, Extractors: [{PluginRef: core-metrics-extractor}]}], Discovery: }, FlowControl: {MaxBytes: unlimited, MaxRequests: unlimited, SaturationDetector: {PluginRef: utilization-detector}}, RequestHandler: {Parsers: [{PluginRef: openai-parser}, {PluginRef: anthropic-parser}, {PluginRef: vllmhttp-parser}]}}"} [e2e-llm-inference-service] {"level":"info","ts":1783437390.055678,"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":1783437390.0557668,"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":1783437390.0557866,"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":1783437390.055814,"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":1783437390.0559232,"caller":"runner/runner.go:685","msg":"loaded configuration from file/text successfully"} [e2e-llm-inference-service] {"level":"info","ts":1783437390.0559342,"logger":"setup","caller":"runner/runner.go:308","msg":"EPP config after phase two","config":"{SchedulerConfig:{ProfileHandler: single-profile-handler/single-profile-handler, Profiles: map[default:{Filters: [], Scorers: [queue-scorer/queue-scorer: 2.000000, prefix-cache-scorer/prefix-cache-scorer: 3.000000], Picker: max-score-picker/max-score-picker}]} SaturationDetector:0xc000884940 DataConfig:{Sources:[{Plugin:0xc00062ccf0 Extractors:[0xc000884b40]}]} FlowControlConfig: ParserRegistry:0xc000884fc0}"} [e2e-llm-inference-service] {"level":"info","ts":1783437390.0809271,"logger":"setup","caller":"runner/runner.go:352","msg":"Setting pprof handlers"} [e2e-llm-inference-service] {"level":"info","ts":1783437390.0809717,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/allocs"} [e2e-llm-inference-service] {"level":"info","ts":1783437390.0809891,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/block"} [e2e-llm-inference-service] {"level":"info","ts":1783437390.0809946,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/"} [e2e-llm-inference-service] {"level":"info","ts":1783437390.0809994,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/profile"} [e2e-llm-inference-service] {"level":"info","ts":1783437390.0810041,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/trace"} [e2e-llm-inference-service] {"level":"info","ts":1783437390.081009,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/goroutine"} [e2e-llm-inference-service] {"level":"info","ts":1783437390.0810137,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/threadcreate"} [e2e-llm-inference-service] {"level":"info","ts":1783437390.0810182,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/mutex"} [e2e-llm-inference-service] {"level":"info","ts":1783437390.081023,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/cmdline"} [e2e-llm-inference-service] {"level":"info","ts":1783437390.0810273,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/symbol"} [e2e-llm-inference-service] {"level":"info","ts":1783437390.0810316,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/heap"} [e2e-llm-inference-service] {"level":"info","ts":1783437390.0810444,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/plugins/state"} [e2e-llm-inference-service] {"level":"info","ts":1783437390.0810497,"logger":"setup","caller":"runner/runner.go:373","msg":"parsed config","scheduler-config":"{ProfileHandler: single-profile-handler/single-profile-handler, Profiles: map[default:{Filters: [], Scorers: [queue-scorer/queue-scorer: 2.000000, prefix-cache-scorer/prefix-cache-scorer: 3.000000], Picker: max-score-picker/max-score-picker}]}"} [e2e-llm-inference-service] {"level":"info","ts":1783437390.081081,"logger":"setup","caller":"datalayer/runtime.go:99","msg":"Configuring datalayer runtime","numSources":1} [e2e-llm-inference-service] {"level":"info","ts":1783437390.081091,"logger":"setup","caller":"datalayer/runtime.go:118","msg":"Processing source","source":"metrics-data-source","numExtractors":1} [e2e-llm-inference-service] {"level":"info","ts":1783437390.0811117,"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":1783437390.0811274,"logger":"setup","caller":"datalayer/runtime.go:206","msg":"Datalayer runtime configured","pollers":1,"notifiers":0,"endpointSources":0} [e2e-llm-inference-service] {"level":"info","ts":1783437390.0811374,"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":1783437390.0812588,"logger":"setup","caller":"runner/runner.go:721","msg":"ExtProc server runner added to manager."} [e2e-llm-inference-service] {"level":"info","ts":1783437390.0812702,"logger":"setup","caller":"runner/runner.go:260","msg":"Controller manager starting"} [e2e-llm-inference-service] {"level":"info","ts":1783437390.081307,"logger":"controller-runtime.metrics","caller":"server/server.go:208","msg":"Starting metrics server"} [e2e-llm-inference-service] {"level":"info","ts":1783437390.0815032,"caller":"runnable/grpc.go:35","msg":"gRPC server starting","name":"health"} [e2e-llm-inference-service] {"level":"info","ts":1783437390.0816298,"caller":"runnable/grpc.go:43","msg":"gRPC server listening","name":"health","port":9003} [e2e-llm-inference-service] {"level":"info","ts":1783437390.0817819,"logger":"controller-runtime.metrics","caller":"server/server.go:247","msg":"Serving metrics server","bindAddress":":9090","secure":false} [e2e-llm-inference-service] {"level":"info","ts":1783437390.081904,"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":1783437390.0820067,"caller":"controller/controller.go:370","msg":"Starting EventSource","controller":"inferencemodelrewrite","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceModelRewrite","source":"kind source: *v1alpha2.InferenceModelRewrite"} [e2e-llm-inference-service] {"level":"info","ts":1783437390.0820725,"caller":"controller/controller.go:370","msg":"Starting EventSource","controller":"inferenceobjective","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceObjective","source":"kind source: *v1alpha2.InferenceObjective"} [e2e-llm-inference-service] {"level":"info","ts":1783437390.0821745,"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":1783437390.0826323,"caller":"runnable/grpc.go:35","msg":"gRPC server starting","name":"ext-proc"} [e2e-llm-inference-service] {"level":"info","ts":1783437390.0827098,"caller":"runnable/grpc.go:43","msg":"gRPC server listening","name":"ext-proc","port":9002} [e2e-llm-inference-service] {"level":"info","ts":1783437390.0894763,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1alpha2.InferenceObjective","reflector":"pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1783437390.0898397,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1alpha2.InferenceModelRewrite","reflector":"pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1783437390.0902672,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1.InferencePool","reflector":"pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1783437390.0915196,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1.Pod","reflector":"pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1783437390.182556,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"inferencemodelrewrite","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceModelRewrite"} [e2e-llm-inference-service] {"level":"info","ts":1783437390.1826055,"caller":"controller/controller.go:306","msg":"Starting workers","controller":"inferencemodelrewrite","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceModelRewrite","worker count":1} [e2e-llm-inference-service] {"level":"info","ts":1783437390.1825523,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"inferenceobjective","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceObjective"} [e2e-llm-inference-service] {"level":"info","ts":1783437390.1826417,"caller":"controller/controller.go:306","msg":"Starting workers","controller":"inferenceobjective","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceObjective","worker count":1} [e2e-llm-inference-service] {"level":"info","ts":1783437390.2828043,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"pod","controllerGroup":"","controllerKind":"Pod"} [e2e-llm-inference-service] {"level":"info","ts":1783437390.2828524,"caller":"controller/controller.go:306","msg":"Starting workers","controller":"pod","controllerGroup":"","controllerKind":"Pod","worker count":1} [e2e-llm-inference-service] {"level":"info","ts":1783437390.2828004,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"inferencepool","controllerGroup":"inference.networking.k8s.io","controllerKind":"InferencePool"} [e2e-llm-inference-service] {"level":"info","ts":1783437390.282875,"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":1783437390.2830288,"caller":"controller/inferencepool_reconciler.go:46","msg":"Reconciling InferencePool","controller":"inferencepool","controllerGroup":"inference.networking.k8s.io","controllerKind":"InferencePool","InferencePool":{"name":"auth-disabled-test-inference-pool","namespace":"kserve-ci-e2e-test"},"namespace":"kserve-ci-e2e-test","name":"auth-disabled-test-inference-pool","reconcileID":"a6f155a0-c17a-4cb0-9098-b89558a366f0"} [e2e-llm-inference-service] {"level":"info","ts":1783437404.7547455,"caller":"controller/inferencepool_reconciler.go:46","msg":"Reconciling InferencePool","controller":"inferencepool","controllerGroup":"inference.networking.k8s.io","controllerKind":"InferencePool","InferencePool":{"name":"auth-disabled-test-inference-pool","namespace":"kserve-ci-e2e-test"},"namespace":"kserve-ci-e2e-test","name":"auth-disabled-test-inference-pool","reconcileID":"70682a20-26ea-4cb2-8bea-a61e075c7c36"} [e2e-llm-inference-service] {"level":"info","ts":1783437517.8752282,"caller":"controller/pod_reconciler.go:99","msg":"Pod already exists","controller":"pod","controllerGroup":"","controllerKind":"Pod","Pod":{"name":"auth-disabled-test-kserve-c58f655c7-9qnmk","namespace":"kserve-ci-e2e-test"},"namespace":"kserve-ci-e2e-test","name":"auth-disabled-test-kserve-c58f655c7-9qnmk","reconcileID":"6053c937-6179-4cc0-b0f2-07ef12cf8eee"} [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: auth-disabled-test-epp-service [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 749daec3-119f-41df-aa7d-fe9d284dc00b [e2e-llm-inference-service] resourceVersion: '28442' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:16:27Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: auth-disabled-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: '2026-07-07T15:17:01Z' [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: '2026-07-07T15:17:01Z' [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: 10.133.0.36 [e2e-llm-inference-service] nodeName: ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: auth-disabled-test-kserve-router-scheduler-65b4fbcbbd-p87dh [e2e-llm-inference-service] uid: e28b4ddb-727a-4a61-982e-f6d453b8962b [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] port: 9090 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] port: 5557 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] port: 9002 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Endpoints [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: auth-disabled-test-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: e642fc1f-8c54-4a17-aa15-6325a2961b2d [e2e-llm-inference-service] resourceVersion: '30088' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:16:27Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: auth-disabled-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: '2026-07-07T15:18:37Z' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-07T15:18:37Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/last-change-trigger-time: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/managed-by: {} [e2e-llm-inference-service] f:subsets: {} [e2e-llm-inference-service] subsets: [e2e-llm-inference-service] - addresses: [e2e-llm-inference-service] - ip: 10.134.0.36 [e2e-llm-inference-service] nodeName: ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: auth-disabled-test-kserve-c58f655c7-9qnmk [e2e-llm-inference-service] uid: 645ddc91-9297-4c99-95a7-413642b5f2c2 [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: https [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] appProtocol: https [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Endpoints [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: auth-disabled-test-kserve-c58f655c7-9qnmk [e2e-llm-inference-service] generateName: auth-disabled-test-kserve-c58f655c7- [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 645ddc91-9297-4c99-95a7-413642b5f2c2 [e2e-llm-inference-service] resourceVersion: '30087' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:16:27Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: auth-disabled-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: c58f655c7 [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] 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-disabled-test-kserve-c58f655c7 [e2e-llm-inference-service] uid: 77c8bfea-83a7-4645-a62a-ad3bed945185 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: ip-10-0-138-195 [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-07T15:16:27Z' [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: '2026-07-07T15:16:27Z' [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":"77c8bfea-83a7-4645-a62a-ad3bed945185"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_CACHE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HOME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"TORCHINDUCTOR_CACHE_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"USER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_CPU_KVCACHE_SPACE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_ENABLE_V1_MULTIPROCESSING"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_LOGGING_LEVEL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:startupProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/dev/shm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] k:{"mountPath":"/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:enableServiceLinks: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"dshm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:medium: {} [e2e-llm-inference-service] f:sizeLimit: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"model-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tmp-dir"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: multus-daemon [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-07T15:16:27Z' [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: '2026-07-07T15:18:37Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] k:{"type":"ContainersReady"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Initialized"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"PodReadyToStartContainers"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"PodScheduled"}: [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] k:{"type":"Ready"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:containerStatuses: {} [e2e-llm-inference-service] f:hostIP: {} [e2e-llm-inference-service] f:hostIPs: {} [e2e-llm-inference-service] f:initContainerStatuses: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:phase: {} [e2e-llm-inference-service] f:podIP: {} [e2e-llm-inference-service] f:podIPs: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"ip":"10.134.0.36"}: [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: 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-disabled-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-dx4m8 [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@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-dx4m8 [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: 1000700000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/bash [e2e-llm-inference-service] - -c [e2e-llm-inference-service] - "if [ -f /etc/profile.d/ibm-aiu-setup.sh ]; then\n source /etc/profile.d/ibm-aiu-setup.sh\n\ [e2e-llm-inference-service] fi\n\nif [ \"$KSERVE_INFER_ROCE\" = \"true\" ]; then\n echo \"Trying to infer\ [e2e-llm-inference-service] \ RoCE configs ... \"\n grep -H . /sys/class/infiniband/*/ports/*/gids/* 2>/dev/null\n\ [e2e-llm-inference-service] \ grep -H . /sys/class/infiniband/*/ports/*/gid_attrs/types/* 2>/dev/null\n\ [e2e-llm-inference-service] \n cat /proc/driver/nvidia/params\n\n KSERVE_INFER_IB_GID_INDEX_GREP=${KSERVE_INFER_IB_GID_INDEX_GREP:-\"\ [e2e-llm-inference-service] RoCE v2\"}\n\n echo \"[Infer RoCE] Discovering active HCAs ...\"\n active_hcas=()\n\ [e2e-llm-inference-service] \ # Loop through all mlx5 devices found in sysfs\n for hca_dir in /sys/class/infiniband/mlx5_*;\ [e2e-llm-inference-service] \ do\n # Ensure it's a directory before proceeding\n if [ -d \"$hca_dir\"\ [e2e-llm-inference-service] \ ]; then\n hca_name=$(basename \"$hca_dir\")\n port_state_file=\"\ [e2e-llm-inference-service] $hca_dir/ports/1/state\" # Assume port 1\n type_file=\"$hca_dir/ports/1/gid_attrs/types/*\"\ [e2e-llm-inference-service] \n\n echo \"[Infer RoCE] Check if the port state file ${port_state_file}\ [e2e-llm-inference-service] \ exists and contains 'ACTIVE'\"\n if [ -f \"$port_state_file\" ] &&\ [e2e-llm-inference-service] \ grep -q \"ACTIVE\" \"$port_state_file\" && grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\"\ [e2e-llm-inference-service] \ ${type_file} 2>/dev/null; then\n echo \"[Infer RoCE] Found active\ [e2e-llm-inference-service] \ HCA: $hca_name\"\n active_hcas+=(\"$hca_name\")\n else\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Skipping inactive or down HCA: $hca_name\"\ [e2e-llm-inference-service] \n fi\n fi\n done\n\n # Check if we found any active HCAs\n\ [e2e-llm-inference-service] \ if [ ${#active_hcas[@]} -gt 0 ]; then\n # Join the array elements with\ [e2e-llm-inference-service] \ a comma\n hca_port_pairs=()\n for hca in \"${active_hcas[@]}\";\ [e2e-llm-inference-service] \ do\n hca_port_pairs+=(\"${hca}:1\")\n done\n\n active_hca_list=$(IFS=,;\ [e2e-llm-inference-service] \ echo \"${active_hcas[*]}\")\n hca_port_pairs_list=$(IFS=,; echo \"${hca_port_pairs[*]}\"\ [e2e-llm-inference-service] )\n echo \"[Infer RoCE] Setting active HCAs: ${active_hca_list}\"\n \ [e2e-llm-inference-service] \ export NCCL_IB_HCA=${NCCL_IB_HCA:-${active_hca_list}}\n export NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST:-${hca_port_pairs_list}}\n\ [e2e-llm-inference-service] \ export UCX_NET_DEVICES=${UCX_NET_DEVICES:-${hca_port_pairs_list}}\n\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] NCCL_IB_HCA=${NCCL_IB_HCA}\"\n echo \"[Infer\ [e2e-llm-inference-service] \ RoCE] NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST}\"\n echo \"[Infer RoCE] UCX_NET_DEVICES=${UCX_NET_DEVICES}\"\ [e2e-llm-inference-service] \n else\n echo \"[Infer RoCE] WARNING: No active RoCE HCAs found. NCCL_IB_HCA\ [e2e-llm-inference-service] \ will not be set.\"\n fi\n\n if [ ${#active_hcas[@]} -gt 0 ]; then\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Finding GID_INDEX for each active HCA (SR-IOV compatible)...\"\ [e2e-llm-inference-service] \n\n # For SR-IOV environments, find the most common IPv4 RoCE v2 GID index\ [e2e-llm-inference-service] \ across all HCAs\n declare -A gid_index_count\n declare -A hca_gid_index\n\ [e2e-llm-inference-service] \n for hca_name in \"${active_hcas[@]}\"; do\n echo \"[Infer RoCE]\ [e2e-llm-inference-service] \ Processing HCA: ${hca_name}\"\n\n # Find all RoCE v2 IPv4 GIDs for\ [e2e-llm-inference-service] \ this HCA and count by index\n for tpath in /sys/class/infiniband/${hca_name}/ports/1/gid_attrs/types/*;\ [e2e-llm-inference-service] \ do\n if grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\" \"$tpath\"\ [e2e-llm-inference-service] \ 2>/dev/null; then\n idx=$(basename \"$tpath\")\n \ [e2e-llm-inference-service] \ gid_file=\"/sys/class/infiniband/${hca_name}/ports/1/gids/${idx}\"\ [e2e-llm-inference-service] \n # Check for IPv4 GID (contains ffff:)\n \ [e2e-llm-inference-service] \ if [ -f \"$gid_file\" ] && grep -q \"ffff:\" \"$gid_file\"; then\n \ [e2e-llm-inference-service] \ gid_value=$(cat \"$gid_file\" 2>/dev/null || echo \"\")\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Found IPv4 RoCE v2 GID for ${hca_name}:\ [e2e-llm-inference-service] \ index=${idx}, gid=${gid_value}\"\n hca_gid_index[\"${hca_name}\"\ [e2e-llm-inference-service] ]=\"${idx}\"\n gid_index_count[\"${idx}\"]=$((${gid_index_count[\"\ [e2e-llm-inference-service] ${idx}\"]} + 1))\n break # Use first found IPv4 GID per\ [e2e-llm-inference-service] \ HCA\n fi\n fi\n done\n done\n\n\ [e2e-llm-inference-service] \ # Find the most common GID index (most likely to be consistent across\ [e2e-llm-inference-service] \ nodes)\n best_gid_index=\"\"\n max_count=0\n for idx in \"\ [e2e-llm-inference-service] ${!gid_index_count[@]}\"; do\n count=${gid_index_count[\"${idx}\"]}\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] GID_INDEX ${idx} found on ${count} HCAs\"\n \ [e2e-llm-inference-service] \ if [ $count -gt $max_count ]; then\n max_count=$count\n\ [e2e-llm-inference-service] \ best_gid_index=\"$idx\"\n fi\n done\n\n #\ [e2e-llm-inference-service] \ Use deterministic fallback if tied - prefer index 3 (SR-IOV standard)\n \ [e2e-llm-inference-service] \ if [ ${#gid_index_count[@]} -gt 1 ]; then\n echo \"[Infer RoCE]\ [e2e-llm-inference-service] \ Multiple GID indices found, selecting most common: ${best_gid_index}\"\n \ [e2e-llm-inference-service] \ # If there's a tie, prefer index 3 as it's most common in SR-IOV setups\n\ [e2e-llm-inference-service] \ if [ -n \"${gid_index_count['3']}\" ] && [ \"${gid_index_count['3']}\"\ [e2e-llm-inference-service] \ -eq \"$max_count\" ]; then\n best_gid_index=\"3\"\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using deterministic fallback: GID_INDEX=3 (SR-IOV\ [e2e-llm-inference-service] \ standard)\"\n fi\n fi\n\n # Check if GID_INDEX is already\ [e2e-llm-inference-service] \ set via environment variables\n if [ -n \"${NCCL_IB_GID_INDEX}\" ]; then\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using pre-configured NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ from environment\"\n export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using pre-configured GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ for NCCL, NVSHMEM, and UCX\"\n elif [ -n \"$best_gid_index\" ]; then\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Selected GID_INDEX: ${best_gid_index} (found\ [e2e-llm-inference-service] \ on ${max_count} HCAs)\"\n\n export NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$best_gid_index}\n\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Exported GID_INDEX=${best_gid_index} for NCCL,\ [e2e-llm-inference-service] \ NVSHMEM, and UCX\"\n else\n echo \"[Infer RoCE] ERROR: No valid\ [e2e-llm-inference-service] \ IPv4 ${KSERVE_INFER_IB_GID_INDEX_GREP} GID_INDEX found on any HCA.\"\n \ [e2e-llm-inference-service] \ fi\n else\n echo \"[Infer RoCE] No active HCAs found, skipping GID_INDEX\ [e2e-llm-inference-service] \ inference.\"\n fi\nfi\n\n# --disable-access-log-for-endpoints landed in vLLM\ [e2e-llm-inference-service] \ 0.16.0 (vllm-project/vllm#30011).\n# Older versions still need the blanket\ [e2e-llm-inference-service] \ --disable-uvicorn-access-log.\nACCESS_LOG_ARGS=\"--disable-uvicorn-access-log\"\ [e2e-llm-inference-service] \nVLLM_VERSION=$(vllm --version 2>/dev/null | tail -1 | awk '{print $NF}')\n\ [e2e-llm-inference-service] echo \"[access-log-detect] vllm version='${VLLM_VERSION}'\"\nif [[ \"$VLLM_VERSION\"\ [e2e-llm-inference-service] \ =~ ^[0-9]+\\.[0-9]+ ]] && [ \"$(printf '%s\\n%s\\n' \"0.16.0\" \"${VLLM_VERSION}\"\ [e2e-llm-inference-service] \ | sort -V | head -1)\" = \"0.16.0\" ]; then\n ACCESS_LOG_ARGS=\"--disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ /health,/metrics,/ping\"\nfi\necho \"[access-log-detect] selected ACCESS_LOG_ARGS='${ACCESS_LOG_ARGS}'\"\ [e2e-llm-inference-service] \n\n# --shutdown-timeout landed in vLLM 0.18.0 (vllm-project/vllm#36666).\n\ [e2e-llm-inference-service] SHUTDOWN_TIMEOUT_ARGS=\"\"\nif [[ \"$VLLM_VERSION\" =~ ^[0-9]+\\.[0-9]+ ]] &&\ [e2e-llm-inference-service] \ [ \"$(printf '%s\\n%s\\n' \"0.18.0\" \"${VLLM_VERSION}\" | sort -V | head\ [e2e-llm-inference-service] \ -1)\" = \"0.18.0\" ]; then\n SHUTDOWN_TIMEOUT_ARGS=\"--shutdown-timeout 40\"\ [e2e-llm-inference-service] \nfi\n\neval \"exec vllm serve /mnt/models \\\n --served-model-name \"facebook/opt-125m\"\ [e2e-llm-inference-service] \ \"publishers/kserve-ci-e2e-test/models/facebook/opt-125m\" \\\n --port 8000\ [e2e-llm-inference-service] \ \\\n ${ACCESS_LOG_ARGS} \\\n ${SHUTDOWN_TIMEOUT_ARGS} \\\n --enable-ssl-refresh\ [e2e-llm-inference-service] \ \\\n --ssl-certfile /var/run/kserve/tls/tls.crt \\\n --ssl-keyfile /var/run/kserve/tls/tls.key\ [e2e-llm-inference-service] \ \\\n ${VLLM_ADDITIONAL_ARGS} \\\n $@\"" [e2e-llm-inference-service] - -- [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: HOME [e2e-llm-inference-service] value: /home [e2e-llm-inference-service] - name: VLLM_LOGGING_LEVEL [e2e-llm-inference-service] value: DEBUG [e2e-llm-inference-service] - name: VLLM_CPU_KVCACHE_SPACE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: VLLM_ENABLE_V1_MULTIPROCESSING [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: USER [e2e-llm-inference-service] value: nonroot [e2e-llm-inference-service] - name: TORCHINDUCTOR_CACHE_DIR [e2e-llm-inference-service] value: /tmp/torchinductor-cache [e2e-llm-inference-service] - name: HF_HUB_CACHE [e2e-llm-inference-service] value: /models [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '2' [e2e-llm-inference-service] memory: 7Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-dx4m8 [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: 1000700000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] serviceAccountName: default [e2e-llm-inference-service] serviceAccount: default [e2e-llm-inference-service] nodeName: ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] seLinuxOptions: [e2e-llm-inference-service] level: s0:c26,c25 [e2e-llm-inference-service] fsGroup: 1000700000 [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-thd6c [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: '2026-07-07T15:16:28Z' [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: '2026-07-07T15:16:32Z' [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: '2026-07-07T15:18:37Z' [e2e-llm-inference-service] - type: ContainersReady [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-07T15:18:37Z' [e2e-llm-inference-service] - type: PodScheduled [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-07T15:16:27Z' [e2e-llm-inference-service] hostIP: 10.0.138.195 [e2e-llm-inference-service] hostIPs: [e2e-llm-inference-service] - ip: 10.0.138.195 [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: '2026-07-07T15:16:27Z' [e2e-llm-inference-service] initContainerStatuses: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] state: [e2e-llm-inference-service] terminated: [e2e-llm-inference-service] exitCode: 0 [e2e-llm-inference-service] reason: Completed [e2e-llm-inference-service] startedAt: '2026-07-07T15:16:28Z' [e2e-llm-inference-service] finishedAt: '2026-07-07T15:16:31Z' [e2e-llm-inference-service] containerID: cri-o://70c51d739e80d2cbca72b6ea3f0d8c09960bf72b900e41853b32678e46d6f76f [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [e2e-llm-inference-service] imageID: quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [e2e-llm-inference-service] containerID: cri-o://70c51d739e80d2cbca72b6ea3f0d8c09960bf72b900e41853b32678e46d6f76f [e2e-llm-inference-service] started: false [e2e-llm-inference-service] allocatedResources: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-dx4m8 [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: 1000700000 [e2e-llm-inference-service] gid: 0 [e2e-llm-inference-service] supplementalGroups: [e2e-llm-inference-service] - 0 [e2e-llm-inference-service] - 1000700000 [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: '2026-07-07T15:16:32Z' [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] imageID: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo@sha256:afb39fca138b51d019d986229d546531b45a2a3deb73bcf59bd42406e13fbba0 [e2e-llm-inference-service] containerID: cri-o://cceff7c96c030808e004fc946c36a4cb1c5a1258eb0e112c0d9dbbcf06181107 [e2e-llm-inference-service] started: true [e2e-llm-inference-service] allocatedResources: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '2' [e2e-llm-inference-service] memory: 7Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] - name: kube-api-access-dx4m8 [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: 1000700000 [e2e-llm-inference-service] gid: 0 [e2e-llm-inference-service] supplementalGroups: [e2e-llm-inference-service] - 0 [e2e-llm-inference-service] - 1000700000 [e2e-llm-inference-service] qosClass: Burstable [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: auth-disabled-test-kserve-router-scheduler-65b4fbcbbd-p87dh [e2e-llm-inference-service] generateName: auth-disabled-test-kserve-router-scheduler-65b4fbcbbd- [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: e28b4ddb-727a-4a61-982e-f6d453b8962b [e2e-llm-inference-service] resourceVersion: '28440' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:16:27Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: auth-disabled-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 65b4fbcbbd [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] app.kubernetes.io/version: 0.9.0 [e2e-llm-inference-service] certificates.kserve.io/expiration-v2: 'true' [e2e-llm-inference-service] k8s.ovn.org/pod-networks: '{"default":{"ip_addresses":["10.133.0.36/23"],"mac_address":"0a:58:0a:85:00:24","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":"10.133.0.36/23","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 \"10.133.0.36\"\n ],\n\ [e2e-llm-inference-service] \ \"mac\": \"0a:58:0a:85:00:24\",\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-disabled-test-kserve-router-scheduler-65b4fbcbbd [e2e-llm-inference-service] uid: d419db79-1191-4f02-aea1-e3428c5c29cf [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: ip-10-0-129-71 [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-07T15:16:27Z' [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: '2026-07-07T15:16:27Z' [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":"d419db79-1191-4f02-aea1-e3428c5c29cf"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"SSL_CERT_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":5557,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9002,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9003,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9090,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp/tokenizer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:enableServiceLinks: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"STORAGE_ALLOW_PATTERNS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:serviceAccount: {} [e2e-llm-inference-service] f:serviceAccountName: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tokenizer-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-uds"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: multus-daemon [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-07T15:16:28Z' [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: '2026-07-07T15:17:01Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] k:{"type":"ContainersReady"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Initialized"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"PodReadyToStartContainers"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"PodScheduled"}: [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] k:{"type":"Ready"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:containerStatuses: {} [e2e-llm-inference-service] f:hostIP: {} [e2e-llm-inference-service] f:hostIPs: {} [e2e-llm-inference-service] f:initContainerStatuses: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:phase: {} [e2e-llm-inference-service] f:podIP: {} [e2e-llm-inference-service] f:podIPs: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"ip":"10.133.0.36"}: [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: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: auth-disabled-test-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-tmp [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: kube-api-access-zxvfv [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@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] - name: STORAGE_ALLOW_PATTERNS [e2e-llm-inference-service] value: '["tokenizer.json", "tokenizer_config.json", "special_tokens_map.json", [e2e-llm-inference-service] "vocab.json", "merges.txt", "config.json", "generation_config.json"]' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-zxvfv [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: 1000700000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/epp [e2e-llm-inference-service] - --pool-name [e2e-llm-inference-service] - auth-disabled-test-inference-pool [e2e-llm-inference-service] - --pool-namespace [e2e-llm-inference-service] - kserve-ci-e2e-test [e2e-llm-inference-service] - --zap-encoder [e2e-llm-inference-service] - json [e2e-llm-inference-service] - --grpc-port [e2e-llm-inference-service] - '9002' [e2e-llm-inference-service] - --grpc-health-port [e2e-llm-inference-service] - '9003' [e2e-llm-inference-service] - --enable-cert-reload=true [e2e-llm-inference-service] - --secure-serving=true [e2e-llm-inference-service] - --model-server-metrics-scheme=https [e2e-llm-inference-service] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --config-text [e2e-llm-inference-service] - "apiVersion: inference.networking.x-k8s.io/v1alpha1\nkind: EndpointPickerConfig\n\ [e2e-llm-inference-service] plugins:\n- type: single-profile-handler\n- type: queue-scorer\n- type: prefix-cache-scorer\n\ [e2e-llm-inference-service] - type: max-score-picker\nschedulingProfiles:\n- name: default\n plugins:\n\ [e2e-llm-inference-service] \ - pluginRef: queue-scorer\n weight: 2\n - pluginRef: prefix-cache-scorer\n\ [e2e-llm-inference-service] \ weight: 3\n - pluginRef: max-score-picker\n" [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] containerPort: 9002 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] containerPort: 9003 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] containerPort: 9090 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] containerPort: 5557 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: SSL_CERT_DIR [e2e-llm-inference-service] value: /var/run/kserve/tls:/var/run/secrets/kubernetes.io/serviceaccount:/etc/pki/tls/certs [e2e-llm-inference-service] resources: [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] mountPath: /tmp/tokenizer [e2e-llm-inference-service] - name: kube-api-access-zxvfv [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: 1000700000 [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-disabled-test-epp-sa [e2e-llm-inference-service] serviceAccount: auth-disabled-test-epp-sa [e2e-llm-inference-service] nodeName: ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] seLinuxOptions: [e2e-llm-inference-service] level: s0:c26,c25 [e2e-llm-inference-service] fsGroup: 1000700000 [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-thd6c [e2e-llm-inference-service] - name: auth-disabled-test-epp-sa-dockercfg-ntwzg [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: '2026-07-07T15:16:28Z' [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: '2026-07-07T15:16:29Z' [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: '2026-07-07T15:17:01Z' [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: '2026-07-07T15:17:01Z' [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: '2026-07-07T15:16:27Z' [e2e-llm-inference-service] hostIP: 10.0.129.71 [e2e-llm-inference-service] hostIPs: [e2e-llm-inference-service] - ip: 10.0.129.71 [e2e-llm-inference-service] podIP: 10.133.0.36 [e2e-llm-inference-service] podIPs: [e2e-llm-inference-service] - ip: 10.133.0.36 [e2e-llm-inference-service] startTime: '2026-07-07T15:16:27Z' [e2e-llm-inference-service] initContainerStatuses: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] state: [e2e-llm-inference-service] terminated: [e2e-llm-inference-service] exitCode: 0 [e2e-llm-inference-service] reason: Completed [e2e-llm-inference-service] startedAt: '2026-07-07T15:16:28Z' [e2e-llm-inference-service] finishedAt: '2026-07-07T15:16:29Z' [e2e-llm-inference-service] containerID: cri-o://349a6ba2b9b209495d7dbf2c62187098c8f7093c66c9ab3ee011e8d26d1e1685 [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [e2e-llm-inference-service] imageID: quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [e2e-llm-inference-service] containerID: cri-o://349a6ba2b9b209495d7dbf2c62187098c8f7093c66c9ab3ee011e8d26d1e1685 [e2e-llm-inference-service] started: false [e2e-llm-inference-service] allocatedResources: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-zxvfv [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: 1000700000 [e2e-llm-inference-service] gid: 0 [e2e-llm-inference-service] supplementalGroups: [e2e-llm-inference-service] - 0 [e2e-llm-inference-service] - 1000700000 [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: '2026-07-07T15:16:29Z' [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2 [e2e-llm-inference-service] imageID: ghcr.io/llm-d/llm-d-router-endpoint-picker@sha256:06b6c75d77afd0e07053402752a9736c2dfbc12a306d0d37d963aac4c1d4e6a6 [e2e-llm-inference-service] containerID: cri-o://d0c8f10b107d4f8c086885bef588f39a94edd49cff35dd4644ee4c05507e2ff0 [e2e-llm-inference-service] started: true [e2e-llm-inference-service] allocatedResources: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] resources: [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] mountPath: /tmp/tokenizer [e2e-llm-inference-service] - name: kube-api-access-zxvfv [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: 1000700000 [e2e-llm-inference-service] gid: 0 [e2e-llm-inference-service] supplementalGroups: [e2e-llm-inference-service] - 0 [e2e-llm-inference-service] - 1000700000 [e2e-llm-inference-service] qosClass: Burstable [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: auth-disabled-test-epp-sa [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: f0dfd297-c2d1-42be-8055-263de15879c7 [e2e-llm-inference-service] resourceVersion: '27825' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:16:27Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: auth-disabled-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-disabled-test-epp-sa-dockercfg-ntwzg [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-disabled-test [e2e-llm-inference-service] uid: 4654c455-ea4a-4525-9387-073a0a421336 [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: '2026-07-07T15:16:27Z' [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-disabled-test-epp-sa-dockercfg-ntwzg"}: {} [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-07T15:16:27Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [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":"4654c455-ea4a-4525-9387-073a0a421336"}: {} [e2e-llm-inference-service] f:secrets: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"default-dockercfg-thd6c"}: {} [e2e-llm-inference-service] k:{"name":"seaweedfs-s3-creds"}: {} [e2e-llm-inference-service] secrets: [e2e-llm-inference-service] - name: default-dockercfg-thd6c [e2e-llm-inference-service] - name: seaweedfs-s3-creds [e2e-llm-inference-service] - name: auth-disabled-test-epp-sa-dockercfg-ntwzg [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-thd6c [e2e-llm-inference-service] - name: auth-disabled-test-epp-sa-dockercfg-ntwzg [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: ServiceAccount [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: auth-disabled-test-epp-service [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 46de0894-a80c-4839-a409-74d7b5fdefb4 [e2e-llm-inference-service] resourceVersion: '27846' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:16:27Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: auth-disabled-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-disabled-test [e2e-llm-inference-service] uid: 4654c455-ea4a-4525-9387-073a0a421336 [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: '2026-07-07T15:16:27Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [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":"4654c455-ea4a-4525-9387-073a0a421336"}: {} [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-disabled-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] clusterIP: 172.31.6.34 [e2e-llm-inference-service] clusterIPs: [e2e-llm-inference-service] - 172.31.6.34 [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:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: auth-disabled-test-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 55a62ef9-1271-4ae8-9a06-bb3f64659dc1 [e2e-llm-inference-service] resourceVersion: '27807' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:16:27Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: auth-disabled-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-disabled-test [e2e-llm-inference-service] uid: 4654c455-ea4a-4525-9387-073a0a421336 [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: '2026-07-07T15:16:27Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [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":"4654c455-ea4a-4525-9387-073a0a421336"}: {} [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-disabled-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] clusterIP: 172.31.176.45 [e2e-llm-inference-service] clusterIPs: [e2e-llm-inference-service] - 172.31.176.45 [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:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: auth-disabled-test-kserve [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 3bf5142b-7ea2-44ce-acc0-ea46fc7f06ba [e2e-llm-inference-service] resourceVersion: '30093' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:16:27Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: auth-disabled-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-disabled-test [e2e-llm-inference-service] uid: 4654c455-ea4a-4525-9387-073a0a421336 [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: '2026-07-07T15:16:27Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [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":"4654c455-ea4a-4525-9387-073a0a421336"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:progressDeadlineSeconds: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:revisionHistoryLimit: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:strategy: [e2e-llm-inference-service] f:rollingUpdate: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:maxSurge: {} [e2e-llm-inference-service] f:maxUnavailable: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:template: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:llm-d.ai/role: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_CACHE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HOME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"TORCHINDUCTOR_CACHE_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"USER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_CPU_KVCACHE_SPACE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_ENABLE_V1_MULTIPROCESSING"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_LOGGING_LEVEL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:startupProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/dev/shm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] k:{"mountPath":"/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"dshm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:medium: {} [e2e-llm-inference-service] f:sizeLimit: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"model-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tmp-dir"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-07T15:18:37Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/revision: {} [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:availableReplicas: {} [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"type":"Available"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:lastUpdateTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Progressing"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:lastUpdateTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:readyReplicas: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:updatedReplicas: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: auth-disabled-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-disabled-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-disabled-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@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/bash [e2e-llm-inference-service] - -c [e2e-llm-inference-service] - "if [ -f /etc/profile.d/ibm-aiu-setup.sh ]; then\n source /etc/profile.d/ibm-aiu-setup.sh\n\ [e2e-llm-inference-service] fi\n\nif [ \"$KSERVE_INFER_ROCE\" = \"true\" ]; then\n echo \"Trying to\ [e2e-llm-inference-service] \ infer RoCE configs ... \"\n grep -H . /sys/class/infiniband/*/ports/*/gids/*\ [e2e-llm-inference-service] \ 2>/dev/null\n grep -H . /sys/class/infiniband/*/ports/*/gid_attrs/types/*\ [e2e-llm-inference-service] \ 2>/dev/null\n\n cat /proc/driver/nvidia/params\n\n KSERVE_INFER_IB_GID_INDEX_GREP=${KSERVE_INFER_IB_GID_INDEX_GREP:-\"\ [e2e-llm-inference-service] RoCE v2\"}\n\n echo \"[Infer RoCE] Discovering active HCAs ...\"\n active_hcas=()\n\ [e2e-llm-inference-service] \ # Loop through all mlx5 devices found in sysfs\n for hca_dir in /sys/class/infiniband/mlx5_*;\ [e2e-llm-inference-service] \ do\n # Ensure it's a directory before proceeding\n if [ -d \"\ [e2e-llm-inference-service] $hca_dir\" ]; then\n hca_name=$(basename \"$hca_dir\")\n \ [e2e-llm-inference-service] \ port_state_file=\"$hca_dir/ports/1/state\" # Assume port 1\n \ [e2e-llm-inference-service] \ type_file=\"$hca_dir/ports/1/gid_attrs/types/*\"\n\n echo\ [e2e-llm-inference-service] \ \"[Infer RoCE] Check if the port state file ${port_state_file} exists\ [e2e-llm-inference-service] \ and contains 'ACTIVE'\"\n if [ -f \"$port_state_file\" ] && grep\ [e2e-llm-inference-service] \ -q \"ACTIVE\" \"$port_state_file\" && grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\"\ [e2e-llm-inference-service] \ ${type_file} 2>/dev/null; then\n echo \"[Infer RoCE] Found\ [e2e-llm-inference-service] \ active HCA: $hca_name\"\n active_hcas+=(\"$hca_name\")\n\ [e2e-llm-inference-service] \ else\n echo \"[Infer RoCE] Skipping inactive or\ [e2e-llm-inference-service] \ down HCA: $hca_name\"\n fi\n fi\n done\n\n # Check if\ [e2e-llm-inference-service] \ we found any active HCAs\n if [ ${#active_hcas[@]} -gt 0 ]; then\n \ [e2e-llm-inference-service] \ # Join the array elements with a comma\n hca_port_pairs=()\n \ [e2e-llm-inference-service] \ for hca in \"${active_hcas[@]}\"; do\n hca_port_pairs+=(\"\ [e2e-llm-inference-service] ${hca}:1\")\n done\n\n active_hca_list=$(IFS=,; echo \"${active_hcas[*]}\"\ [e2e-llm-inference-service] )\n hca_port_pairs_list=$(IFS=,; echo \"${hca_port_pairs[*]}\")\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Setting active HCAs: ${active_hca_list}\"\n \ [e2e-llm-inference-service] \ export NCCL_IB_HCA=${NCCL_IB_HCA:-${active_hca_list}}\n export\ [e2e-llm-inference-service] \ NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST:-${hca_port_pairs_list}}\n export\ [e2e-llm-inference-service] \ UCX_NET_DEVICES=${UCX_NET_DEVICES:-${hca_port_pairs_list}}\n\n echo\ [e2e-llm-inference-service] \ \"[Infer RoCE] NCCL_IB_HCA=${NCCL_IB_HCA}\"\n echo \"[Infer RoCE]\ [e2e-llm-inference-service] \ NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST}\"\n echo \"[Infer RoCE] UCX_NET_DEVICES=${UCX_NET_DEVICES}\"\ [e2e-llm-inference-service] \n else\n echo \"[Infer RoCE] WARNING: No active RoCE HCAs found.\ [e2e-llm-inference-service] \ NCCL_IB_HCA will not be set.\"\n fi\n\n if [ ${#active_hcas[@]} -gt\ [e2e-llm-inference-service] \ 0 ]; then\n echo \"[Infer RoCE] Finding GID_INDEX for each active\ [e2e-llm-inference-service] \ HCA (SR-IOV compatible)...\"\n\n # For SR-IOV environments, find\ [e2e-llm-inference-service] \ the most common IPv4 RoCE v2 GID index across all HCAs\n declare\ [e2e-llm-inference-service] \ -A gid_index_count\n declare -A hca_gid_index\n\n for hca_name\ [e2e-llm-inference-service] \ in \"${active_hcas[@]}\"; do\n echo \"[Infer RoCE] Processing\ [e2e-llm-inference-service] \ HCA: ${hca_name}\"\n\n # Find all RoCE v2 IPv4 GIDs for this\ [e2e-llm-inference-service] \ HCA and count by index\n for tpath in /sys/class/infiniband/${hca_name}/ports/1/gid_attrs/types/*;\ [e2e-llm-inference-service] \ do\n if grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\" \"\ [e2e-llm-inference-service] $tpath\" 2>/dev/null; then\n idx=$(basename \"$tpath\"\ [e2e-llm-inference-service] )\n gid_file=\"/sys/class/infiniband/${hca_name}/ports/1/gids/${idx}\"\ [e2e-llm-inference-service] \n # Check for IPv4 GID (contains ffff:)\n \ [e2e-llm-inference-service] \ if [ -f \"$gid_file\" ] && grep -q \"ffff:\" \"$gid_file\"; then\n\ [e2e-llm-inference-service] \ gid_value=$(cat \"$gid_file\" 2>/dev/null || echo\ [e2e-llm-inference-service] \ \"\")\n echo \"[Infer RoCE] Found IPv4 RoCE v2 GID\ [e2e-llm-inference-service] \ for ${hca_name}: index=${idx}, gid=${gid_value}\"\n \ [e2e-llm-inference-service] \ hca_gid_index[\"${hca_name}\"]=\"${idx}\"\n gid_index_count[\"\ [e2e-llm-inference-service] ${idx}\"]=$((${gid_index_count[\"${idx}\"]} + 1))\n \ [e2e-llm-inference-service] \ break # Use first found IPv4 GID per HCA\n fi\n \ [e2e-llm-inference-service] \ fi\n done\n done\n\n # Find the most common\ [e2e-llm-inference-service] \ GID index (most likely to be consistent across nodes)\n best_gid_index=\"\ [e2e-llm-inference-service] \"\n max_count=0\n for idx in \"${!gid_index_count[@]}\"; do\n\ [e2e-llm-inference-service] \ count=${gid_index_count[\"${idx}\"]}\n echo \"[Infer\ [e2e-llm-inference-service] \ RoCE] GID_INDEX ${idx} found on ${count} HCAs\"\n if [ $count\ [e2e-llm-inference-service] \ -gt $max_count ]; then\n max_count=$count\n \ [e2e-llm-inference-service] \ best_gid_index=\"$idx\"\n fi\n done\n\n # Use deterministic\ [e2e-llm-inference-service] \ fallback if tied - prefer index 3 (SR-IOV standard)\n if [ ${#gid_index_count[@]}\ [e2e-llm-inference-service] \ -gt 1 ]; then\n echo \"[Infer RoCE] Multiple GID indices found,\ [e2e-llm-inference-service] \ selecting most common: ${best_gid_index}\"\n # If there's a tie,\ [e2e-llm-inference-service] \ prefer index 3 as it's most common in SR-IOV setups\n if [ -n\ [e2e-llm-inference-service] \ \"${gid_index_count['3']}\" ] && [ \"${gid_index_count['3']}\" -eq \"\ [e2e-llm-inference-service] $max_count\" ]; then\n best_gid_index=\"3\"\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using deterministic fallback: GID_INDEX=3 (SR-IOV\ [e2e-llm-inference-service] \ standard)\"\n fi\n fi\n\n # Check if GID_INDEX is already\ [e2e-llm-inference-service] \ set via environment variables\n if [ -n \"${NCCL_IB_GID_INDEX}\"\ [e2e-llm-inference-service] \ ]; then\n echo \"[Infer RoCE] Using pre-configured NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ from environment\"\n export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using pre-configured GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ for NCCL, NVSHMEM, and UCX\"\n elif [ -n \"$best_gid_index\" ]; then\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Selected GID_INDEX: ${best_gid_index} (found\ [e2e-llm-inference-service] \ on ${max_count} HCAs)\"\n\n export NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \n echo \"[Infer RoCE] Exported GID_INDEX=${best_gid_index} for\ [e2e-llm-inference-service] \ NCCL, NVSHMEM, and UCX\"\n else\n echo \"[Infer RoCE] ERROR:\ [e2e-llm-inference-service] \ No valid IPv4 ${KSERVE_INFER_IB_GID_INDEX_GREP} GID_INDEX found on any\ [e2e-llm-inference-service] \ HCA.\"\n fi\n else\n echo \"[Infer RoCE] No active HCAs found,\ [e2e-llm-inference-service] \ skipping GID_INDEX inference.\"\n fi\nfi\n\n# --disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ landed in vLLM 0.16.0 (vllm-project/vllm#30011).\n# Older versions still\ [e2e-llm-inference-service] \ need the blanket --disable-uvicorn-access-log.\nACCESS_LOG_ARGS=\"--disable-uvicorn-access-log\"\ [e2e-llm-inference-service] \nVLLM_VERSION=$(vllm --version 2>/dev/null | tail -1 | awk '{print $NF}')\n\ [e2e-llm-inference-service] echo \"[access-log-detect] vllm version='${VLLM_VERSION}'\"\nif [[ \"$VLLM_VERSION\"\ [e2e-llm-inference-service] \ =~ ^[0-9]+\\.[0-9]+ ]] && [ \"$(printf '%s\\n%s\\n' \"0.16.0\" \"${VLLM_VERSION}\"\ [e2e-llm-inference-service] \ | sort -V | head -1)\" = \"0.16.0\" ]; then\n ACCESS_LOG_ARGS=\"--disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ /health,/metrics,/ping\"\nfi\necho \"[access-log-detect] selected ACCESS_LOG_ARGS='${ACCESS_LOG_ARGS}'\"\ [e2e-llm-inference-service] \n\n# --shutdown-timeout landed in vLLM 0.18.0 (vllm-project/vllm#36666).\n\ [e2e-llm-inference-service] SHUTDOWN_TIMEOUT_ARGS=\"\"\nif [[ \"$VLLM_VERSION\" =~ ^[0-9]+\\.[0-9]+\ [e2e-llm-inference-service] \ ]] && [ \"$(printf '%s\\n%s\\n' \"0.18.0\" \"${VLLM_VERSION}\" | sort\ [e2e-llm-inference-service] \ -V | head -1)\" = \"0.18.0\" ]; then\n SHUTDOWN_TIMEOUT_ARGS=\"--shutdown-timeout\ [e2e-llm-inference-service] \ 40\"\nfi\n\neval \"exec vllm serve /mnt/models \\\n --served-model-name\ [e2e-llm-inference-service] \ \"facebook/opt-125m\" \"publishers/kserve-ci-e2e-test/models/facebook/opt-125m\"\ [e2e-llm-inference-service] \ \\\n --port 8000 \\\n ${ACCESS_LOG_ARGS} \\\n ${SHUTDOWN_TIMEOUT_ARGS}\ [e2e-llm-inference-service] \ \\\n --enable-ssl-refresh \\\n --ssl-certfile /var/run/kserve/tls/tls.crt\ [e2e-llm-inference-service] \ \\\n --ssl-keyfile /var/run/kserve/tls/tls.key \\\n ${VLLM_ADDITIONAL_ARGS}\ [e2e-llm-inference-service] \ \\\n $@\"" [e2e-llm-inference-service] - -- [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: HOME [e2e-llm-inference-service] value: /home [e2e-llm-inference-service] - name: VLLM_LOGGING_LEVEL [e2e-llm-inference-service] value: DEBUG [e2e-llm-inference-service] - name: VLLM_CPU_KVCACHE_SPACE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: VLLM_ENABLE_V1_MULTIPROCESSING [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: USER [e2e-llm-inference-service] value: nonroot [e2e-llm-inference-service] - name: TORCHINDUCTOR_CACHE_DIR [e2e-llm-inference-service] value: /tmp/torchinductor-cache [e2e-llm-inference-service] - name: HF_HUB_CACHE [e2e-llm-inference-service] value: /models [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '2' [e2e-llm-inference-service] memory: 7Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 10 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 1 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 2 [e2e-llm-inference-service] startupProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 60 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] securityContext: {} [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] strategy: [e2e-llm-inference-service] type: RollingUpdate [e2e-llm-inference-service] rollingUpdate: [e2e-llm-inference-service] maxUnavailable: 25% [e2e-llm-inference-service] maxSurge: 25% [e2e-llm-inference-service] revisionHistoryLimit: 10 [e2e-llm-inference-service] progressDeadlineSeconds: 600 [e2e-llm-inference-service] status: [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] updatedReplicas: 1 [e2e-llm-inference-service] 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: '2026-07-07T15:18:37Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-07T15:18:37Z' [e2e-llm-inference-service] reason: MinimumReplicasAvailable [e2e-llm-inference-service] message: Deployment has minimum availability. [e2e-llm-inference-service] - type: Progressing [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastUpdateTime: '2026-07-07T15:18:37Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-07T15:16:27Z' [e2e-llm-inference-service] reason: NewReplicaSetAvailable [e2e-llm-inference-service] message: ReplicaSet "auth-disabled-test-kserve-c58f655c7" has successfully progressed. [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] kind: Deployment [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: auth-disabled-test-kserve-router-scheduler [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 62503de8-e4d6-4cfd-b82e-8befa067cc45 [e2e-llm-inference-service] resourceVersion: '28445' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:16:27Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: auth-disabled-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-disabled-test [e2e-llm-inference-service] uid: 4654c455-ea4a-4525-9387-073a0a421336 [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: '2026-07-07T15:16:27Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [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":"4654c455-ea4a-4525-9387-073a0a421336"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:progressDeadlineSeconds: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:revisionHistoryLimit: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:strategy: [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:template: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/version: {} [e2e-llm-inference-service] f:certificates.kserve.io/expiration-v2: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"SSL_CERT_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":5557,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9002,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9003,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9090,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp/tokenizer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"STORAGE_ALLOW_PATTERNS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:serviceAccount: {} [e2e-llm-inference-service] f:serviceAccountName: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tokenizer-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-uds"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-07T15:17:01Z' [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-disabled-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-disabled-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] app.kubernetes.io/version: 0.9.0 [e2e-llm-inference-service] certificates.kserve.io/expiration-v2: 'true' [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: auth-disabled-test-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-tmp [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] - name: STORAGE_ALLOW_PATTERNS [e2e-llm-inference-service] value: '["tokenizer.json", "tokenizer_config.json", "special_tokens_map.json", [e2e-llm-inference-service] "vocab.json", "merges.txt", "config.json", "generation_config.json"]' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/epp [e2e-llm-inference-service] - --pool-name [e2e-llm-inference-service] - auth-disabled-test-inference-pool [e2e-llm-inference-service] - --pool-namespace [e2e-llm-inference-service] - kserve-ci-e2e-test [e2e-llm-inference-service] - --zap-encoder [e2e-llm-inference-service] - json [e2e-llm-inference-service] - --grpc-port [e2e-llm-inference-service] - '9002' [e2e-llm-inference-service] - --grpc-health-port [e2e-llm-inference-service] - '9003' [e2e-llm-inference-service] - --enable-cert-reload=true [e2e-llm-inference-service] - --secure-serving=true [e2e-llm-inference-service] - --model-server-metrics-scheme=https [e2e-llm-inference-service] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --config-text [e2e-llm-inference-service] - "apiVersion: inference.networking.x-k8s.io/v1alpha1\nkind: EndpointPickerConfig\n\ [e2e-llm-inference-service] plugins:\n- type: single-profile-handler\n- type: queue-scorer\n- type:\ [e2e-llm-inference-service] \ prefix-cache-scorer\n- type: max-score-picker\nschedulingProfiles:\n-\ [e2e-llm-inference-service] \ name: default\n plugins:\n - pluginRef: queue-scorer\n weight: 2\n\ [e2e-llm-inference-service] \ - pluginRef: prefix-cache-scorer\n weight: 3\n - pluginRef: max-score-picker\n" [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] containerPort: 9002 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] containerPort: 9003 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] containerPort: 9090 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] containerPort: 5557 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: SSL_CERT_DIR [e2e-llm-inference-service] value: /var/run/kserve/tls:/var/run/secrets/kubernetes.io/serviceaccount:/etc/pki/tls/certs [e2e-llm-inference-service] resources: [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] mountPath: /tmp/tokenizer [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: liveness [e2e-llm-inference-service] initialDelaySeconds: 5 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: readiness [e2e-llm-inference-service] initialDelaySeconds: 30 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] serviceAccountName: auth-disabled-test-epp-sa [e2e-llm-inference-service] serviceAccount: auth-disabled-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: '2026-07-07T15:17:01Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-07T15:17:01Z' [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: '2026-07-07T15:17:01Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-07T15:16:27Z' [e2e-llm-inference-service] reason: NewReplicaSetAvailable [e2e-llm-inference-service] message: ReplicaSet "auth-disabled-test-kserve-router-scheduler-65b4fbcbbd" has [e2e-llm-inference-service] successfully progressed. [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] kind: Deployment [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: auth-disabled-test-kserve-c58f655c7 [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 77c8bfea-83a7-4645-a62a-ad3bed945185 [e2e-llm-inference-service] resourceVersion: '30092' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:16:27Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: auth-disabled-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: c58f655c7 [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-disabled-test-kserve [e2e-llm-inference-service] uid: 3bf5142b-7ea2-44ce-acc0-ea46fc7f06ba [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: '2026-07-07T15:16:27Z' [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":"3bf5142b-7ea2-44ce-acc0-ea46fc7f06ba"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:template: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:llm-d.ai/role: {} [e2e-llm-inference-service] f:pod-template-hash: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_CACHE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HOME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"TORCHINDUCTOR_CACHE_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"USER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_CPU_KVCACHE_SPACE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_ENABLE_V1_MULTIPROCESSING"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_LOGGING_LEVEL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:startupProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/dev/shm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] k:{"mountPath":"/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"dshm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:medium: {} [e2e-llm-inference-service] f:sizeLimit: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"model-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tmp-dir"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-07T15:18:37Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:availableReplicas: {} [e2e-llm-inference-service] f:fullyLabeledReplicas: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:readyReplicas: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: auth-disabled-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: c58f655c7 [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-disabled-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: c58f655c7 [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-disabled-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@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/bash [e2e-llm-inference-service] - -c [e2e-llm-inference-service] - "if [ -f /etc/profile.d/ibm-aiu-setup.sh ]; then\n source /etc/profile.d/ibm-aiu-setup.sh\n\ [e2e-llm-inference-service] fi\n\nif [ \"$KSERVE_INFER_ROCE\" = \"true\" ]; then\n echo \"Trying to\ [e2e-llm-inference-service] \ infer RoCE configs ... \"\n grep -H . /sys/class/infiniband/*/ports/*/gids/*\ [e2e-llm-inference-service] \ 2>/dev/null\n grep -H . /sys/class/infiniband/*/ports/*/gid_attrs/types/*\ [e2e-llm-inference-service] \ 2>/dev/null\n\n cat /proc/driver/nvidia/params\n\n KSERVE_INFER_IB_GID_INDEX_GREP=${KSERVE_INFER_IB_GID_INDEX_GREP:-\"\ [e2e-llm-inference-service] RoCE v2\"}\n\n echo \"[Infer RoCE] Discovering active HCAs ...\"\n active_hcas=()\n\ [e2e-llm-inference-service] \ # Loop through all mlx5 devices found in sysfs\n for hca_dir in /sys/class/infiniband/mlx5_*;\ [e2e-llm-inference-service] \ do\n # Ensure it's a directory before proceeding\n if [ -d \"\ [e2e-llm-inference-service] $hca_dir\" ]; then\n hca_name=$(basename \"$hca_dir\")\n \ [e2e-llm-inference-service] \ port_state_file=\"$hca_dir/ports/1/state\" # Assume port 1\n \ [e2e-llm-inference-service] \ type_file=\"$hca_dir/ports/1/gid_attrs/types/*\"\n\n echo\ [e2e-llm-inference-service] \ \"[Infer RoCE] Check if the port state file ${port_state_file} exists\ [e2e-llm-inference-service] \ and contains 'ACTIVE'\"\n if [ -f \"$port_state_file\" ] && grep\ [e2e-llm-inference-service] \ -q \"ACTIVE\" \"$port_state_file\" && grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\"\ [e2e-llm-inference-service] \ ${type_file} 2>/dev/null; then\n echo \"[Infer RoCE] Found\ [e2e-llm-inference-service] \ active HCA: $hca_name\"\n active_hcas+=(\"$hca_name\")\n\ [e2e-llm-inference-service] \ else\n echo \"[Infer RoCE] Skipping inactive or\ [e2e-llm-inference-service] \ down HCA: $hca_name\"\n fi\n fi\n done\n\n # Check if\ [e2e-llm-inference-service] \ we found any active HCAs\n if [ ${#active_hcas[@]} -gt 0 ]; then\n \ [e2e-llm-inference-service] \ # Join the array elements with a comma\n hca_port_pairs=()\n \ [e2e-llm-inference-service] \ for hca in \"${active_hcas[@]}\"; do\n hca_port_pairs+=(\"\ [e2e-llm-inference-service] ${hca}:1\")\n done\n\n active_hca_list=$(IFS=,; echo \"${active_hcas[*]}\"\ [e2e-llm-inference-service] )\n hca_port_pairs_list=$(IFS=,; echo \"${hca_port_pairs[*]}\")\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Setting active HCAs: ${active_hca_list}\"\n \ [e2e-llm-inference-service] \ export NCCL_IB_HCA=${NCCL_IB_HCA:-${active_hca_list}}\n export\ [e2e-llm-inference-service] \ NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST:-${hca_port_pairs_list}}\n export\ [e2e-llm-inference-service] \ UCX_NET_DEVICES=${UCX_NET_DEVICES:-${hca_port_pairs_list}}\n\n echo\ [e2e-llm-inference-service] \ \"[Infer RoCE] NCCL_IB_HCA=${NCCL_IB_HCA}\"\n echo \"[Infer RoCE]\ [e2e-llm-inference-service] \ NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST}\"\n echo \"[Infer RoCE] UCX_NET_DEVICES=${UCX_NET_DEVICES}\"\ [e2e-llm-inference-service] \n else\n echo \"[Infer RoCE] WARNING: No active RoCE HCAs found.\ [e2e-llm-inference-service] \ NCCL_IB_HCA will not be set.\"\n fi\n\n if [ ${#active_hcas[@]} -gt\ [e2e-llm-inference-service] \ 0 ]; then\n echo \"[Infer RoCE] Finding GID_INDEX for each active\ [e2e-llm-inference-service] \ HCA (SR-IOV compatible)...\"\n\n # For SR-IOV environments, find\ [e2e-llm-inference-service] \ the most common IPv4 RoCE v2 GID index across all HCAs\n declare\ [e2e-llm-inference-service] \ -A gid_index_count\n declare -A hca_gid_index\n\n for hca_name\ [e2e-llm-inference-service] \ in \"${active_hcas[@]}\"; do\n echo \"[Infer RoCE] Processing\ [e2e-llm-inference-service] \ HCA: ${hca_name}\"\n\n # Find all RoCE v2 IPv4 GIDs for this\ [e2e-llm-inference-service] \ HCA and count by index\n for tpath in /sys/class/infiniband/${hca_name}/ports/1/gid_attrs/types/*;\ [e2e-llm-inference-service] \ do\n if grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\" \"\ [e2e-llm-inference-service] $tpath\" 2>/dev/null; then\n idx=$(basename \"$tpath\"\ [e2e-llm-inference-service] )\n gid_file=\"/sys/class/infiniband/${hca_name}/ports/1/gids/${idx}\"\ [e2e-llm-inference-service] \n # Check for IPv4 GID (contains ffff:)\n \ [e2e-llm-inference-service] \ if [ -f \"$gid_file\" ] && grep -q \"ffff:\" \"$gid_file\"; then\n\ [e2e-llm-inference-service] \ gid_value=$(cat \"$gid_file\" 2>/dev/null || echo\ [e2e-llm-inference-service] \ \"\")\n echo \"[Infer RoCE] Found IPv4 RoCE v2 GID\ [e2e-llm-inference-service] \ for ${hca_name}: index=${idx}, gid=${gid_value}\"\n \ [e2e-llm-inference-service] \ hca_gid_index[\"${hca_name}\"]=\"${idx}\"\n gid_index_count[\"\ [e2e-llm-inference-service] ${idx}\"]=$((${gid_index_count[\"${idx}\"]} + 1))\n \ [e2e-llm-inference-service] \ break # Use first found IPv4 GID per HCA\n fi\n \ [e2e-llm-inference-service] \ fi\n done\n done\n\n # Find the most common\ [e2e-llm-inference-service] \ GID index (most likely to be consistent across nodes)\n best_gid_index=\"\ [e2e-llm-inference-service] \"\n max_count=0\n for idx in \"${!gid_index_count[@]}\"; do\n\ [e2e-llm-inference-service] \ count=${gid_index_count[\"${idx}\"]}\n echo \"[Infer\ [e2e-llm-inference-service] \ RoCE] GID_INDEX ${idx} found on ${count} HCAs\"\n if [ $count\ [e2e-llm-inference-service] \ -gt $max_count ]; then\n max_count=$count\n \ [e2e-llm-inference-service] \ best_gid_index=\"$idx\"\n fi\n done\n\n # Use deterministic\ [e2e-llm-inference-service] \ fallback if tied - prefer index 3 (SR-IOV standard)\n if [ ${#gid_index_count[@]}\ [e2e-llm-inference-service] \ -gt 1 ]; then\n echo \"[Infer RoCE] Multiple GID indices found,\ [e2e-llm-inference-service] \ selecting most common: ${best_gid_index}\"\n # If there's a tie,\ [e2e-llm-inference-service] \ prefer index 3 as it's most common in SR-IOV setups\n if [ -n\ [e2e-llm-inference-service] \ \"${gid_index_count['3']}\" ] && [ \"${gid_index_count['3']}\" -eq \"\ [e2e-llm-inference-service] $max_count\" ]; then\n best_gid_index=\"3\"\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using deterministic fallback: GID_INDEX=3 (SR-IOV\ [e2e-llm-inference-service] \ standard)\"\n fi\n fi\n\n # Check if GID_INDEX is already\ [e2e-llm-inference-service] \ set via environment variables\n if [ -n \"${NCCL_IB_GID_INDEX}\"\ [e2e-llm-inference-service] \ ]; then\n echo \"[Infer RoCE] Using pre-configured NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ from environment\"\n export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using pre-configured GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ for NCCL, NVSHMEM, and UCX\"\n elif [ -n \"$best_gid_index\" ]; then\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Selected GID_INDEX: ${best_gid_index} (found\ [e2e-llm-inference-service] \ on ${max_count} HCAs)\"\n\n export NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \n echo \"[Infer RoCE] Exported GID_INDEX=${best_gid_index} for\ [e2e-llm-inference-service] \ NCCL, NVSHMEM, and UCX\"\n else\n echo \"[Infer RoCE] ERROR:\ [e2e-llm-inference-service] \ No valid IPv4 ${KSERVE_INFER_IB_GID_INDEX_GREP} GID_INDEX found on any\ [e2e-llm-inference-service] \ HCA.\"\n fi\n else\n echo \"[Infer RoCE] No active HCAs found,\ [e2e-llm-inference-service] \ skipping GID_INDEX inference.\"\n fi\nfi\n\n# --disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ landed in vLLM 0.16.0 (vllm-project/vllm#30011).\n# Older versions still\ [e2e-llm-inference-service] \ need the blanket --disable-uvicorn-access-log.\nACCESS_LOG_ARGS=\"--disable-uvicorn-access-log\"\ [e2e-llm-inference-service] \nVLLM_VERSION=$(vllm --version 2>/dev/null | tail -1 | awk '{print $NF}')\n\ [e2e-llm-inference-service] echo \"[access-log-detect] vllm version='${VLLM_VERSION}'\"\nif [[ \"$VLLM_VERSION\"\ [e2e-llm-inference-service] \ =~ ^[0-9]+\\.[0-9]+ ]] && [ \"$(printf '%s\\n%s\\n' \"0.16.0\" \"${VLLM_VERSION}\"\ [e2e-llm-inference-service] \ | sort -V | head -1)\" = \"0.16.0\" ]; then\n ACCESS_LOG_ARGS=\"--disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ /health,/metrics,/ping\"\nfi\necho \"[access-log-detect] selected ACCESS_LOG_ARGS='${ACCESS_LOG_ARGS}'\"\ [e2e-llm-inference-service] \n\n# --shutdown-timeout landed in vLLM 0.18.0 (vllm-project/vllm#36666).\n\ [e2e-llm-inference-service] SHUTDOWN_TIMEOUT_ARGS=\"\"\nif [[ \"$VLLM_VERSION\" =~ ^[0-9]+\\.[0-9]+\ [e2e-llm-inference-service] \ ]] && [ \"$(printf '%s\\n%s\\n' \"0.18.0\" \"${VLLM_VERSION}\" | sort\ [e2e-llm-inference-service] \ -V | head -1)\" = \"0.18.0\" ]; then\n SHUTDOWN_TIMEOUT_ARGS=\"--shutdown-timeout\ [e2e-llm-inference-service] \ 40\"\nfi\n\neval \"exec vllm serve /mnt/models \\\n --served-model-name\ [e2e-llm-inference-service] \ \"facebook/opt-125m\" \"publishers/kserve-ci-e2e-test/models/facebook/opt-125m\"\ [e2e-llm-inference-service] \ \\\n --port 8000 \\\n ${ACCESS_LOG_ARGS} \\\n ${SHUTDOWN_TIMEOUT_ARGS}\ [e2e-llm-inference-service] \ \\\n --enable-ssl-refresh \\\n --ssl-certfile /var/run/kserve/tls/tls.crt\ [e2e-llm-inference-service] \ \\\n --ssl-keyfile /var/run/kserve/tls/tls.key \\\n ${VLLM_ADDITIONAL_ARGS}\ [e2e-llm-inference-service] \ \\\n $@\"" [e2e-llm-inference-service] - -- [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: HOME [e2e-llm-inference-service] value: /home [e2e-llm-inference-service] - name: VLLM_LOGGING_LEVEL [e2e-llm-inference-service] value: DEBUG [e2e-llm-inference-service] - name: VLLM_CPU_KVCACHE_SPACE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: VLLM_ENABLE_V1_MULTIPROCESSING [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: USER [e2e-llm-inference-service] value: nonroot [e2e-llm-inference-service] - name: TORCHINDUCTOR_CACHE_DIR [e2e-llm-inference-service] value: /tmp/torchinductor-cache [e2e-llm-inference-service] - name: HF_HUB_CACHE [e2e-llm-inference-service] value: /models [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '2' [e2e-llm-inference-service] memory: 7Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 10 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 1 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 2 [e2e-llm-inference-service] startupProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 60 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] securityContext: {} [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] status: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] fullyLabeledReplicas: 1 [e2e-llm-inference-service] readyReplicas: 1 [e2e-llm-inference-service] availableReplicas: 1 [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] kind: ReplicaSet [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: auth-disabled-test-kserve-router-scheduler-65b4fbcbbd [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: d419db79-1191-4f02-aea1-e3428c5c29cf [e2e-llm-inference-service] resourceVersion: '28443' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:16:27Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: auth-disabled-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 65b4fbcbbd [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-disabled-test-kserve-router-scheduler [e2e-llm-inference-service] uid: 62503de8-e4d6-4cfd-b82e-8befa067cc45 [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: '2026-07-07T15:16:27Z' [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":"62503de8-e4d6-4cfd-b82e-8befa067cc45"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:template: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/version: {} [e2e-llm-inference-service] f:certificates.kserve.io/expiration-v2: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:pod-template-hash: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"SSL_CERT_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":5557,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9002,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9003,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9090,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp/tokenizer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"STORAGE_ALLOW_PATTERNS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:serviceAccount: {} [e2e-llm-inference-service] f:serviceAccountName: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tokenizer-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-uds"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-07T15:17:01Z' [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-disabled-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 65b4fbcbbd [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-disabled-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 65b4fbcbbd [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] app.kubernetes.io/version: 0.9.0 [e2e-llm-inference-service] certificates.kserve.io/expiration-v2: 'true' [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: auth-disabled-test-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-tmp [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] - name: STORAGE_ALLOW_PATTERNS [e2e-llm-inference-service] value: '["tokenizer.json", "tokenizer_config.json", "special_tokens_map.json", [e2e-llm-inference-service] "vocab.json", "merges.txt", "config.json", "generation_config.json"]' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/epp [e2e-llm-inference-service] - --pool-name [e2e-llm-inference-service] - auth-disabled-test-inference-pool [e2e-llm-inference-service] - --pool-namespace [e2e-llm-inference-service] - kserve-ci-e2e-test [e2e-llm-inference-service] - --zap-encoder [e2e-llm-inference-service] - json [e2e-llm-inference-service] - --grpc-port [e2e-llm-inference-service] - '9002' [e2e-llm-inference-service] - --grpc-health-port [e2e-llm-inference-service] - '9003' [e2e-llm-inference-service] - --enable-cert-reload=true [e2e-llm-inference-service] - --secure-serving=true [e2e-llm-inference-service] - --model-server-metrics-scheme=https [e2e-llm-inference-service] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --config-text [e2e-llm-inference-service] - "apiVersion: inference.networking.x-k8s.io/v1alpha1\nkind: EndpointPickerConfig\n\ [e2e-llm-inference-service] plugins:\n- type: single-profile-handler\n- type: queue-scorer\n- type:\ [e2e-llm-inference-service] \ prefix-cache-scorer\n- type: max-score-picker\nschedulingProfiles:\n-\ [e2e-llm-inference-service] \ name: default\n plugins:\n - pluginRef: queue-scorer\n weight: 2\n\ [e2e-llm-inference-service] \ - pluginRef: prefix-cache-scorer\n weight: 3\n - pluginRef: max-score-picker\n" [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] containerPort: 9002 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] containerPort: 9003 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] containerPort: 9090 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] containerPort: 5557 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: SSL_CERT_DIR [e2e-llm-inference-service] value: /var/run/kserve/tls:/var/run/secrets/kubernetes.io/serviceaccount:/etc/pki/tls/certs [e2e-llm-inference-service] resources: [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] mountPath: /tmp/tokenizer [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: liveness [e2e-llm-inference-service] initialDelaySeconds: 5 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: readiness [e2e-llm-inference-service] initialDelaySeconds: 30 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] serviceAccountName: auth-disabled-test-epp-sa [e2e-llm-inference-service] serviceAccount: auth-disabled-test-epp-sa [e2e-llm-inference-service] securityContext: {} [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] status: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] fullyLabeledReplicas: 1 [e2e-llm-inference-service] readyReplicas: 1 [e2e-llm-inference-service] availableReplicas: 1 [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] kind: ReplicaSet [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: auth-disabled-test-epp-rb [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 589e353d-9bcb-44fb-a8fb-d0233119b56f [e2e-llm-inference-service] resourceVersion: '27839' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:16:27Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: auth-disabled-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-disabled-test [e2e-llm-inference-service] uid: 4654c455-ea4a-4525-9387-073a0a421336 [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: '2026-07-07T15:16:27Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [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":"4654c455-ea4a-4525-9387-073a0a421336"}: {} [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-disabled-test-epp-sa [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] roleRef: [e2e-llm-inference-service] apiGroup: rbac.authorization.k8s.io [e2e-llm-inference-service] kind: Role [e2e-llm-inference-service] name: auth-disabled-test-epp-role [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] kind: RoleBinding [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: auth-disabled-test-epp-role [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 20ce03e0-7e41-4b57-8652-a841f8613290 [e2e-llm-inference-service] resourceVersion: '27833' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:16:27Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: auth-disabled-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-disabled-test [e2e-llm-inference-service] uid: 4654c455-ea4a-4525-9387-073a0a421336 [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: '2026-07-07T15:16:27Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [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":"4654c455-ea4a-4525-9387-073a0a421336"}: {} [e2e-llm-inference-service] f:rules: {} [e2e-llm-inference-service] rules: [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - '' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - pods [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - inference.networking.k8s.io [e2e-llm-inference-service] - inference.networking.x-k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencepools [e2e-llm-inference-service] - inferenceobjectives [e2e-llm-inference-service] - inferencemodels [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - inference.networking.x-k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencemodelrewrites [e2e-llm-inference-service] - inferencepoolimports [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - discovery.k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - endpointslices [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] - create [e2e-llm-inference-service] - update [e2e-llm-inference-service] - patch [e2e-llm-inference-service] - delete [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - coordination.k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - leases [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] kind: Role [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: auth-disabled-test-epp-service-9pgxl [e2e-llm-inference-service] generateName: auth-disabled-test-epp-service- [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 72d674cf-47ac-4b8d-ba56-afe0ac1c2cc4 [e2e-llm-inference-service] resourceVersion: '28441' [e2e-llm-inference-service] generation: 3 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:16:27Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: auth-disabled-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-disabled-test-epp-service [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] endpoints.kubernetes.io/last-change-trigger-time: '2026-07-07T15:17:01Z' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: v1 [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: auth-disabled-test-epp-service [e2e-llm-inference-service] uid: 46de0894-a80c-4839-a409-74d7b5fdefb4 [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: '2026-07-07T15:17:01Z' [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":"46de0894-a80c-4839-a409-74d7b5fdefb4"}: {} [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] - 10.133.0.36 [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] serving: true [e2e-llm-inference-service] terminating: false [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: auth-disabled-test-kserve-router-scheduler-65b4fbcbbd-p87dh [e2e-llm-inference-service] uid: e28b4ddb-727a-4a61-982e-f6d453b8962b [e2e-llm-inference-service] nodeName: ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] zone: us-east-1a [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9002 [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9090 [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 5557 [e2e-llm-inference-service] apiVersion: discovery.k8s.io/v1 [e2e-llm-inference-service] kind: EndpointSlice [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: auth-disabled-test-kserve-workload-svc-7smqr [e2e-llm-inference-service] generateName: auth-disabled-test-kserve-workload-svc- [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 69d2a9c4-3d68-448a-94dc-5ccb274cf2a0 [e2e-llm-inference-service] resourceVersion: '30089' [e2e-llm-inference-service] generation: 3 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:16:27Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: auth-disabled-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-disabled-test-kserve-workload-svc [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] endpoints.kubernetes.io/last-change-trigger-time: '2026-07-07T15:18:37Z' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: v1 [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: auth-disabled-test-kserve-workload-svc [e2e-llm-inference-service] uid: 55a62ef9-1271-4ae8-9a06-bb3f64659dc1 [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: '2026-07-07T15:18:37Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:addressType: {} [e2e-llm-inference-service] f:endpoints: {} [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/last-change-trigger-time: {} [e2e-llm-inference-service] f:generateName: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:endpointslice.kubernetes.io/managed-by: {} [e2e-llm-inference-service] f:kubernetes.io/service-name: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"55a62ef9-1271-4ae8-9a06-bb3f64659dc1"}: {} [e2e-llm-inference-service] f:ports: {} [e2e-llm-inference-service] addressType: IPv4 [e2e-llm-inference-service] endpoints: [e2e-llm-inference-service] - addresses: [e2e-llm-inference-service] - 10.134.0.36 [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] serving: true [e2e-llm-inference-service] terminating: false [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: auth-disabled-test-kserve-c58f655c7-9qnmk [e2e-llm-inference-service] uid: 645ddc91-9297-4c99-95a7-413642b5f2c2 [e2e-llm-inference-service] nodeName: ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] zone: us-east-1a [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: https [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] appProtocol: https [e2e-llm-inference-service] apiVersion: discovery.k8s.io/v1 [e2e-llm-inference-service] kind: EndpointSlice [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: auth-disabled-test-epp-rb [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 589e353d-9bcb-44fb-a8fb-d0233119b56f [e2e-llm-inference-service] resourceVersion: '27839' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:16:27Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: auth-disabled-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-disabled-test [e2e-llm-inference-service] uid: 4654c455-ea4a-4525-9387-073a0a421336 [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: '2026-07-07T15:16:27Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [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":"4654c455-ea4a-4525-9387-073a0a421336"}: {} [e2e-llm-inference-service] f:roleRef: {} [e2e-llm-inference-service] f:subjects: {} [e2e-llm-inference-service] userNames: [e2e-llm-inference-service] - system:serviceaccount:kserve-ci-e2e-test:auth-disabled-test-epp-sa [e2e-llm-inference-service] groupNames: null [e2e-llm-inference-service] subjects: [e2e-llm-inference-service] - kind: ServiceAccount [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: auth-disabled-test-epp-sa [e2e-llm-inference-service] roleRef: [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: auth-disabled-test-epp-role [e2e-llm-inference-service] apiVersion: authorization.openshift.io/v1 [e2e-llm-inference-service] kind: RoleBinding [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: auth-disabled-test-epp-role [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 20ce03e0-7e41-4b57-8652-a841f8613290 [e2e-llm-inference-service] resourceVersion: '27833' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:16:27Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: auth-disabled-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-disabled-test [e2e-llm-inference-service] uid: 4654c455-ea4a-4525-9387-073a0a421336 [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: '2026-07-07T15:16:27Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [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":"4654c455-ea4a-4525-9387-073a0a421336"}: {} [e2e-llm-inference-service] f:rules: {} [e2e-llm-inference-service] rules: [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - '' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - pods [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - inference.networking.k8s.io [e2e-llm-inference-service] - inference.networking.x-k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencemodels [e2e-llm-inference-service] - inferenceobjectives [e2e-llm-inference-service] - inferencepools [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - inference.networking.x-k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencemodelrewrites [e2e-llm-inference-service] - inferencepoolimports [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - discovery.k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - endpointslices [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - create [e2e-llm-inference-service] - delete [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - patch [e2e-llm-inference-service] - update [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - coordination.k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - leases [e2e-llm-inference-service] apiVersion: authorization.openshift.io/v1 [e2e-llm-inference-service] kind: Role [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: gateway.networking.k8s.io/v1 [e2e-llm-inference-service] kind: HTTPRoute [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] serving.kserve.io/inference-pool-migrated: v1 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:16:27Z' [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-disabled-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":"4654c455-ea4a-4525-9387-073a0a421336"}: {} [e2e-llm-inference-service] f:spec: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-07T15:16:44Z' [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: '2026-07-07T15:16:44Z' [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: '2026-07-07T15:16:45Z' [e2e-llm-inference-service] name: auth-disabled-test-kserve-route [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: auth-disabled-test [e2e-llm-inference-service] uid: 4654c455-ea4a-4525-9387-073a0a421336 [e2e-llm-inference-service] resourceVersion: '28179' [e2e-llm-inference-service] uid: 5f6d656c-667a-4017-88c6-8d122ea97f40 [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-disabled-test-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/completions [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/auth-disabled-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-disabled-test-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/completions [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/completions/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: auth-disabled-test-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/chat/completions [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/auth-disabled-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-disabled-test-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/chat/completions [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/chat/completions/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: auth-disabled-test-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/responses [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/auth-disabled-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-disabled-test-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/responses [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/responses/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: auth-disabled-test-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/messages [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/auth-disabled-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-disabled-test-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/messages [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/messages/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: auth-disabled-test-kserve-workload-svc [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: / [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/auth-disabled-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-disabled-test-kserve-workload-svc [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: / [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] status: [e2e-llm-inference-service] parents: [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T15:16:27Z' [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: '2026-07-07T15:16:44Z' [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: '2026-07-07T15:16:28Z' [e2e-llm-inference-service] message: Object affected by AuthPolicy [kserve-ci-e2e-test/auth-disabled-test-kserve-route-authn [e2e-llm-inference-service] openshift-ingress/openshift-ai-inference-authn] [e2e-llm-inference-service] observedGeneration: 2 [e2e-llm-inference-service] reason: Accepted [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: kuadrant.io/AuthPolicyAffected [e2e-llm-inference-service] controllerName: kuadrant.io/policy-controller [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: gateway.networking.k8s.io/v1beta1 [e2e-llm-inference-service] kind: HTTPRoute [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] serving.kserve.io/inference-pool-migrated: v1 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:16:27Z' [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-disabled-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":"4654c455-ea4a-4525-9387-073a0a421336"}: {} [e2e-llm-inference-service] f:spec: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-07T15:16:44Z' [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: '2026-07-07T15:16:44Z' [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: '2026-07-07T15:16:45Z' [e2e-llm-inference-service] name: auth-disabled-test-kserve-route [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: auth-disabled-test [e2e-llm-inference-service] uid: 4654c455-ea4a-4525-9387-073a0a421336 [e2e-llm-inference-service] resourceVersion: '28179' [e2e-llm-inference-service] uid: 5f6d656c-667a-4017-88c6-8d122ea97f40 [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-disabled-test-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/completions [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/auth-disabled-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-disabled-test-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/completions [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/completions/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: auth-disabled-test-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/chat/completions [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/auth-disabled-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-disabled-test-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/chat/completions [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/chat/completions/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: auth-disabled-test-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/responses [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/auth-disabled-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-disabled-test-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/responses [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/responses/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: auth-disabled-test-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/messages [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/auth-disabled-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-disabled-test-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/messages [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/messages/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: auth-disabled-test-kserve-workload-svc [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: / [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/auth-disabled-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-disabled-test-kserve-workload-svc [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: / [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] status: [e2e-llm-inference-service] parents: [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T15:16:27Z' [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: '2026-07-07T15:16:44Z' [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: '2026-07-07T15:16:28Z' [e2e-llm-inference-service] message: Object affected by AuthPolicy [kserve-ci-e2e-test/auth-disabled-test-kserve-route-authn [e2e-llm-inference-service] openshift-ingress/openshift-ai-inference-authn] [e2e-llm-inference-service] observedGeneration: 2 [e2e-llm-inference-service] reason: Accepted [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: kuadrant.io/AuthPolicyAffected [e2e-llm-inference-service] controllerName: kuadrant.io/policy-controller [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: inference.networking.k8s.io/v1 [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:16:27Z' [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-disabled-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":"4654c455-ea4a-4525-9387-073a0a421336"}: {} [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: '2026-07-07T15:16:27Z' [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: '2026-07-07T15:16:44Z' [e2e-llm-inference-service] name: auth-disabled-test-inference-pool [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: auth-disabled-test [e2e-llm-inference-service] uid: 4654c455-ea4a-4525-9387-073a0a421336 [e2e-llm-inference-service] resourceVersion: '28164' [e2e-llm-inference-service] uid: 1eb220ff-5b4e-45e2-95c9-2c6f248c49ca [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-disabled-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-disabled-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: '2026-07-07T15:16:44Z' [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: '2026-07-07T15:16:44Z' [e2e-llm-inference-service] message: Referenced ExtensionRef resolved successfully [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] reason: ResolvedRefs [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: ResolvedRefs [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: networking.istio.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: kuadrant.io/v1 [e2e-llm-inference-service] kind: AuthPolicy [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:16:30Z' [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: auth-disabled-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: kuadrant.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/managed-by: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"4654c455-ea4a-4525-9387-073a0a421336"}: {} [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: '2026-07-07T15:16:30Z' [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: '2026-07-07T15:16:32Z' [e2e-llm-inference-service] name: auth-disabled-test-kserve-route-authn [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: auth-disabled-test [e2e-llm-inference-service] uid: 4654c455-ea4a-4525-9387-073a0a421336 [e2e-llm-inference-service] resourceVersion: '28013' [e2e-llm-inference-service] uid: 00ecf2f9-da56-4f95-826c-36332a8cdd6b [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: auth-disabled-test-kserve-route [e2e-llm-inference-service] status: [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T15:16:30Z' [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: '2026-07-07T15:16:32Z' [e2e-llm-inference-service] message: AuthPolicy has been successfully enforced [e2e-llm-inference-service] reason: Enforced [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: Enforced [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:16:28Z' [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-disabled-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":"4654c455-ea4a-4525-9387-073a0a421336"}: {} [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: '2026-07-07T15:16:28Z' [e2e-llm-inference-service] name: auth-disabled-test-kserve-scheduler [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: auth-disabled-test [e2e-llm-inference-service] uid: 4654c455-ea4a-4525-9387-073a0a421336 [e2e-llm-inference-service] resourceVersion: '27911' [e2e-llm-inference-service] uid: b4f20bbb-aea9-49fb-9d5d-0c6f40ba60a6 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: auth-disabled-test-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: auth-disabled-test-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:16:44Z' [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-disabled-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":"4654c455-ea4a-4525-9387-073a0a421336"}: {} [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: '2026-07-07T15:16:44Z' [e2e-llm-inference-service] name: auth-disabled-test-kserve-shadow-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: auth-disabled-test [e2e-llm-inference-service] uid: 4654c455-ea4a-4525-9387-073a0a421336 [e2e-llm-inference-service] resourceVersion: '28173' [e2e-llm-inference-service] uid: a2d9f56b-7461-43d7-bb44-cfba4b1dbd41 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: auth-disabled-test-inference-pool-ip-5f67cff2.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: auth-disabled-test-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:16:28Z' [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-disabled-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":"4654c455-ea4a-4525-9387-073a0a421336"}: {} [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: '2026-07-07T15:16:28Z' [e2e-llm-inference-service] name: auth-disabled-test-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: auth-disabled-test [e2e-llm-inference-service] uid: 4654c455-ea4a-4525-9387-073a0a421336 [e2e-llm-inference-service] resourceVersion: '27921' [e2e-llm-inference-service] uid: 6a56b5d7-48c0-4194-9586-c8c32645c12a [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: auth-disabled-test-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] caCertificates: /var/run/secrets/kubernetes.io/serviceaccount/service-ca.crt [e2e-llm-inference-service] insecureSkipVerify: false [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: auth-disabled-test-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1beta1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:16:28Z' [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-disabled-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":"4654c455-ea4a-4525-9387-073a0a421336"}: {} [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: '2026-07-07T15:16:28Z' [e2e-llm-inference-service] name: auth-disabled-test-kserve-scheduler [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: auth-disabled-test [e2e-llm-inference-service] uid: 4654c455-ea4a-4525-9387-073a0a421336 [e2e-llm-inference-service] resourceVersion: '27911' [e2e-llm-inference-service] uid: b4f20bbb-aea9-49fb-9d5d-0c6f40ba60a6 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: auth-disabled-test-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: auth-disabled-test-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1beta1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:16:44Z' [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-disabled-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":"4654c455-ea4a-4525-9387-073a0a421336"}: {} [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: '2026-07-07T15:16:44Z' [e2e-llm-inference-service] name: auth-disabled-test-kserve-shadow-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: auth-disabled-test [e2e-llm-inference-service] uid: 4654c455-ea4a-4525-9387-073a0a421336 [e2e-llm-inference-service] resourceVersion: '28173' [e2e-llm-inference-service] uid: a2d9f56b-7461-43d7-bb44-cfba4b1dbd41 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: auth-disabled-test-inference-pool-ip-5f67cff2.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: auth-disabled-test-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1beta1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:16:28Z' [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-disabled-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":"4654c455-ea4a-4525-9387-073a0a421336"}: {} [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: '2026-07-07T15:16:28Z' [e2e-llm-inference-service] name: auth-disabled-test-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: auth-disabled-test [e2e-llm-inference-service] uid: 4654c455-ea4a-4525-9387-073a0a421336 [e2e-llm-inference-service] resourceVersion: '27921' [e2e-llm-inference-service] uid: 6a56b5d7-48c0-4194-9586-c8c32645c12a [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: auth-disabled-test-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] caCertificates: /var/run/secrets/kubernetes.io/serviceaccount/service-ca.crt [e2e-llm-inference-service] insecureSkipVerify: false [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: auth-disabled-test-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1alpha3 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:16:28Z' [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-disabled-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":"4654c455-ea4a-4525-9387-073a0a421336"}: {} [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: '2026-07-07T15:16:28Z' [e2e-llm-inference-service] name: auth-disabled-test-kserve-scheduler [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: auth-disabled-test [e2e-llm-inference-service] uid: 4654c455-ea4a-4525-9387-073a0a421336 [e2e-llm-inference-service] resourceVersion: '27911' [e2e-llm-inference-service] uid: b4f20bbb-aea9-49fb-9d5d-0c6f40ba60a6 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: auth-disabled-test-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: auth-disabled-test-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1alpha3 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:16:44Z' [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-disabled-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":"4654c455-ea4a-4525-9387-073a0a421336"}: {} [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: '2026-07-07T15:16:44Z' [e2e-llm-inference-service] name: auth-disabled-test-kserve-shadow-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: auth-disabled-test [e2e-llm-inference-service] uid: 4654c455-ea4a-4525-9387-073a0a421336 [e2e-llm-inference-service] resourceVersion: '28173' [e2e-llm-inference-service] uid: a2d9f56b-7461-43d7-bb44-cfba4b1dbd41 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: auth-disabled-test-inference-pool-ip-5f67cff2.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: auth-disabled-test-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1alpha3 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:16:28Z' [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-disabled-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":"4654c455-ea4a-4525-9387-073a0a421336"}: {} [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: '2026-07-07T15:16:28Z' [e2e-llm-inference-service] name: auth-disabled-test-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: auth-disabled-test [e2e-llm-inference-service] uid: 4654c455-ea4a-4525-9387-073a0a421336 [e2e-llm-inference-service] resourceVersion: '27921' [e2e-llm-inference-service] uid: 6a56b5d7-48c0-4194-9586-c8c32645c12a [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: auth-disabled-test-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] caCertificates: /var/run/secrets/kubernetes.io/serviceaccount/service-ca.crt [e2e-llm-inference-service] insecureSkipVerify: false [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: auth-disabled-test-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: inference.networking.x-k8s.io/v1alpha2 [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:16:27Z' [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-disabled-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":"4654c455-ea4a-4525-9387-073a0a421336"}: {} [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: '2026-07-07T15:16:27Z' [e2e-llm-inference-service] name: auth-disabled-test-inference-pool [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: auth-disabled-test [e2e-llm-inference-service] uid: 4654c455-ea4a-4525-9387-073a0a421336 [e2e-llm-inference-service] resourceVersion: '27854' [e2e-llm-inference-service] uid: 78d16d37-3685-4d2e-80fc-3b049ab2260e [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-disabled-test-epp-service [e2e-llm-inference-service] portNumber: 9002 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] app.kubernetes.io/name: auth-disabled-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] targetPortNumber: 8000 [e2e-llm-inference-service] status: [e2e-llm-inference-service] parent: [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '1970-01-01T00:00:00Z' [e2e-llm-inference-service] message: Waiting for controller [e2e-llm-inference-service] reason: Pending [e2e-llm-inference-service] status: Unknown [e2e-llm-inference-service] type: Accepted [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Status [e2e-llm-inference-service] name: default [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: auth-disabled-test-kserve-c58f655c7-9qnmk [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:19:41Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: auth-disabled-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: c58f655c7 [e2e-llm-inference-service] timestamp: '2026-07-07T15:19:29Z' [e2e-llm-inference-service] window: 13.743s [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] usage: [e2e-llm-inference-service] cpu: 116773048n [e2e-llm-inference-service] memory: 2406940Ki [e2e-llm-inference-service] apiVersion: metrics.k8s.io/v1beta1 [e2e-llm-inference-service] kind: PodMetrics [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: auth-disabled-test-kserve-router-scheduler-65b4fbcbbd-p87dh [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:19:41Z' [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-disabled-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 65b4fbcbbd [e2e-llm-inference-service] timestamp: '2026-07-07T15:19:22Z' [e2e-llm-inference-service] window: 16.781s [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] usage: [e2e-llm-inference-service] cpu: 62689708n [e2e-llm-inference-service] memory: 30304Ki [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:633 ⏭️ Skipping deletion of auth-disabled-test due to test failure (SKIP_DELETION_ON_FAILURE=True) [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:logging.py:48 [test_llm_auth_disabled_no_token_required] [2026-07-07T15:19:41.287614] end - ❌ 208.379s: HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60) [e2e-llm-inference-service] _ test_llm_inference_service[router-managed-workload-single-cpu-model-fb-opt-125m-with-lora-hf0] _ [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] conn = [e2e-llm-inference-service] method = 'POST', url = '/v1/completions' [e2e-llm-inference-service] body = b'{"model": "publishers/kserve-ci-e2e-test/models/lora-adapter-1", "prompt": "KServe is a", "max_tokens": 20}' [e2e-llm-inference-service] headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-aliv...lication/json', 'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/lora-adapter-1', 'Content-Length': '107'} [e2e-llm-inference-service] retries = Retry(total=0, connect=None, read=None, redirect=None, status=None) [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), chunked = False [e2e-llm-inference-service] response_conn = [e2e-llm-inference-service] preload_content = False, decode_content = False, 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] # conn.request() calls http.client.*.request, not the method in [e2e-llm-inference-service] # urllib3.request. It also calls makefile (recv) on the socket. [e2e-llm-inference-service] try: [e2e-llm-inference-service] conn.request( [e2e-llm-inference-service] method, [e2e-llm-inference-service] url, [e2e-llm-inference-service] body=body, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] chunked=chunked, [e2e-llm-inference-service] preload_content=preload_content, [e2e-llm-inference-service] decode_content=decode_content, [e2e-llm-inference-service] enforce_content_length=enforce_content_length, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] # We are swallowing BrokenPipeError (errno.EPIPE) since the server is [e2e-llm-inference-service] # legitimately able to close the connection after sending a valid response. [e2e-llm-inference-service] # With this behaviour, the received response is still readable. [e2e-llm-inference-service] except BrokenPipeError: [e2e-llm-inference-service] pass [e2e-llm-inference-service] except OSError as e: [e2e-llm-inference-service] # MacOS/Linux [e2e-llm-inference-service] # EPROTOTYPE and ECONNRESET are needed on macOS [e2e-llm-inference-service] # https://erickt.github.io/blog/2014/11/19/adventures-in-debugging-a-potential-osx-kernel-bug/ [e2e-llm-inference-service] # Condition changed later to emit ECONNRESET instead of only EPROTOTYPE. [e2e-llm-inference-service] if e.errno != errno.EPROTOTYPE and e.errno != errno.ECONNRESET: [e2e-llm-inference-service] raise [e2e-llm-inference-service] [e2e-llm-inference-service] # Reset the timeout for the recv() on the socket [e2e-llm-inference-service] read_timeout = timeout_obj.read_timeout [e2e-llm-inference-service] [e2e-llm-inference-service] if not conn.is_closed: [e2e-llm-inference-service] # In Python 3 socket.py will catch EAGAIN and return None when you [e2e-llm-inference-service] # try and read into the file pointer created by http.client, which [e2e-llm-inference-service] # instead raises a BadStatusLine exception. Instead of catching [e2e-llm-inference-service] # the exception and assuming all BadStatusLine exceptions are read [e2e-llm-inference-service] # timeouts, check for a zero timeout before making the request. [e2e-llm-inference-service] if read_timeout == 0: [e2e-llm-inference-service] raise ReadTimeoutError( [e2e-llm-inference-service] self, url, f"Read timed out. (read timeout={read_timeout})" [e2e-llm-inference-service] ) [e2e-llm-inference-service] conn.timeout = read_timeout [e2e-llm-inference-service] [e2e-llm-inference-service] # Receive the response from the server [e2e-llm-inference-service] try: [e2e-llm-inference-service] > response = conn.getresponse() [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:534: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] [e2e-llm-inference-service] def getresponse( # type: ignore[override] [e2e-llm-inference-service] self, [e2e-llm-inference-service] ) -> HTTPResponse: [e2e-llm-inference-service] """ [e2e-llm-inference-service] Get the response from the server. [e2e-llm-inference-service] [e2e-llm-inference-service] If the HTTPConnection is in the correct state, returns an instance of HTTPResponse or of whatever object is returned by the response_class variable. [e2e-llm-inference-service] [e2e-llm-inference-service] If a request has not been sent or if a previous response has not be handled, ResponseNotReady is raised. If the HTTP response indicates that the connection should be closed, then it will be closed before the response is returned. When the connection is closed, the underlying socket is closed. [e2e-llm-inference-service] """ [e2e-llm-inference-service] # Raise the same error as http.client.HTTPConnection [e2e-llm-inference-service] if self._response_options is None: [e2e-llm-inference-service] raise ResponseNotReady() [e2e-llm-inference-service] [e2e-llm-inference-service] # Reset this attribute for being used again. [e2e-llm-inference-service] resp_options = self._response_options [e2e-llm-inference-service] self._response_options = None [e2e-llm-inference-service] [e2e-llm-inference-service] # Since the connection's timeout value may have been updated [e2e-llm-inference-service] # we need to set the timeout on the socket. [e2e-llm-inference-service] self.sock.settimeout(self.timeout) [e2e-llm-inference-service] [e2e-llm-inference-service] # This is needed here to avoid circular import errors [e2e-llm-inference-service] from .response import HTTPResponse [e2e-llm-inference-service] [e2e-llm-inference-service] # Save a reference to the shutdown function before ownership is passed [e2e-llm-inference-service] # to httplib_response [e2e-llm-inference-service] # TODO should we implement it everywhere? [e2e-llm-inference-service] _shutdown = getattr(self.sock, "shutdown", None) [e2e-llm-inference-service] [e2e-llm-inference-service] # Get the response from http.client.HTTPConnection [e2e-llm-inference-service] > httplib_response = super().getresponse() [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connection.py:571: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] [e2e-llm-inference-service] def getresponse(self): [e2e-llm-inference-service] """Get the response from the server. [e2e-llm-inference-service] [e2e-llm-inference-service] If the HTTPConnection is in the correct state, returns an [e2e-llm-inference-service] instance of HTTPResponse or of whatever object is returned by [e2e-llm-inference-service] the response_class variable. [e2e-llm-inference-service] [e2e-llm-inference-service] If a request has not been sent or if a previous response has [e2e-llm-inference-service] not be handled, ResponseNotReady is raised. If the HTTP [e2e-llm-inference-service] response indicates that the connection should be closed, then [e2e-llm-inference-service] it will be closed before the response is returned. When the [e2e-llm-inference-service] connection is closed, the underlying socket is closed. [e2e-llm-inference-service] """ [e2e-llm-inference-service] [e2e-llm-inference-service] # if a prior response has been completed, then forget about it. [e2e-llm-inference-service] if self.__response and self.__response.isclosed(): [e2e-llm-inference-service] self.__response = None [e2e-llm-inference-service] [e2e-llm-inference-service] # if a prior response exists, then it must be completed (otherwise, we [e2e-llm-inference-service] # cannot read this response's header to determine the connection-close [e2e-llm-inference-service] # behavior) [e2e-llm-inference-service] # [e2e-llm-inference-service] # note: if a prior response existed, but was connection-close, then the [e2e-llm-inference-service] # socket and response were made independent of this HTTPConnection [e2e-llm-inference-service] # object since a new request requires that we open a whole new [e2e-llm-inference-service] # connection [e2e-llm-inference-service] # [e2e-llm-inference-service] # this means the prior response had one of two states: [e2e-llm-inference-service] # 1) will_close: this connection was reset and the prior socket and [e2e-llm-inference-service] # response operate independently [e2e-llm-inference-service] # 2) persistent: the response was retained and we await its [e2e-llm-inference-service] # isclosed() status to become true. [e2e-llm-inference-service] # [e2e-llm-inference-service] if self.__state != _CS_REQ_SENT or self.__response: [e2e-llm-inference-service] raise ResponseNotReady(self.__state) [e2e-llm-inference-service] [e2e-llm-inference-service] if self.debuglevel > 0: [e2e-llm-inference-service] response = self.response_class(self.sock, self.debuglevel, [e2e-llm-inference-service] method=self._method) [e2e-llm-inference-service] else: [e2e-llm-inference-service] response = self.response_class(self.sock, method=self._method) [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] try: [e2e-llm-inference-service] > response.begin() [e2e-llm-inference-service] [e2e-llm-inference-service] /usr/lib64/python3.11/http/client.py:1395: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] [e2e-llm-inference-service] def begin(self): [e2e-llm-inference-service] if self.headers is not None: [e2e-llm-inference-service] # we've already started reading the response [e2e-llm-inference-service] return [e2e-llm-inference-service] [e2e-llm-inference-service] # read until we get a non-100 response [e2e-llm-inference-service] while True: [e2e-llm-inference-service] > version, status, reason = self._read_status() [e2e-llm-inference-service] [e2e-llm-inference-service] /usr/lib64/python3.11/http/client.py:325: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] [e2e-llm-inference-service] def _read_status(self): [e2e-llm-inference-service] > line = str(self.fp.readline(_MAXLINE + 1), "iso-8859-1") [e2e-llm-inference-service] [e2e-llm-inference-service] /usr/lib64/python3.11/http/client.py:286: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] b = [e2e-llm-inference-service] [e2e-llm-inference-service] def readinto(self, b): [e2e-llm-inference-service] """Read up to len(b) bytes into the writable buffer *b* and return [e2e-llm-inference-service] the number of bytes read. If the socket is non-blocking and no bytes [e2e-llm-inference-service] are available, None is returned. [e2e-llm-inference-service] [e2e-llm-inference-service] If *b* is non-empty, a 0 return value indicates that the connection [e2e-llm-inference-service] was shutdown at the other end. [e2e-llm-inference-service] """ [e2e-llm-inference-service] self._checkClosed() [e2e-llm-inference-service] self._checkReadable() [e2e-llm-inference-service] if self._timeout_occurred: [e2e-llm-inference-service] raise OSError("cannot read from timed out object") [e2e-llm-inference-service] while True: [e2e-llm-inference-service] try: [e2e-llm-inference-service] > return self._sock.recv_into(b) [e2e-llm-inference-service] E TimeoutError: timed out [e2e-llm-inference-service] [e2e-llm-inference-service] /usr/lib64/python3.11/socket.py:718: TimeoutError [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 = '/v1/completions' [e2e-llm-inference-service] body = b'{"model": "publishers/kserve-ci-e2e-test/models/lora-adapter-1", "prompt": "KServe is a", "max_tokens": 20}' [e2e-llm-inference-service] headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-aliv...lication/json', 'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/lora-adapter-1', 'Content-Length': '107'} [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 [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None [e2e-llm-inference-service] release_conn = False, chunked = False, body_pos = None, preload_content = False [e2e-llm-inference-service] decode_content = False, response_kw = {} [e2e-llm-inference-service] parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/v1/completions', query=None, fragment=None) [e2e-llm-inference-service] destination_scheme = None, conn = None, release_this_conn = True [e2e-llm-inference-service] http_tunnel_required = False, err = None, 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] parsed_url = parse_url(url) [e2e-llm-inference-service] destination_scheme = parsed_url.scheme [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] # Ensure that the URL we're connecting to is properly encoded [e2e-llm-inference-service] if url.startswith("/"): [e2e-llm-inference-service] url = to_str(_encode_target(url)) [e2e-llm-inference-service] else: [e2e-llm-inference-service] url = to_str(parsed_url.url) [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:787: [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 = '/v1/completions' [e2e-llm-inference-service] body = b'{"model": "publishers/kserve-ci-e2e-test/models/lora-adapter-1", "prompt": "KServe is a", "max_tokens": 20}' [e2e-llm-inference-service] headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-aliv...lication/json', 'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/lora-adapter-1', 'Content-Length': '107'} [e2e-llm-inference-service] retries = Retry(total=0, connect=None, read=None, redirect=None, status=None) [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), chunked = False [e2e-llm-inference-service] response_conn = [e2e-llm-inference-service] preload_content = False, decode_content = False, 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] # conn.request() calls http.client.*.request, not the method in [e2e-llm-inference-service] # urllib3.request. It also calls makefile (recv) on the socket. [e2e-llm-inference-service] try: [e2e-llm-inference-service] conn.request( [e2e-llm-inference-service] method, [e2e-llm-inference-service] url, [e2e-llm-inference-service] body=body, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] chunked=chunked, [e2e-llm-inference-service] preload_content=preload_content, [e2e-llm-inference-service] decode_content=decode_content, [e2e-llm-inference-service] enforce_content_length=enforce_content_length, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] # We are swallowing BrokenPipeError (errno.EPIPE) since the server is [e2e-llm-inference-service] # legitimately able to close the connection after sending a valid response. [e2e-llm-inference-service] # With this behaviour, the received response is still readable. [e2e-llm-inference-service] except BrokenPipeError: [e2e-llm-inference-service] pass [e2e-llm-inference-service] except OSError as e: [e2e-llm-inference-service] # MacOS/Linux [e2e-llm-inference-service] # EPROTOTYPE and ECONNRESET are needed on macOS [e2e-llm-inference-service] # https://erickt.github.io/blog/2014/11/19/adventures-in-debugging-a-potential-osx-kernel-bug/ [e2e-llm-inference-service] # Condition changed later to emit ECONNRESET instead of only EPROTOTYPE. [e2e-llm-inference-service] if e.errno != errno.EPROTOTYPE and e.errno != errno.ECONNRESET: [e2e-llm-inference-service] raise [e2e-llm-inference-service] [e2e-llm-inference-service] # Reset the timeout for the recv() on the socket [e2e-llm-inference-service] read_timeout = timeout_obj.read_timeout [e2e-llm-inference-service] [e2e-llm-inference-service] if not conn.is_closed: [e2e-llm-inference-service] # In Python 3 socket.py will catch EAGAIN and return None when you [e2e-llm-inference-service] # try and read into the file pointer created by http.client, which [e2e-llm-inference-service] # instead raises a BadStatusLine exception. Instead of catching [e2e-llm-inference-service] # the exception and assuming all BadStatusLine exceptions are read [e2e-llm-inference-service] # timeouts, check for a zero timeout before making the request. [e2e-llm-inference-service] if read_timeout == 0: [e2e-llm-inference-service] raise ReadTimeoutError( [e2e-llm-inference-service] self, url, f"Read timed out. (read timeout={read_timeout})" [e2e-llm-inference-service] ) [e2e-llm-inference-service] conn.timeout = read_timeout [e2e-llm-inference-service] [e2e-llm-inference-service] # Receive the response from the server [e2e-llm-inference-service] try: [e2e-llm-inference-service] response = conn.getresponse() [e2e-llm-inference-service] except (BaseSSLError, OSError) as e: [e2e-llm-inference-service] > self._raise_timeout(err=e, url=url, timeout_value=read_timeout) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:536: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] err = TimeoutError('timed out'), url = '/v1/completions', timeout_value = 60 [e2e-llm-inference-service] [e2e-llm-inference-service] def _raise_timeout( [e2e-llm-inference-service] self, [e2e-llm-inference-service] err: BaseSSLError | OSError | SocketTimeout, [e2e-llm-inference-service] url: str, [e2e-llm-inference-service] timeout_value: _TYPE_TIMEOUT | None, [e2e-llm-inference-service] ) -> None: [e2e-llm-inference-service] """Is the error actually a timeout? Will raise a ReadTimeout or pass""" [e2e-llm-inference-service] [e2e-llm-inference-service] if isinstance(err, SocketTimeout): [e2e-llm-inference-service] > raise ReadTimeoutError( [e2e-llm-inference-service] self, url, f"Read timed out. (read timeout={timeout_value})" [e2e-llm-inference-service] ) from err [e2e-llm-inference-service] E urllib3.exceptions.ReadTimeoutError: HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:367: ReadTimeoutError [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] request = , stream = False [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), verify = '/tmp/ca.crt' [e2e-llm-inference-service] cert = None, proxies = OrderedDict() [e2e-llm-inference-service] [e2e-llm-inference-service] def send( [e2e-llm-inference-service] self, request, stream=False, timeout=None, verify=True, cert=None, proxies=None [e2e-llm-inference-service] ): [e2e-llm-inference-service] """Sends PreparedRequest object. Returns Response object. [e2e-llm-inference-service] [e2e-llm-inference-service] :param request: The :class:`PreparedRequest ` being sent. [e2e-llm-inference-service] :param stream: (optional) Whether to stream the request content. [e2e-llm-inference-service] :param timeout: (optional) How long to wait for the server to send [e2e-llm-inference-service] data before giving up, as a float, or a :ref:`(connect timeout, [e2e-llm-inference-service] read timeout) ` tuple. [e2e-llm-inference-service] :type timeout: float or tuple or urllib3 Timeout object [e2e-llm-inference-service] :param verify: (optional) Either a boolean, in which case it controls whether [e2e-llm-inference-service] we verify the server's TLS certificate, or a string, in which case it [e2e-llm-inference-service] must be a path to a CA bundle to use [e2e-llm-inference-service] :param cert: (optional) Any user-provided SSL certificate to be trusted. [e2e-llm-inference-service] :param proxies: (optional) The proxies dictionary to apply to the request. [e2e-llm-inference-service] :rtype: requests.Response [e2e-llm-inference-service] """ [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] conn = self.get_connection_with_tls_context( [e2e-llm-inference-service] request, verify, proxies=proxies, cert=cert [e2e-llm-inference-service] ) [e2e-llm-inference-service] except LocationValueError as e: [e2e-llm-inference-service] raise InvalidURL(e, request=request) [e2e-llm-inference-service] [e2e-llm-inference-service] self.cert_verify(conn, request.url, verify, cert) [e2e-llm-inference-service] url = self.request_url(request, proxies) [e2e-llm-inference-service] self.add_headers( [e2e-llm-inference-service] request, [e2e-llm-inference-service] stream=stream, [e2e-llm-inference-service] timeout=timeout, [e2e-llm-inference-service] verify=verify, [e2e-llm-inference-service] cert=cert, [e2e-llm-inference-service] proxies=proxies, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] chunked = not (request.body is None or "Content-Length" in request.headers) [e2e-llm-inference-service] [e2e-llm-inference-service] if isinstance(timeout, tuple): [e2e-llm-inference-service] try: [e2e-llm-inference-service] connect, read = timeout [e2e-llm-inference-service] timeout = TimeoutSauce(connect=connect, read=read) [e2e-llm-inference-service] except ValueError: [e2e-llm-inference-service] raise ValueError( [e2e-llm-inference-service] f"Invalid timeout {timeout}. Pass a (connect, read) timeout tuple, " [e2e-llm-inference-service] f"or a single float to set both timeouts to the same value." [e2e-llm-inference-service] ) [e2e-llm-inference-service] elif isinstance(timeout, TimeoutSauce): [e2e-llm-inference-service] pass [e2e-llm-inference-service] else: [e2e-llm-inference-service] timeout = TimeoutSauce(connect=timeout, read=timeout) [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] > resp = conn.urlopen( [e2e-llm-inference-service] method=request.method, [e2e-llm-inference-service] url=url, [e2e-llm-inference-service] body=request.body, [e2e-llm-inference-service] headers=request.headers, [e2e-llm-inference-service] redirect=False, [e2e-llm-inference-service] assert_same_host=False, [e2e-llm-inference-service] preload_content=False, [e2e-llm-inference-service] decode_content=False, [e2e-llm-inference-service] retries=self.max_retries, [e2e-llm-inference-service] timeout=timeout, [e2e-llm-inference-service] chunked=chunked, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/requests/adapters.py:667: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] method = 'POST', url = '/v1/completions' [e2e-llm-inference-service] body = b'{"model": "publishers/kserve-ci-e2e-test/models/lora-adapter-1", "prompt": "KServe is a", "max_tokens": 20}' [e2e-llm-inference-service] headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-aliv...lication/json', 'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/lora-adapter-1', 'Content-Length': '107'} [e2e-llm-inference-service] retries = Retry(total=7, connect=None, read=None, redirect=None, status=None) [e2e-llm-inference-service] redirect = False, assert_same_host = False [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None [e2e-llm-inference-service] release_conn = False, chunked = False, body_pos = None, preload_content = False [e2e-llm-inference-service] decode_content = False, response_kw = {} [e2e-llm-inference-service] parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/v1/completions', query=None, fragment=None) [e2e-llm-inference-service] destination_scheme = None, conn = None, release_this_conn = True [e2e-llm-inference-service] http_tunnel_required = False [e2e-llm-inference-service] err = ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)") [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] parsed_url = parse_url(url) [e2e-llm-inference-service] destination_scheme = parsed_url.scheme [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] # Ensure that the URL we're connecting to is properly encoded [e2e-llm-inference-service] if url.startswith("/"): [e2e-llm-inference-service] url = to_str(_encode_target(url)) [e2e-llm-inference-service] else: [e2e-llm-inference-service] url = to_str(parsed_url.url) [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:871: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] method = 'POST', url = '/v1/completions' [e2e-llm-inference-service] body = b'{"model": "publishers/kserve-ci-e2e-test/models/lora-adapter-1", "prompt": "KServe is a", "max_tokens": 20}' [e2e-llm-inference-service] headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-aliv...lication/json', 'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/lora-adapter-1', 'Content-Length': '107'} [e2e-llm-inference-service] retries = Retry(total=6, connect=None, read=None, redirect=None, status=None) [e2e-llm-inference-service] redirect = False, assert_same_host = False [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None [e2e-llm-inference-service] release_conn = False, chunked = False, body_pos = None, preload_content = False [e2e-llm-inference-service] decode_content = False, response_kw = {} [e2e-llm-inference-service] parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/v1/completions', query=None, fragment=None) [e2e-llm-inference-service] destination_scheme = None, conn = None, release_this_conn = True [e2e-llm-inference-service] http_tunnel_required = False [e2e-llm-inference-service] err = ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)") [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] parsed_url = parse_url(url) [e2e-llm-inference-service] destination_scheme = parsed_url.scheme [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] # Ensure that the URL we're connecting to is properly encoded [e2e-llm-inference-service] if url.startswith("/"): [e2e-llm-inference-service] url = to_str(_encode_target(url)) [e2e-llm-inference-service] else: [e2e-llm-inference-service] url = to_str(parsed_url.url) [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:871: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] method = 'POST', url = '/v1/completions' [e2e-llm-inference-service] body = b'{"model": "publishers/kserve-ci-e2e-test/models/lora-adapter-1", "prompt": "KServe is a", "max_tokens": 20}' [e2e-llm-inference-service] headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-aliv...lication/json', 'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/lora-adapter-1', 'Content-Length': '107'} [e2e-llm-inference-service] retries = Retry(total=5, connect=None, read=None, redirect=None, status=None) [e2e-llm-inference-service] redirect = False, assert_same_host = False [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None [e2e-llm-inference-service] release_conn = False, chunked = False, body_pos = None, preload_content = False [e2e-llm-inference-service] decode_content = False, response_kw = {} [e2e-llm-inference-service] parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/v1/completions', query=None, fragment=None) [e2e-llm-inference-service] destination_scheme = None, conn = None, release_this_conn = True [e2e-llm-inference-service] http_tunnel_required = False [e2e-llm-inference-service] err = ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)") [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] parsed_url = parse_url(url) [e2e-llm-inference-service] destination_scheme = parsed_url.scheme [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] # Ensure that the URL we're connecting to is properly encoded [e2e-llm-inference-service] if url.startswith("/"): [e2e-llm-inference-service] url = to_str(_encode_target(url)) [e2e-llm-inference-service] else: [e2e-llm-inference-service] url = to_str(parsed_url.url) [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:871: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] method = 'POST', url = '/v1/completions' [e2e-llm-inference-service] body = b'{"model": "publishers/kserve-ci-e2e-test/models/lora-adapter-1", "prompt": "KServe is a", "max_tokens": 20}' [e2e-llm-inference-service] headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-aliv...lication/json', 'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/lora-adapter-1', 'Content-Length': '107'} [e2e-llm-inference-service] retries = Retry(total=4, connect=None, read=None, redirect=None, status=None) [e2e-llm-inference-service] redirect = False, assert_same_host = False [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None [e2e-llm-inference-service] release_conn = False, chunked = False, body_pos = None, preload_content = False [e2e-llm-inference-service] decode_content = False, response_kw = {} [e2e-llm-inference-service] parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/v1/completions', query=None, fragment=None) [e2e-llm-inference-service] destination_scheme = None, conn = None, release_this_conn = True [e2e-llm-inference-service] http_tunnel_required = False [e2e-llm-inference-service] err = ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)") [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] parsed_url = parse_url(url) [e2e-llm-inference-service] destination_scheme = parsed_url.scheme [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] # Ensure that the URL we're connecting to is properly encoded [e2e-llm-inference-service] if url.startswith("/"): [e2e-llm-inference-service] url = to_str(_encode_target(url)) [e2e-llm-inference-service] else: [e2e-llm-inference-service] url = to_str(parsed_url.url) [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:871: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] method = 'POST', url = '/v1/completions' [e2e-llm-inference-service] body = b'{"model": "publishers/kserve-ci-e2e-test/models/lora-adapter-1", "prompt": "KServe is a", "max_tokens": 20}' [e2e-llm-inference-service] headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-aliv...lication/json', 'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/lora-adapter-1', 'Content-Length': '107'} [e2e-llm-inference-service] retries = Retry(total=3, connect=None, read=None, redirect=None, status=None) [e2e-llm-inference-service] redirect = False, assert_same_host = False [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None [e2e-llm-inference-service] release_conn = False, chunked = False, body_pos = None, preload_content = False [e2e-llm-inference-service] decode_content = False, response_kw = {} [e2e-llm-inference-service] parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/v1/completions', query=None, fragment=None) [e2e-llm-inference-service] destination_scheme = None, conn = None, release_this_conn = True [e2e-llm-inference-service] http_tunnel_required = False [e2e-llm-inference-service] err = ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)") [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] parsed_url = parse_url(url) [e2e-llm-inference-service] destination_scheme = parsed_url.scheme [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] # Ensure that the URL we're connecting to is properly encoded [e2e-llm-inference-service] if url.startswith("/"): [e2e-llm-inference-service] url = to_str(_encode_target(url)) [e2e-llm-inference-service] else: [e2e-llm-inference-service] url = to_str(parsed_url.url) [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:871: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] method = 'POST', url = '/v1/completions' [e2e-llm-inference-service] body = b'{"model": "publishers/kserve-ci-e2e-test/models/lora-adapter-1", "prompt": "KServe is a", "max_tokens": 20}' [e2e-llm-inference-service] headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-aliv...lication/json', 'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/lora-adapter-1', 'Content-Length': '107'} [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 [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None [e2e-llm-inference-service] release_conn = False, chunked = False, body_pos = None, preload_content = False [e2e-llm-inference-service] decode_content = False, response_kw = {} [e2e-llm-inference-service] parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/v1/completions', query=None, fragment=None) [e2e-llm-inference-service] destination_scheme = None, conn = None, release_this_conn = True [e2e-llm-inference-service] http_tunnel_required = False [e2e-llm-inference-service] err = ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)") [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] parsed_url = parse_url(url) [e2e-llm-inference-service] destination_scheme = parsed_url.scheme [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] # Ensure that the URL we're connecting to is properly encoded [e2e-llm-inference-service] if url.startswith("/"): [e2e-llm-inference-service] url = to_str(_encode_target(url)) [e2e-llm-inference-service] else: [e2e-llm-inference-service] url = to_str(parsed_url.url) [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:871: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] method = 'POST', url = '/v1/completions' [e2e-llm-inference-service] body = b'{"model": "publishers/kserve-ci-e2e-test/models/lora-adapter-1", "prompt": "KServe is a", "max_tokens": 20}' [e2e-llm-inference-service] headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-aliv...lication/json', 'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/lora-adapter-1', 'Content-Length': '107'} [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 [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None [e2e-llm-inference-service] release_conn = False, chunked = False, body_pos = None, preload_content = False [e2e-llm-inference-service] decode_content = False, response_kw = {} [e2e-llm-inference-service] parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/v1/completions', query=None, fragment=None) [e2e-llm-inference-service] destination_scheme = None, conn = None, release_this_conn = True [e2e-llm-inference-service] http_tunnel_required = False [e2e-llm-inference-service] err = ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)") [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] parsed_url = parse_url(url) [e2e-llm-inference-service] destination_scheme = parsed_url.scheme [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] # Ensure that the URL we're connecting to is properly encoded [e2e-llm-inference-service] if url.startswith("/"): [e2e-llm-inference-service] url = to_str(_encode_target(url)) [e2e-llm-inference-service] else: [e2e-llm-inference-service] url = to_str(parsed_url.url) [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:871: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] method = 'POST', url = '/v1/completions' [e2e-llm-inference-service] body = b'{"model": "publishers/kserve-ci-e2e-test/models/lora-adapter-1", "prompt": "KServe is a", "max_tokens": 20}' [e2e-llm-inference-service] headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-aliv...lication/json', 'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/lora-adapter-1', 'Content-Length': '107'} [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 [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None [e2e-llm-inference-service] release_conn = False, chunked = False, body_pos = None, preload_content = False [e2e-llm-inference-service] decode_content = False, response_kw = {} [e2e-llm-inference-service] parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/v1/completions', query=None, fragment=None) [e2e-llm-inference-service] destination_scheme = None, conn = None, release_this_conn = True [e2e-llm-inference-service] http_tunnel_required = False [e2e-llm-inference-service] err = ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)") [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] parsed_url = parse_url(url) [e2e-llm-inference-service] destination_scheme = parsed_url.scheme [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] # Ensure that the URL we're connecting to is properly encoded [e2e-llm-inference-service] if url.startswith("/"): [e2e-llm-inference-service] url = to_str(_encode_target(url)) [e2e-llm-inference-service] else: [e2e-llm-inference-service] url = to_str(parsed_url.url) [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:871: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] method = 'POST', url = '/v1/completions' [e2e-llm-inference-service] body = b'{"model": "publishers/kserve-ci-e2e-test/models/lora-adapter-1", "prompt": "KServe is a", "max_tokens": 20}' [e2e-llm-inference-service] headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-aliv...lication/json', 'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/lora-adapter-1', 'Content-Length': '107'} [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 [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None [e2e-llm-inference-service] release_conn = False, chunked = False, body_pos = None, preload_content = False [e2e-llm-inference-service] decode_content = False, response_kw = {} [e2e-llm-inference-service] parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/v1/completions', query=None, fragment=None) [e2e-llm-inference-service] destination_scheme = None, conn = None, release_this_conn = True [e2e-llm-inference-service] http_tunnel_required = False, err = None, 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] parsed_url = parse_url(url) [e2e-llm-inference-service] destination_scheme = parsed_url.scheme [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] # Ensure that the URL we're connecting to is properly encoded [e2e-llm-inference-service] if url.startswith("/"): [e2e-llm-inference-service] url = to_str(_encode_target(url)) [e2e-llm-inference-service] else: [e2e-llm-inference-service] url = to_str(parsed_url.url) [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:841: [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 = '/v1/completions', response = None [e2e-llm-inference-service] error = ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)") [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: HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Max retries exceeded with url: /v1/completions (Caused by ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/util/retry.py:519: MaxRetryError [e2e-llm-inference-service] [e2e-llm-inference-service] During handling of the above exception, another exception occurred: [e2e-llm-inference-service] [e2e-llm-inference-service] def get_successful_response(): [e2e-llm-inference-service] try: [e2e-llm-inference-service] if test_case.url_getter: [e2e-llm-inference-service] service_url = test_case.url_getter(kserve_client, test_case.llm_service) [e2e-llm-inference-service] else: [e2e-llm-inference-service] service_url = get_llm_service_url(kserve_client, test_case.llm_service) [e2e-llm-inference-service] except Exception as e: [e2e-llm-inference-service] raise AssertionError(f"❌ Failed to get service URL: {e}") from e [e2e-llm-inference-service] [e2e-llm-inference-service] model_url = service_url + test_case.endpoint [e2e-llm-inference-service] [e2e-llm-inference-service] headers = {"Content-Type": "application/json"} [e2e-llm-inference-service] if extra_headers: [e2e-llm-inference-service] headers.update(extra_headers) [e2e-llm-inference-service] [e2e-llm-inference-service] if test_case.payload_formatter is not None: [e2e-llm-inference-service] test_payload = test_case.payload_formatter(test_case) [e2e-llm-inference-service] elif test_case.prompt is not None: [e2e-llm-inference-service] test_payload = { [e2e-llm-inference-service] "model": test_case.model_name [e2e-llm-inference-service] if not extra_headers or MODEL_ROUTING_HEADER not in extra_headers [e2e-llm-inference-service] else extra_headers[MODEL_ROUTING_HEADER], [e2e-llm-inference-service] "prompt": test_case.prompt, [e2e-llm-inference-service] "max_tokens": test_case.max_tokens, [e2e-llm-inference-service] } [e2e-llm-inference-service] else: [e2e-llm-inference-service] test_payload = None [e2e-llm-inference-service] [e2e-llm-inference-service] logger.info(f"Calling LLM service at {model_url} with payload {test_payload}") [e2e-llm-inference-service] try: [e2e-llm-inference-service] if test_payload is not None: [e2e-llm-inference-service] > response = post_with_retry( [e2e-llm-inference-service] model_url, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] json_data=test_payload, [e2e-llm-inference-service] timeout=test_case.response_timeout, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:1095: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] url = 'http://abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com/v1/completions' [e2e-llm-inference-service] [e2e-llm-inference-service] def post_with_retry( [e2e-llm-inference-service] url: str, [e2e-llm-inference-service] *, [e2e-llm-inference-service] headers: Dict = None, [e2e-llm-inference-service] json_data: Union[Dict, List] = None, [e2e-llm-inference-service] data: Union[str, bytes] = None, [e2e-llm-inference-service] stream: bool = False, [e2e-llm-inference-service] timeout: float = None, [e2e-llm-inference-service] total_retries: int = DEFAULT_RETRY_TOTAL, [e2e-llm-inference-service] backoff_factor: float = DEFAULT_RETRY_BACKOFF_FACTOR, [e2e-llm-inference-service] retry_status_codes=DEFAULT_RETRY_STATUS_CODES, [e2e-llm-inference-service] ) -> requests.Response: [e2e-llm-inference-service] """ [e2e-llm-inference-service] Send POST request with retries for transient HTTP and network failures. [e2e-llm-inference-service] """ [e2e-llm-inference-service] if json_data is not None and data is not None: [e2e-llm-inference-service] raise ValueError("Only one of json_data or data can be provided.") [e2e-llm-inference-service] [e2e-llm-inference-service] with _retry_session( [e2e-llm-inference-service] ["POST"], total_retries, backoff_factor, retry_status_codes [e2e-llm-inference-service] ) as session: [e2e-llm-inference-service] > return session.post( [e2e-llm-inference-service] url, [e2e-llm-inference-service] json=json_data, [e2e-llm-inference-service] data=data, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] stream=stream, [e2e-llm-inference-service] timeout=timeout, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] common/http_retry.py:70: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] url = 'http://abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com/v1/completions' [e2e-llm-inference-service] data = None [e2e-llm-inference-service] json = {'max_tokens': 20, 'model': 'publishers/kserve-ci-e2e-test/models/lora-adapter-1', 'prompt': 'KServe is a'} [e2e-llm-inference-service] kwargs = {'headers': {'Content-Type': 'application/json', 'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/lora-adapter-1'}, 'stream': False, 'timeout': 60} [e2e-llm-inference-service] [e2e-llm-inference-service] def post(self, url, data=None, json=None, **kwargs): [e2e-llm-inference-service] r"""Sends a POST request. Returns :class:`Response` object. [e2e-llm-inference-service] [e2e-llm-inference-service] :param url: URL for the new :class:`Request` object. [e2e-llm-inference-service] :param data: (optional) Dictionary, list of tuples, bytes, or file-like [e2e-llm-inference-service] object to send in the body of the :class:`Request`. [e2e-llm-inference-service] :param json: (optional) json to send in the body of the :class:`Request`. [e2e-llm-inference-service] :param \*\*kwargs: Optional arguments that ``request`` takes. [e2e-llm-inference-service] :rtype: requests.Response [e2e-llm-inference-service] """ [e2e-llm-inference-service] [e2e-llm-inference-service] > return self.request("POST", url, data=data, json=json, **kwargs) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/requests/sessions.py:637: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = , method = 'POST' [e2e-llm-inference-service] url = 'http://abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com/v1/completions' [e2e-llm-inference-service] params = None, data = None [e2e-llm-inference-service] headers = {'Content-Type': 'application/json', 'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/lora-adapter-1'} [e2e-llm-inference-service] cookies = None, files = None, auth = None, timeout = 60, allow_redirects = True [e2e-llm-inference-service] proxies = {}, hooks = None, stream = False, verify = None, cert = None [e2e-llm-inference-service] json = {'max_tokens': 20, 'model': 'publishers/kserve-ci-e2e-test/models/lora-adapter-1', 'prompt': 'KServe is a'} [e2e-llm-inference-service] [e2e-llm-inference-service] def request( [e2e-llm-inference-service] self, [e2e-llm-inference-service] method, [e2e-llm-inference-service] url, [e2e-llm-inference-service] params=None, [e2e-llm-inference-service] data=None, [e2e-llm-inference-service] headers=None, [e2e-llm-inference-service] cookies=None, [e2e-llm-inference-service] files=None, [e2e-llm-inference-service] auth=None, [e2e-llm-inference-service] timeout=None, [e2e-llm-inference-service] allow_redirects=True, [e2e-llm-inference-service] proxies=None, [e2e-llm-inference-service] hooks=None, [e2e-llm-inference-service] stream=None, [e2e-llm-inference-service] verify=None, [e2e-llm-inference-service] cert=None, [e2e-llm-inference-service] json=None, [e2e-llm-inference-service] ): [e2e-llm-inference-service] """Constructs a :class:`Request `, prepares it and sends it. [e2e-llm-inference-service] Returns :class:`Response ` object. [e2e-llm-inference-service] [e2e-llm-inference-service] :param method: method for the new :class:`Request` object. [e2e-llm-inference-service] :param url: URL for the new :class:`Request` object. [e2e-llm-inference-service] :param params: (optional) Dictionary or bytes to be sent in the query [e2e-llm-inference-service] string for the :class:`Request`. [e2e-llm-inference-service] :param data: (optional) Dictionary, list of tuples, bytes, or file-like [e2e-llm-inference-service] object to send in the body of the :class:`Request`. [e2e-llm-inference-service] :param json: (optional) json to send in the body of the [e2e-llm-inference-service] :class:`Request`. [e2e-llm-inference-service] :param headers: (optional) Dictionary of HTTP Headers to send with the [e2e-llm-inference-service] :class:`Request`. [e2e-llm-inference-service] :param cookies: (optional) Dict or CookieJar object to send with the [e2e-llm-inference-service] :class:`Request`. [e2e-llm-inference-service] :param files: (optional) Dictionary of ``'filename': file-like-objects`` [e2e-llm-inference-service] for multipart encoding upload. [e2e-llm-inference-service] :param auth: (optional) Auth tuple or callable to enable [e2e-llm-inference-service] Basic/Digest/Custom HTTP Auth. [e2e-llm-inference-service] :param timeout: (optional) How long to wait for the server to send [e2e-llm-inference-service] data before giving up, as a float, or a :ref:`(connect timeout, [e2e-llm-inference-service] read timeout) ` tuple. [e2e-llm-inference-service] :type timeout: float or tuple [e2e-llm-inference-service] :param allow_redirects: (optional) Set to True by default. [e2e-llm-inference-service] :type allow_redirects: bool [e2e-llm-inference-service] :param proxies: (optional) Dictionary mapping protocol or protocol and [e2e-llm-inference-service] hostname to the URL of the proxy. [e2e-llm-inference-service] :param hooks: (optional) Dictionary mapping hook name to one event or [e2e-llm-inference-service] list of events, event must be callable. [e2e-llm-inference-service] :param stream: (optional) whether to immediately download the response [e2e-llm-inference-service] content. Defaults to ``False``. [e2e-llm-inference-service] :param verify: (optional) Either a boolean, in which case it controls whether we verify [e2e-llm-inference-service] the server's TLS certificate, or a string, in which case it must be a path [e2e-llm-inference-service] to a CA bundle to use. Defaults to ``True``. When set to [e2e-llm-inference-service] ``False``, requests will accept any TLS certificate presented by [e2e-llm-inference-service] the server, and will ignore hostname mismatches and/or expired [e2e-llm-inference-service] certificates, which will make your application vulnerable to [e2e-llm-inference-service] man-in-the-middle (MitM) attacks. Setting verify to ``False`` [e2e-llm-inference-service] may be useful during local development or testing. [e2e-llm-inference-service] :param cert: (optional) if String, path to ssl client cert file (.pem). [e2e-llm-inference-service] If Tuple, ('cert', 'key') pair. [e2e-llm-inference-service] :rtype: requests.Response [e2e-llm-inference-service] """ [e2e-llm-inference-service] # Create the Request. [e2e-llm-inference-service] req = Request( [e2e-llm-inference-service] method=method.upper(), [e2e-llm-inference-service] url=url, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] files=files, [e2e-llm-inference-service] data=data or {}, [e2e-llm-inference-service] json=json, [e2e-llm-inference-service] params=params or {}, [e2e-llm-inference-service] auth=auth, [e2e-llm-inference-service] cookies=cookies, [e2e-llm-inference-service] hooks=hooks, [e2e-llm-inference-service] ) [e2e-llm-inference-service] prep = self.prepare_request(req) [e2e-llm-inference-service] [e2e-llm-inference-service] proxies = proxies or {} [e2e-llm-inference-service] [e2e-llm-inference-service] settings = self.merge_environment_settings( [e2e-llm-inference-service] prep.url, proxies, stream, verify, cert [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] # Send the request. [e2e-llm-inference-service] send_kwargs = { [e2e-llm-inference-service] "timeout": timeout, [e2e-llm-inference-service] "allow_redirects": allow_redirects, [e2e-llm-inference-service] } [e2e-llm-inference-service] send_kwargs.update(settings) [e2e-llm-inference-service] > resp = self.send(prep, **send_kwargs) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/requests/sessions.py:589: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] request = [e2e-llm-inference-service] kwargs = {'cert': None, 'proxies': OrderedDict(), 'stream': False, 'timeout': 60, ...} [e2e-llm-inference-service] allow_redirects = True, stream = False, hooks = {'response': []} [e2e-llm-inference-service] adapter = [e2e-llm-inference-service] start = 1783437549.5621355 [e2e-llm-inference-service] [e2e-llm-inference-service] def send(self, request, **kwargs): [e2e-llm-inference-service] """Send a given PreparedRequest. [e2e-llm-inference-service] [e2e-llm-inference-service] :rtype: requests.Response [e2e-llm-inference-service] """ [e2e-llm-inference-service] # Set defaults that the hooks can utilize to ensure they always have [e2e-llm-inference-service] # the correct parameters to reproduce the previous request. [e2e-llm-inference-service] kwargs.setdefault("stream", self.stream) [e2e-llm-inference-service] kwargs.setdefault("verify", self.verify) [e2e-llm-inference-service] kwargs.setdefault("cert", self.cert) [e2e-llm-inference-service] if "proxies" not in kwargs: [e2e-llm-inference-service] kwargs["proxies"] = resolve_proxies(request, self.proxies, self.trust_env) [e2e-llm-inference-service] [e2e-llm-inference-service] # It's possible that users might accidentally send a Request object. [e2e-llm-inference-service] # Guard against that specific failure case. [e2e-llm-inference-service] if isinstance(request, Request): [e2e-llm-inference-service] raise ValueError("You can only send PreparedRequests.") [e2e-llm-inference-service] [e2e-llm-inference-service] # Set up variables needed for resolve_redirects and dispatching of hooks [e2e-llm-inference-service] allow_redirects = kwargs.pop("allow_redirects", True) [e2e-llm-inference-service] stream = kwargs.get("stream") [e2e-llm-inference-service] hooks = request.hooks [e2e-llm-inference-service] [e2e-llm-inference-service] # Get the appropriate adapter to use [e2e-llm-inference-service] adapter = self.get_adapter(url=request.url) [e2e-llm-inference-service] [e2e-llm-inference-service] # Start time (approximately) of the request [e2e-llm-inference-service] start = preferred_clock() [e2e-llm-inference-service] [e2e-llm-inference-service] # Send the request [e2e-llm-inference-service] > r = adapter.send(request, **kwargs) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/requests/sessions.py:703: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] request = , stream = False [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), verify = '/tmp/ca.crt' [e2e-llm-inference-service] cert = None, proxies = OrderedDict() [e2e-llm-inference-service] [e2e-llm-inference-service] def send( [e2e-llm-inference-service] self, request, stream=False, timeout=None, verify=True, cert=None, proxies=None [e2e-llm-inference-service] ): [e2e-llm-inference-service] """Sends PreparedRequest object. Returns Response object. [e2e-llm-inference-service] [e2e-llm-inference-service] :param request: The :class:`PreparedRequest ` being sent. [e2e-llm-inference-service] :param stream: (optional) Whether to stream the request content. [e2e-llm-inference-service] :param timeout: (optional) How long to wait for the server to send [e2e-llm-inference-service] data before giving up, as a float, or a :ref:`(connect timeout, [e2e-llm-inference-service] read timeout) ` tuple. [e2e-llm-inference-service] :type timeout: float or tuple or urllib3 Timeout object [e2e-llm-inference-service] :param verify: (optional) Either a boolean, in which case it controls whether [e2e-llm-inference-service] we verify the server's TLS certificate, or a string, in which case it [e2e-llm-inference-service] must be a path to a CA bundle to use [e2e-llm-inference-service] :param cert: (optional) Any user-provided SSL certificate to be trusted. [e2e-llm-inference-service] :param proxies: (optional) The proxies dictionary to apply to the request. [e2e-llm-inference-service] :rtype: requests.Response [e2e-llm-inference-service] """ [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] conn = self.get_connection_with_tls_context( [e2e-llm-inference-service] request, verify, proxies=proxies, cert=cert [e2e-llm-inference-service] ) [e2e-llm-inference-service] except LocationValueError as e: [e2e-llm-inference-service] raise InvalidURL(e, request=request) [e2e-llm-inference-service] [e2e-llm-inference-service] self.cert_verify(conn, request.url, verify, cert) [e2e-llm-inference-service] url = self.request_url(request, proxies) [e2e-llm-inference-service] self.add_headers( [e2e-llm-inference-service] request, [e2e-llm-inference-service] stream=stream, [e2e-llm-inference-service] timeout=timeout, [e2e-llm-inference-service] verify=verify, [e2e-llm-inference-service] cert=cert, [e2e-llm-inference-service] proxies=proxies, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] chunked = not (request.body is None or "Content-Length" in request.headers) [e2e-llm-inference-service] [e2e-llm-inference-service] if isinstance(timeout, tuple): [e2e-llm-inference-service] try: [e2e-llm-inference-service] connect, read = timeout [e2e-llm-inference-service] timeout = TimeoutSauce(connect=connect, read=read) [e2e-llm-inference-service] except ValueError: [e2e-llm-inference-service] raise ValueError( [e2e-llm-inference-service] f"Invalid timeout {timeout}. Pass a (connect, read) timeout tuple, " [e2e-llm-inference-service] f"or a single float to set both timeouts to the same value." [e2e-llm-inference-service] ) [e2e-llm-inference-service] elif isinstance(timeout, TimeoutSauce): [e2e-llm-inference-service] pass [e2e-llm-inference-service] else: [e2e-llm-inference-service] timeout = TimeoutSauce(connect=timeout, read=timeout) [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] resp = conn.urlopen( [e2e-llm-inference-service] method=request.method, [e2e-llm-inference-service] url=url, [e2e-llm-inference-service] body=request.body, [e2e-llm-inference-service] headers=request.headers, [e2e-llm-inference-service] redirect=False, [e2e-llm-inference-service] assert_same_host=False, [e2e-llm-inference-service] preload_content=False, [e2e-llm-inference-service] decode_content=False, [e2e-llm-inference-service] retries=self.max_retries, [e2e-llm-inference-service] timeout=timeout, [e2e-llm-inference-service] chunked=chunked, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] except (ProtocolError, OSError) as err: [e2e-llm-inference-service] raise ConnectionError(err, request=request) [e2e-llm-inference-service] [e2e-llm-inference-service] except MaxRetryError as e: [e2e-llm-inference-service] if isinstance(e.reason, ConnectTimeoutError): [e2e-llm-inference-service] # TODO: Remove this in 3.0.0: see #2811 [e2e-llm-inference-service] if not isinstance(e.reason, NewConnectionError): [e2e-llm-inference-service] raise ConnectTimeout(e, request=request) [e2e-llm-inference-service] [e2e-llm-inference-service] if isinstance(e.reason, ResponseError): [e2e-llm-inference-service] raise RetryError(e, request=request) [e2e-llm-inference-service] [e2e-llm-inference-service] if isinstance(e.reason, _ProxyError): [e2e-llm-inference-service] raise ProxyError(e, request=request) [e2e-llm-inference-service] [e2e-llm-inference-service] if isinstance(e.reason, _SSLError): [e2e-llm-inference-service] # This branch is for urllib3 v1.22 and later. [e2e-llm-inference-service] raise SSLError(e, request=request) [e2e-llm-inference-service] [e2e-llm-inference-service] > raise ConnectionError(e, request=request) [e2e-llm-inference-service] E requests.exceptions.ConnectionError: HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Max retries exceeded with url: /v1/completions (Caused by ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/requests/adapters.py:700: ConnectionError [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-with-lora-hf'], prompt='KServe is a', ...opt-125m-with-lora-hf-a7886ead'}]}, [e2e-llm-inference-service] 'status': None}, model_name='publishers/kserve-ci-e2e-test/models/lora-adapter-1') [e2e-llm-inference-service] [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] @pytest.mark.asyncio(loop_scope="session") [e2e-llm-inference-service] @pytest.mark.parametrize( [e2e-llm-inference-service] "test_case", [e2e-llm-inference-service] [ [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-with-gateway-ref", [e2e-llm-inference-service] "router-with-managed-route", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/completions", [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=create_response_assertion(with_field="choices"), [e2e-llm-inference-service] expected_gateway=ROUTER_GATEWAYS[0], [e2e-llm-inference-service] before_test=[ [e2e-llm-inference-service] lambda: create_router_resources( [e2e-llm-inference-service] gateways=[ROUTER_GATEWAYS[0]], [e2e-llm-inference-service] ) [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] pytest.mark.custom_gateway, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-custom-route-timeout", [e2e-llm-inference-service] "scheduler-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="custom-route-timeout-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-with-refs", [e2e-llm-inference-service] "scheduler-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="router-with-refs-test", [e2e-llm-inference-service] expected_gateway=ROUTER_GATEWAYS[0], [e2e-llm-inference-service] before_test=[ [e2e-llm-inference-service] lambda: create_router_resources( [e2e-llm-inference-service] gateways=[ROUTER_GATEWAYS[0]], [e2e-llm-inference-service] routes=[ROUTER_ROUTES[0], ROUTER_ROUTES[1]], [e2e-llm-inference-service] ) [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.custom_gateway, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=["router-managed", "workload-pd-cpu", "model-fb-opt-125m"], [e2e-llm-inference-service] prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. " [e2e-llm-inference-service] "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. " [e2e-llm-inference-service] "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-custom-route-timeout-pd", [e2e-llm-inference-service] "scheduler-managed", [e2e-llm-inference-service] "workload-pd-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. " [e2e-llm-inference-service] "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. " [e2e-llm-inference-service] "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.", [e2e-llm-inference-service] service_name="custom-route-timeout-pd-test", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-with-refs-pd", [e2e-llm-inference-service] "scheduler-managed", [e2e-llm-inference-service] "workload-pd-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. " [e2e-llm-inference-service] "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. " [e2e-llm-inference-service] "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.", [e2e-llm-inference-service] service_name="router-with-refs-pd-test", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] expected_gateway=ROUTER_GATEWAYS[1], [e2e-llm-inference-service] before_test=[ [e2e-llm-inference-service] lambda: create_router_resources( [e2e-llm-inference-service] gateways=[ROUTER_GATEWAYS[1]], [e2e-llm-inference-service] routes=[ROUTER_ROUTES[2], ROUTER_ROUTES[3]], [e2e-llm-inference-service] ) [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.custom_gateway, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-dp-ep-gpu", [e2e-llm-inference-service] "workload-dp-ep-prefill-gpu", [e2e-llm-inference-service] "model-deepseek-v2-lite", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="Delve into the multifaceted implications of a fully disaggregated cloud architecture, specifically " [e2e-llm-inference-service] "where the compute plane (P) and the data plane (D) are independently deployed and managed for a " [e2e-llm-inference-service] "geographically distributed, high-throughput, low-latency microservices ecosystem. Beyond the " [e2e-llm-inference-service] "fundamental challenges of network latency and data consistency, elaborate on the advanced " [e2e-llm-inference-service] "considerations and trade-offs inherent in such a setup: 1. Network Architecture and Protocols: " [e2e-llm-inference-service] "How would the network fabric and underlying protocols (e.g., RDMA, custom transport layers) need to " [e2e-llm-inference-service] "evolve to support optimal performance and minimize inter-plane communication overhead, especially for " [e2e-llm-inference-service] "synchronous operations? Discuss the role of network programmability (e.g., SDN, P4) in dynamically " [e2e-llm-inference-service] "optimizing routing and traffic flow between P and D. 2. Advanced Data Consistency and Durability: " [e2e-llm-inference-service] "Explore sophisticated data consistency models (e.g., causal consistency, strong eventual consistency) " [e2e-llm-inference-service] "and their applicability in balancing performance and data integrity across a globally distributed data plane. " [e2e-llm-inference-service] "Detail strategies for ensuring data durability and fault tolerance, including multi-region replication, " [e2e-llm-inference-service] "intelligent partitioning, and recovery mechanisms in the event of partial or full plane failures. " [e2e-llm-inference-service] "3. Dynamic Resource Orchestration and Cost Optimization: Analyze how an orchestration layer would intelligently " [e2e-llm-inference-service] "manage the independent scaling of compute (P) and data (D) resources, considering fluctuating workloads, " [e2e-llm-inference-service] "cost efficiency, and performance targets (e.g., using predictive analytics for resource provisioning). " [e2e-llm-inference-service] "Discuss mechanisms for dynamically reallocating compute nodes to different data partitions based on " [e2e-llm-inference-service] "workload patterns and data locality, potentially involving live migration strategies. " [e2e-llm-inference-service] "4. Security and Compliance in a Distributed Landscape: Address the enhanced security perimeter " [e2e-llm-inference-service] "challenges, including securing communication channels between P and D (encryption in transit, mutual TLS), " [e2e-llm-inference-service] "fine-grained access control to data at rest and in motion, and identity management across disaggregated " [e2e-llm-inference-service] "components. Discuss how such an architecture impacts compliance with regulatory frameworks (e.g., GDPR, HIPAA) " [e2e-llm-inference-service] "concerning data sovereignty, privacy, and auditability. 5. Operational Complexity and Observability: " [e2e-llm-inference-service] "Examine the increased complexity in monitoring, logging, and tracing across highly decoupled compute and " [e2e-llm-inference-service] "data planes. What specialized tooling and practices (e.g., distributed tracing with OpenTelemetry, advanced AIOps) " [e2e-llm-inference-service] "would be essential? How would incident response and troubleshooting differ in this disaggregated environment " [e2e-llm-inference-service] "compared to traditional integrated systems? Consider the challenges of pinpointing root causes across " [e2e-llm-inference-service] "independent failures. 6. Real-world Applicability and Future Trends: Identify specific industries " [e2e-llm-inference-service] "or use cases (e.g., high-frequency trading, IoT edge processing, large language model inference) " [e2e-llm-inference-service] "where the benefits of P/D disaggregation would strongly outweigh its complexities. " [e2e-llm-inference-service] "Conclude by speculating on emerging technologies or paradigms (e.g., serverless compute functions " [e2e-llm-inference-service] "directly interacting with object storage, in-memory disaggregation) that could further drive or " [e2e-llm-inference-service] "transform P/D disaggregation in cloud computing.", [e2e-llm-inference-service] max_tokens=2000, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_gpu, [e2e-llm-inference-service] pytest.mark.cluster_nvidia, [e2e-llm-inference-service] pytest.mark.cluster_nvidia_roce, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-no-scheduler", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="What is KServe?", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.no_scheduler, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-simulated-dp-ep-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="This test simulates DP+EP that can run on CPU, the idea is to test the LWS-based deployment, " [e2e-llm-inference-service] "but without the resources requirements for DP+EP (GPUs and ROCe/IB).", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_multi_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Scheduler config tests [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-inline-config", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-inline-config-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Chat completions endpoint coverage [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] "model-qwen2.5-0.5b", [e2e-llm-inference-service] ], [e2e-llm-inference-service] model_name="Qwen/Qwen2.5-0.5B-Instruct", [e2e-llm-inference-service] endpoint="/v1/chat/completions", [e2e-llm-inference-service] prompt="What is KServe?", [e2e-llm-inference-service] payload_formatter=chat_completions_payload, [e2e-llm-inference-service] response_assertion=create_response_assertion(with_field="choices"), [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-configmap-ref", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-configmap-ref-test", [e2e-llm-inference-service] before_test=[create_scheduler_configmap], [e2e-llm-inference-service] after_test=[delete_scheduler_configmap], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-replicas", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-ha-replicas-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-custom-template", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-custom-template-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Scheduler v0.6 → v0.7 migration tests. [e2e-llm-inference-service] # Deploy v0.6-style configs and verify the controller migrates them [e2e-llm-inference-service] # so the v0.7 scheduler boots successfully. [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-v06-pd-config-migration", [e2e-llm-inference-service] "workload-llmd-simulator-pd", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-v06-pd-migration-test", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-v06-nonzero-threshold-migration", [e2e-llm-inference-service] "workload-llmd-simulator-pd", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-v06-threshold-migration-test", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Precise prefix KV cache routing test [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-precise-prefix-cache-inline-config", [e2e-llm-inference-service] "workload-llmd-simulator-kvcache", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="precise-prefix-cache-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Models endpoint coverage [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/models", [e2e-llm-inference-service] response_assertion=create_response_assertion(with_field="data"), [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Model-based routing via X-Gateway-Model-Name header — /v1/completions [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/completions", [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches("facebook/opt-125m"), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m", [e2e-llm-inference-service] }, [e2e-llm-inference-service] peers=[ [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] "model-qwen2.5-0.5b", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/completions", [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches( [e2e-llm-inference-service] "Qwen/Qwen2.5-0.5B-Instruct" [e2e-llm-inference-service] ), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/Qwen/Qwen2.5-0.5B-Instruct", [e2e-llm-inference-service] }, [e2e-llm-inference-service] ), [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] pytest.mark.model_routing, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Model-based routing via X-Gateway-Model-Name header — /v1/chat/completions [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/chat/completions", [e2e-llm-inference-service] prompt="What is KServe?", [e2e-llm-inference-service] payload_formatter=chat_completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches("facebook/opt-125m"), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m", [e2e-llm-inference-service] }, [e2e-llm-inference-service] peers=[ [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] "model-qwen2.5-0.5b", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/chat/completions", [e2e-llm-inference-service] prompt="What is KServe?", [e2e-llm-inference-service] payload_formatter=chat_completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches( [e2e-llm-inference-service] "Qwen/Qwen2.5-0.5B-Instruct" [e2e-llm-inference-service] ), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/Qwen/Qwen2.5-0.5B-Instruct", [e2e-llm-inference-service] }, [e2e-llm-inference-service] ), [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] pytest.mark.model_routing, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Model-based routing via X-Gateway-Model-Name header — LoRA adapter [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m-with-lora-hf", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/completions", [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] model_name=f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches( [e2e-llm-inference-service] f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1" [e2e-llm-inference-service] ), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1", [e2e-llm-inference-service] }, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.model_routing, [e2e-llm-inference-service] pytest.mark.lora, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Model-based routing via X-Gateway-Model-Name header — /v1/models (base + LoRA) [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m-with-lora-hf", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/models", [e2e-llm-inference-service] response_assertion=assert_models_contains( [e2e-llm-inference-service] "facebook/opt-125m", [e2e-llm-inference-service] f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m", [e2e-llm-inference-service] "lora-adapter-1", [e2e-llm-inference-service] f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1", [e2e-llm-inference-service] ), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m", [e2e-llm-inference-service] }, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.model_routing, [e2e-llm-inference-service] pytest.mark.lora, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # PVC storage tests -- validate direct PVC volume mount with real vLLM serving [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-pvc", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] before_test=[ensure_pvc_with_model], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.pvc_storage, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-pd-cpu", [e2e-llm-inference-service] "model-pvc", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] before_test=[ensure_pvc_with_model], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.pvc_storage, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-simulated-dp-ep-cpu", [e2e-llm-inference-service] "model-pvc", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] before_test=[ensure_pvc_with_model], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_multi_node, [e2e-llm-inference-service] pytest.mark.pvc_storage, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] ], [e2e-llm-inference-service] indirect=["test_case"], [e2e-llm-inference-service] ids=generate_test_id, [e2e-llm-inference-service] ) [e2e-llm-inference-service] @log_execution [e2e-llm-inference-service] def test_llm_inference_service(test_case: TestCase): # noqa: F811 [e2e-llm-inference-service] inject_k8s_proxy() [e2e-llm-inference-service] [e2e-llm-inference-service] kserve_client = KServeClient( [e2e-llm-inference-service] config_file=os.environ.get("KUBECONFIG", "~/.kube/config"), [e2e-llm-inference-service] client_configuration=client.Configuration(), [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] service_name = test_case.llm_service.metadata.name [e2e-llm-inference-service] if not test_case.llm_service.metadata.annotations: [e2e-llm-inference-service] test_case.llm_service.metadata.annotations = {} [e2e-llm-inference-service] [e2e-llm-inference-service] test_case.llm_service.metadata.annotations[ [e2e-llm-inference-service] "security.opendatahub.io/enable-auth" [e2e-llm-inference-service] ] = "false" [e2e-llm-inference-service] prefix = test_case.log_prefix [e2e-llm-inference-service] [e2e-llm-inference-service] test_failed = False [e2e-llm-inference-service] try: [e2e-llm-inference-service] print(f"{prefix} Creating LLMInferenceService {service_name}") [e2e-llm-inference-service] create_llmisvc(kserve_client, test_case.llm_service) [e2e-llm-inference-service] print(f"{prefix} Waiting for LLMInferenceService {service_name} to be ready") [e2e-llm-inference-service] wait_for_llm_isvc_ready( [e2e-llm-inference-service] kserve_client, test_case.llm_service, test_case.wait_timeout [e2e-llm-inference-service] ) [e2e-llm-inference-service] print(f"{prefix} Waiting for model response from {service_name}") [e2e-llm-inference-service] > wait_for_model_response( [e2e-llm-inference-service] kserve_client, [e2e-llm-inference-service] test_case, [e2e-llm-inference-service] test_case.wait_timeout, [e2e-llm-inference-service] extra_headers=test_case.extra_headers, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:816: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] args = (, TestCase(base_refs=['router-managed', 'workload-sin...5m-with-lora-hf-a7886ead'}]}, [e2e-llm-inference-service] 'status': None}, model_name='publishers/kserve-ci-e2e-test/models/lora-adapter-1'), 900) [e2e-llm-inference-service] kwargs = {'extra_headers': {'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/lora-adapter-1'}} [e2e-llm-inference-service] func_name = 'wait_for_model_response' [e2e-llm-inference-service] timestamp_start = '2026-07-07T15:19:09.551656', start_time = 1783437549.5519373 [e2e-llm-inference-service] duration = 904.5470888614655, timestamp_end = '2026-07-07T15:34:14.099030' [e2e-llm-inference-service] [e2e-llm-inference-service] @functools.wraps(func) [e2e-llm-inference-service] def wrapper(*args, **kwargs): [e2e-llm-inference-service] func_name = func.__name__ [e2e-llm-inference-service] [e2e-llm-inference-service] timestamp_start = datetime.now().isoformat() [e2e-llm-inference-service] logger.info( [e2e-llm-inference-service] f"[{func_name}] [{timestamp_start}] start - args={args}, kwargs={kwargs}" [e2e-llm-inference-service] ) [e2e-llm-inference-service] start_time = time.time() [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] > result = func(*args, **kwargs) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/logging.py:40: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] kserve_client = [e2e-llm-inference-service] test_case = TestCase(base_refs=['router-managed', 'workload-single-cpu', 'model-fb-opt-125m-with-lora-hf'], prompt='KServe is a', ...opt-125m-with-lora-hf-a7886ead'}]}, [e2e-llm-inference-service] 'status': None}, model_name='publishers/kserve-ci-e2e-test/models/lora-adapter-1') [e2e-llm-inference-service] timeout_seconds = 900 [e2e-llm-inference-service] extra_headers = {'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/lora-adapter-1'} [e2e-llm-inference-service] [e2e-llm-inference-service] @log_execution [e2e-llm-inference-service] def wait_for_model_response( [e2e-llm-inference-service] kserve_client: KServeClient, [e2e-llm-inference-service] test_case: TestCase, # noqa: F811 [e2e-llm-inference-service] timeout_seconds: int = 900, [e2e-llm-inference-service] extra_headers: Optional[Dict[str, str]] = None, [e2e-llm-inference-service] ) -> str: [e2e-llm-inference-service] def get_successful_response(): [e2e-llm-inference-service] try: [e2e-llm-inference-service] if test_case.url_getter: [e2e-llm-inference-service] service_url = test_case.url_getter(kserve_client, test_case.llm_service) [e2e-llm-inference-service] else: [e2e-llm-inference-service] service_url = get_llm_service_url(kserve_client, test_case.llm_service) [e2e-llm-inference-service] except Exception as e: [e2e-llm-inference-service] raise AssertionError(f"❌ Failed to get service URL: {e}") from e [e2e-llm-inference-service] [e2e-llm-inference-service] model_url = service_url + test_case.endpoint [e2e-llm-inference-service] [e2e-llm-inference-service] headers = {"Content-Type": "application/json"} [e2e-llm-inference-service] if extra_headers: [e2e-llm-inference-service] headers.update(extra_headers) [e2e-llm-inference-service] [e2e-llm-inference-service] if test_case.payload_formatter is not None: [e2e-llm-inference-service] test_payload = test_case.payload_formatter(test_case) [e2e-llm-inference-service] elif test_case.prompt is not None: [e2e-llm-inference-service] test_payload = { [e2e-llm-inference-service] "model": test_case.model_name [e2e-llm-inference-service] if not extra_headers or MODEL_ROUTING_HEADER not in extra_headers [e2e-llm-inference-service] else extra_headers[MODEL_ROUTING_HEADER], [e2e-llm-inference-service] "prompt": test_case.prompt, [e2e-llm-inference-service] "max_tokens": test_case.max_tokens, [e2e-llm-inference-service] } [e2e-llm-inference-service] else: [e2e-llm-inference-service] test_payload = None [e2e-llm-inference-service] [e2e-llm-inference-service] logger.info(f"Calling LLM service at {model_url} with payload {test_payload}") [e2e-llm-inference-service] try: [e2e-llm-inference-service] if test_payload is not None: [e2e-llm-inference-service] response = post_with_retry( [e2e-llm-inference-service] model_url, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] json_data=test_payload, [e2e-llm-inference-service] timeout=test_case.response_timeout, [e2e-llm-inference-service] ) [e2e-llm-inference-service] else: [e2e-llm-inference-service] response = get_with_retry( [e2e-llm-inference-service] model_url, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] timeout=test_case.response_timeout, [e2e-llm-inference-service] ) [e2e-llm-inference-service] except Exception as e: [e2e-llm-inference-service] logger.error(f"❌ Failed to call model: {e}") [e2e-llm-inference-service] raise AssertionError(f"❌ Failed to call model: {e}") from e [e2e-llm-inference-service] [e2e-llm-inference-service] logger.info(f"Model response is {response.status_code}: {response.text[:500]}") [e2e-llm-inference-service] [e2e-llm-inference-service] if 200 <= response.status_code < 300: [e2e-llm-inference-service] return response [e2e-llm-inference-service] raise AssertionError( [e2e-llm-inference-service] f"Service returned {response.status_code}: {response.text}" [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] > response = wait_for(get_successful_response, timeout=timeout_seconds, interval=5.0) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:1119: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] assertion_fn = .get_successful_response at 0x7fb9db8fe020> [e2e-llm-inference-service] timeout = 900, interval = 5.0 [e2e-llm-inference-service] [e2e-llm-inference-service] def wait_for( [e2e-llm-inference-service] assertion_fn: Callable[[], Any], timeout: float = 5.0, interval: float = 0.1 [e2e-llm-inference-service] ) -> Any: [e2e-llm-inference-service] """Wait for the assertion to succeed within timeout.""" [e2e-llm-inference-service] deadline = time.time() + timeout [e2e-llm-inference-service] last_msg = None [e2e-llm-inference-service] while True: [e2e-llm-inference-service] try: [e2e-llm-inference-service] > return assertion_fn() [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:1215: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] def get_successful_response(): [e2e-llm-inference-service] try: [e2e-llm-inference-service] if test_case.url_getter: [e2e-llm-inference-service] service_url = test_case.url_getter(kserve_client, test_case.llm_service) [e2e-llm-inference-service] else: [e2e-llm-inference-service] service_url = get_llm_service_url(kserve_client, test_case.llm_service) [e2e-llm-inference-service] except Exception as e: [e2e-llm-inference-service] raise AssertionError(f"❌ Failed to get service URL: {e}") from e [e2e-llm-inference-service] [e2e-llm-inference-service] model_url = service_url + test_case.endpoint [e2e-llm-inference-service] [e2e-llm-inference-service] headers = {"Content-Type": "application/json"} [e2e-llm-inference-service] if extra_headers: [e2e-llm-inference-service] headers.update(extra_headers) [e2e-llm-inference-service] [e2e-llm-inference-service] if test_case.payload_formatter is not None: [e2e-llm-inference-service] test_payload = test_case.payload_formatter(test_case) [e2e-llm-inference-service] elif test_case.prompt is not None: [e2e-llm-inference-service] test_payload = { [e2e-llm-inference-service] "model": test_case.model_name [e2e-llm-inference-service] if not extra_headers or MODEL_ROUTING_HEADER not in extra_headers [e2e-llm-inference-service] else extra_headers[MODEL_ROUTING_HEADER], [e2e-llm-inference-service] "prompt": test_case.prompt, [e2e-llm-inference-service] "max_tokens": test_case.max_tokens, [e2e-llm-inference-service] } [e2e-llm-inference-service] else: [e2e-llm-inference-service] test_payload = None [e2e-llm-inference-service] [e2e-llm-inference-service] logger.info(f"Calling LLM service at {model_url} with payload {test_payload}") [e2e-llm-inference-service] try: [e2e-llm-inference-service] if test_payload is not None: [e2e-llm-inference-service] response = post_with_retry( [e2e-llm-inference-service] model_url, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] json_data=test_payload, [e2e-llm-inference-service] timeout=test_case.response_timeout, [e2e-llm-inference-service] ) [e2e-llm-inference-service] else: [e2e-llm-inference-service] response = get_with_retry( [e2e-llm-inference-service] model_url, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] timeout=test_case.response_timeout, [e2e-llm-inference-service] ) [e2e-llm-inference-service] except Exception as e: [e2e-llm-inference-service] logger.error(f"❌ Failed to call model: {e}") [e2e-llm-inference-service] > raise AssertionError(f"❌ Failed to call model: {e}") from e [e2e-llm-inference-service] E AssertionError: ❌ Failed to call model: HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Max retries exceeded with url: /v1/completions (Caused by ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:1109: AssertionError [e2e-llm-inference-service] ------------------------------ Captured log setup ------------------------------ [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1637 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1586 Checking LLMInferenceServiceConfig router-managed-llmisvc-model-fb-98f275aa in namespace kserve-ci-e2e-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1612 Resource not found, creating LLMInferenceServiceConfig router-managed-llmisvc-model-fb-98f275aa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1622 ✓ Successfully created LLMInferenceServiceConfig router-managed-llmisvc-model-fb-98f275aa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1586 Checking LLMInferenceServiceConfig workload-single-cpu-llmisvc-mod-495991f8 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1612 Resource not found, creating LLMInferenceServiceConfig workload-single-cpu-llmisvc-mod-495991f8 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1622 ✓ Successfully created LLMInferenceServiceConfig workload-single-cpu-llmisvc-mod-495991f8 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1586 Checking LLMInferenceServiceConfig model-fb-opt-125m-with-lora-hf-a7886ead in namespace kserve-ci-e2e-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1612 Resource not found, creating LLMInferenceServiceConfig model-fb-opt-125m-with-lora-hf-a7886ead [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1622 ✓ Successfully created LLMInferenceServiceConfig model-fb-opt-125m-with-lora-hf-a7886ead [e2e-llm-inference-service] ------------------------------ Captured log call ------------------------------- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [test_llm_inference_service] [2026-07-07T15:17:29.363240] start - args=(), kwargs={'test_case': TestCase(base_refs=['router-managed', 'workload-single-cpu', 'model-fb-opt-125m-with-lora-hf'], prompt='KServe is a', service_name='llmisvc-model-fb-opt-125m-with-7ca60146', endpoint='/v1/completions', max_tokens=20, payload_formatter=, response_assertion=.response_assertion at 0x7fb9dc91c220>, wait_timeout=900, response_timeout=60, extra_headers={'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/lora-adapter-1'}, url_getter=, expected_gateway=None, before_test=[], after_test=[], peers=[], llm_service={'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': None, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-7ca60146', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-98f275aa'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-495991f8'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-a7886ead'}]}, [e2e-llm-inference-service] 'status': None}, model_name='publishers/kserve-ci-e2e-test/models/lora-adapter-1')} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1637 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [create_llmisvc] [2026-07-07T15:17:29.377519] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-7ca60146', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-98f275aa'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-495991f8'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-a7886ead'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [create_llmisvc] [2026-07-07T15:17:29.445668] end - ✅ in 0.068s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [wait_for_llm_isvc_ready] [2026-07-07T15:17:29.445856] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-7ca60146', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-98f275aa'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-495991f8'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-a7886ead'}]}, [e2e-llm-inference-service] 'status': None}, 900), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1222 Waiting: No conditions found in status [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1222 Waiting: Missing true conditions: {'Ready', 'WorkloadsReady', 'RouterReady'}, expected {'Ready', 'WorkloadsReady', 'RouterReady'}, got [{'lastTransitionTime': '2026-07-07T15:17:40Z', 'message': 'The following HTTPRoutes are not ready: [kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-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': '2026-07-07T15:17:40Z', 'message': 'Inference Pool kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-inference-pool exists but no Gateway controller has accepted it yet', 'reason': 'WaitingForGateway', 'severity': 'Info', 'status': 'False', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-07T15:17:40Z', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-07T15:17:40Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-07T15:17:40Z', 'message': 'The following HTTPRoutes are not ready: [kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-route: "False" (reason "InvalidKind", message "referencing unsupported backendRef: group \\"inference.networking.x-k8s.io\\" kind \\"InferencePool\\"")]', 'reason': 'HTTPRoutesNotReady', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-07T15:17:40Z', 'message': 'The following HTTPRoutes are not ready: [kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-route: "False" (reason "InvalidKind", message "referencing unsupported backendRef: group \\"inference.networking.x-k8s.io\\" kind \\"InferencePool\\"")]', 'reason': 'HTTPRoutesNotReady', 'status': 'False', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-07T15:17:40Z', 'message': 'Deployment rollout in progress', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-07T15:17:40Z', 'reason': 'Progressing', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1222 Waiting: Missing true conditions: {'Ready', 'WorkloadsReady', 'RouterReady'}, expected {'Ready', 'WorkloadsReady', 'RouterReady'}, got [{'lastTransitionTime': '2026-07-07T15:17:59Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-07T15:17:59Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-07T15:17:59Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-07T15:17:40Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-07T15:17:59Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-07T15:17:59Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-07T15:17:59Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-07T15:17:59Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1222 Waiting: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'Ready', 'WorkloadsReady', 'RouterReady'}, got [{'lastTransitionTime': '2026-07-07T15:17:59Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-07T15:17:59Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-07T15:17:59Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-07T15:17:40Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-07T15:17:59Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-07T15:18:13Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-07T15:18:13Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-07T15:17:59Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [wait_for_llm_isvc_ready] [2026-07-07T15:19:09.551519] end - ✅ in 100.105s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [wait_for_model_response] [2026-07-07T15:19:09.551656] start - args=(, TestCase(base_refs=['router-managed', 'workload-single-cpu', 'model-fb-opt-125m-with-lora-hf'], prompt='KServe is a', service_name='llmisvc-model-fb-opt-125m-with-7ca60146', endpoint='/v1/completions', max_tokens=20, payload_formatter=, response_assertion=.response_assertion at 0x7fb9dc91c220>, wait_timeout=900, response_timeout=60, extra_headers={'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/lora-adapter-1'}, url_getter=, expected_gateway=None, before_test=[], after_test=[], peers=[], llm_service={'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-7ca60146', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-98f275aa'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-495991f8'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-a7886ead'}]}, [e2e-llm-inference-service] 'status': None}, model_name='publishers/kserve-ci-e2e-test/models/lora-adapter-1'), 900), kwargs={'extra_headers': {'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/lora-adapter-1'}} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-07T15:19:09.551942] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-7ca60146', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-98f275aa'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-495991f8'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-a7886ead'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-7ca60146: http://abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-07T15:19:09.561426] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com/v1/completions with payload {'model': 'publishers/kserve-ci-e2e-test/models/lora-adapter-1', 'prompt': 'KServe is a', 'max_tokens': 20} [e2e-llm-inference-service] WARNING urllib3.connectionpool:connectionpool.py:868 Retrying (Retry(total=7, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")': /v1/completions [e2e-llm-inference-service] WARNING urllib3.connectionpool:connectionpool.py:868 Retrying (Retry(total=6, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")': /v1/completions [e2e-llm-inference-service] WARNING urllib3.connectionpool:connectionpool.py:868 Retrying (Retry(total=5, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")': /v1/completions [e2e-llm-inference-service] WARNING urllib3.connectionpool:connectionpool.py:868 Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")': /v1/completions [e2e-llm-inference-service] WARNING urllib3.connectionpool:connectionpool.py:868 Retrying (Retry(total=3, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")': /v1/completions [e2e-llm-inference-service] WARNING urllib3.connectionpool:connectionpool.py:868 Retrying (Retry(total=2, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")': /v1/completions [e2e-llm-inference-service] WARNING urllib3.connectionpool:connectionpool.py:868 Retrying (Retry(total=1, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")': /v1/completions [e2e-llm-inference-service] WARNING urllib3.connectionpool:connectionpool.py:868 Retrying (Retry(total=0, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")': /v1/completions [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:test_llm_inference_service.py:1108 ❌ Failed to call model: HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Max retries exceeded with url: /v1/completions (Caused by ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")) [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:test_llm_inference_service.py:1219 Timed out waiting: ❌ Failed to call model: HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Max retries exceeded with url: /v1/completions (Caused by ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")) [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:logging.py:48 [wait_for_model_response] [2026-07-07T15:34:14.099030] end - ❌ 904.547s: ❌ Failed to call model: HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Max retries exceeded with url: /v1/completions (Caused by ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")) [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:test_llm_inference_service.py:831 [router-managed-workload-single-cpu-model-fb-opt-125m-with-lora-hf] ❌ ERROR: Failed to call llm inference service llmisvc-model-fb-opt-125m-with-7ca60146: ❌ Failed to call model: HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Max retries exceeded with url: /v1/completions (Caused by ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1240 🔍 # Diagnostics for 'llmisvc-model-fb-opt-125m-with-7ca60146' in 'kserve-ci-e2e-test' [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1241 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1242 # LLMInferenceService llmisvc-model-fb-opt-125m-with-7ca60146 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1245 apiVersion: serving.kserve.io/v1alpha1 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] security.opendatahub.io/enable-auth: 'false' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:17:29Z' [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: '2026-07-07T15:17:29Z' [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: '2026-07-07T15:17:29Z' [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:addresses: {} [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-decode-template: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-decode-worker-data-parallel: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-prefill-template: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-prefill-worker-data-parallel: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-router-route: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-scheduler: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-template: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-tracing: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-worker-data-parallel: {} [e2e-llm-inference-service] f:appliedConfigs: {} [e2e-llm-inference-service] f:conditions: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:router: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:gateways: {} [e2e-llm-inference-service] f:scheduler: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:inferencePool: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:group: {} [e2e-llm-inference-service] f:kind: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:service: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:group: {} [e2e-llm-inference-service] f:kind: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:url: {} [e2e-llm-inference-service] f:workloads: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:primary: {} [e2e-llm-inference-service] f:scheduler: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-07T15:19:08Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146 [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] resourceVersion: '30629' [e2e-llm-inference-service] uid: 32bc1703-1fbf-4f2e-9cc0-d3f7423bbe9e [e2e-llm-inference-service] spec: [e2e-llm-inference-service] baseRefs: [e2e-llm-inference-service] - name: router-managed-llmisvc-model-fb-98f275aa [e2e-llm-inference-service] - name: workload-single-cpu-llmisvc-mod-495991f8 [e2e-llm-inference-service] - name: model-fb-opt-125m-with-lora-hf-a7886ead [e2e-llm-inference-service] model: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146 [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://abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com/ [e2e-llm-inference-service] - name: gateway-external [e2e-llm-inference-service] url: http://abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com/kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146 [e2e-llm-inference-service] - name: gateway-internal-model-routing [e2e-llm-inference-service] url: http://openshift-ai-inference-openshift-default.openshift-ingress.svc.cluster.local/ [e2e-llm-inference-service] - name: gateway-internal [e2e-llm-inference-service] url: http://openshift-ai-inference-openshift-default.openshift-ingress.svc.cluster.local/kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146 [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] serving.kserve.io/config-llm-decode-template: kserve-config-llm-decode-template [e2e-llm-inference-service] serving.kserve.io/config-llm-decode-worker-data-parallel: kserve-config-llm-decode-worker-data-parallel [e2e-llm-inference-service] serving.kserve.io/config-llm-prefill-template: kserve-config-llm-prefill-template [e2e-llm-inference-service] serving.kserve.io/config-llm-prefill-worker-data-parallel: kserve-config-llm-prefill-worker-data-parallel [e2e-llm-inference-service] serving.kserve.io/config-llm-router-route: kserve-config-llm-router-route [e2e-llm-inference-service] serving.kserve.io/config-llm-scheduler: kserve-config-llm-scheduler [e2e-llm-inference-service] serving.kserve.io/config-llm-template: kserve-config-llm-template [e2e-llm-inference-service] serving.kserve.io/config-llm-tracing: kserve-config-llm-tracing [e2e-llm-inference-service] serving.kserve.io/config-llm-worker-data-parallel: kserve-config-llm-worker-data-parallel [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T15:17:59Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: HTTPRoutesReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T15:17:59Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: InferencePoolReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T15:19:08Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: MainWorkloadReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T15:17:40Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: PresetsCombined [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T15:19:08Z' [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: Ready [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T15:18:13Z' [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: RouterReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T15:18:13Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: SchedulerWorkloadReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T15:19:08Z' [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: WorkloadsReady [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] url: http://abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com/kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146 [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:44 TIME NAMESPACE SOURCE TYPE REASON MESSAGE [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:45 -------------------------------------------------------------------------------------------------- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-disabled-test-kserve-c58f655c7-9qnmk to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.36/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:28 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:28 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:32 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:32 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:32 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:18:27 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.36:8000/health": dial tcp 10.134.0.36:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-disabled-test-kserve-c58f655c7-9qnmk [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-disabled-test-kserve-router-scheduler-65b4fbcbbd-p87dh to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:28 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.36/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:28 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:28 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:28 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:29 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:29 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:29 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-disabled-test-kserve-router-scheduler-65b4fbcbbd-p87dh [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-disabled-test-kserve-router-scheduler-65b4fbcbbd from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-disabled-test-kserve-c58f655c7 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:20 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy auth-disabled-test-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/auth-disabled-test-kserve-route: HTTPRoute.gateway.networking.k8s.io "auth-disabled-test-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/auth-disabled-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-disabled-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-disabled-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/auth-disabled-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-disabled-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/auth-disabled-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/auth-disabled-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-disabled-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-disabled-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/auth-disabled-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:44 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/auth-disabled-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:44 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/auth-disabled-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:18:38 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [auth-disabled-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-enabled-test-kserve-6545cfc5c9-w82j8 to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.34/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulling Pulling image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:23 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Successfully pulled image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" in 3.609s (3.609s including waiting). Image size: 301881278 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:23 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:23 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:28 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulling Pulling image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:14 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Successfully pulled image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" in 45.616s (45.616s including waiting). Image size: 3531177328 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:14 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:14 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:59 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.34:8000/health": dial tcp 10.134.0.34:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:14 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-enabled-test-kserve-6545cfc5c9-w82j8 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-enabled-test-kserve-router-scheduler-79bc59d7f5-4xdsg to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.42/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:21 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:22 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" in 1.265s (1.265s including waiting). Image size: 75073927 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:22 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:22 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:14 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:14 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-enabled-test-kserve-router-scheduler-79bc59d7f5-4xdsg [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-enabled-test-kserve-router-scheduler-79bc59d7f5 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-enabled-test-kserve-6545cfc5c9 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/auth-enabled-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-enabled-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-enabled-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/auth-enabled-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-enabled-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/auth-enabled-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/auth-enabled-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-enabled-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-enabled-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/auth-enabled-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:42 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/auth-enabled-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/auth-enabled-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:09 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [auth-enabled-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-enabled-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-invalid-token-test-kserve-686cc8ccdc-k45d6 to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.35/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:55 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:55 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:55 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:41 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.35:8000/health": dial tcp 10.134.0.35:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:52 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:08 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Readiness probe failed: Get "https://10.134.0.35:8000/health": dial tcp 10.134.0.35:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:50 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-invalid-token-test-kserve-686cc8ccdc-k45d6 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-invalid-token-test-kserve-router-scheduler-55fc95f97crkwl9 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-invalid-token-test-kserve-router-scheduler-55fc95f97crkwl9 to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.33/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:53 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:53 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:53 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:52 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:52 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-invalid-token-test-kserve-router-scheduler-55fc95f97c from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:50 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-invalid-token-test-kserve-686cc8ccdc from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/auth-invalid-token-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-invalid-token-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-invalid-token-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/auth-invalid-token-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-invalid-token-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/auth-invalid-token-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/auth-invalid-token-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-invalid-token-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-invalid-token-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/auth-invalid-token-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/auth-invalid-token-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/auth-invalid-token-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:51 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [auth-invalid-token-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:52 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-invalid-token-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/custom-route-timeout-test-kserve-864979d845-rg778 to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:16 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.39/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:16 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:16 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:16 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:20 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:20 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:20 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:06 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.39:8000/health": dial tcp 10.134.0.39:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: custom-route-timeout-test-kserve-864979d845-rg778 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: custom-route-timeout-test-kserve-router-scheduler-778d465brn76d [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/custom-route-timeout-test-kserve-router-scheduler-778d465brn76d to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:16 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.39/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:16 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:16 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:16 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:17 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:17 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:17 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set custom-route-timeout-test-kserve-router-scheduler-778d465b5b from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set custom-route-timeout-test-kserve-864979d845 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy custom-route-timeout-test-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/custom-route-timeout-test-kserve-route: HTTPRoute.gateway.networking.k8s.io "custom-route-timeout-test-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/custom-route-timeout-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/custom-route-timeout-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/custom-route-timeout-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/custom-route-timeout-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-custom-route-timeout-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/custom-route-timeout-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/custom-route-timeout-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/custom-route-timeout-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/custom-route-timeout-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/custom-route-timeout-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/custom-route-timeout-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/custom-route-timeout-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:50 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: gw-section-name-router-with-gat-2f0a622e-kserve-7c9c8cffc5mvc8s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve-7c9c8cffc5mvc8s to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:51 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.33/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:51 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:52 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" in 1.225s (1.225s including waiting). Image size: 98346788 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:52 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:52 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:58 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:50 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set gw-section-name-router-with-gat-2f0a622e-kserve-7c9c8cffc5 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/gw-sec0c69dceeb48768325d1a53a749e65786-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.HTTPRoute kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.DestinationRule kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:01 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: gw-section-name-router-with-gat-f1d92d0f-kserve-7bc8dd6c5btwgmp [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve-7bc8dd6c5btwgmp to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:02 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.41/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:02 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:02 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:02 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Warning FailedMount MountVolume.SetUp failed for volume "tls-certs" : secret "gw-sec2774c263d49959f50d9eebc552e13bf9-kserve-self-signed-certs" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:06 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:01 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set gw-section-name-router-with-gat-f1d92d0f-kserve-7bc8dd6c5b from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/gw-sec2774c263d49959f50d9eebc552e13bf9-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.HTTPRoute kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.DestinationRule kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-route-87882a8e-kserve-656d69b45fmlsj7 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve-656d69b45fmlsj7 to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.38/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:36 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:36 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:36 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:23:29 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.38:8000/health": dial tcp 10.134.0.38:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:31:49 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:06 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Readiness probe failed: Get "https://10.134.0.38:8000/health": context deadline exceeded [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-route-87882a8e-kserve-656d69b45f from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-fb-opt-125m-route-87882a8e-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-fb-opt-125m-route-87882a8e-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisva690bbc929faec8bc98c767f16c003c1-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test21fe6730fe484f3a92b1a16afe1bac8f-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvca690bbc929faec8bc98c767f16c003c1-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:46 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisva690bbc929faec8bc98c767f16c003c1-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:46 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:23:40 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-fb-opt-125m-route-87882a8e] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:31:49 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test21fe6730fe484f3a92b1a16afe1bac8f-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:45 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-66874c76d42rwrf [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-66874c76d42rwrf to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:46 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.37/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:46 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:46 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:46 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:06 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:45 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-66874c76d4 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:44 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv122f03714c5bdf915a2917fdf1262b98-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:20:04 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv122f03714c5bdf915a2917fdf1262b98-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:20:05 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-fb-opt-125m-route-e95b1dc1] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-855b7d474b-8hjhw to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.37/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:43 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:43 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:43 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:18:58 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.37:8000/health": dial tcp 10.134.0.37:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-855b7d474b-8hjhw [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-router-sche2449j to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.47/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:39 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:39 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:40 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:40 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:40 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-router-sche2449j [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-with-7ca60146-kserve-router-scheduler-76cdc676b7 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-with-7ca60146-kserve-855b7d474b from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:34 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-fb-opt-125m-with-7ca60146-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-fb-opt-125m-with-7ca60146-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv3e414c2ba058a022dfd694dbcbac5b51-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test5216bfd716f919dc046bc693ceb22e41-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:57 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv3e414c2ba058a022dfd694dbcbac5b51-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:08 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-fb-opt-125m-with-7ca60146] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve-5c54ddb98fcrnjb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve-5c54ddb98fcrnjb to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.35/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:49 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve-5c54ddb98f from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv08544b88a8d963ffd553cc1f3ed82d16-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test76d7f532acb694e4a7bcef75d32cd8a1-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc08544b88a8d963ffd553cc1f3ed82d16-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:12 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv08544b88a8d963ffd553cc1f3ed82d16-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:47 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-qwen2-5-0-5b-rout-4f8c0978] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test76d7f532acb694e4a7bcef75d32cd8a1-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve-5d8ffd58ddvv5px [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve-5d8ffd58ddvv5px to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.43/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:05 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve-5d8ffd58dd from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisvb11a9c9832b99b016bc8f8e0ea095712-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-testb7025ca4d8a6f8f5b2fd08b5581d2678-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvcb11a9c9832b99b016bc8f8e0ea095712-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:31 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:31 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisvb11a9c9832b99b016bc8f8e0ea095712-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:31 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:03 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-qwen2-5-0-5b-rout-a50492e9] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:05 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-testb7025ca4d8a6f8f5b2fd08b5581d2678-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-bd545d56-nmndd to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.45/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:08 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-router-managed-test-llm-4b931143-kserve-bd545d56-nmndd [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-router-managed-test-llm-4b931143-kserve-bd545d56 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-router-managed-test-llm-4b931143-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-router-managed-test-llm-4b931143-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisvca2d2d7d499abb359505529ebe02c136-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test8ac8e3d2264ccb939eb021b0b835847c-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:18 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisvca2d2d7d499abb359505529ebe02c136-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:18 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:39 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-router-managed-test-llm-4b931143] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:08 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test8ac8e3d2264ccb939eb021b0b835847c-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-router-managed-test-llm-5b1e8f15-kserve-64df7bddb4nzblz [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-64df7bddb4nzblz to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:29 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.31/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:29 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:29 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:29 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:25 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-router-managed-test-llm-5b1e8f15-kserve-64df7bddb4 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:23 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-router-managed-test-llm-5b1e8f15-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-router-managed-test-llm-5b1e8f15-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisve55ae740357a3a31a27cdb8b66ffe20f-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test7f54e84970003a6e7372bdbcb574f7ed-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:39 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisve55ae740357a3a31a27cdb8b66ffe20f-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:01 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-router-managed-test-llm-5b1e8f15] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test7f54e84970003a6e7372bdbcb574f7ed-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-router-managed-test-llm-e45d1f79-kserve-7fdbbd4879d6nsg [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-7fdbbd4879d6nsg to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.29/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:52 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-router-managed-test-llm-e45d1f79-kserve-7fdbbd4879 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-router-managed-test-llm-e45d1f79-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-router-managed-test-llm-e45d1f79-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv5c7e67b6c51568d1d6d13829a9337f2a-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-testef4d2875be14b30dc1561ed84d0d4bde-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc5c7e67b6c51568d1d6d13829a9337f2a-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv5c7e67b6c51568d1d6d13829a9337f2a-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:52 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-router-managed-test-llm-e45d1f79] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:52 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-testef4d2875be14b30dc1561ed84d0d4bde-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc08544b88a8d963ffd553cc1f3ed82d16-kserve-router-schez7qcx [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc08544b88a8d963ffd553cc1f3ed82d16-kserve-router-scheduler-6fcb489785 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc08544b88a8d963ffd553cc1f3ed82d16-kserve-router-schez7qcx to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.46/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:03 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:03 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:49 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:49 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc5c7e67b6c51568d1d6d13829a9337f2a-kserve-router-schejbsn9 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc5c7e67b6c51568d1d6d13829a9337f2a-kserve-router-scheduler-5dd88bfbb7 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc5c7e67b6c51568d1d6d13829a9337f2a-kserve-router-schejbsn9 to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.30/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:20 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:20 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:52 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:52 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvca690bbc929faec8bc98c767f16c003c1-kserve-router-sche4mmnh to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:30 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.38/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:30 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:30 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:30 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:31 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:31 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:31 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:31:49 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:31:49 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvca690bbc929faec8bc98c767f16c003c1-kserve-router-sche4mmnh [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvca690bbc929faec8bc98c767f16c003c1-kserve-router-scheduler-6d6ccfd7bf from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvcb11a9c9832b99b016bc8f8e0ea095712-kserve-router-schefwv9g [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvcb11a9c9832b99b016bc8f8e0ea095712-kserve-router-scheduler-6d86bd4d9d from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvcb11a9c9832b99b016bc8f8e0ea095712-kserve-router-schefwv9g to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:25 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.44/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:25 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:25 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:25 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:05 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:05 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-schepv8bq [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-scheduler-68cc9685d6 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-schepv8bq to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.34/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:07 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:07 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:07 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:08 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:09 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-schegq6m5 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-scheduler-749449dbc8 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-schegq6m5 to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:29 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.32/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:29 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:29 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:29 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:25 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:25 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/precise-prefix-cache-test-kserve-7cccfc8969-5jsv7 to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.40/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:45 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:47 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" in 1.17s (1.17s including waiting). Image size: 98346788 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:47 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:47 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:53 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/precise-prefix-cache-test-kserve-7cccfc8969-hgnwf to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.27/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulling Pulling image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:45 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Successfully pulled image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" in 3.856s (3.856s including waiting). Image size: 301881278 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:45 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:45 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:50 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:52 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" in 1.366s (1.366s including waiting). Image size: 98346788 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:52 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:52 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:53 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: precise-prefix-cache-test-kserve-7cccfc8969-5jsv7 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: precise-prefix-cache-test-kserve-7cccfc8969-hgnwf [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: precise-prefix-cache-test-kserve-router-scheduler-574f7b5bkxs85 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/precise-prefix-cache-test-kserve-router-scheduler-574f7b5bkxs85 to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:42 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.28/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:42 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulling Pulling image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:45 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Successfully pulled image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" in 3.25s (3.25s including waiting). Image size: 301881278 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:45 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:45 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:46 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:48 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" in 1.812s (1.812s including waiting). Image size: 75073927 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:21 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:21 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:48 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-uds-tokenizer:vllm-v0.19.1" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:20 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-uds-tokenizer:vllm-v0.19.1" in 31.967s (31.967s including waiting). Image size: 2989890188 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:20 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: tokenizer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:20 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container tokenizer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:21 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:43 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Warning Unhealthy Liveness probe failed: timeout: failed to connect service "10.133.0.28:9003" within 1s: context deadline exceeded [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:53 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container tokenizer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:53 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:53 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set precise-prefix-cache-test-kserve-router-scheduler-574f7b5bf from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set precise-prefix-cache-test-kserve-7cccfc8969 from 0 to 2 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:37 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy precise-prefix-cache-test-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/precise-prefix-cache-test-kserve-route: HTTPRoute.gateway.networking.k8s.io "precise-prefix-cache-test-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:40 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/precise-prefix-cache-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/precise-prefix-cache-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/precise-prefix-cache-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/precise-prefix-cache-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-precise-prefix-cache-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/precise-prefix-cache-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/precise-prefix-cache-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/precise-prefix-cache-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/precise-prefix-cache-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:56 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/precise-prefix-cache-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:55 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/precise-prefix-cache-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:56 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/precise-prefix-cache-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:52 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [precise-prefix-cache-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:53 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test-precise-prefix-cache-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-1-openshift-default-857cf9f944-p7rxk to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:32 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.32/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:20:19 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:20:19 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:20:19 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:20:05 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning BackOff Back-off restarting failed container istio-proxy in pod router-gateway-1-openshift-default-857cf9f944-p7rxk_kserve-ci-e2e-test(70147199-b9b1-413d-838d-76f6d8f9b3e2) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:20:25 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "http://10.134.0.32:15021/healthz/ready": dial tcp 10.134.0.32:15021: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:32 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-1-openshift-default-857cf9f944-p7rxk [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:32 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-gateway-1-openshift-default-857cf9f944 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:32 kserve-ci-e2e-test service-controller Normal EnsuringLoadBalancer Ensuring load balancer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:35 kserve-ci-e2e-test service-controller Normal EnsuredLoadBalancer Ensured load balancer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:41 kserve-ci-e2e-test gateway_labeler_controller Normal AddedLabel Added label istio.io/rev=openshift-gateway to gateway router-gateway-1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:148 ### Pod llmisvc-model-fb-opt-125m-with-7ca60146-kserve-855b7d474b-8hjhw (phase=Running) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:188 #### init-container 'storage-initializer' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:201 # -- logs (current) -- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:202 2026-07-07 15:17:38.955 1 storage.initializer INFO [initializer-entrypoint:():17] Initializing, args: (src_uri, dest_path): [('hf://facebook/opt-125m', '/mnt/models'), ('hf://edbeeching/opt-125m-lora', '/mnt/lora/lora-adapter-1')] [e2e-llm-inference-service] 2026-07-07 15:17:38.955 1 storage.initializer INFO [kserve_storage.py:download():166] Copying contents of hf://facebook/opt-125m to local [e2e-llm-inference-service] 2026-07-07 15:17:42.792 1 storage.initializer INFO [kserve_storage.py:download():234] Successfully copied hf://facebook/opt-125m to /mnt/models [e2e-llm-inference-service] 2026-07-07 15:17:42.793 1 storage.initializer INFO [kserve_storage.py:download():235] Model downloaded in 3.837262684000052 seconds. [e2e-llm-inference-service] 2026-07-07 15:17:42.793 1 storage.initializer INFO [kserve_storage.py:download():166] Copying contents of hf://edbeeching/opt-125m-lora to local [e2e-llm-inference-service] 2026-07-07 15:17:43.103 1 storage.initializer INFO [kserve_storage.py:download():234] Successfully copied hf://edbeeching/opt-125m-lora to /mnt/lora/lora-adapter-1 [e2e-llm-inference-service] 2026-07-07 15:17:43.104 1 storage.initializer INFO [kserve_storage.py:download():235] Model downloaded in 0.3109348759999193 seconds. [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:188 #### container 'main' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:201 # -- logs (current) -- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:202 (APIServer pid=1) DEBUG 07-07 15:31:28 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:31:29 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:31:30 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:31:31 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:31:32 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:31:33 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:31:33 [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 07-07 15:31:34 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:31:35 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:31:36 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:31:37 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:31:38 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:31:38 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:31:39 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:31:40 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:31:41 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:31:42 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:31:43 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:31:43 [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 07-07 15:31:44 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:31:45 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:31:46 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:31:47 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:31:48 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:31:48 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:31:49 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:31:50 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:31:51 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:31:52 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:31:53 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:31:53 [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 07-07 15:31:54 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:31:55 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:31:56 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:31:57 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:31:58 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:31:58 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:31:59 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:00 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:01 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:02 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:03 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:03 [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 07-07 15:32:04 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:05 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:06 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:07 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:08 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:08 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:09 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:10 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:11 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:12 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:13 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:13 [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 07-07 15:32:14 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:15 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:16 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:17 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:18 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:18 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:19 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:20 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:21 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:22 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:23 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:23 [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 07-07 15:32:24 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:25 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:26 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:27 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:28 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:28 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:29 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:30 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:31 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:32 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:33 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:33 [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 07-07 15:32:34 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:35 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:36 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:37 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:38 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:38 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:39 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:40 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:41 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:42 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:43 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:43 [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 07-07 15:32:44 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:45 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:46 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:47 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:48 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:48 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:49 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:50 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:51 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:52 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:53 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:53 [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 07-07 15:32:54 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:55 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:56 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:57 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:58 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:58 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:32:59 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:00 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:01 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:02 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:03 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:03 [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 07-07 15:33:04 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:05 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:06 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:07 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:08 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:08 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:09 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:10 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:11 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:12 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:13 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:13 [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 07-07 15:33:14 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:15 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:16 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:17 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:18 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:18 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:19 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:20 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:21 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:22 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:23 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:23 [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 07-07 15:33:24 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:25 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:26 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:27 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:28 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:28 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:29 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:30 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:31 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:32 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:33 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:33 [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 07-07 15:33:34 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:35 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:36 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:37 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:38 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:38 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:39 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:40 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:41 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:42 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:43 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:43 [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 07-07 15:33:44 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:45 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:46 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:47 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:48 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:48 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:49 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:50 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:51 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:52 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:53 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:53 [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 07-07 15:33:54 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:55 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:56 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:57 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:58 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:58 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:33:59 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:34:00 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:34:01 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:34:02 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:34:03 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:34:03 [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 07-07 15:34:04 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:34:05 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:34:06 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:34:07 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:34:08 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:34:08 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:34:09 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:34:10 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:34:11 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:34:12 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:34:13 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:34:13 [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 07-07 15:34:14 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:148 ### Pod llmisvc-model-fb-opt-125m-with-7ca60146-kserve-router-sche2449j (phase=Running) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:188 #### init-container 'storage-initializer' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:201 # -- logs (current) -- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:202 2026-07-07 15:17:39.275 1 storage.initializer INFO [initializer-entrypoint:():17] Initializing, args: (src_uri, dest_path): [('hf://facebook/opt-125m', '/mnt/models')] [e2e-llm-inference-service] 2026-07-07 15:17:39.275 1 storage.initializer INFO [kserve_storage.py:download():166] Copying contents of hf://facebook/opt-125m to local [e2e-llm-inference-service] 2026-07-07 15:17:39.276 1 storage.initializer INFO [kserve_storage.py:download():169] Allow patterns: ['tokenizer.json', 'tokenizer_config.json', 'special_tokens_map.json', 'vocab.json', 'merges.txt', 'config.json', 'generation_config.json'] [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/8_PA_wEVGiVa2goH2H4KQOQpvVY=.b3fb716a3024261980becb2382e31a3780985130.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_8fc13e9f-f1e1-4c71-b715-e22faee27b97'. [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_3cc9fa50-752d-456b-8026-9f585422eec8'. [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_831cb7e2-092a-4861-a6e5-fd87a8cb9b82'. [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_dc9d837a-86c5-44fb-8f0e-261323778c55'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/vzaExXFZNBay89bvlQv-ZcI6BTg=.27c24ca9d908d0b678b20c698aeb9e950c44d865.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_6e1377e2-3bac-4889-bf8e-da27281f343e'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/j3m-Hy6QvBddw8RXA1uSWl1AJ0c=.0a39732b2d8be8e493cab3da68b68cc3e28221de.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_cf1fb1da-af12-4788-87ca-8e60f7c62f61'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] 2026-07-07 15:17:39.686 1 storage.initializer INFO [kserve_storage.py:download():234] Successfully copied hf://facebook/opt-125m to /mnt/models [e2e-llm-inference-service] 2026-07-07 15:17:39.686 1 storage.initializer INFO [kserve_storage.py:download():235] Model downloaded in 0.4108685989999685 seconds. [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:188 #### container 'main' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:201 # -- logs (current) -- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:202 {"level":"info","ts":1783437460.4008768,"logger":"setup","caller":"runner/runner.go:196","msg":"GIE build","commit-sha":"181aa8358916e19b8844ccc752b2d6153d4b2ad6","build-ref":"v0.9.0-rc.2"} [e2e-llm-inference-service] Flag --model-server-metrics-scheme has been deprecated, This flag is deprecated. Configure via EndpointPickerConfig data layer plugin parameters instead. [e2e-llm-inference-service] {"level":"info","ts":1783437460.4018219,"logger":"setup","caller":"runner/runner.go:217","msg":"Flags processed","flags":{"cert-path":"/var/run/kserve/tls","config-file":"","config-text":"apiVersion: inference.networking.x-k8s.io/v1alpha1\nkind: EndpointPickerConfig\nplugins:\n- type: single-profile-handler\n- type: queue-scorer\n- type: prefix-cache-scorer\n- type: max-score-picker\n- type: lora-affinity-scorer\nschedulingProfiles:\n- name: default\n plugins:\n - pluginRef: lora-affinity-scorer\n weight: 4\n - pluginRef: queue-scorer\n weight: 2\n - pluginRef: prefix-cache-scorer\n weight: 3\n - pluginRef: max-score-picker\n","disable-endpoint-subset-filter":false,"enable-cert-reload":true,"enable-grpc-stream-metrics":false,"enable-pprof":true,"endpoint-selector":"","endpoint-target-ports":{},"grpc-health-port":9003,"grpc-max-recv-msg-size":"","grpc-max-send-msg-size":"","grpc-port":9002,"ha-enable-leader-election":false,"health-checking":false,"metrics-endpoint-auth":true,"metrics-port":9090,"metrics-staleness-threshold":2000000000,"model-server-metrics-https-insecure-skip-verify":true,"model-server-metrics-path":"/metrics","model-server-metrics-port":0,"model-server-metrics-scheme":"https","pool-group":"inference.networking.k8s.io","pool-name":"llmisvc-model-fb-opt-125m-with-7ca60146-inference-pool","pool-namespace":"kserve-ci-e2e-test","refresh-metrics-interval":50000000,"refresh-prometheus-metrics-interval":5000000000,"secure-serving":true,"tracing":true,"v":2,"zap-devel":{},"zap-encoder":{},"zap-log-level":{},"zap-stacktrace-level":{},"zap-time-encoding":{}}} [e2e-llm-inference-service] {"level":"info","ts":1783437460.4019852,"logger":"setup.trace","caller":"tracing/telemetry.go:123","msg":"init OTel trace exporter","type":"console"} [e2e-llm-inference-service] {"level":"info","ts":1783437460.4024768,"caller":"loader/configloader.go:89","msg":"DEPRECATION: apiVersion inference.networking.x-k8s.io/v1alpha1/EndpointPickerConfig is deprecated","replacement":"llm-d.ai/v1alpha1/EndpointPickerConfig"} [e2e-llm-inference-service] {"level":"info","ts":1783437460.4025297,"caller":"loader/configloader.go:121","msg":"Loaded raw configuration","config":"{Plugins: [{Type: single-profile-handler} {Type: queue-scorer} {Type: prefix-cache-scorer} {Type: max-score-picker} {Type: lora-affinity-scorer}], SchedulingProfiles: [{Name: default, Plugins: [{PluginRef: lora-affinity-scorer, Weight: 4.00} {PluginRef: queue-scorer, Weight: 2.00} {PluginRef: prefix-cache-scorer, Weight: 3.00} {PluginRef: max-score-picker}]}]}"} [e2e-llm-inference-service] {"level":"info","ts":1783437460.4025428,"logger":"setup","caller":"runner/runner.go:622","msg":"Data layer: ENABLED"} [e2e-llm-inference-service] {"level":"info","ts":1783437460.4028177,"logger":"setup","caller":"runner/runner.go:281","msg":"Raw config after phase one","config":{"apiVersion":"inference.networking.x-k8s.io/v1alpha1","dataLayer":null,"kind":"EndpointPickerConfig","plugins":[{"name":"single-profile-handler","parameters":null,"type":"single-profile-handler"},{"name":"queue-scorer","parameters":null,"type":"queue-scorer"},{"name":"prefix-cache-scorer","parameters":null,"type":"prefix-cache-scorer"},{"name":"max-score-picker","parameters":null,"type":"max-score-picker"},{"name":"lora-affinity-scorer","parameters":null,"type":"lora-affinity-scorer"}],"schedulingProfiles":[{"name":"default","plugins":[{"pluginRef":"lora-affinity-scorer","weight":4},{"pluginRef":"queue-scorer","weight":2},{"pluginRef":"prefix-cache-scorer","weight":3},{"pluginRef":"max-score-picker","weight":null}]}]}} [e2e-llm-inference-service] {"level":"info","ts":1783437460.4313226,"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":1783437460.4314249,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"vllm","mapping":"Mapping{all specs enabled}"} [e2e-llm-inference-service] {"level":"info","ts":1783437460.431476,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"sglang","mapping":"Mapping{disabled: [lora]}"} [e2e-llm-inference-service] {"level":"info","ts":1783437460.4315453,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"trtllm-serve","mapping":"Mapping{disabled: [lora, cacheInfo]}"} [e2e-llm-inference-service] {"level":"info","ts":1783437460.4316373,"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":1783437460.4316702,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"triton","mapping":"Mapping{disabled: [kv, lora, cacheInfo]}"} [e2e-llm-inference-service] {"level":"info","ts":1783437460.4317408,"caller":"loader/configloader.go:154","msg":"Instantiated all plugins and applied system defaults. Effective raw configuration","config":"{Plugins: [{Name: single-profile-handler, Type: single-profile-handler} {Name: queue-scorer, Type: queue-scorer} {Name: prefix-cache-scorer, Type: prefix-cache-scorer} {Name: max-score-picker, Type: max-score-picker} {Name: lora-affinity-scorer, Type: lora-affinity-scorer} {Name: fcfs-ordering-policy, Type: fcfs-ordering-policy} {Name: global-strict-fairness-policy, Type: global-strict-fairness-policy} {Name: static-usage-limit-policy, Type: static-usage-limit-policy} {Name: openai-parser, Type: openai-parser} {Name: anthropic-parser, Type: anthropic-parser} {Name: vllmhttp-parser, Type: vllmhttp-parser} {Name: utilization-detector, Type: utilization-detector} {Name: metrics-data-source, Type: metrics-data-source} {Name: core-metrics-extractor, Type: core-metrics-extractor}], SchedulingProfiles: [{Name: default, Plugins: [{PluginRef: lora-affinity-scorer, Weight: 4.00} {PluginRef: queue-scorer, Weight: 2.00} {PluginRef: prefix-cache-scorer, Weight: 3.00} {PluginRef: max-score-picker}]}], DataLayer: {Sources: [{PluginRef: metrics-data-source, Extractors: [{PluginRef: core-metrics-extractor}]}], Discovery: }, FlowControl: {MaxBytes: unlimited, MaxRequests: unlimited, SaturationDetector: {PluginRef: utilization-detector}}, RequestHandler: {Parsers: [{PluginRef: openai-parser}, {PluginRef: anthropic-parser}, {PluginRef: vllmhttp-parser}]}}"} [e2e-llm-inference-service] {"level":"info","ts":1783437460.4318087,"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":1783437460.4318848,"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":1783437460.4319153,"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":1783437460.4319515,"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":1783437460.4320476,"caller":"runner/runner.go:685","msg":"loaded configuration from file/text successfully"} [e2e-llm-inference-service] {"level":"info","ts":1783437460.4320602,"logger":"setup","caller":"runner/runner.go:308","msg":"EPP config after phase two","config":"{SchedulerConfig:{ProfileHandler: single-profile-handler/single-profile-handler, Profiles: map[default:{Filters: [], Scorers: [lora-affinity-scorer/lora-affinity-scorer: 4.000000, queue-scorer/queue-scorer: 2.000000, prefix-cache-scorer/prefix-cache-scorer: 3.000000], Picker: max-score-picker/max-score-picker}]} SaturationDetector:0xc0007efc80 DataConfig:{Sources:[{Plugin:0xc0001a30e0 Extractors:[0xc0007efe80]}]} FlowControlConfig: ParserRegistry:0xc000a105c0}"} [e2e-llm-inference-service] {"level":"info","ts":1783437460.4522996,"logger":"setup","caller":"runner/runner.go:352","msg":"Setting pprof handlers"} [e2e-llm-inference-service] {"level":"info","ts":1783437460.4523323,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/allocs"} [e2e-llm-inference-service] {"level":"info","ts":1783437460.452352,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/threadcreate"} [e2e-llm-inference-service] {"level":"info","ts":1783437460.4523597,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/"} [e2e-llm-inference-service] {"level":"info","ts":1783437460.4523659,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/heap"} [e2e-llm-inference-service] {"level":"info","ts":1783437460.4523723,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/block"} [e2e-llm-inference-service] {"level":"info","ts":1783437460.4523785,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/mutex"} [e2e-llm-inference-service] {"level":"info","ts":1783437460.452385,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/cmdline"} [e2e-llm-inference-service] {"level":"info","ts":1783437460.4523938,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/profile"} [e2e-llm-inference-service] {"level":"info","ts":1783437460.452404,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/symbol"} [e2e-llm-inference-service] {"level":"info","ts":1783437460.4524126,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/trace"} [e2e-llm-inference-service] {"level":"info","ts":1783437460.452421,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/goroutine"} [e2e-llm-inference-service] {"level":"info","ts":1783437460.4524403,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/plugins/state"} [e2e-llm-inference-service] {"level":"info","ts":1783437460.4524496,"logger":"setup","caller":"runner/runner.go:373","msg":"parsed config","scheduler-config":"{ProfileHandler: single-profile-handler/single-profile-handler, Profiles: map[default:{Filters: [], Scorers: [lora-affinity-scorer/lora-affinity-scorer: 4.000000, queue-scorer/queue-scorer: 2.000000, prefix-cache-scorer/prefix-cache-scorer: 3.000000], Picker: max-score-picker/max-score-picker}]}"} [e2e-llm-inference-service] {"level":"info","ts":1783437460.4524858,"logger":"setup","caller":"datalayer/runtime.go:99","msg":"Configuring datalayer runtime","numSources":1} [e2e-llm-inference-service] {"level":"info","ts":1783437460.4524992,"logger":"setup","caller":"datalayer/runtime.go:118","msg":"Processing source","source":"metrics-data-source","numExtractors":1} [e2e-llm-inference-service] {"level":"info","ts":1783437460.4525356,"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":1783437460.452557,"logger":"setup","caller":"datalayer/runtime.go:206","msg":"Datalayer runtime configured","pollers":1,"notifiers":0,"endpointSources":0} [e2e-llm-inference-service] {"level":"info","ts":1783437460.4525776,"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":1783437460.4526856,"logger":"setup","caller":"runner/runner.go:721","msg":"ExtProc server runner added to manager."} [e2e-llm-inference-service] {"level":"info","ts":1783437460.4526982,"logger":"setup","caller":"runner/runner.go:260","msg":"Controller manager starting"} [e2e-llm-inference-service] {"level":"info","ts":1783437460.4527361,"logger":"controller-runtime.metrics","caller":"server/server.go:208","msg":"Starting metrics server"} [e2e-llm-inference-service] {"level":"info","ts":1783437460.453003,"caller":"runnable/grpc.go:35","msg":"gRPC server starting","name":"health"} [e2e-llm-inference-service] {"level":"info","ts":1783437460.453095,"caller":"runnable/grpc.go:43","msg":"gRPC server listening","name":"health","port":9003} [e2e-llm-inference-service] {"level":"info","ts":1783437460.4532647,"logger":"controller-runtime.metrics","caller":"server/server.go:247","msg":"Serving metrics server","bindAddress":":9090","secure":false} [e2e-llm-inference-service] {"level":"info","ts":1783437460.4537036,"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":1783437460.4539058,"caller":"controller/controller.go:370","msg":"Starting EventSource","controller":"inferenceobjective","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceObjective","source":"kind source: *v1alpha2.InferenceObjective"} [e2e-llm-inference-service] {"level":"info","ts":1783437460.4539337,"caller":"controller/controller.go:370","msg":"Starting EventSource","controller":"inferencemodelrewrite","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceModelRewrite","source":"kind source: *v1alpha2.InferenceModelRewrite"} [e2e-llm-inference-service] {"level":"info","ts":1783437460.4541273,"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":1783437460.4544106,"caller":"runnable/grpc.go:35","msg":"gRPC server starting","name":"ext-proc"} [e2e-llm-inference-service] {"level":"info","ts":1783437460.4545803,"caller":"runnable/grpc.go:43","msg":"gRPC server listening","name":"ext-proc","port":9002} [e2e-llm-inference-service] {"level":"info","ts":1783437460.4654243,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1alpha2.InferenceObjective","reflector":"pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1783437460.4655507,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1alpha2.InferenceModelRewrite","reflector":"pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1783437460.4658053,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1.InferencePool","reflector":"pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1783437460.4790194,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1.Pod","reflector":"pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1783437460.555395,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"inferencemodelrewrite","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceModelRewrite"} [e2e-llm-inference-service] {"level":"info","ts":1783437460.5554216,"caller":"controller/controller.go:306","msg":"Starting workers","controller":"inferencemodelrewrite","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceModelRewrite","worker count":1} [e2e-llm-inference-service] {"level":"info","ts":1783437460.5553887,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"inferenceobjective","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceObjective"} [e2e-llm-inference-service] {"level":"info","ts":1783437460.555833,"caller":"controller/controller.go:306","msg":"Starting workers","controller":"inferenceobjective","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceObjective","worker count":1} [e2e-llm-inference-service] {"level":"info","ts":1783437460.5556428,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"pod","controllerGroup":"","controllerKind":"Pod"} [e2e-llm-inference-service] {"level":"info","ts":1783437460.555913,"caller":"controller/controller.go:306","msg":"Starting workers","controller":"pod","controllerGroup":"","controllerKind":"Pod","worker count":1} [e2e-llm-inference-service] {"level":"info","ts":1783437460.6555588,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"inferencepool","controllerGroup":"inference.networking.k8s.io","controllerKind":"InferencePool"} [e2e-llm-inference-service] {"level":"info","ts":1783437460.6556008,"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":1783437460.6557474,"caller":"controller/inferencepool_reconciler.go:46","msg":"Reconciling InferencePool","controller":"inferencepool","controllerGroup":"inference.networking.k8s.io","controllerKind":"InferencePool","InferencePool":{"name":"llmisvc-model-fb-opt-125m-with-7ca60146-inference-pool","namespace":"kserve-ci-e2e-test"},"namespace":"kserve-ci-e2e-test","name":"llmisvc-model-fb-opt-125m-with-7ca60146-inference-pool","reconcileID":"3cfcc9bc-424e-410a-a490-09f5c735c5d6"} [e2e-llm-inference-service] {"level":"info","ts":1783437478.1509452,"caller":"controller/inferencepool_reconciler.go:46","msg":"Reconciling InferencePool","controller":"inferencepool","controllerGroup":"inference.networking.k8s.io","controllerKind":"InferencePool","InferencePool":{"name":"llmisvc-model-fb-opt-125m-with-7ca60146-inference-pool","namespace":"kserve-ci-e2e-test"},"namespace":"kserve-ci-e2e-test","name":"llmisvc-model-fb-opt-125m-with-7ca60146-inference-pool","reconcileID":"178b76c1-cbaf-463a-96df-995707387fdb"} [e2e-llm-inference-service] {"level":"info","ts":1783437548.5483427,"caller":"controller/pod_reconciler.go:99","msg":"Pod already exists","controller":"pod","controllerGroup":"","controllerKind":"Pod","Pod":{"name":"llmisvc-model-fb-opt-125m-with-7ca60146-kserve-855b7d474b-8hjhw","namespace":"kserve-ci-e2e-test"},"namespace":"kserve-ci-e2e-test","name":"llmisvc-model-fb-opt-125m-with-7ca60146-kserve-855b7d474b-8hjhw","reconcileID":"76e1bf58-1763-4ad0-9663-ffcaae08a927"} [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-epp-service [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 623dc303-1437-4880-ae62-9b26aa4bf37f [e2e-llm-inference-service] resourceVersion: '29623' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:17:38Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-7ca60146 [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: '2026-07-07T15:18:12Z' [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: '2026-07-07T15:18:12Z' [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: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: 10.132.0.47 [e2e-llm-inference-service] nodeName: ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-router-sche2449j [e2e-llm-inference-service] uid: 9ae96da2-9b07-456a-8d7a-dac03371455e [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] port: 9090 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] port: 5557 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] port: 9002 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Endpoints [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: e4465e70-fbc4-4097-a699-698cea4fe48a [e2e-llm-inference-service] resourceVersion: '30619' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:17:38Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-7ca60146 [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: '2026-07-07T15:19:08Z' [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: '2026-07-07T15:19:08Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/last-change-trigger-time: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/managed-by: {} [e2e-llm-inference-service] f:subsets: {} [e2e-llm-inference-service] subsets: [e2e-llm-inference-service] - addresses: [e2e-llm-inference-service] - ip: 10.134.0.37 [e2e-llm-inference-service] nodeName: ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-855b7d474b-8hjhw [e2e-llm-inference-service] uid: 378089fd-c65c-4c08-bc64-ff52a7515a39 [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: https [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] appProtocol: https [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Endpoints [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-855b7d474b-8hjhw [e2e-llm-inference-service] generateName: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-855b7d474b- [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 378089fd-c65c-4c08-bc64-ff52a7515a39 [e2e-llm-inference-service] resourceVersion: '30616' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:17:38Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-7ca60146 [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: 855b7d474b [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] k8s.ovn.org/pod-networks: '{"default":{"ip_addresses":["10.134.0.37/23"],"mac_address":"0a:58:0a:86:00:25","gateway_ips":["10.134.0.1"],"routes":[{"dest":"10.132.0.0/14","nextHop":"10.134.0.1"},{"dest":"172.31.0.0/16","nextHop":"10.134.0.1"},{"dest":"169.254.0.5/32","nextHop":"10.134.0.1"},{"dest":"100.64.0.0/16","nextHop":"10.134.0.1"}],"ip_address":"10.134.0.37/23","gateway_ip":"10.134.0.1","role":"primary"}}' [e2e-llm-inference-service] k8s.v1.cni.cncf.io/network-status: "[{\n \"name\": \"ovn-kubernetes\",\n \ [e2e-llm-inference-service] \ \"interface\": \"eth0\",\n \"ips\": [\n \"10.134.0.37\"\n ],\n\ [e2e-llm-inference-service] \ \"mac\": \"0a:58:0a:86:00:25\",\n \"default\": true,\n \"dns\": {}\n\ [e2e-llm-inference-service] }]" [e2e-llm-inference-service] openshift.io/scc: restricted-v2 [e2e-llm-inference-service] seccomp.security.alpha.kubernetes.io/pod: runtime/default [e2e-llm-inference-service] security.openshift.io/validated-scc-subject-type: user [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: apps/v1 [e2e-llm-inference-service] kind: ReplicaSet [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-855b7d474b [e2e-llm-inference-service] uid: 6b01488c-247f-4e18-b514-a7e83d804051 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: ip-10-0-138-195 [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-07T15:17:38Z' [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] 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: '2026-07-07T15:17:38Z' [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":"6b01488c-247f-4e18-b514-a7e83d804051"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_CACHE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HOME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"TORCHINDUCTOR_CACHE_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"USER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_CPU_KVCACHE_SPACE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_ENABLE_V1_MULTIPROCESSING"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_LOGGING_LEVEL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:startupProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/dev/shm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] k:{"mountPath":"/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:enableServiceLinks: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"CA_BUNDLE_CONFIGMAP_NAME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"CA_BUNDLE_VOLUME_MOUNT_POINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/etc/ssl/custom-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"cabundle-cert"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:configMap: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"dshm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:medium: {} [e2e-llm-inference-service] f:sizeLimit: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"model-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tmp-dir"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: multus-daemon [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-07T15:17:38Z' [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] 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: '2026-07-07T15:19:08Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] k:{"type":"ContainersReady"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Initialized"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"PodReadyToStartContainers"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"PodScheduled"}: [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] k:{"type":"Ready"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:containerStatuses: {} [e2e-llm-inference-service] f:hostIP: {} [e2e-llm-inference-service] f:hostIPs: {} [e2e-llm-inference-service] f:initContainerStatuses: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:phase: {} [e2e-llm-inference-service] f:podIP: {} [e2e-llm-inference-service] f:podIPs: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"ip":"10.134.0.37"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:ip: {} [e2e-llm-inference-service] f:startTime: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: 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: llmisv3e414c2ba058a022dfd694dbcbac5b51-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: cabundle-cert [e2e-llm-inference-service] configMap: [e2e-llm-inference-service] name: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: kube-api-access-6j8lf [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@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] - hf://edbeeching/opt-125m-lora [e2e-llm-inference-service] - /mnt/lora/lora-adapter-1 [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] - name: CA_BUNDLE_CONFIGMAP_NAME [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: CA_BUNDLE_VOLUME_MOUNT_POINT [e2e-llm-inference-service] value: /etc/ssl/custom-certs [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt [e2e-llm-inference-service] - name: cabundle-cert [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /etc/ssl/custom-certs [e2e-llm-inference-service] - name: kube-api-access-6j8lf [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: 1000700000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/bash [e2e-llm-inference-service] - -c [e2e-llm-inference-service] - "if [ -f /etc/profile.d/ibm-aiu-setup.sh ]; then\n source /etc/profile.d/ibm-aiu-setup.sh\n\ [e2e-llm-inference-service] fi\n\nif [ \"$KSERVE_INFER_ROCE\" = \"true\" ]; then\n echo \"Trying to infer\ [e2e-llm-inference-service] \ RoCE configs ... \"\n grep -H . /sys/class/infiniband/*/ports/*/gids/* 2>/dev/null\n\ [e2e-llm-inference-service] \ grep -H . /sys/class/infiniband/*/ports/*/gid_attrs/types/* 2>/dev/null\n\ [e2e-llm-inference-service] \n cat /proc/driver/nvidia/params\n\n KSERVE_INFER_IB_GID_INDEX_GREP=${KSERVE_INFER_IB_GID_INDEX_GREP:-\"\ [e2e-llm-inference-service] RoCE v2\"}\n\n echo \"[Infer RoCE] Discovering active HCAs ...\"\n active_hcas=()\n\ [e2e-llm-inference-service] \ # Loop through all mlx5 devices found in sysfs\n for hca_dir in /sys/class/infiniband/mlx5_*;\ [e2e-llm-inference-service] \ do\n # Ensure it's a directory before proceeding\n if [ -d \"$hca_dir\"\ [e2e-llm-inference-service] \ ]; then\n hca_name=$(basename \"$hca_dir\")\n port_state_file=\"\ [e2e-llm-inference-service] $hca_dir/ports/1/state\" # Assume port 1\n type_file=\"$hca_dir/ports/1/gid_attrs/types/*\"\ [e2e-llm-inference-service] \n\n echo \"[Infer RoCE] Check if the port state file ${port_state_file}\ [e2e-llm-inference-service] \ exists and contains 'ACTIVE'\"\n if [ -f \"$port_state_file\" ] &&\ [e2e-llm-inference-service] \ grep -q \"ACTIVE\" \"$port_state_file\" && grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\"\ [e2e-llm-inference-service] \ ${type_file} 2>/dev/null; then\n echo \"[Infer RoCE] Found active\ [e2e-llm-inference-service] \ HCA: $hca_name\"\n active_hcas+=(\"$hca_name\")\n else\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Skipping inactive or down HCA: $hca_name\"\ [e2e-llm-inference-service] \n fi\n fi\n done\n\n # Check if we found any active HCAs\n\ [e2e-llm-inference-service] \ if [ ${#active_hcas[@]} -gt 0 ]; then\n # Join the array elements with\ [e2e-llm-inference-service] \ a comma\n hca_port_pairs=()\n for hca in \"${active_hcas[@]}\";\ [e2e-llm-inference-service] \ do\n hca_port_pairs+=(\"${hca}:1\")\n done\n\n active_hca_list=$(IFS=,;\ [e2e-llm-inference-service] \ echo \"${active_hcas[*]}\")\n hca_port_pairs_list=$(IFS=,; echo \"${hca_port_pairs[*]}\"\ [e2e-llm-inference-service] )\n echo \"[Infer RoCE] Setting active HCAs: ${active_hca_list}\"\n \ [e2e-llm-inference-service] \ export NCCL_IB_HCA=${NCCL_IB_HCA:-${active_hca_list}}\n export NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST:-${hca_port_pairs_list}}\n\ [e2e-llm-inference-service] \ export UCX_NET_DEVICES=${UCX_NET_DEVICES:-${hca_port_pairs_list}}\n\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] NCCL_IB_HCA=${NCCL_IB_HCA}\"\n echo \"[Infer\ [e2e-llm-inference-service] \ RoCE] NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST}\"\n echo \"[Infer RoCE] UCX_NET_DEVICES=${UCX_NET_DEVICES}\"\ [e2e-llm-inference-service] \n else\n echo \"[Infer RoCE] WARNING: No active RoCE HCAs found. NCCL_IB_HCA\ [e2e-llm-inference-service] \ will not be set.\"\n fi\n\n if [ ${#active_hcas[@]} -gt 0 ]; then\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Finding GID_INDEX for each active HCA (SR-IOV compatible)...\"\ [e2e-llm-inference-service] \n\n # For SR-IOV environments, find the most common IPv4 RoCE v2 GID index\ [e2e-llm-inference-service] \ across all HCAs\n declare -A gid_index_count\n declare -A hca_gid_index\n\ [e2e-llm-inference-service] \n for hca_name in \"${active_hcas[@]}\"; do\n echo \"[Infer RoCE]\ [e2e-llm-inference-service] \ Processing HCA: ${hca_name}\"\n\n # Find all RoCE v2 IPv4 GIDs for\ [e2e-llm-inference-service] \ this HCA and count by index\n for tpath in /sys/class/infiniband/${hca_name}/ports/1/gid_attrs/types/*;\ [e2e-llm-inference-service] \ do\n if grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\" \"$tpath\"\ [e2e-llm-inference-service] \ 2>/dev/null; then\n idx=$(basename \"$tpath\")\n \ [e2e-llm-inference-service] \ gid_file=\"/sys/class/infiniband/${hca_name}/ports/1/gids/${idx}\"\ [e2e-llm-inference-service] \n # Check for IPv4 GID (contains ffff:)\n \ [e2e-llm-inference-service] \ if [ -f \"$gid_file\" ] && grep -q \"ffff:\" \"$gid_file\"; then\n \ [e2e-llm-inference-service] \ gid_value=$(cat \"$gid_file\" 2>/dev/null || echo \"\")\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Found IPv4 RoCE v2 GID for ${hca_name}:\ [e2e-llm-inference-service] \ index=${idx}, gid=${gid_value}\"\n hca_gid_index[\"${hca_name}\"\ [e2e-llm-inference-service] ]=\"${idx}\"\n gid_index_count[\"${idx}\"]=$((${gid_index_count[\"\ [e2e-llm-inference-service] ${idx}\"]} + 1))\n break # Use first found IPv4 GID per\ [e2e-llm-inference-service] \ HCA\n fi\n fi\n done\n done\n\n\ [e2e-llm-inference-service] \ # Find the most common GID index (most likely to be consistent across\ [e2e-llm-inference-service] \ nodes)\n best_gid_index=\"\"\n max_count=0\n for idx in \"\ [e2e-llm-inference-service] ${!gid_index_count[@]}\"; do\n count=${gid_index_count[\"${idx}\"]}\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] GID_INDEX ${idx} found on ${count} HCAs\"\n \ [e2e-llm-inference-service] \ if [ $count -gt $max_count ]; then\n max_count=$count\n\ [e2e-llm-inference-service] \ best_gid_index=\"$idx\"\n fi\n done\n\n #\ [e2e-llm-inference-service] \ Use deterministic fallback if tied - prefer index 3 (SR-IOV standard)\n \ [e2e-llm-inference-service] \ if [ ${#gid_index_count[@]} -gt 1 ]; then\n echo \"[Infer RoCE]\ [e2e-llm-inference-service] \ Multiple GID indices found, selecting most common: ${best_gid_index}\"\n \ [e2e-llm-inference-service] \ # If there's a tie, prefer index 3 as it's most common in SR-IOV setups\n\ [e2e-llm-inference-service] \ if [ -n \"${gid_index_count['3']}\" ] && [ \"${gid_index_count['3']}\"\ [e2e-llm-inference-service] \ -eq \"$max_count\" ]; then\n best_gid_index=\"3\"\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using deterministic fallback: GID_INDEX=3 (SR-IOV\ [e2e-llm-inference-service] \ standard)\"\n fi\n fi\n\n # Check if GID_INDEX is already\ [e2e-llm-inference-service] \ set via environment variables\n if [ -n \"${NCCL_IB_GID_INDEX}\" ]; then\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using pre-configured NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ from environment\"\n export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using pre-configured GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ for NCCL, NVSHMEM, and UCX\"\n elif [ -n \"$best_gid_index\" ]; then\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Selected GID_INDEX: ${best_gid_index} (found\ [e2e-llm-inference-service] \ on ${max_count} HCAs)\"\n\n export NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$best_gid_index}\n\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Exported GID_INDEX=${best_gid_index} for NCCL,\ [e2e-llm-inference-service] \ NVSHMEM, and UCX\"\n else\n echo \"[Infer RoCE] ERROR: No valid\ [e2e-llm-inference-service] \ IPv4 ${KSERVE_INFER_IB_GID_INDEX_GREP} GID_INDEX found on any HCA.\"\n \ [e2e-llm-inference-service] \ fi\n else\n echo \"[Infer RoCE] No active HCAs found, skipping GID_INDEX\ [e2e-llm-inference-service] \ inference.\"\n fi\nfi\n\n# --disable-access-log-for-endpoints landed in vLLM\ [e2e-llm-inference-service] \ 0.16.0 (vllm-project/vllm#30011).\n# Older versions still need the blanket\ [e2e-llm-inference-service] \ --disable-uvicorn-access-log.\nACCESS_LOG_ARGS=\"--disable-uvicorn-access-log\"\ [e2e-llm-inference-service] \nVLLM_VERSION=$(vllm --version 2>/dev/null | tail -1 | awk '{print $NF}')\n\ [e2e-llm-inference-service] echo \"[access-log-detect] vllm version='${VLLM_VERSION}'\"\nif [[ \"$VLLM_VERSION\"\ [e2e-llm-inference-service] \ =~ ^[0-9]+\\.[0-9]+ ]] && [ \"$(printf '%s\\n%s\\n' \"0.16.0\" \"${VLLM_VERSION}\"\ [e2e-llm-inference-service] \ | sort -V | head -1)\" = \"0.16.0\" ]; then\n ACCESS_LOG_ARGS=\"--disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ /health,/metrics,/ping\"\nfi\necho \"[access-log-detect] selected ACCESS_LOG_ARGS='${ACCESS_LOG_ARGS}'\"\ [e2e-llm-inference-service] \n\n# --shutdown-timeout landed in vLLM 0.18.0 (vllm-project/vllm#36666).\n\ [e2e-llm-inference-service] SHUTDOWN_TIMEOUT_ARGS=\"\"\nif [[ \"$VLLM_VERSION\" =~ ^[0-9]+\\.[0-9]+ ]] &&\ [e2e-llm-inference-service] \ [ \"$(printf '%s\\n%s\\n' \"0.18.0\" \"${VLLM_VERSION}\" | sort -V | head\ [e2e-llm-inference-service] \ -1)\" = \"0.18.0\" ]; then\n SHUTDOWN_TIMEOUT_ARGS=\"--shutdown-timeout 40\"\ [e2e-llm-inference-service] \nfi\n\neval \"exec vllm serve /mnt/models \\\n --served-model-name \"facebook/opt-125m\"\ [e2e-llm-inference-service] \ \"publishers/kserve-ci-e2e-test/models/facebook/opt-125m\" \\\n --port 8000\ [e2e-llm-inference-service] \ \\\n ${ACCESS_LOG_ARGS} \\\n ${SHUTDOWN_TIMEOUT_ARGS} \\\n --enable-ssl-refresh\ [e2e-llm-inference-service] \ \\\n --ssl-certfile /var/run/kserve/tls/tls.crt \\\n --ssl-keyfile /var/run/kserve/tls/tls.key\ [e2e-llm-inference-service] \ \\\n ${VLLM_ADDITIONAL_ARGS} \\\n $@\"" [e2e-llm-inference-service] - -- [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --enable-lora [e2e-llm-inference-service] - --lora-modules [e2e-llm-inference-service] - '''{"name":"lora-adapter-1","path":"/mnt/lora/lora-adapter-1"}''' [e2e-llm-inference-service] - '''{"name":"publishers/kserve-ci-e2e-test/models/lora-adapter-1","path":"/mnt/lora/lora-adapter-1"}''' [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: HOME [e2e-llm-inference-service] value: /home [e2e-llm-inference-service] - name: VLLM_LOGGING_LEVEL [e2e-llm-inference-service] value: DEBUG [e2e-llm-inference-service] - name: VLLM_CPU_KVCACHE_SPACE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: VLLM_ENABLE_V1_MULTIPROCESSING [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: USER [e2e-llm-inference-service] value: nonroot [e2e-llm-inference-service] - name: TORCHINDUCTOR_CACHE_DIR [e2e-llm-inference-service] value: /tmp/torchinductor-cache [e2e-llm-inference-service] - name: HF_HUB_CACHE [e2e-llm-inference-service] value: /models [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '2' [e2e-llm-inference-service] memory: 7Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /mnt [e2e-llm-inference-service] - name: kube-api-access-6j8lf [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: 1000700000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] serviceAccountName: default [e2e-llm-inference-service] serviceAccount: default [e2e-llm-inference-service] nodeName: ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] seLinuxOptions: [e2e-llm-inference-service] level: s0:c26,c25 [e2e-llm-inference-service] fsGroup: 1000700000 [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-thd6c [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: '2026-07-07T15:17:38Z' [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: '2026-07-07T15:17:43Z' [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: '2026-07-07T15:19:08Z' [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: '2026-07-07T15:19:08Z' [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: '2026-07-07T15:17:38Z' [e2e-llm-inference-service] hostIP: 10.0.138.195 [e2e-llm-inference-service] hostIPs: [e2e-llm-inference-service] - ip: 10.0.138.195 [e2e-llm-inference-service] podIP: 10.134.0.37 [e2e-llm-inference-service] podIPs: [e2e-llm-inference-service] - ip: 10.134.0.37 [e2e-llm-inference-service] startTime: '2026-07-07T15:17:38Z' [e2e-llm-inference-service] initContainerStatuses: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] state: [e2e-llm-inference-service] terminated: [e2e-llm-inference-service] exitCode: 0 [e2e-llm-inference-service] reason: Completed [e2e-llm-inference-service] startedAt: '2026-07-07T15:17:38Z' [e2e-llm-inference-service] finishedAt: '2026-07-07T15:17:43Z' [e2e-llm-inference-service] containerID: cri-o://019e79cf0a21f21dec183dfdb53262169e224d9f4907e7fac5b727b158374296 [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [e2e-llm-inference-service] imageID: quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [e2e-llm-inference-service] containerID: cri-o://019e79cf0a21f21dec183dfdb53262169e224d9f4907e7fac5b727b158374296 [e2e-llm-inference-service] started: false [e2e-llm-inference-service] allocatedResources: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt [e2e-llm-inference-service] - name: cabundle-cert [e2e-llm-inference-service] mountPath: /etc/ssl/custom-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] - name: kube-api-access-6j8lf [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: 1000700000 [e2e-llm-inference-service] gid: 0 [e2e-llm-inference-service] supplementalGroups: [e2e-llm-inference-service] - 0 [e2e-llm-inference-service] - 1000700000 [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: '2026-07-07T15:17:43Z' [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] imageID: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo@sha256:afb39fca138b51d019d986229d546531b45a2a3deb73bcf59bd42406e13fbba0 [e2e-llm-inference-service] containerID: cri-o://a83829dd7d1d18d2b1cd8bdb9eb6849816470748496af890331861fcf4a02522 [e2e-llm-inference-service] started: true [e2e-llm-inference-service] allocatedResources: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '2' [e2e-llm-inference-service] memory: 7Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] - name: kube-api-access-6j8lf [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: 1000700000 [e2e-llm-inference-service] gid: 0 [e2e-llm-inference-service] supplementalGroups: [e2e-llm-inference-service] - 0 [e2e-llm-inference-service] - 1000700000 [e2e-llm-inference-service] qosClass: Burstable [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-router-sche2449j [e2e-llm-inference-service] generateName: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-router-scheduler-76cdc676b7- [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 9ae96da2-9b07-456a-8d7a-dac03371455e [e2e-llm-inference-service] resourceVersion: '29622' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:17:38Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-7ca60146 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 76cdc676b7 [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] app.kubernetes.io/version: 0.9.0 [e2e-llm-inference-service] certificates.kserve.io/expiration-v2: 'true' [e2e-llm-inference-service] k8s.ovn.org/pod-networks: '{"default":{"ip_addresses":["10.132.0.47/23"],"mac_address":"0a:58:0a:84:00:2f","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":"10.132.0.47/23","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 \"10.132.0.47\"\n ],\n\ [e2e-llm-inference-service] \ \"mac\": \"0a:58:0a:84:00:2f\",\n \"default\": true,\n \"dns\": {}\n\ [e2e-llm-inference-service] }]" [e2e-llm-inference-service] openshift.io/scc: restricted-v2 [e2e-llm-inference-service] seccomp.security.alpha.kubernetes.io/pod: runtime/default [e2e-llm-inference-service] security.openshift.io/validated-scc-subject-type: user [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: apps/v1 [e2e-llm-inference-service] kind: ReplicaSet [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-router-scheduler-76cdc676b7 [e2e-llm-inference-service] uid: 57405055-2bfe-44ee-9584-643e3337eff9 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: ip-10-0-129-17 [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-07T15:17:38Z' [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] 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: '2026-07-07T15:17:38Z' [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: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":"57405055-2bfe-44ee-9584-643e3337eff9"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"SSL_CERT_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":5557,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9002,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9003,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9090,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp/tokenizer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:enableServiceLinks: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"STORAGE_ALLOW_PATTERNS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:serviceAccount: {} [e2e-llm-inference-service] f:serviceAccountName: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tokenizer-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-uds"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: multus-daemon [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-07T15:17:38Z' [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] 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: '2026-07-07T15:18:12Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] k:{"type":"ContainersReady"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Initialized"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"PodReadyToStartContainers"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"PodScheduled"}: [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] k:{"type":"Ready"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:containerStatuses: {} [e2e-llm-inference-service] f:hostIP: {} [e2e-llm-inference-service] f:hostIPs: {} [e2e-llm-inference-service] f:initContainerStatuses: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:phase: {} [e2e-llm-inference-service] f:podIP: {} [e2e-llm-inference-service] f:podIPs: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"ip":"10.132.0.47"}: [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: llmisv3e414c2ba058a022dfd694dbcbac5b51-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-tmp [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: kube-api-access-zvbb2 [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@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] - name: STORAGE_ALLOW_PATTERNS [e2e-llm-inference-service] value: '["tokenizer.json", "tokenizer_config.json", "special_tokens_map.json", [e2e-llm-inference-service] "vocab.json", "merges.txt", "config.json", "generation_config.json"]' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-zvbb2 [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: 1000700000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/epp [e2e-llm-inference-service] - --pool-name [e2e-llm-inference-service] - llmisvc-model-fb-opt-125m-with-7ca60146-inference-pool [e2e-llm-inference-service] - --pool-namespace [e2e-llm-inference-service] - kserve-ci-e2e-test [e2e-llm-inference-service] - --zap-encoder [e2e-llm-inference-service] - json [e2e-llm-inference-service] - --grpc-port [e2e-llm-inference-service] - '9002' [e2e-llm-inference-service] - --grpc-health-port [e2e-llm-inference-service] - '9003' [e2e-llm-inference-service] - --enable-cert-reload=true [e2e-llm-inference-service] - --secure-serving=true [e2e-llm-inference-service] - --model-server-metrics-scheme=https [e2e-llm-inference-service] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --config-text [e2e-llm-inference-service] - "apiVersion: inference.networking.x-k8s.io/v1alpha1\nkind: EndpointPickerConfig\n\ [e2e-llm-inference-service] plugins:\n- type: single-profile-handler\n- type: queue-scorer\n- type: prefix-cache-scorer\n\ [e2e-llm-inference-service] - type: max-score-picker\n- type: lora-affinity-scorer\nschedulingProfiles:\n\ [e2e-llm-inference-service] - name: default\n plugins:\n - pluginRef: lora-affinity-scorer\n weight:\ [e2e-llm-inference-service] \ 4\n - pluginRef: queue-scorer\n weight: 2\n - pluginRef: prefix-cache-scorer\n\ [e2e-llm-inference-service] \ weight: 3\n - pluginRef: max-score-picker\n" [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] containerPort: 9002 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] containerPort: 9003 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] containerPort: 9090 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] containerPort: 5557 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: SSL_CERT_DIR [e2e-llm-inference-service] value: /var/run/kserve/tls:/var/run/secrets/kubernetes.io/serviceaccount:/etc/pki/tls/certs [e2e-llm-inference-service] resources: [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] mountPath: /tmp/tokenizer [e2e-llm-inference-service] - name: kube-api-access-zvbb2 [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: 1000700000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] serviceAccountName: llmisvc-model-fb-opt-125m-with-7ca60146-epp-sa [e2e-llm-inference-service] serviceAccount: llmisvc-model-fb-opt-125m-with-7ca60146-epp-sa [e2e-llm-inference-service] nodeName: ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] seLinuxOptions: [e2e-llm-inference-service] level: s0:c26,c25 [e2e-llm-inference-service] fsGroup: 1000700000 [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-thd6c [e2e-llm-inference-service] - name: llmisvc-model-fb-opt-125m-with-7ca60146-epp-sa-dockercfg-zt986 [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: '2026-07-07T15:17:39Z' [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: '2026-07-07T15:17:40Z' [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: '2026-07-07T15:18:12Z' [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: '2026-07-07T15:18:12Z' [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: '2026-07-07T15:17:38Z' [e2e-llm-inference-service] hostIP: 10.0.129.17 [e2e-llm-inference-service] hostIPs: [e2e-llm-inference-service] - ip: 10.0.129.17 [e2e-llm-inference-service] podIP: 10.132.0.47 [e2e-llm-inference-service] podIPs: [e2e-llm-inference-service] - ip: 10.132.0.47 [e2e-llm-inference-service] startTime: '2026-07-07T15:17:38Z' [e2e-llm-inference-service] initContainerStatuses: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] state: [e2e-llm-inference-service] terminated: [e2e-llm-inference-service] exitCode: 0 [e2e-llm-inference-service] reason: Completed [e2e-llm-inference-service] startedAt: '2026-07-07T15:17:39Z' [e2e-llm-inference-service] finishedAt: '2026-07-07T15:17:39Z' [e2e-llm-inference-service] containerID: cri-o://ff688ad78bb675b3ea597148abfbfe95edb632c2ce9e84cd2cfd21b012cf544f [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [e2e-llm-inference-service] imageID: quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [e2e-llm-inference-service] containerID: cri-o://ff688ad78bb675b3ea597148abfbfe95edb632c2ce9e84cd2cfd21b012cf544f [e2e-llm-inference-service] started: false [e2e-llm-inference-service] allocatedResources: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-zvbb2 [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: 1000700000 [e2e-llm-inference-service] gid: 0 [e2e-llm-inference-service] supplementalGroups: [e2e-llm-inference-service] - 0 [e2e-llm-inference-service] - 1000700000 [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: '2026-07-07T15:17:40Z' [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2 [e2e-llm-inference-service] imageID: ghcr.io/llm-d/llm-d-router-endpoint-picker@sha256:06b6c75d77afd0e07053402752a9736c2dfbc12a306d0d37d963aac4c1d4e6a6 [e2e-llm-inference-service] containerID: cri-o://093880ce58b23a16af03feab3230c8f4c355908589d7679b831399efb077a767 [e2e-llm-inference-service] started: true [e2e-llm-inference-service] allocatedResources: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] resources: [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] mountPath: /tmp/tokenizer [e2e-llm-inference-service] - name: kube-api-access-zvbb2 [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: 1000700000 [e2e-llm-inference-service] gid: 0 [e2e-llm-inference-service] supplementalGroups: [e2e-llm-inference-service] - 0 [e2e-llm-inference-service] - 1000700000 [e2e-llm-inference-service] qosClass: Burstable [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-epp-sa [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: f5cac34f-a9f4-41bb-85c8-b340d0497339 [e2e-llm-inference-service] resourceVersion: '28922' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:17:38Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-7ca60146 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] openshift.io/internal-registry-pull-secret-ref: llmisvc-model-fb-opt-125m-with-7ca60146-epp-sa-dockercfg-zt986 [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146 [e2e-llm-inference-service] uid: 32bc1703-1fbf-4f2e-9cc0-d3f7423bbe9e [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: '2026-07-07T15:17:38Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:imagePullSecrets: {} [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] f:openshift.io/internal-registry-pull-secret-ref: {} [e2e-llm-inference-service] f:secrets: [e2e-llm-inference-service] k:{"name":"llmisvc-model-fb-opt-125m-with-7ca60146-epp-sa-dockercfg-zt986"}: {} [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-07T15:17:38Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [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":"32bc1703-1fbf-4f2e-9cc0-d3f7423bbe9e"}: {} [e2e-llm-inference-service] f:secrets: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"default-dockercfg-thd6c"}: {} [e2e-llm-inference-service] k:{"name":"seaweedfs-s3-creds"}: {} [e2e-llm-inference-service] secrets: [e2e-llm-inference-service] - name: default-dockercfg-thd6c [e2e-llm-inference-service] - name: seaweedfs-s3-creds [e2e-llm-inference-service] - name: llmisvc-model-fb-opt-125m-with-7ca60146-epp-sa-dockercfg-zt986 [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-thd6c [e2e-llm-inference-service] - name: llmisvc-model-fb-opt-125m-with-7ca60146-epp-sa-dockercfg-zt986 [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: ServiceAccount [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-epp-service [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: e8b0ff71-122d-4ba6-ae1d-3034a89e9c6e [e2e-llm-inference-service] resourceVersion: '28939' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:17:38Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-7ca60146 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146 [e2e-llm-inference-service] uid: 32bc1703-1fbf-4f2e-9cc0-d3f7423bbe9e [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: '2026-07-07T15:17:38Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [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":"32bc1703-1fbf-4f2e-9cc0-d3f7423bbe9e"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:internalTrafficPolicy: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"port":5557,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:targetPort: {} [e2e-llm-inference-service] k:{"port":9002,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:targetPort: {} [e2e-llm-inference-service] k:{"port":9003,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:targetPort: {} [e2e-llm-inference-service] k:{"port":9090,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:targetPort: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:sessionAffinity: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] spec: [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9002 [e2e-llm-inference-service] targetPort: grpc [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] targetPort: grpc-health [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9090 [e2e-llm-inference-service] targetPort: metrics [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 5557 [e2e-llm-inference-service] targetPort: zmq [e2e-llm-inference-service] selector: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-7ca60146 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] clusterIP: 172.31.9.99 [e2e-llm-inference-service] clusterIPs: [e2e-llm-inference-service] - 172.31.9.99 [e2e-llm-inference-service] type: ClusterIP [e2e-llm-inference-service] sessionAffinity: None [e2e-llm-inference-service] ipFamilies: [e2e-llm-inference-service] - IPv4 [e2e-llm-inference-service] ipFamilyPolicy: SingleStack [e2e-llm-inference-service] internalTrafficPolicy: Cluster [e2e-llm-inference-service] status: [e2e-llm-inference-service] loadBalancer: {} [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 899c136e-0388-4d34-8318-223291f5513a [e2e-llm-inference-service] resourceVersion: '28907' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:17:38Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-7ca60146 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146 [e2e-llm-inference-service] uid: 32bc1703-1fbf-4f2e-9cc0-d3f7423bbe9e [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: '2026-07-07T15:17:38Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [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":"32bc1703-1fbf-4f2e-9cc0-d3f7423bbe9e"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:internalTrafficPolicy: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"port":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:appProtocol: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:targetPort: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:sessionAffinity: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] spec: [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: https [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] appProtocol: https [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] targetPort: 8000 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-7ca60146 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] clusterIP: 172.31.96.68 [e2e-llm-inference-service] clusterIPs: [e2e-llm-inference-service] - 172.31.96.68 [e2e-llm-inference-service] type: ClusterIP [e2e-llm-inference-service] sessionAffinity: None [e2e-llm-inference-service] ipFamilies: [e2e-llm-inference-service] - IPv4 [e2e-llm-inference-service] ipFamilyPolicy: SingleStack [e2e-llm-inference-service] internalTrafficPolicy: Cluster [e2e-llm-inference-service] status: [e2e-llm-inference-service] loadBalancer: {} [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-kserve [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 4e79f384-1248-4ec6-9536-9d00bd0e543c [e2e-llm-inference-service] resourceVersion: '30622' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:17:38Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-7ca60146 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] deployment.kubernetes.io/revision: '1' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146 [e2e-llm-inference-service] uid: 32bc1703-1fbf-4f2e-9cc0-d3f7423bbe9e [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: '2026-07-07T15:17:38Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [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":"32bc1703-1fbf-4f2e-9cc0-d3f7423bbe9e"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:progressDeadlineSeconds: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:revisionHistoryLimit: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:strategy: [e2e-llm-inference-service] f:rollingUpdate: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:maxSurge: {} [e2e-llm-inference-service] f:maxUnavailable: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:template: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:llm-d.ai/role: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_CACHE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HOME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"TORCHINDUCTOR_CACHE_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"USER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_CPU_KVCACHE_SPACE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_ENABLE_V1_MULTIPROCESSING"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_LOGGING_LEVEL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:startupProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/dev/shm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] k:{"mountPath":"/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"CA_BUNDLE_CONFIGMAP_NAME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"CA_BUNDLE_VOLUME_MOUNT_POINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/etc/ssl/custom-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"cabundle-cert"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:configMap: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"dshm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:medium: {} [e2e-llm-inference-service] f:sizeLimit: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"model-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tmp-dir"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-07T15:19:08Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/revision: {} [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:availableReplicas: {} [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"type":"Available"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:lastUpdateTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Progressing"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:lastUpdateTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:readyReplicas: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:updatedReplicas: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-7ca60146 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] template: [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-7ca60146 [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: llmisv3e414c2ba058a022dfd694dbcbac5b51-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: cabundle-cert [e2e-llm-inference-service] configMap: [e2e-llm-inference-service] name: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] - hf://edbeeching/opt-125m-lora [e2e-llm-inference-service] - /mnt/lora/lora-adapter-1 [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] - name: CA_BUNDLE_CONFIGMAP_NAME [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: CA_BUNDLE_VOLUME_MOUNT_POINT [e2e-llm-inference-service] value: /etc/ssl/custom-certs [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt [e2e-llm-inference-service] - name: cabundle-cert [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /etc/ssl/custom-certs [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/bash [e2e-llm-inference-service] - -c [e2e-llm-inference-service] - "if [ -f /etc/profile.d/ibm-aiu-setup.sh ]; then\n source /etc/profile.d/ibm-aiu-setup.sh\n\ [e2e-llm-inference-service] fi\n\nif [ \"$KSERVE_INFER_ROCE\" = \"true\" ]; then\n echo \"Trying to\ [e2e-llm-inference-service] \ infer RoCE configs ... \"\n grep -H . /sys/class/infiniband/*/ports/*/gids/*\ [e2e-llm-inference-service] \ 2>/dev/null\n grep -H . /sys/class/infiniband/*/ports/*/gid_attrs/types/*\ [e2e-llm-inference-service] \ 2>/dev/null\n\n cat /proc/driver/nvidia/params\n\n KSERVE_INFER_IB_GID_INDEX_GREP=${KSERVE_INFER_IB_GID_INDEX_GREP:-\"\ [e2e-llm-inference-service] RoCE v2\"}\n\n echo \"[Infer RoCE] Discovering active HCAs ...\"\n active_hcas=()\n\ [e2e-llm-inference-service] \ # Loop through all mlx5 devices found in sysfs\n for hca_dir in /sys/class/infiniband/mlx5_*;\ [e2e-llm-inference-service] \ do\n # Ensure it's a directory before proceeding\n if [ -d \"\ [e2e-llm-inference-service] $hca_dir\" ]; then\n hca_name=$(basename \"$hca_dir\")\n \ [e2e-llm-inference-service] \ port_state_file=\"$hca_dir/ports/1/state\" # Assume port 1\n \ [e2e-llm-inference-service] \ type_file=\"$hca_dir/ports/1/gid_attrs/types/*\"\n\n echo\ [e2e-llm-inference-service] \ \"[Infer RoCE] Check if the port state file ${port_state_file} exists\ [e2e-llm-inference-service] \ and contains 'ACTIVE'\"\n if [ -f \"$port_state_file\" ] && grep\ [e2e-llm-inference-service] \ -q \"ACTIVE\" \"$port_state_file\" && grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\"\ [e2e-llm-inference-service] \ ${type_file} 2>/dev/null; then\n echo \"[Infer RoCE] Found\ [e2e-llm-inference-service] \ active HCA: $hca_name\"\n active_hcas+=(\"$hca_name\")\n\ [e2e-llm-inference-service] \ else\n echo \"[Infer RoCE] Skipping inactive or\ [e2e-llm-inference-service] \ down HCA: $hca_name\"\n fi\n fi\n done\n\n # Check if\ [e2e-llm-inference-service] \ we found any active HCAs\n if [ ${#active_hcas[@]} -gt 0 ]; then\n \ [e2e-llm-inference-service] \ # Join the array elements with a comma\n hca_port_pairs=()\n \ [e2e-llm-inference-service] \ for hca in \"${active_hcas[@]}\"; do\n hca_port_pairs+=(\"\ [e2e-llm-inference-service] ${hca}:1\")\n done\n\n active_hca_list=$(IFS=,; echo \"${active_hcas[*]}\"\ [e2e-llm-inference-service] )\n hca_port_pairs_list=$(IFS=,; echo \"${hca_port_pairs[*]}\")\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Setting active HCAs: ${active_hca_list}\"\n \ [e2e-llm-inference-service] \ export NCCL_IB_HCA=${NCCL_IB_HCA:-${active_hca_list}}\n export\ [e2e-llm-inference-service] \ NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST:-${hca_port_pairs_list}}\n export\ [e2e-llm-inference-service] \ UCX_NET_DEVICES=${UCX_NET_DEVICES:-${hca_port_pairs_list}}\n\n echo\ [e2e-llm-inference-service] \ \"[Infer RoCE] NCCL_IB_HCA=${NCCL_IB_HCA}\"\n echo \"[Infer RoCE]\ [e2e-llm-inference-service] \ NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST}\"\n echo \"[Infer RoCE] UCX_NET_DEVICES=${UCX_NET_DEVICES}\"\ [e2e-llm-inference-service] \n else\n echo \"[Infer RoCE] WARNING: No active RoCE HCAs found.\ [e2e-llm-inference-service] \ NCCL_IB_HCA will not be set.\"\n fi\n\n if [ ${#active_hcas[@]} -gt\ [e2e-llm-inference-service] \ 0 ]; then\n echo \"[Infer RoCE] Finding GID_INDEX for each active\ [e2e-llm-inference-service] \ HCA (SR-IOV compatible)...\"\n\n # For SR-IOV environments, find\ [e2e-llm-inference-service] \ the most common IPv4 RoCE v2 GID index across all HCAs\n declare\ [e2e-llm-inference-service] \ -A gid_index_count\n declare -A hca_gid_index\n\n for hca_name\ [e2e-llm-inference-service] \ in \"${active_hcas[@]}\"; do\n echo \"[Infer RoCE] Processing\ [e2e-llm-inference-service] \ HCA: ${hca_name}\"\n\n # Find all RoCE v2 IPv4 GIDs for this\ [e2e-llm-inference-service] \ HCA and count by index\n for tpath in /sys/class/infiniband/${hca_name}/ports/1/gid_attrs/types/*;\ [e2e-llm-inference-service] \ do\n if grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\" \"\ [e2e-llm-inference-service] $tpath\" 2>/dev/null; then\n idx=$(basename \"$tpath\"\ [e2e-llm-inference-service] )\n gid_file=\"/sys/class/infiniband/${hca_name}/ports/1/gids/${idx}\"\ [e2e-llm-inference-service] \n # Check for IPv4 GID (contains ffff:)\n \ [e2e-llm-inference-service] \ if [ -f \"$gid_file\" ] && grep -q \"ffff:\" \"$gid_file\"; then\n\ [e2e-llm-inference-service] \ gid_value=$(cat \"$gid_file\" 2>/dev/null || echo\ [e2e-llm-inference-service] \ \"\")\n echo \"[Infer RoCE] Found IPv4 RoCE v2 GID\ [e2e-llm-inference-service] \ for ${hca_name}: index=${idx}, gid=${gid_value}\"\n \ [e2e-llm-inference-service] \ hca_gid_index[\"${hca_name}\"]=\"${idx}\"\n gid_index_count[\"\ [e2e-llm-inference-service] ${idx}\"]=$((${gid_index_count[\"${idx}\"]} + 1))\n \ [e2e-llm-inference-service] \ break # Use first found IPv4 GID per HCA\n fi\n \ [e2e-llm-inference-service] \ fi\n done\n done\n\n # Find the most common\ [e2e-llm-inference-service] \ GID index (most likely to be consistent across nodes)\n best_gid_index=\"\ [e2e-llm-inference-service] \"\n max_count=0\n for idx in \"${!gid_index_count[@]}\"; do\n\ [e2e-llm-inference-service] \ count=${gid_index_count[\"${idx}\"]}\n echo \"[Infer\ [e2e-llm-inference-service] \ RoCE] GID_INDEX ${idx} found on ${count} HCAs\"\n if [ $count\ [e2e-llm-inference-service] \ -gt $max_count ]; then\n max_count=$count\n \ [e2e-llm-inference-service] \ best_gid_index=\"$idx\"\n fi\n done\n\n # Use deterministic\ [e2e-llm-inference-service] \ fallback if tied - prefer index 3 (SR-IOV standard)\n if [ ${#gid_index_count[@]}\ [e2e-llm-inference-service] \ -gt 1 ]; then\n echo \"[Infer RoCE] Multiple GID indices found,\ [e2e-llm-inference-service] \ selecting most common: ${best_gid_index}\"\n # If there's a tie,\ [e2e-llm-inference-service] \ prefer index 3 as it's most common in SR-IOV setups\n if [ -n\ [e2e-llm-inference-service] \ \"${gid_index_count['3']}\" ] && [ \"${gid_index_count['3']}\" -eq \"\ [e2e-llm-inference-service] $max_count\" ]; then\n best_gid_index=\"3\"\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using deterministic fallback: GID_INDEX=3 (SR-IOV\ [e2e-llm-inference-service] \ standard)\"\n fi\n fi\n\n # Check if GID_INDEX is already\ [e2e-llm-inference-service] \ set via environment variables\n if [ -n \"${NCCL_IB_GID_INDEX}\"\ [e2e-llm-inference-service] \ ]; then\n echo \"[Infer RoCE] Using pre-configured NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ from environment\"\n export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using pre-configured GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ for NCCL, NVSHMEM, and UCX\"\n elif [ -n \"$best_gid_index\" ]; then\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Selected GID_INDEX: ${best_gid_index} (found\ [e2e-llm-inference-service] \ on ${max_count} HCAs)\"\n\n export NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \n echo \"[Infer RoCE] Exported GID_INDEX=${best_gid_index} for\ [e2e-llm-inference-service] \ NCCL, NVSHMEM, and UCX\"\n else\n echo \"[Infer RoCE] ERROR:\ [e2e-llm-inference-service] \ No valid IPv4 ${KSERVE_INFER_IB_GID_INDEX_GREP} GID_INDEX found on any\ [e2e-llm-inference-service] \ HCA.\"\n fi\n else\n echo \"[Infer RoCE] No active HCAs found,\ [e2e-llm-inference-service] \ skipping GID_INDEX inference.\"\n fi\nfi\n\n# --disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ landed in vLLM 0.16.0 (vllm-project/vllm#30011).\n# Older versions still\ [e2e-llm-inference-service] \ need the blanket --disable-uvicorn-access-log.\nACCESS_LOG_ARGS=\"--disable-uvicorn-access-log\"\ [e2e-llm-inference-service] \nVLLM_VERSION=$(vllm --version 2>/dev/null | tail -1 | awk '{print $NF}')\n\ [e2e-llm-inference-service] echo \"[access-log-detect] vllm version='${VLLM_VERSION}'\"\nif [[ \"$VLLM_VERSION\"\ [e2e-llm-inference-service] \ =~ ^[0-9]+\\.[0-9]+ ]] && [ \"$(printf '%s\\n%s\\n' \"0.16.0\" \"${VLLM_VERSION}\"\ [e2e-llm-inference-service] \ | sort -V | head -1)\" = \"0.16.0\" ]; then\n ACCESS_LOG_ARGS=\"--disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ /health,/metrics,/ping\"\nfi\necho \"[access-log-detect] selected ACCESS_LOG_ARGS='${ACCESS_LOG_ARGS}'\"\ [e2e-llm-inference-service] \n\n# --shutdown-timeout landed in vLLM 0.18.0 (vllm-project/vllm#36666).\n\ [e2e-llm-inference-service] SHUTDOWN_TIMEOUT_ARGS=\"\"\nif [[ \"$VLLM_VERSION\" =~ ^[0-9]+\\.[0-9]+\ [e2e-llm-inference-service] \ ]] && [ \"$(printf '%s\\n%s\\n' \"0.18.0\" \"${VLLM_VERSION}\" | sort\ [e2e-llm-inference-service] \ -V | head -1)\" = \"0.18.0\" ]; then\n SHUTDOWN_TIMEOUT_ARGS=\"--shutdown-timeout\ [e2e-llm-inference-service] \ 40\"\nfi\n\neval \"exec vllm serve /mnt/models \\\n --served-model-name\ [e2e-llm-inference-service] \ \"facebook/opt-125m\" \"publishers/kserve-ci-e2e-test/models/facebook/opt-125m\"\ [e2e-llm-inference-service] \ \\\n --port 8000 \\\n ${ACCESS_LOG_ARGS} \\\n ${SHUTDOWN_TIMEOUT_ARGS}\ [e2e-llm-inference-service] \ \\\n --enable-ssl-refresh \\\n --ssl-certfile /var/run/kserve/tls/tls.crt\ [e2e-llm-inference-service] \ \\\n --ssl-keyfile /var/run/kserve/tls/tls.key \\\n ${VLLM_ADDITIONAL_ARGS}\ [e2e-llm-inference-service] \ \\\n $@\"" [e2e-llm-inference-service] - -- [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --enable-lora [e2e-llm-inference-service] - --lora-modules [e2e-llm-inference-service] - '''{"name":"lora-adapter-1","path":"/mnt/lora/lora-adapter-1"}''' [e2e-llm-inference-service] - '''{"name":"publishers/kserve-ci-e2e-test/models/lora-adapter-1","path":"/mnt/lora/lora-adapter-1"}''' [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: HOME [e2e-llm-inference-service] value: /home [e2e-llm-inference-service] - name: VLLM_LOGGING_LEVEL [e2e-llm-inference-service] value: DEBUG [e2e-llm-inference-service] - name: VLLM_CPU_KVCACHE_SPACE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: VLLM_ENABLE_V1_MULTIPROCESSING [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: USER [e2e-llm-inference-service] value: nonroot [e2e-llm-inference-service] - name: TORCHINDUCTOR_CACHE_DIR [e2e-llm-inference-service] value: /tmp/torchinductor-cache [e2e-llm-inference-service] - name: HF_HUB_CACHE [e2e-llm-inference-service] value: /models [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '2' [e2e-llm-inference-service] memory: 7Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /mnt [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 10 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 1 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 2 [e2e-llm-inference-service] startupProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 60 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] securityContext: {} [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] strategy: [e2e-llm-inference-service] type: RollingUpdate [e2e-llm-inference-service] rollingUpdate: [e2e-llm-inference-service] maxUnavailable: 25% [e2e-llm-inference-service] maxSurge: 25% [e2e-llm-inference-service] revisionHistoryLimit: 10 [e2e-llm-inference-service] progressDeadlineSeconds: 600 [e2e-llm-inference-service] status: [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] updatedReplicas: 1 [e2e-llm-inference-service] readyReplicas: 1 [e2e-llm-inference-service] availableReplicas: 1 [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - type: Available [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastUpdateTime: '2026-07-07T15:19:08Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-07T15:19:08Z' [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: '2026-07-07T15:19:08Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-07T15:17:38Z' [e2e-llm-inference-service] reason: NewReplicaSetAvailable [e2e-llm-inference-service] message: ReplicaSet "llmisvc-model-fb-opt-125m-with-7ca60146-kserve-855b7d474b" [e2e-llm-inference-service] has successfully progressed. [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] kind: Deployment [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-router-scheduler [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 823f6996-4e29-4e79-970c-668b890ab0ff [e2e-llm-inference-service] resourceVersion: '29626' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:17:38Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-7ca60146 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] deployment.kubernetes.io/revision: '1' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146 [e2e-llm-inference-service] uid: 32bc1703-1fbf-4f2e-9cc0-d3f7423bbe9e [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: '2026-07-07T15:17:38Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [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":"32bc1703-1fbf-4f2e-9cc0-d3f7423bbe9e"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:progressDeadlineSeconds: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:revisionHistoryLimit: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:strategy: [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:template: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/version: {} [e2e-llm-inference-service] f:certificates.kserve.io/expiration-v2: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"SSL_CERT_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":5557,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9002,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9003,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9090,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp/tokenizer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"STORAGE_ALLOW_PATTERNS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:serviceAccount: {} [e2e-llm-inference-service] f:serviceAccountName: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tokenizer-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-uds"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-07T15:18:12Z' [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/revision: {} [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:availableReplicas: {} [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"type":"Available"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:lastUpdateTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Progressing"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:lastUpdateTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:readyReplicas: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:updatedReplicas: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-7ca60146 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] template: [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-7ca60146 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] app.kubernetes.io/version: 0.9.0 [e2e-llm-inference-service] certificates.kserve.io/expiration-v2: 'true' [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: llmisv3e414c2ba058a022dfd694dbcbac5b51-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-tmp [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] - name: STORAGE_ALLOW_PATTERNS [e2e-llm-inference-service] value: '["tokenizer.json", "tokenizer_config.json", "special_tokens_map.json", [e2e-llm-inference-service] "vocab.json", "merges.txt", "config.json", "generation_config.json"]' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/epp [e2e-llm-inference-service] - --pool-name [e2e-llm-inference-service] - llmisvc-model-fb-opt-125m-with-7ca60146-inference-pool [e2e-llm-inference-service] - --pool-namespace [e2e-llm-inference-service] - kserve-ci-e2e-test [e2e-llm-inference-service] - --zap-encoder [e2e-llm-inference-service] - json [e2e-llm-inference-service] - --grpc-port [e2e-llm-inference-service] - '9002' [e2e-llm-inference-service] - --grpc-health-port [e2e-llm-inference-service] - '9003' [e2e-llm-inference-service] - --enable-cert-reload=true [e2e-llm-inference-service] - --secure-serving=true [e2e-llm-inference-service] - --model-server-metrics-scheme=https [e2e-llm-inference-service] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --config-text [e2e-llm-inference-service] - "apiVersion: inference.networking.x-k8s.io/v1alpha1\nkind: EndpointPickerConfig\n\ [e2e-llm-inference-service] plugins:\n- type: single-profile-handler\n- type: queue-scorer\n- type:\ [e2e-llm-inference-service] \ prefix-cache-scorer\n- type: max-score-picker\n- type: lora-affinity-scorer\n\ [e2e-llm-inference-service] schedulingProfiles:\n- name: default\n plugins:\n - pluginRef: lora-affinity-scorer\n\ [e2e-llm-inference-service] \ weight: 4\n - pluginRef: queue-scorer\n weight: 2\n - pluginRef:\ [e2e-llm-inference-service] \ prefix-cache-scorer\n weight: 3\n - pluginRef: max-score-picker\n" [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] containerPort: 9002 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] containerPort: 9003 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] containerPort: 9090 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] containerPort: 5557 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: SSL_CERT_DIR [e2e-llm-inference-service] value: /var/run/kserve/tls:/var/run/secrets/kubernetes.io/serviceaccount:/etc/pki/tls/certs [e2e-llm-inference-service] resources: [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] mountPath: /tmp/tokenizer [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: liveness [e2e-llm-inference-service] initialDelaySeconds: 5 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: readiness [e2e-llm-inference-service] initialDelaySeconds: 30 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] serviceAccountName: llmisvc-model-fb-opt-125m-with-7ca60146-epp-sa [e2e-llm-inference-service] serviceAccount: llmisvc-model-fb-opt-125m-with-7ca60146-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: '2026-07-07T15:18:12Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-07T15:18:12Z' [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: '2026-07-07T15:18:12Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-07T15:17:38Z' [e2e-llm-inference-service] reason: NewReplicaSetAvailable [e2e-llm-inference-service] message: ReplicaSet "llmisvc-model-fb-opt-125m-with-7ca60146-kserve-router-scheduler-76cdc676b7" [e2e-llm-inference-service] has successfully progressed. [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] kind: Deployment [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-855b7d474b [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 6b01488c-247f-4e18-b514-a7e83d804051 [e2e-llm-inference-service] resourceVersion: '30621' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:17:38Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-7ca60146 [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: 855b7d474b [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] deployment.kubernetes.io/desired-replicas: '1' [e2e-llm-inference-service] deployment.kubernetes.io/max-replicas: '2' [e2e-llm-inference-service] deployment.kubernetes.io/revision: '1' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: apps/v1 [e2e-llm-inference-service] kind: Deployment [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-kserve [e2e-llm-inference-service] uid: 4e79f384-1248-4ec6-9536-9d00bd0e543c [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: '2026-07-07T15:17:38Z' [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/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":"4e79f384-1248-4ec6-9536-9d00bd0e543c"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:template: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:llm-d.ai/role: {} [e2e-llm-inference-service] f:pod-template-hash: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_CACHE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HOME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"TORCHINDUCTOR_CACHE_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"USER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_CPU_KVCACHE_SPACE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_ENABLE_V1_MULTIPROCESSING"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_LOGGING_LEVEL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:startupProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/dev/shm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] k:{"mountPath":"/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"CA_BUNDLE_CONFIGMAP_NAME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"CA_BUNDLE_VOLUME_MOUNT_POINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/etc/ssl/custom-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"cabundle-cert"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:configMap: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"dshm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:medium: {} [e2e-llm-inference-service] f:sizeLimit: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"model-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tmp-dir"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-07T15:19:08Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:availableReplicas: {} [e2e-llm-inference-service] f:fullyLabeledReplicas: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:readyReplicas: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-7ca60146 [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: 855b7d474b [e2e-llm-inference-service] template: [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-7ca60146 [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: 855b7d474b [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: llmisv3e414c2ba058a022dfd694dbcbac5b51-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: cabundle-cert [e2e-llm-inference-service] configMap: [e2e-llm-inference-service] name: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] - hf://edbeeching/opt-125m-lora [e2e-llm-inference-service] - /mnt/lora/lora-adapter-1 [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] - name: CA_BUNDLE_CONFIGMAP_NAME [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: CA_BUNDLE_VOLUME_MOUNT_POINT [e2e-llm-inference-service] value: /etc/ssl/custom-certs [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt [e2e-llm-inference-service] - name: cabundle-cert [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /etc/ssl/custom-certs [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/bash [e2e-llm-inference-service] - -c [e2e-llm-inference-service] - "if [ -f /etc/profile.d/ibm-aiu-setup.sh ]; then\n source /etc/profile.d/ibm-aiu-setup.sh\n\ [e2e-llm-inference-service] fi\n\nif [ \"$KSERVE_INFER_ROCE\" = \"true\" ]; then\n echo \"Trying to\ [e2e-llm-inference-service] \ infer RoCE configs ... \"\n grep -H . /sys/class/infiniband/*/ports/*/gids/*\ [e2e-llm-inference-service] \ 2>/dev/null\n grep -H . /sys/class/infiniband/*/ports/*/gid_attrs/types/*\ [e2e-llm-inference-service] \ 2>/dev/null\n\n cat /proc/driver/nvidia/params\n\n KSERVE_INFER_IB_GID_INDEX_GREP=${KSERVE_INFER_IB_GID_INDEX_GREP:-\"\ [e2e-llm-inference-service] RoCE v2\"}\n\n echo \"[Infer RoCE] Discovering active HCAs ...\"\n active_hcas=()\n\ [e2e-llm-inference-service] \ # Loop through all mlx5 devices found in sysfs\n for hca_dir in /sys/class/infiniband/mlx5_*;\ [e2e-llm-inference-service] \ do\n # Ensure it's a directory before proceeding\n if [ -d \"\ [e2e-llm-inference-service] $hca_dir\" ]; then\n hca_name=$(basename \"$hca_dir\")\n \ [e2e-llm-inference-service] \ port_state_file=\"$hca_dir/ports/1/state\" # Assume port 1\n \ [e2e-llm-inference-service] \ type_file=\"$hca_dir/ports/1/gid_attrs/types/*\"\n\n echo\ [e2e-llm-inference-service] \ \"[Infer RoCE] Check if the port state file ${port_state_file} exists\ [e2e-llm-inference-service] \ and contains 'ACTIVE'\"\n if [ -f \"$port_state_file\" ] && grep\ [e2e-llm-inference-service] \ -q \"ACTIVE\" \"$port_state_file\" && grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\"\ [e2e-llm-inference-service] \ ${type_file} 2>/dev/null; then\n echo \"[Infer RoCE] Found\ [e2e-llm-inference-service] \ active HCA: $hca_name\"\n active_hcas+=(\"$hca_name\")\n\ [e2e-llm-inference-service] \ else\n echo \"[Infer RoCE] Skipping inactive or\ [e2e-llm-inference-service] \ down HCA: $hca_name\"\n fi\n fi\n done\n\n # Check if\ [e2e-llm-inference-service] \ we found any active HCAs\n if [ ${#active_hcas[@]} -gt 0 ]; then\n \ [e2e-llm-inference-service] \ # Join the array elements with a comma\n hca_port_pairs=()\n \ [e2e-llm-inference-service] \ for hca in \"${active_hcas[@]}\"; do\n hca_port_pairs+=(\"\ [e2e-llm-inference-service] ${hca}:1\")\n done\n\n active_hca_list=$(IFS=,; echo \"${active_hcas[*]}\"\ [e2e-llm-inference-service] )\n hca_port_pairs_list=$(IFS=,; echo \"${hca_port_pairs[*]}\")\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Setting active HCAs: ${active_hca_list}\"\n \ [e2e-llm-inference-service] \ export NCCL_IB_HCA=${NCCL_IB_HCA:-${active_hca_list}}\n export\ [e2e-llm-inference-service] \ NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST:-${hca_port_pairs_list}}\n export\ [e2e-llm-inference-service] \ UCX_NET_DEVICES=${UCX_NET_DEVICES:-${hca_port_pairs_list}}\n\n echo\ [e2e-llm-inference-service] \ \"[Infer RoCE] NCCL_IB_HCA=${NCCL_IB_HCA}\"\n echo \"[Infer RoCE]\ [e2e-llm-inference-service] \ NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST}\"\n echo \"[Infer RoCE] UCX_NET_DEVICES=${UCX_NET_DEVICES}\"\ [e2e-llm-inference-service] \n else\n echo \"[Infer RoCE] WARNING: No active RoCE HCAs found.\ [e2e-llm-inference-service] \ NCCL_IB_HCA will not be set.\"\n fi\n\n if [ ${#active_hcas[@]} -gt\ [e2e-llm-inference-service] \ 0 ]; then\n echo \"[Infer RoCE] Finding GID_INDEX for each active\ [e2e-llm-inference-service] \ HCA (SR-IOV compatible)...\"\n\n # For SR-IOV environments, find\ [e2e-llm-inference-service] \ the most common IPv4 RoCE v2 GID index across all HCAs\n declare\ [e2e-llm-inference-service] \ -A gid_index_count\n declare -A hca_gid_index\n\n for hca_name\ [e2e-llm-inference-service] \ in \"${active_hcas[@]}\"; do\n echo \"[Infer RoCE] Processing\ [e2e-llm-inference-service] \ HCA: ${hca_name}\"\n\n # Find all RoCE v2 IPv4 GIDs for this\ [e2e-llm-inference-service] \ HCA and count by index\n for tpath in /sys/class/infiniband/${hca_name}/ports/1/gid_attrs/types/*;\ [e2e-llm-inference-service] \ do\n if grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\" \"\ [e2e-llm-inference-service] $tpath\" 2>/dev/null; then\n idx=$(basename \"$tpath\"\ [e2e-llm-inference-service] )\n gid_file=\"/sys/class/infiniband/${hca_name}/ports/1/gids/${idx}\"\ [e2e-llm-inference-service] \n # Check for IPv4 GID (contains ffff:)\n \ [e2e-llm-inference-service] \ if [ -f \"$gid_file\" ] && grep -q \"ffff:\" \"$gid_file\"; then\n\ [e2e-llm-inference-service] \ gid_value=$(cat \"$gid_file\" 2>/dev/null || echo\ [e2e-llm-inference-service] \ \"\")\n echo \"[Infer RoCE] Found IPv4 RoCE v2 GID\ [e2e-llm-inference-service] \ for ${hca_name}: index=${idx}, gid=${gid_value}\"\n \ [e2e-llm-inference-service] \ hca_gid_index[\"${hca_name}\"]=\"${idx}\"\n gid_index_count[\"\ [e2e-llm-inference-service] ${idx}\"]=$((${gid_index_count[\"${idx}\"]} + 1))\n \ [e2e-llm-inference-service] \ break # Use first found IPv4 GID per HCA\n fi\n \ [e2e-llm-inference-service] \ fi\n done\n done\n\n # Find the most common\ [e2e-llm-inference-service] \ GID index (most likely to be consistent across nodes)\n best_gid_index=\"\ [e2e-llm-inference-service] \"\n max_count=0\n for idx in \"${!gid_index_count[@]}\"; do\n\ [e2e-llm-inference-service] \ count=${gid_index_count[\"${idx}\"]}\n echo \"[Infer\ [e2e-llm-inference-service] \ RoCE] GID_INDEX ${idx} found on ${count} HCAs\"\n if [ $count\ [e2e-llm-inference-service] \ -gt $max_count ]; then\n max_count=$count\n \ [e2e-llm-inference-service] \ best_gid_index=\"$idx\"\n fi\n done\n\n # Use deterministic\ [e2e-llm-inference-service] \ fallback if tied - prefer index 3 (SR-IOV standard)\n if [ ${#gid_index_count[@]}\ [e2e-llm-inference-service] \ -gt 1 ]; then\n echo \"[Infer RoCE] Multiple GID indices found,\ [e2e-llm-inference-service] \ selecting most common: ${best_gid_index}\"\n # If there's a tie,\ [e2e-llm-inference-service] \ prefer index 3 as it's most common in SR-IOV setups\n if [ -n\ [e2e-llm-inference-service] \ \"${gid_index_count['3']}\" ] && [ \"${gid_index_count['3']}\" -eq \"\ [e2e-llm-inference-service] $max_count\" ]; then\n best_gid_index=\"3\"\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using deterministic fallback: GID_INDEX=3 (SR-IOV\ [e2e-llm-inference-service] \ standard)\"\n fi\n fi\n\n # Check if GID_INDEX is already\ [e2e-llm-inference-service] \ set via environment variables\n if [ -n \"${NCCL_IB_GID_INDEX}\"\ [e2e-llm-inference-service] \ ]; then\n echo \"[Infer RoCE] Using pre-configured NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ from environment\"\n export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using pre-configured GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ for NCCL, NVSHMEM, and UCX\"\n elif [ -n \"$best_gid_index\" ]; then\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Selected GID_INDEX: ${best_gid_index} (found\ [e2e-llm-inference-service] \ on ${max_count} HCAs)\"\n\n export NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \n echo \"[Infer RoCE] Exported GID_INDEX=${best_gid_index} for\ [e2e-llm-inference-service] \ NCCL, NVSHMEM, and UCX\"\n else\n echo \"[Infer RoCE] ERROR:\ [e2e-llm-inference-service] \ No valid IPv4 ${KSERVE_INFER_IB_GID_INDEX_GREP} GID_INDEX found on any\ [e2e-llm-inference-service] \ HCA.\"\n fi\n else\n echo \"[Infer RoCE] No active HCAs found,\ [e2e-llm-inference-service] \ skipping GID_INDEX inference.\"\n fi\nfi\n\n# --disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ landed in vLLM 0.16.0 (vllm-project/vllm#30011).\n# Older versions still\ [e2e-llm-inference-service] \ need the blanket --disable-uvicorn-access-log.\nACCESS_LOG_ARGS=\"--disable-uvicorn-access-log\"\ [e2e-llm-inference-service] \nVLLM_VERSION=$(vllm --version 2>/dev/null | tail -1 | awk '{print $NF}')\n\ [e2e-llm-inference-service] echo \"[access-log-detect] vllm version='${VLLM_VERSION}'\"\nif [[ \"$VLLM_VERSION\"\ [e2e-llm-inference-service] \ =~ ^[0-9]+\\.[0-9]+ ]] && [ \"$(printf '%s\\n%s\\n' \"0.16.0\" \"${VLLM_VERSION}\"\ [e2e-llm-inference-service] \ | sort -V | head -1)\" = \"0.16.0\" ]; then\n ACCESS_LOG_ARGS=\"--disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ /health,/metrics,/ping\"\nfi\necho \"[access-log-detect] selected ACCESS_LOG_ARGS='${ACCESS_LOG_ARGS}'\"\ [e2e-llm-inference-service] \n\n# --shutdown-timeout landed in vLLM 0.18.0 (vllm-project/vllm#36666).\n\ [e2e-llm-inference-service] SHUTDOWN_TIMEOUT_ARGS=\"\"\nif [[ \"$VLLM_VERSION\" =~ ^[0-9]+\\.[0-9]+\ [e2e-llm-inference-service] \ ]] && [ \"$(printf '%s\\n%s\\n' \"0.18.0\" \"${VLLM_VERSION}\" | sort\ [e2e-llm-inference-service] \ -V | head -1)\" = \"0.18.0\" ]; then\n SHUTDOWN_TIMEOUT_ARGS=\"--shutdown-timeout\ [e2e-llm-inference-service] \ 40\"\nfi\n\neval \"exec vllm serve /mnt/models \\\n --served-model-name\ [e2e-llm-inference-service] \ \"facebook/opt-125m\" \"publishers/kserve-ci-e2e-test/models/facebook/opt-125m\"\ [e2e-llm-inference-service] \ \\\n --port 8000 \\\n ${ACCESS_LOG_ARGS} \\\n ${SHUTDOWN_TIMEOUT_ARGS}\ [e2e-llm-inference-service] \ \\\n --enable-ssl-refresh \\\n --ssl-certfile /var/run/kserve/tls/tls.crt\ [e2e-llm-inference-service] \ \\\n --ssl-keyfile /var/run/kserve/tls/tls.key \\\n ${VLLM_ADDITIONAL_ARGS}\ [e2e-llm-inference-service] \ \\\n $@\"" [e2e-llm-inference-service] - -- [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --enable-lora [e2e-llm-inference-service] - --lora-modules [e2e-llm-inference-service] - '''{"name":"lora-adapter-1","path":"/mnt/lora/lora-adapter-1"}''' [e2e-llm-inference-service] - '''{"name":"publishers/kserve-ci-e2e-test/models/lora-adapter-1","path":"/mnt/lora/lora-adapter-1"}''' [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: HOME [e2e-llm-inference-service] value: /home [e2e-llm-inference-service] - name: VLLM_LOGGING_LEVEL [e2e-llm-inference-service] value: DEBUG [e2e-llm-inference-service] - name: VLLM_CPU_KVCACHE_SPACE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: VLLM_ENABLE_V1_MULTIPROCESSING [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: USER [e2e-llm-inference-service] value: nonroot [e2e-llm-inference-service] - name: TORCHINDUCTOR_CACHE_DIR [e2e-llm-inference-service] value: /tmp/torchinductor-cache [e2e-llm-inference-service] - name: HF_HUB_CACHE [e2e-llm-inference-service] value: /models [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '2' [e2e-llm-inference-service] memory: 7Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /mnt [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 10 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 1 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 2 [e2e-llm-inference-service] startupProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 60 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] securityContext: {} [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] status: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] fullyLabeledReplicas: 1 [e2e-llm-inference-service] readyReplicas: 1 [e2e-llm-inference-service] availableReplicas: 1 [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] kind: ReplicaSet [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-router-scheduler-76cdc676b7 [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 57405055-2bfe-44ee-9584-643e3337eff9 [e2e-llm-inference-service] resourceVersion: '29625' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:17:38Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-7ca60146 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 76cdc676b7 [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] deployment.kubernetes.io/desired-replicas: '1' [e2e-llm-inference-service] deployment.kubernetes.io/max-replicas: '1' [e2e-llm-inference-service] deployment.kubernetes.io/revision: '1' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: apps/v1 [e2e-llm-inference-service] kind: Deployment [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-router-scheduler [e2e-llm-inference-service] uid: 823f6996-4e29-4e79-970c-668b890ab0ff [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: '2026-07-07T15:17:38Z' [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/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":"823f6996-4e29-4e79-970c-668b890ab0ff"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:template: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/version: {} [e2e-llm-inference-service] f:certificates.kserve.io/expiration-v2: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:pod-template-hash: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"SSL_CERT_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":5557,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9002,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9003,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9090,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp/tokenizer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"STORAGE_ALLOW_PATTERNS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:serviceAccount: {} [e2e-llm-inference-service] f:serviceAccountName: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tokenizer-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-uds"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-07T15:18:12Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:availableReplicas: {} [e2e-llm-inference-service] f:fullyLabeledReplicas: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:readyReplicas: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-7ca60146 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 76cdc676b7 [e2e-llm-inference-service] template: [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-7ca60146 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 76cdc676b7 [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] app.kubernetes.io/version: 0.9.0 [e2e-llm-inference-service] certificates.kserve.io/expiration-v2: 'true' [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: llmisv3e414c2ba058a022dfd694dbcbac5b51-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-tmp [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] - name: STORAGE_ALLOW_PATTERNS [e2e-llm-inference-service] value: '["tokenizer.json", "tokenizer_config.json", "special_tokens_map.json", [e2e-llm-inference-service] "vocab.json", "merges.txt", "config.json", "generation_config.json"]' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/epp [e2e-llm-inference-service] - --pool-name [e2e-llm-inference-service] - llmisvc-model-fb-opt-125m-with-7ca60146-inference-pool [e2e-llm-inference-service] - --pool-namespace [e2e-llm-inference-service] - kserve-ci-e2e-test [e2e-llm-inference-service] - --zap-encoder [e2e-llm-inference-service] - json [e2e-llm-inference-service] - --grpc-port [e2e-llm-inference-service] - '9002' [e2e-llm-inference-service] - --grpc-health-port [e2e-llm-inference-service] - '9003' [e2e-llm-inference-service] - --enable-cert-reload=true [e2e-llm-inference-service] - --secure-serving=true [e2e-llm-inference-service] - --model-server-metrics-scheme=https [e2e-llm-inference-service] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --config-text [e2e-llm-inference-service] - "apiVersion: inference.networking.x-k8s.io/v1alpha1\nkind: EndpointPickerConfig\n\ [e2e-llm-inference-service] plugins:\n- type: single-profile-handler\n- type: queue-scorer\n- type:\ [e2e-llm-inference-service] \ prefix-cache-scorer\n- type: max-score-picker\n- type: lora-affinity-scorer\n\ [e2e-llm-inference-service] schedulingProfiles:\n- name: default\n plugins:\n - pluginRef: lora-affinity-scorer\n\ [e2e-llm-inference-service] \ weight: 4\n - pluginRef: queue-scorer\n weight: 2\n - pluginRef:\ [e2e-llm-inference-service] \ prefix-cache-scorer\n weight: 3\n - pluginRef: max-score-picker\n" [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] containerPort: 9002 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] containerPort: 9003 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] containerPort: 9090 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] containerPort: 5557 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: SSL_CERT_DIR [e2e-llm-inference-service] value: /var/run/kserve/tls:/var/run/secrets/kubernetes.io/serviceaccount:/etc/pki/tls/certs [e2e-llm-inference-service] resources: [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] mountPath: /tmp/tokenizer [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: liveness [e2e-llm-inference-service] initialDelaySeconds: 5 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: readiness [e2e-llm-inference-service] initialDelaySeconds: 30 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] serviceAccountName: llmisvc-model-fb-opt-125m-with-7ca60146-epp-sa [e2e-llm-inference-service] serviceAccount: llmisvc-model-fb-opt-125m-with-7ca60146-epp-sa [e2e-llm-inference-service] securityContext: {} [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] status: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] fullyLabeledReplicas: 1 [e2e-llm-inference-service] readyReplicas: 1 [e2e-llm-inference-service] availableReplicas: 1 [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] kind: ReplicaSet [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-epp-rb [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: ca94ed7a-34cd-439d-af26-c19b7f5e68d3 [e2e-llm-inference-service] resourceVersion: '28933' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:17:38Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-7ca60146 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146 [e2e-llm-inference-service] uid: 32bc1703-1fbf-4f2e-9cc0-d3f7423bbe9e [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: '2026-07-07T15:17:38Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [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":"32bc1703-1fbf-4f2e-9cc0-d3f7423bbe9e"}: {} [e2e-llm-inference-service] f:roleRef: {} [e2e-llm-inference-service] f:subjects: {} [e2e-llm-inference-service] subjects: [e2e-llm-inference-service] - kind: ServiceAccount [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-epp-sa [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] roleRef: [e2e-llm-inference-service] apiGroup: rbac.authorization.k8s.io [e2e-llm-inference-service] kind: Role [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-epp-role [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] kind: RoleBinding [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-epp-role [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 9756c78b-6f95-4cee-8f93-b3ccb64a7223 [e2e-llm-inference-service] resourceVersion: '28929' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:17:38Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-7ca60146 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146 [e2e-llm-inference-service] uid: 32bc1703-1fbf-4f2e-9cc0-d3f7423bbe9e [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: '2026-07-07T15:17:38Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [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":"32bc1703-1fbf-4f2e-9cc0-d3f7423bbe9e"}: {} [e2e-llm-inference-service] f:rules: {} [e2e-llm-inference-service] rules: [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - '' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - pods [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - inference.networking.k8s.io [e2e-llm-inference-service] - inference.networking.x-k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencepools [e2e-llm-inference-service] - inferenceobjectives [e2e-llm-inference-service] - inferencemodels [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - inference.networking.x-k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencemodelrewrites [e2e-llm-inference-service] - inferencepoolimports [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - discovery.k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - endpointslices [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] - create [e2e-llm-inference-service] - update [e2e-llm-inference-service] - patch [e2e-llm-inference-service] - delete [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - coordination.k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - leases [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] kind: Role [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-epp-service-6mf5z [e2e-llm-inference-service] generateName: llmisvc-model-fb-opt-125m-with-7ca60146-epp-service- [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: be59c0ca-6486-4434-9ef3-d4463017d4c9 [e2e-llm-inference-service] resourceVersion: '29624' [e2e-llm-inference-service] generation: 3 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:17:38Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-7ca60146 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] endpointslice.kubernetes.io/managed-by: endpointslice-controller.k8s.io [e2e-llm-inference-service] kubernetes.io/service-name: llmisvc-model-fb-opt-125m-with-7ca60146-epp-service [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] endpoints.kubernetes.io/last-change-trigger-time: '2026-07-07T15:18:12Z' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: v1 [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-epp-service [e2e-llm-inference-service] uid: e8b0ff71-122d-4ba6-ae1d-3034a89e9c6e [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: '2026-07-07T15:18:12Z' [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":"e8b0ff71-122d-4ba6-ae1d-3034a89e9c6e"}: {} [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] - 10.132.0.47 [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] serving: true [e2e-llm-inference-service] terminating: false [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-router-sche2449j [e2e-llm-inference-service] uid: 9ae96da2-9b07-456a-8d7a-dac03371455e [e2e-llm-inference-service] nodeName: ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] zone: us-east-1a [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9002 [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9090 [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 5557 [e2e-llm-inference-service] apiVersion: discovery.k8s.io/v1 [e2e-llm-inference-service] kind: EndpointSlice [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-workload-svdxqc2 [e2e-llm-inference-service] generateName: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-workload-svc- [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 8417e29c-e0f5-4c3f-a0f6-a3a4ca770aa7 [e2e-llm-inference-service] resourceVersion: '30617' [e2e-llm-inference-service] generation: 3 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:17:38Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-7ca60146 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] endpointslice.kubernetes.io/managed-by: endpointslice-controller.k8s.io [e2e-llm-inference-service] kubernetes.io/service-name: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-workload-svc [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] endpoints.kubernetes.io/last-change-trigger-time: '2026-07-07T15:19:08Z' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: v1 [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-workload-svc [e2e-llm-inference-service] uid: 899c136e-0388-4d34-8318-223291f5513a [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: '2026-07-07T15:19:08Z' [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":"899c136e-0388-4d34-8318-223291f5513a"}: {} [e2e-llm-inference-service] f:ports: {} [e2e-llm-inference-service] addressType: IPv4 [e2e-llm-inference-service] endpoints: [e2e-llm-inference-service] - addresses: [e2e-llm-inference-service] - 10.134.0.37 [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] serving: true [e2e-llm-inference-service] terminating: false [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-855b7d474b-8hjhw [e2e-llm-inference-service] uid: 378089fd-c65c-4c08-bc64-ff52a7515a39 [e2e-llm-inference-service] nodeName: ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] zone: us-east-1a [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: https [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] appProtocol: https [e2e-llm-inference-service] apiVersion: discovery.k8s.io/v1 [e2e-llm-inference-service] kind: EndpointSlice [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-epp-rb [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: ca94ed7a-34cd-439d-af26-c19b7f5e68d3 [e2e-llm-inference-service] resourceVersion: '28933' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:17:38Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-7ca60146 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146 [e2e-llm-inference-service] uid: 32bc1703-1fbf-4f2e-9cc0-d3f7423bbe9e [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: '2026-07-07T15:17:38Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [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":"32bc1703-1fbf-4f2e-9cc0-d3f7423bbe9e"}: {} [e2e-llm-inference-service] f:roleRef: {} [e2e-llm-inference-service] f:subjects: {} [e2e-llm-inference-service] userNames: [e2e-llm-inference-service] - system:serviceaccount:kserve-ci-e2e-test:llmisvc-model-fb-opt-125m-with-7ca60146-epp-sa [e2e-llm-inference-service] groupNames: null [e2e-llm-inference-service] subjects: [e2e-llm-inference-service] - kind: ServiceAccount [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-epp-sa [e2e-llm-inference-service] roleRef: [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-epp-role [e2e-llm-inference-service] apiVersion: authorization.openshift.io/v1 [e2e-llm-inference-service] kind: RoleBinding [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-epp-role [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 9756c78b-6f95-4cee-8f93-b3ccb64a7223 [e2e-llm-inference-service] resourceVersion: '28929' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:17:38Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-7ca60146 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146 [e2e-llm-inference-service] uid: 32bc1703-1fbf-4f2e-9cc0-d3f7423bbe9e [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: '2026-07-07T15:17:38Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [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":"32bc1703-1fbf-4f2e-9cc0-d3f7423bbe9e"}: {} [e2e-llm-inference-service] f:rules: {} [e2e-llm-inference-service] rules: [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - '' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - pods [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - inference.networking.k8s.io [e2e-llm-inference-service] - inference.networking.x-k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencemodels [e2e-llm-inference-service] - inferenceobjectives [e2e-llm-inference-service] - inferencepools [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - inference.networking.x-k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencemodelrewrites [e2e-llm-inference-service] - inferencepoolimports [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - discovery.k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - endpointslices [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - create [e2e-llm-inference-service] - delete [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - patch [e2e-llm-inference-service] - update [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - coordination.k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - leases [e2e-llm-inference-service] apiVersion: authorization.openshift.io/v1 [e2e-llm-inference-service] kind: Role [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: gateway.networking.k8s.io/v1 [e2e-llm-inference-service] kind: HTTPRoute [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] serving.kserve.io/inference-pool-migrated: v1 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:17:38Z' [e2e-llm-inference-service] generation: 2 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-7ca60146 [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":"32bc1703-1fbf-4f2e-9cc0-d3f7423bbe9e"}: {} [e2e-llm-inference-service] f:spec: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-07T15:17:58Z' [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: '2026-07-07T15:17:58Z' [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: '2026-07-07T15:17:58Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-route [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146 [e2e-llm-inference-service] uid: 32bc1703-1fbf-4f2e-9cc0-d3f7423bbe9e [e2e-llm-inference-service] resourceVersion: '29403' [e2e-llm-inference-service] uid: 9512c48f-7a4a-4de7-ac36-2bf9b8ba074d [e2e-llm-inference-service] spec: [e2e-llm-inference-service] parentRefs: [e2e-llm-inference-service] - group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] rules: [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/completions [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146/v1/completions [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/completions [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/completions/ [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/lora-adapter-1 [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/completions [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/lora-adapter-1 [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/completions/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/chat/completions [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146/v1/chat/completions [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/chat/completions [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/chat/completions/ [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/lora-adapter-1 [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/chat/completions [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/lora-adapter-1 [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/chat/completions/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/responses [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146/v1/responses [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/responses [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/responses/ [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/lora-adapter-1 [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/responses [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/lora-adapter-1 [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/responses/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/messages [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146/v1/messages [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/messages [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/messages/ [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/lora-adapter-1 [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/messages [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/lora-adapter-1 [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/messages/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-workload-svc [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: / [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146 [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-workload-svc [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: / [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/lora-adapter-1 [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: / [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] status: [e2e-llm-inference-service] parents: [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T15:17:38Z' [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: '2026-07-07T15:17:58Z' [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: '2026-07-07T15:17:39Z' [e2e-llm-inference-service] message: Object affected by AuthPolicy [kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-route-authn [e2e-llm-inference-service] openshift-ingress/openshift-ai-inference-authn] [e2e-llm-inference-service] observedGeneration: 2 [e2e-llm-inference-service] reason: Accepted [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: kuadrant.io/AuthPolicyAffected [e2e-llm-inference-service] controllerName: kuadrant.io/policy-controller [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: gateway.networking.k8s.io/v1beta1 [e2e-llm-inference-service] kind: HTTPRoute [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] serving.kserve.io/inference-pool-migrated: v1 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:17:38Z' [e2e-llm-inference-service] generation: 2 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-7ca60146 [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":"32bc1703-1fbf-4f2e-9cc0-d3f7423bbe9e"}: {} [e2e-llm-inference-service] f:spec: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-07T15:17:58Z' [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: '2026-07-07T15:17:58Z' [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: '2026-07-07T15:17:58Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-route [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146 [e2e-llm-inference-service] uid: 32bc1703-1fbf-4f2e-9cc0-d3f7423bbe9e [e2e-llm-inference-service] resourceVersion: '29403' [e2e-llm-inference-service] uid: 9512c48f-7a4a-4de7-ac36-2bf9b8ba074d [e2e-llm-inference-service] spec: [e2e-llm-inference-service] parentRefs: [e2e-llm-inference-service] - group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] rules: [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/completions [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146/v1/completions [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/completions [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/completions/ [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/lora-adapter-1 [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/completions [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/lora-adapter-1 [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/completions/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/chat/completions [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146/v1/chat/completions [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/chat/completions [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/chat/completions/ [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/lora-adapter-1 [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/chat/completions [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/lora-adapter-1 [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/chat/completions/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/responses [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146/v1/responses [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/responses [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/responses/ [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/lora-adapter-1 [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/responses [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/lora-adapter-1 [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/responses/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/messages [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146/v1/messages [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/messages [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/messages/ [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/lora-adapter-1 [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/messages [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/lora-adapter-1 [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/messages/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-workload-svc [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: / [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146 [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-workload-svc [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: / [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/lora-adapter-1 [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: / [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] status: [e2e-llm-inference-service] parents: [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T15:17:38Z' [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: '2026-07-07T15:17:58Z' [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: '2026-07-07T15:17:39Z' [e2e-llm-inference-service] message: Object affected by AuthPolicy [kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-route-authn [e2e-llm-inference-service] openshift-ingress/openshift-ai-inference-authn] [e2e-llm-inference-service] observedGeneration: 2 [e2e-llm-inference-service] reason: Accepted [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: kuadrant.io/AuthPolicyAffected [e2e-llm-inference-service] controllerName: kuadrant.io/policy-controller [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: inference.networking.k8s.io/v1 [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:17:38Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-7ca60146 [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":"32bc1703-1fbf-4f2e-9cc0-d3f7423bbe9e"}: {} [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: '2026-07-07T15:17:38Z' [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: '2026-07-07T15:17:58Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-inference-pool [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146 [e2e-llm-inference-service] uid: 32bc1703-1fbf-4f2e-9cc0-d3f7423bbe9e [e2e-llm-inference-service] resourceVersion: '29383' [e2e-llm-inference-service] uid: be984de2-2e25-42b8-82b1-85e25dc4aab7 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] appProtocol: http [e2e-llm-inference-service] endpointPickerRef: [e2e-llm-inference-service] failureMode: FailOpen [e2e-llm-inference-service] group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-epp-service [e2e-llm-inference-service] port: [e2e-llm-inference-service] number: 9002 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-7ca60146 [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: '2026-07-07T15:17:58Z' [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: '2026-07-07T15:17:58Z' [e2e-llm-inference-service] message: Referenced ExtensionRef resolved successfully [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] reason: ResolvedRefs [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: ResolvedRefs [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: networking.istio.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: kuadrant.io/v1 [e2e-llm-inference-service] kind: AuthPolicy [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:17:39Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-policies [e2e-llm-inference-service] app.kubernetes.io/managed-by: odh-model-controller [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-7ca60146 [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":"32bc1703-1fbf-4f2e-9cc0-d3f7423bbe9e"}: {} [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: '2026-07-07T15:17:39Z' [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: '2026-07-07T15:17:41Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-route-authn [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146 [e2e-llm-inference-service] uid: 32bc1703-1fbf-4f2e-9cc0-d3f7423bbe9e [e2e-llm-inference-service] resourceVersion: '29081' [e2e-llm-inference-service] uid: b45c478d-b9b6-4ed5-ac80-b17e67dd02e4 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] rules: [e2e-llm-inference-service] authentication: [e2e-llm-inference-service] public: [e2e-llm-inference-service] anonymous: {} [e2e-llm-inference-service] credentials: {} [e2e-llm-inference-service] metrics: false [e2e-llm-inference-service] overrides: [e2e-llm-inference-service] fairness: [e2e-llm-inference-service] value: unauthenticated [e2e-llm-inference-service] objective: [e2e-llm-inference-service] value: unauthenticated [e2e-llm-inference-service] priority: 0 [e2e-llm-inference-service] response: [e2e-llm-inference-service] success: [e2e-llm-inference-service] headers: [e2e-llm-inference-service] x-gateway-inference-fairness-id: [e2e-llm-inference-service] metrics: false [e2e-llm-inference-service] plain: [e2e-llm-inference-service] expression: auth.identity.fairness [e2e-llm-inference-service] priority: 0 [e2e-llm-inference-service] x-gateway-inference-objective: [e2e-llm-inference-service] metrics: false [e2e-llm-inference-service] plain: [e2e-llm-inference-service] expression: auth.identity.objective [e2e-llm-inference-service] priority: 0 [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: HTTPRoute [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-route [e2e-llm-inference-service] status: [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T15:17:40Z' [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: '2026-07-07T15:17:41Z' [e2e-llm-inference-service] message: AuthPolicy has been successfully enforced [e2e-llm-inference-service] reason: Enforced [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: Enforced [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:17:38Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-7ca60146 [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":"32bc1703-1fbf-4f2e-9cc0-d3f7423bbe9e"}: {} [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: '2026-07-07T15:17:38Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-scheduler [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146 [e2e-llm-inference-service] uid: 32bc1703-1fbf-4f2e-9cc0-d3f7423bbe9e [e2e-llm-inference-service] resourceVersion: '28973' [e2e-llm-inference-service] uid: 324a12c8-66b2-4bea-af4b-2b86ebd66bc0 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-model-fb-opt-125m-with-7ca60146-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-model-fb-opt-125m-with-7ca60146-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:17:58Z' [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-fb-opt-125m-with-7ca60146 [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":"32bc1703-1fbf-4f2e-9cc0-d3f7423bbe9e"}: {} [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: '2026-07-07T15:17:58Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-shadow-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146 [e2e-llm-inference-service] uid: 32bc1703-1fbf-4f2e-9cc0-d3f7423bbe9e [e2e-llm-inference-service] resourceVersion: '29390' [e2e-llm-inference-service] uid: 1b147db4-a858-400c-ae0d-59724b0265c5 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-model-fb-opt-125m-with-7ca60146-inference-p-ip-16c62f55.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:17:39Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-7ca60146 [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":"32bc1703-1fbf-4f2e-9cc0-d3f7423bbe9e"}: {} [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: '2026-07-07T15:17:39Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146 [e2e-llm-inference-service] uid: 32bc1703-1fbf-4f2e-9cc0-d3f7423bbe9e [e2e-llm-inference-service] resourceVersion: '29023' [e2e-llm-inference-service] uid: 1a457db5-3761-4fee-a921-2ae780e5ee04 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] caCertificates: /var/run/secrets/kubernetes.io/serviceaccount/service-ca.crt [e2e-llm-inference-service] insecureSkipVerify: false [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1beta1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:17:38Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-7ca60146 [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":"32bc1703-1fbf-4f2e-9cc0-d3f7423bbe9e"}: {} [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: '2026-07-07T15:17:38Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-scheduler [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146 [e2e-llm-inference-service] uid: 32bc1703-1fbf-4f2e-9cc0-d3f7423bbe9e [e2e-llm-inference-service] resourceVersion: '28973' [e2e-llm-inference-service] uid: 324a12c8-66b2-4bea-af4b-2b86ebd66bc0 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-model-fb-opt-125m-with-7ca60146-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-model-fb-opt-125m-with-7ca60146-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1beta1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:17:58Z' [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-fb-opt-125m-with-7ca60146 [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":"32bc1703-1fbf-4f2e-9cc0-d3f7423bbe9e"}: {} [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: '2026-07-07T15:17:58Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-shadow-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146 [e2e-llm-inference-service] uid: 32bc1703-1fbf-4f2e-9cc0-d3f7423bbe9e [e2e-llm-inference-service] resourceVersion: '29390' [e2e-llm-inference-service] uid: 1b147db4-a858-400c-ae0d-59724b0265c5 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-model-fb-opt-125m-with-7ca60146-inference-p-ip-16c62f55.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1beta1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:17:39Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-7ca60146 [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":"32bc1703-1fbf-4f2e-9cc0-d3f7423bbe9e"}: {} [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: '2026-07-07T15:17:39Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146 [e2e-llm-inference-service] uid: 32bc1703-1fbf-4f2e-9cc0-d3f7423bbe9e [e2e-llm-inference-service] resourceVersion: '29023' [e2e-llm-inference-service] uid: 1a457db5-3761-4fee-a921-2ae780e5ee04 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] caCertificates: /var/run/secrets/kubernetes.io/serviceaccount/service-ca.crt [e2e-llm-inference-service] insecureSkipVerify: false [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1alpha3 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:17:38Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-7ca60146 [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":"32bc1703-1fbf-4f2e-9cc0-d3f7423bbe9e"}: {} [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: '2026-07-07T15:17:38Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-scheduler [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146 [e2e-llm-inference-service] uid: 32bc1703-1fbf-4f2e-9cc0-d3f7423bbe9e [e2e-llm-inference-service] resourceVersion: '28973' [e2e-llm-inference-service] uid: 324a12c8-66b2-4bea-af4b-2b86ebd66bc0 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-model-fb-opt-125m-with-7ca60146-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-model-fb-opt-125m-with-7ca60146-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1alpha3 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:17:58Z' [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-fb-opt-125m-with-7ca60146 [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":"32bc1703-1fbf-4f2e-9cc0-d3f7423bbe9e"}: {} [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: '2026-07-07T15:17:58Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-shadow-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146 [e2e-llm-inference-service] uid: 32bc1703-1fbf-4f2e-9cc0-d3f7423bbe9e [e2e-llm-inference-service] resourceVersion: '29390' [e2e-llm-inference-service] uid: 1b147db4-a858-400c-ae0d-59724b0265c5 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-model-fb-opt-125m-with-7ca60146-inference-p-ip-16c62f55.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1alpha3 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:17:39Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-7ca60146 [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":"32bc1703-1fbf-4f2e-9cc0-d3f7423bbe9e"}: {} [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: '2026-07-07T15:17:39Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146 [e2e-llm-inference-service] uid: 32bc1703-1fbf-4f2e-9cc0-d3f7423bbe9e [e2e-llm-inference-service] resourceVersion: '29023' [e2e-llm-inference-service] uid: 1a457db5-3761-4fee-a921-2ae780e5ee04 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] caCertificates: /var/run/secrets/kubernetes.io/serviceaccount/service-ca.crt [e2e-llm-inference-service] insecureSkipVerify: false [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: inference.networking.x-k8s.io/v1alpha2 [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:17:38Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-7ca60146 [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":"32bc1703-1fbf-4f2e-9cc0-d3f7423bbe9e"}: {} [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: '2026-07-07T15:17:38Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-inference-pool [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146 [e2e-llm-inference-service] uid: 32bc1703-1fbf-4f2e-9cc0-d3f7423bbe9e [e2e-llm-inference-service] resourceVersion: '28948' [e2e-llm-inference-service] uid: c0f57773-97c3-481e-9ecb-9bed8e30486c [e2e-llm-inference-service] spec: [e2e-llm-inference-service] extensionRef: [e2e-llm-inference-service] failureMode: FailOpen [e2e-llm-inference-service] group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-epp-service [e2e-llm-inference-service] portNumber: 9002 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-7ca60146 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] targetPortNumber: 8000 [e2e-llm-inference-service] status: [e2e-llm-inference-service] parent: [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '1970-01-01T00:00:00Z' [e2e-llm-inference-service] message: Waiting for controller [e2e-llm-inference-service] reason: Pending [e2e-llm-inference-service] status: Unknown [e2e-llm-inference-service] type: Accepted [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Status [e2e-llm-inference-service] name: default [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-855b7d474b-8hjhw [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:34:15Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-7ca60146 [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: 855b7d474b [e2e-llm-inference-service] timestamp: '2026-07-07T15:33:49Z' [e2e-llm-inference-service] window: 15.434s [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] usage: [e2e-llm-inference-service] cpu: 111758260n [e2e-llm-inference-service] memory: 2321888Ki [e2e-llm-inference-service] apiVersion: metrics.k8s.io/v1beta1 [e2e-llm-inference-service] kind: PodMetrics [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-router-sche2449j [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:34:15Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-7ca60146 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 76cdc676b7 [e2e-llm-inference-service] timestamp: '2026-07-07T15:34:03Z' [e2e-llm-inference-service] window: 17.492s [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] usage: [e2e-llm-inference-service] cpu: 57638577n [e2e-llm-inference-service] memory: 31564Ki [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] [2026-07-07T15:34:15.980896] end - ❌ 1006.617s: ❌ Failed to call model: HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Max retries exceeded with url: /v1/completions (Caused by ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")) [e2e-llm-inference-service] _ test_llm_inference_service[router-custom-route-timeout-scheduler-managed-workload-single-cpu-model-fb-opt-125m] _ [e2e-llm-inference-service] [gw0] linux -- Python 3.11.13 /workspace/source/python/kserve/.venv/bin/python [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] conn = [e2e-llm-inference-service] method = 'POST' [e2e-llm-inference-service] url = '/kserve-ci-e2e-test/custom-route-timeout-test/v1/completions' [e2e-llm-inference-service] body = b'{"model": "facebook/opt-125m", "prompt": "KServe is a", "max_tokens": 20}' [e2e-llm-inference-service] headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive', 'Content-Type': 'application/json', 'Content-Length': '73'} [e2e-llm-inference-service] retries = Retry(total=0, connect=None, read=None, redirect=None, status=None) [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), chunked = False [e2e-llm-inference-service] response_conn = [e2e-llm-inference-service] preload_content = False, decode_content = False, 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] # conn.request() calls http.client.*.request, not the method in [e2e-llm-inference-service] # urllib3.request. It also calls makefile (recv) on the socket. [e2e-llm-inference-service] try: [e2e-llm-inference-service] conn.request( [e2e-llm-inference-service] method, [e2e-llm-inference-service] url, [e2e-llm-inference-service] body=body, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] chunked=chunked, [e2e-llm-inference-service] preload_content=preload_content, [e2e-llm-inference-service] decode_content=decode_content, [e2e-llm-inference-service] enforce_content_length=enforce_content_length, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] # We are swallowing BrokenPipeError (errno.EPIPE) since the server is [e2e-llm-inference-service] # legitimately able to close the connection after sending a valid response. [e2e-llm-inference-service] # With this behaviour, the received response is still readable. [e2e-llm-inference-service] except BrokenPipeError: [e2e-llm-inference-service] pass [e2e-llm-inference-service] except OSError as e: [e2e-llm-inference-service] # MacOS/Linux [e2e-llm-inference-service] # EPROTOTYPE and ECONNRESET are needed on macOS [e2e-llm-inference-service] # https://erickt.github.io/blog/2014/11/19/adventures-in-debugging-a-potential-osx-kernel-bug/ [e2e-llm-inference-service] # Condition changed later to emit ECONNRESET instead of only EPROTOTYPE. [e2e-llm-inference-service] if e.errno != errno.EPROTOTYPE and e.errno != errno.ECONNRESET: [e2e-llm-inference-service] raise [e2e-llm-inference-service] [e2e-llm-inference-service] # Reset the timeout for the recv() on the socket [e2e-llm-inference-service] read_timeout = timeout_obj.read_timeout [e2e-llm-inference-service] [e2e-llm-inference-service] if not conn.is_closed: [e2e-llm-inference-service] # In Python 3 socket.py will catch EAGAIN and return None when you [e2e-llm-inference-service] # try and read into the file pointer created by http.client, which [e2e-llm-inference-service] # instead raises a BadStatusLine exception. Instead of catching [e2e-llm-inference-service] # the exception and assuming all BadStatusLine exceptions are read [e2e-llm-inference-service] # timeouts, check for a zero timeout before making the request. [e2e-llm-inference-service] if read_timeout == 0: [e2e-llm-inference-service] raise ReadTimeoutError( [e2e-llm-inference-service] self, url, f"Read timed out. (read timeout={read_timeout})" [e2e-llm-inference-service] ) [e2e-llm-inference-service] conn.timeout = read_timeout [e2e-llm-inference-service] [e2e-llm-inference-service] # Receive the response from the server [e2e-llm-inference-service] try: [e2e-llm-inference-service] > response = conn.getresponse() [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:534: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] [e2e-llm-inference-service] def getresponse( # type: ignore[override] [e2e-llm-inference-service] self, [e2e-llm-inference-service] ) -> HTTPResponse: [e2e-llm-inference-service] """ [e2e-llm-inference-service] Get the response from the server. [e2e-llm-inference-service] [e2e-llm-inference-service] If the HTTPConnection is in the correct state, returns an instance of HTTPResponse or of whatever object is returned by the response_class variable. [e2e-llm-inference-service] [e2e-llm-inference-service] If a request has not been sent or if a previous response has not be handled, ResponseNotReady is raised. If the HTTP response indicates that the connection should be closed, then it will be closed before the response is returned. When the connection is closed, the underlying socket is closed. [e2e-llm-inference-service] """ [e2e-llm-inference-service] # Raise the same error as http.client.HTTPConnection [e2e-llm-inference-service] if self._response_options is None: [e2e-llm-inference-service] raise ResponseNotReady() [e2e-llm-inference-service] [e2e-llm-inference-service] # Reset this attribute for being used again. [e2e-llm-inference-service] resp_options = self._response_options [e2e-llm-inference-service] self._response_options = None [e2e-llm-inference-service] [e2e-llm-inference-service] # Since the connection's timeout value may have been updated [e2e-llm-inference-service] # we need to set the timeout on the socket. [e2e-llm-inference-service] self.sock.settimeout(self.timeout) [e2e-llm-inference-service] [e2e-llm-inference-service] # This is needed here to avoid circular import errors [e2e-llm-inference-service] from .response import HTTPResponse [e2e-llm-inference-service] [e2e-llm-inference-service] # Save a reference to the shutdown function before ownership is passed [e2e-llm-inference-service] # to httplib_response [e2e-llm-inference-service] # TODO should we implement it everywhere? [e2e-llm-inference-service] _shutdown = getattr(self.sock, "shutdown", None) [e2e-llm-inference-service] [e2e-llm-inference-service] # Get the response from http.client.HTTPConnection [e2e-llm-inference-service] > httplib_response = super().getresponse() [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connection.py:571: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] [e2e-llm-inference-service] def getresponse(self): [e2e-llm-inference-service] """Get the response from the server. [e2e-llm-inference-service] [e2e-llm-inference-service] If the HTTPConnection is in the correct state, returns an [e2e-llm-inference-service] instance of HTTPResponse or of whatever object is returned by [e2e-llm-inference-service] the response_class variable. [e2e-llm-inference-service] [e2e-llm-inference-service] If a request has not been sent or if a previous response has [e2e-llm-inference-service] not be handled, ResponseNotReady is raised. If the HTTP [e2e-llm-inference-service] response indicates that the connection should be closed, then [e2e-llm-inference-service] it will be closed before the response is returned. When the [e2e-llm-inference-service] connection is closed, the underlying socket is closed. [e2e-llm-inference-service] """ [e2e-llm-inference-service] [e2e-llm-inference-service] # if a prior response has been completed, then forget about it. [e2e-llm-inference-service] if self.__response and self.__response.isclosed(): [e2e-llm-inference-service] self.__response = None [e2e-llm-inference-service] [e2e-llm-inference-service] # if a prior response exists, then it must be completed (otherwise, we [e2e-llm-inference-service] # cannot read this response's header to determine the connection-close [e2e-llm-inference-service] # behavior) [e2e-llm-inference-service] # [e2e-llm-inference-service] # note: if a prior response existed, but was connection-close, then the [e2e-llm-inference-service] # socket and response were made independent of this HTTPConnection [e2e-llm-inference-service] # object since a new request requires that we open a whole new [e2e-llm-inference-service] # connection [e2e-llm-inference-service] # [e2e-llm-inference-service] # this means the prior response had one of two states: [e2e-llm-inference-service] # 1) will_close: this connection was reset and the prior socket and [e2e-llm-inference-service] # response operate independently [e2e-llm-inference-service] # 2) persistent: the response was retained and we await its [e2e-llm-inference-service] # isclosed() status to become true. [e2e-llm-inference-service] # [e2e-llm-inference-service] if self.__state != _CS_REQ_SENT or self.__response: [e2e-llm-inference-service] raise ResponseNotReady(self.__state) [e2e-llm-inference-service] [e2e-llm-inference-service] if self.debuglevel > 0: [e2e-llm-inference-service] response = self.response_class(self.sock, self.debuglevel, [e2e-llm-inference-service] method=self._method) [e2e-llm-inference-service] else: [e2e-llm-inference-service] response = self.response_class(self.sock, method=self._method) [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] try: [e2e-llm-inference-service] > response.begin() [e2e-llm-inference-service] [e2e-llm-inference-service] /usr/lib64/python3.11/http/client.py:1395: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] [e2e-llm-inference-service] def begin(self): [e2e-llm-inference-service] if self.headers is not None: [e2e-llm-inference-service] # we've already started reading the response [e2e-llm-inference-service] return [e2e-llm-inference-service] [e2e-llm-inference-service] # read until we get a non-100 response [e2e-llm-inference-service] while True: [e2e-llm-inference-service] > version, status, reason = self._read_status() [e2e-llm-inference-service] [e2e-llm-inference-service] /usr/lib64/python3.11/http/client.py:325: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] [e2e-llm-inference-service] def _read_status(self): [e2e-llm-inference-service] > line = str(self.fp.readline(_MAXLINE + 1), "iso-8859-1") [e2e-llm-inference-service] [e2e-llm-inference-service] /usr/lib64/python3.11/http/client.py:286: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] b = [e2e-llm-inference-service] [e2e-llm-inference-service] def readinto(self, b): [e2e-llm-inference-service] """Read up to len(b) bytes into the writable buffer *b* and return [e2e-llm-inference-service] the number of bytes read. If the socket is non-blocking and no bytes [e2e-llm-inference-service] are available, None is returned. [e2e-llm-inference-service] [e2e-llm-inference-service] If *b* is non-empty, a 0 return value indicates that the connection [e2e-llm-inference-service] was shutdown at the other end. [e2e-llm-inference-service] """ [e2e-llm-inference-service] self._checkClosed() [e2e-llm-inference-service] self._checkReadable() [e2e-llm-inference-service] if self._timeout_occurred: [e2e-llm-inference-service] raise OSError("cannot read from timed out object") [e2e-llm-inference-service] while True: [e2e-llm-inference-service] try: [e2e-llm-inference-service] > return self._sock.recv_into(b) [e2e-llm-inference-service] E TimeoutError: timed out [e2e-llm-inference-service] [e2e-llm-inference-service] /usr/lib64/python3.11/socket.py:718: TimeoutError [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' [e2e-llm-inference-service] url = '/kserve-ci-e2e-test/custom-route-timeout-test/v1/completions' [e2e-llm-inference-service] body = b'{"model": "facebook/opt-125m", "prompt": "KServe is a", "max_tokens": 20}' [e2e-llm-inference-service] headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive', 'Content-Type': 'application/json', 'Content-Length': '73'} [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 [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None [e2e-llm-inference-service] release_conn = False, chunked = False, body_pos = None, preload_content = False [e2e-llm-inference-service] decode_content = False, response_kw = {} [e2e-llm-inference-service] parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/kserve-ci-e2e-test/custom-route-timeout-test/v1/completions', query=None, fragment=None) [e2e-llm-inference-service] destination_scheme = None, conn = None, release_this_conn = True [e2e-llm-inference-service] http_tunnel_required = False, err = None, 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] parsed_url = parse_url(url) [e2e-llm-inference-service] destination_scheme = parsed_url.scheme [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] # Ensure that the URL we're connecting to is properly encoded [e2e-llm-inference-service] if url.startswith("/"): [e2e-llm-inference-service] url = to_str(_encode_target(url)) [e2e-llm-inference-service] else: [e2e-llm-inference-service] url = to_str(parsed_url.url) [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:787: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] conn = [e2e-llm-inference-service] method = 'POST' [e2e-llm-inference-service] url = '/kserve-ci-e2e-test/custom-route-timeout-test/v1/completions' [e2e-llm-inference-service] body = b'{"model": "facebook/opt-125m", "prompt": "KServe is a", "max_tokens": 20}' [e2e-llm-inference-service] headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive', 'Content-Type': 'application/json', 'Content-Length': '73'} [e2e-llm-inference-service] retries = Retry(total=0, connect=None, read=None, redirect=None, status=None) [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), chunked = False [e2e-llm-inference-service] response_conn = [e2e-llm-inference-service] preload_content = False, decode_content = False, 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] # conn.request() calls http.client.*.request, not the method in [e2e-llm-inference-service] # urllib3.request. It also calls makefile (recv) on the socket. [e2e-llm-inference-service] try: [e2e-llm-inference-service] conn.request( [e2e-llm-inference-service] method, [e2e-llm-inference-service] url, [e2e-llm-inference-service] body=body, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] chunked=chunked, [e2e-llm-inference-service] preload_content=preload_content, [e2e-llm-inference-service] decode_content=decode_content, [e2e-llm-inference-service] enforce_content_length=enforce_content_length, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] # We are swallowing BrokenPipeError (errno.EPIPE) since the server is [e2e-llm-inference-service] # legitimately able to close the connection after sending a valid response. [e2e-llm-inference-service] # With this behaviour, the received response is still readable. [e2e-llm-inference-service] except BrokenPipeError: [e2e-llm-inference-service] pass [e2e-llm-inference-service] except OSError as e: [e2e-llm-inference-service] # MacOS/Linux [e2e-llm-inference-service] # EPROTOTYPE and ECONNRESET are needed on macOS [e2e-llm-inference-service] # https://erickt.github.io/blog/2014/11/19/adventures-in-debugging-a-potential-osx-kernel-bug/ [e2e-llm-inference-service] # Condition changed later to emit ECONNRESET instead of only EPROTOTYPE. [e2e-llm-inference-service] if e.errno != errno.EPROTOTYPE and e.errno != errno.ECONNRESET: [e2e-llm-inference-service] raise [e2e-llm-inference-service] [e2e-llm-inference-service] # Reset the timeout for the recv() on the socket [e2e-llm-inference-service] read_timeout = timeout_obj.read_timeout [e2e-llm-inference-service] [e2e-llm-inference-service] if not conn.is_closed: [e2e-llm-inference-service] # In Python 3 socket.py will catch EAGAIN and return None when you [e2e-llm-inference-service] # try and read into the file pointer created by http.client, which [e2e-llm-inference-service] # instead raises a BadStatusLine exception. Instead of catching [e2e-llm-inference-service] # the exception and assuming all BadStatusLine exceptions are read [e2e-llm-inference-service] # timeouts, check for a zero timeout before making the request. [e2e-llm-inference-service] if read_timeout == 0: [e2e-llm-inference-service] raise ReadTimeoutError( [e2e-llm-inference-service] self, url, f"Read timed out. (read timeout={read_timeout})" [e2e-llm-inference-service] ) [e2e-llm-inference-service] conn.timeout = read_timeout [e2e-llm-inference-service] [e2e-llm-inference-service] # Receive the response from the server [e2e-llm-inference-service] try: [e2e-llm-inference-service] response = conn.getresponse() [e2e-llm-inference-service] except (BaseSSLError, OSError) as e: [e2e-llm-inference-service] > self._raise_timeout(err=e, url=url, timeout_value=read_timeout) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:536: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] err = TimeoutError('timed out') [e2e-llm-inference-service] url = '/kserve-ci-e2e-test/custom-route-timeout-test/v1/completions' [e2e-llm-inference-service] timeout_value = 60 [e2e-llm-inference-service] [e2e-llm-inference-service] def _raise_timeout( [e2e-llm-inference-service] self, [e2e-llm-inference-service] err: BaseSSLError | OSError | SocketTimeout, [e2e-llm-inference-service] url: str, [e2e-llm-inference-service] timeout_value: _TYPE_TIMEOUT | None, [e2e-llm-inference-service] ) -> None: [e2e-llm-inference-service] """Is the error actually a timeout? Will raise a ReadTimeout or pass""" [e2e-llm-inference-service] [e2e-llm-inference-service] if isinstance(err, SocketTimeout): [e2e-llm-inference-service] > raise ReadTimeoutError( [e2e-llm-inference-service] self, url, f"Read timed out. (read timeout={timeout_value})" [e2e-llm-inference-service] ) from err [e2e-llm-inference-service] E urllib3.exceptions.ReadTimeoutError: HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:367: ReadTimeoutError [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] request = , stream = False [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), verify = '/tmp/ca.crt' [e2e-llm-inference-service] cert = None, proxies = OrderedDict() [e2e-llm-inference-service] [e2e-llm-inference-service] def send( [e2e-llm-inference-service] self, request, stream=False, timeout=None, verify=True, cert=None, proxies=None [e2e-llm-inference-service] ): [e2e-llm-inference-service] """Sends PreparedRequest object. Returns Response object. [e2e-llm-inference-service] [e2e-llm-inference-service] :param request: The :class:`PreparedRequest ` being sent. [e2e-llm-inference-service] :param stream: (optional) Whether to stream the request content. [e2e-llm-inference-service] :param timeout: (optional) How long to wait for the server to send [e2e-llm-inference-service] data before giving up, as a float, or a :ref:`(connect timeout, [e2e-llm-inference-service] read timeout) ` tuple. [e2e-llm-inference-service] :type timeout: float or tuple or urllib3 Timeout object [e2e-llm-inference-service] :param verify: (optional) Either a boolean, in which case it controls whether [e2e-llm-inference-service] we verify the server's TLS certificate, or a string, in which case it [e2e-llm-inference-service] must be a path to a CA bundle to use [e2e-llm-inference-service] :param cert: (optional) Any user-provided SSL certificate to be trusted. [e2e-llm-inference-service] :param proxies: (optional) The proxies dictionary to apply to the request. [e2e-llm-inference-service] :rtype: requests.Response [e2e-llm-inference-service] """ [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] conn = self.get_connection_with_tls_context( [e2e-llm-inference-service] request, verify, proxies=proxies, cert=cert [e2e-llm-inference-service] ) [e2e-llm-inference-service] except LocationValueError as e: [e2e-llm-inference-service] raise InvalidURL(e, request=request) [e2e-llm-inference-service] [e2e-llm-inference-service] self.cert_verify(conn, request.url, verify, cert) [e2e-llm-inference-service] url = self.request_url(request, proxies) [e2e-llm-inference-service] self.add_headers( [e2e-llm-inference-service] request, [e2e-llm-inference-service] stream=stream, [e2e-llm-inference-service] timeout=timeout, [e2e-llm-inference-service] verify=verify, [e2e-llm-inference-service] cert=cert, [e2e-llm-inference-service] proxies=proxies, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] chunked = not (request.body is None or "Content-Length" in request.headers) [e2e-llm-inference-service] [e2e-llm-inference-service] if isinstance(timeout, tuple): [e2e-llm-inference-service] try: [e2e-llm-inference-service] connect, read = timeout [e2e-llm-inference-service] timeout = TimeoutSauce(connect=connect, read=read) [e2e-llm-inference-service] except ValueError: [e2e-llm-inference-service] raise ValueError( [e2e-llm-inference-service] f"Invalid timeout {timeout}. Pass a (connect, read) timeout tuple, " [e2e-llm-inference-service] f"or a single float to set both timeouts to the same value." [e2e-llm-inference-service] ) [e2e-llm-inference-service] elif isinstance(timeout, TimeoutSauce): [e2e-llm-inference-service] pass [e2e-llm-inference-service] else: [e2e-llm-inference-service] timeout = TimeoutSauce(connect=timeout, read=timeout) [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] > resp = conn.urlopen( [e2e-llm-inference-service] method=request.method, [e2e-llm-inference-service] url=url, [e2e-llm-inference-service] body=request.body, [e2e-llm-inference-service] headers=request.headers, [e2e-llm-inference-service] redirect=False, [e2e-llm-inference-service] assert_same_host=False, [e2e-llm-inference-service] preload_content=False, [e2e-llm-inference-service] decode_content=False, [e2e-llm-inference-service] retries=self.max_retries, [e2e-llm-inference-service] timeout=timeout, [e2e-llm-inference-service] chunked=chunked, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/requests/adapters.py:667: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] method = 'POST' [e2e-llm-inference-service] url = '/kserve-ci-e2e-test/custom-route-timeout-test/v1/completions' [e2e-llm-inference-service] body = b'{"model": "facebook/opt-125m", "prompt": "KServe is a", "max_tokens": 20}' [e2e-llm-inference-service] headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive', 'Content-Type': 'application/json', 'Content-Length': '73'} [e2e-llm-inference-service] retries = Retry(total=7, connect=None, read=None, redirect=None, status=None) [e2e-llm-inference-service] redirect = False, assert_same_host = False [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None [e2e-llm-inference-service] release_conn = False, chunked = False, body_pos = None, preload_content = False [e2e-llm-inference-service] decode_content = False, response_kw = {} [e2e-llm-inference-service] parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/kserve-ci-e2e-test/custom-route-timeout-test/v1/completions', query=None, fragment=None) [e2e-llm-inference-service] destination_scheme = None, conn = None, release_this_conn = True [e2e-llm-inference-service] http_tunnel_required = False [e2e-llm-inference-service] err = ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)") [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] parsed_url = parse_url(url) [e2e-llm-inference-service] destination_scheme = parsed_url.scheme [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] # Ensure that the URL we're connecting to is properly encoded [e2e-llm-inference-service] if url.startswith("/"): [e2e-llm-inference-service] url = to_str(_encode_target(url)) [e2e-llm-inference-service] else: [e2e-llm-inference-service] url = to_str(parsed_url.url) [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:871: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] method = 'POST' [e2e-llm-inference-service] url = '/kserve-ci-e2e-test/custom-route-timeout-test/v1/completions' [e2e-llm-inference-service] body = b'{"model": "facebook/opt-125m", "prompt": "KServe is a", "max_tokens": 20}' [e2e-llm-inference-service] headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive', 'Content-Type': 'application/json', 'Content-Length': '73'} [e2e-llm-inference-service] retries = Retry(total=6, connect=None, read=None, redirect=None, status=None) [e2e-llm-inference-service] redirect = False, assert_same_host = False [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None [e2e-llm-inference-service] release_conn = False, chunked = False, body_pos = None, preload_content = False [e2e-llm-inference-service] decode_content = False, response_kw = {} [e2e-llm-inference-service] parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/kserve-ci-e2e-test/custom-route-timeout-test/v1/completions', query=None, fragment=None) [e2e-llm-inference-service] destination_scheme = None, conn = None, release_this_conn = True [e2e-llm-inference-service] http_tunnel_required = False [e2e-llm-inference-service] err = ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)") [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] parsed_url = parse_url(url) [e2e-llm-inference-service] destination_scheme = parsed_url.scheme [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] # Ensure that the URL we're connecting to is properly encoded [e2e-llm-inference-service] if url.startswith("/"): [e2e-llm-inference-service] url = to_str(_encode_target(url)) [e2e-llm-inference-service] else: [e2e-llm-inference-service] url = to_str(parsed_url.url) [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:871: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] method = 'POST' [e2e-llm-inference-service] url = '/kserve-ci-e2e-test/custom-route-timeout-test/v1/completions' [e2e-llm-inference-service] body = b'{"model": "facebook/opt-125m", "prompt": "KServe is a", "max_tokens": 20}' [e2e-llm-inference-service] headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive', 'Content-Type': 'application/json', 'Content-Length': '73'} [e2e-llm-inference-service] retries = Retry(total=5, connect=None, read=None, redirect=None, status=None) [e2e-llm-inference-service] redirect = False, assert_same_host = False [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None [e2e-llm-inference-service] release_conn = False, chunked = False, body_pos = None, preload_content = False [e2e-llm-inference-service] decode_content = False, response_kw = {} [e2e-llm-inference-service] parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/kserve-ci-e2e-test/custom-route-timeout-test/v1/completions', query=None, fragment=None) [e2e-llm-inference-service] destination_scheme = None, conn = None, release_this_conn = True [e2e-llm-inference-service] http_tunnel_required = False [e2e-llm-inference-service] err = ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)") [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] parsed_url = parse_url(url) [e2e-llm-inference-service] destination_scheme = parsed_url.scheme [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] # Ensure that the URL we're connecting to is properly encoded [e2e-llm-inference-service] if url.startswith("/"): [e2e-llm-inference-service] url = to_str(_encode_target(url)) [e2e-llm-inference-service] else: [e2e-llm-inference-service] url = to_str(parsed_url.url) [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:871: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] method = 'POST' [e2e-llm-inference-service] url = '/kserve-ci-e2e-test/custom-route-timeout-test/v1/completions' [e2e-llm-inference-service] body = b'{"model": "facebook/opt-125m", "prompt": "KServe is a", "max_tokens": 20}' [e2e-llm-inference-service] headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive', 'Content-Type': 'application/json', 'Content-Length': '73'} [e2e-llm-inference-service] retries = Retry(total=4, connect=None, read=None, redirect=None, status=None) [e2e-llm-inference-service] redirect = False, assert_same_host = False [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None [e2e-llm-inference-service] release_conn = False, chunked = False, body_pos = None, preload_content = False [e2e-llm-inference-service] decode_content = False, response_kw = {} [e2e-llm-inference-service] parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/kserve-ci-e2e-test/custom-route-timeout-test/v1/completions', query=None, fragment=None) [e2e-llm-inference-service] destination_scheme = None, conn = None, release_this_conn = True [e2e-llm-inference-service] http_tunnel_required = False [e2e-llm-inference-service] err = ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)") [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] parsed_url = parse_url(url) [e2e-llm-inference-service] destination_scheme = parsed_url.scheme [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] # Ensure that the URL we're connecting to is properly encoded [e2e-llm-inference-service] if url.startswith("/"): [e2e-llm-inference-service] url = to_str(_encode_target(url)) [e2e-llm-inference-service] else: [e2e-llm-inference-service] url = to_str(parsed_url.url) [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:871: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] method = 'POST' [e2e-llm-inference-service] url = '/kserve-ci-e2e-test/custom-route-timeout-test/v1/completions' [e2e-llm-inference-service] body = b'{"model": "facebook/opt-125m", "prompt": "KServe is a", "max_tokens": 20}' [e2e-llm-inference-service] headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive', 'Content-Type': 'application/json', 'Content-Length': '73'} [e2e-llm-inference-service] retries = Retry(total=3, connect=None, read=None, redirect=None, status=None) [e2e-llm-inference-service] redirect = False, assert_same_host = False [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None [e2e-llm-inference-service] release_conn = False, chunked = False, body_pos = None, preload_content = False [e2e-llm-inference-service] decode_content = False, response_kw = {} [e2e-llm-inference-service] parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/kserve-ci-e2e-test/custom-route-timeout-test/v1/completions', query=None, fragment=None) [e2e-llm-inference-service] destination_scheme = None, conn = None, release_this_conn = True [e2e-llm-inference-service] http_tunnel_required = False [e2e-llm-inference-service] err = ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)") [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] parsed_url = parse_url(url) [e2e-llm-inference-service] destination_scheme = parsed_url.scheme [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] # Ensure that the URL we're connecting to is properly encoded [e2e-llm-inference-service] if url.startswith("/"): [e2e-llm-inference-service] url = to_str(_encode_target(url)) [e2e-llm-inference-service] else: [e2e-llm-inference-service] url = to_str(parsed_url.url) [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:871: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] method = 'POST' [e2e-llm-inference-service] url = '/kserve-ci-e2e-test/custom-route-timeout-test/v1/completions' [e2e-llm-inference-service] body = b'{"model": "facebook/opt-125m", "prompt": "KServe is a", "max_tokens": 20}' [e2e-llm-inference-service] headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive', 'Content-Type': 'application/json', 'Content-Length': '73'} [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 [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None [e2e-llm-inference-service] release_conn = False, chunked = False, body_pos = None, preload_content = False [e2e-llm-inference-service] decode_content = False, response_kw = {} [e2e-llm-inference-service] parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/kserve-ci-e2e-test/custom-route-timeout-test/v1/completions', query=None, fragment=None) [e2e-llm-inference-service] destination_scheme = None, conn = None, release_this_conn = True [e2e-llm-inference-service] http_tunnel_required = False [e2e-llm-inference-service] err = ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)") [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] parsed_url = parse_url(url) [e2e-llm-inference-service] destination_scheme = parsed_url.scheme [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] # Ensure that the URL we're connecting to is properly encoded [e2e-llm-inference-service] if url.startswith("/"): [e2e-llm-inference-service] url = to_str(_encode_target(url)) [e2e-llm-inference-service] else: [e2e-llm-inference-service] url = to_str(parsed_url.url) [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:871: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] method = 'POST' [e2e-llm-inference-service] url = '/kserve-ci-e2e-test/custom-route-timeout-test/v1/completions' [e2e-llm-inference-service] body = b'{"model": "facebook/opt-125m", "prompt": "KServe is a", "max_tokens": 20}' [e2e-llm-inference-service] headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive', 'Content-Type': 'application/json', 'Content-Length': '73'} [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 [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None [e2e-llm-inference-service] release_conn = False, chunked = False, body_pos = None, preload_content = False [e2e-llm-inference-service] decode_content = False, response_kw = {} [e2e-llm-inference-service] parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/kserve-ci-e2e-test/custom-route-timeout-test/v1/completions', query=None, fragment=None) [e2e-llm-inference-service] destination_scheme = None, conn = None, release_this_conn = True [e2e-llm-inference-service] http_tunnel_required = False [e2e-llm-inference-service] err = ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)") [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] parsed_url = parse_url(url) [e2e-llm-inference-service] destination_scheme = parsed_url.scheme [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] # Ensure that the URL we're connecting to is properly encoded [e2e-llm-inference-service] if url.startswith("/"): [e2e-llm-inference-service] url = to_str(_encode_target(url)) [e2e-llm-inference-service] else: [e2e-llm-inference-service] url = to_str(parsed_url.url) [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:871: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] method = 'POST' [e2e-llm-inference-service] url = '/kserve-ci-e2e-test/custom-route-timeout-test/v1/completions' [e2e-llm-inference-service] body = b'{"model": "facebook/opt-125m", "prompt": "KServe is a", "max_tokens": 20}' [e2e-llm-inference-service] headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive', 'Content-Type': 'application/json', 'Content-Length': '73'} [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 [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None [e2e-llm-inference-service] release_conn = False, chunked = False, body_pos = None, preload_content = False [e2e-llm-inference-service] decode_content = False, response_kw = {} [e2e-llm-inference-service] parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/kserve-ci-e2e-test/custom-route-timeout-test/v1/completions', query=None, fragment=None) [e2e-llm-inference-service] destination_scheme = None, conn = None, release_this_conn = True [e2e-llm-inference-service] http_tunnel_required = False [e2e-llm-inference-service] err = ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)") [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] parsed_url = parse_url(url) [e2e-llm-inference-service] destination_scheme = parsed_url.scheme [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] # Ensure that the URL we're connecting to is properly encoded [e2e-llm-inference-service] if url.startswith("/"): [e2e-llm-inference-service] url = to_str(_encode_target(url)) [e2e-llm-inference-service] else: [e2e-llm-inference-service] url = to_str(parsed_url.url) [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:871: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] method = 'POST' [e2e-llm-inference-service] url = '/kserve-ci-e2e-test/custom-route-timeout-test/v1/completions' [e2e-llm-inference-service] body = b'{"model": "facebook/opt-125m", "prompt": "KServe is a", "max_tokens": 20}' [e2e-llm-inference-service] headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive', 'Content-Type': 'application/json', 'Content-Length': '73'} [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 [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None [e2e-llm-inference-service] release_conn = False, chunked = False, body_pos = None, preload_content = False [e2e-llm-inference-service] decode_content = False, response_kw = {} [e2e-llm-inference-service] parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/kserve-ci-e2e-test/custom-route-timeout-test/v1/completions', query=None, fragment=None) [e2e-llm-inference-service] destination_scheme = None, conn = None, release_this_conn = True [e2e-llm-inference-service] http_tunnel_required = False, err = None, 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] parsed_url = parse_url(url) [e2e-llm-inference-service] destination_scheme = parsed_url.scheme [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] # Ensure that the URL we're connecting to is properly encoded [e2e-llm-inference-service] if url.startswith("/"): [e2e-llm-inference-service] url = to_str(_encode_target(url)) [e2e-llm-inference-service] else: [e2e-llm-inference-service] url = to_str(parsed_url.url) [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:841: [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' [e2e-llm-inference-service] url = '/kserve-ci-e2e-test/custom-route-timeout-test/v1/completions' [e2e-llm-inference-service] response = None [e2e-llm-inference-service] error = ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)") [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: HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Max retries exceeded with url: /kserve-ci-e2e-test/custom-route-timeout-test/v1/completions (Caused by ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/util/retry.py:519: MaxRetryError [e2e-llm-inference-service] [e2e-llm-inference-service] During handling of the above exception, another exception occurred: [e2e-llm-inference-service] [e2e-llm-inference-service] def get_successful_response(): [e2e-llm-inference-service] try: [e2e-llm-inference-service] if test_case.url_getter: [e2e-llm-inference-service] service_url = test_case.url_getter(kserve_client, test_case.llm_service) [e2e-llm-inference-service] else: [e2e-llm-inference-service] service_url = get_llm_service_url(kserve_client, test_case.llm_service) [e2e-llm-inference-service] except Exception as e: [e2e-llm-inference-service] raise AssertionError(f"❌ Failed to get service URL: {e}") from e [e2e-llm-inference-service] [e2e-llm-inference-service] model_url = service_url + test_case.endpoint [e2e-llm-inference-service] [e2e-llm-inference-service] headers = {"Content-Type": "application/json"} [e2e-llm-inference-service] if extra_headers: [e2e-llm-inference-service] headers.update(extra_headers) [e2e-llm-inference-service] [e2e-llm-inference-service] if test_case.payload_formatter is not None: [e2e-llm-inference-service] test_payload = test_case.payload_formatter(test_case) [e2e-llm-inference-service] elif test_case.prompt is not None: [e2e-llm-inference-service] test_payload = { [e2e-llm-inference-service] "model": test_case.model_name [e2e-llm-inference-service] if not extra_headers or MODEL_ROUTING_HEADER not in extra_headers [e2e-llm-inference-service] else extra_headers[MODEL_ROUTING_HEADER], [e2e-llm-inference-service] "prompt": test_case.prompt, [e2e-llm-inference-service] "max_tokens": test_case.max_tokens, [e2e-llm-inference-service] } [e2e-llm-inference-service] else: [e2e-llm-inference-service] test_payload = None [e2e-llm-inference-service] [e2e-llm-inference-service] logger.info(f"Calling LLM service at {model_url} with payload {test_payload}") [e2e-llm-inference-service] try: [e2e-llm-inference-service] if test_payload is not None: [e2e-llm-inference-service] > response = post_with_retry( [e2e-llm-inference-service] model_url, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] json_data=test_payload, [e2e-llm-inference-service] timeout=test_case.response_timeout, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:1095: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] url = 'http://abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com/kserve-ci-e2e-test/custom-route-timeout-test/v1/completions' [e2e-llm-inference-service] [e2e-llm-inference-service] def post_with_retry( [e2e-llm-inference-service] url: str, [e2e-llm-inference-service] *, [e2e-llm-inference-service] headers: Dict = None, [e2e-llm-inference-service] json_data: Union[Dict, List] = None, [e2e-llm-inference-service] data: Union[str, bytes] = None, [e2e-llm-inference-service] stream: bool = False, [e2e-llm-inference-service] timeout: float = None, [e2e-llm-inference-service] total_retries: int = DEFAULT_RETRY_TOTAL, [e2e-llm-inference-service] backoff_factor: float = DEFAULT_RETRY_BACKOFF_FACTOR, [e2e-llm-inference-service] retry_status_codes=DEFAULT_RETRY_STATUS_CODES, [e2e-llm-inference-service] ) -> requests.Response: [e2e-llm-inference-service] """ [e2e-llm-inference-service] Send POST request with retries for transient HTTP and network failures. [e2e-llm-inference-service] """ [e2e-llm-inference-service] if json_data is not None and data is not None: [e2e-llm-inference-service] raise ValueError("Only one of json_data or data can be provided.") [e2e-llm-inference-service] [e2e-llm-inference-service] with _retry_session( [e2e-llm-inference-service] ["POST"], total_retries, backoff_factor, retry_status_codes [e2e-llm-inference-service] ) as session: [e2e-llm-inference-service] > return session.post( [e2e-llm-inference-service] url, [e2e-llm-inference-service] json=json_data, [e2e-llm-inference-service] data=data, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] stream=stream, [e2e-llm-inference-service] timeout=timeout, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] common/http_retry.py:70: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] url = 'http://abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com/kserve-ci-e2e-test/custom-route-timeout-test/v1/completions' [e2e-llm-inference-service] data = None [e2e-llm-inference-service] json = {'max_tokens': 20, 'model': 'facebook/opt-125m', 'prompt': 'KServe is a'} [e2e-llm-inference-service] kwargs = {'headers': {'Content-Type': 'application/json'}, 'stream': False, 'timeout': 60} [e2e-llm-inference-service] [e2e-llm-inference-service] def post(self, url, data=None, json=None, **kwargs): [e2e-llm-inference-service] r"""Sends a POST request. Returns :class:`Response` object. [e2e-llm-inference-service] [e2e-llm-inference-service] :param url: URL for the new :class:`Request` object. [e2e-llm-inference-service] :param data: (optional) Dictionary, list of tuples, bytes, or file-like [e2e-llm-inference-service] object to send in the body of the :class:`Request`. [e2e-llm-inference-service] :param json: (optional) json to send in the body of the :class:`Request`. [e2e-llm-inference-service] :param \*\*kwargs: Optional arguments that ``request`` takes. [e2e-llm-inference-service] :rtype: requests.Response [e2e-llm-inference-service] """ [e2e-llm-inference-service] [e2e-llm-inference-service] > return self.request("POST", url, data=data, json=json, **kwargs) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/requests/sessions.py:637: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = , method = 'POST' [e2e-llm-inference-service] url = 'http://abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com/kserve-ci-e2e-test/custom-route-timeout-test/v1/completions' [e2e-llm-inference-service] params = None, data = None, headers = {'Content-Type': 'application/json'} [e2e-llm-inference-service] cookies = None, files = None, auth = None, timeout = 60, allow_redirects = True [e2e-llm-inference-service] proxies = {}, hooks = None, stream = False, verify = None, cert = None [e2e-llm-inference-service] json = {'max_tokens': 20, 'model': 'facebook/opt-125m', 'prompt': 'KServe is a'} [e2e-llm-inference-service] [e2e-llm-inference-service] def request( [e2e-llm-inference-service] self, [e2e-llm-inference-service] method, [e2e-llm-inference-service] url, [e2e-llm-inference-service] params=None, [e2e-llm-inference-service] data=None, [e2e-llm-inference-service] headers=None, [e2e-llm-inference-service] cookies=None, [e2e-llm-inference-service] files=None, [e2e-llm-inference-service] auth=None, [e2e-llm-inference-service] timeout=None, [e2e-llm-inference-service] allow_redirects=True, [e2e-llm-inference-service] proxies=None, [e2e-llm-inference-service] hooks=None, [e2e-llm-inference-service] stream=None, [e2e-llm-inference-service] verify=None, [e2e-llm-inference-service] cert=None, [e2e-llm-inference-service] json=None, [e2e-llm-inference-service] ): [e2e-llm-inference-service] """Constructs a :class:`Request `, prepares it and sends it. [e2e-llm-inference-service] Returns :class:`Response ` object. [e2e-llm-inference-service] [e2e-llm-inference-service] :param method: method for the new :class:`Request` object. [e2e-llm-inference-service] :param url: URL for the new :class:`Request` object. [e2e-llm-inference-service] :param params: (optional) Dictionary or bytes to be sent in the query [e2e-llm-inference-service] string for the :class:`Request`. [e2e-llm-inference-service] :param data: (optional) Dictionary, list of tuples, bytes, or file-like [e2e-llm-inference-service] object to send in the body of the :class:`Request`. [e2e-llm-inference-service] :param json: (optional) json to send in the body of the [e2e-llm-inference-service] :class:`Request`. [e2e-llm-inference-service] :param headers: (optional) Dictionary of HTTP Headers to send with the [e2e-llm-inference-service] :class:`Request`. [e2e-llm-inference-service] :param cookies: (optional) Dict or CookieJar object to send with the [e2e-llm-inference-service] :class:`Request`. [e2e-llm-inference-service] :param files: (optional) Dictionary of ``'filename': file-like-objects`` [e2e-llm-inference-service] for multipart encoding upload. [e2e-llm-inference-service] :param auth: (optional) Auth tuple or callable to enable [e2e-llm-inference-service] Basic/Digest/Custom HTTP Auth. [e2e-llm-inference-service] :param timeout: (optional) How long to wait for the server to send [e2e-llm-inference-service] data before giving up, as a float, or a :ref:`(connect timeout, [e2e-llm-inference-service] read timeout) ` tuple. [e2e-llm-inference-service] :type timeout: float or tuple [e2e-llm-inference-service] :param allow_redirects: (optional) Set to True by default. [e2e-llm-inference-service] :type allow_redirects: bool [e2e-llm-inference-service] :param proxies: (optional) Dictionary mapping protocol or protocol and [e2e-llm-inference-service] hostname to the URL of the proxy. [e2e-llm-inference-service] :param hooks: (optional) Dictionary mapping hook name to one event or [e2e-llm-inference-service] list of events, event must be callable. [e2e-llm-inference-service] :param stream: (optional) whether to immediately download the response [e2e-llm-inference-service] content. Defaults to ``False``. [e2e-llm-inference-service] :param verify: (optional) Either a boolean, in which case it controls whether we verify [e2e-llm-inference-service] the server's TLS certificate, or a string, in which case it must be a path [e2e-llm-inference-service] to a CA bundle to use. Defaults to ``True``. When set to [e2e-llm-inference-service] ``False``, requests will accept any TLS certificate presented by [e2e-llm-inference-service] the server, and will ignore hostname mismatches and/or expired [e2e-llm-inference-service] certificates, which will make your application vulnerable to [e2e-llm-inference-service] man-in-the-middle (MitM) attacks. Setting verify to ``False`` [e2e-llm-inference-service] may be useful during local development or testing. [e2e-llm-inference-service] :param cert: (optional) if String, path to ssl client cert file (.pem). [e2e-llm-inference-service] If Tuple, ('cert', 'key') pair. [e2e-llm-inference-service] :rtype: requests.Response [e2e-llm-inference-service] """ [e2e-llm-inference-service] # Create the Request. [e2e-llm-inference-service] req = Request( [e2e-llm-inference-service] method=method.upper(), [e2e-llm-inference-service] url=url, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] files=files, [e2e-llm-inference-service] data=data or {}, [e2e-llm-inference-service] json=json, [e2e-llm-inference-service] params=params or {}, [e2e-llm-inference-service] auth=auth, [e2e-llm-inference-service] cookies=cookies, [e2e-llm-inference-service] hooks=hooks, [e2e-llm-inference-service] ) [e2e-llm-inference-service] prep = self.prepare_request(req) [e2e-llm-inference-service] [e2e-llm-inference-service] proxies = proxies or {} [e2e-llm-inference-service] [e2e-llm-inference-service] settings = self.merge_environment_settings( [e2e-llm-inference-service] prep.url, proxies, stream, verify, cert [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] # Send the request. [e2e-llm-inference-service] send_kwargs = { [e2e-llm-inference-service] "timeout": timeout, [e2e-llm-inference-service] "allow_redirects": allow_redirects, [e2e-llm-inference-service] } [e2e-llm-inference-service] send_kwargs.update(settings) [e2e-llm-inference-service] > resp = self.send(prep, **send_kwargs) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/requests/sessions.py:589: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] request = [e2e-llm-inference-service] kwargs = {'cert': None, 'proxies': OrderedDict(), 'stream': False, 'timeout': 60, ...} [e2e-llm-inference-service] allow_redirects = True, stream = False, hooks = {'response': []} [e2e-llm-inference-service] adapter = [e2e-llm-inference-service] start = 1783438482.5115738 [e2e-llm-inference-service] [e2e-llm-inference-service] def send(self, request, **kwargs): [e2e-llm-inference-service] """Send a given PreparedRequest. [e2e-llm-inference-service] [e2e-llm-inference-service] :rtype: requests.Response [e2e-llm-inference-service] """ [e2e-llm-inference-service] # Set defaults that the hooks can utilize to ensure they always have [e2e-llm-inference-service] # the correct parameters to reproduce the previous request. [e2e-llm-inference-service] kwargs.setdefault("stream", self.stream) [e2e-llm-inference-service] kwargs.setdefault("verify", self.verify) [e2e-llm-inference-service] kwargs.setdefault("cert", self.cert) [e2e-llm-inference-service] if "proxies" not in kwargs: [e2e-llm-inference-service] kwargs["proxies"] = resolve_proxies(request, self.proxies, self.trust_env) [e2e-llm-inference-service] [e2e-llm-inference-service] # It's possible that users might accidentally send a Request object. [e2e-llm-inference-service] # Guard against that specific failure case. [e2e-llm-inference-service] if isinstance(request, Request): [e2e-llm-inference-service] raise ValueError("You can only send PreparedRequests.") [e2e-llm-inference-service] [e2e-llm-inference-service] # Set up variables needed for resolve_redirects and dispatching of hooks [e2e-llm-inference-service] allow_redirects = kwargs.pop("allow_redirects", True) [e2e-llm-inference-service] stream = kwargs.get("stream") [e2e-llm-inference-service] hooks = request.hooks [e2e-llm-inference-service] [e2e-llm-inference-service] # Get the appropriate adapter to use [e2e-llm-inference-service] adapter = self.get_adapter(url=request.url) [e2e-llm-inference-service] [e2e-llm-inference-service] # Start time (approximately) of the request [e2e-llm-inference-service] start = preferred_clock() [e2e-llm-inference-service] [e2e-llm-inference-service] # Send the request [e2e-llm-inference-service] > r = adapter.send(request, **kwargs) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/requests/sessions.py:703: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] request = , stream = False [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), verify = '/tmp/ca.crt' [e2e-llm-inference-service] cert = None, proxies = OrderedDict() [e2e-llm-inference-service] [e2e-llm-inference-service] def send( [e2e-llm-inference-service] self, request, stream=False, timeout=None, verify=True, cert=None, proxies=None [e2e-llm-inference-service] ): [e2e-llm-inference-service] """Sends PreparedRequest object. Returns Response object. [e2e-llm-inference-service] [e2e-llm-inference-service] :param request: The :class:`PreparedRequest ` being sent. [e2e-llm-inference-service] :param stream: (optional) Whether to stream the request content. [e2e-llm-inference-service] :param timeout: (optional) How long to wait for the server to send [e2e-llm-inference-service] data before giving up, as a float, or a :ref:`(connect timeout, [e2e-llm-inference-service] read timeout) ` tuple. [e2e-llm-inference-service] :type timeout: float or tuple or urllib3 Timeout object [e2e-llm-inference-service] :param verify: (optional) Either a boolean, in which case it controls whether [e2e-llm-inference-service] we verify the server's TLS certificate, or a string, in which case it [e2e-llm-inference-service] must be a path to a CA bundle to use [e2e-llm-inference-service] :param cert: (optional) Any user-provided SSL certificate to be trusted. [e2e-llm-inference-service] :param proxies: (optional) The proxies dictionary to apply to the request. [e2e-llm-inference-service] :rtype: requests.Response [e2e-llm-inference-service] """ [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] conn = self.get_connection_with_tls_context( [e2e-llm-inference-service] request, verify, proxies=proxies, cert=cert [e2e-llm-inference-service] ) [e2e-llm-inference-service] except LocationValueError as e: [e2e-llm-inference-service] raise InvalidURL(e, request=request) [e2e-llm-inference-service] [e2e-llm-inference-service] self.cert_verify(conn, request.url, verify, cert) [e2e-llm-inference-service] url = self.request_url(request, proxies) [e2e-llm-inference-service] self.add_headers( [e2e-llm-inference-service] request, [e2e-llm-inference-service] stream=stream, [e2e-llm-inference-service] timeout=timeout, [e2e-llm-inference-service] verify=verify, [e2e-llm-inference-service] cert=cert, [e2e-llm-inference-service] proxies=proxies, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] chunked = not (request.body is None or "Content-Length" in request.headers) [e2e-llm-inference-service] [e2e-llm-inference-service] if isinstance(timeout, tuple): [e2e-llm-inference-service] try: [e2e-llm-inference-service] connect, read = timeout [e2e-llm-inference-service] timeout = TimeoutSauce(connect=connect, read=read) [e2e-llm-inference-service] except ValueError: [e2e-llm-inference-service] raise ValueError( [e2e-llm-inference-service] f"Invalid timeout {timeout}. Pass a (connect, read) timeout tuple, " [e2e-llm-inference-service] f"or a single float to set both timeouts to the same value." [e2e-llm-inference-service] ) [e2e-llm-inference-service] elif isinstance(timeout, TimeoutSauce): [e2e-llm-inference-service] pass [e2e-llm-inference-service] else: [e2e-llm-inference-service] timeout = TimeoutSauce(connect=timeout, read=timeout) [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] resp = conn.urlopen( [e2e-llm-inference-service] method=request.method, [e2e-llm-inference-service] url=url, [e2e-llm-inference-service] body=request.body, [e2e-llm-inference-service] headers=request.headers, [e2e-llm-inference-service] redirect=False, [e2e-llm-inference-service] assert_same_host=False, [e2e-llm-inference-service] preload_content=False, [e2e-llm-inference-service] decode_content=False, [e2e-llm-inference-service] retries=self.max_retries, [e2e-llm-inference-service] timeout=timeout, [e2e-llm-inference-service] chunked=chunked, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] except (ProtocolError, OSError) as err: [e2e-llm-inference-service] raise ConnectionError(err, request=request) [e2e-llm-inference-service] [e2e-llm-inference-service] except MaxRetryError as e: [e2e-llm-inference-service] if isinstance(e.reason, ConnectTimeoutError): [e2e-llm-inference-service] # TODO: Remove this in 3.0.0: see #2811 [e2e-llm-inference-service] if not isinstance(e.reason, NewConnectionError): [e2e-llm-inference-service] raise ConnectTimeout(e, request=request) [e2e-llm-inference-service] [e2e-llm-inference-service] if isinstance(e.reason, ResponseError): [e2e-llm-inference-service] raise RetryError(e, request=request) [e2e-llm-inference-service] [e2e-llm-inference-service] if isinstance(e.reason, _ProxyError): [e2e-llm-inference-service] raise ProxyError(e, request=request) [e2e-llm-inference-service] [e2e-llm-inference-service] if isinstance(e.reason, _SSLError): [e2e-llm-inference-service] # This branch is for urllib3 v1.22 and later. [e2e-llm-inference-service] raise SSLError(e, request=request) [e2e-llm-inference-service] [e2e-llm-inference-service] > raise ConnectionError(e, request=request) [e2e-llm-inference-service] E requests.exceptions.ConnectionError: HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Max retries exceeded with url: /kserve-ci-e2e-test/custom-route-timeout-test/v1/completions (Caused by ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/requests/adapters.py:700: ConnectionError [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-custom-route-timeout', 'scheduler-managed', 'workload-single-cpu', 'model-fb-opt-125m'], p... {'name': 'model-fb-opt-125m-custom-route-928a8601'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m') [e2e-llm-inference-service] [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] @pytest.mark.asyncio(loop_scope="session") [e2e-llm-inference-service] @pytest.mark.parametrize( [e2e-llm-inference-service] "test_case", [e2e-llm-inference-service] [ [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-with-gateway-ref", [e2e-llm-inference-service] "router-with-managed-route", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/completions", [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=create_response_assertion(with_field="choices"), [e2e-llm-inference-service] expected_gateway=ROUTER_GATEWAYS[0], [e2e-llm-inference-service] before_test=[ [e2e-llm-inference-service] lambda: create_router_resources( [e2e-llm-inference-service] gateways=[ROUTER_GATEWAYS[0]], [e2e-llm-inference-service] ) [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] pytest.mark.custom_gateway, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-custom-route-timeout", [e2e-llm-inference-service] "scheduler-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="custom-route-timeout-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-with-refs", [e2e-llm-inference-service] "scheduler-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="router-with-refs-test", [e2e-llm-inference-service] expected_gateway=ROUTER_GATEWAYS[0], [e2e-llm-inference-service] before_test=[ [e2e-llm-inference-service] lambda: create_router_resources( [e2e-llm-inference-service] gateways=[ROUTER_GATEWAYS[0]], [e2e-llm-inference-service] routes=[ROUTER_ROUTES[0], ROUTER_ROUTES[1]], [e2e-llm-inference-service] ) [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.custom_gateway, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=["router-managed", "workload-pd-cpu", "model-fb-opt-125m"], [e2e-llm-inference-service] prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. " [e2e-llm-inference-service] "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. " [e2e-llm-inference-service] "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-custom-route-timeout-pd", [e2e-llm-inference-service] "scheduler-managed", [e2e-llm-inference-service] "workload-pd-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. " [e2e-llm-inference-service] "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. " [e2e-llm-inference-service] "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.", [e2e-llm-inference-service] service_name="custom-route-timeout-pd-test", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-with-refs-pd", [e2e-llm-inference-service] "scheduler-managed", [e2e-llm-inference-service] "workload-pd-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. " [e2e-llm-inference-service] "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. " [e2e-llm-inference-service] "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.", [e2e-llm-inference-service] service_name="router-with-refs-pd-test", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] expected_gateway=ROUTER_GATEWAYS[1], [e2e-llm-inference-service] before_test=[ [e2e-llm-inference-service] lambda: create_router_resources( [e2e-llm-inference-service] gateways=[ROUTER_GATEWAYS[1]], [e2e-llm-inference-service] routes=[ROUTER_ROUTES[2], ROUTER_ROUTES[3]], [e2e-llm-inference-service] ) [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.custom_gateway, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-dp-ep-gpu", [e2e-llm-inference-service] "workload-dp-ep-prefill-gpu", [e2e-llm-inference-service] "model-deepseek-v2-lite", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="Delve into the multifaceted implications of a fully disaggregated cloud architecture, specifically " [e2e-llm-inference-service] "where the compute plane (P) and the data plane (D) are independently deployed and managed for a " [e2e-llm-inference-service] "geographically distributed, high-throughput, low-latency microservices ecosystem. Beyond the " [e2e-llm-inference-service] "fundamental challenges of network latency and data consistency, elaborate on the advanced " [e2e-llm-inference-service] "considerations and trade-offs inherent in such a setup: 1. Network Architecture and Protocols: " [e2e-llm-inference-service] "How would the network fabric and underlying protocols (e.g., RDMA, custom transport layers) need to " [e2e-llm-inference-service] "evolve to support optimal performance and minimize inter-plane communication overhead, especially for " [e2e-llm-inference-service] "synchronous operations? Discuss the role of network programmability (e.g., SDN, P4) in dynamically " [e2e-llm-inference-service] "optimizing routing and traffic flow between P and D. 2. Advanced Data Consistency and Durability: " [e2e-llm-inference-service] "Explore sophisticated data consistency models (e.g., causal consistency, strong eventual consistency) " [e2e-llm-inference-service] "and their applicability in balancing performance and data integrity across a globally distributed data plane. " [e2e-llm-inference-service] "Detail strategies for ensuring data durability and fault tolerance, including multi-region replication, " [e2e-llm-inference-service] "intelligent partitioning, and recovery mechanisms in the event of partial or full plane failures. " [e2e-llm-inference-service] "3. Dynamic Resource Orchestration and Cost Optimization: Analyze how an orchestration layer would intelligently " [e2e-llm-inference-service] "manage the independent scaling of compute (P) and data (D) resources, considering fluctuating workloads, " [e2e-llm-inference-service] "cost efficiency, and performance targets (e.g., using predictive analytics for resource provisioning). " [e2e-llm-inference-service] "Discuss mechanisms for dynamically reallocating compute nodes to different data partitions based on " [e2e-llm-inference-service] "workload patterns and data locality, potentially involving live migration strategies. " [e2e-llm-inference-service] "4. Security and Compliance in a Distributed Landscape: Address the enhanced security perimeter " [e2e-llm-inference-service] "challenges, including securing communication channels between P and D (encryption in transit, mutual TLS), " [e2e-llm-inference-service] "fine-grained access control to data at rest and in motion, and identity management across disaggregated " [e2e-llm-inference-service] "components. Discuss how such an architecture impacts compliance with regulatory frameworks (e.g., GDPR, HIPAA) " [e2e-llm-inference-service] "concerning data sovereignty, privacy, and auditability. 5. Operational Complexity and Observability: " [e2e-llm-inference-service] "Examine the increased complexity in monitoring, logging, and tracing across highly decoupled compute and " [e2e-llm-inference-service] "data planes. What specialized tooling and practices (e.g., distributed tracing with OpenTelemetry, advanced AIOps) " [e2e-llm-inference-service] "would be essential? How would incident response and troubleshooting differ in this disaggregated environment " [e2e-llm-inference-service] "compared to traditional integrated systems? Consider the challenges of pinpointing root causes across " [e2e-llm-inference-service] "independent failures. 6. Real-world Applicability and Future Trends: Identify specific industries " [e2e-llm-inference-service] "or use cases (e.g., high-frequency trading, IoT edge processing, large language model inference) " [e2e-llm-inference-service] "where the benefits of P/D disaggregation would strongly outweigh its complexities. " [e2e-llm-inference-service] "Conclude by speculating on emerging technologies or paradigms (e.g., serverless compute functions " [e2e-llm-inference-service] "directly interacting with object storage, in-memory disaggregation) that could further drive or " [e2e-llm-inference-service] "transform P/D disaggregation in cloud computing.", [e2e-llm-inference-service] max_tokens=2000, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_gpu, [e2e-llm-inference-service] pytest.mark.cluster_nvidia, [e2e-llm-inference-service] pytest.mark.cluster_nvidia_roce, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-no-scheduler", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="What is KServe?", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.no_scheduler, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-simulated-dp-ep-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="This test simulates DP+EP that can run on CPU, the idea is to test the LWS-based deployment, " [e2e-llm-inference-service] "but without the resources requirements for DP+EP (GPUs and ROCe/IB).", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_multi_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Scheduler config tests [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-inline-config", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-inline-config-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Chat completions endpoint coverage [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] "model-qwen2.5-0.5b", [e2e-llm-inference-service] ], [e2e-llm-inference-service] model_name="Qwen/Qwen2.5-0.5B-Instruct", [e2e-llm-inference-service] endpoint="/v1/chat/completions", [e2e-llm-inference-service] prompt="What is KServe?", [e2e-llm-inference-service] payload_formatter=chat_completions_payload, [e2e-llm-inference-service] response_assertion=create_response_assertion(with_field="choices"), [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-configmap-ref", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-configmap-ref-test", [e2e-llm-inference-service] before_test=[create_scheduler_configmap], [e2e-llm-inference-service] after_test=[delete_scheduler_configmap], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-replicas", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-ha-replicas-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-custom-template", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-custom-template-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Scheduler v0.6 → v0.7 migration tests. [e2e-llm-inference-service] # Deploy v0.6-style configs and verify the controller migrates them [e2e-llm-inference-service] # so the v0.7 scheduler boots successfully. [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-v06-pd-config-migration", [e2e-llm-inference-service] "workload-llmd-simulator-pd", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-v06-pd-migration-test", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-v06-nonzero-threshold-migration", [e2e-llm-inference-service] "workload-llmd-simulator-pd", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-v06-threshold-migration-test", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Precise prefix KV cache routing test [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-precise-prefix-cache-inline-config", [e2e-llm-inference-service] "workload-llmd-simulator-kvcache", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="precise-prefix-cache-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Models endpoint coverage [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/models", [e2e-llm-inference-service] response_assertion=create_response_assertion(with_field="data"), [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Model-based routing via X-Gateway-Model-Name header — /v1/completions [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/completions", [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches("facebook/opt-125m"), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m", [e2e-llm-inference-service] }, [e2e-llm-inference-service] peers=[ [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] "model-qwen2.5-0.5b", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/completions", [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches( [e2e-llm-inference-service] "Qwen/Qwen2.5-0.5B-Instruct" [e2e-llm-inference-service] ), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/Qwen/Qwen2.5-0.5B-Instruct", [e2e-llm-inference-service] }, [e2e-llm-inference-service] ), [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] pytest.mark.model_routing, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Model-based routing via X-Gateway-Model-Name header — /v1/chat/completions [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/chat/completions", [e2e-llm-inference-service] prompt="What is KServe?", [e2e-llm-inference-service] payload_formatter=chat_completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches("facebook/opt-125m"), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m", [e2e-llm-inference-service] }, [e2e-llm-inference-service] peers=[ [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] "model-qwen2.5-0.5b", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/chat/completions", [e2e-llm-inference-service] prompt="What is KServe?", [e2e-llm-inference-service] payload_formatter=chat_completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches( [e2e-llm-inference-service] "Qwen/Qwen2.5-0.5B-Instruct" [e2e-llm-inference-service] ), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/Qwen/Qwen2.5-0.5B-Instruct", [e2e-llm-inference-service] }, [e2e-llm-inference-service] ), [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] pytest.mark.model_routing, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Model-based routing via X-Gateway-Model-Name header — LoRA adapter [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m-with-lora-hf", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/completions", [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] model_name=f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches( [e2e-llm-inference-service] f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1" [e2e-llm-inference-service] ), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1", [e2e-llm-inference-service] }, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.model_routing, [e2e-llm-inference-service] pytest.mark.lora, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Model-based routing via X-Gateway-Model-Name header — /v1/models (base + LoRA) [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m-with-lora-hf", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/models", [e2e-llm-inference-service] response_assertion=assert_models_contains( [e2e-llm-inference-service] "facebook/opt-125m", [e2e-llm-inference-service] f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m", [e2e-llm-inference-service] "lora-adapter-1", [e2e-llm-inference-service] f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1", [e2e-llm-inference-service] ), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m", [e2e-llm-inference-service] }, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.model_routing, [e2e-llm-inference-service] pytest.mark.lora, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # PVC storage tests -- validate direct PVC volume mount with real vLLM serving [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-pvc", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] before_test=[ensure_pvc_with_model], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.pvc_storage, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-pd-cpu", [e2e-llm-inference-service] "model-pvc", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] before_test=[ensure_pvc_with_model], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.pvc_storage, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-simulated-dp-ep-cpu", [e2e-llm-inference-service] "model-pvc", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] before_test=[ensure_pvc_with_model], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_multi_node, [e2e-llm-inference-service] pytest.mark.pvc_storage, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] ], [e2e-llm-inference-service] indirect=["test_case"], [e2e-llm-inference-service] ids=generate_test_id, [e2e-llm-inference-service] ) [e2e-llm-inference-service] @log_execution [e2e-llm-inference-service] def test_llm_inference_service(test_case: TestCase): # noqa: F811 [e2e-llm-inference-service] inject_k8s_proxy() [e2e-llm-inference-service] [e2e-llm-inference-service] kserve_client = KServeClient( [e2e-llm-inference-service] config_file=os.environ.get("KUBECONFIG", "~/.kube/config"), [e2e-llm-inference-service] client_configuration=client.Configuration(), [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] service_name = test_case.llm_service.metadata.name [e2e-llm-inference-service] if not test_case.llm_service.metadata.annotations: [e2e-llm-inference-service] test_case.llm_service.metadata.annotations = {} [e2e-llm-inference-service] [e2e-llm-inference-service] test_case.llm_service.metadata.annotations[ [e2e-llm-inference-service] "security.opendatahub.io/enable-auth" [e2e-llm-inference-service] ] = "false" [e2e-llm-inference-service] prefix = test_case.log_prefix [e2e-llm-inference-service] [e2e-llm-inference-service] test_failed = False [e2e-llm-inference-service] try: [e2e-llm-inference-service] print(f"{prefix} Creating LLMInferenceService {service_name}") [e2e-llm-inference-service] create_llmisvc(kserve_client, test_case.llm_service) [e2e-llm-inference-service] print(f"{prefix} Waiting for LLMInferenceService {service_name} to be ready") [e2e-llm-inference-service] wait_for_llm_isvc_ready( [e2e-llm-inference-service] kserve_client, test_case.llm_service, test_case.wait_timeout [e2e-llm-inference-service] ) [e2e-llm-inference-service] print(f"{prefix} Waiting for model response from {service_name}") [e2e-llm-inference-service] > wait_for_model_response( [e2e-llm-inference-service] kserve_client, [e2e-llm-inference-service] test_case, [e2e-llm-inference-service] test_case.wait_timeout, [e2e-llm-inference-service] extra_headers=test_case.extra_headers, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:816: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] args = (, TestCase(base_refs=['router-custom-route-timeout', ... {'name': 'model-fb-opt-125m-custom-route-928a8601'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m'), 900) [e2e-llm-inference-service] kwargs = {'extra_headers': None}, func_name = 'wait_for_model_response' [e2e-llm-inference-service] timestamp_start = '2026-07-07T15:34:42.499919', start_time = 1783438482.5003197 [e2e-llm-inference-service] duration = 904.4939193725586, timestamp_end = '2026-07-07T15:49:46.994242' [e2e-llm-inference-service] [e2e-llm-inference-service] @functools.wraps(func) [e2e-llm-inference-service] def wrapper(*args, **kwargs): [e2e-llm-inference-service] func_name = func.__name__ [e2e-llm-inference-service] [e2e-llm-inference-service] timestamp_start = datetime.now().isoformat() [e2e-llm-inference-service] logger.info( [e2e-llm-inference-service] f"[{func_name}] [{timestamp_start}] start - args={args}, kwargs={kwargs}" [e2e-llm-inference-service] ) [e2e-llm-inference-service] start_time = time.time() [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] > result = func(*args, **kwargs) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/logging.py:40: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] kserve_client = [e2e-llm-inference-service] test_case = TestCase(base_refs=['router-custom-route-timeout', 'scheduler-managed', 'workload-single-cpu', 'model-fb-opt-125m'], p... {'name': 'model-fb-opt-125m-custom-route-928a8601'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m') [e2e-llm-inference-service] timeout_seconds = 900, extra_headers = None [e2e-llm-inference-service] [e2e-llm-inference-service] @log_execution [e2e-llm-inference-service] def wait_for_model_response( [e2e-llm-inference-service] kserve_client: KServeClient, [e2e-llm-inference-service] test_case: TestCase, # noqa: F811 [e2e-llm-inference-service] timeout_seconds: int = 900, [e2e-llm-inference-service] extra_headers: Optional[Dict[str, str]] = None, [e2e-llm-inference-service] ) -> str: [e2e-llm-inference-service] def get_successful_response(): [e2e-llm-inference-service] try: [e2e-llm-inference-service] if test_case.url_getter: [e2e-llm-inference-service] service_url = test_case.url_getter(kserve_client, test_case.llm_service) [e2e-llm-inference-service] else: [e2e-llm-inference-service] service_url = get_llm_service_url(kserve_client, test_case.llm_service) [e2e-llm-inference-service] except Exception as e: [e2e-llm-inference-service] raise AssertionError(f"❌ Failed to get service URL: {e}") from e [e2e-llm-inference-service] [e2e-llm-inference-service] model_url = service_url + test_case.endpoint [e2e-llm-inference-service] [e2e-llm-inference-service] headers = {"Content-Type": "application/json"} [e2e-llm-inference-service] if extra_headers: [e2e-llm-inference-service] headers.update(extra_headers) [e2e-llm-inference-service] [e2e-llm-inference-service] if test_case.payload_formatter is not None: [e2e-llm-inference-service] test_payload = test_case.payload_formatter(test_case) [e2e-llm-inference-service] elif test_case.prompt is not None: [e2e-llm-inference-service] test_payload = { [e2e-llm-inference-service] "model": test_case.model_name [e2e-llm-inference-service] if not extra_headers or MODEL_ROUTING_HEADER not in extra_headers [e2e-llm-inference-service] else extra_headers[MODEL_ROUTING_HEADER], [e2e-llm-inference-service] "prompt": test_case.prompt, [e2e-llm-inference-service] "max_tokens": test_case.max_tokens, [e2e-llm-inference-service] } [e2e-llm-inference-service] else: [e2e-llm-inference-service] test_payload = None [e2e-llm-inference-service] [e2e-llm-inference-service] logger.info(f"Calling LLM service at {model_url} with payload {test_payload}") [e2e-llm-inference-service] try: [e2e-llm-inference-service] if test_payload is not None: [e2e-llm-inference-service] response = post_with_retry( [e2e-llm-inference-service] model_url, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] json_data=test_payload, [e2e-llm-inference-service] timeout=test_case.response_timeout, [e2e-llm-inference-service] ) [e2e-llm-inference-service] else: [e2e-llm-inference-service] response = get_with_retry( [e2e-llm-inference-service] model_url, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] timeout=test_case.response_timeout, [e2e-llm-inference-service] ) [e2e-llm-inference-service] except Exception as e: [e2e-llm-inference-service] logger.error(f"❌ Failed to call model: {e}") [e2e-llm-inference-service] raise AssertionError(f"❌ Failed to call model: {e}") from e [e2e-llm-inference-service] [e2e-llm-inference-service] logger.info(f"Model response is {response.status_code}: {response.text[:500]}") [e2e-llm-inference-service] [e2e-llm-inference-service] if 200 <= response.status_code < 300: [e2e-llm-inference-service] return response [e2e-llm-inference-service] raise AssertionError( [e2e-llm-inference-service] f"Service returned {response.status_code}: {response.text}" [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] > response = wait_for(get_successful_response, timeout=timeout_seconds, interval=5.0) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:1119: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] assertion_fn = .get_successful_response at 0x7f43bf0ff6a0> [e2e-llm-inference-service] timeout = 900, interval = 5.0 [e2e-llm-inference-service] [e2e-llm-inference-service] def wait_for( [e2e-llm-inference-service] assertion_fn: Callable[[], Any], timeout: float = 5.0, interval: float = 0.1 [e2e-llm-inference-service] ) -> Any: [e2e-llm-inference-service] """Wait for the assertion to succeed within timeout.""" [e2e-llm-inference-service] deadline = time.time() + timeout [e2e-llm-inference-service] last_msg = None [e2e-llm-inference-service] while True: [e2e-llm-inference-service] try: [e2e-llm-inference-service] > return assertion_fn() [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:1215: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] def get_successful_response(): [e2e-llm-inference-service] try: [e2e-llm-inference-service] if test_case.url_getter: [e2e-llm-inference-service] service_url = test_case.url_getter(kserve_client, test_case.llm_service) [e2e-llm-inference-service] else: [e2e-llm-inference-service] service_url = get_llm_service_url(kserve_client, test_case.llm_service) [e2e-llm-inference-service] except Exception as e: [e2e-llm-inference-service] raise AssertionError(f"❌ Failed to get service URL: {e}") from e [e2e-llm-inference-service] [e2e-llm-inference-service] model_url = service_url + test_case.endpoint [e2e-llm-inference-service] [e2e-llm-inference-service] headers = {"Content-Type": "application/json"} [e2e-llm-inference-service] if extra_headers: [e2e-llm-inference-service] headers.update(extra_headers) [e2e-llm-inference-service] [e2e-llm-inference-service] if test_case.payload_formatter is not None: [e2e-llm-inference-service] test_payload = test_case.payload_formatter(test_case) [e2e-llm-inference-service] elif test_case.prompt is not None: [e2e-llm-inference-service] test_payload = { [e2e-llm-inference-service] "model": test_case.model_name [e2e-llm-inference-service] if not extra_headers or MODEL_ROUTING_HEADER not in extra_headers [e2e-llm-inference-service] else extra_headers[MODEL_ROUTING_HEADER], [e2e-llm-inference-service] "prompt": test_case.prompt, [e2e-llm-inference-service] "max_tokens": test_case.max_tokens, [e2e-llm-inference-service] } [e2e-llm-inference-service] else: [e2e-llm-inference-service] test_payload = None [e2e-llm-inference-service] [e2e-llm-inference-service] logger.info(f"Calling LLM service at {model_url} with payload {test_payload}") [e2e-llm-inference-service] try: [e2e-llm-inference-service] if test_payload is not None: [e2e-llm-inference-service] response = post_with_retry( [e2e-llm-inference-service] model_url, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] json_data=test_payload, [e2e-llm-inference-service] timeout=test_case.response_timeout, [e2e-llm-inference-service] ) [e2e-llm-inference-service] else: [e2e-llm-inference-service] response = get_with_retry( [e2e-llm-inference-service] model_url, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] timeout=test_case.response_timeout, [e2e-llm-inference-service] ) [e2e-llm-inference-service] except Exception as e: [e2e-llm-inference-service] logger.error(f"❌ Failed to call model: {e}") [e2e-llm-inference-service] > raise AssertionError(f"❌ Failed to call model: {e}") from e [e2e-llm-inference-service] E AssertionError: ❌ Failed to call model: HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Max retries exceeded with url: /kserve-ci-e2e-test/custom-route-timeout-test/v1/completions (Caused by ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:1109: AssertionError [e2e-llm-inference-service] ------------------------------ Captured log setup ------------------------------ [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1637 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1586 Checking LLMInferenceServiceConfig router-custom-route-timeout-cus-3c5d4892 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1612 Resource not found, creating LLMInferenceServiceConfig router-custom-route-timeout-cus-3c5d4892 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1622 ✓ Successfully created LLMInferenceServiceConfig router-custom-route-timeout-cus-3c5d4892 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1586 Checking LLMInferenceServiceConfig scheduler-managed-custom-route-c8a904b6 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1612 Resource not found, creating LLMInferenceServiceConfig scheduler-managed-custom-route-c8a904b6 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1622 ✓ Successfully created LLMInferenceServiceConfig scheduler-managed-custom-route-c8a904b6 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1586 Checking LLMInferenceServiceConfig workload-single-cpu-custom-rout-4c4b9f6e in namespace kserve-ci-e2e-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1612 Resource not found, creating LLMInferenceServiceConfig workload-single-cpu-custom-rout-4c4b9f6e [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1622 ✓ Successfully created LLMInferenceServiceConfig workload-single-cpu-custom-rout-4c4b9f6e [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1586 Checking LLMInferenceServiceConfig model-fb-opt-125m-custom-route-928a8601 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1612 Resource not found, creating LLMInferenceServiceConfig model-fb-opt-125m-custom-route-928a8601 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1622 ✓ Successfully created LLMInferenceServiceConfig model-fb-opt-125m-custom-route-928a8601 [e2e-llm-inference-service] ------------------------------ Captured log call ------------------------------- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [test_llm_inference_service] [2026-07-07T15:32:09.968922] start - args=(), kwargs={'test_case': TestCase(base_refs=['router-custom-route-timeout', 'scheduler-managed', 'workload-single-cpu', 'model-fb-opt-125m'], prompt='KServe is a', service_name='custom-route-timeout-test', endpoint='/v1/completions', max_tokens=20, payload_formatter=None, response_assertion=, wait_timeout=900, response_timeout=60, extra_headers=None, url_getter=None, expected_gateway=None, before_test=[], after_test=[], peers=[], llm_service={'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': None, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'custom-route-timeout-test', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-custom-route-timeout-cus-3c5d4892'}, [e2e-llm-inference-service] {'name': 'scheduler-managed-custom-route-c8a904b6'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-custom-rout-4c4b9f6e'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-custom-route-928a8601'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m')} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1637 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [create_llmisvc] [2026-07-07T15:32:09.981821] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'custom-route-timeout-test', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-custom-route-timeout-cus-3c5d4892'}, [e2e-llm-inference-service] {'name': 'scheduler-managed-custom-route-c8a904b6'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-custom-rout-4c4b9f6e'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-custom-route-928a8601'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [create_llmisvc] [2026-07-07T15:32:10.076663] end - ✅ in 0.095s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [wait_for_llm_isvc_ready] [2026-07-07T15:32:10.076792] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'custom-route-timeout-test', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-custom-route-timeout-cus-3c5d4892'}, [e2e-llm-inference-service] {'name': 'scheduler-managed-custom-route-c8a904b6'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-custom-rout-4c4b9f6e'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-custom-route-928a8601'}]}, [e2e-llm-inference-service] 'status': None}, 900), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1222 Waiting: No conditions found in status [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1222 Waiting: Missing true conditions: {'Ready', 'RouterReady', 'WorkloadsReady'}, expected {'Ready', 'RouterReady', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-07T15:32:18Z', 'message': 'The following HTTPRoutes are not ready: [kserve-ci-e2e-test/custom-route-timeout-test-kserve-route: "False" (reason "InvalidKind", message "referencing unsupported backendRef: group \\"inference.networking.x-k8s.io\\" kind \\"InferencePool\\"")]', 'reason': 'HTTPRoutesNotReady', 'severity': 'Info', 'status': 'False', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-07T15:32:18Z', 'message': 'Inference Pool kserve-ci-e2e-test/custom-route-timeout-test-inference-pool exists but no Gateway controller has accepted it yet', 'reason': 'WaitingForGateway', 'severity': 'Info', 'status': 'False', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-07T15:32:18Z', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-07T15:32:18Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-07T15:32:18Z', 'message': 'The following HTTPRoutes are not ready: [kserve-ci-e2e-test/custom-route-timeout-test-kserve-route: "False" (reason "InvalidKind", message "referencing unsupported backendRef: group \\"inference.networking.x-k8s.io\\" kind \\"InferencePool\\"")]', 'reason': 'HTTPRoutesNotReady', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-07T15:32:18Z', 'message': 'The following HTTPRoutes are not ready: [kserve-ci-e2e-test/custom-route-timeout-test-kserve-route: "False" (reason "InvalidKind", message "referencing unsupported backendRef: group \\"inference.networking.x-k8s.io\\" kind \\"InferencePool\\"")]', 'reason': 'HTTPRoutesNotReady', 'status': 'False', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-07T15:32:18Z', 'message': 'Deployment rollout in progress', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-07T15:32:18Z', 'reason': 'Progressing', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1222 Waiting: Missing true conditions: {'Ready', 'RouterReady', 'WorkloadsReady'}, expected {'Ready', 'RouterReady', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-07T15:32:29Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-07T15:32:29Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-07T15:32:29Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-07T15:32:18Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-07T15:32:29Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-07T15:32:29Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-07T15:32:29Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-07T15:32:29Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1222 Waiting: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'Ready', 'RouterReady', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-07T15:32:29Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-07T15:32:29Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-07T15:32:29Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-07T15:32:18Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-07T15:32:29Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-07T15:32:50Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-07T15:32:50Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-07T15:32:29Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [wait_for_llm_isvc_ready] [2026-07-07T15:34:42.499675] end - ✅ in 152.423s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [wait_for_model_response] [2026-07-07T15:34:42.499919] start - args=(, TestCase(base_refs=['router-custom-route-timeout', 'scheduler-managed', 'workload-single-cpu', 'model-fb-opt-125m'], prompt='KServe is a', service_name='custom-route-timeout-test', endpoint='/v1/completions', max_tokens=20, payload_formatter=None, response_assertion=, wait_timeout=900, response_timeout=60, extra_headers=None, url_getter=None, expected_gateway=None, before_test=[], after_test=[], peers=[], llm_service={'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'custom-route-timeout-test', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-custom-route-timeout-cus-3c5d4892'}, [e2e-llm-inference-service] {'name': 'scheduler-managed-custom-route-c8a904b6'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-custom-rout-4c4b9f6e'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-custom-route-928a8601'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m'), 900), kwargs={'extra_headers': None} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_llm_service_url] [2026-07-07T15:34:42.500338] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'custom-route-timeout-test', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-custom-route-timeout-cus-3c5d4892'}, [e2e-llm-inference-service] {'name': 'scheduler-managed-custom-route-c8a904b6'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-custom-rout-4c4b9f6e'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-custom-route-928a8601'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_llm_service_url] [2026-07-07T15:34:42.510550] end - ✅ in 0.010s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com/kserve-ci-e2e-test/custom-route-timeout-test/v1/completions with payload {'model': 'facebook/opt-125m', 'prompt': 'KServe is a', 'max_tokens': 20} [e2e-llm-inference-service] WARNING urllib3.connectionpool:connectionpool.py:868 Retrying (Retry(total=7, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")': /kserve-ci-e2e-test/custom-route-timeout-test/v1/completions [e2e-llm-inference-service] WARNING urllib3.connectionpool:connectionpool.py:868 Retrying (Retry(total=6, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")': /kserve-ci-e2e-test/custom-route-timeout-test/v1/completions [e2e-llm-inference-service] WARNING urllib3.connectionpool:connectionpool.py:868 Retrying (Retry(total=5, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")': /kserve-ci-e2e-test/custom-route-timeout-test/v1/completions [e2e-llm-inference-service] WARNING urllib3.connectionpool:connectionpool.py:868 Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")': /kserve-ci-e2e-test/custom-route-timeout-test/v1/completions [e2e-llm-inference-service] WARNING urllib3.connectionpool:connectionpool.py:868 Retrying (Retry(total=3, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")': /kserve-ci-e2e-test/custom-route-timeout-test/v1/completions [e2e-llm-inference-service] WARNING urllib3.connectionpool:connectionpool.py:868 Retrying (Retry(total=2, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")': /kserve-ci-e2e-test/custom-route-timeout-test/v1/completions [e2e-llm-inference-service] WARNING urllib3.connectionpool:connectionpool.py:868 Retrying (Retry(total=1, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")': /kserve-ci-e2e-test/custom-route-timeout-test/v1/completions [e2e-llm-inference-service] WARNING urllib3.connectionpool:connectionpool.py:868 Retrying (Retry(total=0, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")': /kserve-ci-e2e-test/custom-route-timeout-test/v1/completions [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:test_llm_inference_service.py:1108 ❌ Failed to call model: HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Max retries exceeded with url: /kserve-ci-e2e-test/custom-route-timeout-test/v1/completions (Caused by ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")) [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:test_llm_inference_service.py:1219 Timed out waiting: ❌ Failed to call model: HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Max retries exceeded with url: /kserve-ci-e2e-test/custom-route-timeout-test/v1/completions (Caused by ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")) [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:logging.py:48 [wait_for_model_response] [2026-07-07T15:49:46.994242] end - ❌ 904.494s: ❌ Failed to call model: HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Max retries exceeded with url: /kserve-ci-e2e-test/custom-route-timeout-test/v1/completions (Caused by ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")) [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:test_llm_inference_service.py:831 [router-custom-route-timeout-scheduler-managed-workload-single-cpu-model-fb-opt-125m] ❌ ERROR: Failed to call llm inference service custom-route-timeout-test: ❌ Failed to call model: HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Max retries exceeded with url: /kserve-ci-e2e-test/custom-route-timeout-test/v1/completions (Caused by ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1240 🔍 # Diagnostics for 'custom-route-timeout-test' in 'kserve-ci-e2e-test' [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1241 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1242 # LLMInferenceService custom-route-timeout-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1245 apiVersion: serving.kserve.io/v1alpha1 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] security.opendatahub.io/enable-auth: 'false' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:32:10Z' [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: '2026-07-07T15:32:10Z' [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: '2026-07-07T15:32:10Z' [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:addresses: {} [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-decode-template: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-decode-worker-data-parallel: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-prefill-template: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-prefill-worker-data-parallel: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-router-route: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-scheduler: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-template: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-tracing: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-worker-data-parallel: {} [e2e-llm-inference-service] f:appliedConfigs: {} [e2e-llm-inference-service] f:conditions: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:router: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:gateways: {} [e2e-llm-inference-service] f:scheduler: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:inferencePool: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:group: {} [e2e-llm-inference-service] f:kind: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:service: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:group: {} [e2e-llm-inference-service] f:kind: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:url: {} [e2e-llm-inference-service] f:workloads: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:primary: {} [e2e-llm-inference-service] f:scheduler: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-07T15:34:42Z' [e2e-llm-inference-service] name: custom-route-timeout-test [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] resourceVersion: '46046' [e2e-llm-inference-service] uid: 7809bcbf-9cf6-4f9e-a342-a8a0c5eddcb5 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] baseRefs: [e2e-llm-inference-service] - name: router-custom-route-timeout-cus-3c5d4892 [e2e-llm-inference-service] - name: scheduler-managed-custom-route-c8a904b6 [e2e-llm-inference-service] - name: workload-single-cpu-custom-rout-4c4b9f6e [e2e-llm-inference-service] - name: model-fb-opt-125m-custom-route-928a8601 [e2e-llm-inference-service] model: [e2e-llm-inference-service] name: custom-route-timeout-test [e2e-llm-inference-service] uri: '' [e2e-llm-inference-service] status: [e2e-llm-inference-service] addresses: [e2e-llm-inference-service] - name: gateway-external [e2e-llm-inference-service] url: http://abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com/kserve-ci-e2e-test/custom-route-timeout-test [e2e-llm-inference-service] - name: gateway-internal [e2e-llm-inference-service] url: http://openshift-ai-inference-openshift-default.openshift-ingress.svc.cluster.local/kserve-ci-e2e-test/custom-route-timeout-test [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] serving.kserve.io/config-llm-decode-template: kserve-config-llm-decode-template [e2e-llm-inference-service] serving.kserve.io/config-llm-decode-worker-data-parallel: kserve-config-llm-decode-worker-data-parallel [e2e-llm-inference-service] serving.kserve.io/config-llm-prefill-template: kserve-config-llm-prefill-template [e2e-llm-inference-service] serving.kserve.io/config-llm-prefill-worker-data-parallel: kserve-config-llm-prefill-worker-data-parallel [e2e-llm-inference-service] serving.kserve.io/config-llm-router-route: kserve-config-llm-router-route [e2e-llm-inference-service] serving.kserve.io/config-llm-scheduler: kserve-config-llm-scheduler [e2e-llm-inference-service] serving.kserve.io/config-llm-template: kserve-config-llm-template [e2e-llm-inference-service] serving.kserve.io/config-llm-tracing: kserve-config-llm-tracing [e2e-llm-inference-service] serving.kserve.io/config-llm-worker-data-parallel: kserve-config-llm-worker-data-parallel [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T15:32:29Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: HTTPRoutesReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T15:32:29Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: InferencePoolReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T15:34:42Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: MainWorkloadReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T15:32:18Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: PresetsCombined [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T15:34:42Z' [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: Ready [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T15:32:50Z' [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: RouterReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T15:32:50Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: SchedulerWorkloadReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T15:34:42Z' [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: WorkloadsReady [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] url: http://abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com/kserve-ci-e2e-test/custom-route-timeout-test [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:44 TIME NAMESPACE SOURCE TYPE REASON MESSAGE [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:45 -------------------------------------------------------------------------------------------------- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-disabled-test-kserve-c58f655c7-9qnmk to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.36/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:28 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:28 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:32 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:32 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:32 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:18:27 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.36:8000/health": dial tcp 10.134.0.36:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-disabled-test-kserve-c58f655c7-9qnmk [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-disabled-test-kserve-router-scheduler-65b4fbcbbd-p87dh to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:28 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.36/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:28 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:28 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:28 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:29 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:29 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:29 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-disabled-test-kserve-router-scheduler-65b4fbcbbd-p87dh [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-disabled-test-kserve-router-scheduler-65b4fbcbbd from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-disabled-test-kserve-c58f655c7 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:20 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy auth-disabled-test-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/auth-disabled-test-kserve-route: HTTPRoute.gateway.networking.k8s.io "auth-disabled-test-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/auth-disabled-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-disabled-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-disabled-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/auth-disabled-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-disabled-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/auth-disabled-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/auth-disabled-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-disabled-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-disabled-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/auth-disabled-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:44 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/auth-disabled-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:44 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/auth-disabled-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:18:38 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [auth-disabled-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-enabled-test-kserve-6545cfc5c9-w82j8 to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.34/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulling Pulling image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:23 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Successfully pulled image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" in 3.609s (3.609s including waiting). Image size: 301881278 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:23 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:23 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:28 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulling Pulling image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:14 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Successfully pulled image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" in 45.616s (45.616s including waiting). Image size: 3531177328 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:14 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:14 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:59 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.34:8000/health": dial tcp 10.134.0.34:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:14 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-enabled-test-kserve-6545cfc5c9-w82j8 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-enabled-test-kserve-router-scheduler-79bc59d7f5-4xdsg to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.42/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:21 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:22 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" in 1.265s (1.265s including waiting). Image size: 75073927 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:22 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:22 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:14 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:14 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-enabled-test-kserve-router-scheduler-79bc59d7f5-4xdsg [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-enabled-test-kserve-router-scheduler-79bc59d7f5 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-enabled-test-kserve-6545cfc5c9 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/auth-enabled-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-enabled-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-enabled-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/auth-enabled-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-enabled-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/auth-enabled-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/auth-enabled-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-enabled-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-enabled-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/auth-enabled-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:42 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/auth-enabled-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/auth-enabled-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:09 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [auth-enabled-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-enabled-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-invalid-token-test-kserve-686cc8ccdc-k45d6 to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.35/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:55 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:55 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:55 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:41 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.35:8000/health": dial tcp 10.134.0.35:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:52 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:08 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Readiness probe failed: Get "https://10.134.0.35:8000/health": dial tcp 10.134.0.35:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:50 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-invalid-token-test-kserve-686cc8ccdc-k45d6 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-invalid-token-test-kserve-router-scheduler-55fc95f97crkwl9 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-invalid-token-test-kserve-router-scheduler-55fc95f97crkwl9 to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.33/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:53 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:53 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:53 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:52 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:52 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-invalid-token-test-kserve-router-scheduler-55fc95f97c from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:50 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-invalid-token-test-kserve-686cc8ccdc from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/auth-invalid-token-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-invalid-token-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-invalid-token-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/auth-invalid-token-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-invalid-token-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/auth-invalid-token-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/auth-invalid-token-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-invalid-token-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-invalid-token-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/auth-invalid-token-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/auth-invalid-token-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/auth-invalid-token-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:51 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [auth-invalid-token-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:52 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-invalid-token-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/custom-route-timeout-test-kserve-864979d845-rg778 to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:16 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.39/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:16 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:16 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:16 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:20 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:20 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:20 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:16 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.39:8000/health": dial tcp 10.134.0.39:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: custom-route-timeout-test-kserve-864979d845-rg778 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: custom-route-timeout-test-kserve-router-scheduler-778d465brn76d [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/custom-route-timeout-test-kserve-router-scheduler-778d465brn76d to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:16 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.39/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:16 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:16 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:16 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:17 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:17 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:17 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set custom-route-timeout-test-kserve-router-scheduler-778d465b5b from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set custom-route-timeout-test-kserve-864979d845 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy custom-route-timeout-test-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/custom-route-timeout-test-kserve-route: HTTPRoute.gateway.networking.k8s.io "custom-route-timeout-test-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/custom-route-timeout-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/custom-route-timeout-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/custom-route-timeout-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/custom-route-timeout-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-custom-route-timeout-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/custom-route-timeout-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/custom-route-timeout-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/custom-route-timeout-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/custom-route-timeout-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/custom-route-timeout-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/custom-route-timeout-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/custom-route-timeout-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:42 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [custom-route-timeout-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:50 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: gw-section-name-router-with-gat-2f0a622e-kserve-7c9c8cffc5mvc8s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve-7c9c8cffc5mvc8s to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:51 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.33/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:51 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:52 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" in 1.225s (1.225s including waiting). Image size: 98346788 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:52 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:52 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:58 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:50 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set gw-section-name-router-with-gat-2f0a622e-kserve-7c9c8cffc5 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/gw-sec0c69dceeb48768325d1a53a749e65786-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.HTTPRoute kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.DestinationRule kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:01 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: gw-section-name-router-with-gat-f1d92d0f-kserve-7bc8dd6c5btwgmp [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve-7bc8dd6c5btwgmp to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:02 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.41/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:02 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:02 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:02 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Warning FailedMount MountVolume.SetUp failed for volume "tls-certs" : secret "gw-sec2774c263d49959f50d9eebc552e13bf9-kserve-self-signed-certs" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:06 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:01 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set gw-section-name-router-with-gat-f1d92d0f-kserve-7bc8dd6c5b from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/gw-sec2774c263d49959f50d9eebc552e13bf9-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.HTTPRoute kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.DestinationRule kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-route-87882a8e-kserve-656d69b45fmlsj7 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve-656d69b45fmlsj7 to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.38/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:36 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:36 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:36 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:23:29 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.38:8000/health": dial tcp 10.134.0.38:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:31:49 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:06 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Readiness probe failed: Get "https://10.134.0.38:8000/health": context deadline exceeded [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-route-87882a8e-kserve-656d69b45f from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-fb-opt-125m-route-87882a8e-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-fb-opt-125m-route-87882a8e-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisva690bbc929faec8bc98c767f16c003c1-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test21fe6730fe484f3a92b1a16afe1bac8f-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvca690bbc929faec8bc98c767f16c003c1-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:46 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisva690bbc929faec8bc98c767f16c003c1-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:46 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:23:40 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-fb-opt-125m-route-87882a8e] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:31:49 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test21fe6730fe484f3a92b1a16afe1bac8f-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:45 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-66874c76d42rwrf [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-66874c76d42rwrf to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:46 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.37/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:46 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:46 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:46 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:06 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:45 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-66874c76d4 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:44 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv122f03714c5bdf915a2917fdf1262b98-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:20:04 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv122f03714c5bdf915a2917fdf1262b98-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:20:05 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-fb-opt-125m-route-e95b1dc1] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-855b7d474b-8hjhw to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.37/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:43 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:43 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:43 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:18:58 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.37:8000/health": dial tcp 10.134.0.37:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-855b7d474b-8hjhw [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-router-sche2449j to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.47/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:39 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:39 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:40 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:40 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:40 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-router-sche2449j [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-with-7ca60146-kserve-router-scheduler-76cdc676b7 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-with-7ca60146-kserve-855b7d474b from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:34 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-fb-opt-125m-with-7ca60146-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-fb-opt-125m-with-7ca60146-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv3e414c2ba058a022dfd694dbcbac5b51-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test5216bfd716f919dc046bc693ceb22e41-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:57 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv3e414c2ba058a022dfd694dbcbac5b51-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:08 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-fb-opt-125m-with-7ca60146] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-d68d9bcc7-gghpz to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:22 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.40/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:22 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:22 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:22 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:27 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:27 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:27 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:35:41 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.40:8000/health": dial tcp 10.134.0.40:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:21 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-d68d9bcc7-gghpz [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-router-sche4jhsb to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:22 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.40/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:22 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:22 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:22 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:24 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:24 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:24 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:22 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-router-sche4jhsb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:22 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-router-scheduler-6f5c957798 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:21 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-d68d9bcc7 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:21 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:21 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv77ff2528d3e9b4972cd9335229fce9f0-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:21 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:21 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:21 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:21 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test05addb65ba05195619f26ef266e8fc04-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:21 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv77ff2528d3e9b4972cd9335229fce9f0-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:35:52 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-fb-opt-125m-with-ba4d693a] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve-5c54ddb98fcrnjb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve-5c54ddb98fcrnjb to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.35/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:49 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve-5c54ddb98f from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv08544b88a8d963ffd553cc1f3ed82d16-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test76d7f532acb694e4a7bcef75d32cd8a1-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc08544b88a8d963ffd553cc1f3ed82d16-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:12 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv08544b88a8d963ffd553cc1f3ed82d16-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:47 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-qwen2-5-0-5b-rout-4f8c0978] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test76d7f532acb694e4a7bcef75d32cd8a1-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve-5d8ffd58ddvv5px [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve-5d8ffd58ddvv5px to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.43/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:05 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve-5d8ffd58dd from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisvb11a9c9832b99b016bc8f8e0ea095712-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-testb7025ca4d8a6f8f5b2fd08b5581d2678-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvcb11a9c9832b99b016bc8f8e0ea095712-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:31 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:31 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisvb11a9c9832b99b016bc8f8e0ea095712-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:31 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:03 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-qwen2-5-0-5b-rout-a50492e9] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:05 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-testb7025ca4d8a6f8f5b2fd08b5581d2678-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-bd545d56-nmndd to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.45/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:08 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-router-managed-test-llm-4b931143-kserve-bd545d56-nmndd [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-router-managed-test-llm-4b931143-kserve-bd545d56 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-router-managed-test-llm-4b931143-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-router-managed-test-llm-4b931143-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisvca2d2d7d499abb359505529ebe02c136-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test8ac8e3d2264ccb939eb021b0b835847c-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:18 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisvca2d2d7d499abb359505529ebe02c136-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:18 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:39 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-router-managed-test-llm-4b931143] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:08 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test8ac8e3d2264ccb939eb021b0b835847c-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-router-managed-test-llm-5b1e8f15-kserve-64df7bddb4nzblz [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-64df7bddb4nzblz to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:29 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.31/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:29 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:29 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:29 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:25 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-router-managed-test-llm-5b1e8f15-kserve-64df7bddb4 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:23 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-router-managed-test-llm-5b1e8f15-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-router-managed-test-llm-5b1e8f15-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisve55ae740357a3a31a27cdb8b66ffe20f-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test7f54e84970003a6e7372bdbcb574f7ed-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:39 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisve55ae740357a3a31a27cdb8b66ffe20f-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:01 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-router-managed-test-llm-5b1e8f15] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test7f54e84970003a6e7372bdbcb574f7ed-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-router-managed-test-llm-e45d1f79-kserve-7fdbbd4879d6nsg [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-7fdbbd4879d6nsg to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.29/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:52 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-router-managed-test-llm-e45d1f79-kserve-7fdbbd4879 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-router-managed-test-llm-e45d1f79-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-router-managed-test-llm-e45d1f79-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv5c7e67b6c51568d1d6d13829a9337f2a-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-testef4d2875be14b30dc1561ed84d0d4bde-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc5c7e67b6c51568d1d6d13829a9337f2a-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv5c7e67b6c51568d1d6d13829a9337f2a-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:52 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-router-managed-test-llm-e45d1f79] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:52 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-testef4d2875be14b30dc1561ed84d0d4bde-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc08544b88a8d963ffd553cc1f3ed82d16-kserve-router-schez7qcx [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc08544b88a8d963ffd553cc1f3ed82d16-kserve-router-scheduler-6fcb489785 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc08544b88a8d963ffd553cc1f3ed82d16-kserve-router-schez7qcx to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.46/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:03 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:03 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:49 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:49 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc5c7e67b6c51568d1d6d13829a9337f2a-kserve-router-schejbsn9 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc5c7e67b6c51568d1d6d13829a9337f2a-kserve-router-scheduler-5dd88bfbb7 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc5c7e67b6c51568d1d6d13829a9337f2a-kserve-router-schejbsn9 to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.30/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:20 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:20 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:52 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:52 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvca690bbc929faec8bc98c767f16c003c1-kserve-router-sche4mmnh to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:30 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.38/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:30 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:30 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:30 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:31 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:31 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:31 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:31:49 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:31:49 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvca690bbc929faec8bc98c767f16c003c1-kserve-router-sche4mmnh [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvca690bbc929faec8bc98c767f16c003c1-kserve-router-scheduler-6d6ccfd7bf from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvcb11a9c9832b99b016bc8f8e0ea095712-kserve-router-schefwv9g [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvcb11a9c9832b99b016bc8f8e0ea095712-kserve-router-scheduler-6d86bd4d9d from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvcb11a9c9832b99b016bc8f8e0ea095712-kserve-router-schefwv9g to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:25 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.44/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:25 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:25 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:25 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:05 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:05 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-schepv8bq [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-scheduler-68cc9685d6 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-schepv8bq to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.34/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:07 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:07 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:07 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:08 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:09 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-schegq6m5 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-scheduler-749449dbc8 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-schegq6m5 to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:29 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.32/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:29 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:29 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:29 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:25 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:25 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/precise-prefix-cache-test-kserve-7cccfc8969-5jsv7 to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.40/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:45 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:47 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" in 1.17s (1.17s including waiting). Image size: 98346788 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:47 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:47 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:53 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/precise-prefix-cache-test-kserve-7cccfc8969-hgnwf to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.27/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulling Pulling image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:45 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Successfully pulled image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" in 3.856s (3.856s including waiting). Image size: 301881278 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:45 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:45 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:50 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:52 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" in 1.366s (1.366s including waiting). Image size: 98346788 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:52 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:52 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:53 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: precise-prefix-cache-test-kserve-7cccfc8969-5jsv7 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: precise-prefix-cache-test-kserve-7cccfc8969-hgnwf [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: precise-prefix-cache-test-kserve-router-scheduler-574f7b5bkxs85 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/precise-prefix-cache-test-kserve-router-scheduler-574f7b5bkxs85 to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:42 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.28/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:42 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulling Pulling image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:45 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Successfully pulled image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" in 3.25s (3.25s including waiting). Image size: 301881278 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:45 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:45 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:46 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:48 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" in 1.812s (1.812s including waiting). Image size: 75073927 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:21 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:21 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:48 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-uds-tokenizer:vllm-v0.19.1" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:20 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-uds-tokenizer:vllm-v0.19.1" in 31.967s (31.967s including waiting). Image size: 2989890188 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:20 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: tokenizer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:20 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container tokenizer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:21 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:43 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Warning Unhealthy Liveness probe failed: timeout: failed to connect service "10.133.0.28:9003" within 1s: context deadline exceeded [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:53 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container tokenizer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:53 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:53 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set precise-prefix-cache-test-kserve-router-scheduler-574f7b5bf from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set precise-prefix-cache-test-kserve-7cccfc8969 from 0 to 2 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:37 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy precise-prefix-cache-test-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/precise-prefix-cache-test-kserve-route: HTTPRoute.gateway.networking.k8s.io "precise-prefix-cache-test-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:40 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/precise-prefix-cache-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/precise-prefix-cache-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/precise-prefix-cache-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/precise-prefix-cache-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-precise-prefix-cache-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/precise-prefix-cache-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/precise-prefix-cache-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/precise-prefix-cache-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/precise-prefix-cache-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:56 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/precise-prefix-cache-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:55 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/precise-prefix-cache-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:56 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/precise-prefix-cache-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:52 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [precise-prefix-cache-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:53 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test-precise-prefix-cache-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-1-openshift-default-857cf9f944-p7rxk to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:32 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.32/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:20:19 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:20:19 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:20:19 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:20:05 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning BackOff Back-off restarting failed container istio-proxy in pod router-gateway-1-openshift-default-857cf9f944-p7rxk_kserve-ci-e2e-test(70147199-b9b1-413d-838d-76f6d8f9b3e2) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:20:25 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "http://10.134.0.32:15021/healthz/ready": dial tcp 10.134.0.32:15021: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:32 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-1-openshift-default-857cf9f944-p7rxk [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:32 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-gateway-1-openshift-default-857cf9f944 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:32 kserve-ci-e2e-test service-controller Normal EnsuringLoadBalancer Ensuring load balancer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:35 kserve-ci-e2e-test service-controller Normal EnsuredLoadBalancer Ensured load balancer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:41 kserve-ci-e2e-test gateway_labeler_controller Normal AddedLabel Added label istio.io/rev=openshift-gateway to gateway router-gateway-1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:148 ### Pod custom-route-timeout-test-kserve-864979d845-rg778 (phase=Running) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:188 #### init-container 'storage-initializer' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:201 # -- logs (current) -- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:202 2026-07-07 15:32:16.538 1 storage.initializer INFO [initializer-entrypoint:():17] Initializing, args: (src_uri, dest_path): [('hf://facebook/opt-125m', '/mnt/models')] [e2e-llm-inference-service] 2026-07-07 15:32:16.538 1 storage.initializer INFO [kserve_storage.py:download():166] Copying contents of hf://facebook/opt-125m to local [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/wPaCkH-WbT7GsmxMKKrNZTV4nSM=.ac481c8eb05e4d2496fbe076a38a7b4835dd733d.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_02a2fed8-1067-44b6-a2c5-00f00542b5f3'. [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_04159043-153f-4f03-8082-3b3d4bb0966f'. [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_53e98d41-9d8c-4ca7-bd18-68aa253874dd'. [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_41b61b2d-8d53-4ba3-abf2-18e9c9a5ae0f'. [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_4e9aaf49-c5fe-4ef6-ae2d-0917e540d31d'. [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_0b308249-bb94-449c-b239-747be55f4e9d'. [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_00270bde-9bbe-48b3-8ec2-53db7c1d51f1'. [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_95df42bf-a2f6-40d2-b2c6-f3042296b898'. [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_36e4fe27-f2f1-499c-9e60-43fb940dde73'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/a7eHxRFT3OeMBIFg52k2nfj5m7w=.db7090b0c8b34dd957a7e0656c718f978f9203cc874018f37dda44108be5970a.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_aff6ac91-dc5c-4523-90c2-a20ec8069f7a'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/vzaExXFZNBay89bvlQv-ZcI6BTg=.27c24ca9d908d0b678b20c698aeb9e950c44d865.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_dc4d9998-a29f-46b5-afe7-ec043d28a0a4'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/j3m-Hy6QvBddw8RXA1uSWl1AJ0c=.0a39732b2d8be8e493cab3da68b68cc3e28221de.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_098935af-5740-4f71-8a64-b663e751b2b8'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] 2026-07-07 15:32:20.250 1 storage.initializer INFO [kserve_storage.py:download():234] Successfully copied hf://facebook/opt-125m to /mnt/models [e2e-llm-inference-service] 2026-07-07 15:32:20.250 1 storage.initializer INFO [kserve_storage.py:download():235] Model downloaded in 3.712473520000003 seconds. [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:188 #### container 'main' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:201 # -- logs (current) -- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:202 (APIServer pid=1) DEBUG 07-07 15:47:02 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:03 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:04 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:05 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:06 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:06 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:06 [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 07-07 15:47:07 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:08 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:09 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:10 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:11 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:12 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:13 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:14 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:15 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:16 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:16 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:16 [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 07-07 15:47:17 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:18 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:19 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:20 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:21 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:22 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:23 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:24 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:25 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:26 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:26 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:26 [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 07-07 15:47:27 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:28 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:29 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:30 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:31 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:32 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:33 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:34 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:35 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:36 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:36 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:36 [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 07-07 15:47:37 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:38 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:39 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:40 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:41 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:42 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:43 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:44 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:45 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:46 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:46 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:46 [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 07-07 15:47:47 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:48 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:49 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:50 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:51 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:52 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:53 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:54 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:55 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:56 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:56 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:56 [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 07-07 15:47:57 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:58 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:47:59 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:00 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:01 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:02 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:03 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:04 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:05 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:06 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:06 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:06 [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 07-07 15:48:07 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:08 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:09 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:10 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:11 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:12 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:13 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:14 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:15 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:16 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:16 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:16 [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 07-07 15:48:17 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:18 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:19 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:20 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:21 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:22 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:23 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:24 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:25 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:26 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:26 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:26 [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 07-07 15:48:27 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:28 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:29 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:30 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:31 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:32 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:33 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:34 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:35 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:36 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:36 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:36 [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 07-07 15:48:37 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:38 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:39 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:40 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:41 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:42 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:43 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:44 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:45 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:46 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:46 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:46 [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 07-07 15:48:47 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:48 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:49 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:50 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:51 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:52 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:53 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:54 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:55 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:56 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:56 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:56 [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 07-07 15:48:57 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:58 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:59 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:00 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:01 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:02 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:03 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:04 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:05 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:06 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:06 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:06 [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 07-07 15:49:07 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:08 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:09 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:10 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:11 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:12 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:13 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:14 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:15 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:16 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:16 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:16 [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 07-07 15:49:17 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:18 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:19 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:20 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:21 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:22 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:23 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:24 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:25 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:26 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:26 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:26 [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 07-07 15:49:27 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:28 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:29 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:30 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:31 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:32 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:33 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:34 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:35 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:36 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:36 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:36 [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 07-07 15:49:37 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:38 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:39 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:40 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:41 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:42 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:43 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:44 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:45 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:46 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:46 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:46 [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 07-07 15:49:47 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:148 ### Pod custom-route-timeout-test-kserve-router-scheduler-778d465brn76d (phase=Running) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:188 #### init-container 'storage-initializer' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:201 # -- logs (current) -- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:202 2026-07-07 15:32:16.854 1 storage.initializer INFO [initializer-entrypoint:():17] Initializing, args: (src_uri, dest_path): [('hf://facebook/opt-125m', '/mnt/models')] [e2e-llm-inference-service] 2026-07-07 15:32:16.854 1 storage.initializer INFO [kserve_storage.py:download():166] Copying contents of hf://facebook/opt-125m to local [e2e-llm-inference-service] 2026-07-07 15:32:16.855 1 storage.initializer INFO [kserve_storage.py:download():169] Allow patterns: ['tokenizer.json', 'tokenizer_config.json', 'special_tokens_map.json', 'vocab.json', 'merges.txt', 'config.json', 'generation_config.json'] [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/8_PA_wEVGiVa2goH2H4KQOQpvVY=.b3fb716a3024261980becb2382e31a3780985130.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_4696449d-8f5e-45df-8273-6d2f4ca78c99'. [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_f01027e0-f953-46a6-9868-faa31b59a4e4'. [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_1606e27d-b17a-44c6-b11a-a4f6fd4fb538'. [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_1a33b8ca-370a-426f-9e5b-daaa4580c2c8'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/vzaExXFZNBay89bvlQv-ZcI6BTg=.27c24ca9d908d0b678b20c698aeb9e950c44d865.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_861ff44e-ec3a-46e4-961d-6d9c8ac55572'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/j3m-Hy6QvBddw8RXA1uSWl1AJ0c=.0a39732b2d8be8e493cab3da68b68cc3e28221de.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_99ae0591-fd5a-4d52-add4-cdb87db2e12c'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] 2026-07-07 15:32:17.273 1 storage.initializer INFO [kserve_storage.py:download():234] Successfully copied hf://facebook/opt-125m to /mnt/models [e2e-llm-inference-service] 2026-07-07 15:32:17.273 1 storage.initializer INFO [kserve_storage.py:download():235] Model downloaded in 0.418271526999888 seconds. [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:188 #### container 'main' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:201 # -- logs (current) -- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:202 {"level":"info","ts":1783438337.5624979,"logger":"setup","caller":"runner/runner.go:196","msg":"GIE build","commit-sha":"181aa8358916e19b8844ccc752b2d6153d4b2ad6","build-ref":"v0.9.0-rc.2"} [e2e-llm-inference-service] Flag --model-server-metrics-scheme has been deprecated, This flag is deprecated. Configure via EndpointPickerConfig data layer plugin parameters instead. [e2e-llm-inference-service] {"level":"info","ts":1783438337.5635247,"logger":"setup","caller":"runner/runner.go:217","msg":"Flags processed","flags":{"cert-path":"/var/run/kserve/tls","config-file":"","config-text":"apiVersion: inference.networking.x-k8s.io/v1alpha1\nkind: EndpointPickerConfig\nplugins:\n- type: single-profile-handler\n- type: queue-scorer\n- type: prefix-cache-scorer\n- type: max-score-picker\nschedulingProfiles:\n- name: default\n plugins:\n - pluginRef: queue-scorer\n weight: 2\n - pluginRef: prefix-cache-scorer\n weight: 3\n - pluginRef: max-score-picker\n","disable-endpoint-subset-filter":false,"enable-cert-reload":true,"enable-grpc-stream-metrics":false,"enable-pprof":true,"endpoint-selector":"","endpoint-target-ports":{},"grpc-health-port":9003,"grpc-max-recv-msg-size":"","grpc-max-send-msg-size":"","grpc-port":9002,"ha-enable-leader-election":false,"health-checking":false,"metrics-endpoint-auth":true,"metrics-port":9090,"metrics-staleness-threshold":2000000000,"model-server-metrics-https-insecure-skip-verify":true,"model-server-metrics-path":"/metrics","model-server-metrics-port":0,"model-server-metrics-scheme":"https","pool-group":"inference.networking.k8s.io","pool-name":"custom-route-timeout-test-inference-pool","pool-namespace":"kserve-ci-e2e-test","refresh-metrics-interval":50000000,"refresh-prometheus-metrics-interval":5000000000,"secure-serving":true,"tracing":true,"v":2,"zap-devel":{},"zap-encoder":{},"zap-log-level":{},"zap-stacktrace-level":{},"zap-time-encoding":{}}} [e2e-llm-inference-service] {"level":"info","ts":1783438337.5637014,"logger":"setup.trace","caller":"tracing/telemetry.go:123","msg":"init OTel trace exporter","type":"console"} [e2e-llm-inference-service] {"level":"info","ts":1783438337.5641828,"caller":"loader/configloader.go:89","msg":"DEPRECATION: apiVersion inference.networking.x-k8s.io/v1alpha1/EndpointPickerConfig is deprecated","replacement":"llm-d.ai/v1alpha1/EndpointPickerConfig"} [e2e-llm-inference-service] {"level":"info","ts":1783438337.5642385,"caller":"loader/configloader.go:121","msg":"Loaded raw configuration","config":"{Plugins: [{Type: single-profile-handler} {Type: queue-scorer} {Type: prefix-cache-scorer} {Type: max-score-picker}], SchedulingProfiles: [{Name: default, Plugins: [{PluginRef: queue-scorer, Weight: 2.00} {PluginRef: prefix-cache-scorer, Weight: 3.00} {PluginRef: max-score-picker}]}]}"} [e2e-llm-inference-service] {"level":"info","ts":1783438337.5642507,"logger":"setup","caller":"runner/runner.go:622","msg":"Data layer: ENABLED"} [e2e-llm-inference-service] {"level":"info","ts":1783438337.564563,"logger":"setup","caller":"runner/runner.go:281","msg":"Raw config after phase one","config":{"apiVersion":"inference.networking.x-k8s.io/v1alpha1","dataLayer":null,"kind":"EndpointPickerConfig","plugins":[{"name":"single-profile-handler","parameters":null,"type":"single-profile-handler"},{"name":"queue-scorer","parameters":null,"type":"queue-scorer"},{"name":"prefix-cache-scorer","parameters":null,"type":"prefix-cache-scorer"},{"name":"max-score-picker","parameters":null,"type":"max-score-picker"}],"schedulingProfiles":[{"name":"default","plugins":[{"pluginRef":"queue-scorer","weight":2},{"pluginRef":"prefix-cache-scorer","weight":3},{"pluginRef":"max-score-picker","weight":null}]}]}} [e2e-llm-inference-service] {"level":"info","ts":1783438337.5843582,"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":1783438337.584544,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"vllm","mapping":"Mapping{all specs enabled}"} [e2e-llm-inference-service] {"level":"info","ts":1783438337.584606,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"sglang","mapping":"Mapping{disabled: [lora]}"} [e2e-llm-inference-service] {"level":"info","ts":1783438337.5846832,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"trtllm-serve","mapping":"Mapping{disabled: [lora, cacheInfo]}"} [e2e-llm-inference-service] {"level":"info","ts":1783438337.5847988,"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":1783438337.5848343,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"triton","mapping":"Mapping{disabled: [kv, lora, cacheInfo]}"} [e2e-llm-inference-service] {"level":"info","ts":1783438337.5849125,"caller":"loader/configloader.go:154","msg":"Instantiated all plugins and applied system defaults. Effective raw configuration","config":"{Plugins: [{Name: single-profile-handler, Type: single-profile-handler} {Name: queue-scorer, Type: queue-scorer} {Name: prefix-cache-scorer, Type: prefix-cache-scorer} {Name: max-score-picker, Type: max-score-picker} {Name: fcfs-ordering-policy, Type: fcfs-ordering-policy} {Name: global-strict-fairness-policy, Type: global-strict-fairness-policy} {Name: static-usage-limit-policy, Type: static-usage-limit-policy} {Name: openai-parser, Type: openai-parser} {Name: anthropic-parser, Type: anthropic-parser} {Name: vllmhttp-parser, Type: vllmhttp-parser} {Name: utilization-detector, Type: utilization-detector} {Name: metrics-data-source, Type: metrics-data-source} {Name: core-metrics-extractor, Type: core-metrics-extractor}], SchedulingProfiles: [{Name: default, Plugins: [{PluginRef: queue-scorer, Weight: 2.00} {PluginRef: prefix-cache-scorer, Weight: 3.00} {PluginRef: max-score-picker}]}], DataLayer: {Sources: [{PluginRef: metrics-data-source, Extractors: [{PluginRef: core-metrics-extractor}]}], Discovery: }, FlowControl: {MaxBytes: unlimited, MaxRequests: unlimited, SaturationDetector: {PluginRef: utilization-detector}}, RequestHandler: {Parsers: [{PluginRef: openai-parser}, {PluginRef: anthropic-parser}, {PluginRef: vllmhttp-parser}]}}"} [e2e-llm-inference-service] {"level":"info","ts":1783438337.584997,"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":1783438337.585122,"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":1783438337.5851572,"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":1783438337.5852337,"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":1783438337.5853708,"caller":"runner/runner.go:685","msg":"loaded configuration from file/text successfully"} [e2e-llm-inference-service] {"level":"info","ts":1783438337.585386,"logger":"setup","caller":"runner/runner.go:308","msg":"EPP config after phase two","config":"{SchedulerConfig:{ProfileHandler: single-profile-handler/single-profile-handler, Profiles: map[default:{Filters: [], Scorers: [queue-scorer/queue-scorer: 2.000000, prefix-cache-scorer/prefix-cache-scorer: 3.000000], Picker: max-score-picker/max-score-picker}]} SaturationDetector:0xc0007bb680 DataConfig:{Sources:[{Plugin:0xc000144cf0 Extractors:[0xc0007bb880]}]} FlowControlConfig: ParserRegistry:0xc0007bbd00}"} [e2e-llm-inference-service] {"level":"info","ts":1783438337.6071594,"logger":"setup","caller":"runner/runner.go:352","msg":"Setting pprof handlers"} [e2e-llm-inference-service] {"level":"info","ts":1783438337.6072257,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/block"} [e2e-llm-inference-service] {"level":"info","ts":1783438337.6072457,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/mutex"} [e2e-llm-inference-service] {"level":"info","ts":1783438337.607251,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/"} [e2e-llm-inference-service] {"level":"info","ts":1783438337.6072555,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/profile"} [e2e-llm-inference-service] {"level":"info","ts":1783438337.6072607,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/heap"} [e2e-llm-inference-service] {"level":"info","ts":1783438337.607265,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/threadcreate"} [e2e-llm-inference-service] {"level":"info","ts":1783438337.6072705,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/cmdline"} [e2e-llm-inference-service] {"level":"info","ts":1783438337.6072748,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/symbol"} [e2e-llm-inference-service] {"level":"info","ts":1783438337.6072798,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/trace"} [e2e-llm-inference-service] {"level":"info","ts":1783438337.6072845,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/goroutine"} [e2e-llm-inference-service] {"level":"info","ts":1783438337.60729,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/allocs"} [e2e-llm-inference-service] {"level":"info","ts":1783438337.6072984,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/plugins/state"} [e2e-llm-inference-service] {"level":"info","ts":1783438337.6073034,"logger":"setup","caller":"runner/runner.go:373","msg":"parsed config","scheduler-config":"{ProfileHandler: single-profile-handler/single-profile-handler, Profiles: map[default:{Filters: [], Scorers: [queue-scorer/queue-scorer: 2.000000, prefix-cache-scorer/prefix-cache-scorer: 3.000000], Picker: max-score-picker/max-score-picker}]}"} [e2e-llm-inference-service] {"level":"info","ts":1783438337.607353,"logger":"setup","caller":"datalayer/runtime.go:99","msg":"Configuring datalayer runtime","numSources":1} [e2e-llm-inference-service] {"level":"info","ts":1783438337.607363,"logger":"setup","caller":"datalayer/runtime.go:118","msg":"Processing source","source":"metrics-data-source","numExtractors":1} [e2e-llm-inference-service] {"level":"info","ts":1783438337.6073792,"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":1783438337.6073935,"logger":"setup","caller":"datalayer/runtime.go:206","msg":"Datalayer runtime configured","pollers":1,"notifiers":0,"endpointSources":0} [e2e-llm-inference-service] {"level":"info","ts":1783438337.6074038,"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":1783438337.6075227,"logger":"setup","caller":"runner/runner.go:721","msg":"ExtProc server runner added to manager."} [e2e-llm-inference-service] {"level":"info","ts":1783438337.6075382,"logger":"setup","caller":"runner/runner.go:260","msg":"Controller manager starting"} [e2e-llm-inference-service] {"level":"info","ts":1783438337.607584,"logger":"controller-runtime.metrics","caller":"server/server.go:208","msg":"Starting metrics server"} [e2e-llm-inference-service] {"level":"info","ts":1783438337.607808,"caller":"runnable/grpc.go:35","msg":"gRPC server starting","name":"health"} [e2e-llm-inference-service] {"level":"info","ts":1783438337.607896,"caller":"runnable/grpc.go:43","msg":"gRPC server listening","name":"health","port":9003} [e2e-llm-inference-service] {"level":"info","ts":1783438337.607996,"logger":"controller-runtime.metrics","caller":"server/server.go:247","msg":"Serving metrics server","bindAddress":":9090","secure":false} [e2e-llm-inference-service] {"level":"info","ts":1783438337.6082206,"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":1783438337.6083179,"caller":"controller/controller.go:370","msg":"Starting EventSource","controller":"inferencemodelrewrite","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceModelRewrite","source":"kind source: *v1alpha2.InferenceModelRewrite"} [e2e-llm-inference-service] {"level":"info","ts":1783438337.6085203,"caller":"controller/controller.go:370","msg":"Starting EventSource","controller":"inferenceobjective","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceObjective","source":"kind source: *v1alpha2.InferenceObjective"} [e2e-llm-inference-service] {"level":"info","ts":1783438337.6087744,"caller":"runnable/grpc.go:35","msg":"gRPC server starting","name":"ext-proc"} [e2e-llm-inference-service] {"level":"info","ts":1783438337.6088495,"caller":"runnable/grpc.go:43","msg":"gRPC server listening","name":"ext-proc","port":9002} [e2e-llm-inference-service] {"level":"info","ts":1783438337.608876,"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":1783438337.6173613,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1alpha2.InferenceObjective","reflector":"pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1783438337.6173904,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1alpha2.InferenceModelRewrite","reflector":"pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1783438337.6175013,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1.InferencePool","reflector":"pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1783438337.619799,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1.Pod","reflector":"pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1783438337.709413,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"inferenceobjective","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceObjective"} [e2e-llm-inference-service] {"level":"info","ts":1783438337.7094774,"caller":"controller/controller.go:306","msg":"Starting workers","controller":"inferenceobjective","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceObjective","worker count":1} [e2e-llm-inference-service] {"level":"info","ts":1783438337.7095592,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"inferencemodelrewrite","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceModelRewrite"} [e2e-llm-inference-service] {"level":"info","ts":1783438337.7096045,"caller":"controller/controller.go:306","msg":"Starting workers","controller":"inferencemodelrewrite","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceModelRewrite","worker count":1} [e2e-llm-inference-service] {"level":"info","ts":1783438337.7096045,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"inferencepool","controllerGroup":"inference.networking.k8s.io","controllerKind":"InferencePool"} [e2e-llm-inference-service] {"level":"info","ts":1783438337.7096443,"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":1783438337.709843,"caller":"controller/inferencepool_reconciler.go:46","msg":"Reconciling InferencePool","controller":"inferencepool","controllerGroup":"inference.networking.k8s.io","controllerKind":"InferencePool","InferencePool":{"name":"custom-route-timeout-test-inference-pool","namespace":"kserve-ci-e2e-test"},"namespace":"kserve-ci-e2e-test","name":"custom-route-timeout-test-inference-pool","reconcileID":"dabbcc77-065c-41c7-a0b8-e4d93c0f1110"} [e2e-llm-inference-service] {"level":"info","ts":1783438337.80992,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"pod","controllerGroup":"","controllerKind":"Pod"} [e2e-llm-inference-service] {"level":"info","ts":1783438337.8099732,"caller":"controller/controller.go:306","msg":"Starting workers","controller":"pod","controllerGroup":"","controllerKind":"Pod","worker count":1} [e2e-llm-inference-service] {"level":"info","ts":1783438348.0526483,"caller":"controller/inferencepool_reconciler.go:46","msg":"Reconciling InferencePool","controller":"inferencepool","controllerGroup":"inference.networking.k8s.io","controllerKind":"InferencePool","InferencePool":{"name":"custom-route-timeout-test-inference-pool","namespace":"kserve-ci-e2e-test"},"namespace":"kserve-ci-e2e-test","name":"custom-route-timeout-test-inference-pool","reconcileID":"c94c435e-06d8-402c-b116-4523c9521ec9"} [e2e-llm-inference-service] {"level":"info","ts":1783438466.1098983,"caller":"controller/pod_reconciler.go:99","msg":"Pod already exists","controller":"pod","controllerGroup":"","controllerKind":"Pod","Pod":{"name":"custom-route-timeout-test-kserve-864979d845-rg778","namespace":"kserve-ci-e2e-test"},"namespace":"kserve-ci-e2e-test","name":"custom-route-timeout-test-kserve-864979d845-rg778","reconcileID":"cde75da0-3657-47a4-afd1-e194d2bb4fc3"} [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-test-epp-service [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 613a85e9-520b-4266-bf0b-34bcb32ce963 [e2e-llm-inference-service] resourceVersion: '44071' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:32:15Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] endpoints.kubernetes.io/managed-by: endpoint-controller [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] endpoints.kubernetes.io/last-change-trigger-time: '2026-07-07T15:32:49Z' [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: '2026-07-07T15:32:49Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/last-change-trigger-time: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/managed-by: {} [e2e-llm-inference-service] f:subsets: {} [e2e-llm-inference-service] subsets: [e2e-llm-inference-service] - addresses: [e2e-llm-inference-service] - ip: 10.133.0.39 [e2e-llm-inference-service] nodeName: ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-router-scheduler-778d465brn76d [e2e-llm-inference-service] uid: e918d794-3d93-4398-9f6e-7b42d68a80e9 [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] port: 9090 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] port: 5557 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] port: 9002 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Endpoints [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 18172a8a-c6da-4e0f-9954-69a81ca95e06 [e2e-llm-inference-service] resourceVersion: '45798' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:32:15Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] endpoints.kubernetes.io/managed-by: endpoint-controller [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] endpoints.kubernetes.io/last-change-trigger-time: '2026-07-07T15:34:26Z' [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: '2026-07-07T15:34:26Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/last-change-trigger-time: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/managed-by: {} [e2e-llm-inference-service] f:subsets: {} [e2e-llm-inference-service] subsets: [e2e-llm-inference-service] - addresses: [e2e-llm-inference-service] - ip: 10.134.0.39 [e2e-llm-inference-service] nodeName: ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-864979d845-rg778 [e2e-llm-inference-service] uid: c7c144cd-bdd9-4379-837c-16e7af4adc45 [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: https [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] appProtocol: https [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Endpoints [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-864979d845-rg778 [e2e-llm-inference-service] generateName: custom-route-timeout-test-kserve-864979d845- [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: c7c144cd-bdd9-4379-837c-16e7af4adc45 [e2e-llm-inference-service] resourceVersion: '45794' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:32:15Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] pod-template-hash: 864979d845 [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] k8s.ovn.org/pod-networks: '{"default":{"ip_addresses":["10.134.0.39/23"],"mac_address":"0a:58:0a:86:00:27","gateway_ips":["10.134.0.1"],"routes":[{"dest":"10.132.0.0/14","nextHop":"10.134.0.1"},{"dest":"172.31.0.0/16","nextHop":"10.134.0.1"},{"dest":"169.254.0.5/32","nextHop":"10.134.0.1"},{"dest":"100.64.0.0/16","nextHop":"10.134.0.1"}],"ip_address":"10.134.0.39/23","gateway_ip":"10.134.0.1","role":"primary"}}' [e2e-llm-inference-service] k8s.v1.cni.cncf.io/network-status: "[{\n \"name\": \"ovn-kubernetes\",\n \ [e2e-llm-inference-service] \ \"interface\": \"eth0\",\n \"ips\": [\n \"10.134.0.39\"\n ],\n\ [e2e-llm-inference-service] \ \"mac\": \"0a:58:0a:86:00:27\",\n \"default\": true,\n \"dns\": {}\n\ [e2e-llm-inference-service] }]" [e2e-llm-inference-service] openshift.io/scc: restricted-v2 [e2e-llm-inference-service] seccomp.security.alpha.kubernetes.io/pod: runtime/default [e2e-llm-inference-service] security.openshift.io/validated-scc-subject-type: user [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: apps/v1 [e2e-llm-inference-service] kind: ReplicaSet [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-864979d845 [e2e-llm-inference-service] uid: d0da3a01-440f-4f20-8761-3ebf31c5aca6 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: ip-10-0-138-195 [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-07T15:32:15Z' [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: '2026-07-07T15:32:15Z' [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":"d0da3a01-440f-4f20-8761-3ebf31c5aca6"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_CACHE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HOME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"TORCHINDUCTOR_CACHE_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"USER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_CPU_KVCACHE_SPACE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_ENABLE_V1_MULTIPROCESSING"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_LOGGING_LEVEL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:startupProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/dev/shm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] k:{"mountPath":"/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:enableServiceLinks: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"dshm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:medium: {} [e2e-llm-inference-service] f:sizeLimit: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"model-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tmp-dir"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: multus-daemon [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-07T15:32:16Z' [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: '2026-07-07T15:34:26Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] k:{"type":"ContainersReady"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Initialized"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"PodReadyToStartContainers"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"PodScheduled"}: [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] k:{"type":"Ready"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:containerStatuses: {} [e2e-llm-inference-service] f:hostIP: {} [e2e-llm-inference-service] f:hostIPs: {} [e2e-llm-inference-service] f:initContainerStatuses: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:phase: {} [e2e-llm-inference-service] f:podIP: {} [e2e-llm-inference-service] f:podIPs: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"ip":"10.134.0.39"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:ip: {} [e2e-llm-inference-service] f:startTime: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] emptyDir: [e2e-llm-inference-service] medium: Memory [e2e-llm-inference-service] sizeLimit: 1Gi [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: custom-route-timeout-test-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: kube-api-access-hwt95 [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@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-hwt95 [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: 1000700000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/bash [e2e-llm-inference-service] - -c [e2e-llm-inference-service] - "if [ -f /etc/profile.d/ibm-aiu-setup.sh ]; then\n source /etc/profile.d/ibm-aiu-setup.sh\n\ [e2e-llm-inference-service] fi\n\nif [ \"$KSERVE_INFER_ROCE\" = \"true\" ]; then\n echo \"Trying to infer\ [e2e-llm-inference-service] \ RoCE configs ... \"\n grep -H . /sys/class/infiniband/*/ports/*/gids/* 2>/dev/null\n\ [e2e-llm-inference-service] \ grep -H . /sys/class/infiniband/*/ports/*/gid_attrs/types/* 2>/dev/null\n\ [e2e-llm-inference-service] \n cat /proc/driver/nvidia/params\n\n KSERVE_INFER_IB_GID_INDEX_GREP=${KSERVE_INFER_IB_GID_INDEX_GREP:-\"\ [e2e-llm-inference-service] RoCE v2\"}\n\n echo \"[Infer RoCE] Discovering active HCAs ...\"\n active_hcas=()\n\ [e2e-llm-inference-service] \ # Loop through all mlx5 devices found in sysfs\n for hca_dir in /sys/class/infiniband/mlx5_*;\ [e2e-llm-inference-service] \ do\n # Ensure it's a directory before proceeding\n if [ -d \"$hca_dir\"\ [e2e-llm-inference-service] \ ]; then\n hca_name=$(basename \"$hca_dir\")\n port_state_file=\"\ [e2e-llm-inference-service] $hca_dir/ports/1/state\" # Assume port 1\n type_file=\"$hca_dir/ports/1/gid_attrs/types/*\"\ [e2e-llm-inference-service] \n\n echo \"[Infer RoCE] Check if the port state file ${port_state_file}\ [e2e-llm-inference-service] \ exists and contains 'ACTIVE'\"\n if [ -f \"$port_state_file\" ] &&\ [e2e-llm-inference-service] \ grep -q \"ACTIVE\" \"$port_state_file\" && grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\"\ [e2e-llm-inference-service] \ ${type_file} 2>/dev/null; then\n echo \"[Infer RoCE] Found active\ [e2e-llm-inference-service] \ HCA: $hca_name\"\n active_hcas+=(\"$hca_name\")\n else\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Skipping inactive or down HCA: $hca_name\"\ [e2e-llm-inference-service] \n fi\n fi\n done\n\n # Check if we found any active HCAs\n\ [e2e-llm-inference-service] \ if [ ${#active_hcas[@]} -gt 0 ]; then\n # Join the array elements with\ [e2e-llm-inference-service] \ a comma\n hca_port_pairs=()\n for hca in \"${active_hcas[@]}\";\ [e2e-llm-inference-service] \ do\n hca_port_pairs+=(\"${hca}:1\")\n done\n\n active_hca_list=$(IFS=,;\ [e2e-llm-inference-service] \ echo \"${active_hcas[*]}\")\n hca_port_pairs_list=$(IFS=,; echo \"${hca_port_pairs[*]}\"\ [e2e-llm-inference-service] )\n echo \"[Infer RoCE] Setting active HCAs: ${active_hca_list}\"\n \ [e2e-llm-inference-service] \ export NCCL_IB_HCA=${NCCL_IB_HCA:-${active_hca_list}}\n export NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST:-${hca_port_pairs_list}}\n\ [e2e-llm-inference-service] \ export UCX_NET_DEVICES=${UCX_NET_DEVICES:-${hca_port_pairs_list}}\n\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] NCCL_IB_HCA=${NCCL_IB_HCA}\"\n echo \"[Infer\ [e2e-llm-inference-service] \ RoCE] NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST}\"\n echo \"[Infer RoCE] UCX_NET_DEVICES=${UCX_NET_DEVICES}\"\ [e2e-llm-inference-service] \n else\n echo \"[Infer RoCE] WARNING: No active RoCE HCAs found. NCCL_IB_HCA\ [e2e-llm-inference-service] \ will not be set.\"\n fi\n\n if [ ${#active_hcas[@]} -gt 0 ]; then\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Finding GID_INDEX for each active HCA (SR-IOV compatible)...\"\ [e2e-llm-inference-service] \n\n # For SR-IOV environments, find the most common IPv4 RoCE v2 GID index\ [e2e-llm-inference-service] \ across all HCAs\n declare -A gid_index_count\n declare -A hca_gid_index\n\ [e2e-llm-inference-service] \n for hca_name in \"${active_hcas[@]}\"; do\n echo \"[Infer RoCE]\ [e2e-llm-inference-service] \ Processing HCA: ${hca_name}\"\n\n # Find all RoCE v2 IPv4 GIDs for\ [e2e-llm-inference-service] \ this HCA and count by index\n for tpath in /sys/class/infiniband/${hca_name}/ports/1/gid_attrs/types/*;\ [e2e-llm-inference-service] \ do\n if grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\" \"$tpath\"\ [e2e-llm-inference-service] \ 2>/dev/null; then\n idx=$(basename \"$tpath\")\n \ [e2e-llm-inference-service] \ gid_file=\"/sys/class/infiniband/${hca_name}/ports/1/gids/${idx}\"\ [e2e-llm-inference-service] \n # Check for IPv4 GID (contains ffff:)\n \ [e2e-llm-inference-service] \ if [ -f \"$gid_file\" ] && grep -q \"ffff:\" \"$gid_file\"; then\n \ [e2e-llm-inference-service] \ gid_value=$(cat \"$gid_file\" 2>/dev/null || echo \"\")\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Found IPv4 RoCE v2 GID for ${hca_name}:\ [e2e-llm-inference-service] \ index=${idx}, gid=${gid_value}\"\n hca_gid_index[\"${hca_name}\"\ [e2e-llm-inference-service] ]=\"${idx}\"\n gid_index_count[\"${idx}\"]=$((${gid_index_count[\"\ [e2e-llm-inference-service] ${idx}\"]} + 1))\n break # Use first found IPv4 GID per\ [e2e-llm-inference-service] \ HCA\n fi\n fi\n done\n done\n\n\ [e2e-llm-inference-service] \ # Find the most common GID index (most likely to be consistent across\ [e2e-llm-inference-service] \ nodes)\n best_gid_index=\"\"\n max_count=0\n for idx in \"\ [e2e-llm-inference-service] ${!gid_index_count[@]}\"; do\n count=${gid_index_count[\"${idx}\"]}\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] GID_INDEX ${idx} found on ${count} HCAs\"\n \ [e2e-llm-inference-service] \ if [ $count -gt $max_count ]; then\n max_count=$count\n\ [e2e-llm-inference-service] \ best_gid_index=\"$idx\"\n fi\n done\n\n #\ [e2e-llm-inference-service] \ Use deterministic fallback if tied - prefer index 3 (SR-IOV standard)\n \ [e2e-llm-inference-service] \ if [ ${#gid_index_count[@]} -gt 1 ]; then\n echo \"[Infer RoCE]\ [e2e-llm-inference-service] \ Multiple GID indices found, selecting most common: ${best_gid_index}\"\n \ [e2e-llm-inference-service] \ # If there's a tie, prefer index 3 as it's most common in SR-IOV setups\n\ [e2e-llm-inference-service] \ if [ -n \"${gid_index_count['3']}\" ] && [ \"${gid_index_count['3']}\"\ [e2e-llm-inference-service] \ -eq \"$max_count\" ]; then\n best_gid_index=\"3\"\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using deterministic fallback: GID_INDEX=3 (SR-IOV\ [e2e-llm-inference-service] \ standard)\"\n fi\n fi\n\n # Check if GID_INDEX is already\ [e2e-llm-inference-service] \ set via environment variables\n if [ -n \"${NCCL_IB_GID_INDEX}\" ]; then\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using pre-configured NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ from environment\"\n export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using pre-configured GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ for NCCL, NVSHMEM, and UCX\"\n elif [ -n \"$best_gid_index\" ]; then\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Selected GID_INDEX: ${best_gid_index} (found\ [e2e-llm-inference-service] \ on ${max_count} HCAs)\"\n\n export NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$best_gid_index}\n\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Exported GID_INDEX=${best_gid_index} for NCCL,\ [e2e-llm-inference-service] \ NVSHMEM, and UCX\"\n else\n echo \"[Infer RoCE] ERROR: No valid\ [e2e-llm-inference-service] \ IPv4 ${KSERVE_INFER_IB_GID_INDEX_GREP} GID_INDEX found on any HCA.\"\n \ [e2e-llm-inference-service] \ fi\n else\n echo \"[Infer RoCE] No active HCAs found, skipping GID_INDEX\ [e2e-llm-inference-service] \ inference.\"\n fi\nfi\n\n# --disable-access-log-for-endpoints landed in vLLM\ [e2e-llm-inference-service] \ 0.16.0 (vllm-project/vllm#30011).\n# Older versions still need the blanket\ [e2e-llm-inference-service] \ --disable-uvicorn-access-log.\nACCESS_LOG_ARGS=\"--disable-uvicorn-access-log\"\ [e2e-llm-inference-service] \nVLLM_VERSION=$(vllm --version 2>/dev/null | tail -1 | awk '{print $NF}')\n\ [e2e-llm-inference-service] echo \"[access-log-detect] vllm version='${VLLM_VERSION}'\"\nif [[ \"$VLLM_VERSION\"\ [e2e-llm-inference-service] \ =~ ^[0-9]+\\.[0-9]+ ]] && [ \"$(printf '%s\\n%s\\n' \"0.16.0\" \"${VLLM_VERSION}\"\ [e2e-llm-inference-service] \ | sort -V | head -1)\" = \"0.16.0\" ]; then\n ACCESS_LOG_ARGS=\"--disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ /health,/metrics,/ping\"\nfi\necho \"[access-log-detect] selected ACCESS_LOG_ARGS='${ACCESS_LOG_ARGS}'\"\ [e2e-llm-inference-service] \n\n# --shutdown-timeout landed in vLLM 0.18.0 (vllm-project/vllm#36666).\n\ [e2e-llm-inference-service] SHUTDOWN_TIMEOUT_ARGS=\"\"\nif [[ \"$VLLM_VERSION\" =~ ^[0-9]+\\.[0-9]+ ]] &&\ [e2e-llm-inference-service] \ [ \"$(printf '%s\\n%s\\n' \"0.18.0\" \"${VLLM_VERSION}\" | sort -V | head\ [e2e-llm-inference-service] \ -1)\" = \"0.18.0\" ]; then\n SHUTDOWN_TIMEOUT_ARGS=\"--shutdown-timeout 40\"\ [e2e-llm-inference-service] \nfi\n\neval \"exec vllm serve /mnt/models \\\n --served-model-name \"facebook/opt-125m\"\ [e2e-llm-inference-service] \ \"publishers/kserve-ci-e2e-test/models/facebook/opt-125m\" \\\n --port 8000\ [e2e-llm-inference-service] \ \\\n ${ACCESS_LOG_ARGS} \\\n ${SHUTDOWN_TIMEOUT_ARGS} \\\n --enable-ssl-refresh\ [e2e-llm-inference-service] \ \\\n --ssl-certfile /var/run/kserve/tls/tls.crt \\\n --ssl-keyfile /var/run/kserve/tls/tls.key\ [e2e-llm-inference-service] \ \\\n ${VLLM_ADDITIONAL_ARGS} \\\n $@\"" [e2e-llm-inference-service] - -- [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: HOME [e2e-llm-inference-service] value: /home [e2e-llm-inference-service] - name: VLLM_LOGGING_LEVEL [e2e-llm-inference-service] value: DEBUG [e2e-llm-inference-service] - name: VLLM_CPU_KVCACHE_SPACE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: VLLM_ENABLE_V1_MULTIPROCESSING [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: USER [e2e-llm-inference-service] value: nonroot [e2e-llm-inference-service] - name: TORCHINDUCTOR_CACHE_DIR [e2e-llm-inference-service] value: /tmp/torchinductor-cache [e2e-llm-inference-service] - name: HF_HUB_CACHE [e2e-llm-inference-service] value: /models [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '2' [e2e-llm-inference-service] memory: 7Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-hwt95 [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: 1000700000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] serviceAccountName: default [e2e-llm-inference-service] serviceAccount: default [e2e-llm-inference-service] nodeName: ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] seLinuxOptions: [e2e-llm-inference-service] level: s0:c26,c25 [e2e-llm-inference-service] fsGroup: 1000700000 [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-thd6c [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: '2026-07-07T15:32:16Z' [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: '2026-07-07T15:32:20Z' [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: '2026-07-07T15:34:26Z' [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: '2026-07-07T15:34:26Z' [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: '2026-07-07T15:32:15Z' [e2e-llm-inference-service] hostIP: 10.0.138.195 [e2e-llm-inference-service] hostIPs: [e2e-llm-inference-service] - ip: 10.0.138.195 [e2e-llm-inference-service] podIP: 10.134.0.39 [e2e-llm-inference-service] podIPs: [e2e-llm-inference-service] - ip: 10.134.0.39 [e2e-llm-inference-service] startTime: '2026-07-07T15:32:15Z' [e2e-llm-inference-service] initContainerStatuses: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] state: [e2e-llm-inference-service] terminated: [e2e-llm-inference-service] exitCode: 0 [e2e-llm-inference-service] reason: Completed [e2e-llm-inference-service] startedAt: '2026-07-07T15:32:16Z' [e2e-llm-inference-service] finishedAt: '2026-07-07T15:32:20Z' [e2e-llm-inference-service] containerID: cri-o://b001b94cdfed8e6cff6df495203a0753d3371793bf856da1a690668f593f4efc [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [e2e-llm-inference-service] imageID: quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [e2e-llm-inference-service] containerID: cri-o://b001b94cdfed8e6cff6df495203a0753d3371793bf856da1a690668f593f4efc [e2e-llm-inference-service] started: false [e2e-llm-inference-service] allocatedResources: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-hwt95 [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: 1000700000 [e2e-llm-inference-service] gid: 0 [e2e-llm-inference-service] supplementalGroups: [e2e-llm-inference-service] - 0 [e2e-llm-inference-service] - 1000700000 [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: '2026-07-07T15:32:20Z' [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] imageID: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo@sha256:afb39fca138b51d019d986229d546531b45a2a3deb73bcf59bd42406e13fbba0 [e2e-llm-inference-service] containerID: cri-o://383a6422dbb7203dea77172d94b54dd1870eaeae5a5f243e6d82777c61f932f9 [e2e-llm-inference-service] started: true [e2e-llm-inference-service] allocatedResources: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '2' [e2e-llm-inference-service] memory: 7Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] - name: kube-api-access-hwt95 [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: 1000700000 [e2e-llm-inference-service] gid: 0 [e2e-llm-inference-service] supplementalGroups: [e2e-llm-inference-service] - 0 [e2e-llm-inference-service] - 1000700000 [e2e-llm-inference-service] qosClass: Burstable [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-router-scheduler-778d465brn76d [e2e-llm-inference-service] generateName: custom-route-timeout-test-kserve-router-scheduler-778d465b5b- [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: e918d794-3d93-4398-9f6e-7b42d68a80e9 [e2e-llm-inference-service] resourceVersion: '44070' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:32:15Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 778d465b5b [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] app.kubernetes.io/version: 0.9.0 [e2e-llm-inference-service] certificates.kserve.io/expiration-v2: 'true' [e2e-llm-inference-service] k8s.ovn.org/pod-networks: '{"default":{"ip_addresses":["10.133.0.39/23"],"mac_address":"0a:58:0a:85:00:27","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":"10.133.0.39/23","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 \"10.133.0.39\"\n ],\n\ [e2e-llm-inference-service] \ \"mac\": \"0a:58:0a:85:00:27\",\n \"default\": true,\n \"dns\": {}\n\ [e2e-llm-inference-service] }]" [e2e-llm-inference-service] openshift.io/scc: restricted-v2 [e2e-llm-inference-service] seccomp.security.alpha.kubernetes.io/pod: runtime/default [e2e-llm-inference-service] security.openshift.io/validated-scc-subject-type: user [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: apps/v1 [e2e-llm-inference-service] kind: ReplicaSet [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-router-scheduler-778d465b5b [e2e-llm-inference-service] uid: d76bdc19-b52c-4d72-b253-c70be84327be [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-07T15:32:15Z' [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":"d76bdc19-b52c-4d72-b253-c70be84327be"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"SSL_CERT_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":5557,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9002,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9003,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9090,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp/tokenizer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:enableServiceLinks: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"STORAGE_ALLOW_PATTERNS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:serviceAccount: {} [e2e-llm-inference-service] f:serviceAccountName: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tokenizer-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-uds"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: ip-10-0-129-71 [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-07T15:32:16Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] f:k8s.ovn.org/pod-networks: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] - manager: multus-daemon [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-07T15:32:16Z' [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: '2026-07-07T15:32:49Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] k:{"type":"ContainersReady"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Initialized"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"PodReadyToStartContainers"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"PodScheduled"}: [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] k:{"type":"Ready"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:containerStatuses: {} [e2e-llm-inference-service] f:hostIP: {} [e2e-llm-inference-service] f:hostIPs: {} [e2e-llm-inference-service] f:initContainerStatuses: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:phase: {} [e2e-llm-inference-service] f:podIP: {} [e2e-llm-inference-service] f:podIPs: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"ip":"10.133.0.39"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:ip: {} [e2e-llm-inference-service] f:startTime: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: custom-route-timeout-test-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-tmp [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: kube-api-access-vrrn2 [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@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] - name: STORAGE_ALLOW_PATTERNS [e2e-llm-inference-service] value: '["tokenizer.json", "tokenizer_config.json", "special_tokens_map.json", [e2e-llm-inference-service] "vocab.json", "merges.txt", "config.json", "generation_config.json"]' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-vrrn2 [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: 1000700000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/epp [e2e-llm-inference-service] - --pool-name [e2e-llm-inference-service] - custom-route-timeout-test-inference-pool [e2e-llm-inference-service] - --pool-namespace [e2e-llm-inference-service] - kserve-ci-e2e-test [e2e-llm-inference-service] - --zap-encoder [e2e-llm-inference-service] - json [e2e-llm-inference-service] - --grpc-port [e2e-llm-inference-service] - '9002' [e2e-llm-inference-service] - --grpc-health-port [e2e-llm-inference-service] - '9003' [e2e-llm-inference-service] - --enable-cert-reload=true [e2e-llm-inference-service] - --secure-serving=true [e2e-llm-inference-service] - --model-server-metrics-scheme=https [e2e-llm-inference-service] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --config-text [e2e-llm-inference-service] - "apiVersion: inference.networking.x-k8s.io/v1alpha1\nkind: EndpointPickerConfig\n\ [e2e-llm-inference-service] plugins:\n- type: single-profile-handler\n- type: queue-scorer\n- type: prefix-cache-scorer\n\ [e2e-llm-inference-service] - type: max-score-picker\nschedulingProfiles:\n- name: default\n plugins:\n\ [e2e-llm-inference-service] \ - pluginRef: queue-scorer\n weight: 2\n - pluginRef: prefix-cache-scorer\n\ [e2e-llm-inference-service] \ weight: 3\n - pluginRef: max-score-picker\n" [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] containerPort: 9002 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] containerPort: 9003 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] containerPort: 9090 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] containerPort: 5557 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: SSL_CERT_DIR [e2e-llm-inference-service] value: /var/run/kserve/tls:/var/run/secrets/kubernetes.io/serviceaccount:/etc/pki/tls/certs [e2e-llm-inference-service] resources: [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] mountPath: /tmp/tokenizer [e2e-llm-inference-service] - name: kube-api-access-vrrn2 [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: 1000700000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] serviceAccountName: custom-route-timeout-test-epp-sa [e2e-llm-inference-service] serviceAccount: custom-route-timeout-test-epp-sa [e2e-llm-inference-service] nodeName: ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] seLinuxOptions: [e2e-llm-inference-service] level: s0:c26,c25 [e2e-llm-inference-service] fsGroup: 1000700000 [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-thd6c [e2e-llm-inference-service] - name: custom-route-timeout-test-epp-sa-dockercfg-qfmzd [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: '2026-07-07T15:32:17Z' [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: '2026-07-07T15:32:17Z' [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: '2026-07-07T15:32:49Z' [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: '2026-07-07T15:32:49Z' [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: '2026-07-07T15:32:15Z' [e2e-llm-inference-service] hostIP: 10.0.129.71 [e2e-llm-inference-service] hostIPs: [e2e-llm-inference-service] - ip: 10.0.129.71 [e2e-llm-inference-service] podIP: 10.133.0.39 [e2e-llm-inference-service] podIPs: [e2e-llm-inference-service] - ip: 10.133.0.39 [e2e-llm-inference-service] startTime: '2026-07-07T15:32:16Z' [e2e-llm-inference-service] initContainerStatuses: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] state: [e2e-llm-inference-service] terminated: [e2e-llm-inference-service] exitCode: 0 [e2e-llm-inference-service] reason: Completed [e2e-llm-inference-service] startedAt: '2026-07-07T15:32:16Z' [e2e-llm-inference-service] finishedAt: '2026-07-07T15:32:17Z' [e2e-llm-inference-service] containerID: cri-o://91df6b5c473589fda6b24817e748c370957db323fab8b29664bda48bad14b014 [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [e2e-llm-inference-service] imageID: quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [e2e-llm-inference-service] containerID: cri-o://91df6b5c473589fda6b24817e748c370957db323fab8b29664bda48bad14b014 [e2e-llm-inference-service] started: false [e2e-llm-inference-service] allocatedResources: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-vrrn2 [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: 1000700000 [e2e-llm-inference-service] gid: 0 [e2e-llm-inference-service] supplementalGroups: [e2e-llm-inference-service] - 0 [e2e-llm-inference-service] - 1000700000 [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: '2026-07-07T15:32:17Z' [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2 [e2e-llm-inference-service] imageID: ghcr.io/llm-d/llm-d-router-endpoint-picker@sha256:06b6c75d77afd0e07053402752a9736c2dfbc12a306d0d37d963aac4c1d4e6a6 [e2e-llm-inference-service] containerID: cri-o://12a342ce700700986d5ce5ffc0846474d583e1231c94abff778b742d575a2f58 [e2e-llm-inference-service] started: true [e2e-llm-inference-service] allocatedResources: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] resources: [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] mountPath: /tmp/tokenizer [e2e-llm-inference-service] - name: kube-api-access-vrrn2 [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: 1000700000 [e2e-llm-inference-service] gid: 0 [e2e-llm-inference-service] supplementalGroups: [e2e-llm-inference-service] - 0 [e2e-llm-inference-service] - 1000700000 [e2e-llm-inference-service] qosClass: Burstable [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-test-epp-sa [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 1b2eaf30-2aaf-4afb-b835-1a3249855e78 [e2e-llm-inference-service] resourceVersion: '43411' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:32:15Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] openshift.io/internal-registry-pull-secret-ref: custom-route-timeout-test-epp-sa-dockercfg-qfmzd [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-test [e2e-llm-inference-service] uid: 7809bcbf-9cf6-4f9e-a342-a8a0c5eddcb5 [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: '2026-07-07T15:32:15Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:imagePullSecrets: {} [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] f:openshift.io/internal-registry-pull-secret-ref: {} [e2e-llm-inference-service] f:secrets: [e2e-llm-inference-service] k:{"name":"custom-route-timeout-test-epp-sa-dockercfg-qfmzd"}: {} [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-07T15:32:15Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [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":"7809bcbf-9cf6-4f9e-a342-a8a0c5eddcb5"}: {} [e2e-llm-inference-service] f:secrets: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"default-dockercfg-thd6c"}: {} [e2e-llm-inference-service] k:{"name":"seaweedfs-s3-creds"}: {} [e2e-llm-inference-service] secrets: [e2e-llm-inference-service] - name: default-dockercfg-thd6c [e2e-llm-inference-service] - name: seaweedfs-s3-creds [e2e-llm-inference-service] - name: custom-route-timeout-test-epp-sa-dockercfg-qfmzd [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-thd6c [e2e-llm-inference-service] - name: custom-route-timeout-test-epp-sa-dockercfg-qfmzd [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: ServiceAccount [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-test-epp-service [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: f363dd9c-a21a-499f-aee0-8fc5617d8a9b [e2e-llm-inference-service] resourceVersion: '43436' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:32:15Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-test [e2e-llm-inference-service] uid: 7809bcbf-9cf6-4f9e-a342-a8a0c5eddcb5 [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: '2026-07-07T15:32:15Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [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":"7809bcbf-9cf6-4f9e-a342-a8a0c5eddcb5"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:internalTrafficPolicy: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"port":5557,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:targetPort: {} [e2e-llm-inference-service] k:{"port":9002,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:targetPort: {} [e2e-llm-inference-service] k:{"port":9003,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:targetPort: {} [e2e-llm-inference-service] k:{"port":9090,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:targetPort: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:sessionAffinity: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] spec: [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9002 [e2e-llm-inference-service] targetPort: grpc [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] targetPort: grpc-health [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9090 [e2e-llm-inference-service] targetPort: metrics [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 5557 [e2e-llm-inference-service] targetPort: zmq [e2e-llm-inference-service] selector: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] clusterIP: 172.31.199.211 [e2e-llm-inference-service] clusterIPs: [e2e-llm-inference-service] - 172.31.199.211 [e2e-llm-inference-service] type: ClusterIP [e2e-llm-inference-service] sessionAffinity: None [e2e-llm-inference-service] ipFamilies: [e2e-llm-inference-service] - IPv4 [e2e-llm-inference-service] ipFamilyPolicy: SingleStack [e2e-llm-inference-service] internalTrafficPolicy: Cluster [e2e-llm-inference-service] status: [e2e-llm-inference-service] loadBalancer: {} [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: a4fb2b39-1978-46db-bf0a-0e11a0244dc3 [e2e-llm-inference-service] resourceVersion: '43402' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:32:15Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-test [e2e-llm-inference-service] uid: 7809bcbf-9cf6-4f9e-a342-a8a0c5eddcb5 [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: '2026-07-07T15:32:15Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [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":"7809bcbf-9cf6-4f9e-a342-a8a0c5eddcb5"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:internalTrafficPolicy: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"port":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:appProtocol: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:targetPort: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:sessionAffinity: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] spec: [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: https [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] appProtocol: https [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] targetPort: 8000 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] clusterIP: 172.31.225.117 [e2e-llm-inference-service] clusterIPs: [e2e-llm-inference-service] - 172.31.225.117 [e2e-llm-inference-service] type: ClusterIP [e2e-llm-inference-service] sessionAffinity: None [e2e-llm-inference-service] ipFamilies: [e2e-llm-inference-service] - IPv4 [e2e-llm-inference-service] ipFamilyPolicy: SingleStack [e2e-llm-inference-service] internalTrafficPolicy: Cluster [e2e-llm-inference-service] status: [e2e-llm-inference-service] loadBalancer: {} [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-test-kserve [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 59da8038-3bde-476a-8d30-7a46fd73e5af [e2e-llm-inference-service] resourceVersion: '45800' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:32:15Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] deployment.kubernetes.io/revision: '1' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-test [e2e-llm-inference-service] uid: 7809bcbf-9cf6-4f9e-a342-a8a0c5eddcb5 [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: '2026-07-07T15:32:15Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [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":"7809bcbf-9cf6-4f9e-a342-a8a0c5eddcb5"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:progressDeadlineSeconds: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:revisionHistoryLimit: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:strategy: [e2e-llm-inference-service] f:rollingUpdate: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:maxSurge: {} [e2e-llm-inference-service] f:maxUnavailable: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:template: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:llm-d.ai/role: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_CACHE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HOME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"TORCHINDUCTOR_CACHE_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"USER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_CPU_KVCACHE_SPACE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_ENABLE_V1_MULTIPROCESSING"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_LOGGING_LEVEL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:startupProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/dev/shm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] k:{"mountPath":"/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"dshm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:medium: {} [e2e-llm-inference-service] f:sizeLimit: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"model-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tmp-dir"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-07T15:34:26Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/revision: {} [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:availableReplicas: {} [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"type":"Available"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:lastUpdateTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Progressing"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:lastUpdateTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:readyReplicas: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:updatedReplicas: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] template: [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] emptyDir: [e2e-llm-inference-service] medium: Memory [e2e-llm-inference-service] sizeLimit: 1Gi [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: custom-route-timeout-test-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/bash [e2e-llm-inference-service] - -c [e2e-llm-inference-service] - "if [ -f /etc/profile.d/ibm-aiu-setup.sh ]; then\n source /etc/profile.d/ibm-aiu-setup.sh\n\ [e2e-llm-inference-service] fi\n\nif [ \"$KSERVE_INFER_ROCE\" = \"true\" ]; then\n echo \"Trying to\ [e2e-llm-inference-service] \ infer RoCE configs ... \"\n grep -H . /sys/class/infiniband/*/ports/*/gids/*\ [e2e-llm-inference-service] \ 2>/dev/null\n grep -H . /sys/class/infiniband/*/ports/*/gid_attrs/types/*\ [e2e-llm-inference-service] \ 2>/dev/null\n\n cat /proc/driver/nvidia/params\n\n KSERVE_INFER_IB_GID_INDEX_GREP=${KSERVE_INFER_IB_GID_INDEX_GREP:-\"\ [e2e-llm-inference-service] RoCE v2\"}\n\n echo \"[Infer RoCE] Discovering active HCAs ...\"\n active_hcas=()\n\ [e2e-llm-inference-service] \ # Loop through all mlx5 devices found in sysfs\n for hca_dir in /sys/class/infiniband/mlx5_*;\ [e2e-llm-inference-service] \ do\n # Ensure it's a directory before proceeding\n if [ -d \"\ [e2e-llm-inference-service] $hca_dir\" ]; then\n hca_name=$(basename \"$hca_dir\")\n \ [e2e-llm-inference-service] \ port_state_file=\"$hca_dir/ports/1/state\" # Assume port 1\n \ [e2e-llm-inference-service] \ type_file=\"$hca_dir/ports/1/gid_attrs/types/*\"\n\n echo\ [e2e-llm-inference-service] \ \"[Infer RoCE] Check if the port state file ${port_state_file} exists\ [e2e-llm-inference-service] \ and contains 'ACTIVE'\"\n if [ -f \"$port_state_file\" ] && grep\ [e2e-llm-inference-service] \ -q \"ACTIVE\" \"$port_state_file\" && grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\"\ [e2e-llm-inference-service] \ ${type_file} 2>/dev/null; then\n echo \"[Infer RoCE] Found\ [e2e-llm-inference-service] \ active HCA: $hca_name\"\n active_hcas+=(\"$hca_name\")\n\ [e2e-llm-inference-service] \ else\n echo \"[Infer RoCE] Skipping inactive or\ [e2e-llm-inference-service] \ down HCA: $hca_name\"\n fi\n fi\n done\n\n # Check if\ [e2e-llm-inference-service] \ we found any active HCAs\n if [ ${#active_hcas[@]} -gt 0 ]; then\n \ [e2e-llm-inference-service] \ # Join the array elements with a comma\n hca_port_pairs=()\n \ [e2e-llm-inference-service] \ for hca in \"${active_hcas[@]}\"; do\n hca_port_pairs+=(\"\ [e2e-llm-inference-service] ${hca}:1\")\n done\n\n active_hca_list=$(IFS=,; echo \"${active_hcas[*]}\"\ [e2e-llm-inference-service] )\n hca_port_pairs_list=$(IFS=,; echo \"${hca_port_pairs[*]}\")\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Setting active HCAs: ${active_hca_list}\"\n \ [e2e-llm-inference-service] \ export NCCL_IB_HCA=${NCCL_IB_HCA:-${active_hca_list}}\n export\ [e2e-llm-inference-service] \ NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST:-${hca_port_pairs_list}}\n export\ [e2e-llm-inference-service] \ UCX_NET_DEVICES=${UCX_NET_DEVICES:-${hca_port_pairs_list}}\n\n echo\ [e2e-llm-inference-service] \ \"[Infer RoCE] NCCL_IB_HCA=${NCCL_IB_HCA}\"\n echo \"[Infer RoCE]\ [e2e-llm-inference-service] \ NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST}\"\n echo \"[Infer RoCE] UCX_NET_DEVICES=${UCX_NET_DEVICES}\"\ [e2e-llm-inference-service] \n else\n echo \"[Infer RoCE] WARNING: No active RoCE HCAs found.\ [e2e-llm-inference-service] \ NCCL_IB_HCA will not be set.\"\n fi\n\n if [ ${#active_hcas[@]} -gt\ [e2e-llm-inference-service] \ 0 ]; then\n echo \"[Infer RoCE] Finding GID_INDEX for each active\ [e2e-llm-inference-service] \ HCA (SR-IOV compatible)...\"\n\n # For SR-IOV environments, find\ [e2e-llm-inference-service] \ the most common IPv4 RoCE v2 GID index across all HCAs\n declare\ [e2e-llm-inference-service] \ -A gid_index_count\n declare -A hca_gid_index\n\n for hca_name\ [e2e-llm-inference-service] \ in \"${active_hcas[@]}\"; do\n echo \"[Infer RoCE] Processing\ [e2e-llm-inference-service] \ HCA: ${hca_name}\"\n\n # Find all RoCE v2 IPv4 GIDs for this\ [e2e-llm-inference-service] \ HCA and count by index\n for tpath in /sys/class/infiniband/${hca_name}/ports/1/gid_attrs/types/*;\ [e2e-llm-inference-service] \ do\n if grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\" \"\ [e2e-llm-inference-service] $tpath\" 2>/dev/null; then\n idx=$(basename \"$tpath\"\ [e2e-llm-inference-service] )\n gid_file=\"/sys/class/infiniband/${hca_name}/ports/1/gids/${idx}\"\ [e2e-llm-inference-service] \n # Check for IPv4 GID (contains ffff:)\n \ [e2e-llm-inference-service] \ if [ -f \"$gid_file\" ] && grep -q \"ffff:\" \"$gid_file\"; then\n\ [e2e-llm-inference-service] \ gid_value=$(cat \"$gid_file\" 2>/dev/null || echo\ [e2e-llm-inference-service] \ \"\")\n echo \"[Infer RoCE] Found IPv4 RoCE v2 GID\ [e2e-llm-inference-service] \ for ${hca_name}: index=${idx}, gid=${gid_value}\"\n \ [e2e-llm-inference-service] \ hca_gid_index[\"${hca_name}\"]=\"${idx}\"\n gid_index_count[\"\ [e2e-llm-inference-service] ${idx}\"]=$((${gid_index_count[\"${idx}\"]} + 1))\n \ [e2e-llm-inference-service] \ break # Use first found IPv4 GID per HCA\n fi\n \ [e2e-llm-inference-service] \ fi\n done\n done\n\n # Find the most common\ [e2e-llm-inference-service] \ GID index (most likely to be consistent across nodes)\n best_gid_index=\"\ [e2e-llm-inference-service] \"\n max_count=0\n for idx in \"${!gid_index_count[@]}\"; do\n\ [e2e-llm-inference-service] \ count=${gid_index_count[\"${idx}\"]}\n echo \"[Infer\ [e2e-llm-inference-service] \ RoCE] GID_INDEX ${idx} found on ${count} HCAs\"\n if [ $count\ [e2e-llm-inference-service] \ -gt $max_count ]; then\n max_count=$count\n \ [e2e-llm-inference-service] \ best_gid_index=\"$idx\"\n fi\n done\n\n # Use deterministic\ [e2e-llm-inference-service] \ fallback if tied - prefer index 3 (SR-IOV standard)\n if [ ${#gid_index_count[@]}\ [e2e-llm-inference-service] \ -gt 1 ]; then\n echo \"[Infer RoCE] Multiple GID indices found,\ [e2e-llm-inference-service] \ selecting most common: ${best_gid_index}\"\n # If there's a tie,\ [e2e-llm-inference-service] \ prefer index 3 as it's most common in SR-IOV setups\n if [ -n\ [e2e-llm-inference-service] \ \"${gid_index_count['3']}\" ] && [ \"${gid_index_count['3']}\" -eq \"\ [e2e-llm-inference-service] $max_count\" ]; then\n best_gid_index=\"3\"\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using deterministic fallback: GID_INDEX=3 (SR-IOV\ [e2e-llm-inference-service] \ standard)\"\n fi\n fi\n\n # Check if GID_INDEX is already\ [e2e-llm-inference-service] \ set via environment variables\n if [ -n \"${NCCL_IB_GID_INDEX}\"\ [e2e-llm-inference-service] \ ]; then\n echo \"[Infer RoCE] Using pre-configured NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ from environment\"\n export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using pre-configured GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ for NCCL, NVSHMEM, and UCX\"\n elif [ -n \"$best_gid_index\" ]; then\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Selected GID_INDEX: ${best_gid_index} (found\ [e2e-llm-inference-service] \ on ${max_count} HCAs)\"\n\n export NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \n echo \"[Infer RoCE] Exported GID_INDEX=${best_gid_index} for\ [e2e-llm-inference-service] \ NCCL, NVSHMEM, and UCX\"\n else\n echo \"[Infer RoCE] ERROR:\ [e2e-llm-inference-service] \ No valid IPv4 ${KSERVE_INFER_IB_GID_INDEX_GREP} GID_INDEX found on any\ [e2e-llm-inference-service] \ HCA.\"\n fi\n else\n echo \"[Infer RoCE] No active HCAs found,\ [e2e-llm-inference-service] \ skipping GID_INDEX inference.\"\n fi\nfi\n\n# --disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ landed in vLLM 0.16.0 (vllm-project/vllm#30011).\n# Older versions still\ [e2e-llm-inference-service] \ need the blanket --disable-uvicorn-access-log.\nACCESS_LOG_ARGS=\"--disable-uvicorn-access-log\"\ [e2e-llm-inference-service] \nVLLM_VERSION=$(vllm --version 2>/dev/null | tail -1 | awk '{print $NF}')\n\ [e2e-llm-inference-service] echo \"[access-log-detect] vllm version='${VLLM_VERSION}'\"\nif [[ \"$VLLM_VERSION\"\ [e2e-llm-inference-service] \ =~ ^[0-9]+\\.[0-9]+ ]] && [ \"$(printf '%s\\n%s\\n' \"0.16.0\" \"${VLLM_VERSION}\"\ [e2e-llm-inference-service] \ | sort -V | head -1)\" = \"0.16.0\" ]; then\n ACCESS_LOG_ARGS=\"--disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ /health,/metrics,/ping\"\nfi\necho \"[access-log-detect] selected ACCESS_LOG_ARGS='${ACCESS_LOG_ARGS}'\"\ [e2e-llm-inference-service] \n\n# --shutdown-timeout landed in vLLM 0.18.0 (vllm-project/vllm#36666).\n\ [e2e-llm-inference-service] SHUTDOWN_TIMEOUT_ARGS=\"\"\nif [[ \"$VLLM_VERSION\" =~ ^[0-9]+\\.[0-9]+\ [e2e-llm-inference-service] \ ]] && [ \"$(printf '%s\\n%s\\n' \"0.18.0\" \"${VLLM_VERSION}\" | sort\ [e2e-llm-inference-service] \ -V | head -1)\" = \"0.18.0\" ]; then\n SHUTDOWN_TIMEOUT_ARGS=\"--shutdown-timeout\ [e2e-llm-inference-service] \ 40\"\nfi\n\neval \"exec vllm serve /mnt/models \\\n --served-model-name\ [e2e-llm-inference-service] \ \"facebook/opt-125m\" \"publishers/kserve-ci-e2e-test/models/facebook/opt-125m\"\ [e2e-llm-inference-service] \ \\\n --port 8000 \\\n ${ACCESS_LOG_ARGS} \\\n ${SHUTDOWN_TIMEOUT_ARGS}\ [e2e-llm-inference-service] \ \\\n --enable-ssl-refresh \\\n --ssl-certfile /var/run/kserve/tls/tls.crt\ [e2e-llm-inference-service] \ \\\n --ssl-keyfile /var/run/kserve/tls/tls.key \\\n ${VLLM_ADDITIONAL_ARGS}\ [e2e-llm-inference-service] \ \\\n $@\"" [e2e-llm-inference-service] - -- [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: HOME [e2e-llm-inference-service] value: /home [e2e-llm-inference-service] - name: VLLM_LOGGING_LEVEL [e2e-llm-inference-service] value: DEBUG [e2e-llm-inference-service] - name: VLLM_CPU_KVCACHE_SPACE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: VLLM_ENABLE_V1_MULTIPROCESSING [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: USER [e2e-llm-inference-service] value: nonroot [e2e-llm-inference-service] - name: TORCHINDUCTOR_CACHE_DIR [e2e-llm-inference-service] value: /tmp/torchinductor-cache [e2e-llm-inference-service] - name: HF_HUB_CACHE [e2e-llm-inference-service] value: /models [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '2' [e2e-llm-inference-service] memory: 7Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 10 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 1 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 2 [e2e-llm-inference-service] startupProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 60 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] securityContext: {} [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] strategy: [e2e-llm-inference-service] type: RollingUpdate [e2e-llm-inference-service] rollingUpdate: [e2e-llm-inference-service] maxUnavailable: 25% [e2e-llm-inference-service] maxSurge: 25% [e2e-llm-inference-service] revisionHistoryLimit: 10 [e2e-llm-inference-service] progressDeadlineSeconds: 600 [e2e-llm-inference-service] status: [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] updatedReplicas: 1 [e2e-llm-inference-service] 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: '2026-07-07T15:34:26Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-07T15:34:26Z' [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: '2026-07-07T15:34:26Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-07T15:32:15Z' [e2e-llm-inference-service] reason: NewReplicaSetAvailable [e2e-llm-inference-service] message: ReplicaSet "custom-route-timeout-test-kserve-864979d845" has successfully [e2e-llm-inference-service] progressed. [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] kind: Deployment [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-router-scheduler [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: ac36b338-162a-4540-8158-df9e9ab70c16 [e2e-llm-inference-service] resourceVersion: '44074' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:32:15Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] deployment.kubernetes.io/revision: '1' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-test [e2e-llm-inference-service] uid: 7809bcbf-9cf6-4f9e-a342-a8a0c5eddcb5 [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: '2026-07-07T15:32:15Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [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":"7809bcbf-9cf6-4f9e-a342-a8a0c5eddcb5"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:progressDeadlineSeconds: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:revisionHistoryLimit: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:strategy: [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:template: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/version: {} [e2e-llm-inference-service] f:certificates.kserve.io/expiration-v2: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"SSL_CERT_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":5557,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9002,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9003,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9090,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp/tokenizer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"STORAGE_ALLOW_PATTERNS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:serviceAccount: {} [e2e-llm-inference-service] f:serviceAccountName: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tokenizer-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-uds"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-07T15:32:49Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/revision: {} [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:availableReplicas: {} [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"type":"Available"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:lastUpdateTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Progressing"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:lastUpdateTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:readyReplicas: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:updatedReplicas: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] template: [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] app.kubernetes.io/version: 0.9.0 [e2e-llm-inference-service] certificates.kserve.io/expiration-v2: 'true' [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: custom-route-timeout-test-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-tmp [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] - name: STORAGE_ALLOW_PATTERNS [e2e-llm-inference-service] value: '["tokenizer.json", "tokenizer_config.json", "special_tokens_map.json", [e2e-llm-inference-service] "vocab.json", "merges.txt", "config.json", "generation_config.json"]' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/epp [e2e-llm-inference-service] - --pool-name [e2e-llm-inference-service] - custom-route-timeout-test-inference-pool [e2e-llm-inference-service] - --pool-namespace [e2e-llm-inference-service] - kserve-ci-e2e-test [e2e-llm-inference-service] - --zap-encoder [e2e-llm-inference-service] - json [e2e-llm-inference-service] - --grpc-port [e2e-llm-inference-service] - '9002' [e2e-llm-inference-service] - --grpc-health-port [e2e-llm-inference-service] - '9003' [e2e-llm-inference-service] - --enable-cert-reload=true [e2e-llm-inference-service] - --secure-serving=true [e2e-llm-inference-service] - --model-server-metrics-scheme=https [e2e-llm-inference-service] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --config-text [e2e-llm-inference-service] - "apiVersion: inference.networking.x-k8s.io/v1alpha1\nkind: EndpointPickerConfig\n\ [e2e-llm-inference-service] plugins:\n- type: single-profile-handler\n- type: queue-scorer\n- type:\ [e2e-llm-inference-service] \ prefix-cache-scorer\n- type: max-score-picker\nschedulingProfiles:\n-\ [e2e-llm-inference-service] \ name: default\n plugins:\n - pluginRef: queue-scorer\n weight: 2\n\ [e2e-llm-inference-service] \ - pluginRef: prefix-cache-scorer\n weight: 3\n - pluginRef: max-score-picker\n" [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] containerPort: 9002 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] containerPort: 9003 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] containerPort: 9090 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] containerPort: 5557 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: SSL_CERT_DIR [e2e-llm-inference-service] value: /var/run/kserve/tls:/var/run/secrets/kubernetes.io/serviceaccount:/etc/pki/tls/certs [e2e-llm-inference-service] resources: [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] mountPath: /tmp/tokenizer [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: liveness [e2e-llm-inference-service] initialDelaySeconds: 5 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: readiness [e2e-llm-inference-service] initialDelaySeconds: 30 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] serviceAccountName: custom-route-timeout-test-epp-sa [e2e-llm-inference-service] serviceAccount: custom-route-timeout-test-epp-sa [e2e-llm-inference-service] securityContext: {} [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] strategy: [e2e-llm-inference-service] type: Recreate [e2e-llm-inference-service] revisionHistoryLimit: 10 [e2e-llm-inference-service] progressDeadlineSeconds: 600 [e2e-llm-inference-service] status: [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] updatedReplicas: 1 [e2e-llm-inference-service] readyReplicas: 1 [e2e-llm-inference-service] availableReplicas: 1 [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - type: Available [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastUpdateTime: '2026-07-07T15:32:49Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-07T15:32:49Z' [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: '2026-07-07T15:32:49Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-07T15:32:15Z' [e2e-llm-inference-service] reason: NewReplicaSetAvailable [e2e-llm-inference-service] message: ReplicaSet "custom-route-timeout-test-kserve-router-scheduler-778d465b5b" [e2e-llm-inference-service] has successfully progressed. [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] kind: Deployment [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-864979d845 [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: d0da3a01-440f-4f20-8761-3ebf31c5aca6 [e2e-llm-inference-service] resourceVersion: '45799' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:32:15Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] pod-template-hash: 864979d845 [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] deployment.kubernetes.io/desired-replicas: '1' [e2e-llm-inference-service] deployment.kubernetes.io/max-replicas: '2' [e2e-llm-inference-service] deployment.kubernetes.io/revision: '1' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: apps/v1 [e2e-llm-inference-service] kind: Deployment [e2e-llm-inference-service] name: custom-route-timeout-test-kserve [e2e-llm-inference-service] uid: 59da8038-3bde-476a-8d30-7a46fd73e5af [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: '2026-07-07T15:32:15Z' [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":"59da8038-3bde-476a-8d30-7a46fd73e5af"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:template: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:llm-d.ai/role: {} [e2e-llm-inference-service] f:pod-template-hash: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_CACHE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HOME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"TORCHINDUCTOR_CACHE_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"USER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_CPU_KVCACHE_SPACE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_ENABLE_V1_MULTIPROCESSING"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_LOGGING_LEVEL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:startupProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/dev/shm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] k:{"mountPath":"/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"dshm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:medium: {} [e2e-llm-inference-service] f:sizeLimit: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"model-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tmp-dir"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-07T15:34:26Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:availableReplicas: {} [e2e-llm-inference-service] f:fullyLabeledReplicas: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:readyReplicas: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] pod-template-hash: 864979d845 [e2e-llm-inference-service] template: [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] pod-template-hash: 864979d845 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] emptyDir: [e2e-llm-inference-service] medium: Memory [e2e-llm-inference-service] sizeLimit: 1Gi [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: custom-route-timeout-test-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/bash [e2e-llm-inference-service] - -c [e2e-llm-inference-service] - "if [ -f /etc/profile.d/ibm-aiu-setup.sh ]; then\n source /etc/profile.d/ibm-aiu-setup.sh\n\ [e2e-llm-inference-service] fi\n\nif [ \"$KSERVE_INFER_ROCE\" = \"true\" ]; then\n echo \"Trying to\ [e2e-llm-inference-service] \ infer RoCE configs ... \"\n grep -H . /sys/class/infiniband/*/ports/*/gids/*\ [e2e-llm-inference-service] \ 2>/dev/null\n grep -H . /sys/class/infiniband/*/ports/*/gid_attrs/types/*\ [e2e-llm-inference-service] \ 2>/dev/null\n\n cat /proc/driver/nvidia/params\n\n KSERVE_INFER_IB_GID_INDEX_GREP=${KSERVE_INFER_IB_GID_INDEX_GREP:-\"\ [e2e-llm-inference-service] RoCE v2\"}\n\n echo \"[Infer RoCE] Discovering active HCAs ...\"\n active_hcas=()\n\ [e2e-llm-inference-service] \ # Loop through all mlx5 devices found in sysfs\n for hca_dir in /sys/class/infiniband/mlx5_*;\ [e2e-llm-inference-service] \ do\n # Ensure it's a directory before proceeding\n if [ -d \"\ [e2e-llm-inference-service] $hca_dir\" ]; then\n hca_name=$(basename \"$hca_dir\")\n \ [e2e-llm-inference-service] \ port_state_file=\"$hca_dir/ports/1/state\" # Assume port 1\n \ [e2e-llm-inference-service] \ type_file=\"$hca_dir/ports/1/gid_attrs/types/*\"\n\n echo\ [e2e-llm-inference-service] \ \"[Infer RoCE] Check if the port state file ${port_state_file} exists\ [e2e-llm-inference-service] \ and contains 'ACTIVE'\"\n if [ -f \"$port_state_file\" ] && grep\ [e2e-llm-inference-service] \ -q \"ACTIVE\" \"$port_state_file\" && grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\"\ [e2e-llm-inference-service] \ ${type_file} 2>/dev/null; then\n echo \"[Infer RoCE] Found\ [e2e-llm-inference-service] \ active HCA: $hca_name\"\n active_hcas+=(\"$hca_name\")\n\ [e2e-llm-inference-service] \ else\n echo \"[Infer RoCE] Skipping inactive or\ [e2e-llm-inference-service] \ down HCA: $hca_name\"\n fi\n fi\n done\n\n # Check if\ [e2e-llm-inference-service] \ we found any active HCAs\n if [ ${#active_hcas[@]} -gt 0 ]; then\n \ [e2e-llm-inference-service] \ # Join the array elements with a comma\n hca_port_pairs=()\n \ [e2e-llm-inference-service] \ for hca in \"${active_hcas[@]}\"; do\n hca_port_pairs+=(\"\ [e2e-llm-inference-service] ${hca}:1\")\n done\n\n active_hca_list=$(IFS=,; echo \"${active_hcas[*]}\"\ [e2e-llm-inference-service] )\n hca_port_pairs_list=$(IFS=,; echo \"${hca_port_pairs[*]}\")\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Setting active HCAs: ${active_hca_list}\"\n \ [e2e-llm-inference-service] \ export NCCL_IB_HCA=${NCCL_IB_HCA:-${active_hca_list}}\n export\ [e2e-llm-inference-service] \ NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST:-${hca_port_pairs_list}}\n export\ [e2e-llm-inference-service] \ UCX_NET_DEVICES=${UCX_NET_DEVICES:-${hca_port_pairs_list}}\n\n echo\ [e2e-llm-inference-service] \ \"[Infer RoCE] NCCL_IB_HCA=${NCCL_IB_HCA}\"\n echo \"[Infer RoCE]\ [e2e-llm-inference-service] \ NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST}\"\n echo \"[Infer RoCE] UCX_NET_DEVICES=${UCX_NET_DEVICES}\"\ [e2e-llm-inference-service] \n else\n echo \"[Infer RoCE] WARNING: No active RoCE HCAs found.\ [e2e-llm-inference-service] \ NCCL_IB_HCA will not be set.\"\n fi\n\n if [ ${#active_hcas[@]} -gt\ [e2e-llm-inference-service] \ 0 ]; then\n echo \"[Infer RoCE] Finding GID_INDEX for each active\ [e2e-llm-inference-service] \ HCA (SR-IOV compatible)...\"\n\n # For SR-IOV environments, find\ [e2e-llm-inference-service] \ the most common IPv4 RoCE v2 GID index across all HCAs\n declare\ [e2e-llm-inference-service] \ -A gid_index_count\n declare -A hca_gid_index\n\n for hca_name\ [e2e-llm-inference-service] \ in \"${active_hcas[@]}\"; do\n echo \"[Infer RoCE] Processing\ [e2e-llm-inference-service] \ HCA: ${hca_name}\"\n\n # Find all RoCE v2 IPv4 GIDs for this\ [e2e-llm-inference-service] \ HCA and count by index\n for tpath in /sys/class/infiniband/${hca_name}/ports/1/gid_attrs/types/*;\ [e2e-llm-inference-service] \ do\n if grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\" \"\ [e2e-llm-inference-service] $tpath\" 2>/dev/null; then\n idx=$(basename \"$tpath\"\ [e2e-llm-inference-service] )\n gid_file=\"/sys/class/infiniband/${hca_name}/ports/1/gids/${idx}\"\ [e2e-llm-inference-service] \n # Check for IPv4 GID (contains ffff:)\n \ [e2e-llm-inference-service] \ if [ -f \"$gid_file\" ] && grep -q \"ffff:\" \"$gid_file\"; then\n\ [e2e-llm-inference-service] \ gid_value=$(cat \"$gid_file\" 2>/dev/null || echo\ [e2e-llm-inference-service] \ \"\")\n echo \"[Infer RoCE] Found IPv4 RoCE v2 GID\ [e2e-llm-inference-service] \ for ${hca_name}: index=${idx}, gid=${gid_value}\"\n \ [e2e-llm-inference-service] \ hca_gid_index[\"${hca_name}\"]=\"${idx}\"\n gid_index_count[\"\ [e2e-llm-inference-service] ${idx}\"]=$((${gid_index_count[\"${idx}\"]} + 1))\n \ [e2e-llm-inference-service] \ break # Use first found IPv4 GID per HCA\n fi\n \ [e2e-llm-inference-service] \ fi\n done\n done\n\n # Find the most common\ [e2e-llm-inference-service] \ GID index (most likely to be consistent across nodes)\n best_gid_index=\"\ [e2e-llm-inference-service] \"\n max_count=0\n for idx in \"${!gid_index_count[@]}\"; do\n\ [e2e-llm-inference-service] \ count=${gid_index_count[\"${idx}\"]}\n echo \"[Infer\ [e2e-llm-inference-service] \ RoCE] GID_INDEX ${idx} found on ${count} HCAs\"\n if [ $count\ [e2e-llm-inference-service] \ -gt $max_count ]; then\n max_count=$count\n \ [e2e-llm-inference-service] \ best_gid_index=\"$idx\"\n fi\n done\n\n # Use deterministic\ [e2e-llm-inference-service] \ fallback if tied - prefer index 3 (SR-IOV standard)\n if [ ${#gid_index_count[@]}\ [e2e-llm-inference-service] \ -gt 1 ]; then\n echo \"[Infer RoCE] Multiple GID indices found,\ [e2e-llm-inference-service] \ selecting most common: ${best_gid_index}\"\n # If there's a tie,\ [e2e-llm-inference-service] \ prefer index 3 as it's most common in SR-IOV setups\n if [ -n\ [e2e-llm-inference-service] \ \"${gid_index_count['3']}\" ] && [ \"${gid_index_count['3']}\" -eq \"\ [e2e-llm-inference-service] $max_count\" ]; then\n best_gid_index=\"3\"\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using deterministic fallback: GID_INDEX=3 (SR-IOV\ [e2e-llm-inference-service] \ standard)\"\n fi\n fi\n\n # Check if GID_INDEX is already\ [e2e-llm-inference-service] \ set via environment variables\n if [ -n \"${NCCL_IB_GID_INDEX}\"\ [e2e-llm-inference-service] \ ]; then\n echo \"[Infer RoCE] Using pre-configured NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ from environment\"\n export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using pre-configured GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ for NCCL, NVSHMEM, and UCX\"\n elif [ -n \"$best_gid_index\" ]; then\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Selected GID_INDEX: ${best_gid_index} (found\ [e2e-llm-inference-service] \ on ${max_count} HCAs)\"\n\n export NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \n echo \"[Infer RoCE] Exported GID_INDEX=${best_gid_index} for\ [e2e-llm-inference-service] \ NCCL, NVSHMEM, and UCX\"\n else\n echo \"[Infer RoCE] ERROR:\ [e2e-llm-inference-service] \ No valid IPv4 ${KSERVE_INFER_IB_GID_INDEX_GREP} GID_INDEX found on any\ [e2e-llm-inference-service] \ HCA.\"\n fi\n else\n echo \"[Infer RoCE] No active HCAs found,\ [e2e-llm-inference-service] \ skipping GID_INDEX inference.\"\n fi\nfi\n\n# --disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ landed in vLLM 0.16.0 (vllm-project/vllm#30011).\n# Older versions still\ [e2e-llm-inference-service] \ need the blanket --disable-uvicorn-access-log.\nACCESS_LOG_ARGS=\"--disable-uvicorn-access-log\"\ [e2e-llm-inference-service] \nVLLM_VERSION=$(vllm --version 2>/dev/null | tail -1 | awk '{print $NF}')\n\ [e2e-llm-inference-service] echo \"[access-log-detect] vllm version='${VLLM_VERSION}'\"\nif [[ \"$VLLM_VERSION\"\ [e2e-llm-inference-service] \ =~ ^[0-9]+\\.[0-9]+ ]] && [ \"$(printf '%s\\n%s\\n' \"0.16.0\" \"${VLLM_VERSION}\"\ [e2e-llm-inference-service] \ | sort -V | head -1)\" = \"0.16.0\" ]; then\n ACCESS_LOG_ARGS=\"--disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ /health,/metrics,/ping\"\nfi\necho \"[access-log-detect] selected ACCESS_LOG_ARGS='${ACCESS_LOG_ARGS}'\"\ [e2e-llm-inference-service] \n\n# --shutdown-timeout landed in vLLM 0.18.0 (vllm-project/vllm#36666).\n\ [e2e-llm-inference-service] SHUTDOWN_TIMEOUT_ARGS=\"\"\nif [[ \"$VLLM_VERSION\" =~ ^[0-9]+\\.[0-9]+\ [e2e-llm-inference-service] \ ]] && [ \"$(printf '%s\\n%s\\n' \"0.18.0\" \"${VLLM_VERSION}\" | sort\ [e2e-llm-inference-service] \ -V | head -1)\" = \"0.18.0\" ]; then\n SHUTDOWN_TIMEOUT_ARGS=\"--shutdown-timeout\ [e2e-llm-inference-service] \ 40\"\nfi\n\neval \"exec vllm serve /mnt/models \\\n --served-model-name\ [e2e-llm-inference-service] \ \"facebook/opt-125m\" \"publishers/kserve-ci-e2e-test/models/facebook/opt-125m\"\ [e2e-llm-inference-service] \ \\\n --port 8000 \\\n ${ACCESS_LOG_ARGS} \\\n ${SHUTDOWN_TIMEOUT_ARGS}\ [e2e-llm-inference-service] \ \\\n --enable-ssl-refresh \\\n --ssl-certfile /var/run/kserve/tls/tls.crt\ [e2e-llm-inference-service] \ \\\n --ssl-keyfile /var/run/kserve/tls/tls.key \\\n ${VLLM_ADDITIONAL_ARGS}\ [e2e-llm-inference-service] \ \\\n $@\"" [e2e-llm-inference-service] - -- [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: HOME [e2e-llm-inference-service] value: /home [e2e-llm-inference-service] - name: VLLM_LOGGING_LEVEL [e2e-llm-inference-service] value: DEBUG [e2e-llm-inference-service] - name: VLLM_CPU_KVCACHE_SPACE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: VLLM_ENABLE_V1_MULTIPROCESSING [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: USER [e2e-llm-inference-service] value: nonroot [e2e-llm-inference-service] - name: TORCHINDUCTOR_CACHE_DIR [e2e-llm-inference-service] value: /tmp/torchinductor-cache [e2e-llm-inference-service] - name: HF_HUB_CACHE [e2e-llm-inference-service] value: /models [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '2' [e2e-llm-inference-service] memory: 7Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 10 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 1 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 2 [e2e-llm-inference-service] startupProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 60 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] securityContext: {} [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] status: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] fullyLabeledReplicas: 1 [e2e-llm-inference-service] readyReplicas: 1 [e2e-llm-inference-service] availableReplicas: 1 [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] kind: ReplicaSet [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-router-scheduler-778d465b5b [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: d76bdc19-b52c-4d72-b253-c70be84327be [e2e-llm-inference-service] resourceVersion: '44073' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:32:15Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 778d465b5b [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] deployment.kubernetes.io/desired-replicas: '1' [e2e-llm-inference-service] deployment.kubernetes.io/max-replicas: '1' [e2e-llm-inference-service] deployment.kubernetes.io/revision: '1' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: apps/v1 [e2e-llm-inference-service] kind: Deployment [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-router-scheduler [e2e-llm-inference-service] uid: ac36b338-162a-4540-8158-df9e9ab70c16 [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: '2026-07-07T15:32:15Z' [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":"ac36b338-162a-4540-8158-df9e9ab70c16"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:template: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/version: {} [e2e-llm-inference-service] f:certificates.kserve.io/expiration-v2: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:pod-template-hash: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"SSL_CERT_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":5557,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9002,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9003,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9090,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp/tokenizer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"STORAGE_ALLOW_PATTERNS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:serviceAccount: {} [e2e-llm-inference-service] f:serviceAccountName: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tokenizer-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-uds"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-07T15:32:49Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:availableReplicas: {} [e2e-llm-inference-service] f:fullyLabeledReplicas: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:readyReplicas: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 778d465b5b [e2e-llm-inference-service] template: [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 778d465b5b [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] app.kubernetes.io/version: 0.9.0 [e2e-llm-inference-service] certificates.kserve.io/expiration-v2: 'true' [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: custom-route-timeout-test-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-tmp [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] - name: STORAGE_ALLOW_PATTERNS [e2e-llm-inference-service] value: '["tokenizer.json", "tokenizer_config.json", "special_tokens_map.json", [e2e-llm-inference-service] "vocab.json", "merges.txt", "config.json", "generation_config.json"]' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/epp [e2e-llm-inference-service] - --pool-name [e2e-llm-inference-service] - custom-route-timeout-test-inference-pool [e2e-llm-inference-service] - --pool-namespace [e2e-llm-inference-service] - kserve-ci-e2e-test [e2e-llm-inference-service] - --zap-encoder [e2e-llm-inference-service] - json [e2e-llm-inference-service] - --grpc-port [e2e-llm-inference-service] - '9002' [e2e-llm-inference-service] - --grpc-health-port [e2e-llm-inference-service] - '9003' [e2e-llm-inference-service] - --enable-cert-reload=true [e2e-llm-inference-service] - --secure-serving=true [e2e-llm-inference-service] - --model-server-metrics-scheme=https [e2e-llm-inference-service] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --config-text [e2e-llm-inference-service] - "apiVersion: inference.networking.x-k8s.io/v1alpha1\nkind: EndpointPickerConfig\n\ [e2e-llm-inference-service] plugins:\n- type: single-profile-handler\n- type: queue-scorer\n- type:\ [e2e-llm-inference-service] \ prefix-cache-scorer\n- type: max-score-picker\nschedulingProfiles:\n-\ [e2e-llm-inference-service] \ name: default\n plugins:\n - pluginRef: queue-scorer\n weight: 2\n\ [e2e-llm-inference-service] \ - pluginRef: prefix-cache-scorer\n weight: 3\n - pluginRef: max-score-picker\n" [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] containerPort: 9002 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] containerPort: 9003 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] containerPort: 9090 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] containerPort: 5557 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: SSL_CERT_DIR [e2e-llm-inference-service] value: /var/run/kserve/tls:/var/run/secrets/kubernetes.io/serviceaccount:/etc/pki/tls/certs [e2e-llm-inference-service] resources: [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] mountPath: /tmp/tokenizer [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: liveness [e2e-llm-inference-service] initialDelaySeconds: 5 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: readiness [e2e-llm-inference-service] initialDelaySeconds: 30 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] serviceAccountName: custom-route-timeout-test-epp-sa [e2e-llm-inference-service] serviceAccount: custom-route-timeout-test-epp-sa [e2e-llm-inference-service] securityContext: {} [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] status: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] fullyLabeledReplicas: 1 [e2e-llm-inference-service] readyReplicas: 1 [e2e-llm-inference-service] availableReplicas: 1 [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] kind: ReplicaSet [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-test-epp-rb [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: be55345f-2b25-43e2-b618-ed961f838d67 [e2e-llm-inference-service] resourceVersion: '43428' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:32:15Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-test [e2e-llm-inference-service] uid: 7809bcbf-9cf6-4f9e-a342-a8a0c5eddcb5 [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: '2026-07-07T15:32:15Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [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":"7809bcbf-9cf6-4f9e-a342-a8a0c5eddcb5"}: {} [e2e-llm-inference-service] f:roleRef: {} [e2e-llm-inference-service] f:subjects: {} [e2e-llm-inference-service] subjects: [e2e-llm-inference-service] - kind: ServiceAccount [e2e-llm-inference-service] name: custom-route-timeout-test-epp-sa [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] roleRef: [e2e-llm-inference-service] apiGroup: rbac.authorization.k8s.io [e2e-llm-inference-service] kind: Role [e2e-llm-inference-service] name: custom-route-timeout-test-epp-role [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] kind: RoleBinding [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-test-epp-role [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 9751fce1-6034-40ee-ad1b-b815c752b2e9 [e2e-llm-inference-service] resourceVersion: '43425' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:32:15Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-test [e2e-llm-inference-service] uid: 7809bcbf-9cf6-4f9e-a342-a8a0c5eddcb5 [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: '2026-07-07T15:32:15Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [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":"7809bcbf-9cf6-4f9e-a342-a8a0c5eddcb5"}: {} [e2e-llm-inference-service] f:rules: {} [e2e-llm-inference-service] rules: [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - '' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - pods [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - inference.networking.k8s.io [e2e-llm-inference-service] - inference.networking.x-k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencepools [e2e-llm-inference-service] - inferenceobjectives [e2e-llm-inference-service] - inferencemodels [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - inference.networking.x-k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencemodelrewrites [e2e-llm-inference-service] - inferencepoolimports [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - discovery.k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - endpointslices [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] - create [e2e-llm-inference-service] - update [e2e-llm-inference-service] - patch [e2e-llm-inference-service] - delete [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - coordination.k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - leases [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] kind: Role [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-test-epp-service-jsn4v [e2e-llm-inference-service] generateName: custom-route-timeout-test-epp-service- [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 6762148f-6979-475a-8515-f8c0a44814f4 [e2e-llm-inference-service] resourceVersion: '44072' [e2e-llm-inference-service] generation: 3 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:32:15Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] endpointslice.kubernetes.io/managed-by: endpointslice-controller.k8s.io [e2e-llm-inference-service] kubernetes.io/service-name: custom-route-timeout-test-epp-service [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] endpoints.kubernetes.io/last-change-trigger-time: '2026-07-07T15:32:49Z' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: v1 [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: custom-route-timeout-test-epp-service [e2e-llm-inference-service] uid: f363dd9c-a21a-499f-aee0-8fc5617d8a9b [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: '2026-07-07T15:32:49Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:addressType: {} [e2e-llm-inference-service] f:endpoints: {} [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f: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":"f363dd9c-a21a-499f-aee0-8fc5617d8a9b"}: {} [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] - 10.133.0.39 [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] serving: true [e2e-llm-inference-service] terminating: false [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-router-scheduler-778d465brn76d [e2e-llm-inference-service] uid: e918d794-3d93-4398-9f6e-7b42d68a80e9 [e2e-llm-inference-service] nodeName: ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] zone: us-east-1a [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9002 [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9090 [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 5557 [e2e-llm-inference-service] apiVersion: discovery.k8s.io/v1 [e2e-llm-inference-service] kind: EndpointSlice [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-workload-svc-cqdk7 [e2e-llm-inference-service] generateName: custom-route-timeout-test-kserve-workload-svc- [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: b9b2ee01-ab02-4aa4-a0a0-5c1a7da7ca30 [e2e-llm-inference-service] resourceVersion: '45795' [e2e-llm-inference-service] generation: 3 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:32:15Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] endpointslice.kubernetes.io/managed-by: endpointslice-controller.k8s.io [e2e-llm-inference-service] kubernetes.io/service-name: custom-route-timeout-test-kserve-workload-svc [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] endpoints.kubernetes.io/last-change-trigger-time: '2026-07-07T15:34:26Z' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: v1 [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-workload-svc [e2e-llm-inference-service] uid: a4fb2b39-1978-46db-bf0a-0e11a0244dc3 [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: '2026-07-07T15:34:26Z' [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":"a4fb2b39-1978-46db-bf0a-0e11a0244dc3"}: {} [e2e-llm-inference-service] f:ports: {} [e2e-llm-inference-service] addressType: IPv4 [e2e-llm-inference-service] endpoints: [e2e-llm-inference-service] - addresses: [e2e-llm-inference-service] - 10.134.0.39 [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] serving: true [e2e-llm-inference-service] terminating: false [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-864979d845-rg778 [e2e-llm-inference-service] uid: c7c144cd-bdd9-4379-837c-16e7af4adc45 [e2e-llm-inference-service] nodeName: ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] zone: us-east-1a [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: https [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] appProtocol: https [e2e-llm-inference-service] apiVersion: discovery.k8s.io/v1 [e2e-llm-inference-service] kind: EndpointSlice [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-test-epp-rb [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: be55345f-2b25-43e2-b618-ed961f838d67 [e2e-llm-inference-service] resourceVersion: '43428' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:32:15Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-test [e2e-llm-inference-service] uid: 7809bcbf-9cf6-4f9e-a342-a8a0c5eddcb5 [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: '2026-07-07T15:32:15Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [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":"7809bcbf-9cf6-4f9e-a342-a8a0c5eddcb5"}: {} [e2e-llm-inference-service] f:roleRef: {} [e2e-llm-inference-service] f:subjects: {} [e2e-llm-inference-service] userNames: [e2e-llm-inference-service] - system:serviceaccount:kserve-ci-e2e-test:custom-route-timeout-test-epp-sa [e2e-llm-inference-service] groupNames: null [e2e-llm-inference-service] subjects: [e2e-llm-inference-service] - kind: ServiceAccount [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: custom-route-timeout-test-epp-sa [e2e-llm-inference-service] roleRef: [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: custom-route-timeout-test-epp-role [e2e-llm-inference-service] apiVersion: authorization.openshift.io/v1 [e2e-llm-inference-service] kind: RoleBinding [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-test-epp-role [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 9751fce1-6034-40ee-ad1b-b815c752b2e9 [e2e-llm-inference-service] resourceVersion: '43425' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:32:15Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-test [e2e-llm-inference-service] uid: 7809bcbf-9cf6-4f9e-a342-a8a0c5eddcb5 [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: '2026-07-07T15:32:15Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [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":"7809bcbf-9cf6-4f9e-a342-a8a0c5eddcb5"}: {} [e2e-llm-inference-service] f:rules: {} [e2e-llm-inference-service] rules: [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - '' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - pods [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - inference.networking.k8s.io [e2e-llm-inference-service] - inference.networking.x-k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencemodels [e2e-llm-inference-service] - inferenceobjectives [e2e-llm-inference-service] - inferencepools [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - inference.networking.x-k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencemodelrewrites [e2e-llm-inference-service] - inferencepoolimports [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - discovery.k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - endpointslices [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - create [e2e-llm-inference-service] - delete [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - patch [e2e-llm-inference-service] - update [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - coordination.k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - leases [e2e-llm-inference-service] apiVersion: authorization.openshift.io/v1 [e2e-llm-inference-service] kind: Role [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: gateway.networking.k8s.io/v1 [e2e-llm-inference-service] kind: HTTPRoute [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] serving.kserve.io/inference-pool-migrated: v1 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:32:15Z' [e2e-llm-inference-service] generation: 2 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: gateway.networking.k8s.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:serving.kserve.io/inference-pool-migrated: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"7809bcbf-9cf6-4f9e-a342-a8a0c5eddcb5"}: {} [e2e-llm-inference-service] f:spec: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-07T15:32:28Z' [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: '2026-07-07T15:32:28Z' [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: '2026-07-07T15:32:29Z' [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-route [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-test [e2e-llm-inference-service] uid: 7809bcbf-9cf6-4f9e-a342-a8a0c5eddcb5 [e2e-llm-inference-service] resourceVersion: '43737' [e2e-llm-inference-service] uid: 07474b4d-10e6-4eb9-a1c3-93c27223efad [e2e-llm-inference-service] spec: [e2e-llm-inference-service] parentRefs: [e2e-llm-inference-service] - group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] rules: [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: custom-route-timeout-test-inference-pool [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/completions [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/custom-route-timeout-test/v1/completions [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 30s [e2e-llm-inference-service] request: 30s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: custom-route-timeout-test-inference-pool [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/chat/completions [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/custom-route-timeout-test/v1/chat/completions [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 30s [e2e-llm-inference-service] request: 30s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: / [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/custom-route-timeout-test [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 30s [e2e-llm-inference-service] request: 30s [e2e-llm-inference-service] status: [e2e-llm-inference-service] parents: [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T15:32:16Z' [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: '2026-07-07T15:32:28Z' [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: '2026-07-07T15:32:16Z' [e2e-llm-inference-service] message: Object affected by AuthPolicy [kserve-ci-e2e-test/custom-route-timeout-test-kserve-route-authn [e2e-llm-inference-service] openshift-ingress/openshift-ai-inference-authn] [e2e-llm-inference-service] observedGeneration: 2 [e2e-llm-inference-service] reason: Accepted [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: kuadrant.io/AuthPolicyAffected [e2e-llm-inference-service] controllerName: kuadrant.io/policy-controller [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: gateway.networking.k8s.io/v1beta1 [e2e-llm-inference-service] kind: HTTPRoute [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] serving.kserve.io/inference-pool-migrated: v1 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:32:15Z' [e2e-llm-inference-service] generation: 2 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: gateway.networking.k8s.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:serving.kserve.io/inference-pool-migrated: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"7809bcbf-9cf6-4f9e-a342-a8a0c5eddcb5"}: {} [e2e-llm-inference-service] f:spec: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-07T15:32:28Z' [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: '2026-07-07T15:32:28Z' [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: '2026-07-07T15:32:29Z' [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-route [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-test [e2e-llm-inference-service] uid: 7809bcbf-9cf6-4f9e-a342-a8a0c5eddcb5 [e2e-llm-inference-service] resourceVersion: '43737' [e2e-llm-inference-service] uid: 07474b4d-10e6-4eb9-a1c3-93c27223efad [e2e-llm-inference-service] spec: [e2e-llm-inference-service] parentRefs: [e2e-llm-inference-service] - group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] rules: [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: custom-route-timeout-test-inference-pool [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/completions [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/custom-route-timeout-test/v1/completions [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 30s [e2e-llm-inference-service] request: 30s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: custom-route-timeout-test-inference-pool [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/chat/completions [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/custom-route-timeout-test/v1/chat/completions [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 30s [e2e-llm-inference-service] request: 30s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: / [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/custom-route-timeout-test [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 30s [e2e-llm-inference-service] request: 30s [e2e-llm-inference-service] status: [e2e-llm-inference-service] parents: [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T15:32:16Z' [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: '2026-07-07T15:32:28Z' [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: '2026-07-07T15:32:16Z' [e2e-llm-inference-service] message: Object affected by AuthPolicy [kserve-ci-e2e-test/custom-route-timeout-test-kserve-route-authn [e2e-llm-inference-service] openshift-ingress/openshift-ai-inference-authn] [e2e-llm-inference-service] observedGeneration: 2 [e2e-llm-inference-service] reason: Accepted [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: kuadrant.io/AuthPolicyAffected [e2e-llm-inference-service] controllerName: kuadrant.io/policy-controller [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: inference.networking.k8s.io/v1 [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:32:15Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: inference.networking.k8s.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"7809bcbf-9cf6-4f9e-a342-a8a0c5eddcb5"}: {} [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: '2026-07-07T15:32:15Z' [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: '2026-07-07T15:32:28Z' [e2e-llm-inference-service] name: custom-route-timeout-test-inference-pool [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-test [e2e-llm-inference-service] uid: 7809bcbf-9cf6-4f9e-a342-a8a0c5eddcb5 [e2e-llm-inference-service] resourceVersion: '43716' [e2e-llm-inference-service] uid: a9e5a342-89a3-4e4e-9f3f-09e5702b0521 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] appProtocol: http [e2e-llm-inference-service] endpointPickerRef: [e2e-llm-inference-service] failureMode: FailOpen [e2e-llm-inference-service] group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: custom-route-timeout-test-epp-service [e2e-llm-inference-service] port: [e2e-llm-inference-service] number: 9002 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] targetPorts: [e2e-llm-inference-service] - number: 8000 [e2e-llm-inference-service] status: [e2e-llm-inference-service] parents: [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T15:32:28Z' [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: '2026-07-07T15:32:28Z' [e2e-llm-inference-service] message: Referenced ExtensionRef resolved successfully [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] reason: ResolvedRefs [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: ResolvedRefs [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: networking.istio.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: kuadrant.io/v1 [e2e-llm-inference-service] kind: AuthPolicy [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:32:18Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-policies [e2e-llm-inference-service] app.kubernetes.io/managed-by: odh-model-controller [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: kuadrant.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/managed-by: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"7809bcbf-9cf6-4f9e-a342-a8a0c5eddcb5"}: {} [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: '2026-07-07T15:32:18Z' [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: '2026-07-07T15:32:20Z' [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-route-authn [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-test [e2e-llm-inference-service] uid: 7809bcbf-9cf6-4f9e-a342-a8a0c5eddcb5 [e2e-llm-inference-service] resourceVersion: '43581' [e2e-llm-inference-service] uid: fa1a5223-bfa4-4c84-b04d-a84e916d590b [e2e-llm-inference-service] spec: [e2e-llm-inference-service] rules: [e2e-llm-inference-service] authentication: [e2e-llm-inference-service] public: [e2e-llm-inference-service] anonymous: {} [e2e-llm-inference-service] credentials: {} [e2e-llm-inference-service] metrics: false [e2e-llm-inference-service] overrides: [e2e-llm-inference-service] fairness: [e2e-llm-inference-service] value: unauthenticated [e2e-llm-inference-service] objective: [e2e-llm-inference-service] value: unauthenticated [e2e-llm-inference-service] priority: 0 [e2e-llm-inference-service] response: [e2e-llm-inference-service] success: [e2e-llm-inference-service] headers: [e2e-llm-inference-service] x-gateway-inference-fairness-id: [e2e-llm-inference-service] metrics: false [e2e-llm-inference-service] plain: [e2e-llm-inference-service] expression: auth.identity.fairness [e2e-llm-inference-service] priority: 0 [e2e-llm-inference-service] x-gateway-inference-objective: [e2e-llm-inference-service] metrics: false [e2e-llm-inference-service] plain: [e2e-llm-inference-service] expression: auth.identity.objective [e2e-llm-inference-service] priority: 0 [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: HTTPRoute [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-route [e2e-llm-inference-service] status: [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T15:32:19Z' [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: '2026-07-07T15:32:20Z' [e2e-llm-inference-service] message: AuthPolicy has been successfully enforced [e2e-llm-inference-service] reason: Enforced [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: Enforced [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:32:16Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"7809bcbf-9cf6-4f9e-a342-a8a0c5eddcb5"}: {} [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: '2026-07-07T15:32:16Z' [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-scheduler [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-test [e2e-llm-inference-service] uid: 7809bcbf-9cf6-4f9e-a342-a8a0c5eddcb5 [e2e-llm-inference-service] resourceVersion: '43469' [e2e-llm-inference-service] uid: c3dea2fe-9b83-4d6b-99c1-caad99b3ada0 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: custom-route-timeout-test-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: custom-route-timeout-test-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:32:28Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-shadow-service [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"7809bcbf-9cf6-4f9e-a342-a8a0c5eddcb5"}: {} [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: '2026-07-07T15:32:28Z' [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-shadow-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-test [e2e-llm-inference-service] uid: 7809bcbf-9cf6-4f9e-a342-a8a0c5eddcb5 [e2e-llm-inference-service] resourceVersion: '43729' [e2e-llm-inference-service] uid: c5a964b5-6a2e-45d5-b80b-dd6e6d3b47c7 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: custom-route-timeout-test-inference-pool-ip-45342e47.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: custom-route-timeout-test-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:32:16Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"7809bcbf-9cf6-4f9e-a342-a8a0c5eddcb5"}: {} [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: '2026-07-07T15:32:16Z' [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-test [e2e-llm-inference-service] uid: 7809bcbf-9cf6-4f9e-a342-a8a0c5eddcb5 [e2e-llm-inference-service] resourceVersion: '43478' [e2e-llm-inference-service] uid: 79ad8d85-9144-42d7-ad1b-6593865af89f [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: custom-route-timeout-test-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] caCertificates: /var/run/secrets/kubernetes.io/serviceaccount/service-ca.crt [e2e-llm-inference-service] insecureSkipVerify: false [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: custom-route-timeout-test-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1beta1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:32:16Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"7809bcbf-9cf6-4f9e-a342-a8a0c5eddcb5"}: {} [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: '2026-07-07T15:32:16Z' [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-scheduler [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-test [e2e-llm-inference-service] uid: 7809bcbf-9cf6-4f9e-a342-a8a0c5eddcb5 [e2e-llm-inference-service] resourceVersion: '43469' [e2e-llm-inference-service] uid: c3dea2fe-9b83-4d6b-99c1-caad99b3ada0 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: custom-route-timeout-test-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: custom-route-timeout-test-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1beta1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:32:28Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-shadow-service [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"7809bcbf-9cf6-4f9e-a342-a8a0c5eddcb5"}: {} [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: '2026-07-07T15:32:28Z' [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-shadow-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-test [e2e-llm-inference-service] uid: 7809bcbf-9cf6-4f9e-a342-a8a0c5eddcb5 [e2e-llm-inference-service] resourceVersion: '43729' [e2e-llm-inference-service] uid: c5a964b5-6a2e-45d5-b80b-dd6e6d3b47c7 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: custom-route-timeout-test-inference-pool-ip-45342e47.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: custom-route-timeout-test-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1beta1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:32:16Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"7809bcbf-9cf6-4f9e-a342-a8a0c5eddcb5"}: {} [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: '2026-07-07T15:32:16Z' [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-test [e2e-llm-inference-service] uid: 7809bcbf-9cf6-4f9e-a342-a8a0c5eddcb5 [e2e-llm-inference-service] resourceVersion: '43478' [e2e-llm-inference-service] uid: 79ad8d85-9144-42d7-ad1b-6593865af89f [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: custom-route-timeout-test-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] caCertificates: /var/run/secrets/kubernetes.io/serviceaccount/service-ca.crt [e2e-llm-inference-service] insecureSkipVerify: false [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: custom-route-timeout-test-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1alpha3 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:32:16Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"7809bcbf-9cf6-4f9e-a342-a8a0c5eddcb5"}: {} [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: '2026-07-07T15:32:16Z' [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-scheduler [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-test [e2e-llm-inference-service] uid: 7809bcbf-9cf6-4f9e-a342-a8a0c5eddcb5 [e2e-llm-inference-service] resourceVersion: '43469' [e2e-llm-inference-service] uid: c3dea2fe-9b83-4d6b-99c1-caad99b3ada0 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: custom-route-timeout-test-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: custom-route-timeout-test-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1alpha3 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:32:28Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-shadow-service [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"7809bcbf-9cf6-4f9e-a342-a8a0c5eddcb5"}: {} [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: '2026-07-07T15:32:28Z' [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-shadow-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-test [e2e-llm-inference-service] uid: 7809bcbf-9cf6-4f9e-a342-a8a0c5eddcb5 [e2e-llm-inference-service] resourceVersion: '43729' [e2e-llm-inference-service] uid: c5a964b5-6a2e-45d5-b80b-dd6e6d3b47c7 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: custom-route-timeout-test-inference-pool-ip-45342e47.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: custom-route-timeout-test-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1alpha3 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:32:16Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"7809bcbf-9cf6-4f9e-a342-a8a0c5eddcb5"}: {} [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: '2026-07-07T15:32:16Z' [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-test [e2e-llm-inference-service] uid: 7809bcbf-9cf6-4f9e-a342-a8a0c5eddcb5 [e2e-llm-inference-service] resourceVersion: '43478' [e2e-llm-inference-service] uid: 79ad8d85-9144-42d7-ad1b-6593865af89f [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: custom-route-timeout-test-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] caCertificates: /var/run/secrets/kubernetes.io/serviceaccount/service-ca.crt [e2e-llm-inference-service] insecureSkipVerify: false [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: custom-route-timeout-test-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: inference.networking.x-k8s.io/v1alpha2 [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:32:15Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: inference.networking.x-k8s.io/v1alpha2 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"7809bcbf-9cf6-4f9e-a342-a8a0c5eddcb5"}: {} [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: '2026-07-07T15:32:15Z' [e2e-llm-inference-service] name: custom-route-timeout-test-inference-pool [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-test [e2e-llm-inference-service] uid: 7809bcbf-9cf6-4f9e-a342-a8a0c5eddcb5 [e2e-llm-inference-service] resourceVersion: '43444' [e2e-llm-inference-service] uid: 58981b27-620b-4dc0-b896-8c8332e28a33 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] extensionRef: [e2e-llm-inference-service] failureMode: FailOpen [e2e-llm-inference-service] group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: custom-route-timeout-test-epp-service [e2e-llm-inference-service] portNumber: 9002 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] targetPortNumber: 8000 [e2e-llm-inference-service] status: [e2e-llm-inference-service] parent: [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '1970-01-01T00:00:00Z' [e2e-llm-inference-service] message: Waiting for controller [e2e-llm-inference-service] reason: Pending [e2e-llm-inference-service] status: Unknown [e2e-llm-inference-service] type: Accepted [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Status [e2e-llm-inference-service] name: default [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-864979d845-rg778 [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:49:49Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] pod-template-hash: 864979d845 [e2e-llm-inference-service] timestamp: '2026-07-07T15:49:34Z' [e2e-llm-inference-service] window: 15.13s [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] usage: [e2e-llm-inference-service] cpu: 106494514n [e2e-llm-inference-service] memory: 2411336Ki [e2e-llm-inference-service] apiVersion: metrics.k8s.io/v1beta1 [e2e-llm-inference-service] kind: PodMetrics [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-test-kserve-router-scheduler-778d465brn76d [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:49:49Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 778d465b5b [e2e-llm-inference-service] timestamp: '2026-07-07T15:49:21Z' [e2e-llm-inference-service] window: 12.886s [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] usage: [e2e-llm-inference-service] cpu: 61340136n [e2e-llm-inference-service] memory: 31448Ki [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] [2026-07-07T15:49:49.289076] end - ❌ 1059.320s: ❌ Failed to call model: HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Max retries exceeded with url: /kserve-ci-e2e-test/custom-route-timeout-test/v1/completions (Caused by ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")) [e2e-llm-inference-service] _ test_llm_inference_service[router-managed-workload-single-cpu-model-fb-opt-125m-with-lora-hf1] _ [e2e-llm-inference-service] [gw1] linux -- Python 3.11.13 /workspace/source/python/kserve/.venv/bin/python [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] conn = [e2e-llm-inference-service] method = 'GET', url = '/v1/models', body = None [e2e-llm-inference-service] headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive', 'Content-Type': 'application/json', 'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/facebook/opt-125m'} [e2e-llm-inference-service] retries = Retry(total=0, connect=None, read=None, redirect=None, status=None) [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), chunked = False [e2e-llm-inference-service] response_conn = [e2e-llm-inference-service] preload_content = False, decode_content = False, 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] # conn.request() calls http.client.*.request, not the method in [e2e-llm-inference-service] # urllib3.request. It also calls makefile (recv) on the socket. [e2e-llm-inference-service] try: [e2e-llm-inference-service] conn.request( [e2e-llm-inference-service] method, [e2e-llm-inference-service] url, [e2e-llm-inference-service] body=body, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] chunked=chunked, [e2e-llm-inference-service] preload_content=preload_content, [e2e-llm-inference-service] decode_content=decode_content, [e2e-llm-inference-service] enforce_content_length=enforce_content_length, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] # We are swallowing BrokenPipeError (errno.EPIPE) since the server is [e2e-llm-inference-service] # legitimately able to close the connection after sending a valid response. [e2e-llm-inference-service] # With this behaviour, the received response is still readable. [e2e-llm-inference-service] except BrokenPipeError: [e2e-llm-inference-service] pass [e2e-llm-inference-service] except OSError as e: [e2e-llm-inference-service] # MacOS/Linux [e2e-llm-inference-service] # EPROTOTYPE and ECONNRESET are needed on macOS [e2e-llm-inference-service] # https://erickt.github.io/blog/2014/11/19/adventures-in-debugging-a-potential-osx-kernel-bug/ [e2e-llm-inference-service] # Condition changed later to emit ECONNRESET instead of only EPROTOTYPE. [e2e-llm-inference-service] if e.errno != errno.EPROTOTYPE and e.errno != errno.ECONNRESET: [e2e-llm-inference-service] raise [e2e-llm-inference-service] [e2e-llm-inference-service] # Reset the timeout for the recv() on the socket [e2e-llm-inference-service] read_timeout = timeout_obj.read_timeout [e2e-llm-inference-service] [e2e-llm-inference-service] if not conn.is_closed: [e2e-llm-inference-service] # In Python 3 socket.py will catch EAGAIN and return None when you [e2e-llm-inference-service] # try and read into the file pointer created by http.client, which [e2e-llm-inference-service] # instead raises a BadStatusLine exception. Instead of catching [e2e-llm-inference-service] # the exception and assuming all BadStatusLine exceptions are read [e2e-llm-inference-service] # timeouts, check for a zero timeout before making the request. [e2e-llm-inference-service] if read_timeout == 0: [e2e-llm-inference-service] raise ReadTimeoutError( [e2e-llm-inference-service] self, url, f"Read timed out. (read timeout={read_timeout})" [e2e-llm-inference-service] ) [e2e-llm-inference-service] conn.timeout = read_timeout [e2e-llm-inference-service] [e2e-llm-inference-service] # Receive the response from the server [e2e-llm-inference-service] try: [e2e-llm-inference-service] > response = conn.getresponse() [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:534: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] [e2e-llm-inference-service] def getresponse( # type: ignore[override] [e2e-llm-inference-service] self, [e2e-llm-inference-service] ) -> HTTPResponse: [e2e-llm-inference-service] """ [e2e-llm-inference-service] Get the response from the server. [e2e-llm-inference-service] [e2e-llm-inference-service] If the HTTPConnection is in the correct state, returns an instance of HTTPResponse or of whatever object is returned by the response_class variable. [e2e-llm-inference-service] [e2e-llm-inference-service] If a request has not been sent or if a previous response has not be handled, ResponseNotReady is raised. If the HTTP response indicates that the connection should be closed, then it will be closed before the response is returned. When the connection is closed, the underlying socket is closed. [e2e-llm-inference-service] """ [e2e-llm-inference-service] # Raise the same error as http.client.HTTPConnection [e2e-llm-inference-service] if self._response_options is None: [e2e-llm-inference-service] raise ResponseNotReady() [e2e-llm-inference-service] [e2e-llm-inference-service] # Reset this attribute for being used again. [e2e-llm-inference-service] resp_options = self._response_options [e2e-llm-inference-service] self._response_options = None [e2e-llm-inference-service] [e2e-llm-inference-service] # Since the connection's timeout value may have been updated [e2e-llm-inference-service] # we need to set the timeout on the socket. [e2e-llm-inference-service] self.sock.settimeout(self.timeout) [e2e-llm-inference-service] [e2e-llm-inference-service] # This is needed here to avoid circular import errors [e2e-llm-inference-service] from .response import HTTPResponse [e2e-llm-inference-service] [e2e-llm-inference-service] # Save a reference to the shutdown function before ownership is passed [e2e-llm-inference-service] # to httplib_response [e2e-llm-inference-service] # TODO should we implement it everywhere? [e2e-llm-inference-service] _shutdown = getattr(self.sock, "shutdown", None) [e2e-llm-inference-service] [e2e-llm-inference-service] # Get the response from http.client.HTTPConnection [e2e-llm-inference-service] > httplib_response = super().getresponse() [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connection.py:571: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] [e2e-llm-inference-service] def getresponse(self): [e2e-llm-inference-service] """Get the response from the server. [e2e-llm-inference-service] [e2e-llm-inference-service] If the HTTPConnection is in the correct state, returns an [e2e-llm-inference-service] instance of HTTPResponse or of whatever object is returned by [e2e-llm-inference-service] the response_class variable. [e2e-llm-inference-service] [e2e-llm-inference-service] If a request has not been sent or if a previous response has [e2e-llm-inference-service] not be handled, ResponseNotReady is raised. If the HTTP [e2e-llm-inference-service] response indicates that the connection should be closed, then [e2e-llm-inference-service] it will be closed before the response is returned. When the [e2e-llm-inference-service] connection is closed, the underlying socket is closed. [e2e-llm-inference-service] """ [e2e-llm-inference-service] [e2e-llm-inference-service] # if a prior response has been completed, then forget about it. [e2e-llm-inference-service] if self.__response and self.__response.isclosed(): [e2e-llm-inference-service] self.__response = None [e2e-llm-inference-service] [e2e-llm-inference-service] # if a prior response exists, then it must be completed (otherwise, we [e2e-llm-inference-service] # cannot read this response's header to determine the connection-close [e2e-llm-inference-service] # behavior) [e2e-llm-inference-service] # [e2e-llm-inference-service] # note: if a prior response existed, but was connection-close, then the [e2e-llm-inference-service] # socket and response were made independent of this HTTPConnection [e2e-llm-inference-service] # object since a new request requires that we open a whole new [e2e-llm-inference-service] # connection [e2e-llm-inference-service] # [e2e-llm-inference-service] # this means the prior response had one of two states: [e2e-llm-inference-service] # 1) will_close: this connection was reset and the prior socket and [e2e-llm-inference-service] # response operate independently [e2e-llm-inference-service] # 2) persistent: the response was retained and we await its [e2e-llm-inference-service] # isclosed() status to become true. [e2e-llm-inference-service] # [e2e-llm-inference-service] if self.__state != _CS_REQ_SENT or self.__response: [e2e-llm-inference-service] raise ResponseNotReady(self.__state) [e2e-llm-inference-service] [e2e-llm-inference-service] if self.debuglevel > 0: [e2e-llm-inference-service] response = self.response_class(self.sock, self.debuglevel, [e2e-llm-inference-service] method=self._method) [e2e-llm-inference-service] else: [e2e-llm-inference-service] response = self.response_class(self.sock, method=self._method) [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] try: [e2e-llm-inference-service] > response.begin() [e2e-llm-inference-service] [e2e-llm-inference-service] /usr/lib64/python3.11/http/client.py:1395: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] [e2e-llm-inference-service] def begin(self): [e2e-llm-inference-service] if self.headers is not None: [e2e-llm-inference-service] # we've already started reading the response [e2e-llm-inference-service] return [e2e-llm-inference-service] [e2e-llm-inference-service] # read until we get a non-100 response [e2e-llm-inference-service] while True: [e2e-llm-inference-service] > version, status, reason = self._read_status() [e2e-llm-inference-service] [e2e-llm-inference-service] /usr/lib64/python3.11/http/client.py:325: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] [e2e-llm-inference-service] def _read_status(self): [e2e-llm-inference-service] > line = str(self.fp.readline(_MAXLINE + 1), "iso-8859-1") [e2e-llm-inference-service] [e2e-llm-inference-service] /usr/lib64/python3.11/http/client.py:286: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] b = [e2e-llm-inference-service] [e2e-llm-inference-service] def readinto(self, b): [e2e-llm-inference-service] """Read up to len(b) bytes into the writable buffer *b* and return [e2e-llm-inference-service] the number of bytes read. If the socket is non-blocking and no bytes [e2e-llm-inference-service] are available, None is returned. [e2e-llm-inference-service] [e2e-llm-inference-service] If *b* is non-empty, a 0 return value indicates that the connection [e2e-llm-inference-service] was shutdown at the other end. [e2e-llm-inference-service] """ [e2e-llm-inference-service] self._checkClosed() [e2e-llm-inference-service] self._checkReadable() [e2e-llm-inference-service] if self._timeout_occurred: [e2e-llm-inference-service] raise OSError("cannot read from timed out object") [e2e-llm-inference-service] while True: [e2e-llm-inference-service] try: [e2e-llm-inference-service] > return self._sock.recv_into(b) [e2e-llm-inference-service] E TimeoutError: timed out [e2e-llm-inference-service] [e2e-llm-inference-service] /usr/lib64/python3.11/socket.py:718: TimeoutError [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', url = '/v1/models', body = None [e2e-llm-inference-service] headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive', 'Content-Type': 'application/json', 'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/facebook/opt-125m'} [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 [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None [e2e-llm-inference-service] release_conn = False, chunked = False, body_pos = None, preload_content = False [e2e-llm-inference-service] decode_content = False, response_kw = {} [e2e-llm-inference-service] parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/v1/models', query=None, fragment=None) [e2e-llm-inference-service] destination_scheme = None, conn = None, release_this_conn = True [e2e-llm-inference-service] http_tunnel_required = False, err = None, 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] parsed_url = parse_url(url) [e2e-llm-inference-service] destination_scheme = parsed_url.scheme [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] # Ensure that the URL we're connecting to is properly encoded [e2e-llm-inference-service] if url.startswith("/"): [e2e-llm-inference-service] url = to_str(_encode_target(url)) [e2e-llm-inference-service] else: [e2e-llm-inference-service] url = to_str(parsed_url.url) [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:787: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] conn = [e2e-llm-inference-service] method = 'GET', url = '/v1/models', body = None [e2e-llm-inference-service] headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive', 'Content-Type': 'application/json', 'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/facebook/opt-125m'} [e2e-llm-inference-service] retries = Retry(total=0, connect=None, read=None, redirect=None, status=None) [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), chunked = False [e2e-llm-inference-service] response_conn = [e2e-llm-inference-service] preload_content = False, decode_content = False, 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] # conn.request() calls http.client.*.request, not the method in [e2e-llm-inference-service] # urllib3.request. It also calls makefile (recv) on the socket. [e2e-llm-inference-service] try: [e2e-llm-inference-service] conn.request( [e2e-llm-inference-service] method, [e2e-llm-inference-service] url, [e2e-llm-inference-service] body=body, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] chunked=chunked, [e2e-llm-inference-service] preload_content=preload_content, [e2e-llm-inference-service] decode_content=decode_content, [e2e-llm-inference-service] enforce_content_length=enforce_content_length, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] # We are swallowing BrokenPipeError (errno.EPIPE) since the server is [e2e-llm-inference-service] # legitimately able to close the connection after sending a valid response. [e2e-llm-inference-service] # With this behaviour, the received response is still readable. [e2e-llm-inference-service] except BrokenPipeError: [e2e-llm-inference-service] pass [e2e-llm-inference-service] except OSError as e: [e2e-llm-inference-service] # MacOS/Linux [e2e-llm-inference-service] # EPROTOTYPE and ECONNRESET are needed on macOS [e2e-llm-inference-service] # https://erickt.github.io/blog/2014/11/19/adventures-in-debugging-a-potential-osx-kernel-bug/ [e2e-llm-inference-service] # Condition changed later to emit ECONNRESET instead of only EPROTOTYPE. [e2e-llm-inference-service] if e.errno != errno.EPROTOTYPE and e.errno != errno.ECONNRESET: [e2e-llm-inference-service] raise [e2e-llm-inference-service] [e2e-llm-inference-service] # Reset the timeout for the recv() on the socket [e2e-llm-inference-service] read_timeout = timeout_obj.read_timeout [e2e-llm-inference-service] [e2e-llm-inference-service] if not conn.is_closed: [e2e-llm-inference-service] # In Python 3 socket.py will catch EAGAIN and return None when you [e2e-llm-inference-service] # try and read into the file pointer created by http.client, which [e2e-llm-inference-service] # instead raises a BadStatusLine exception. Instead of catching [e2e-llm-inference-service] # the exception and assuming all BadStatusLine exceptions are read [e2e-llm-inference-service] # timeouts, check for a zero timeout before making the request. [e2e-llm-inference-service] if read_timeout == 0: [e2e-llm-inference-service] raise ReadTimeoutError( [e2e-llm-inference-service] self, url, f"Read timed out. (read timeout={read_timeout})" [e2e-llm-inference-service] ) [e2e-llm-inference-service] conn.timeout = read_timeout [e2e-llm-inference-service] [e2e-llm-inference-service] # Receive the response from the server [e2e-llm-inference-service] try: [e2e-llm-inference-service] response = conn.getresponse() [e2e-llm-inference-service] except (BaseSSLError, OSError) as e: [e2e-llm-inference-service] > self._raise_timeout(err=e, url=url, timeout_value=read_timeout) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:536: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] err = TimeoutError('timed out'), url = '/v1/models', timeout_value = 60 [e2e-llm-inference-service] [e2e-llm-inference-service] def _raise_timeout( [e2e-llm-inference-service] self, [e2e-llm-inference-service] err: BaseSSLError | OSError | SocketTimeout, [e2e-llm-inference-service] url: str, [e2e-llm-inference-service] timeout_value: _TYPE_TIMEOUT | None, [e2e-llm-inference-service] ) -> None: [e2e-llm-inference-service] """Is the error actually a timeout? Will raise a ReadTimeout or pass""" [e2e-llm-inference-service] [e2e-llm-inference-service] if isinstance(err, SocketTimeout): [e2e-llm-inference-service] > raise ReadTimeoutError( [e2e-llm-inference-service] self, url, f"Read timed out. (read timeout={timeout_value})" [e2e-llm-inference-service] ) from err [e2e-llm-inference-service] E urllib3.exceptions.ReadTimeoutError: HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:367: ReadTimeoutError [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] request = , stream = False [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), verify = '/tmp/ca.crt' [e2e-llm-inference-service] cert = None, proxies = OrderedDict() [e2e-llm-inference-service] [e2e-llm-inference-service] def send( [e2e-llm-inference-service] self, request, stream=False, timeout=None, verify=True, cert=None, proxies=None [e2e-llm-inference-service] ): [e2e-llm-inference-service] """Sends PreparedRequest object. Returns Response object. [e2e-llm-inference-service] [e2e-llm-inference-service] :param request: The :class:`PreparedRequest ` being sent. [e2e-llm-inference-service] :param stream: (optional) Whether to stream the request content. [e2e-llm-inference-service] :param timeout: (optional) How long to wait for the server to send [e2e-llm-inference-service] data before giving up, as a float, or a :ref:`(connect timeout, [e2e-llm-inference-service] read timeout) ` tuple. [e2e-llm-inference-service] :type timeout: float or tuple or urllib3 Timeout object [e2e-llm-inference-service] :param verify: (optional) Either a boolean, in which case it controls whether [e2e-llm-inference-service] we verify the server's TLS certificate, or a string, in which case it [e2e-llm-inference-service] must be a path to a CA bundle to use [e2e-llm-inference-service] :param cert: (optional) Any user-provided SSL certificate to be trusted. [e2e-llm-inference-service] :param proxies: (optional) The proxies dictionary to apply to the request. [e2e-llm-inference-service] :rtype: requests.Response [e2e-llm-inference-service] """ [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] conn = self.get_connection_with_tls_context( [e2e-llm-inference-service] request, verify, proxies=proxies, cert=cert [e2e-llm-inference-service] ) [e2e-llm-inference-service] except LocationValueError as e: [e2e-llm-inference-service] raise InvalidURL(e, request=request) [e2e-llm-inference-service] [e2e-llm-inference-service] self.cert_verify(conn, request.url, verify, cert) [e2e-llm-inference-service] url = self.request_url(request, proxies) [e2e-llm-inference-service] self.add_headers( [e2e-llm-inference-service] request, [e2e-llm-inference-service] stream=stream, [e2e-llm-inference-service] timeout=timeout, [e2e-llm-inference-service] verify=verify, [e2e-llm-inference-service] cert=cert, [e2e-llm-inference-service] proxies=proxies, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] chunked = not (request.body is None or "Content-Length" in request.headers) [e2e-llm-inference-service] [e2e-llm-inference-service] if isinstance(timeout, tuple): [e2e-llm-inference-service] try: [e2e-llm-inference-service] connect, read = timeout [e2e-llm-inference-service] timeout = TimeoutSauce(connect=connect, read=read) [e2e-llm-inference-service] except ValueError: [e2e-llm-inference-service] raise ValueError( [e2e-llm-inference-service] f"Invalid timeout {timeout}. Pass a (connect, read) timeout tuple, " [e2e-llm-inference-service] f"or a single float to set both timeouts to the same value." [e2e-llm-inference-service] ) [e2e-llm-inference-service] elif isinstance(timeout, TimeoutSauce): [e2e-llm-inference-service] pass [e2e-llm-inference-service] else: [e2e-llm-inference-service] timeout = TimeoutSauce(connect=timeout, read=timeout) [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] > resp = conn.urlopen( [e2e-llm-inference-service] method=request.method, [e2e-llm-inference-service] url=url, [e2e-llm-inference-service] body=request.body, [e2e-llm-inference-service] headers=request.headers, [e2e-llm-inference-service] redirect=False, [e2e-llm-inference-service] assert_same_host=False, [e2e-llm-inference-service] preload_content=False, [e2e-llm-inference-service] decode_content=False, [e2e-llm-inference-service] retries=self.max_retries, [e2e-llm-inference-service] timeout=timeout, [e2e-llm-inference-service] chunked=chunked, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/requests/adapters.py:667: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] method = 'GET', url = '/v1/models', body = None [e2e-llm-inference-service] headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive', 'Content-Type': 'application/json', 'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/facebook/opt-125m'} [e2e-llm-inference-service] retries = Retry(total=7, connect=None, read=None, redirect=None, status=None) [e2e-llm-inference-service] redirect = False, assert_same_host = False [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None [e2e-llm-inference-service] release_conn = False, chunked = False, body_pos = None, preload_content = False [e2e-llm-inference-service] decode_content = False, response_kw = {} [e2e-llm-inference-service] parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/v1/models', query=None, fragment=None) [e2e-llm-inference-service] destination_scheme = None, conn = None, release_this_conn = True [e2e-llm-inference-service] http_tunnel_required = False [e2e-llm-inference-service] err = ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)") [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] parsed_url = parse_url(url) [e2e-llm-inference-service] destination_scheme = parsed_url.scheme [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] # Ensure that the URL we're connecting to is properly encoded [e2e-llm-inference-service] if url.startswith("/"): [e2e-llm-inference-service] url = to_str(_encode_target(url)) [e2e-llm-inference-service] else: [e2e-llm-inference-service] url = to_str(parsed_url.url) [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:871: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] method = 'GET', url = '/v1/models', body = None [e2e-llm-inference-service] headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive', 'Content-Type': 'application/json', 'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/facebook/opt-125m'} [e2e-llm-inference-service] retries = Retry(total=6, connect=None, read=None, redirect=None, status=None) [e2e-llm-inference-service] redirect = False, assert_same_host = False [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None [e2e-llm-inference-service] release_conn = False, chunked = False, body_pos = None, preload_content = False [e2e-llm-inference-service] decode_content = False, response_kw = {} [e2e-llm-inference-service] parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/v1/models', query=None, fragment=None) [e2e-llm-inference-service] destination_scheme = None, conn = None, release_this_conn = True [e2e-llm-inference-service] http_tunnel_required = False [e2e-llm-inference-service] err = RemoteDisconnected('Remote end closed connection without response') [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] parsed_url = parse_url(url) [e2e-llm-inference-service] destination_scheme = parsed_url.scheme [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] # Ensure that the URL we're connecting to is properly encoded [e2e-llm-inference-service] if url.startswith("/"): [e2e-llm-inference-service] url = to_str(_encode_target(url)) [e2e-llm-inference-service] else: [e2e-llm-inference-service] url = to_str(parsed_url.url) [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:871: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] method = 'GET', url = '/v1/models', body = None [e2e-llm-inference-service] headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive', 'Content-Type': 'application/json', 'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/facebook/opt-125m'} [e2e-llm-inference-service] retries = Retry(total=5, connect=None, read=None, redirect=None, status=None) [e2e-llm-inference-service] redirect = False, assert_same_host = False [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None [e2e-llm-inference-service] release_conn = False, chunked = False, body_pos = None, preload_content = False [e2e-llm-inference-service] decode_content = False, response_kw = {} [e2e-llm-inference-service] parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/v1/models', query=None, fragment=None) [e2e-llm-inference-service] destination_scheme = None, conn = None, release_this_conn = True [e2e-llm-inference-service] http_tunnel_required = False [e2e-llm-inference-service] err = ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)") [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] parsed_url = parse_url(url) [e2e-llm-inference-service] destination_scheme = parsed_url.scheme [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] # Ensure that the URL we're connecting to is properly encoded [e2e-llm-inference-service] if url.startswith("/"): [e2e-llm-inference-service] url = to_str(_encode_target(url)) [e2e-llm-inference-service] else: [e2e-llm-inference-service] url = to_str(parsed_url.url) [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:871: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] method = 'GET', url = '/v1/models', body = None [e2e-llm-inference-service] headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive', 'Content-Type': 'application/json', 'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/facebook/opt-125m'} [e2e-llm-inference-service] retries = Retry(total=4, connect=None, read=None, redirect=None, status=None) [e2e-llm-inference-service] redirect = False, assert_same_host = False [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None [e2e-llm-inference-service] release_conn = False, chunked = False, body_pos = None, preload_content = False [e2e-llm-inference-service] decode_content = False, response_kw = {} [e2e-llm-inference-service] parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/v1/models', query=None, fragment=None) [e2e-llm-inference-service] destination_scheme = None, conn = None, release_this_conn = True [e2e-llm-inference-service] http_tunnel_required = False [e2e-llm-inference-service] err = ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)") [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] parsed_url = parse_url(url) [e2e-llm-inference-service] destination_scheme = parsed_url.scheme [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] # Ensure that the URL we're connecting to is properly encoded [e2e-llm-inference-service] if url.startswith("/"): [e2e-llm-inference-service] url = to_str(_encode_target(url)) [e2e-llm-inference-service] else: [e2e-llm-inference-service] url = to_str(parsed_url.url) [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:871: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] method = 'GET', url = '/v1/models', body = None [e2e-llm-inference-service] headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive', 'Content-Type': 'application/json', 'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/facebook/opt-125m'} [e2e-llm-inference-service] retries = Retry(total=3, connect=None, read=None, redirect=None, status=None) [e2e-llm-inference-service] redirect = False, assert_same_host = False [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None [e2e-llm-inference-service] release_conn = False, chunked = False, body_pos = None, preload_content = False [e2e-llm-inference-service] decode_content = False, response_kw = {} [e2e-llm-inference-service] parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/v1/models', query=None, fragment=None) [e2e-llm-inference-service] destination_scheme = None, conn = None, release_this_conn = True [e2e-llm-inference-service] http_tunnel_required = False [e2e-llm-inference-service] err = ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)") [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] parsed_url = parse_url(url) [e2e-llm-inference-service] destination_scheme = parsed_url.scheme [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] # Ensure that the URL we're connecting to is properly encoded [e2e-llm-inference-service] if url.startswith("/"): [e2e-llm-inference-service] url = to_str(_encode_target(url)) [e2e-llm-inference-service] else: [e2e-llm-inference-service] url = to_str(parsed_url.url) [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:871: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] method = 'GET', url = '/v1/models', body = None [e2e-llm-inference-service] headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive', 'Content-Type': 'application/json', 'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/facebook/opt-125m'} [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 [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None [e2e-llm-inference-service] release_conn = False, chunked = False, body_pos = None, preload_content = False [e2e-llm-inference-service] decode_content = False, response_kw = {} [e2e-llm-inference-service] parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/v1/models', query=None, fragment=None) [e2e-llm-inference-service] destination_scheme = None, conn = None, release_this_conn = True [e2e-llm-inference-service] http_tunnel_required = False [e2e-llm-inference-service] err = ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)") [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] parsed_url = parse_url(url) [e2e-llm-inference-service] destination_scheme = parsed_url.scheme [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] # Ensure that the URL we're connecting to is properly encoded [e2e-llm-inference-service] if url.startswith("/"): [e2e-llm-inference-service] url = to_str(_encode_target(url)) [e2e-llm-inference-service] else: [e2e-llm-inference-service] url = to_str(parsed_url.url) [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:871: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] method = 'GET', url = '/v1/models', body = None [e2e-llm-inference-service] headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive', 'Content-Type': 'application/json', 'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/facebook/opt-125m'} [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 [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None [e2e-llm-inference-service] release_conn = False, chunked = False, body_pos = None, preload_content = False [e2e-llm-inference-service] decode_content = False, response_kw = {} [e2e-llm-inference-service] parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/v1/models', query=None, fragment=None) [e2e-llm-inference-service] destination_scheme = None, conn = None, release_this_conn = True [e2e-llm-inference-service] http_tunnel_required = False [e2e-llm-inference-service] err = ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)") [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] parsed_url = parse_url(url) [e2e-llm-inference-service] destination_scheme = parsed_url.scheme [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] # Ensure that the URL we're connecting to is properly encoded [e2e-llm-inference-service] if url.startswith("/"): [e2e-llm-inference-service] url = to_str(_encode_target(url)) [e2e-llm-inference-service] else: [e2e-llm-inference-service] url = to_str(parsed_url.url) [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:871: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] method = 'GET', url = '/v1/models', body = None [e2e-llm-inference-service] headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive', 'Content-Type': 'application/json', 'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/facebook/opt-125m'} [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 [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None [e2e-llm-inference-service] release_conn = False, chunked = False, body_pos = None, preload_content = False [e2e-llm-inference-service] decode_content = False, response_kw = {} [e2e-llm-inference-service] parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/v1/models', query=None, fragment=None) [e2e-llm-inference-service] destination_scheme = None, conn = None, release_this_conn = True [e2e-llm-inference-service] http_tunnel_required = False [e2e-llm-inference-service] err = ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)") [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] parsed_url = parse_url(url) [e2e-llm-inference-service] destination_scheme = parsed_url.scheme [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] # Ensure that the URL we're connecting to is properly encoded [e2e-llm-inference-service] if url.startswith("/"): [e2e-llm-inference-service] url = to_str(_encode_target(url)) [e2e-llm-inference-service] else: [e2e-llm-inference-service] url = to_str(parsed_url.url) [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:871: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] method = 'GET', url = '/v1/models', body = None [e2e-llm-inference-service] headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive', 'Content-Type': 'application/json', 'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/facebook/opt-125m'} [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 [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None [e2e-llm-inference-service] release_conn = False, chunked = False, body_pos = None, preload_content = False [e2e-llm-inference-service] decode_content = False, response_kw = {} [e2e-llm-inference-service] parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/v1/models', query=None, fragment=None) [e2e-llm-inference-service] destination_scheme = None, conn = None, release_this_conn = True [e2e-llm-inference-service] http_tunnel_required = False, err = None, 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] parsed_url = parse_url(url) [e2e-llm-inference-service] destination_scheme = parsed_url.scheme [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] # Ensure that the URL we're connecting to is properly encoded [e2e-llm-inference-service] if url.startswith("/"): [e2e-llm-inference-service] url = to_str(_encode_target(url)) [e2e-llm-inference-service] else: [e2e-llm-inference-service] url = to_str(parsed_url.url) [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:841: [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', url = '/v1/models', response = None [e2e-llm-inference-service] error = ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)") [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: HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Max retries exceeded with url: /v1/models (Caused by ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/util/retry.py:519: MaxRetryError [e2e-llm-inference-service] [e2e-llm-inference-service] During handling of the above exception, another exception occurred: [e2e-llm-inference-service] [e2e-llm-inference-service] def get_successful_response(): [e2e-llm-inference-service] try: [e2e-llm-inference-service] if test_case.url_getter: [e2e-llm-inference-service] service_url = test_case.url_getter(kserve_client, test_case.llm_service) [e2e-llm-inference-service] else: [e2e-llm-inference-service] service_url = get_llm_service_url(kserve_client, test_case.llm_service) [e2e-llm-inference-service] except Exception as e: [e2e-llm-inference-service] raise AssertionError(f"❌ Failed to get service URL: {e}") from e [e2e-llm-inference-service] [e2e-llm-inference-service] model_url = service_url + test_case.endpoint [e2e-llm-inference-service] [e2e-llm-inference-service] headers = {"Content-Type": "application/json"} [e2e-llm-inference-service] if extra_headers: [e2e-llm-inference-service] headers.update(extra_headers) [e2e-llm-inference-service] [e2e-llm-inference-service] if test_case.payload_formatter is not None: [e2e-llm-inference-service] test_payload = test_case.payload_formatter(test_case) [e2e-llm-inference-service] elif test_case.prompt is not None: [e2e-llm-inference-service] test_payload = { [e2e-llm-inference-service] "model": test_case.model_name [e2e-llm-inference-service] if not extra_headers or MODEL_ROUTING_HEADER not in extra_headers [e2e-llm-inference-service] else extra_headers[MODEL_ROUTING_HEADER], [e2e-llm-inference-service] "prompt": test_case.prompt, [e2e-llm-inference-service] "max_tokens": test_case.max_tokens, [e2e-llm-inference-service] } [e2e-llm-inference-service] else: [e2e-llm-inference-service] test_payload = None [e2e-llm-inference-service] [e2e-llm-inference-service] logger.info(f"Calling LLM service at {model_url} with payload {test_payload}") [e2e-llm-inference-service] try: [e2e-llm-inference-service] if test_payload is not None: [e2e-llm-inference-service] response = post_with_retry( [e2e-llm-inference-service] model_url, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] json_data=test_payload, [e2e-llm-inference-service] timeout=test_case.response_timeout, [e2e-llm-inference-service] ) [e2e-llm-inference-service] else: [e2e-llm-inference-service] > response = get_with_retry( [e2e-llm-inference-service] model_url, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] timeout=test_case.response_timeout, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:1102: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] url = 'http://abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com/v1/models' [e2e-llm-inference-service] [e2e-llm-inference-service] def get_with_retry( [e2e-llm-inference-service] url: str, [e2e-llm-inference-service] *, [e2e-llm-inference-service] headers: Dict = None, [e2e-llm-inference-service] timeout: float = None, [e2e-llm-inference-service] total_retries: int = DEFAULT_RETRY_TOTAL, [e2e-llm-inference-service] backoff_factor: float = DEFAULT_RETRY_BACKOFF_FACTOR, [e2e-llm-inference-service] retry_status_codes=DEFAULT_RETRY_STATUS_CODES, [e2e-llm-inference-service] ) -> requests.Response: [e2e-llm-inference-service] """ [e2e-llm-inference-service] Send GET request with retries for transient HTTP and network failures. [e2e-llm-inference-service] """ [e2e-llm-inference-service] with _retry_session( [e2e-llm-inference-service] ["GET"], total_retries, backoff_factor, retry_status_codes [e2e-llm-inference-service] ) as session: [e2e-llm-inference-service] > return session.get(url, headers=headers, timeout=timeout) [e2e-llm-inference-service] [e2e-llm-inference-service] common/http_retry.py:46: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] url = 'http://abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com/v1/models' [e2e-llm-inference-service] kwargs = {'allow_redirects': True, 'headers': {'Content-Type': 'application/json', 'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/facebook/opt-125m'}, 'timeout': 60} [e2e-llm-inference-service] [e2e-llm-inference-service] def get(self, url, **kwargs): [e2e-llm-inference-service] r"""Sends a GET request. Returns :class:`Response` object. [e2e-llm-inference-service] [e2e-llm-inference-service] :param url: URL for the new :class:`Request` object. [e2e-llm-inference-service] :param \*\*kwargs: Optional arguments that ``request`` takes. [e2e-llm-inference-service] :rtype: requests.Response [e2e-llm-inference-service] """ [e2e-llm-inference-service] [e2e-llm-inference-service] kwargs.setdefault("allow_redirects", True) [e2e-llm-inference-service] > return self.request("GET", url, **kwargs) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/requests/sessions.py:602: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = , method = 'GET' [e2e-llm-inference-service] url = 'http://abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com/v1/models' [e2e-llm-inference-service] params = None, data = None [e2e-llm-inference-service] headers = {'Content-Type': 'application/json', 'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/facebook/opt-125m'} [e2e-llm-inference-service] cookies = None, files = None, auth = None, timeout = 60, allow_redirects = True [e2e-llm-inference-service] proxies = {}, hooks = None, stream = None, verify = None, cert = None [e2e-llm-inference-service] json = None [e2e-llm-inference-service] [e2e-llm-inference-service] def request( [e2e-llm-inference-service] self, [e2e-llm-inference-service] method, [e2e-llm-inference-service] url, [e2e-llm-inference-service] params=None, [e2e-llm-inference-service] data=None, [e2e-llm-inference-service] headers=None, [e2e-llm-inference-service] cookies=None, [e2e-llm-inference-service] files=None, [e2e-llm-inference-service] auth=None, [e2e-llm-inference-service] timeout=None, [e2e-llm-inference-service] allow_redirects=True, [e2e-llm-inference-service] proxies=None, [e2e-llm-inference-service] hooks=None, [e2e-llm-inference-service] stream=None, [e2e-llm-inference-service] verify=None, [e2e-llm-inference-service] cert=None, [e2e-llm-inference-service] json=None, [e2e-llm-inference-service] ): [e2e-llm-inference-service] """Constructs a :class:`Request `, prepares it and sends it. [e2e-llm-inference-service] Returns :class:`Response ` object. [e2e-llm-inference-service] [e2e-llm-inference-service] :param method: method for the new :class:`Request` object. [e2e-llm-inference-service] :param url: URL for the new :class:`Request` object. [e2e-llm-inference-service] :param params: (optional) Dictionary or bytes to be sent in the query [e2e-llm-inference-service] string for the :class:`Request`. [e2e-llm-inference-service] :param data: (optional) Dictionary, list of tuples, bytes, or file-like [e2e-llm-inference-service] object to send in the body of the :class:`Request`. [e2e-llm-inference-service] :param json: (optional) json to send in the body of the [e2e-llm-inference-service] :class:`Request`. [e2e-llm-inference-service] :param headers: (optional) Dictionary of HTTP Headers to send with the [e2e-llm-inference-service] :class:`Request`. [e2e-llm-inference-service] :param cookies: (optional) Dict or CookieJar object to send with the [e2e-llm-inference-service] :class:`Request`. [e2e-llm-inference-service] :param files: (optional) Dictionary of ``'filename': file-like-objects`` [e2e-llm-inference-service] for multipart encoding upload. [e2e-llm-inference-service] :param auth: (optional) Auth tuple or callable to enable [e2e-llm-inference-service] Basic/Digest/Custom HTTP Auth. [e2e-llm-inference-service] :param timeout: (optional) How long to wait for the server to send [e2e-llm-inference-service] data before giving up, as a float, or a :ref:`(connect timeout, [e2e-llm-inference-service] read timeout) ` tuple. [e2e-llm-inference-service] :type timeout: float or tuple [e2e-llm-inference-service] :param allow_redirects: (optional) Set to True by default. [e2e-llm-inference-service] :type allow_redirects: bool [e2e-llm-inference-service] :param proxies: (optional) Dictionary mapping protocol or protocol and [e2e-llm-inference-service] hostname to the URL of the proxy. [e2e-llm-inference-service] :param hooks: (optional) Dictionary mapping hook name to one event or [e2e-llm-inference-service] list of events, event must be callable. [e2e-llm-inference-service] :param stream: (optional) whether to immediately download the response [e2e-llm-inference-service] content. Defaults to ``False``. [e2e-llm-inference-service] :param verify: (optional) Either a boolean, in which case it controls whether we verify [e2e-llm-inference-service] the server's TLS certificate, or a string, in which case it must be a path [e2e-llm-inference-service] to a CA bundle to use. Defaults to ``True``. When set to [e2e-llm-inference-service] ``False``, requests will accept any TLS certificate presented by [e2e-llm-inference-service] the server, and will ignore hostname mismatches and/or expired [e2e-llm-inference-service] certificates, which will make your application vulnerable to [e2e-llm-inference-service] man-in-the-middle (MitM) attacks. Setting verify to ``False`` [e2e-llm-inference-service] may be useful during local development or testing. [e2e-llm-inference-service] :param cert: (optional) if String, path to ssl client cert file (.pem). [e2e-llm-inference-service] If Tuple, ('cert', 'key') pair. [e2e-llm-inference-service] :rtype: requests.Response [e2e-llm-inference-service] """ [e2e-llm-inference-service] # Create the Request. [e2e-llm-inference-service] req = Request( [e2e-llm-inference-service] method=method.upper(), [e2e-llm-inference-service] url=url, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] files=files, [e2e-llm-inference-service] data=data or {}, [e2e-llm-inference-service] json=json, [e2e-llm-inference-service] params=params or {}, [e2e-llm-inference-service] auth=auth, [e2e-llm-inference-service] cookies=cookies, [e2e-llm-inference-service] hooks=hooks, [e2e-llm-inference-service] ) [e2e-llm-inference-service] prep = self.prepare_request(req) [e2e-llm-inference-service] [e2e-llm-inference-service] proxies = proxies or {} [e2e-llm-inference-service] [e2e-llm-inference-service] settings = self.merge_environment_settings( [e2e-llm-inference-service] prep.url, proxies, stream, verify, cert [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] # Send the request. [e2e-llm-inference-service] send_kwargs = { [e2e-llm-inference-service] "timeout": timeout, [e2e-llm-inference-service] "allow_redirects": allow_redirects, [e2e-llm-inference-service] } [e2e-llm-inference-service] send_kwargs.update(settings) [e2e-llm-inference-service] > resp = self.send(prep, **send_kwargs) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/requests/sessions.py:589: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] request = [e2e-llm-inference-service] kwargs = {'cert': None, 'proxies': OrderedDict(), 'stream': False, 'timeout': 60, ...} [e2e-llm-inference-service] allow_redirects = True, stream = False, hooks = {'response': []} [e2e-llm-inference-service] adapter = [e2e-llm-inference-service] start = 1783438553.040261 [e2e-llm-inference-service] [e2e-llm-inference-service] def send(self, request, **kwargs): [e2e-llm-inference-service] """Send a given PreparedRequest. [e2e-llm-inference-service] [e2e-llm-inference-service] :rtype: requests.Response [e2e-llm-inference-service] """ [e2e-llm-inference-service] # Set defaults that the hooks can utilize to ensure they always have [e2e-llm-inference-service] # the correct parameters to reproduce the previous request. [e2e-llm-inference-service] kwargs.setdefault("stream", self.stream) [e2e-llm-inference-service] kwargs.setdefault("verify", self.verify) [e2e-llm-inference-service] kwargs.setdefault("cert", self.cert) [e2e-llm-inference-service] if "proxies" not in kwargs: [e2e-llm-inference-service] kwargs["proxies"] = resolve_proxies(request, self.proxies, self.trust_env) [e2e-llm-inference-service] [e2e-llm-inference-service] # It's possible that users might accidentally send a Request object. [e2e-llm-inference-service] # Guard against that specific failure case. [e2e-llm-inference-service] if isinstance(request, Request): [e2e-llm-inference-service] raise ValueError("You can only send PreparedRequests.") [e2e-llm-inference-service] [e2e-llm-inference-service] # Set up variables needed for resolve_redirects and dispatching of hooks [e2e-llm-inference-service] allow_redirects = kwargs.pop("allow_redirects", True) [e2e-llm-inference-service] stream = kwargs.get("stream") [e2e-llm-inference-service] hooks = request.hooks [e2e-llm-inference-service] [e2e-llm-inference-service] # Get the appropriate adapter to use [e2e-llm-inference-service] adapter = self.get_adapter(url=request.url) [e2e-llm-inference-service] [e2e-llm-inference-service] # Start time (approximately) of the request [e2e-llm-inference-service] start = preferred_clock() [e2e-llm-inference-service] [e2e-llm-inference-service] # Send the request [e2e-llm-inference-service] > r = adapter.send(request, **kwargs) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/requests/sessions.py:703: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] request = , stream = False [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), verify = '/tmp/ca.crt' [e2e-llm-inference-service] cert = None, proxies = OrderedDict() [e2e-llm-inference-service] [e2e-llm-inference-service] def send( [e2e-llm-inference-service] self, request, stream=False, timeout=None, verify=True, cert=None, proxies=None [e2e-llm-inference-service] ): [e2e-llm-inference-service] """Sends PreparedRequest object. Returns Response object. [e2e-llm-inference-service] [e2e-llm-inference-service] :param request: The :class:`PreparedRequest ` being sent. [e2e-llm-inference-service] :param stream: (optional) Whether to stream the request content. [e2e-llm-inference-service] :param timeout: (optional) How long to wait for the server to send [e2e-llm-inference-service] data before giving up, as a float, or a :ref:`(connect timeout, [e2e-llm-inference-service] read timeout) ` tuple. [e2e-llm-inference-service] :type timeout: float or tuple or urllib3 Timeout object [e2e-llm-inference-service] :param verify: (optional) Either a boolean, in which case it controls whether [e2e-llm-inference-service] we verify the server's TLS certificate, or a string, in which case it [e2e-llm-inference-service] must be a path to a CA bundle to use [e2e-llm-inference-service] :param cert: (optional) Any user-provided SSL certificate to be trusted. [e2e-llm-inference-service] :param proxies: (optional) The proxies dictionary to apply to the request. [e2e-llm-inference-service] :rtype: requests.Response [e2e-llm-inference-service] """ [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] conn = self.get_connection_with_tls_context( [e2e-llm-inference-service] request, verify, proxies=proxies, cert=cert [e2e-llm-inference-service] ) [e2e-llm-inference-service] except LocationValueError as e: [e2e-llm-inference-service] raise InvalidURL(e, request=request) [e2e-llm-inference-service] [e2e-llm-inference-service] self.cert_verify(conn, request.url, verify, cert) [e2e-llm-inference-service] url = self.request_url(request, proxies) [e2e-llm-inference-service] self.add_headers( [e2e-llm-inference-service] request, [e2e-llm-inference-service] stream=stream, [e2e-llm-inference-service] timeout=timeout, [e2e-llm-inference-service] verify=verify, [e2e-llm-inference-service] cert=cert, [e2e-llm-inference-service] proxies=proxies, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] chunked = not (request.body is None or "Content-Length" in request.headers) [e2e-llm-inference-service] [e2e-llm-inference-service] if isinstance(timeout, tuple): [e2e-llm-inference-service] try: [e2e-llm-inference-service] connect, read = timeout [e2e-llm-inference-service] timeout = TimeoutSauce(connect=connect, read=read) [e2e-llm-inference-service] except ValueError: [e2e-llm-inference-service] raise ValueError( [e2e-llm-inference-service] f"Invalid timeout {timeout}. Pass a (connect, read) timeout tuple, " [e2e-llm-inference-service] f"or a single float to set both timeouts to the same value." [e2e-llm-inference-service] ) [e2e-llm-inference-service] elif isinstance(timeout, TimeoutSauce): [e2e-llm-inference-service] pass [e2e-llm-inference-service] else: [e2e-llm-inference-service] timeout = TimeoutSauce(connect=timeout, read=timeout) [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] resp = conn.urlopen( [e2e-llm-inference-service] method=request.method, [e2e-llm-inference-service] url=url, [e2e-llm-inference-service] body=request.body, [e2e-llm-inference-service] headers=request.headers, [e2e-llm-inference-service] redirect=False, [e2e-llm-inference-service] assert_same_host=False, [e2e-llm-inference-service] preload_content=False, [e2e-llm-inference-service] decode_content=False, [e2e-llm-inference-service] retries=self.max_retries, [e2e-llm-inference-service] timeout=timeout, [e2e-llm-inference-service] chunked=chunked, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] except (ProtocolError, OSError) as err: [e2e-llm-inference-service] raise ConnectionError(err, request=request) [e2e-llm-inference-service] [e2e-llm-inference-service] except MaxRetryError as e: [e2e-llm-inference-service] if isinstance(e.reason, ConnectTimeoutError): [e2e-llm-inference-service] # TODO: Remove this in 3.0.0: see #2811 [e2e-llm-inference-service] if not isinstance(e.reason, NewConnectionError): [e2e-llm-inference-service] raise ConnectTimeout(e, request=request) [e2e-llm-inference-service] [e2e-llm-inference-service] if isinstance(e.reason, ResponseError): [e2e-llm-inference-service] raise RetryError(e, request=request) [e2e-llm-inference-service] [e2e-llm-inference-service] if isinstance(e.reason, _ProxyError): [e2e-llm-inference-service] raise ProxyError(e, request=request) [e2e-llm-inference-service] [e2e-llm-inference-service] if isinstance(e.reason, _SSLError): [e2e-llm-inference-service] # This branch is for urllib3 v1.22 and later. [e2e-llm-inference-service] raise SSLError(e, request=request) [e2e-llm-inference-service] [e2e-llm-inference-service] > raise ConnectionError(e, request=request) [e2e-llm-inference-service] E requests.exceptions.ConnectionError: HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Max retries exceeded with url: /v1/models (Caused by ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/requests/adapters.py:700: ConnectionError [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-with-lora-hf'], prompt=None, service_n... {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m') [e2e-llm-inference-service] [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] @pytest.mark.asyncio(loop_scope="session") [e2e-llm-inference-service] @pytest.mark.parametrize( [e2e-llm-inference-service] "test_case", [e2e-llm-inference-service] [ [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-with-gateway-ref", [e2e-llm-inference-service] "router-with-managed-route", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/completions", [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=create_response_assertion(with_field="choices"), [e2e-llm-inference-service] expected_gateway=ROUTER_GATEWAYS[0], [e2e-llm-inference-service] before_test=[ [e2e-llm-inference-service] lambda: create_router_resources( [e2e-llm-inference-service] gateways=[ROUTER_GATEWAYS[0]], [e2e-llm-inference-service] ) [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] pytest.mark.custom_gateway, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-custom-route-timeout", [e2e-llm-inference-service] "scheduler-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="custom-route-timeout-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-with-refs", [e2e-llm-inference-service] "scheduler-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="router-with-refs-test", [e2e-llm-inference-service] expected_gateway=ROUTER_GATEWAYS[0], [e2e-llm-inference-service] before_test=[ [e2e-llm-inference-service] lambda: create_router_resources( [e2e-llm-inference-service] gateways=[ROUTER_GATEWAYS[0]], [e2e-llm-inference-service] routes=[ROUTER_ROUTES[0], ROUTER_ROUTES[1]], [e2e-llm-inference-service] ) [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.custom_gateway, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=["router-managed", "workload-pd-cpu", "model-fb-opt-125m"], [e2e-llm-inference-service] prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. " [e2e-llm-inference-service] "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. " [e2e-llm-inference-service] "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-custom-route-timeout-pd", [e2e-llm-inference-service] "scheduler-managed", [e2e-llm-inference-service] "workload-pd-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. " [e2e-llm-inference-service] "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. " [e2e-llm-inference-service] "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.", [e2e-llm-inference-service] service_name="custom-route-timeout-pd-test", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-with-refs-pd", [e2e-llm-inference-service] "scheduler-managed", [e2e-llm-inference-service] "workload-pd-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. " [e2e-llm-inference-service] "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. " [e2e-llm-inference-service] "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.", [e2e-llm-inference-service] service_name="router-with-refs-pd-test", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] expected_gateway=ROUTER_GATEWAYS[1], [e2e-llm-inference-service] before_test=[ [e2e-llm-inference-service] lambda: create_router_resources( [e2e-llm-inference-service] gateways=[ROUTER_GATEWAYS[1]], [e2e-llm-inference-service] routes=[ROUTER_ROUTES[2], ROUTER_ROUTES[3]], [e2e-llm-inference-service] ) [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.custom_gateway, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-dp-ep-gpu", [e2e-llm-inference-service] "workload-dp-ep-prefill-gpu", [e2e-llm-inference-service] "model-deepseek-v2-lite", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="Delve into the multifaceted implications of a fully disaggregated cloud architecture, specifically " [e2e-llm-inference-service] "where the compute plane (P) and the data plane (D) are independently deployed and managed for a " [e2e-llm-inference-service] "geographically distributed, high-throughput, low-latency microservices ecosystem. Beyond the " [e2e-llm-inference-service] "fundamental challenges of network latency and data consistency, elaborate on the advanced " [e2e-llm-inference-service] "considerations and trade-offs inherent in such a setup: 1. Network Architecture and Protocols: " [e2e-llm-inference-service] "How would the network fabric and underlying protocols (e.g., RDMA, custom transport layers) need to " [e2e-llm-inference-service] "evolve to support optimal performance and minimize inter-plane communication overhead, especially for " [e2e-llm-inference-service] "synchronous operations? Discuss the role of network programmability (e.g., SDN, P4) in dynamically " [e2e-llm-inference-service] "optimizing routing and traffic flow between P and D. 2. Advanced Data Consistency and Durability: " [e2e-llm-inference-service] "Explore sophisticated data consistency models (e.g., causal consistency, strong eventual consistency) " [e2e-llm-inference-service] "and their applicability in balancing performance and data integrity across a globally distributed data plane. " [e2e-llm-inference-service] "Detail strategies for ensuring data durability and fault tolerance, including multi-region replication, " [e2e-llm-inference-service] "intelligent partitioning, and recovery mechanisms in the event of partial or full plane failures. " [e2e-llm-inference-service] "3. Dynamic Resource Orchestration and Cost Optimization: Analyze how an orchestration layer would intelligently " [e2e-llm-inference-service] "manage the independent scaling of compute (P) and data (D) resources, considering fluctuating workloads, " [e2e-llm-inference-service] "cost efficiency, and performance targets (e.g., using predictive analytics for resource provisioning). " [e2e-llm-inference-service] "Discuss mechanisms for dynamically reallocating compute nodes to different data partitions based on " [e2e-llm-inference-service] "workload patterns and data locality, potentially involving live migration strategies. " [e2e-llm-inference-service] "4. Security and Compliance in a Distributed Landscape: Address the enhanced security perimeter " [e2e-llm-inference-service] "challenges, including securing communication channels between P and D (encryption in transit, mutual TLS), " [e2e-llm-inference-service] "fine-grained access control to data at rest and in motion, and identity management across disaggregated " [e2e-llm-inference-service] "components. Discuss how such an architecture impacts compliance with regulatory frameworks (e.g., GDPR, HIPAA) " [e2e-llm-inference-service] "concerning data sovereignty, privacy, and auditability. 5. Operational Complexity and Observability: " [e2e-llm-inference-service] "Examine the increased complexity in monitoring, logging, and tracing across highly decoupled compute and " [e2e-llm-inference-service] "data planes. What specialized tooling and practices (e.g., distributed tracing with OpenTelemetry, advanced AIOps) " [e2e-llm-inference-service] "would be essential? How would incident response and troubleshooting differ in this disaggregated environment " [e2e-llm-inference-service] "compared to traditional integrated systems? Consider the challenges of pinpointing root causes across " [e2e-llm-inference-service] "independent failures. 6. Real-world Applicability and Future Trends: Identify specific industries " [e2e-llm-inference-service] "or use cases (e.g., high-frequency trading, IoT edge processing, large language model inference) " [e2e-llm-inference-service] "where the benefits of P/D disaggregation would strongly outweigh its complexities. " [e2e-llm-inference-service] "Conclude by speculating on emerging technologies or paradigms (e.g., serverless compute functions " [e2e-llm-inference-service] "directly interacting with object storage, in-memory disaggregation) that could further drive or " [e2e-llm-inference-service] "transform P/D disaggregation in cloud computing.", [e2e-llm-inference-service] max_tokens=2000, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_gpu, [e2e-llm-inference-service] pytest.mark.cluster_nvidia, [e2e-llm-inference-service] pytest.mark.cluster_nvidia_roce, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-no-scheduler", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="What is KServe?", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.no_scheduler, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-simulated-dp-ep-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="This test simulates DP+EP that can run on CPU, the idea is to test the LWS-based deployment, " [e2e-llm-inference-service] "but without the resources requirements for DP+EP (GPUs and ROCe/IB).", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_multi_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Scheduler config tests [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-inline-config", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-inline-config-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Chat completions endpoint coverage [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] "model-qwen2.5-0.5b", [e2e-llm-inference-service] ], [e2e-llm-inference-service] model_name="Qwen/Qwen2.5-0.5B-Instruct", [e2e-llm-inference-service] endpoint="/v1/chat/completions", [e2e-llm-inference-service] prompt="What is KServe?", [e2e-llm-inference-service] payload_formatter=chat_completions_payload, [e2e-llm-inference-service] response_assertion=create_response_assertion(with_field="choices"), [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-configmap-ref", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-configmap-ref-test", [e2e-llm-inference-service] before_test=[create_scheduler_configmap], [e2e-llm-inference-service] after_test=[delete_scheduler_configmap], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-replicas", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-ha-replicas-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-custom-template", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-custom-template-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Scheduler v0.6 → v0.7 migration tests. [e2e-llm-inference-service] # Deploy v0.6-style configs and verify the controller migrates them [e2e-llm-inference-service] # so the v0.7 scheduler boots successfully. [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-v06-pd-config-migration", [e2e-llm-inference-service] "workload-llmd-simulator-pd", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-v06-pd-migration-test", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-v06-nonzero-threshold-migration", [e2e-llm-inference-service] "workload-llmd-simulator-pd", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-v06-threshold-migration-test", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Precise prefix KV cache routing test [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-precise-prefix-cache-inline-config", [e2e-llm-inference-service] "workload-llmd-simulator-kvcache", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="precise-prefix-cache-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Models endpoint coverage [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/models", [e2e-llm-inference-service] response_assertion=create_response_assertion(with_field="data"), [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Model-based routing via X-Gateway-Model-Name header — /v1/completions [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/completions", [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches("facebook/opt-125m"), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m", [e2e-llm-inference-service] }, [e2e-llm-inference-service] peers=[ [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] "model-qwen2.5-0.5b", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/completions", [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches( [e2e-llm-inference-service] "Qwen/Qwen2.5-0.5B-Instruct" [e2e-llm-inference-service] ), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/Qwen/Qwen2.5-0.5B-Instruct", [e2e-llm-inference-service] }, [e2e-llm-inference-service] ), [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] pytest.mark.model_routing, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Model-based routing via X-Gateway-Model-Name header — /v1/chat/completions [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/chat/completions", [e2e-llm-inference-service] prompt="What is KServe?", [e2e-llm-inference-service] payload_formatter=chat_completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches("facebook/opt-125m"), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m", [e2e-llm-inference-service] }, [e2e-llm-inference-service] peers=[ [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] "model-qwen2.5-0.5b", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/chat/completions", [e2e-llm-inference-service] prompt="What is KServe?", [e2e-llm-inference-service] payload_formatter=chat_completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches( [e2e-llm-inference-service] "Qwen/Qwen2.5-0.5B-Instruct" [e2e-llm-inference-service] ), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/Qwen/Qwen2.5-0.5B-Instruct", [e2e-llm-inference-service] }, [e2e-llm-inference-service] ), [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] pytest.mark.model_routing, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Model-based routing via X-Gateway-Model-Name header — LoRA adapter [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m-with-lora-hf", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/completions", [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] model_name=f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches( [e2e-llm-inference-service] f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1" [e2e-llm-inference-service] ), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1", [e2e-llm-inference-service] }, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.model_routing, [e2e-llm-inference-service] pytest.mark.lora, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Model-based routing via X-Gateway-Model-Name header — /v1/models (base + LoRA) [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m-with-lora-hf", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/models", [e2e-llm-inference-service] response_assertion=assert_models_contains( [e2e-llm-inference-service] "facebook/opt-125m", [e2e-llm-inference-service] f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m", [e2e-llm-inference-service] "lora-adapter-1", [e2e-llm-inference-service] f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1", [e2e-llm-inference-service] ), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m", [e2e-llm-inference-service] }, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.model_routing, [e2e-llm-inference-service] pytest.mark.lora, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # PVC storage tests -- validate direct PVC volume mount with real vLLM serving [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-pvc", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] before_test=[ensure_pvc_with_model], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.pvc_storage, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-pd-cpu", [e2e-llm-inference-service] "model-pvc", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] before_test=[ensure_pvc_with_model], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.pvc_storage, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-simulated-dp-ep-cpu", [e2e-llm-inference-service] "model-pvc", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] before_test=[ensure_pvc_with_model], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_multi_node, [e2e-llm-inference-service] pytest.mark.pvc_storage, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] ], [e2e-llm-inference-service] indirect=["test_case"], [e2e-llm-inference-service] ids=generate_test_id, [e2e-llm-inference-service] ) [e2e-llm-inference-service] @log_execution [e2e-llm-inference-service] def test_llm_inference_service(test_case: TestCase): # noqa: F811 [e2e-llm-inference-service] inject_k8s_proxy() [e2e-llm-inference-service] [e2e-llm-inference-service] kserve_client = KServeClient( [e2e-llm-inference-service] config_file=os.environ.get("KUBECONFIG", "~/.kube/config"), [e2e-llm-inference-service] client_configuration=client.Configuration(), [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] service_name = test_case.llm_service.metadata.name [e2e-llm-inference-service] if not test_case.llm_service.metadata.annotations: [e2e-llm-inference-service] test_case.llm_service.metadata.annotations = {} [e2e-llm-inference-service] [e2e-llm-inference-service] test_case.llm_service.metadata.annotations[ [e2e-llm-inference-service] "security.opendatahub.io/enable-auth" [e2e-llm-inference-service] ] = "false" [e2e-llm-inference-service] prefix = test_case.log_prefix [e2e-llm-inference-service] [e2e-llm-inference-service] test_failed = False [e2e-llm-inference-service] try: [e2e-llm-inference-service] print(f"{prefix} Creating LLMInferenceService {service_name}") [e2e-llm-inference-service] create_llmisvc(kserve_client, test_case.llm_service) [e2e-llm-inference-service] print(f"{prefix} Waiting for LLMInferenceService {service_name} to be ready") [e2e-llm-inference-service] wait_for_llm_isvc_ready( [e2e-llm-inference-service] kserve_client, test_case.llm_service, test_case.wait_timeout [e2e-llm-inference-service] ) [e2e-llm-inference-service] print(f"{prefix} Waiting for model response from {service_name}") [e2e-llm-inference-service] > wait_for_model_response( [e2e-llm-inference-service] kserve_client, [e2e-llm-inference-service] test_case, [e2e-llm-inference-service] test_case.wait_timeout, [e2e-llm-inference-service] extra_headers=test_case.extra_headers, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:816: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] args = (, TestCase(base_refs=['router-managed', 'workload-sin... {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m'), 900) [e2e-llm-inference-service] kwargs = {'extra_headers': {'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/facebook/opt-125m'}} [e2e-llm-inference-service] func_name = 'wait_for_model_response' [e2e-llm-inference-service] timestamp_start = '2026-07-07T15:35:53.021020', start_time = 1783438553.021634 [e2e-llm-inference-service] duration = 904.6091697216034, timestamp_end = '2026-07-07T15:50:57.630806' [e2e-llm-inference-service] [e2e-llm-inference-service] @functools.wraps(func) [e2e-llm-inference-service] def wrapper(*args, **kwargs): [e2e-llm-inference-service] func_name = func.__name__ [e2e-llm-inference-service] [e2e-llm-inference-service] timestamp_start = datetime.now().isoformat() [e2e-llm-inference-service] logger.info( [e2e-llm-inference-service] f"[{func_name}] [{timestamp_start}] start - args={args}, kwargs={kwargs}" [e2e-llm-inference-service] ) [e2e-llm-inference-service] start_time = time.time() [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] > result = func(*args, **kwargs) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/logging.py:40: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] kserve_client = [e2e-llm-inference-service] test_case = TestCase(base_refs=['router-managed', 'workload-single-cpu', 'model-fb-opt-125m-with-lora-hf'], prompt=None, service_n... {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m') [e2e-llm-inference-service] timeout_seconds = 900 [e2e-llm-inference-service] extra_headers = {'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/facebook/opt-125m'} [e2e-llm-inference-service] [e2e-llm-inference-service] @log_execution [e2e-llm-inference-service] def wait_for_model_response( [e2e-llm-inference-service] kserve_client: KServeClient, [e2e-llm-inference-service] test_case: TestCase, # noqa: F811 [e2e-llm-inference-service] timeout_seconds: int = 900, [e2e-llm-inference-service] extra_headers: Optional[Dict[str, str]] = None, [e2e-llm-inference-service] ) -> str: [e2e-llm-inference-service] def get_successful_response(): [e2e-llm-inference-service] try: [e2e-llm-inference-service] if test_case.url_getter: [e2e-llm-inference-service] service_url = test_case.url_getter(kserve_client, test_case.llm_service) [e2e-llm-inference-service] else: [e2e-llm-inference-service] service_url = get_llm_service_url(kserve_client, test_case.llm_service) [e2e-llm-inference-service] except Exception as e: [e2e-llm-inference-service] raise AssertionError(f"❌ Failed to get service URL: {e}") from e [e2e-llm-inference-service] [e2e-llm-inference-service] model_url = service_url + test_case.endpoint [e2e-llm-inference-service] [e2e-llm-inference-service] headers = {"Content-Type": "application/json"} [e2e-llm-inference-service] if extra_headers: [e2e-llm-inference-service] headers.update(extra_headers) [e2e-llm-inference-service] [e2e-llm-inference-service] if test_case.payload_formatter is not None: [e2e-llm-inference-service] test_payload = test_case.payload_formatter(test_case) [e2e-llm-inference-service] elif test_case.prompt is not None: [e2e-llm-inference-service] test_payload = { [e2e-llm-inference-service] "model": test_case.model_name [e2e-llm-inference-service] if not extra_headers or MODEL_ROUTING_HEADER not in extra_headers [e2e-llm-inference-service] else extra_headers[MODEL_ROUTING_HEADER], [e2e-llm-inference-service] "prompt": test_case.prompt, [e2e-llm-inference-service] "max_tokens": test_case.max_tokens, [e2e-llm-inference-service] } [e2e-llm-inference-service] else: [e2e-llm-inference-service] test_payload = None [e2e-llm-inference-service] [e2e-llm-inference-service] logger.info(f"Calling LLM service at {model_url} with payload {test_payload}") [e2e-llm-inference-service] try: [e2e-llm-inference-service] if test_payload is not None: [e2e-llm-inference-service] response = post_with_retry( [e2e-llm-inference-service] model_url, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] json_data=test_payload, [e2e-llm-inference-service] timeout=test_case.response_timeout, [e2e-llm-inference-service] ) [e2e-llm-inference-service] else: [e2e-llm-inference-service] response = get_with_retry( [e2e-llm-inference-service] model_url, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] timeout=test_case.response_timeout, [e2e-llm-inference-service] ) [e2e-llm-inference-service] except Exception as e: [e2e-llm-inference-service] logger.error(f"❌ Failed to call model: {e}") [e2e-llm-inference-service] raise AssertionError(f"❌ Failed to call model: {e}") from e [e2e-llm-inference-service] [e2e-llm-inference-service] logger.info(f"Model response is {response.status_code}: {response.text[:500]}") [e2e-llm-inference-service] [e2e-llm-inference-service] if 200 <= response.status_code < 300: [e2e-llm-inference-service] return response [e2e-llm-inference-service] raise AssertionError( [e2e-llm-inference-service] f"Service returned {response.status_code}: {response.text}" [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] > response = wait_for(get_successful_response, timeout=timeout_seconds, interval=5.0) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:1119: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] assertion_fn = .get_successful_response at 0x7fb9db8fec00> [e2e-llm-inference-service] timeout = 900, interval = 5.0 [e2e-llm-inference-service] [e2e-llm-inference-service] def wait_for( [e2e-llm-inference-service] assertion_fn: Callable[[], Any], timeout: float = 5.0, interval: float = 0.1 [e2e-llm-inference-service] ) -> Any: [e2e-llm-inference-service] """Wait for the assertion to succeed within timeout.""" [e2e-llm-inference-service] deadline = time.time() + timeout [e2e-llm-inference-service] last_msg = None [e2e-llm-inference-service] while True: [e2e-llm-inference-service] try: [e2e-llm-inference-service] > return assertion_fn() [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:1215: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] def get_successful_response(): [e2e-llm-inference-service] try: [e2e-llm-inference-service] if test_case.url_getter: [e2e-llm-inference-service] service_url = test_case.url_getter(kserve_client, test_case.llm_service) [e2e-llm-inference-service] else: [e2e-llm-inference-service] service_url = get_llm_service_url(kserve_client, test_case.llm_service) [e2e-llm-inference-service] except Exception as e: [e2e-llm-inference-service] raise AssertionError(f"❌ Failed to get service URL: {e}") from e [e2e-llm-inference-service] [e2e-llm-inference-service] model_url = service_url + test_case.endpoint [e2e-llm-inference-service] [e2e-llm-inference-service] headers = {"Content-Type": "application/json"} [e2e-llm-inference-service] if extra_headers: [e2e-llm-inference-service] headers.update(extra_headers) [e2e-llm-inference-service] [e2e-llm-inference-service] if test_case.payload_formatter is not None: [e2e-llm-inference-service] test_payload = test_case.payload_formatter(test_case) [e2e-llm-inference-service] elif test_case.prompt is not None: [e2e-llm-inference-service] test_payload = { [e2e-llm-inference-service] "model": test_case.model_name [e2e-llm-inference-service] if not extra_headers or MODEL_ROUTING_HEADER not in extra_headers [e2e-llm-inference-service] else extra_headers[MODEL_ROUTING_HEADER], [e2e-llm-inference-service] "prompt": test_case.prompt, [e2e-llm-inference-service] "max_tokens": test_case.max_tokens, [e2e-llm-inference-service] } [e2e-llm-inference-service] else: [e2e-llm-inference-service] test_payload = None [e2e-llm-inference-service] [e2e-llm-inference-service] logger.info(f"Calling LLM service at {model_url} with payload {test_payload}") [e2e-llm-inference-service] try: [e2e-llm-inference-service] if test_payload is not None: [e2e-llm-inference-service] response = post_with_retry( [e2e-llm-inference-service] model_url, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] json_data=test_payload, [e2e-llm-inference-service] timeout=test_case.response_timeout, [e2e-llm-inference-service] ) [e2e-llm-inference-service] else: [e2e-llm-inference-service] response = get_with_retry( [e2e-llm-inference-service] model_url, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] timeout=test_case.response_timeout, [e2e-llm-inference-service] ) [e2e-llm-inference-service] except Exception as e: [e2e-llm-inference-service] logger.error(f"❌ Failed to call model: {e}") [e2e-llm-inference-service] > raise AssertionError(f"❌ Failed to call model: {e}") from e [e2e-llm-inference-service] E AssertionError: ❌ Failed to call model: HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Max retries exceeded with url: /v1/models (Caused by ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:1109: AssertionError [e2e-llm-inference-service] ------------------------------ Captured log setup ------------------------------ [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1637 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1586 Checking LLMInferenceServiceConfig router-managed-llmisvc-model-fb-66e80b02 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1612 Resource not found, creating LLMInferenceServiceConfig router-managed-llmisvc-model-fb-66e80b02 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1622 ✓ Successfully created LLMInferenceServiceConfig router-managed-llmisvc-model-fb-66e80b02 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1586 Checking LLMInferenceServiceConfig workload-single-cpu-llmisvc-mod-1ae2b31a in namespace kserve-ci-e2e-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1612 Resource not found, creating LLMInferenceServiceConfig workload-single-cpu-llmisvc-mod-1ae2b31a [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1622 ✓ Successfully created LLMInferenceServiceConfig workload-single-cpu-llmisvc-mod-1ae2b31a [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1586 Checking LLMInferenceServiceConfig model-fb-opt-125m-with-lora-hf-c0d503b0 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1612 Resource not found, creating LLMInferenceServiceConfig model-fb-opt-125m-with-lora-hf-c0d503b0 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1622 ✓ Successfully created LLMInferenceServiceConfig model-fb-opt-125m-with-lora-hf-c0d503b0 [e2e-llm-inference-service] ------------------------------ Captured log call ------------------------------- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [test_llm_inference_service] [2026-07-07T15:34:16.666109] start - args=(), kwargs={'test_case': TestCase(base_refs=['router-managed', 'workload-single-cpu', 'model-fb-opt-125m-with-lora-hf'], prompt=None, service_name='llmisvc-model-fb-opt-125m-with-ba4d693a', endpoint='/v1/models', max_tokens=20, payload_formatter=None, response_assertion=.response_assertion at 0x7fb9dc91c2c0>, wait_timeout=900, response_timeout=60, extra_headers={'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/facebook/opt-125m'}, url_getter=, expected_gateway=None, before_test=[], after_test=[], peers=[], llm_service={'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': None, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m')} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1637 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [create_llmisvc] [2026-07-07T15:34:16.679465] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [create_llmisvc] [2026-07-07T15:34:16.872665] end - ✅ in 0.193s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [wait_for_llm_isvc_ready] [2026-07-07T15:34:16.872863] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}, 900), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1222 Waiting: No conditions found in status [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1222 Waiting: Missing true conditions: {'Ready', 'WorkloadsReady', 'RouterReady'}, expected {'Ready', 'WorkloadsReady', 'RouterReady'}, got [{'lastTransitionTime': '2026-07-07T15:34:23Z', 'message': 'The following HTTPRoutes are not ready: [kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-route: "False" (reason "InvalidKind", message "referencing unsupported backendRef: group \\"inference.networking.x-k8s.io\\" kind \\"InferencePool\\"")]', 'reason': 'HTTPRoutesNotReady', 'severity': 'Info', 'status': 'False', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-07T15:34:23Z', 'message': 'Inference Pool kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-inference-pool exists but no Gateway controller has accepted it yet', 'reason': 'WaitingForGateway', 'severity': 'Info', 'status': 'False', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-07T15:34:23Z', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-07T15:34:23Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-07T15:34:23Z', 'message': 'The following HTTPRoutes are not ready: [kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-route: "False" (reason "InvalidKind", message "referencing unsupported backendRef: group \\"inference.networking.x-k8s.io\\" kind \\"InferencePool\\"")]', 'reason': 'HTTPRoutesNotReady', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-07T15:34:23Z', 'message': 'The following HTTPRoutes are not ready: [kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-route: "False" (reason "InvalidKind", message "referencing unsupported backendRef: group \\"inference.networking.x-k8s.io\\" kind \\"InferencePool\\"")]', 'reason': 'HTTPRoutesNotReady', 'status': 'False', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-07T15:34:23Z', 'message': 'Deployment rollout in progress', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-07T15:34:23Z', 'reason': 'Progressing', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1222 Waiting: Missing true conditions: {'Ready', 'WorkloadsReady', 'RouterReady'}, expected {'Ready', 'WorkloadsReady', 'RouterReady'}, got [{'lastTransitionTime': '2026-07-07T15:34:40Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-07T15:34:40Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-07T15:34:40Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-07T15:34:23Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-07T15:34:40Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-07T15:34:40Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-07T15:34:40Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-07T15:34:40Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1222 Waiting: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'Ready', 'WorkloadsReady', 'RouterReady'}, got [{'lastTransitionTime': '2026-07-07T15:34:40Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-07T15:34:40Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-07T15:34:40Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-07T15:34:23Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-07T15:34:40Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-07T15:34:56Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-07T15:34:56Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-07T15:34:40Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [wait_for_llm_isvc_ready] [2026-07-07T15:35:53.020767] end - ✅ in 96.148s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [wait_for_model_response] [2026-07-07T15:35:53.021020] start - args=(, TestCase(base_refs=['router-managed', 'workload-single-cpu', 'model-fb-opt-125m-with-lora-hf'], prompt=None, service_name='llmisvc-model-fb-opt-125m-with-ba4d693a', endpoint='/v1/models', max_tokens=20, payload_formatter=None, response_assertion=.response_assertion at 0x7fb9dc91c2c0>, wait_timeout=900, response_timeout=60, extra_headers={'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/facebook/opt-125m'}, url_getter=, expected_gateway=None, before_test=[], after_test=[], peers=[], llm_service={'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m'), 900), kwargs={'extra_headers': {'X-Gateway-Model-Name': 'publishers/kserve-ci-e2e-test/models/facebook/opt-125m'}} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_model_routing_url] [2026-07-07T15:35:53.021654] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-fb-opt-125m-with-ba4d693a', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-fb-66e80b02'}, [e2e-llm-inference-service] {'name': 'workload-single-cpu-llmisvc-mod-1ae2b31a'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-with-lora-hf-c0d503b0'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:181 Found model-routing URL for llmisvc-model-fb-opt-125m-with-ba4d693a: http://abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com/ (name='gateway-external-model-routing', path='/') [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_model_routing_url] [2026-07-07T15:35:53.038857] end - ✅ in 0.017s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com/v1/models with payload None [e2e-llm-inference-service] WARNING urllib3.connectionpool:connectionpool.py:868 Retrying (Retry(total=7, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")': /v1/models [e2e-llm-inference-service] WARNING urllib3.connectionpool:connectionpool.py:868 Retrying (Retry(total=6, connect=None, read=None, redirect=None, status=None)) after connection broken by 'RemoteDisconnected('Remote end closed connection without response')': /v1/models [e2e-llm-inference-service] WARNING urllib3.connectionpool:connectionpool.py:868 Retrying (Retry(total=5, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")': /v1/models [e2e-llm-inference-service] WARNING urllib3.connectionpool:connectionpool.py:868 Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")': /v1/models [e2e-llm-inference-service] WARNING urllib3.connectionpool:connectionpool.py:868 Retrying (Retry(total=3, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")': /v1/models [e2e-llm-inference-service] WARNING urllib3.connectionpool:connectionpool.py:868 Retrying (Retry(total=2, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")': /v1/models [e2e-llm-inference-service] WARNING urllib3.connectionpool:connectionpool.py:868 Retrying (Retry(total=1, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")': /v1/models [e2e-llm-inference-service] WARNING urllib3.connectionpool:connectionpool.py:868 Retrying (Retry(total=0, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")': /v1/models [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:test_llm_inference_service.py:1108 ❌ Failed to call model: HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Max retries exceeded with url: /v1/models (Caused by ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")) [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:test_llm_inference_service.py:1219 Timed out waiting: ❌ Failed to call model: HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Max retries exceeded with url: /v1/models (Caused by ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")) [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:logging.py:48 [wait_for_model_response] [2026-07-07T15:50:57.630806] end - ❌ 904.609s: ❌ Failed to call model: HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Max retries exceeded with url: /v1/models (Caused by ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")) [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:test_llm_inference_service.py:831 [router-managed-workload-single-cpu-model-fb-opt-125m-with-lora-hf] ❌ ERROR: Failed to call llm inference service llmisvc-model-fb-opt-125m-with-ba4d693a: ❌ Failed to call model: HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Max retries exceeded with url: /v1/models (Caused by ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1240 🔍 # Diagnostics for 'llmisvc-model-fb-opt-125m-with-ba4d693a' in 'kserve-ci-e2e-test' [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1241 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1242 # LLMInferenceService llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1245 apiVersion: serving.kserve.io/v1alpha1 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] security.opendatahub.io/enable-auth: 'false' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:34:16Z' [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: '2026-07-07T15:34:16Z' [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: '2026-07-07T15:34:16Z' [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:addresses: {} [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-decode-template: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-decode-worker-data-parallel: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-prefill-template: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-prefill-worker-data-parallel: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-router-route: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-scheduler: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-template: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-tracing: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-worker-data-parallel: {} [e2e-llm-inference-service] f:appliedConfigs: {} [e2e-llm-inference-service] f:conditions: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:router: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:gateways: {} [e2e-llm-inference-service] f:scheduler: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:inferencePool: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:group: {} [e2e-llm-inference-service] f:kind: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:service: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:group: {} [e2e-llm-inference-service] f:kind: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:url: {} [e2e-llm-inference-service] f:workloads: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:primary: {} [e2e-llm-inference-service] f:scheduler: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-07T15:35:52Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] resourceVersion: '47129' [e2e-llm-inference-service] uid: 278bdfad-82e5-41ea-b741-03303565a8e9 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] baseRefs: [e2e-llm-inference-service] - name: router-managed-llmisvc-model-fb-66e80b02 [e2e-llm-inference-service] - name: workload-single-cpu-llmisvc-mod-1ae2b31a [e2e-llm-inference-service] - name: model-fb-opt-125m-with-lora-hf-c0d503b0 [e2e-llm-inference-service] model: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] uri: '' [e2e-llm-inference-service] status: [e2e-llm-inference-service] addresses: [e2e-llm-inference-service] - name: gateway-external-model-routing [e2e-llm-inference-service] url: http://abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com/ [e2e-llm-inference-service] - name: gateway-external [e2e-llm-inference-service] url: http://abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com/kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] - name: gateway-internal-model-routing [e2e-llm-inference-service] url: http://openshift-ai-inference-openshift-default.openshift-ingress.svc.cluster.local/ [e2e-llm-inference-service] - name: gateway-internal [e2e-llm-inference-service] url: http://openshift-ai-inference-openshift-default.openshift-ingress.svc.cluster.local/kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] serving.kserve.io/config-llm-decode-template: kserve-config-llm-decode-template [e2e-llm-inference-service] serving.kserve.io/config-llm-decode-worker-data-parallel: kserve-config-llm-decode-worker-data-parallel [e2e-llm-inference-service] serving.kserve.io/config-llm-prefill-template: kserve-config-llm-prefill-template [e2e-llm-inference-service] serving.kserve.io/config-llm-prefill-worker-data-parallel: kserve-config-llm-prefill-worker-data-parallel [e2e-llm-inference-service] serving.kserve.io/config-llm-router-route: kserve-config-llm-router-route [e2e-llm-inference-service] serving.kserve.io/config-llm-scheduler: kserve-config-llm-scheduler [e2e-llm-inference-service] serving.kserve.io/config-llm-template: kserve-config-llm-template [e2e-llm-inference-service] serving.kserve.io/config-llm-tracing: kserve-config-llm-tracing [e2e-llm-inference-service] serving.kserve.io/config-llm-worker-data-parallel: kserve-config-llm-worker-data-parallel [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T15:34:40Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: HTTPRoutesReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T15:34:40Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: InferencePoolReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T15:35:52Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: MainWorkloadReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T15:34:23Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: PresetsCombined [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T15:35:52Z' [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: Ready [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T15:34:56Z' [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: RouterReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T15:34:56Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: SchedulerWorkloadReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T15:35:52Z' [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: WorkloadsReady [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] url: http://abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com/kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:44 TIME NAMESPACE SOURCE TYPE REASON MESSAGE [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:45 -------------------------------------------------------------------------------------------------- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-disabled-test-kserve-c58f655c7-9qnmk to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.36/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:28 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:28 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:32 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:32 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:32 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:18:27 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.36:8000/health": dial tcp 10.134.0.36:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-disabled-test-kserve-c58f655c7-9qnmk [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-disabled-test-kserve-router-scheduler-65b4fbcbbd-p87dh to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:28 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.36/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:28 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:28 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:28 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:29 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:29 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:29 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-disabled-test-kserve-router-scheduler-65b4fbcbbd-p87dh [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-disabled-test-kserve-router-scheduler-65b4fbcbbd from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-disabled-test-kserve-c58f655c7 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:20 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy auth-disabled-test-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/auth-disabled-test-kserve-route: HTTPRoute.gateway.networking.k8s.io "auth-disabled-test-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/auth-disabled-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-disabled-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-disabled-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/auth-disabled-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-disabled-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/auth-disabled-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/auth-disabled-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-disabled-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-disabled-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/auth-disabled-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:44 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/auth-disabled-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:44 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/auth-disabled-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:18:38 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [auth-disabled-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-enabled-test-kserve-6545cfc5c9-w82j8 to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.34/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulling Pulling image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:23 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Successfully pulled image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" in 3.609s (3.609s including waiting). Image size: 301881278 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:23 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:23 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:28 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulling Pulling image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:14 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Successfully pulled image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" in 45.616s (45.616s including waiting). Image size: 3531177328 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:14 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:14 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:59 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.34:8000/health": dial tcp 10.134.0.34:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:14 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-enabled-test-kserve-6545cfc5c9-w82j8 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-enabled-test-kserve-router-scheduler-79bc59d7f5-4xdsg to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.42/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:21 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:22 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" in 1.265s (1.265s including waiting). Image size: 75073927 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:22 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:22 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:14 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:14 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-enabled-test-kserve-router-scheduler-79bc59d7f5-4xdsg [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-enabled-test-kserve-router-scheduler-79bc59d7f5 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-enabled-test-kserve-6545cfc5c9 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/auth-enabled-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-enabled-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-enabled-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/auth-enabled-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-enabled-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/auth-enabled-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/auth-enabled-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-enabled-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-enabled-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/auth-enabled-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:42 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/auth-enabled-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/auth-enabled-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:09 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [auth-enabled-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-enabled-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-invalid-token-test-kserve-686cc8ccdc-k45d6 to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.35/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:55 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:55 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:55 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:41 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.35:8000/health": dial tcp 10.134.0.35:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:52 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:08 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Readiness probe failed: Get "https://10.134.0.35:8000/health": dial tcp 10.134.0.35:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:50 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-invalid-token-test-kserve-686cc8ccdc-k45d6 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-invalid-token-test-kserve-router-scheduler-55fc95f97crkwl9 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-invalid-token-test-kserve-router-scheduler-55fc95f97crkwl9 to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.33/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:53 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:53 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:53 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:52 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:52 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-invalid-token-test-kserve-router-scheduler-55fc95f97c from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:50 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-invalid-token-test-kserve-686cc8ccdc from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/auth-invalid-token-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-invalid-token-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-invalid-token-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/auth-invalid-token-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-invalid-token-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/auth-invalid-token-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/auth-invalid-token-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-invalid-token-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-invalid-token-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/auth-invalid-token-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/auth-invalid-token-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/auth-invalid-token-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:51 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [auth-invalid-token-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:52 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-invalid-token-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/custom-route-timeout-test-kserve-864979d845-rg778 to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:16 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.39/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:16 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:16 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:16 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:20 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:20 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:20 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:16 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.39:8000/health": dial tcp 10.134.0.39:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: custom-route-timeout-test-kserve-864979d845-rg778 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: custom-route-timeout-test-kserve-router-scheduler-778d465brn76d [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/custom-route-timeout-test-kserve-router-scheduler-778d465brn76d to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:16 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.39/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:16 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:16 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:16 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:17 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:17 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:17 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set custom-route-timeout-test-kserve-router-scheduler-778d465b5b from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set custom-route-timeout-test-kserve-864979d845 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy custom-route-timeout-test-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/custom-route-timeout-test-kserve-route: HTTPRoute.gateway.networking.k8s.io "custom-route-timeout-test-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/custom-route-timeout-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/custom-route-timeout-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/custom-route-timeout-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/custom-route-timeout-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-custom-route-timeout-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/custom-route-timeout-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/custom-route-timeout-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/custom-route-timeout-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/custom-route-timeout-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/custom-route-timeout-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/custom-route-timeout-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/custom-route-timeout-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:42 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [custom-route-timeout-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:50 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: gw-section-name-router-with-gat-2f0a622e-kserve-7c9c8cffc5mvc8s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve-7c9c8cffc5mvc8s to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:51 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.33/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:51 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:52 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" in 1.225s (1.225s including waiting). Image size: 98346788 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:52 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:52 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:58 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:50 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set gw-section-name-router-with-gat-2f0a622e-kserve-7c9c8cffc5 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/gw-sec0c69dceeb48768325d1a53a749e65786-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.HTTPRoute kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.DestinationRule kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:01 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: gw-section-name-router-with-gat-f1d92d0f-kserve-7bc8dd6c5btwgmp [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve-7bc8dd6c5btwgmp to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:02 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.41/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:02 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:02 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:02 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Warning FailedMount MountVolume.SetUp failed for volume "tls-certs" : secret "gw-sec2774c263d49959f50d9eebc552e13bf9-kserve-self-signed-certs" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:06 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:01 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set gw-section-name-router-with-gat-f1d92d0f-kserve-7bc8dd6c5b from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/gw-sec2774c263d49959f50d9eebc552e13bf9-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.HTTPRoute kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.DestinationRule kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-route-87882a8e-kserve-656d69b45fmlsj7 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve-656d69b45fmlsj7 to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.38/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:36 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:36 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:36 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:23:29 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.38:8000/health": dial tcp 10.134.0.38:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:31:49 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:06 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Readiness probe failed: Get "https://10.134.0.38:8000/health": context deadline exceeded [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-route-87882a8e-kserve-656d69b45f from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-fb-opt-125m-route-87882a8e-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-fb-opt-125m-route-87882a8e-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisva690bbc929faec8bc98c767f16c003c1-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test21fe6730fe484f3a92b1a16afe1bac8f-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvca690bbc929faec8bc98c767f16c003c1-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:46 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisva690bbc929faec8bc98c767f16c003c1-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:46 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:23:40 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-fb-opt-125m-route-87882a8e] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:31:49 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test21fe6730fe484f3a92b1a16afe1bac8f-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:45 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-66874c76d42rwrf [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-66874c76d42rwrf to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:46 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.37/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:46 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:46 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:46 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:06 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:45 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-66874c76d4 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:44 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv122f03714c5bdf915a2917fdf1262b98-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:20:04 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv122f03714c5bdf915a2917fdf1262b98-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:20:05 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-fb-opt-125m-route-e95b1dc1] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-855b7d474b-8hjhw to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.37/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:43 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:43 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:43 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:18:58 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.37:8000/health": dial tcp 10.134.0.37:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-855b7d474b-8hjhw [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-router-sche2449j to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.47/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:39 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:39 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:40 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:40 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:40 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-router-sche2449j [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-with-7ca60146-kserve-router-scheduler-76cdc676b7 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-with-7ca60146-kserve-855b7d474b from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:34 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-fb-opt-125m-with-7ca60146-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-fb-opt-125m-with-7ca60146-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv3e414c2ba058a022dfd694dbcbac5b51-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test5216bfd716f919dc046bc693ceb22e41-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:57 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv3e414c2ba058a022dfd694dbcbac5b51-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:08 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-fb-opt-125m-with-7ca60146] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-d68d9bcc7-gghpz to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:22 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.40/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:22 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:22 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:22 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:27 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:27 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:27 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:35:41 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.40:8000/health": dial tcp 10.134.0.40:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:21 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-d68d9bcc7-gghpz [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-router-sche4jhsb to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:22 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.40/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:22 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:22 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:22 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:24 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:24 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:24 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:22 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-router-sche4jhsb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:22 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-router-scheduler-6f5c957798 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:21 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-d68d9bcc7 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:21 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:21 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv77ff2528d3e9b4972cd9335229fce9f0-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:21 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:21 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:21 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:21 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test05addb65ba05195619f26ef266e8fc04-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:21 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv77ff2528d3e9b4972cd9335229fce9f0-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:35:52 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-fb-opt-125m-with-ba4d693a] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve-5c54ddb98fcrnjb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve-5c54ddb98fcrnjb to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.35/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:49 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve-5c54ddb98f from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv08544b88a8d963ffd553cc1f3ed82d16-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test76d7f532acb694e4a7bcef75d32cd8a1-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc08544b88a8d963ffd553cc1f3ed82d16-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:12 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv08544b88a8d963ffd553cc1f3ed82d16-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:47 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-qwen2-5-0-5b-rout-4f8c0978] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test76d7f532acb694e4a7bcef75d32cd8a1-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve-5d8ffd58ddvv5px [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve-5d8ffd58ddvv5px to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.43/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:05 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve-5d8ffd58dd from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisvb11a9c9832b99b016bc8f8e0ea095712-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-testb7025ca4d8a6f8f5b2fd08b5581d2678-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvcb11a9c9832b99b016bc8f8e0ea095712-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:31 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:31 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisvb11a9c9832b99b016bc8f8e0ea095712-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:31 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:03 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-qwen2-5-0-5b-rout-a50492e9] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:05 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-testb7025ca4d8a6f8f5b2fd08b5581d2678-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-bd545d56-nmndd to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.45/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:08 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-router-managed-test-llm-4b931143-kserve-bd545d56-nmndd [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-router-managed-test-llm-4b931143-kserve-bd545d56 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-router-managed-test-llm-4b931143-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-router-managed-test-llm-4b931143-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisvca2d2d7d499abb359505529ebe02c136-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test8ac8e3d2264ccb939eb021b0b835847c-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:18 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisvca2d2d7d499abb359505529ebe02c136-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:18 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:39 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-router-managed-test-llm-4b931143] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:08 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test8ac8e3d2264ccb939eb021b0b835847c-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-router-managed-test-llm-5b1e8f15-kserve-64df7bddb4nzblz [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-64df7bddb4nzblz to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:29 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.31/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:29 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:29 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:29 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:25 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-router-managed-test-llm-5b1e8f15-kserve-64df7bddb4 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:23 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-router-managed-test-llm-5b1e8f15-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-router-managed-test-llm-5b1e8f15-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisve55ae740357a3a31a27cdb8b66ffe20f-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test7f54e84970003a6e7372bdbcb574f7ed-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:39 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisve55ae740357a3a31a27cdb8b66ffe20f-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:01 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-router-managed-test-llm-5b1e8f15] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test7f54e84970003a6e7372bdbcb574f7ed-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-router-managed-test-llm-e45d1f79-kserve-7fdbbd4879d6nsg [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-7fdbbd4879d6nsg to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.29/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:52 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-router-managed-test-llm-e45d1f79-kserve-7fdbbd4879 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-router-managed-test-llm-e45d1f79-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-router-managed-test-llm-e45d1f79-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv5c7e67b6c51568d1d6d13829a9337f2a-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-testef4d2875be14b30dc1561ed84d0d4bde-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc5c7e67b6c51568d1d6d13829a9337f2a-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv5c7e67b6c51568d1d6d13829a9337f2a-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:52 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-router-managed-test-llm-e45d1f79] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:52 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-testef4d2875be14b30dc1561ed84d0d4bde-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc08544b88a8d963ffd553cc1f3ed82d16-kserve-router-schez7qcx [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc08544b88a8d963ffd553cc1f3ed82d16-kserve-router-scheduler-6fcb489785 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc08544b88a8d963ffd553cc1f3ed82d16-kserve-router-schez7qcx to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.46/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:03 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:03 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:49 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:49 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc5c7e67b6c51568d1d6d13829a9337f2a-kserve-router-schejbsn9 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc5c7e67b6c51568d1d6d13829a9337f2a-kserve-router-scheduler-5dd88bfbb7 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc5c7e67b6c51568d1d6d13829a9337f2a-kserve-router-schejbsn9 to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.30/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:20 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:20 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:52 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:52 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvca690bbc929faec8bc98c767f16c003c1-kserve-router-sche4mmnh to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:30 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.38/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:30 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:30 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:30 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:31 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:31 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:31 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:31:49 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:31:49 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvca690bbc929faec8bc98c767f16c003c1-kserve-router-sche4mmnh [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvca690bbc929faec8bc98c767f16c003c1-kserve-router-scheduler-6d6ccfd7bf from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvcb11a9c9832b99b016bc8f8e0ea095712-kserve-router-schefwv9g [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvcb11a9c9832b99b016bc8f8e0ea095712-kserve-router-scheduler-6d86bd4d9d from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvcb11a9c9832b99b016bc8f8e0ea095712-kserve-router-schefwv9g to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:25 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.44/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:25 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:25 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:25 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:05 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:05 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-schepv8bq [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-scheduler-68cc9685d6 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-schepv8bq to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.34/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:07 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:07 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:07 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:08 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:09 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-schegq6m5 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-scheduler-749449dbc8 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-schegq6m5 to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:29 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.32/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:29 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:29 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:29 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:25 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:25 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/precise-prefix-cache-test-kserve-7cccfc8969-5jsv7 to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.40/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:45 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:47 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" in 1.17s (1.17s including waiting). Image size: 98346788 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:47 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:47 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:53 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/precise-prefix-cache-test-kserve-7cccfc8969-hgnwf to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.27/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulling Pulling image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:45 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Successfully pulled image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" in 3.856s (3.856s including waiting). Image size: 301881278 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:45 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:45 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:50 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:52 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" in 1.366s (1.366s including waiting). Image size: 98346788 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:52 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:52 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:53 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: precise-prefix-cache-test-kserve-7cccfc8969-5jsv7 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: precise-prefix-cache-test-kserve-7cccfc8969-hgnwf [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: precise-prefix-cache-test-kserve-router-scheduler-574f7b5bkxs85 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/precise-prefix-cache-test-kserve-router-scheduler-574f7b5bkxs85 to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:42 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.28/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:42 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulling Pulling image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:45 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Successfully pulled image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" in 3.25s (3.25s including waiting). Image size: 301881278 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:45 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:45 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:46 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:48 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" in 1.812s (1.812s including waiting). Image size: 75073927 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:21 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:21 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:48 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-uds-tokenizer:vllm-v0.19.1" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:20 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-uds-tokenizer:vllm-v0.19.1" in 31.967s (31.967s including waiting). Image size: 2989890188 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:20 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: tokenizer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:20 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container tokenizer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:21 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:43 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Warning Unhealthy Liveness probe failed: timeout: failed to connect service "10.133.0.28:9003" within 1s: context deadline exceeded [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:53 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container tokenizer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:53 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:53 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set precise-prefix-cache-test-kserve-router-scheduler-574f7b5bf from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set precise-prefix-cache-test-kserve-7cccfc8969 from 0 to 2 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:37 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy precise-prefix-cache-test-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/precise-prefix-cache-test-kserve-route: HTTPRoute.gateway.networking.k8s.io "precise-prefix-cache-test-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:40 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/precise-prefix-cache-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/precise-prefix-cache-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/precise-prefix-cache-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/precise-prefix-cache-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-precise-prefix-cache-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/precise-prefix-cache-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/precise-prefix-cache-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/precise-prefix-cache-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/precise-prefix-cache-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:56 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/precise-prefix-cache-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:55 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/precise-prefix-cache-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:56 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/precise-prefix-cache-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:52 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [precise-prefix-cache-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:53 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test-precise-prefix-cache-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-1-openshift-default-857cf9f944-p7rxk to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:32 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.32/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:20:19 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:20:19 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:20:19 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:20:05 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning BackOff Back-off restarting failed container istio-proxy in pod router-gateway-1-openshift-default-857cf9f944-p7rxk_kserve-ci-e2e-test(70147199-b9b1-413d-838d-76f6d8f9b3e2) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:20:25 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "http://10.134.0.32:15021/healthz/ready": dial tcp 10.134.0.32:15021: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:32 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-1-openshift-default-857cf9f944-p7rxk [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:32 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-gateway-1-openshift-default-857cf9f944 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:32 kserve-ci-e2e-test service-controller Normal EnsuringLoadBalancer Ensuring load balancer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:35 kserve-ci-e2e-test service-controller Normal EnsuredLoadBalancer Ensured load balancer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:49:49 kserve-ci-e2e-test gateway_labeler_controller Normal AddedLabel Added label istio.io/rev=openshift-gateway to gateway router-gateway-1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-with-refs-test-kserve-678d989c77-8p9xx to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:07 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.41/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:07 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:07 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:07 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:12 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:12 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:12 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:57 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.41:8000/health": dial tcp 10.134.0.41:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:07 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-with-refs-test-kserve-678d989c77-8p9xx [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-with-refs-test-kserve-router-scheduler-858ff4d95b-8fqfk to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:08 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.49/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:08 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:08 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:08 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:09 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:09 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:09 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:07 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-with-refs-test-kserve-router-scheduler-858ff4d95b-8fqfk [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:07 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-with-refs-test-kserve-router-scheduler-858ff4d95b from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:07 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-with-refs-test-kserve-678d989c77 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/router-with-refs-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/router-with-refs-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/router-with-refs-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/router-with-refs-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-router-with-refs-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/router-with-refs-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/router-with-refs-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/router-with-refs-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/router-with-refs-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:08 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/router-with-refs-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/router-with-refs-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:148 ### Pod llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-d68d9bcc7-gghpz (phase=Running) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:188 #### init-container 'storage-initializer' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:201 # -- logs (current) -- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:202 2026-07-07 15:34:22.483 1 storage.initializer INFO [initializer-entrypoint:():17] Initializing, args: (src_uri, dest_path): [('hf://facebook/opt-125m', '/mnt/models'), ('hf://edbeeching/opt-125m-lora', '/mnt/lora/lora-adapter-1')] [e2e-llm-inference-service] 2026-07-07 15:34:22.483 1 storage.initializer INFO [kserve_storage.py:download():166] Copying contents of hf://facebook/opt-125m to local [e2e-llm-inference-service] 2026-07-07 15:34:26.587 1 storage.initializer INFO [kserve_storage.py:download():234] Successfully copied hf://facebook/opt-125m to /mnt/models [e2e-llm-inference-service] 2026-07-07 15:34:26.587 1 storage.initializer INFO [kserve_storage.py:download():235] Model downloaded in 4.104057982000086 seconds. [e2e-llm-inference-service] 2026-07-07 15:34:26.587 1 storage.initializer INFO [kserve_storage.py:download():166] Copying contents of hf://edbeeching/opt-125m-lora to local [e2e-llm-inference-service] 2026-07-07 15:34:26.920 1 storage.initializer INFO [kserve_storage.py:download():234] Successfully copied hf://edbeeching/opt-125m-lora to /mnt/lora/lora-adapter-1 [e2e-llm-inference-service] 2026-07-07 15:34:26.920 1 storage.initializer INFO [kserve_storage.py:download():235] Model downloaded in 0.3329343909999807 seconds. [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:188 #### container 'main' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:201 # -- logs (current) -- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:202 (APIServer pid=1) DEBUG 07-07 15:48:12 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:13 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:14 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:15 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:15 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:16 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:17 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:18 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:19 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:20 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:21 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:22 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:22 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:23 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:24 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:25 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:25 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:26 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:27 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:28 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:29 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:30 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:31 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:32 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:32 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:33 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:34 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:35 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:35 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:36 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:37 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:38 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:39 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:40 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:41 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:42 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:42 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:43 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:44 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:45 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:45 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:46 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:47 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:48 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:49 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:50 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:51 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:52 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:52 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:53 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:54 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:55 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:55 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:56 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:57 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:58 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:48:59 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:00 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:01 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:02 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:02 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:03 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:04 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:05 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:05 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:06 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:07 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:08 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:09 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:10 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:11 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:12 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:12 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:13 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:14 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:15 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:15 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:16 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:17 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:18 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:19 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:20 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:21 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:22 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:22 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:23 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:24 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:25 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:25 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:26 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:27 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:28 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:29 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:30 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:31 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:32 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:32 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:33 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:34 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:35 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:35 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:36 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:37 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:38 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:39 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:40 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:41 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:42 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:42 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:43 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:44 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:45 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:45 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:46 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:47 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:48 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:49 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:50 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:51 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:52 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:52 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:53 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:54 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:55 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:55 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:56 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:57 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:58 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:49:59 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:00 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:01 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:02 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:02 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:03 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:04 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:05 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:05 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:06 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:07 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:08 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:09 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:10 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:11 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:12 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:12 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:13 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:14 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:15 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:15 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:16 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:17 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:18 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:19 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:20 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:21 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:22 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:22 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:23 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:24 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:25 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:25 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:26 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:27 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:28 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:29 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:30 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:31 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:32 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:32 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:33 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:34 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:35 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:35 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:36 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:37 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:38 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:39 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:40 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:41 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:42 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:42 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:43 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:44 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:45 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:45 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:46 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:47 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:48 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:49 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:50 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:51 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:52 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:52 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:53 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:54 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:55 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:55 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:56 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:57 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 15:50:58 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:148 ### Pod llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-router-sche4jhsb (phase=Running) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:188 #### init-container 'storage-initializer' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:201 # -- logs (current) -- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:202 2026-07-07 15:34:22.948 1 storage.initializer INFO [initializer-entrypoint:():17] Initializing, args: (src_uri, dest_path): [('hf://facebook/opt-125m', '/mnt/models')] [e2e-llm-inference-service] 2026-07-07 15:34:22.948 1 storage.initializer INFO [kserve_storage.py:download():166] Copying contents of hf://facebook/opt-125m to local [e2e-llm-inference-service] 2026-07-07 15:34:22.948 1 storage.initializer INFO [kserve_storage.py:download():169] Allow patterns: ['tokenizer.json', 'tokenizer_config.json', 'special_tokens_map.json', 'vocab.json', 'merges.txt', 'config.json', 'generation_config.json'] [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/8_PA_wEVGiVa2goH2H4KQOQpvVY=.b3fb716a3024261980becb2382e31a3780985130.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_d167a78b-57b9-4b35-a79c-f4deda9df5fb'. [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_5e4dfec4-cdac-4070-b915-04707478c9bd'. [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_b0029d29-fb71-4b9c-a1cb-6a07b6da4142'. [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_28e7cc23-ef86-4f75-8999-fecd0ce3e40e'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/vzaExXFZNBay89bvlQv-ZcI6BTg=.27c24ca9d908d0b678b20c698aeb9e950c44d865.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_dc9f4ac7-8560-49df-a2d0-76476c6542f5'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/j3m-Hy6QvBddw8RXA1uSWl1AJ0c=.0a39732b2d8be8e493cab3da68b68cc3e28221de.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_b4e11e9d-108d-4e10-9c7c-c4242e16bffc'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] 2026-07-07 15:34:23.389 1 storage.initializer INFO [kserve_storage.py:download():234] Successfully copied hf://facebook/opt-125m to /mnt/models [e2e-llm-inference-service] 2026-07-07 15:34:23.389 1 storage.initializer INFO [kserve_storage.py:download():235] Model downloaded in 0.44106353500001205 seconds. [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:188 #### container 'main' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:201 # -- logs (current) -- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:202 {"level":"info","ts":1783438464.1618402,"logger":"setup","caller":"runner/runner.go:196","msg":"GIE build","commit-sha":"181aa8358916e19b8844ccc752b2d6153d4b2ad6","build-ref":"v0.9.0-rc.2"} [e2e-llm-inference-service] Flag --model-server-metrics-scheme has been deprecated, This flag is deprecated. Configure via EndpointPickerConfig data layer plugin parameters instead. [e2e-llm-inference-service] {"level":"info","ts":1783438464.161969,"logger":"setup","caller":"runner/runner.go:217","msg":"Flags processed","flags":{"cert-path":"/var/run/kserve/tls","config-file":"","config-text":"apiVersion: inference.networking.x-k8s.io/v1alpha1\nkind: EndpointPickerConfig\nplugins:\n- type: single-profile-handler\n- type: queue-scorer\n- type: prefix-cache-scorer\n- type: max-score-picker\n- type: lora-affinity-scorer\nschedulingProfiles:\n- name: default\n plugins:\n - pluginRef: lora-affinity-scorer\n weight: 4\n - pluginRef: queue-scorer\n weight: 2\n - pluginRef: prefix-cache-scorer\n weight: 3\n - pluginRef: max-score-picker\n","disable-endpoint-subset-filter":false,"enable-cert-reload":true,"enable-grpc-stream-metrics":false,"enable-pprof":true,"endpoint-selector":"","endpoint-target-ports":{},"grpc-health-port":9003,"grpc-max-recv-msg-size":"","grpc-max-send-msg-size":"","grpc-port":9002,"ha-enable-leader-election":false,"health-checking":false,"metrics-endpoint-auth":true,"metrics-port":9090,"metrics-staleness-threshold":2000000000,"model-server-metrics-https-insecure-skip-verify":true,"model-server-metrics-path":"/metrics","model-server-metrics-port":0,"model-server-metrics-scheme":"https","pool-group":"inference.networking.k8s.io","pool-name":"llmisvc-model-fb-opt-125m-with-ba4d693a-inference-pool","pool-namespace":"kserve-ci-e2e-test","refresh-metrics-interval":50000000,"refresh-prometheus-metrics-interval":5000000000,"secure-serving":true,"tracing":true,"v":2,"zap-devel":{},"zap-encoder":{},"zap-log-level":{},"zap-stacktrace-level":{},"zap-time-encoding":{}}} [e2e-llm-inference-service] {"level":"info","ts":1783438464.1620831,"logger":"setup.trace","caller":"tracing/telemetry.go:123","msg":"init OTel trace exporter","type":"console"} [e2e-llm-inference-service] {"level":"info","ts":1783438464.1626565,"caller":"loader/configloader.go:89","msg":"DEPRECATION: apiVersion inference.networking.x-k8s.io/v1alpha1/EndpointPickerConfig is deprecated","replacement":"llm-d.ai/v1alpha1/EndpointPickerConfig"} [e2e-llm-inference-service] {"level":"info","ts":1783438464.1626976,"caller":"loader/configloader.go:121","msg":"Loaded raw configuration","config":"{Plugins: [{Type: single-profile-handler} {Type: queue-scorer} {Type: prefix-cache-scorer} {Type: max-score-picker} {Type: lora-affinity-scorer}], SchedulingProfiles: [{Name: default, Plugins: [{PluginRef: lora-affinity-scorer, Weight: 4.00} {PluginRef: queue-scorer, Weight: 2.00} {PluginRef: prefix-cache-scorer, Weight: 3.00} {PluginRef: max-score-picker}]}]}"} [e2e-llm-inference-service] {"level":"info","ts":1783438464.1627095,"logger":"setup","caller":"runner/runner.go:622","msg":"Data layer: ENABLED"} [e2e-llm-inference-service] {"level":"info","ts":1783438464.163022,"logger":"setup","caller":"runner/runner.go:281","msg":"Raw config after phase one","config":{"apiVersion":"inference.networking.x-k8s.io/v1alpha1","dataLayer":null,"kind":"EndpointPickerConfig","plugins":[{"name":"single-profile-handler","parameters":null,"type":"single-profile-handler"},{"name":"queue-scorer","parameters":null,"type":"queue-scorer"},{"name":"prefix-cache-scorer","parameters":null,"type":"prefix-cache-scorer"},{"name":"max-score-picker","parameters":null,"type":"max-score-picker"},{"name":"lora-affinity-scorer","parameters":null,"type":"lora-affinity-scorer"}],"schedulingProfiles":[{"name":"default","plugins":[{"pluginRef":"lora-affinity-scorer","weight":4},{"pluginRef":"queue-scorer","weight":2},{"pluginRef":"prefix-cache-scorer","weight":3},{"pluginRef":"max-score-picker","weight":null}]}]}} [e2e-llm-inference-service] {"level":"info","ts":1783438464.184904,"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":1783438464.1850057,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"vllm","mapping":"Mapping{all specs enabled}"} [e2e-llm-inference-service] {"level":"info","ts":1783438464.1850407,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"sglang","mapping":"Mapping{disabled: [lora]}"} [e2e-llm-inference-service] {"level":"info","ts":1783438464.1850798,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"trtllm-serve","mapping":"Mapping{disabled: [lora, cacheInfo]}"} [e2e-llm-inference-service] {"level":"info","ts":1783438464.1851444,"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":1783438464.185166,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"triton","mapping":"Mapping{disabled: [kv, lora, cacheInfo]}"} [e2e-llm-inference-service] {"level":"info","ts":1783438464.185239,"caller":"loader/configloader.go:154","msg":"Instantiated all plugins and applied system defaults. Effective raw configuration","config":"{Plugins: [{Name: single-profile-handler, Type: single-profile-handler} {Name: queue-scorer, Type: queue-scorer} {Name: prefix-cache-scorer, Type: prefix-cache-scorer} {Name: max-score-picker, Type: max-score-picker} {Name: lora-affinity-scorer, Type: lora-affinity-scorer} {Name: fcfs-ordering-policy, Type: fcfs-ordering-policy} {Name: global-strict-fairness-policy, Type: global-strict-fairness-policy} {Name: static-usage-limit-policy, Type: static-usage-limit-policy} {Name: openai-parser, Type: openai-parser} {Name: anthropic-parser, Type: anthropic-parser} {Name: vllmhttp-parser, Type: vllmhttp-parser} {Name: utilization-detector, Type: utilization-detector} {Name: metrics-data-source, Type: metrics-data-source} {Name: core-metrics-extractor, Type: core-metrics-extractor}], SchedulingProfiles: [{Name: default, Plugins: [{PluginRef: lora-affinity-scorer, Weight: 4.00} {PluginRef: queue-scorer, Weight: 2.00} {PluginRef: prefix-cache-scorer, Weight: 3.00} {PluginRef: max-score-picker}]}], DataLayer: {Sources: [{PluginRef: metrics-data-source, Extractors: [{PluginRef: core-metrics-extractor}]}], Discovery: }, FlowControl: {MaxBytes: unlimited, MaxRequests: unlimited, SaturationDetector: {PluginRef: utilization-detector}}, RequestHandler: {Parsers: [{PluginRef: openai-parser}, {PluginRef: anthropic-parser}, {PluginRef: vllmhttp-parser}]}}"} [e2e-llm-inference-service] {"level":"info","ts":1783438464.1853006,"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":1783438464.1853817,"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":1783438464.185413,"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":1783438464.1854396,"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":1783438464.185544,"caller":"runner/runner.go:685","msg":"loaded configuration from file/text successfully"} [e2e-llm-inference-service] {"level":"info","ts":1783438464.1855557,"logger":"setup","caller":"runner/runner.go:308","msg":"EPP config after phase two","config":"{SchedulerConfig:{ProfileHandler: single-profile-handler/single-profile-handler, Profiles: map[default:{Filters: [], Scorers: [lora-affinity-scorer/lora-affinity-scorer: 4.000000, queue-scorer/queue-scorer: 2.000000, prefix-cache-scorer/prefix-cache-scorer: 3.000000], Picker: max-score-picker/max-score-picker}]} SaturationDetector:0xc0007c5780 DataConfig:{Sources:[{Plugin:0xc00032de60 Extractors:[0xc0007c5980]}]} FlowControlConfig: ParserRegistry:0xc00090a2c0}"} [e2e-llm-inference-service] {"level":"info","ts":1783438464.2038822,"logger":"setup","caller":"runner/runner.go:352","msg":"Setting pprof handlers"} [e2e-llm-inference-service] {"level":"info","ts":1783438464.2039285,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/goroutine"} [e2e-llm-inference-service] {"level":"info","ts":1783438464.203947,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/allocs"} [e2e-llm-inference-service] {"level":"info","ts":1783438464.203952,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/block"} [e2e-llm-inference-service] {"level":"info","ts":1783438464.2039568,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/profile"} [e2e-llm-inference-service] {"level":"info","ts":1783438464.2039616,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/symbol"} [e2e-llm-inference-service] {"level":"info","ts":1783438464.203966,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/threadcreate"} [e2e-llm-inference-service] {"level":"info","ts":1783438464.2039702,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/mutex"} [e2e-llm-inference-service] {"level":"info","ts":1783438464.2039747,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/"} [e2e-llm-inference-service] {"level":"info","ts":1783438464.20398,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/cmdline"} [e2e-llm-inference-service] {"level":"info","ts":1783438464.2039845,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/trace"} [e2e-llm-inference-service] {"level":"info","ts":1783438464.2039886,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/heap"} [e2e-llm-inference-service] {"level":"info","ts":1783438464.2040026,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/plugins/state"} [e2e-llm-inference-service] {"level":"info","ts":1783438464.2040074,"logger":"setup","caller":"runner/runner.go:373","msg":"parsed config","scheduler-config":"{ProfileHandler: single-profile-handler/single-profile-handler, Profiles: map[default:{Filters: [], Scorers: [lora-affinity-scorer/lora-affinity-scorer: 4.000000, queue-scorer/queue-scorer: 2.000000, prefix-cache-scorer/prefix-cache-scorer: 3.000000], Picker: max-score-picker/max-score-picker}]}"} [e2e-llm-inference-service] {"level":"info","ts":1783438464.204039,"logger":"setup","caller":"datalayer/runtime.go:99","msg":"Configuring datalayer runtime","numSources":1} [e2e-llm-inference-service] {"level":"info","ts":1783438464.2040489,"logger":"setup","caller":"datalayer/runtime.go:118","msg":"Processing source","source":"metrics-data-source","numExtractors":1} [e2e-llm-inference-service] {"level":"info","ts":1783438464.2040648,"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":1783438464.2040772,"logger":"setup","caller":"datalayer/runtime.go:206","msg":"Datalayer runtime configured","pollers":1,"notifiers":0,"endpointSources":0} [e2e-llm-inference-service] {"level":"info","ts":1783438464.2040877,"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":1783438464.2042103,"logger":"setup","caller":"runner/runner.go:721","msg":"ExtProc server runner added to manager."} [e2e-llm-inference-service] {"level":"info","ts":1783438464.204224,"logger":"setup","caller":"runner/runner.go:260","msg":"Controller manager starting"} [e2e-llm-inference-service] {"level":"info","ts":1783438464.204267,"logger":"controller-runtime.metrics","caller":"server/server.go:208","msg":"Starting metrics server"} [e2e-llm-inference-service] {"level":"info","ts":1783438464.204719,"logger":"controller-runtime.metrics","caller":"server/server.go:247","msg":"Serving metrics server","bindAddress":":9090","secure":false} [e2e-llm-inference-service] {"level":"info","ts":1783438464.2049274,"caller":"runnable/grpc.go:35","msg":"gRPC server starting","name":"health"} [e2e-llm-inference-service] {"level":"info","ts":1783438464.2050521,"caller":"runnable/grpc.go:43","msg":"gRPC server listening","name":"health","port":9003} [e2e-llm-inference-service] {"level":"info","ts":1783438464.205413,"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":1783438464.2057128,"caller":"controller/controller.go:370","msg":"Starting EventSource","controller":"inferencemodelrewrite","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceModelRewrite","source":"kind source: *v1alpha2.InferenceModelRewrite"} [e2e-llm-inference-service] {"level":"info","ts":1783438464.206226,"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":1783438464.2062378,"caller":"controller/controller.go:370","msg":"Starting EventSource","controller":"inferenceobjective","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceObjective","source":"kind source: *v1alpha2.InferenceObjective"} [e2e-llm-inference-service] {"level":"info","ts":1783438464.2072015,"caller":"runnable/grpc.go:35","msg":"gRPC server starting","name":"ext-proc"} [e2e-llm-inference-service] {"level":"info","ts":1783438464.2073605,"caller":"runnable/grpc.go:43","msg":"gRPC server listening","name":"ext-proc","port":9002} [e2e-llm-inference-service] {"level":"info","ts":1783438464.2142832,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1.InferencePool","reflector":"pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1783438464.214353,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1alpha2.InferenceObjective","reflector":"pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1783438464.214434,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1alpha2.InferenceModelRewrite","reflector":"pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1783438464.2161298,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1.Pod","reflector":"pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1783438464.3063781,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"inferencemodelrewrite","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceModelRewrite"} [e2e-llm-inference-service] {"level":"info","ts":1783438464.30644,"caller":"controller/controller.go:306","msg":"Starting workers","controller":"inferencemodelrewrite","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceModelRewrite","worker count":1} [e2e-llm-inference-service] {"level":"info","ts":1783438464.308342,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"inferenceobjective","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceObjective"} [e2e-llm-inference-service] {"level":"info","ts":1783438464.3083608,"caller":"controller/controller.go:306","msg":"Starting workers","controller":"inferenceobjective","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceObjective","worker count":1} [e2e-llm-inference-service] {"level":"info","ts":1783438464.4066355,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"inferencepool","controllerGroup":"inference.networking.k8s.io","controllerKind":"InferencePool"} [e2e-llm-inference-service] {"level":"info","ts":1783438464.406675,"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":1783438464.4068685,"caller":"controller/inferencepool_reconciler.go:46","msg":"Reconciling InferencePool","controller":"inferencepool","controllerGroup":"inference.networking.k8s.io","controllerKind":"InferencePool","InferencePool":{"name":"llmisvc-model-fb-opt-125m-with-ba4d693a-inference-pool","namespace":"kserve-ci-e2e-test"},"namespace":"kserve-ci-e2e-test","name":"llmisvc-model-fb-opt-125m-with-ba4d693a-inference-pool","reconcileID":"685c073c-f9df-443a-a421-055c227de296"} [e2e-llm-inference-service] {"level":"info","ts":1783438464.4072852,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"pod","controllerGroup":"","controllerKind":"Pod"} [e2e-llm-inference-service] {"level":"info","ts":1783438464.4073102,"caller":"controller/controller.go:306","msg":"Starting workers","controller":"pod","controllerGroup":"","controllerKind":"Pod","worker count":1} [e2e-llm-inference-service] {"level":"info","ts":1783438478.4194398,"caller":"controller/inferencepool_reconciler.go:46","msg":"Reconciling InferencePool","controller":"inferencepool","controllerGroup":"inference.networking.k8s.io","controllerKind":"InferencePool","InferencePool":{"name":"llmisvc-model-fb-opt-125m-with-ba4d693a-inference-pool","namespace":"kserve-ci-e2e-test"},"namespace":"kserve-ci-e2e-test","name":"llmisvc-model-fb-opt-125m-with-ba4d693a-inference-pool","reconcileID":"59ed8c52-e653-4e64-af25-3a647bd83bbc"} [e2e-llm-inference-service] {"level":"info","ts":1783438552.075772,"caller":"controller/pod_reconciler.go:99","msg":"Pod already exists","controller":"pod","controllerGroup":"","controllerKind":"Pod","Pod":{"name":"llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-d68d9bcc7-gghpz","namespace":"kserve-ci-e2e-test"},"namespace":"kserve-ci-e2e-test","name":"llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-d68d9bcc7-gghpz","reconcileID":"89cf1896-aa7b-422f-9d1d-76690483f316"} [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-service [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 47862a2c-4a58-483b-aac3-230205d07574 [e2e-llm-inference-service] resourceVersion: '46275' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:34:22Z' [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-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] endpoints.kubernetes.io/managed-by: endpoint-controller [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] endpoints.kubernetes.io/last-change-trigger-time: '2026-07-07T15:34:56Z' [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: '2026-07-07T15:34:56Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/last-change-trigger-time: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/managed-by: {} [e2e-llm-inference-service] f:subsets: {} [e2e-llm-inference-service] subsets: [e2e-llm-inference-service] - addresses: [e2e-llm-inference-service] - ip: 10.133.0.40 [e2e-llm-inference-service] nodeName: ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-router-sche4jhsb [e2e-llm-inference-service] uid: 7d1ff99c-4c38-4de4-aaa7-7aef3a757343 [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] port: 9090 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] port: 5557 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] port: 9002 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Endpoints [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: f6a2493e-8c31-4a13-9d03-e8bd35661030 [e2e-llm-inference-service] resourceVersion: '47115' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:34:21Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] endpoints.kubernetes.io/managed-by: endpoint-controller [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] endpoints.kubernetes.io/last-change-trigger-time: '2026-07-07T15:35:52Z' [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: '2026-07-07T15:35:52Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/last-change-trigger-time: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/managed-by: {} [e2e-llm-inference-service] f:subsets: {} [e2e-llm-inference-service] subsets: [e2e-llm-inference-service] - addresses: [e2e-llm-inference-service] - ip: 10.134.0.40 [e2e-llm-inference-service] nodeName: ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-d68d9bcc7-gghpz [e2e-llm-inference-service] uid: 0604315f-d2ca-4cf2-bbd4-1e91088ec018 [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: https [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] appProtocol: https [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Endpoints [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-d68d9bcc7-gghpz [e2e-llm-inference-service] generateName: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-d68d9bcc7- [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 0604315f-d2ca-4cf2-bbd4-1e91088ec018 [e2e-llm-inference-service] resourceVersion: '47112' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:34:21Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] pod-template-hash: d68d9bcc7 [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] k8s.ovn.org/pod-networks: '{"default":{"ip_addresses":["10.134.0.40/23"],"mac_address":"0a:58:0a:86:00:28","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":"10.134.0.40/23","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 \"10.134.0.40\"\n ],\n\ [e2e-llm-inference-service] \ \"mac\": \"0a:58:0a:86:00:28\",\n \"default\": true,\n \"dns\": {}\n\ [e2e-llm-inference-service] }]" [e2e-llm-inference-service] openshift.io/scc: restricted-v2 [e2e-llm-inference-service] seccomp.security.alpha.kubernetes.io/pod: runtime/default [e2e-llm-inference-service] security.openshift.io/validated-scc-subject-type: user [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: apps/v1 [e2e-llm-inference-service] kind: ReplicaSet [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-d68d9bcc7 [e2e-llm-inference-service] uid: 726ed80f-8e60-47e3-b0ad-c5a1da6b0abd [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: ip-10-0-138-195 [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-07T15:34:21Z' [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: '2026-07-07T15:34:21Z' [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":"726ed80f-8e60-47e3-b0ad-c5a1da6b0abd"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_CACHE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HOME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"TORCHINDUCTOR_CACHE_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"USER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_CPU_KVCACHE_SPACE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_ENABLE_V1_MULTIPROCESSING"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_LOGGING_LEVEL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:startupProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/dev/shm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] k:{"mountPath":"/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:enableServiceLinks: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"CA_BUNDLE_CONFIGMAP_NAME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"CA_BUNDLE_VOLUME_MOUNT_POINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/etc/ssl/custom-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"cabundle-cert"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:configMap: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"dshm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:medium: {} [e2e-llm-inference-service] f:sizeLimit: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"model-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tmp-dir"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: multus-daemon [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-07T15:34:22Z' [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.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: '2026-07-07T15:35:52Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] k:{"type":"ContainersReady"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Initialized"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"PodReadyToStartContainers"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"PodScheduled"}: [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] k:{"type":"Ready"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:containerStatuses: {} [e2e-llm-inference-service] f:hostIP: {} [e2e-llm-inference-service] f:hostIPs: {} [e2e-llm-inference-service] f:initContainerStatuses: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:phase: {} [e2e-llm-inference-service] f:podIP: {} [e2e-llm-inference-service] f:podIPs: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"ip":"10.134.0.40"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:ip: {} [e2e-llm-inference-service] f:startTime: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] emptyDir: [e2e-llm-inference-service] medium: Memory [e2e-llm-inference-service] sizeLimit: 1Gi [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: llmisv77ff2528d3e9b4972cd9335229fce9f0-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: cabundle-cert [e2e-llm-inference-service] configMap: [e2e-llm-inference-service] name: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: kube-api-access-zr67v [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@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] - hf://edbeeching/opt-125m-lora [e2e-llm-inference-service] - /mnt/lora/lora-adapter-1 [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] - name: CA_BUNDLE_CONFIGMAP_NAME [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: CA_BUNDLE_VOLUME_MOUNT_POINT [e2e-llm-inference-service] value: /etc/ssl/custom-certs [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt [e2e-llm-inference-service] - name: cabundle-cert [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /etc/ssl/custom-certs [e2e-llm-inference-service] - name: kube-api-access-zr67v [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: 1000700000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/bash [e2e-llm-inference-service] - -c [e2e-llm-inference-service] - "if [ -f /etc/profile.d/ibm-aiu-setup.sh ]; then\n source /etc/profile.d/ibm-aiu-setup.sh\n\ [e2e-llm-inference-service] fi\n\nif [ \"$KSERVE_INFER_ROCE\" = \"true\" ]; then\n echo \"Trying to infer\ [e2e-llm-inference-service] \ RoCE configs ... \"\n grep -H . /sys/class/infiniband/*/ports/*/gids/* 2>/dev/null\n\ [e2e-llm-inference-service] \ grep -H . /sys/class/infiniband/*/ports/*/gid_attrs/types/* 2>/dev/null\n\ [e2e-llm-inference-service] \n cat /proc/driver/nvidia/params\n\n KSERVE_INFER_IB_GID_INDEX_GREP=${KSERVE_INFER_IB_GID_INDEX_GREP:-\"\ [e2e-llm-inference-service] RoCE v2\"}\n\n echo \"[Infer RoCE] Discovering active HCAs ...\"\n active_hcas=()\n\ [e2e-llm-inference-service] \ # Loop through all mlx5 devices found in sysfs\n for hca_dir in /sys/class/infiniband/mlx5_*;\ [e2e-llm-inference-service] \ do\n # Ensure it's a directory before proceeding\n if [ -d \"$hca_dir\"\ [e2e-llm-inference-service] \ ]; then\n hca_name=$(basename \"$hca_dir\")\n port_state_file=\"\ [e2e-llm-inference-service] $hca_dir/ports/1/state\" # Assume port 1\n type_file=\"$hca_dir/ports/1/gid_attrs/types/*\"\ [e2e-llm-inference-service] \n\n echo \"[Infer RoCE] Check if the port state file ${port_state_file}\ [e2e-llm-inference-service] \ exists and contains 'ACTIVE'\"\n if [ -f \"$port_state_file\" ] &&\ [e2e-llm-inference-service] \ grep -q \"ACTIVE\" \"$port_state_file\" && grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\"\ [e2e-llm-inference-service] \ ${type_file} 2>/dev/null; then\n echo \"[Infer RoCE] Found active\ [e2e-llm-inference-service] \ HCA: $hca_name\"\n active_hcas+=(\"$hca_name\")\n else\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Skipping inactive or down HCA: $hca_name\"\ [e2e-llm-inference-service] \n fi\n fi\n done\n\n # Check if we found any active HCAs\n\ [e2e-llm-inference-service] \ if [ ${#active_hcas[@]} -gt 0 ]; then\n # Join the array elements with\ [e2e-llm-inference-service] \ a comma\n hca_port_pairs=()\n for hca in \"${active_hcas[@]}\";\ [e2e-llm-inference-service] \ do\n hca_port_pairs+=(\"${hca}:1\")\n done\n\n active_hca_list=$(IFS=,;\ [e2e-llm-inference-service] \ echo \"${active_hcas[*]}\")\n hca_port_pairs_list=$(IFS=,; echo \"${hca_port_pairs[*]}\"\ [e2e-llm-inference-service] )\n echo \"[Infer RoCE] Setting active HCAs: ${active_hca_list}\"\n \ [e2e-llm-inference-service] \ export NCCL_IB_HCA=${NCCL_IB_HCA:-${active_hca_list}}\n export NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST:-${hca_port_pairs_list}}\n\ [e2e-llm-inference-service] \ export UCX_NET_DEVICES=${UCX_NET_DEVICES:-${hca_port_pairs_list}}\n\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] NCCL_IB_HCA=${NCCL_IB_HCA}\"\n echo \"[Infer\ [e2e-llm-inference-service] \ RoCE] NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST}\"\n echo \"[Infer RoCE] UCX_NET_DEVICES=${UCX_NET_DEVICES}\"\ [e2e-llm-inference-service] \n else\n echo \"[Infer RoCE] WARNING: No active RoCE HCAs found. NCCL_IB_HCA\ [e2e-llm-inference-service] \ will not be set.\"\n fi\n\n if [ ${#active_hcas[@]} -gt 0 ]; then\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Finding GID_INDEX for each active HCA (SR-IOV compatible)...\"\ [e2e-llm-inference-service] \n\n # For SR-IOV environments, find the most common IPv4 RoCE v2 GID index\ [e2e-llm-inference-service] \ across all HCAs\n declare -A gid_index_count\n declare -A hca_gid_index\n\ [e2e-llm-inference-service] \n for hca_name in \"${active_hcas[@]}\"; do\n echo \"[Infer RoCE]\ [e2e-llm-inference-service] \ Processing HCA: ${hca_name}\"\n\n # Find all RoCE v2 IPv4 GIDs for\ [e2e-llm-inference-service] \ this HCA and count by index\n for tpath in /sys/class/infiniband/${hca_name}/ports/1/gid_attrs/types/*;\ [e2e-llm-inference-service] \ do\n if grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\" \"$tpath\"\ [e2e-llm-inference-service] \ 2>/dev/null; then\n idx=$(basename \"$tpath\")\n \ [e2e-llm-inference-service] \ gid_file=\"/sys/class/infiniband/${hca_name}/ports/1/gids/${idx}\"\ [e2e-llm-inference-service] \n # Check for IPv4 GID (contains ffff:)\n \ [e2e-llm-inference-service] \ if [ -f \"$gid_file\" ] && grep -q \"ffff:\" \"$gid_file\"; then\n \ [e2e-llm-inference-service] \ gid_value=$(cat \"$gid_file\" 2>/dev/null || echo \"\")\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Found IPv4 RoCE v2 GID for ${hca_name}:\ [e2e-llm-inference-service] \ index=${idx}, gid=${gid_value}\"\n hca_gid_index[\"${hca_name}\"\ [e2e-llm-inference-service] ]=\"${idx}\"\n gid_index_count[\"${idx}\"]=$((${gid_index_count[\"\ [e2e-llm-inference-service] ${idx}\"]} + 1))\n break # Use first found IPv4 GID per\ [e2e-llm-inference-service] \ HCA\n fi\n fi\n done\n done\n\n\ [e2e-llm-inference-service] \ # Find the most common GID index (most likely to be consistent across\ [e2e-llm-inference-service] \ nodes)\n best_gid_index=\"\"\n max_count=0\n for idx in \"\ [e2e-llm-inference-service] ${!gid_index_count[@]}\"; do\n count=${gid_index_count[\"${idx}\"]}\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] GID_INDEX ${idx} found on ${count} HCAs\"\n \ [e2e-llm-inference-service] \ if [ $count -gt $max_count ]; then\n max_count=$count\n\ [e2e-llm-inference-service] \ best_gid_index=\"$idx\"\n fi\n done\n\n #\ [e2e-llm-inference-service] \ Use deterministic fallback if tied - prefer index 3 (SR-IOV standard)\n \ [e2e-llm-inference-service] \ if [ ${#gid_index_count[@]} -gt 1 ]; then\n echo \"[Infer RoCE]\ [e2e-llm-inference-service] \ Multiple GID indices found, selecting most common: ${best_gid_index}\"\n \ [e2e-llm-inference-service] \ # If there's a tie, prefer index 3 as it's most common in SR-IOV setups\n\ [e2e-llm-inference-service] \ if [ -n \"${gid_index_count['3']}\" ] && [ \"${gid_index_count['3']}\"\ [e2e-llm-inference-service] \ -eq \"$max_count\" ]; then\n best_gid_index=\"3\"\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using deterministic fallback: GID_INDEX=3 (SR-IOV\ [e2e-llm-inference-service] \ standard)\"\n fi\n fi\n\n # Check if GID_INDEX is already\ [e2e-llm-inference-service] \ set via environment variables\n if [ -n \"${NCCL_IB_GID_INDEX}\" ]; then\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using pre-configured NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ from environment\"\n export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using pre-configured GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ for NCCL, NVSHMEM, and UCX\"\n elif [ -n \"$best_gid_index\" ]; then\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Selected GID_INDEX: ${best_gid_index} (found\ [e2e-llm-inference-service] \ on ${max_count} HCAs)\"\n\n export NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$best_gid_index}\n\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Exported GID_INDEX=${best_gid_index} for NCCL,\ [e2e-llm-inference-service] \ NVSHMEM, and UCX\"\n else\n echo \"[Infer RoCE] ERROR: No valid\ [e2e-llm-inference-service] \ IPv4 ${KSERVE_INFER_IB_GID_INDEX_GREP} GID_INDEX found on any HCA.\"\n \ [e2e-llm-inference-service] \ fi\n else\n echo \"[Infer RoCE] No active HCAs found, skipping GID_INDEX\ [e2e-llm-inference-service] \ inference.\"\n fi\nfi\n\n# --disable-access-log-for-endpoints landed in vLLM\ [e2e-llm-inference-service] \ 0.16.0 (vllm-project/vllm#30011).\n# Older versions still need the blanket\ [e2e-llm-inference-service] \ --disable-uvicorn-access-log.\nACCESS_LOG_ARGS=\"--disable-uvicorn-access-log\"\ [e2e-llm-inference-service] \nVLLM_VERSION=$(vllm --version 2>/dev/null | tail -1 | awk '{print $NF}')\n\ [e2e-llm-inference-service] echo \"[access-log-detect] vllm version='${VLLM_VERSION}'\"\nif [[ \"$VLLM_VERSION\"\ [e2e-llm-inference-service] \ =~ ^[0-9]+\\.[0-9]+ ]] && [ \"$(printf '%s\\n%s\\n' \"0.16.0\" \"${VLLM_VERSION}\"\ [e2e-llm-inference-service] \ | sort -V | head -1)\" = \"0.16.0\" ]; then\n ACCESS_LOG_ARGS=\"--disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ /health,/metrics,/ping\"\nfi\necho \"[access-log-detect] selected ACCESS_LOG_ARGS='${ACCESS_LOG_ARGS}'\"\ [e2e-llm-inference-service] \n\n# --shutdown-timeout landed in vLLM 0.18.0 (vllm-project/vllm#36666).\n\ [e2e-llm-inference-service] SHUTDOWN_TIMEOUT_ARGS=\"\"\nif [[ \"$VLLM_VERSION\" =~ ^[0-9]+\\.[0-9]+ ]] &&\ [e2e-llm-inference-service] \ [ \"$(printf '%s\\n%s\\n' \"0.18.0\" \"${VLLM_VERSION}\" | sort -V | head\ [e2e-llm-inference-service] \ -1)\" = \"0.18.0\" ]; then\n SHUTDOWN_TIMEOUT_ARGS=\"--shutdown-timeout 40\"\ [e2e-llm-inference-service] \nfi\n\neval \"exec vllm serve /mnt/models \\\n --served-model-name \"facebook/opt-125m\"\ [e2e-llm-inference-service] \ \"publishers/kserve-ci-e2e-test/models/facebook/opt-125m\" \\\n --port 8000\ [e2e-llm-inference-service] \ \\\n ${ACCESS_LOG_ARGS} \\\n ${SHUTDOWN_TIMEOUT_ARGS} \\\n --enable-ssl-refresh\ [e2e-llm-inference-service] \ \\\n --ssl-certfile /var/run/kserve/tls/tls.crt \\\n --ssl-keyfile /var/run/kserve/tls/tls.key\ [e2e-llm-inference-service] \ \\\n ${VLLM_ADDITIONAL_ARGS} \\\n $@\"" [e2e-llm-inference-service] - -- [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --enable-lora [e2e-llm-inference-service] - --lora-modules [e2e-llm-inference-service] - '''{"name":"lora-adapter-1","path":"/mnt/lora/lora-adapter-1"}''' [e2e-llm-inference-service] - '''{"name":"publishers/kserve-ci-e2e-test/models/lora-adapter-1","path":"/mnt/lora/lora-adapter-1"}''' [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: HOME [e2e-llm-inference-service] value: /home [e2e-llm-inference-service] - name: VLLM_LOGGING_LEVEL [e2e-llm-inference-service] value: DEBUG [e2e-llm-inference-service] - name: VLLM_CPU_KVCACHE_SPACE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: VLLM_ENABLE_V1_MULTIPROCESSING [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: USER [e2e-llm-inference-service] value: nonroot [e2e-llm-inference-service] - name: TORCHINDUCTOR_CACHE_DIR [e2e-llm-inference-service] value: /tmp/torchinductor-cache [e2e-llm-inference-service] - name: HF_HUB_CACHE [e2e-llm-inference-service] value: /models [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '2' [e2e-llm-inference-service] memory: 7Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /mnt [e2e-llm-inference-service] - name: kube-api-access-zr67v [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: 1000700000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] serviceAccountName: default [e2e-llm-inference-service] serviceAccount: default [e2e-llm-inference-service] nodeName: ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] seLinuxOptions: [e2e-llm-inference-service] level: s0:c26,c25 [e2e-llm-inference-service] fsGroup: 1000700000 [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-thd6c [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: '2026-07-07T15:34:22Z' [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: '2026-07-07T15:34:27Z' [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: '2026-07-07T15:35:52Z' [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: '2026-07-07T15:35:52Z' [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: '2026-07-07T15:34:21Z' [e2e-llm-inference-service] hostIP: 10.0.138.195 [e2e-llm-inference-service] hostIPs: [e2e-llm-inference-service] - ip: 10.0.138.195 [e2e-llm-inference-service] podIP: 10.134.0.40 [e2e-llm-inference-service] podIPs: [e2e-llm-inference-service] - ip: 10.134.0.40 [e2e-llm-inference-service] startTime: '2026-07-07T15:34:21Z' [e2e-llm-inference-service] initContainerStatuses: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] state: [e2e-llm-inference-service] terminated: [e2e-llm-inference-service] exitCode: 0 [e2e-llm-inference-service] reason: Completed [e2e-llm-inference-service] startedAt: '2026-07-07T15:34:22Z' [e2e-llm-inference-service] finishedAt: '2026-07-07T15:34:26Z' [e2e-llm-inference-service] containerID: cri-o://c425c21ef2bf02b215f06019e47fb3620ac94e7cdfc36702332da7b18a995c08 [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [e2e-llm-inference-service] imageID: quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [e2e-llm-inference-service] containerID: cri-o://c425c21ef2bf02b215f06019e47fb3620ac94e7cdfc36702332da7b18a995c08 [e2e-llm-inference-service] started: false [e2e-llm-inference-service] allocatedResources: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt [e2e-llm-inference-service] - name: cabundle-cert [e2e-llm-inference-service] mountPath: /etc/ssl/custom-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] - name: kube-api-access-zr67v [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: 1000700000 [e2e-llm-inference-service] gid: 0 [e2e-llm-inference-service] supplementalGroups: [e2e-llm-inference-service] - 0 [e2e-llm-inference-service] - 1000700000 [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: '2026-07-07T15:34:27Z' [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] imageID: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo@sha256:afb39fca138b51d019d986229d546531b45a2a3deb73bcf59bd42406e13fbba0 [e2e-llm-inference-service] containerID: cri-o://af6a4d1c874fb9ee6978484c2059f8164d9358800792923408e59477f3ba7ae4 [e2e-llm-inference-service] started: true [e2e-llm-inference-service] allocatedResources: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '2' [e2e-llm-inference-service] memory: 7Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] - name: kube-api-access-zr67v [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: 1000700000 [e2e-llm-inference-service] gid: 0 [e2e-llm-inference-service] supplementalGroups: [e2e-llm-inference-service] - 0 [e2e-llm-inference-service] - 1000700000 [e2e-llm-inference-service] qosClass: Burstable [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-router-sche4jhsb [e2e-llm-inference-service] generateName: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-router-scheduler-6f5c957798- [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 7d1ff99c-4c38-4de4-aaa7-7aef3a757343 [e2e-llm-inference-service] resourceVersion: '46273' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:34:22Z' [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-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 6f5c957798 [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] app.kubernetes.io/version: 0.9.0 [e2e-llm-inference-service] certificates.kserve.io/expiration-v2: 'true' [e2e-llm-inference-service] k8s.ovn.org/pod-networks: '{"default":{"ip_addresses":["10.133.0.40/23"],"mac_address":"0a:58:0a:85:00:28","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":"10.133.0.40/23","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 \"10.133.0.40\"\n ],\n\ [e2e-llm-inference-service] \ \"mac\": \"0a:58:0a:85:00:28\",\n \"default\": true,\n \"dns\": {}\n\ [e2e-llm-inference-service] }]" [e2e-llm-inference-service] openshift.io/scc: restricted-v2 [e2e-llm-inference-service] seccomp.security.alpha.kubernetes.io/pod: runtime/default [e2e-llm-inference-service] security.openshift.io/validated-scc-subject-type: user [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: apps/v1 [e2e-llm-inference-service] kind: ReplicaSet [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-router-scheduler-6f5c957798 [e2e-llm-inference-service] uid: 14d03b6e-d9c0-495a-85f4-38f8fb3d05fc [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: ip-10-0-129-71 [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-07T15:34:22Z' [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: '2026-07-07T15:34:22Z' [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":"14d03b6e-d9c0-495a-85f4-38f8fb3d05fc"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"SSL_CERT_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":5557,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9002,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9003,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9090,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp/tokenizer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:enableServiceLinks: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"STORAGE_ALLOW_PATTERNS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:serviceAccount: {} [e2e-llm-inference-service] f:serviceAccountName: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tokenizer-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-uds"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: multus-daemon [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-07T15:34:22Z' [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.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: '2026-07-07T15:34:56Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] k:{"type":"ContainersReady"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Initialized"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"PodReadyToStartContainers"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"PodScheduled"}: [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] k:{"type":"Ready"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:containerStatuses: {} [e2e-llm-inference-service] f:hostIP: {} [e2e-llm-inference-service] f:hostIPs: {} [e2e-llm-inference-service] f:initContainerStatuses: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:phase: {} [e2e-llm-inference-service] f:podIP: {} [e2e-llm-inference-service] f:podIPs: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"ip":"10.133.0.40"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:ip: {} [e2e-llm-inference-service] f:startTime: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: llmisv77ff2528d3e9b4972cd9335229fce9f0-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-tmp [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: kube-api-access-fznd2 [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@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] - name: STORAGE_ALLOW_PATTERNS [e2e-llm-inference-service] value: '["tokenizer.json", "tokenizer_config.json", "special_tokens_map.json", [e2e-llm-inference-service] "vocab.json", "merges.txt", "config.json", "generation_config.json"]' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-fznd2 [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: 1000700000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/epp [e2e-llm-inference-service] - --pool-name [e2e-llm-inference-service] - llmisvc-model-fb-opt-125m-with-ba4d693a-inference-pool [e2e-llm-inference-service] - --pool-namespace [e2e-llm-inference-service] - kserve-ci-e2e-test [e2e-llm-inference-service] - --zap-encoder [e2e-llm-inference-service] - json [e2e-llm-inference-service] - --grpc-port [e2e-llm-inference-service] - '9002' [e2e-llm-inference-service] - --grpc-health-port [e2e-llm-inference-service] - '9003' [e2e-llm-inference-service] - --enable-cert-reload=true [e2e-llm-inference-service] - --secure-serving=true [e2e-llm-inference-service] - --model-server-metrics-scheme=https [e2e-llm-inference-service] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --config-text [e2e-llm-inference-service] - "apiVersion: inference.networking.x-k8s.io/v1alpha1\nkind: EndpointPickerConfig\n\ [e2e-llm-inference-service] plugins:\n- type: single-profile-handler\n- type: queue-scorer\n- type: prefix-cache-scorer\n\ [e2e-llm-inference-service] - type: max-score-picker\n- type: lora-affinity-scorer\nschedulingProfiles:\n\ [e2e-llm-inference-service] - name: default\n plugins:\n - pluginRef: lora-affinity-scorer\n weight:\ [e2e-llm-inference-service] \ 4\n - pluginRef: queue-scorer\n weight: 2\n - pluginRef: prefix-cache-scorer\n\ [e2e-llm-inference-service] \ weight: 3\n - pluginRef: max-score-picker\n" [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] containerPort: 9002 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] containerPort: 9003 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] containerPort: 9090 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] containerPort: 5557 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: SSL_CERT_DIR [e2e-llm-inference-service] value: /var/run/kserve/tls:/var/run/secrets/kubernetes.io/serviceaccount:/etc/pki/tls/certs [e2e-llm-inference-service] resources: [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] mountPath: /tmp/tokenizer [e2e-llm-inference-service] - name: kube-api-access-fznd2 [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: 1000700000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] serviceAccountName: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-sa [e2e-llm-inference-service] serviceAccount: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-sa [e2e-llm-inference-service] nodeName: ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] seLinuxOptions: [e2e-llm-inference-service] level: s0:c26,c25 [e2e-llm-inference-service] fsGroup: 1000700000 [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-thd6c [e2e-llm-inference-service] - name: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-sa-dockercfg-4rv68 [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: '2026-07-07T15:34:23Z' [e2e-llm-inference-service] - type: Initialized [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastProbeTime: null [e2e-llm-inference-service] lastTransitionTime: '2026-07-07T15:34:24Z' [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: '2026-07-07T15:34:56Z' [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: '2026-07-07T15:34:56Z' [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: '2026-07-07T15:34:22Z' [e2e-llm-inference-service] hostIP: 10.0.129.71 [e2e-llm-inference-service] hostIPs: [e2e-llm-inference-service] - ip: 10.0.129.71 [e2e-llm-inference-service] podIP: 10.133.0.40 [e2e-llm-inference-service] podIPs: [e2e-llm-inference-service] - ip: 10.133.0.40 [e2e-llm-inference-service] startTime: '2026-07-07T15:34:22Z' [e2e-llm-inference-service] initContainerStatuses: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] state: [e2e-llm-inference-service] terminated: [e2e-llm-inference-service] exitCode: 0 [e2e-llm-inference-service] reason: Completed [e2e-llm-inference-service] startedAt: '2026-07-07T15:34:22Z' [e2e-llm-inference-service] finishedAt: '2026-07-07T15:34:23Z' [e2e-llm-inference-service] containerID: cri-o://af07020e4c921552eb693b5a9e28720714aad38211bb2296ad89c0e82517f542 [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [e2e-llm-inference-service] imageID: quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [e2e-llm-inference-service] containerID: cri-o://af07020e4c921552eb693b5a9e28720714aad38211bb2296ad89c0e82517f542 [e2e-llm-inference-service] started: false [e2e-llm-inference-service] allocatedResources: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-fznd2 [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: 1000700000 [e2e-llm-inference-service] gid: 0 [e2e-llm-inference-service] supplementalGroups: [e2e-llm-inference-service] - 0 [e2e-llm-inference-service] - 1000700000 [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: '2026-07-07T15:34:24Z' [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2 [e2e-llm-inference-service] imageID: ghcr.io/llm-d/llm-d-router-endpoint-picker@sha256:06b6c75d77afd0e07053402752a9736c2dfbc12a306d0d37d963aac4c1d4e6a6 [e2e-llm-inference-service] containerID: cri-o://4d1c152b26ea0bf29155891098942e7815e95090c4bd3495cb4a5afab9da3e95 [e2e-llm-inference-service] started: true [e2e-llm-inference-service] allocatedResources: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] resources: [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] mountPath: /tmp/tokenizer [e2e-llm-inference-service] - name: kube-api-access-fznd2 [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: 1000700000 [e2e-llm-inference-service] gid: 0 [e2e-llm-inference-service] supplementalGroups: [e2e-llm-inference-service] - 0 [e2e-llm-inference-service] - 1000700000 [e2e-llm-inference-service] qosClass: Burstable [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-sa [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: e01e39cc-e141-4878-bf69-b2bee70f45c8 [e2e-llm-inference-service] resourceVersion: '45599' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:34:21Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] openshift.io/internal-registry-pull-secret-ref: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-sa-dockercfg-4rv68 [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] uid: 278bdfad-82e5-41ea-b741-03303565a8e9 [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: '2026-07-07T15:34:21Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:imagePullSecrets: {} [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] f:openshift.io/internal-registry-pull-secret-ref: {} [e2e-llm-inference-service] f:secrets: [e2e-llm-inference-service] k:{"name":"llmisvc-model-fb-opt-125m-with-ba4d693a-epp-sa-dockercfg-4rv68"}: {} [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-07T15:34:21Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [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":"278bdfad-82e5-41ea-b741-03303565a8e9"}: {} [e2e-llm-inference-service] f:secrets: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"default-dockercfg-thd6c"}: {} [e2e-llm-inference-service] k:{"name":"seaweedfs-s3-creds"}: {} [e2e-llm-inference-service] secrets: [e2e-llm-inference-service] - name: default-dockercfg-thd6c [e2e-llm-inference-service] - name: seaweedfs-s3-creds [e2e-llm-inference-service] - name: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-sa-dockercfg-4rv68 [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-thd6c [e2e-llm-inference-service] - name: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-sa-dockercfg-4rv68 [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: ServiceAccount [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-service [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 5122683c-45e7-446b-b127-fa1cb9d0ffa8 [e2e-llm-inference-service] resourceVersion: '45625' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:34:22Z' [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-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] uid: 278bdfad-82e5-41ea-b741-03303565a8e9 [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: '2026-07-07T15:34:22Z' [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":"278bdfad-82e5-41ea-b741-03303565a8e9"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:internalTrafficPolicy: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"port":5557,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:targetPort: {} [e2e-llm-inference-service] k:{"port":9002,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:targetPort: {} [e2e-llm-inference-service] k:{"port":9003,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:targetPort: {} [e2e-llm-inference-service] k:{"port":9090,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:targetPort: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:sessionAffinity: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] spec: [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9002 [e2e-llm-inference-service] targetPort: grpc [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] targetPort: grpc-health [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9090 [e2e-llm-inference-service] targetPort: metrics [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 5557 [e2e-llm-inference-service] targetPort: zmq [e2e-llm-inference-service] selector: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] clusterIP: 172.31.167.13 [e2e-llm-inference-service] clusterIPs: [e2e-llm-inference-service] - 172.31.167.13 [e2e-llm-inference-service] type: ClusterIP [e2e-llm-inference-service] sessionAffinity: None [e2e-llm-inference-service] ipFamilies: [e2e-llm-inference-service] - IPv4 [e2e-llm-inference-service] ipFamilyPolicy: SingleStack [e2e-llm-inference-service] internalTrafficPolicy: Cluster [e2e-llm-inference-service] status: [e2e-llm-inference-service] loadBalancer: {} [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: e4f625f3-7e18-42bd-9885-9c75f939d7cf [e2e-llm-inference-service] resourceVersion: '45576' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:34:21Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] uid: 278bdfad-82e5-41ea-b741-03303565a8e9 [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: '2026-07-07T15:34:21Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [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":"278bdfad-82e5-41ea-b741-03303565a8e9"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:internalTrafficPolicy: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"port":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:appProtocol: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:targetPort: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:sessionAffinity: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] spec: [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: https [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] appProtocol: https [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] targetPort: 8000 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] clusterIP: 172.31.5.134 [e2e-llm-inference-service] clusterIPs: [e2e-llm-inference-service] - 172.31.5.134 [e2e-llm-inference-service] type: ClusterIP [e2e-llm-inference-service] sessionAffinity: None [e2e-llm-inference-service] ipFamilies: [e2e-llm-inference-service] - IPv4 [e2e-llm-inference-service] ipFamilyPolicy: SingleStack [e2e-llm-inference-service] internalTrafficPolicy: Cluster [e2e-llm-inference-service] status: [e2e-llm-inference-service] loadBalancer: {} [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 2e1d9e6c-851f-4690-8bd4-329f4f800f6c [e2e-llm-inference-service] resourceVersion: '47118' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:34:21Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] deployment.kubernetes.io/revision: '1' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] uid: 278bdfad-82e5-41ea-b741-03303565a8e9 [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: '2026-07-07T15:34:21Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [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":"278bdfad-82e5-41ea-b741-03303565a8e9"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:progressDeadlineSeconds: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:revisionHistoryLimit: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:strategy: [e2e-llm-inference-service] f:rollingUpdate: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:maxSurge: {} [e2e-llm-inference-service] f:maxUnavailable: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:template: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:llm-d.ai/role: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_CACHE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HOME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"TORCHINDUCTOR_CACHE_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"USER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_CPU_KVCACHE_SPACE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_ENABLE_V1_MULTIPROCESSING"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_LOGGING_LEVEL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:startupProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/dev/shm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] k:{"mountPath":"/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"CA_BUNDLE_CONFIGMAP_NAME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"CA_BUNDLE_VOLUME_MOUNT_POINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/etc/ssl/custom-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"cabundle-cert"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:configMap: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"dshm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:medium: {} [e2e-llm-inference-service] f:sizeLimit: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"model-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tmp-dir"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-07T15:35:52Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/revision: {} [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:availableReplicas: {} [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"type":"Available"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:lastUpdateTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Progressing"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:lastUpdateTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:readyReplicas: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:updatedReplicas: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] template: [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] emptyDir: [e2e-llm-inference-service] medium: Memory [e2e-llm-inference-service] sizeLimit: 1Gi [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: llmisv77ff2528d3e9b4972cd9335229fce9f0-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: cabundle-cert [e2e-llm-inference-service] configMap: [e2e-llm-inference-service] name: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] - hf://edbeeching/opt-125m-lora [e2e-llm-inference-service] - /mnt/lora/lora-adapter-1 [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] - name: CA_BUNDLE_CONFIGMAP_NAME [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: CA_BUNDLE_VOLUME_MOUNT_POINT [e2e-llm-inference-service] value: /etc/ssl/custom-certs [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt [e2e-llm-inference-service] - name: cabundle-cert [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /etc/ssl/custom-certs [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/bash [e2e-llm-inference-service] - -c [e2e-llm-inference-service] - "if [ -f /etc/profile.d/ibm-aiu-setup.sh ]; then\n source /etc/profile.d/ibm-aiu-setup.sh\n\ [e2e-llm-inference-service] fi\n\nif [ \"$KSERVE_INFER_ROCE\" = \"true\" ]; then\n echo \"Trying to\ [e2e-llm-inference-service] \ infer RoCE configs ... \"\n grep -H . /sys/class/infiniband/*/ports/*/gids/*\ [e2e-llm-inference-service] \ 2>/dev/null\n grep -H . /sys/class/infiniband/*/ports/*/gid_attrs/types/*\ [e2e-llm-inference-service] \ 2>/dev/null\n\n cat /proc/driver/nvidia/params\n\n KSERVE_INFER_IB_GID_INDEX_GREP=${KSERVE_INFER_IB_GID_INDEX_GREP:-\"\ [e2e-llm-inference-service] RoCE v2\"}\n\n echo \"[Infer RoCE] Discovering active HCAs ...\"\n active_hcas=()\n\ [e2e-llm-inference-service] \ # Loop through all mlx5 devices found in sysfs\n for hca_dir in /sys/class/infiniband/mlx5_*;\ [e2e-llm-inference-service] \ do\n # Ensure it's a directory before proceeding\n if [ -d \"\ [e2e-llm-inference-service] $hca_dir\" ]; then\n hca_name=$(basename \"$hca_dir\")\n \ [e2e-llm-inference-service] \ port_state_file=\"$hca_dir/ports/1/state\" # Assume port 1\n \ [e2e-llm-inference-service] \ type_file=\"$hca_dir/ports/1/gid_attrs/types/*\"\n\n echo\ [e2e-llm-inference-service] \ \"[Infer RoCE] Check if the port state file ${port_state_file} exists\ [e2e-llm-inference-service] \ and contains 'ACTIVE'\"\n if [ -f \"$port_state_file\" ] && grep\ [e2e-llm-inference-service] \ -q \"ACTIVE\" \"$port_state_file\" && grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\"\ [e2e-llm-inference-service] \ ${type_file} 2>/dev/null; then\n echo \"[Infer RoCE] Found\ [e2e-llm-inference-service] \ active HCA: $hca_name\"\n active_hcas+=(\"$hca_name\")\n\ [e2e-llm-inference-service] \ else\n echo \"[Infer RoCE] Skipping inactive or\ [e2e-llm-inference-service] \ down HCA: $hca_name\"\n fi\n fi\n done\n\n # Check if\ [e2e-llm-inference-service] \ we found any active HCAs\n if [ ${#active_hcas[@]} -gt 0 ]; then\n \ [e2e-llm-inference-service] \ # Join the array elements with a comma\n hca_port_pairs=()\n \ [e2e-llm-inference-service] \ for hca in \"${active_hcas[@]}\"; do\n hca_port_pairs+=(\"\ [e2e-llm-inference-service] ${hca}:1\")\n done\n\n active_hca_list=$(IFS=,; echo \"${active_hcas[*]}\"\ [e2e-llm-inference-service] )\n hca_port_pairs_list=$(IFS=,; echo \"${hca_port_pairs[*]}\")\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Setting active HCAs: ${active_hca_list}\"\n \ [e2e-llm-inference-service] \ export NCCL_IB_HCA=${NCCL_IB_HCA:-${active_hca_list}}\n export\ [e2e-llm-inference-service] \ NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST:-${hca_port_pairs_list}}\n export\ [e2e-llm-inference-service] \ UCX_NET_DEVICES=${UCX_NET_DEVICES:-${hca_port_pairs_list}}\n\n echo\ [e2e-llm-inference-service] \ \"[Infer RoCE] NCCL_IB_HCA=${NCCL_IB_HCA}\"\n echo \"[Infer RoCE]\ [e2e-llm-inference-service] \ NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST}\"\n echo \"[Infer RoCE] UCX_NET_DEVICES=${UCX_NET_DEVICES}\"\ [e2e-llm-inference-service] \n else\n echo \"[Infer RoCE] WARNING: No active RoCE HCAs found.\ [e2e-llm-inference-service] \ NCCL_IB_HCA will not be set.\"\n fi\n\n if [ ${#active_hcas[@]} -gt\ [e2e-llm-inference-service] \ 0 ]; then\n echo \"[Infer RoCE] Finding GID_INDEX for each active\ [e2e-llm-inference-service] \ HCA (SR-IOV compatible)...\"\n\n # For SR-IOV environments, find\ [e2e-llm-inference-service] \ the most common IPv4 RoCE v2 GID index across all HCAs\n declare\ [e2e-llm-inference-service] \ -A gid_index_count\n declare -A hca_gid_index\n\n for hca_name\ [e2e-llm-inference-service] \ in \"${active_hcas[@]}\"; do\n echo \"[Infer RoCE] Processing\ [e2e-llm-inference-service] \ HCA: ${hca_name}\"\n\n # Find all RoCE v2 IPv4 GIDs for this\ [e2e-llm-inference-service] \ HCA and count by index\n for tpath in /sys/class/infiniband/${hca_name}/ports/1/gid_attrs/types/*;\ [e2e-llm-inference-service] \ do\n if grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\" \"\ [e2e-llm-inference-service] $tpath\" 2>/dev/null; then\n idx=$(basename \"$tpath\"\ [e2e-llm-inference-service] )\n gid_file=\"/sys/class/infiniband/${hca_name}/ports/1/gids/${idx}\"\ [e2e-llm-inference-service] \n # Check for IPv4 GID (contains ffff:)\n \ [e2e-llm-inference-service] \ if [ -f \"$gid_file\" ] && grep -q \"ffff:\" \"$gid_file\"; then\n\ [e2e-llm-inference-service] \ gid_value=$(cat \"$gid_file\" 2>/dev/null || echo\ [e2e-llm-inference-service] \ \"\")\n echo \"[Infer RoCE] Found IPv4 RoCE v2 GID\ [e2e-llm-inference-service] \ for ${hca_name}: index=${idx}, gid=${gid_value}\"\n \ [e2e-llm-inference-service] \ hca_gid_index[\"${hca_name}\"]=\"${idx}\"\n gid_index_count[\"\ [e2e-llm-inference-service] ${idx}\"]=$((${gid_index_count[\"${idx}\"]} + 1))\n \ [e2e-llm-inference-service] \ break # Use first found IPv4 GID per HCA\n fi\n \ [e2e-llm-inference-service] \ fi\n done\n done\n\n # Find the most common\ [e2e-llm-inference-service] \ GID index (most likely to be consistent across nodes)\n best_gid_index=\"\ [e2e-llm-inference-service] \"\n max_count=0\n for idx in \"${!gid_index_count[@]}\"; do\n\ [e2e-llm-inference-service] \ count=${gid_index_count[\"${idx}\"]}\n echo \"[Infer\ [e2e-llm-inference-service] \ RoCE] GID_INDEX ${idx} found on ${count} HCAs\"\n if [ $count\ [e2e-llm-inference-service] \ -gt $max_count ]; then\n max_count=$count\n \ [e2e-llm-inference-service] \ best_gid_index=\"$idx\"\n fi\n done\n\n # Use deterministic\ [e2e-llm-inference-service] \ fallback if tied - prefer index 3 (SR-IOV standard)\n if [ ${#gid_index_count[@]}\ [e2e-llm-inference-service] \ -gt 1 ]; then\n echo \"[Infer RoCE] Multiple GID indices found,\ [e2e-llm-inference-service] \ selecting most common: ${best_gid_index}\"\n # If there's a tie,\ [e2e-llm-inference-service] \ prefer index 3 as it's most common in SR-IOV setups\n if [ -n\ [e2e-llm-inference-service] \ \"${gid_index_count['3']}\" ] && [ \"${gid_index_count['3']}\" -eq \"\ [e2e-llm-inference-service] $max_count\" ]; then\n best_gid_index=\"3\"\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using deterministic fallback: GID_INDEX=3 (SR-IOV\ [e2e-llm-inference-service] \ standard)\"\n fi\n fi\n\n # Check if GID_INDEX is already\ [e2e-llm-inference-service] \ set via environment variables\n if [ -n \"${NCCL_IB_GID_INDEX}\"\ [e2e-llm-inference-service] \ ]; then\n echo \"[Infer RoCE] Using pre-configured NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ from environment\"\n export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using pre-configured GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ for NCCL, NVSHMEM, and UCX\"\n elif [ -n \"$best_gid_index\" ]; then\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Selected GID_INDEX: ${best_gid_index} (found\ [e2e-llm-inference-service] \ on ${max_count} HCAs)\"\n\n export NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \n echo \"[Infer RoCE] Exported GID_INDEX=${best_gid_index} for\ [e2e-llm-inference-service] \ NCCL, NVSHMEM, and UCX\"\n else\n echo \"[Infer RoCE] ERROR:\ [e2e-llm-inference-service] \ No valid IPv4 ${KSERVE_INFER_IB_GID_INDEX_GREP} GID_INDEX found on any\ [e2e-llm-inference-service] \ HCA.\"\n fi\n else\n echo \"[Infer RoCE] No active HCAs found,\ [e2e-llm-inference-service] \ skipping GID_INDEX inference.\"\n fi\nfi\n\n# --disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ landed in vLLM 0.16.0 (vllm-project/vllm#30011).\n# Older versions still\ [e2e-llm-inference-service] \ need the blanket --disable-uvicorn-access-log.\nACCESS_LOG_ARGS=\"--disable-uvicorn-access-log\"\ [e2e-llm-inference-service] \nVLLM_VERSION=$(vllm --version 2>/dev/null | tail -1 | awk '{print $NF}')\n\ [e2e-llm-inference-service] echo \"[access-log-detect] vllm version='${VLLM_VERSION}'\"\nif [[ \"$VLLM_VERSION\"\ [e2e-llm-inference-service] \ =~ ^[0-9]+\\.[0-9]+ ]] && [ \"$(printf '%s\\n%s\\n' \"0.16.0\" \"${VLLM_VERSION}\"\ [e2e-llm-inference-service] \ | sort -V | head -1)\" = \"0.16.0\" ]; then\n ACCESS_LOG_ARGS=\"--disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ /health,/metrics,/ping\"\nfi\necho \"[access-log-detect] selected ACCESS_LOG_ARGS='${ACCESS_LOG_ARGS}'\"\ [e2e-llm-inference-service] \n\n# --shutdown-timeout landed in vLLM 0.18.0 (vllm-project/vllm#36666).\n\ [e2e-llm-inference-service] SHUTDOWN_TIMEOUT_ARGS=\"\"\nif [[ \"$VLLM_VERSION\" =~ ^[0-9]+\\.[0-9]+\ [e2e-llm-inference-service] \ ]] && [ \"$(printf '%s\\n%s\\n' \"0.18.0\" \"${VLLM_VERSION}\" | sort\ [e2e-llm-inference-service] \ -V | head -1)\" = \"0.18.0\" ]; then\n SHUTDOWN_TIMEOUT_ARGS=\"--shutdown-timeout\ [e2e-llm-inference-service] \ 40\"\nfi\n\neval \"exec vllm serve /mnt/models \\\n --served-model-name\ [e2e-llm-inference-service] \ \"facebook/opt-125m\" \"publishers/kserve-ci-e2e-test/models/facebook/opt-125m\"\ [e2e-llm-inference-service] \ \\\n --port 8000 \\\n ${ACCESS_LOG_ARGS} \\\n ${SHUTDOWN_TIMEOUT_ARGS}\ [e2e-llm-inference-service] \ \\\n --enable-ssl-refresh \\\n --ssl-certfile /var/run/kserve/tls/tls.crt\ [e2e-llm-inference-service] \ \\\n --ssl-keyfile /var/run/kserve/tls/tls.key \\\n ${VLLM_ADDITIONAL_ARGS}\ [e2e-llm-inference-service] \ \\\n $@\"" [e2e-llm-inference-service] - -- [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --enable-lora [e2e-llm-inference-service] - --lora-modules [e2e-llm-inference-service] - '''{"name":"lora-adapter-1","path":"/mnt/lora/lora-adapter-1"}''' [e2e-llm-inference-service] - '''{"name":"publishers/kserve-ci-e2e-test/models/lora-adapter-1","path":"/mnt/lora/lora-adapter-1"}''' [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: HOME [e2e-llm-inference-service] value: /home [e2e-llm-inference-service] - name: VLLM_LOGGING_LEVEL [e2e-llm-inference-service] value: DEBUG [e2e-llm-inference-service] - name: VLLM_CPU_KVCACHE_SPACE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: VLLM_ENABLE_V1_MULTIPROCESSING [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: USER [e2e-llm-inference-service] value: nonroot [e2e-llm-inference-service] - name: TORCHINDUCTOR_CACHE_DIR [e2e-llm-inference-service] value: /tmp/torchinductor-cache [e2e-llm-inference-service] - name: HF_HUB_CACHE [e2e-llm-inference-service] value: /models [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '2' [e2e-llm-inference-service] memory: 7Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /mnt [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 10 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 1 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 2 [e2e-llm-inference-service] startupProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 60 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] securityContext: {} [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] strategy: [e2e-llm-inference-service] type: RollingUpdate [e2e-llm-inference-service] rollingUpdate: [e2e-llm-inference-service] maxUnavailable: 25% [e2e-llm-inference-service] maxSurge: 25% [e2e-llm-inference-service] revisionHistoryLimit: 10 [e2e-llm-inference-service] progressDeadlineSeconds: 600 [e2e-llm-inference-service] status: [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] updatedReplicas: 1 [e2e-llm-inference-service] readyReplicas: 1 [e2e-llm-inference-service] availableReplicas: 1 [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - type: Available [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastUpdateTime: '2026-07-07T15:35:52Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-07T15:35:52Z' [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: '2026-07-07T15:35:52Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-07T15:34:21Z' [e2e-llm-inference-service] reason: NewReplicaSetAvailable [e2e-llm-inference-service] message: ReplicaSet "llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-d68d9bcc7" [e2e-llm-inference-service] has successfully progressed. [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] kind: Deployment [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-router-scheduler [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 3902d800-2217-459f-9636-4eaeb71c5316 [e2e-llm-inference-service] resourceVersion: '46277' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:34:22Z' [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-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] deployment.kubernetes.io/revision: '1' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] uid: 278bdfad-82e5-41ea-b741-03303565a8e9 [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: '2026-07-07T15:34:22Z' [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":"278bdfad-82e5-41ea-b741-03303565a8e9"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:progressDeadlineSeconds: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:revisionHistoryLimit: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:strategy: [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:template: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/version: {} [e2e-llm-inference-service] f:certificates.kserve.io/expiration-v2: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"SSL_CERT_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":5557,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9002,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9003,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9090,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp/tokenizer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"STORAGE_ALLOW_PATTERNS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:serviceAccount: {} [e2e-llm-inference-service] f:serviceAccountName: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tokenizer-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-uds"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-07T15:34:56Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/revision: {} [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:availableReplicas: {} [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"type":"Available"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:lastUpdateTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Progressing"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:lastUpdateTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:readyReplicas: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:updatedReplicas: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] template: [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] app.kubernetes.io/version: 0.9.0 [e2e-llm-inference-service] certificates.kserve.io/expiration-v2: 'true' [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: llmisv77ff2528d3e9b4972cd9335229fce9f0-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-tmp [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] - name: STORAGE_ALLOW_PATTERNS [e2e-llm-inference-service] value: '["tokenizer.json", "tokenizer_config.json", "special_tokens_map.json", [e2e-llm-inference-service] "vocab.json", "merges.txt", "config.json", "generation_config.json"]' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/epp [e2e-llm-inference-service] - --pool-name [e2e-llm-inference-service] - llmisvc-model-fb-opt-125m-with-ba4d693a-inference-pool [e2e-llm-inference-service] - --pool-namespace [e2e-llm-inference-service] - kserve-ci-e2e-test [e2e-llm-inference-service] - --zap-encoder [e2e-llm-inference-service] - json [e2e-llm-inference-service] - --grpc-port [e2e-llm-inference-service] - '9002' [e2e-llm-inference-service] - --grpc-health-port [e2e-llm-inference-service] - '9003' [e2e-llm-inference-service] - --enable-cert-reload=true [e2e-llm-inference-service] - --secure-serving=true [e2e-llm-inference-service] - --model-server-metrics-scheme=https [e2e-llm-inference-service] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --config-text [e2e-llm-inference-service] - "apiVersion: inference.networking.x-k8s.io/v1alpha1\nkind: EndpointPickerConfig\n\ [e2e-llm-inference-service] plugins:\n- type: single-profile-handler\n- type: queue-scorer\n- type:\ [e2e-llm-inference-service] \ prefix-cache-scorer\n- type: max-score-picker\n- type: lora-affinity-scorer\n\ [e2e-llm-inference-service] schedulingProfiles:\n- name: default\n plugins:\n - pluginRef: lora-affinity-scorer\n\ [e2e-llm-inference-service] \ weight: 4\n - pluginRef: queue-scorer\n weight: 2\n - pluginRef:\ [e2e-llm-inference-service] \ prefix-cache-scorer\n weight: 3\n - pluginRef: max-score-picker\n" [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] containerPort: 9002 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] containerPort: 9003 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] containerPort: 9090 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] containerPort: 5557 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: SSL_CERT_DIR [e2e-llm-inference-service] value: /var/run/kserve/tls:/var/run/secrets/kubernetes.io/serviceaccount:/etc/pki/tls/certs [e2e-llm-inference-service] resources: [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] mountPath: /tmp/tokenizer [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: liveness [e2e-llm-inference-service] initialDelaySeconds: 5 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: readiness [e2e-llm-inference-service] initialDelaySeconds: 30 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] serviceAccountName: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-sa [e2e-llm-inference-service] serviceAccount: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-sa [e2e-llm-inference-service] securityContext: {} [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] strategy: [e2e-llm-inference-service] type: Recreate [e2e-llm-inference-service] revisionHistoryLimit: 10 [e2e-llm-inference-service] progressDeadlineSeconds: 600 [e2e-llm-inference-service] status: [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] updatedReplicas: 1 [e2e-llm-inference-service] readyReplicas: 1 [e2e-llm-inference-service] availableReplicas: 1 [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - type: Available [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastUpdateTime: '2026-07-07T15:34:56Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-07T15:34:56Z' [e2e-llm-inference-service] reason: MinimumReplicasAvailable [e2e-llm-inference-service] message: Deployment has minimum availability. [e2e-llm-inference-service] - type: Progressing [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastUpdateTime: '2026-07-07T15:34:56Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-07T15:34:22Z' [e2e-llm-inference-service] reason: NewReplicaSetAvailable [e2e-llm-inference-service] message: ReplicaSet "llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-router-scheduler-6f5c957798" [e2e-llm-inference-service] has successfully progressed. [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] kind: Deployment [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-d68d9bcc7 [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 726ed80f-8e60-47e3-b0ad-c5a1da6b0abd [e2e-llm-inference-service] resourceVersion: '47117' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:34:21Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] pod-template-hash: d68d9bcc7 [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] deployment.kubernetes.io/desired-replicas: '1' [e2e-llm-inference-service] deployment.kubernetes.io/max-replicas: '2' [e2e-llm-inference-service] deployment.kubernetes.io/revision: '1' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: apps/v1 [e2e-llm-inference-service] kind: Deployment [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve [e2e-llm-inference-service] uid: 2e1d9e6c-851f-4690-8bd4-329f4f800f6c [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: '2026-07-07T15:34:21Z' [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":"2e1d9e6c-851f-4690-8bd4-329f4f800f6c"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:template: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:llm-d.ai/role: {} [e2e-llm-inference-service] f:pod-template-hash: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_CACHE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HOME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"TORCHINDUCTOR_CACHE_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"USER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_CPU_KVCACHE_SPACE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_ENABLE_V1_MULTIPROCESSING"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_LOGGING_LEVEL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:startupProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/dev/shm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] k:{"mountPath":"/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"CA_BUNDLE_CONFIGMAP_NAME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"CA_BUNDLE_VOLUME_MOUNT_POINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/etc/ssl/custom-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"cabundle-cert"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:configMap: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"dshm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:medium: {} [e2e-llm-inference-service] f:sizeLimit: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"model-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tmp-dir"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-07T15:35:52Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:availableReplicas: {} [e2e-llm-inference-service] f:fullyLabeledReplicas: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:readyReplicas: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] pod-template-hash: d68d9bcc7 [e2e-llm-inference-service] template: [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] pod-template-hash: d68d9bcc7 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] emptyDir: [e2e-llm-inference-service] medium: Memory [e2e-llm-inference-service] sizeLimit: 1Gi [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: llmisv77ff2528d3e9b4972cd9335229fce9f0-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: cabundle-cert [e2e-llm-inference-service] configMap: [e2e-llm-inference-service] name: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] - hf://edbeeching/opt-125m-lora [e2e-llm-inference-service] - /mnt/lora/lora-adapter-1 [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] - name: CA_BUNDLE_CONFIGMAP_NAME [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: CA_BUNDLE_VOLUME_MOUNT_POINT [e2e-llm-inference-service] value: /etc/ssl/custom-certs [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt [e2e-llm-inference-service] - name: cabundle-cert [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /etc/ssl/custom-certs [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/bash [e2e-llm-inference-service] - -c [e2e-llm-inference-service] - "if [ -f /etc/profile.d/ibm-aiu-setup.sh ]; then\n source /etc/profile.d/ibm-aiu-setup.sh\n\ [e2e-llm-inference-service] fi\n\nif [ \"$KSERVE_INFER_ROCE\" = \"true\" ]; then\n echo \"Trying to\ [e2e-llm-inference-service] \ infer RoCE configs ... \"\n grep -H . /sys/class/infiniband/*/ports/*/gids/*\ [e2e-llm-inference-service] \ 2>/dev/null\n grep -H . /sys/class/infiniband/*/ports/*/gid_attrs/types/*\ [e2e-llm-inference-service] \ 2>/dev/null\n\n cat /proc/driver/nvidia/params\n\n KSERVE_INFER_IB_GID_INDEX_GREP=${KSERVE_INFER_IB_GID_INDEX_GREP:-\"\ [e2e-llm-inference-service] RoCE v2\"}\n\n echo \"[Infer RoCE] Discovering active HCAs ...\"\n active_hcas=()\n\ [e2e-llm-inference-service] \ # Loop through all mlx5 devices found in sysfs\n for hca_dir in /sys/class/infiniband/mlx5_*;\ [e2e-llm-inference-service] \ do\n # Ensure it's a directory before proceeding\n if [ -d \"\ [e2e-llm-inference-service] $hca_dir\" ]; then\n hca_name=$(basename \"$hca_dir\")\n \ [e2e-llm-inference-service] \ port_state_file=\"$hca_dir/ports/1/state\" # Assume port 1\n \ [e2e-llm-inference-service] \ type_file=\"$hca_dir/ports/1/gid_attrs/types/*\"\n\n echo\ [e2e-llm-inference-service] \ \"[Infer RoCE] Check if the port state file ${port_state_file} exists\ [e2e-llm-inference-service] \ and contains 'ACTIVE'\"\n if [ -f \"$port_state_file\" ] && grep\ [e2e-llm-inference-service] \ -q \"ACTIVE\" \"$port_state_file\" && grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\"\ [e2e-llm-inference-service] \ ${type_file} 2>/dev/null; then\n echo \"[Infer RoCE] Found\ [e2e-llm-inference-service] \ active HCA: $hca_name\"\n active_hcas+=(\"$hca_name\")\n\ [e2e-llm-inference-service] \ else\n echo \"[Infer RoCE] Skipping inactive or\ [e2e-llm-inference-service] \ down HCA: $hca_name\"\n fi\n fi\n done\n\n # Check if\ [e2e-llm-inference-service] \ we found any active HCAs\n if [ ${#active_hcas[@]} -gt 0 ]; then\n \ [e2e-llm-inference-service] \ # Join the array elements with a comma\n hca_port_pairs=()\n \ [e2e-llm-inference-service] \ for hca in \"${active_hcas[@]}\"; do\n hca_port_pairs+=(\"\ [e2e-llm-inference-service] ${hca}:1\")\n done\n\n active_hca_list=$(IFS=,; echo \"${active_hcas[*]}\"\ [e2e-llm-inference-service] )\n hca_port_pairs_list=$(IFS=,; echo \"${hca_port_pairs[*]}\")\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Setting active HCAs: ${active_hca_list}\"\n \ [e2e-llm-inference-service] \ export NCCL_IB_HCA=${NCCL_IB_HCA:-${active_hca_list}}\n export\ [e2e-llm-inference-service] \ NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST:-${hca_port_pairs_list}}\n export\ [e2e-llm-inference-service] \ UCX_NET_DEVICES=${UCX_NET_DEVICES:-${hca_port_pairs_list}}\n\n echo\ [e2e-llm-inference-service] \ \"[Infer RoCE] NCCL_IB_HCA=${NCCL_IB_HCA}\"\n echo \"[Infer RoCE]\ [e2e-llm-inference-service] \ NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST}\"\n echo \"[Infer RoCE] UCX_NET_DEVICES=${UCX_NET_DEVICES}\"\ [e2e-llm-inference-service] \n else\n echo \"[Infer RoCE] WARNING: No active RoCE HCAs found.\ [e2e-llm-inference-service] \ NCCL_IB_HCA will not be set.\"\n fi\n\n if [ ${#active_hcas[@]} -gt\ [e2e-llm-inference-service] \ 0 ]; then\n echo \"[Infer RoCE] Finding GID_INDEX for each active\ [e2e-llm-inference-service] \ HCA (SR-IOV compatible)...\"\n\n # For SR-IOV environments, find\ [e2e-llm-inference-service] \ the most common IPv4 RoCE v2 GID index across all HCAs\n declare\ [e2e-llm-inference-service] \ -A gid_index_count\n declare -A hca_gid_index\n\n for hca_name\ [e2e-llm-inference-service] \ in \"${active_hcas[@]}\"; do\n echo \"[Infer RoCE] Processing\ [e2e-llm-inference-service] \ HCA: ${hca_name}\"\n\n # Find all RoCE v2 IPv4 GIDs for this\ [e2e-llm-inference-service] \ HCA and count by index\n for tpath in /sys/class/infiniband/${hca_name}/ports/1/gid_attrs/types/*;\ [e2e-llm-inference-service] \ do\n if grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\" \"\ [e2e-llm-inference-service] $tpath\" 2>/dev/null; then\n idx=$(basename \"$tpath\"\ [e2e-llm-inference-service] )\n gid_file=\"/sys/class/infiniband/${hca_name}/ports/1/gids/${idx}\"\ [e2e-llm-inference-service] \n # Check for IPv4 GID (contains ffff:)\n \ [e2e-llm-inference-service] \ if [ -f \"$gid_file\" ] && grep -q \"ffff:\" \"$gid_file\"; then\n\ [e2e-llm-inference-service] \ gid_value=$(cat \"$gid_file\" 2>/dev/null || echo\ [e2e-llm-inference-service] \ \"\")\n echo \"[Infer RoCE] Found IPv4 RoCE v2 GID\ [e2e-llm-inference-service] \ for ${hca_name}: index=${idx}, gid=${gid_value}\"\n \ [e2e-llm-inference-service] \ hca_gid_index[\"${hca_name}\"]=\"${idx}\"\n gid_index_count[\"\ [e2e-llm-inference-service] ${idx}\"]=$((${gid_index_count[\"${idx}\"]} + 1))\n \ [e2e-llm-inference-service] \ break # Use first found IPv4 GID per HCA\n fi\n \ [e2e-llm-inference-service] \ fi\n done\n done\n\n # Find the most common\ [e2e-llm-inference-service] \ GID index (most likely to be consistent across nodes)\n best_gid_index=\"\ [e2e-llm-inference-service] \"\n max_count=0\n for idx in \"${!gid_index_count[@]}\"; do\n\ [e2e-llm-inference-service] \ count=${gid_index_count[\"${idx}\"]}\n echo \"[Infer\ [e2e-llm-inference-service] \ RoCE] GID_INDEX ${idx} found on ${count} HCAs\"\n if [ $count\ [e2e-llm-inference-service] \ -gt $max_count ]; then\n max_count=$count\n \ [e2e-llm-inference-service] \ best_gid_index=\"$idx\"\n fi\n done\n\n # Use deterministic\ [e2e-llm-inference-service] \ fallback if tied - prefer index 3 (SR-IOV standard)\n if [ ${#gid_index_count[@]}\ [e2e-llm-inference-service] \ -gt 1 ]; then\n echo \"[Infer RoCE] Multiple GID indices found,\ [e2e-llm-inference-service] \ selecting most common: ${best_gid_index}\"\n # If there's a tie,\ [e2e-llm-inference-service] \ prefer index 3 as it's most common in SR-IOV setups\n if [ -n\ [e2e-llm-inference-service] \ \"${gid_index_count['3']}\" ] && [ \"${gid_index_count['3']}\" -eq \"\ [e2e-llm-inference-service] $max_count\" ]; then\n best_gid_index=\"3\"\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using deterministic fallback: GID_INDEX=3 (SR-IOV\ [e2e-llm-inference-service] \ standard)\"\n fi\n fi\n\n # Check if GID_INDEX is already\ [e2e-llm-inference-service] \ set via environment variables\n if [ -n \"${NCCL_IB_GID_INDEX}\"\ [e2e-llm-inference-service] \ ]; then\n echo \"[Infer RoCE] Using pre-configured NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ from environment\"\n export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using pre-configured GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ for NCCL, NVSHMEM, and UCX\"\n elif [ -n \"$best_gid_index\" ]; then\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Selected GID_INDEX: ${best_gid_index} (found\ [e2e-llm-inference-service] \ on ${max_count} HCAs)\"\n\n export NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \n echo \"[Infer RoCE] Exported GID_INDEX=${best_gid_index} for\ [e2e-llm-inference-service] \ NCCL, NVSHMEM, and UCX\"\n else\n echo \"[Infer RoCE] ERROR:\ [e2e-llm-inference-service] \ No valid IPv4 ${KSERVE_INFER_IB_GID_INDEX_GREP} GID_INDEX found on any\ [e2e-llm-inference-service] \ HCA.\"\n fi\n else\n echo \"[Infer RoCE] No active HCAs found,\ [e2e-llm-inference-service] \ skipping GID_INDEX inference.\"\n fi\nfi\n\n# --disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ landed in vLLM 0.16.0 (vllm-project/vllm#30011).\n# Older versions still\ [e2e-llm-inference-service] \ need the blanket --disable-uvicorn-access-log.\nACCESS_LOG_ARGS=\"--disable-uvicorn-access-log\"\ [e2e-llm-inference-service] \nVLLM_VERSION=$(vllm --version 2>/dev/null | tail -1 | awk '{print $NF}')\n\ [e2e-llm-inference-service] echo \"[access-log-detect] vllm version='${VLLM_VERSION}'\"\nif [[ \"$VLLM_VERSION\"\ [e2e-llm-inference-service] \ =~ ^[0-9]+\\.[0-9]+ ]] && [ \"$(printf '%s\\n%s\\n' \"0.16.0\" \"${VLLM_VERSION}\"\ [e2e-llm-inference-service] \ | sort -V | head -1)\" = \"0.16.0\" ]; then\n ACCESS_LOG_ARGS=\"--disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ /health,/metrics,/ping\"\nfi\necho \"[access-log-detect] selected ACCESS_LOG_ARGS='${ACCESS_LOG_ARGS}'\"\ [e2e-llm-inference-service] \n\n# --shutdown-timeout landed in vLLM 0.18.0 (vllm-project/vllm#36666).\n\ [e2e-llm-inference-service] SHUTDOWN_TIMEOUT_ARGS=\"\"\nif [[ \"$VLLM_VERSION\" =~ ^[0-9]+\\.[0-9]+\ [e2e-llm-inference-service] \ ]] && [ \"$(printf '%s\\n%s\\n' \"0.18.0\" \"${VLLM_VERSION}\" | sort\ [e2e-llm-inference-service] \ -V | head -1)\" = \"0.18.0\" ]; then\n SHUTDOWN_TIMEOUT_ARGS=\"--shutdown-timeout\ [e2e-llm-inference-service] \ 40\"\nfi\n\neval \"exec vllm serve /mnt/models \\\n --served-model-name\ [e2e-llm-inference-service] \ \"facebook/opt-125m\" \"publishers/kserve-ci-e2e-test/models/facebook/opt-125m\"\ [e2e-llm-inference-service] \ \\\n --port 8000 \\\n ${ACCESS_LOG_ARGS} \\\n ${SHUTDOWN_TIMEOUT_ARGS}\ [e2e-llm-inference-service] \ \\\n --enable-ssl-refresh \\\n --ssl-certfile /var/run/kserve/tls/tls.crt\ [e2e-llm-inference-service] \ \\\n --ssl-keyfile /var/run/kserve/tls/tls.key \\\n ${VLLM_ADDITIONAL_ARGS}\ [e2e-llm-inference-service] \ \\\n $@\"" [e2e-llm-inference-service] - -- [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --enable-lora [e2e-llm-inference-service] - --lora-modules [e2e-llm-inference-service] - '''{"name":"lora-adapter-1","path":"/mnt/lora/lora-adapter-1"}''' [e2e-llm-inference-service] - '''{"name":"publishers/kserve-ci-e2e-test/models/lora-adapter-1","path":"/mnt/lora/lora-adapter-1"}''' [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: HOME [e2e-llm-inference-service] value: /home [e2e-llm-inference-service] - name: VLLM_LOGGING_LEVEL [e2e-llm-inference-service] value: DEBUG [e2e-llm-inference-service] - name: VLLM_CPU_KVCACHE_SPACE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: VLLM_ENABLE_V1_MULTIPROCESSING [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: USER [e2e-llm-inference-service] value: nonroot [e2e-llm-inference-service] - name: TORCHINDUCTOR_CACHE_DIR [e2e-llm-inference-service] value: /tmp/torchinductor-cache [e2e-llm-inference-service] - name: HF_HUB_CACHE [e2e-llm-inference-service] value: /models [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '2' [e2e-llm-inference-service] memory: 7Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /mnt [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 10 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 1 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 2 [e2e-llm-inference-service] startupProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 60 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] securityContext: {} [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] status: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] fullyLabeledReplicas: 1 [e2e-llm-inference-service] readyReplicas: 1 [e2e-llm-inference-service] availableReplicas: 1 [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] kind: ReplicaSet [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-router-scheduler-6f5c957798 [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 14d03b6e-d9c0-495a-85f4-38f8fb3d05fc [e2e-llm-inference-service] resourceVersion: '46276' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:34:22Z' [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-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 6f5c957798 [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] deployment.kubernetes.io/desired-replicas: '1' [e2e-llm-inference-service] deployment.kubernetes.io/max-replicas: '1' [e2e-llm-inference-service] deployment.kubernetes.io/revision: '1' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: apps/v1 [e2e-llm-inference-service] kind: Deployment [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-router-scheduler [e2e-llm-inference-service] uid: 3902d800-2217-459f-9636-4eaeb71c5316 [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: '2026-07-07T15:34:22Z' [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":"3902d800-2217-459f-9636-4eaeb71c5316"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:template: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/version: {} [e2e-llm-inference-service] f:certificates.kserve.io/expiration-v2: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:pod-template-hash: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"SSL_CERT_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":5557,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9002,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9003,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9090,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp/tokenizer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"STORAGE_ALLOW_PATTERNS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:serviceAccount: {} [e2e-llm-inference-service] f:serviceAccountName: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tokenizer-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-uds"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-07T15:34:56Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:availableReplicas: {} [e2e-llm-inference-service] f:fullyLabeledReplicas: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:readyReplicas: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 6f5c957798 [e2e-llm-inference-service] template: [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 6f5c957798 [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] app.kubernetes.io/version: 0.9.0 [e2e-llm-inference-service] certificates.kserve.io/expiration-v2: 'true' [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: llmisv77ff2528d3e9b4972cd9335229fce9f0-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-tmp [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] - name: STORAGE_ALLOW_PATTERNS [e2e-llm-inference-service] value: '["tokenizer.json", "tokenizer_config.json", "special_tokens_map.json", [e2e-llm-inference-service] "vocab.json", "merges.txt", "config.json", "generation_config.json"]' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/epp [e2e-llm-inference-service] - --pool-name [e2e-llm-inference-service] - llmisvc-model-fb-opt-125m-with-ba4d693a-inference-pool [e2e-llm-inference-service] - --pool-namespace [e2e-llm-inference-service] - kserve-ci-e2e-test [e2e-llm-inference-service] - --zap-encoder [e2e-llm-inference-service] - json [e2e-llm-inference-service] - --grpc-port [e2e-llm-inference-service] - '9002' [e2e-llm-inference-service] - --grpc-health-port [e2e-llm-inference-service] - '9003' [e2e-llm-inference-service] - --enable-cert-reload=true [e2e-llm-inference-service] - --secure-serving=true [e2e-llm-inference-service] - --model-server-metrics-scheme=https [e2e-llm-inference-service] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --config-text [e2e-llm-inference-service] - "apiVersion: inference.networking.x-k8s.io/v1alpha1\nkind: EndpointPickerConfig\n\ [e2e-llm-inference-service] plugins:\n- type: single-profile-handler\n- type: queue-scorer\n- type:\ [e2e-llm-inference-service] \ prefix-cache-scorer\n- type: max-score-picker\n- type: lora-affinity-scorer\n\ [e2e-llm-inference-service] schedulingProfiles:\n- name: default\n plugins:\n - pluginRef: lora-affinity-scorer\n\ [e2e-llm-inference-service] \ weight: 4\n - pluginRef: queue-scorer\n weight: 2\n - pluginRef:\ [e2e-llm-inference-service] \ prefix-cache-scorer\n weight: 3\n - pluginRef: max-score-picker\n" [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] containerPort: 9002 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] containerPort: 9003 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] containerPort: 9090 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] containerPort: 5557 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: SSL_CERT_DIR [e2e-llm-inference-service] value: /var/run/kserve/tls:/var/run/secrets/kubernetes.io/serviceaccount:/etc/pki/tls/certs [e2e-llm-inference-service] resources: [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] mountPath: /tmp/tokenizer [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: liveness [e2e-llm-inference-service] initialDelaySeconds: 5 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: readiness [e2e-llm-inference-service] initialDelaySeconds: 30 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] serviceAccountName: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-sa [e2e-llm-inference-service] serviceAccount: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-sa [e2e-llm-inference-service] securityContext: {} [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] status: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] fullyLabeledReplicas: 1 [e2e-llm-inference-service] readyReplicas: 1 [e2e-llm-inference-service] availableReplicas: 1 [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] kind: ReplicaSet [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-rb [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 3304f0a1-3673-42f3-b190-0921eee4d257 [e2e-llm-inference-service] resourceVersion: '45617' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:34:22Z' [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-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] uid: 278bdfad-82e5-41ea-b741-03303565a8e9 [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: '2026-07-07T15:34:21Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [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":"278bdfad-82e5-41ea-b741-03303565a8e9"}: {} [e2e-llm-inference-service] f:roleRef: {} [e2e-llm-inference-service] f:subjects: {} [e2e-llm-inference-service] subjects: [e2e-llm-inference-service] - kind: ServiceAccount [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-sa [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] roleRef: [e2e-llm-inference-service] apiGroup: rbac.authorization.k8s.io [e2e-llm-inference-service] kind: Role [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-role [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] kind: RoleBinding [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-role [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: ad1c1ac8-55bb-4fc5-8b7b-353aa2114872 [e2e-llm-inference-service] resourceVersion: '45612' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:34:21Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] uid: 278bdfad-82e5-41ea-b741-03303565a8e9 [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: '2026-07-07T15:34:21Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [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":"278bdfad-82e5-41ea-b741-03303565a8e9"}: {} [e2e-llm-inference-service] f:rules: {} [e2e-llm-inference-service] rules: [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - '' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - pods [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - inference.networking.k8s.io [e2e-llm-inference-service] - inference.networking.x-k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencepools [e2e-llm-inference-service] - inferenceobjectives [e2e-llm-inference-service] - inferencemodels [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - inference.networking.x-k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencemodelrewrites [e2e-llm-inference-service] - inferencepoolimports [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - discovery.k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - endpointslices [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] - create [e2e-llm-inference-service] - update [e2e-llm-inference-service] - patch [e2e-llm-inference-service] - delete [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - coordination.k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - leases [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] kind: Role [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-service-g6f82 [e2e-llm-inference-service] generateName: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-service- [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 45d423e9-f4da-4fdb-9720-dec6590890f2 [e2e-llm-inference-service] resourceVersion: '46274' [e2e-llm-inference-service] generation: 3 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:34:22Z' [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-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] endpointslice.kubernetes.io/managed-by: endpointslice-controller.k8s.io [e2e-llm-inference-service] kubernetes.io/service-name: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-service [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] endpoints.kubernetes.io/last-change-trigger-time: '2026-07-07T15:34:56Z' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: v1 [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-service [e2e-llm-inference-service] uid: 5122683c-45e7-446b-b127-fa1cb9d0ffa8 [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: '2026-07-07T15:34:56Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:addressType: {} [e2e-llm-inference-service] f:endpoints: {} [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/last-change-trigger-time: {} [e2e-llm-inference-service] f:generateName: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:endpointslice.kubernetes.io/managed-by: {} [e2e-llm-inference-service] f:kubernetes.io/service-name: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"5122683c-45e7-446b-b127-fa1cb9d0ffa8"}: {} [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] - 10.133.0.40 [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] serving: true [e2e-llm-inference-service] terminating: false [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-router-sche4jhsb [e2e-llm-inference-service] uid: 7d1ff99c-4c38-4de4-aaa7-7aef3a757343 [e2e-llm-inference-service] nodeName: ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] zone: us-east-1a [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9002 [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9090 [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 5557 [e2e-llm-inference-service] apiVersion: discovery.k8s.io/v1 [e2e-llm-inference-service] kind: EndpointSlice [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-workload-svtfp46 [e2e-llm-inference-service] generateName: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-workload-svc- [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 8834d0cb-5837-4fa0-97fa-d46b1911e69c [e2e-llm-inference-service] resourceVersion: '47113' [e2e-llm-inference-service] generation: 3 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:34:21Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] endpointslice.kubernetes.io/managed-by: endpointslice-controller.k8s.io [e2e-llm-inference-service] kubernetes.io/service-name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-workload-svc [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] endpoints.kubernetes.io/last-change-trigger-time: '2026-07-07T15:35:52Z' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: v1 [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-workload-svc [e2e-llm-inference-service] uid: e4f625f3-7e18-42bd-9885-9c75f939d7cf [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: '2026-07-07T15:35:52Z' [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":"e4f625f3-7e18-42bd-9885-9c75f939d7cf"}: {} [e2e-llm-inference-service] f:ports: {} [e2e-llm-inference-service] addressType: IPv4 [e2e-llm-inference-service] endpoints: [e2e-llm-inference-service] - addresses: [e2e-llm-inference-service] - 10.134.0.40 [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] serving: true [e2e-llm-inference-service] terminating: false [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-d68d9bcc7-gghpz [e2e-llm-inference-service] uid: 0604315f-d2ca-4cf2-bbd4-1e91088ec018 [e2e-llm-inference-service] nodeName: ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] zone: us-east-1a [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: https [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] appProtocol: https [e2e-llm-inference-service] apiVersion: discovery.k8s.io/v1 [e2e-llm-inference-service] kind: EndpointSlice [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-rb [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 3304f0a1-3673-42f3-b190-0921eee4d257 [e2e-llm-inference-service] resourceVersion: '45617' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:34:22Z' [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-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] uid: 278bdfad-82e5-41ea-b741-03303565a8e9 [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: '2026-07-07T15:34:21Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [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":"278bdfad-82e5-41ea-b741-03303565a8e9"}: {} [e2e-llm-inference-service] f:roleRef: {} [e2e-llm-inference-service] f:subjects: {} [e2e-llm-inference-service] userNames: [e2e-llm-inference-service] - system:serviceaccount:kserve-ci-e2e-test:llmisvc-model-fb-opt-125m-with-ba4d693a-epp-sa [e2e-llm-inference-service] groupNames: null [e2e-llm-inference-service] subjects: [e2e-llm-inference-service] - kind: ServiceAccount [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-sa [e2e-llm-inference-service] roleRef: [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-role [e2e-llm-inference-service] apiVersion: authorization.openshift.io/v1 [e2e-llm-inference-service] kind: RoleBinding [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-role [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: ad1c1ac8-55bb-4fc5-8b7b-353aa2114872 [e2e-llm-inference-service] resourceVersion: '45612' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:34:21Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] uid: 278bdfad-82e5-41ea-b741-03303565a8e9 [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: '2026-07-07T15:34:21Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [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":"278bdfad-82e5-41ea-b741-03303565a8e9"}: {} [e2e-llm-inference-service] f:rules: {} [e2e-llm-inference-service] rules: [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - '' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - pods [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - inference.networking.k8s.io [e2e-llm-inference-service] - inference.networking.x-k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencemodels [e2e-llm-inference-service] - inferenceobjectives [e2e-llm-inference-service] - inferencepools [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - inference.networking.x-k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencemodelrewrites [e2e-llm-inference-service] - inferencepoolimports [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - discovery.k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - endpointslices [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - create [e2e-llm-inference-service] - delete [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - patch [e2e-llm-inference-service] - update [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - coordination.k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - leases [e2e-llm-inference-service] apiVersion: authorization.openshift.io/v1 [e2e-llm-inference-service] kind: Role [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: gateway.networking.k8s.io/v1 [e2e-llm-inference-service] kind: HTTPRoute [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] serving.kserve.io/inference-pool-migrated: v1 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:34:22Z' [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-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: gateway.networking.k8s.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:serving.kserve.io/inference-pool-migrated: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"278bdfad-82e5-41ea-b741-03303565a8e9"}: {} [e2e-llm-inference-service] f:spec: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-07T15:34:38Z' [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: '2026-07-07T15:34:38Z' [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: '2026-07-07T15:34:39Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-route [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] uid: 278bdfad-82e5-41ea-b741-03303565a8e9 [e2e-llm-inference-service] resourceVersion: '46009' [e2e-llm-inference-service] uid: c2fd2dd9-9e36-4524-970e-4937a2d5cfdc [e2e-llm-inference-service] spec: [e2e-llm-inference-service] parentRefs: [e2e-llm-inference-service] - group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] rules: [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/completions [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a/v1/completions [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/completions [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/completions/ [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/lora-adapter-1 [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/completions [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/lora-adapter-1 [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/completions/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/chat/completions [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a/v1/chat/completions [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/chat/completions [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/chat/completions/ [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/lora-adapter-1 [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/chat/completions [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/lora-adapter-1 [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/chat/completions/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/responses [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a/v1/responses [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/responses [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/responses/ [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/lora-adapter-1 [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/responses [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/lora-adapter-1 [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/responses/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/messages [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a/v1/messages [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/messages [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/messages/ [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/lora-adapter-1 [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/messages [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/lora-adapter-1 [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/messages/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-workload-svc [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: / [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-workload-svc [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: / [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/lora-adapter-1 [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: / [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] status: [e2e-llm-inference-service] parents: [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T15:34:22Z' [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: '2026-07-07T15:34:38Z' [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: '2026-07-07T15:34:23Z' [e2e-llm-inference-service] message: Object affected by AuthPolicy [kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-route-authn [e2e-llm-inference-service] openshift-ingress/openshift-ai-inference-authn] [e2e-llm-inference-service] observedGeneration: 2 [e2e-llm-inference-service] reason: Accepted [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: kuadrant.io/AuthPolicyAffected [e2e-llm-inference-service] controllerName: kuadrant.io/policy-controller [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: gateway.networking.k8s.io/v1beta1 [e2e-llm-inference-service] kind: HTTPRoute [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] serving.kserve.io/inference-pool-migrated: v1 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:34:22Z' [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-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: gateway.networking.k8s.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:serving.kserve.io/inference-pool-migrated: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"278bdfad-82e5-41ea-b741-03303565a8e9"}: {} [e2e-llm-inference-service] f:spec: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-07T15:34:38Z' [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: '2026-07-07T15:34:38Z' [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: '2026-07-07T15:34:39Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-route [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] uid: 278bdfad-82e5-41ea-b741-03303565a8e9 [e2e-llm-inference-service] resourceVersion: '46009' [e2e-llm-inference-service] uid: c2fd2dd9-9e36-4524-970e-4937a2d5cfdc [e2e-llm-inference-service] spec: [e2e-llm-inference-service] parentRefs: [e2e-llm-inference-service] - group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] rules: [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/completions [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a/v1/completions [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/completions [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/completions/ [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/lora-adapter-1 [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/completions [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/lora-adapter-1 [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/completions/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/chat/completions [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a/v1/chat/completions [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/chat/completions [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/chat/completions/ [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/lora-adapter-1 [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/chat/completions [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/lora-adapter-1 [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/chat/completions/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/responses [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a/v1/responses [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/responses [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/responses/ [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/lora-adapter-1 [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/responses [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/lora-adapter-1 [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/responses/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/messages [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a/v1/messages [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-inference-pool [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/messages [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/messages/ [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/lora-adapter-1 [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/messages [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/lora-adapter-1 [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/messages/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-workload-svc [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: / [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-workload-svc [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: / [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/lora-adapter-1 [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: / [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] status: [e2e-llm-inference-service] parents: [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T15:34:22Z' [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: '2026-07-07T15:34:38Z' [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: '2026-07-07T15:34:23Z' [e2e-llm-inference-service] message: Object affected by AuthPolicy [kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-route-authn [e2e-llm-inference-service] openshift-ingress/openshift-ai-inference-authn] [e2e-llm-inference-service] observedGeneration: 2 [e2e-llm-inference-service] reason: Accepted [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: kuadrant.io/AuthPolicyAffected [e2e-llm-inference-service] controllerName: kuadrant.io/policy-controller [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: inference.networking.k8s.io/v1 [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:34:22Z' [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-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: inference.networking.k8s.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"278bdfad-82e5-41ea-b741-03303565a8e9"}: {} [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: '2026-07-07T15:34:22Z' [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: '2026-07-07T15:34:38Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-inference-pool [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] uid: 278bdfad-82e5-41ea-b741-03303565a8e9 [e2e-llm-inference-service] resourceVersion: '45988' [e2e-llm-inference-service] uid: 48deec91-c6c3-47ca-971d-5b09129b63c6 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] appProtocol: http [e2e-llm-inference-service] endpointPickerRef: [e2e-llm-inference-service] failureMode: FailOpen [e2e-llm-inference-service] group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-service [e2e-llm-inference-service] port: [e2e-llm-inference-service] number: 9002 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] targetPorts: [e2e-llm-inference-service] - number: 8000 [e2e-llm-inference-service] status: [e2e-llm-inference-service] parents: [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T15:34:38Z' [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: '2026-07-07T15:34:38Z' [e2e-llm-inference-service] message: Referenced ExtensionRef resolved successfully [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] reason: ResolvedRefs [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: ResolvedRefs [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: networking.istio.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: kuadrant.io/v1 [e2e-llm-inference-service] kind: AuthPolicy [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:34:24Z' [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-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: kuadrant.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/managed-by: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"278bdfad-82e5-41ea-b741-03303565a8e9"}: {} [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: '2026-07-07T15:34:24Z' [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: '2026-07-07T15:34:26Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-route-authn [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] uid: 278bdfad-82e5-41ea-b741-03303565a8e9 [e2e-llm-inference-service] resourceVersion: '45803' [e2e-llm-inference-service] uid: 4ceb244a-a65e-46a0-8e6b-de166c19dfdc [e2e-llm-inference-service] spec: [e2e-llm-inference-service] rules: [e2e-llm-inference-service] authentication: [e2e-llm-inference-service] public: [e2e-llm-inference-service] anonymous: {} [e2e-llm-inference-service] credentials: {} [e2e-llm-inference-service] metrics: false [e2e-llm-inference-service] overrides: [e2e-llm-inference-service] fairness: [e2e-llm-inference-service] value: unauthenticated [e2e-llm-inference-service] objective: [e2e-llm-inference-service] value: unauthenticated [e2e-llm-inference-service] priority: 0 [e2e-llm-inference-service] response: [e2e-llm-inference-service] success: [e2e-llm-inference-service] headers: [e2e-llm-inference-service] x-gateway-inference-fairness-id: [e2e-llm-inference-service] metrics: false [e2e-llm-inference-service] plain: [e2e-llm-inference-service] expression: auth.identity.fairness [e2e-llm-inference-service] priority: 0 [e2e-llm-inference-service] x-gateway-inference-objective: [e2e-llm-inference-service] metrics: false [e2e-llm-inference-service] plain: [e2e-llm-inference-service] expression: auth.identity.objective [e2e-llm-inference-service] priority: 0 [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: HTTPRoute [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-route [e2e-llm-inference-service] status: [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T15:34:25Z' [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: '2026-07-07T15:34:26Z' [e2e-llm-inference-service] message: AuthPolicy has been successfully enforced [e2e-llm-inference-service] reason: Enforced [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: Enforced [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:34:22Z' [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-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"278bdfad-82e5-41ea-b741-03303565a8e9"}: {} [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: '2026-07-07T15:34:22Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-scheduler [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] uid: 278bdfad-82e5-41ea-b741-03303565a8e9 [e2e-llm-inference-service] resourceVersion: '45656' [e2e-llm-inference-service] uid: 640aac7c-acc5-4d01-94a9-febd3b728a3f [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:34:38Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-shadow-service [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"278bdfad-82e5-41ea-b741-03303565a8e9"}: {} [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: '2026-07-07T15:34:38Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-shadow-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] uid: 278bdfad-82e5-41ea-b741-03303565a8e9 [e2e-llm-inference-service] resourceVersion: '45993' [e2e-llm-inference-service] uid: a00b9377-57a5-4c36-aaf8-13af3d642ab2 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-model-fb-opt-125m-with-ba4d693a-inference-p-ip-f5162b44.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:34:22Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"278bdfad-82e5-41ea-b741-03303565a8e9"}: {} [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: '2026-07-07T15:34:22Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] uid: 278bdfad-82e5-41ea-b741-03303565a8e9 [e2e-llm-inference-service] resourceVersion: '45663' [e2e-llm-inference-service] uid: 3f98fe20-bb7f-46b9-9c6b-e9e1e0545866 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] caCertificates: /var/run/secrets/kubernetes.io/serviceaccount/service-ca.crt [e2e-llm-inference-service] insecureSkipVerify: false [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1beta1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:34:22Z' [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-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"278bdfad-82e5-41ea-b741-03303565a8e9"}: {} [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: '2026-07-07T15:34:22Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-scheduler [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] uid: 278bdfad-82e5-41ea-b741-03303565a8e9 [e2e-llm-inference-service] resourceVersion: '45656' [e2e-llm-inference-service] uid: 640aac7c-acc5-4d01-94a9-febd3b728a3f [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1beta1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:34:38Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-shadow-service [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"278bdfad-82e5-41ea-b741-03303565a8e9"}: {} [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: '2026-07-07T15:34:38Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-shadow-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] uid: 278bdfad-82e5-41ea-b741-03303565a8e9 [e2e-llm-inference-service] resourceVersion: '45993' [e2e-llm-inference-service] uid: a00b9377-57a5-4c36-aaf8-13af3d642ab2 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-model-fb-opt-125m-with-ba4d693a-inference-p-ip-f5162b44.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1beta1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:34:22Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"278bdfad-82e5-41ea-b741-03303565a8e9"}: {} [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: '2026-07-07T15:34:22Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] uid: 278bdfad-82e5-41ea-b741-03303565a8e9 [e2e-llm-inference-service] resourceVersion: '45663' [e2e-llm-inference-service] uid: 3f98fe20-bb7f-46b9-9c6b-e9e1e0545866 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] caCertificates: /var/run/secrets/kubernetes.io/serviceaccount/service-ca.crt [e2e-llm-inference-service] insecureSkipVerify: false [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1alpha3 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:34:22Z' [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-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"278bdfad-82e5-41ea-b741-03303565a8e9"}: {} [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: '2026-07-07T15:34:22Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-scheduler [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] uid: 278bdfad-82e5-41ea-b741-03303565a8e9 [e2e-llm-inference-service] resourceVersion: '45656' [e2e-llm-inference-service] uid: 640aac7c-acc5-4d01-94a9-febd3b728a3f [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1alpha3 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:34:38Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-shadow-service [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"278bdfad-82e5-41ea-b741-03303565a8e9"}: {} [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: '2026-07-07T15:34:38Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-shadow-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] uid: 278bdfad-82e5-41ea-b741-03303565a8e9 [e2e-llm-inference-service] resourceVersion: '45993' [e2e-llm-inference-service] uid: a00b9377-57a5-4c36-aaf8-13af3d642ab2 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-model-fb-opt-125m-with-ba4d693a-inference-p-ip-f5162b44.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1alpha3 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:34:22Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"278bdfad-82e5-41ea-b741-03303565a8e9"}: {} [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: '2026-07-07T15:34:22Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] uid: 278bdfad-82e5-41ea-b741-03303565a8e9 [e2e-llm-inference-service] resourceVersion: '45663' [e2e-llm-inference-service] uid: 3f98fe20-bb7f-46b9-9c6b-e9e1e0545866 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] caCertificates: /var/run/secrets/kubernetes.io/serviceaccount/service-ca.crt [e2e-llm-inference-service] insecureSkipVerify: false [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: inference.networking.x-k8s.io/v1alpha2 [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:34:22Z' [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-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: inference.networking.x-k8s.io/v1alpha2 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"278bdfad-82e5-41ea-b741-03303565a8e9"}: {} [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: '2026-07-07T15:34:22Z' [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-inference-pool [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] uid: 278bdfad-82e5-41ea-b741-03303565a8e9 [e2e-llm-inference-service] resourceVersion: '45637' [e2e-llm-inference-service] uid: 7ca2d4ae-7590-4325-8e39-56578741fb78 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] extensionRef: [e2e-llm-inference-service] failureMode: FailOpen [e2e-llm-inference-service] group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-epp-service [e2e-llm-inference-service] portNumber: 9002 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] targetPortNumber: 8000 [e2e-llm-inference-service] status: [e2e-llm-inference-service] parent: [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '1970-01-01T00:00:00Z' [e2e-llm-inference-service] message: Waiting for controller [e2e-llm-inference-service] reason: Pending [e2e-llm-inference-service] status: Unknown [e2e-llm-inference-service] type: Accepted [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Status [e2e-llm-inference-service] name: default [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-d68d9bcc7-gghpz [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:50:59Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] pod-template-hash: d68d9bcc7 [e2e-llm-inference-service] timestamp: '2026-07-07T15:50:43Z' [e2e-llm-inference-service] window: 18.446s [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] usage: [e2e-llm-inference-service] cpu: 127521847n [e2e-llm-inference-service] memory: 2317380Ki [e2e-llm-inference-service] apiVersion: metrics.k8s.io/v1beta1 [e2e-llm-inference-service] kind: PodMetrics [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-router-sche4jhsb [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] creationTimestamp: '2026-07-07T15:50:59Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: llmisvc-model-fb-opt-125m-with-ba4d693a [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 6f5c957798 [e2e-llm-inference-service] timestamp: '2026-07-07T15:50:46Z' [e2e-llm-inference-service] window: 12.996s [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] usage: [e2e-llm-inference-service] cpu: 62409741n [e2e-llm-inference-service] memory: 30848Ki [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] [2026-07-07T15:50:59.785042] end - ❌ 1003.118s: ❌ Failed to call model: HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Max retries exceeded with url: /v1/models (Caused by ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")) [e2e-llm-inference-service] _ test_llm_inference_service[router-custom-route-timeout-pd-scheduler-managed-workload-pd-cpu-model-fb-opt-125m] _ [e2e-llm-inference-service] [gw0] linux -- Python 3.11.13 /workspace/source/python/kserve/.venv/bin/python [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] conn = [e2e-llm-inference-service] method = 'POST' [e2e-llm-inference-service] url = '/kserve-ci-e2e-test/custom-route-timeout-pd-test/v1/completions' [e2e-llm-inference-service] body = b'{"model": "facebook/opt-125m", "prompt": "You are an expert in Kubernetes-native machine learning serving platforms,.... Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.", "max_tokens": 20}' [e2e-llm-inference-service] headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive', 'Content-Type': 'application/json', 'Content-Length': '416'} [e2e-llm-inference-service] retries = Retry(total=0, connect=None, read=None, redirect=None, status=None) [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), chunked = False [e2e-llm-inference-service] response_conn = [e2e-llm-inference-service] preload_content = False, decode_content = False, 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] # conn.request() calls http.client.*.request, not the method in [e2e-llm-inference-service] # urllib3.request. It also calls makefile (recv) on the socket. [e2e-llm-inference-service] try: [e2e-llm-inference-service] conn.request( [e2e-llm-inference-service] method, [e2e-llm-inference-service] url, [e2e-llm-inference-service] body=body, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] chunked=chunked, [e2e-llm-inference-service] preload_content=preload_content, [e2e-llm-inference-service] decode_content=decode_content, [e2e-llm-inference-service] enforce_content_length=enforce_content_length, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] # We are swallowing BrokenPipeError (errno.EPIPE) since the server is [e2e-llm-inference-service] # legitimately able to close the connection after sending a valid response. [e2e-llm-inference-service] # With this behaviour, the received response is still readable. [e2e-llm-inference-service] except BrokenPipeError: [e2e-llm-inference-service] pass [e2e-llm-inference-service] except OSError as e: [e2e-llm-inference-service] # MacOS/Linux [e2e-llm-inference-service] # EPROTOTYPE and ECONNRESET are needed on macOS [e2e-llm-inference-service] # https://erickt.github.io/blog/2014/11/19/adventures-in-debugging-a-potential-osx-kernel-bug/ [e2e-llm-inference-service] # Condition changed later to emit ECONNRESET instead of only EPROTOTYPE. [e2e-llm-inference-service] if e.errno != errno.EPROTOTYPE and e.errno != errno.ECONNRESET: [e2e-llm-inference-service] raise [e2e-llm-inference-service] [e2e-llm-inference-service] # Reset the timeout for the recv() on the socket [e2e-llm-inference-service] read_timeout = timeout_obj.read_timeout [e2e-llm-inference-service] [e2e-llm-inference-service] if not conn.is_closed: [e2e-llm-inference-service] # In Python 3 socket.py will catch EAGAIN and return None when you [e2e-llm-inference-service] # try and read into the file pointer created by http.client, which [e2e-llm-inference-service] # instead raises a BadStatusLine exception. Instead of catching [e2e-llm-inference-service] # the exception and assuming all BadStatusLine exceptions are read [e2e-llm-inference-service] # timeouts, check for a zero timeout before making the request. [e2e-llm-inference-service] if read_timeout == 0: [e2e-llm-inference-service] raise ReadTimeoutError( [e2e-llm-inference-service] self, url, f"Read timed out. (read timeout={read_timeout})" [e2e-llm-inference-service] ) [e2e-llm-inference-service] conn.timeout = read_timeout [e2e-llm-inference-service] [e2e-llm-inference-service] # Receive the response from the server [e2e-llm-inference-service] try: [e2e-llm-inference-service] > response = conn.getresponse() [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:534: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] [e2e-llm-inference-service] def getresponse( # type: ignore[override] [e2e-llm-inference-service] self, [e2e-llm-inference-service] ) -> HTTPResponse: [e2e-llm-inference-service] """ [e2e-llm-inference-service] Get the response from the server. [e2e-llm-inference-service] [e2e-llm-inference-service] If the HTTPConnection is in the correct state, returns an instance of HTTPResponse or of whatever object is returned by the response_class variable. [e2e-llm-inference-service] [e2e-llm-inference-service] If a request has not been sent or if a previous response has not be handled, ResponseNotReady is raised. If the HTTP response indicates that the connection should be closed, then it will be closed before the response is returned. When the connection is closed, the underlying socket is closed. [e2e-llm-inference-service] """ [e2e-llm-inference-service] # Raise the same error as http.client.HTTPConnection [e2e-llm-inference-service] if self._response_options is None: [e2e-llm-inference-service] raise ResponseNotReady() [e2e-llm-inference-service] [e2e-llm-inference-service] # Reset this attribute for being used again. [e2e-llm-inference-service] resp_options = self._response_options [e2e-llm-inference-service] self._response_options = None [e2e-llm-inference-service] [e2e-llm-inference-service] # Since the connection's timeout value may have been updated [e2e-llm-inference-service] # we need to set the timeout on the socket. [e2e-llm-inference-service] self.sock.settimeout(self.timeout) [e2e-llm-inference-service] [e2e-llm-inference-service] # This is needed here to avoid circular import errors [e2e-llm-inference-service] from .response import HTTPResponse [e2e-llm-inference-service] [e2e-llm-inference-service] # Save a reference to the shutdown function before ownership is passed [e2e-llm-inference-service] # to httplib_response [e2e-llm-inference-service] # TODO should we implement it everywhere? [e2e-llm-inference-service] _shutdown = getattr(self.sock, "shutdown", None) [e2e-llm-inference-service] [e2e-llm-inference-service] # Get the response from http.client.HTTPConnection [e2e-llm-inference-service] > httplib_response = super().getresponse() [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connection.py:571: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] [e2e-llm-inference-service] def getresponse(self): [e2e-llm-inference-service] """Get the response from the server. [e2e-llm-inference-service] [e2e-llm-inference-service] If the HTTPConnection is in the correct state, returns an [e2e-llm-inference-service] instance of HTTPResponse or of whatever object is returned by [e2e-llm-inference-service] the response_class variable. [e2e-llm-inference-service] [e2e-llm-inference-service] If a request has not been sent or if a previous response has [e2e-llm-inference-service] not be handled, ResponseNotReady is raised. If the HTTP [e2e-llm-inference-service] response indicates that the connection should be closed, then [e2e-llm-inference-service] it will be closed before the response is returned. When the [e2e-llm-inference-service] connection is closed, the underlying socket is closed. [e2e-llm-inference-service] """ [e2e-llm-inference-service] [e2e-llm-inference-service] # if a prior response has been completed, then forget about it. [e2e-llm-inference-service] if self.__response and self.__response.isclosed(): [e2e-llm-inference-service] self.__response = None [e2e-llm-inference-service] [e2e-llm-inference-service] # if a prior response exists, then it must be completed (otherwise, we [e2e-llm-inference-service] # cannot read this response's header to determine the connection-close [e2e-llm-inference-service] # behavior) [e2e-llm-inference-service] # [e2e-llm-inference-service] # note: if a prior response existed, but was connection-close, then the [e2e-llm-inference-service] # socket and response were made independent of this HTTPConnection [e2e-llm-inference-service] # object since a new request requires that we open a whole new [e2e-llm-inference-service] # connection [e2e-llm-inference-service] # [e2e-llm-inference-service] # this means the prior response had one of two states: [e2e-llm-inference-service] # 1) will_close: this connection was reset and the prior socket and [e2e-llm-inference-service] # response operate independently [e2e-llm-inference-service] # 2) persistent: the response was retained and we await its [e2e-llm-inference-service] # isclosed() status to become true. [e2e-llm-inference-service] # [e2e-llm-inference-service] if self.__state != _CS_REQ_SENT or self.__response: [e2e-llm-inference-service] raise ResponseNotReady(self.__state) [e2e-llm-inference-service] [e2e-llm-inference-service] if self.debuglevel > 0: [e2e-llm-inference-service] response = self.response_class(self.sock, self.debuglevel, [e2e-llm-inference-service] method=self._method) [e2e-llm-inference-service] else: [e2e-llm-inference-service] response = self.response_class(self.sock, method=self._method) [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] try: [e2e-llm-inference-service] > response.begin() [e2e-llm-inference-service] [e2e-llm-inference-service] /usr/lib64/python3.11/http/client.py:1395: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] [e2e-llm-inference-service] def begin(self): [e2e-llm-inference-service] if self.headers is not None: [e2e-llm-inference-service] # we've already started reading the response [e2e-llm-inference-service] return [e2e-llm-inference-service] [e2e-llm-inference-service] # read until we get a non-100 response [e2e-llm-inference-service] while True: [e2e-llm-inference-service] > version, status, reason = self._read_status() [e2e-llm-inference-service] [e2e-llm-inference-service] /usr/lib64/python3.11/http/client.py:325: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] [e2e-llm-inference-service] def _read_status(self): [e2e-llm-inference-service] > line = str(self.fp.readline(_MAXLINE + 1), "iso-8859-1") [e2e-llm-inference-service] [e2e-llm-inference-service] /usr/lib64/python3.11/http/client.py:286: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] b = [e2e-llm-inference-service] [e2e-llm-inference-service] def readinto(self, b): [e2e-llm-inference-service] """Read up to len(b) bytes into the writable buffer *b* and return [e2e-llm-inference-service] the number of bytes read. If the socket is non-blocking and no bytes [e2e-llm-inference-service] are available, None is returned. [e2e-llm-inference-service] [e2e-llm-inference-service] If *b* is non-empty, a 0 return value indicates that the connection [e2e-llm-inference-service] was shutdown at the other end. [e2e-llm-inference-service] """ [e2e-llm-inference-service] self._checkClosed() [e2e-llm-inference-service] self._checkReadable() [e2e-llm-inference-service] if self._timeout_occurred: [e2e-llm-inference-service] raise OSError("cannot read from timed out object") [e2e-llm-inference-service] while True: [e2e-llm-inference-service] try: [e2e-llm-inference-service] > return self._sock.recv_into(b) [e2e-llm-inference-service] E TimeoutError: timed out [e2e-llm-inference-service] [e2e-llm-inference-service] /usr/lib64/python3.11/socket.py:718: TimeoutError [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' [e2e-llm-inference-service] url = '/kserve-ci-e2e-test/custom-route-timeout-pd-test/v1/completions' [e2e-llm-inference-service] body = b'{"model": "facebook/opt-125m", "prompt": "You are an expert in Kubernetes-native machine learning serving platforms,.... Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.", "max_tokens": 20}' [e2e-llm-inference-service] headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive', 'Content-Type': 'application/json', 'Content-Length': '416'} [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 [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None [e2e-llm-inference-service] release_conn = False, chunked = False, body_pos = None, preload_content = False [e2e-llm-inference-service] decode_content = False, response_kw = {} [e2e-llm-inference-service] parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/kserve-ci-e2e-test/custom-route-timeout-pd-test/v1/completions', query=None, fragment=None) [e2e-llm-inference-service] destination_scheme = None, conn = None, release_this_conn = True [e2e-llm-inference-service] http_tunnel_required = False, err = None, 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] parsed_url = parse_url(url) [e2e-llm-inference-service] destination_scheme = parsed_url.scheme [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] # Ensure that the URL we're connecting to is properly encoded [e2e-llm-inference-service] if url.startswith("/"): [e2e-llm-inference-service] url = to_str(_encode_target(url)) [e2e-llm-inference-service] else: [e2e-llm-inference-service] url = to_str(parsed_url.url) [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:787: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] conn = [e2e-llm-inference-service] method = 'POST' [e2e-llm-inference-service] url = '/kserve-ci-e2e-test/custom-route-timeout-pd-test/v1/completions' [e2e-llm-inference-service] body = b'{"model": "facebook/opt-125m", "prompt": "You are an expert in Kubernetes-native machine learning serving platforms,.... Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.", "max_tokens": 20}' [e2e-llm-inference-service] headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive', 'Content-Type': 'application/json', 'Content-Length': '416'} [e2e-llm-inference-service] retries = Retry(total=0, connect=None, read=None, redirect=None, status=None) [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), chunked = False [e2e-llm-inference-service] response_conn = [e2e-llm-inference-service] preload_content = False, decode_content = False, 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] # conn.request() calls http.client.*.request, not the method in [e2e-llm-inference-service] # urllib3.request. It also calls makefile (recv) on the socket. [e2e-llm-inference-service] try: [e2e-llm-inference-service] conn.request( [e2e-llm-inference-service] method, [e2e-llm-inference-service] url, [e2e-llm-inference-service] body=body, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] chunked=chunked, [e2e-llm-inference-service] preload_content=preload_content, [e2e-llm-inference-service] decode_content=decode_content, [e2e-llm-inference-service] enforce_content_length=enforce_content_length, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] # We are swallowing BrokenPipeError (errno.EPIPE) since the server is [e2e-llm-inference-service] # legitimately able to close the connection after sending a valid response. [e2e-llm-inference-service] # With this behaviour, the received response is still readable. [e2e-llm-inference-service] except BrokenPipeError: [e2e-llm-inference-service] pass [e2e-llm-inference-service] except OSError as e: [e2e-llm-inference-service] # MacOS/Linux [e2e-llm-inference-service] # EPROTOTYPE and ECONNRESET are needed on macOS [e2e-llm-inference-service] # https://erickt.github.io/blog/2014/11/19/adventures-in-debugging-a-potential-osx-kernel-bug/ [e2e-llm-inference-service] # Condition changed later to emit ECONNRESET instead of only EPROTOTYPE. [e2e-llm-inference-service] if e.errno != errno.EPROTOTYPE and e.errno != errno.ECONNRESET: [e2e-llm-inference-service] raise [e2e-llm-inference-service] [e2e-llm-inference-service] # Reset the timeout for the recv() on the socket [e2e-llm-inference-service] read_timeout = timeout_obj.read_timeout [e2e-llm-inference-service] [e2e-llm-inference-service] if not conn.is_closed: [e2e-llm-inference-service] # In Python 3 socket.py will catch EAGAIN and return None when you [e2e-llm-inference-service] # try and read into the file pointer created by http.client, which [e2e-llm-inference-service] # instead raises a BadStatusLine exception. Instead of catching [e2e-llm-inference-service] # the exception and assuming all BadStatusLine exceptions are read [e2e-llm-inference-service] # timeouts, check for a zero timeout before making the request. [e2e-llm-inference-service] if read_timeout == 0: [e2e-llm-inference-service] raise ReadTimeoutError( [e2e-llm-inference-service] self, url, f"Read timed out. (read timeout={read_timeout})" [e2e-llm-inference-service] ) [e2e-llm-inference-service] conn.timeout = read_timeout [e2e-llm-inference-service] [e2e-llm-inference-service] # Receive the response from the server [e2e-llm-inference-service] try: [e2e-llm-inference-service] response = conn.getresponse() [e2e-llm-inference-service] except (BaseSSLError, OSError) as e: [e2e-llm-inference-service] > self._raise_timeout(err=e, url=url, timeout_value=read_timeout) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:536: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] err = TimeoutError('timed out') [e2e-llm-inference-service] url = '/kserve-ci-e2e-test/custom-route-timeout-pd-test/v1/completions' [e2e-llm-inference-service] timeout_value = 60 [e2e-llm-inference-service] [e2e-llm-inference-service] def _raise_timeout( [e2e-llm-inference-service] self, [e2e-llm-inference-service] err: BaseSSLError | OSError | SocketTimeout, [e2e-llm-inference-service] url: str, [e2e-llm-inference-service] timeout_value: _TYPE_TIMEOUT | None, [e2e-llm-inference-service] ) -> None: [e2e-llm-inference-service] """Is the error actually a timeout? Will raise a ReadTimeout or pass""" [e2e-llm-inference-service] [e2e-llm-inference-service] if isinstance(err, SocketTimeout): [e2e-llm-inference-service] > raise ReadTimeoutError( [e2e-llm-inference-service] self, url, f"Read timed out. (read timeout={timeout_value})" [e2e-llm-inference-service] ) from err [e2e-llm-inference-service] E urllib3.exceptions.ReadTimeoutError: HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/connectionpool.py:367: ReadTimeoutError [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] request = , stream = False [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), verify = '/tmp/ca.crt' [e2e-llm-inference-service] cert = None, proxies = OrderedDict() [e2e-llm-inference-service] [e2e-llm-inference-service] def send( [e2e-llm-inference-service] self, request, stream=False, timeout=None, verify=True, cert=None, proxies=None [e2e-llm-inference-service] ): [e2e-llm-inference-service] """Sends PreparedRequest object. Returns Response object. [e2e-llm-inference-service] [e2e-llm-inference-service] :param request: The :class:`PreparedRequest ` being sent. [e2e-llm-inference-service] :param stream: (optional) Whether to stream the request content. [e2e-llm-inference-service] :param timeout: (optional) How long to wait for the server to send [e2e-llm-inference-service] data before giving up, as a float, or a :ref:`(connect timeout, [e2e-llm-inference-service] read timeout) ` tuple. [e2e-llm-inference-service] :type timeout: float or tuple or urllib3 Timeout object [e2e-llm-inference-service] :param verify: (optional) Either a boolean, in which case it controls whether [e2e-llm-inference-service] we verify the server's TLS certificate, or a string, in which case it [e2e-llm-inference-service] must be a path to a CA bundle to use [e2e-llm-inference-service] :param cert: (optional) Any user-provided SSL certificate to be trusted. [e2e-llm-inference-service] :param proxies: (optional) The proxies dictionary to apply to the request. [e2e-llm-inference-service] :rtype: requests.Response [e2e-llm-inference-service] """ [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] conn = self.get_connection_with_tls_context( [e2e-llm-inference-service] request, verify, proxies=proxies, cert=cert [e2e-llm-inference-service] ) [e2e-llm-inference-service] except LocationValueError as e: [e2e-llm-inference-service] raise InvalidURL(e, request=request) [e2e-llm-inference-service] [e2e-llm-inference-service] self.cert_verify(conn, request.url, verify, cert) [e2e-llm-inference-service] url = self.request_url(request, proxies) [e2e-llm-inference-service] self.add_headers( [e2e-llm-inference-service] request, [e2e-llm-inference-service] stream=stream, [e2e-llm-inference-service] timeout=timeout, [e2e-llm-inference-service] verify=verify, [e2e-llm-inference-service] cert=cert, [e2e-llm-inference-service] proxies=proxies, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] chunked = not (request.body is None or "Content-Length" in request.headers) [e2e-llm-inference-service] [e2e-llm-inference-service] if isinstance(timeout, tuple): [e2e-llm-inference-service] try: [e2e-llm-inference-service] connect, read = timeout [e2e-llm-inference-service] timeout = TimeoutSauce(connect=connect, read=read) [e2e-llm-inference-service] except ValueError: [e2e-llm-inference-service] raise ValueError( [e2e-llm-inference-service] f"Invalid timeout {timeout}. Pass a (connect, read) timeout tuple, " [e2e-llm-inference-service] f"or a single float to set both timeouts to the same value." [e2e-llm-inference-service] ) [e2e-llm-inference-service] elif isinstance(timeout, TimeoutSauce): [e2e-llm-inference-service] pass [e2e-llm-inference-service] else: [e2e-llm-inference-service] timeout = TimeoutSauce(connect=timeout, read=timeout) [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] > resp = conn.urlopen( [e2e-llm-inference-service] method=request.method, [e2e-llm-inference-service] url=url, [e2e-llm-inference-service] body=request.body, [e2e-llm-inference-service] headers=request.headers, [e2e-llm-inference-service] redirect=False, [e2e-llm-inference-service] assert_same_host=False, [e2e-llm-inference-service] preload_content=False, [e2e-llm-inference-service] decode_content=False, [e2e-llm-inference-service] retries=self.max_retries, [e2e-llm-inference-service] timeout=timeout, [e2e-llm-inference-service] chunked=chunked, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/requests/adapters.py:667: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] method = 'POST' [e2e-llm-inference-service] url = '/kserve-ci-e2e-test/custom-route-timeout-pd-test/v1/completions' [e2e-llm-inference-service] body = b'{"model": "facebook/opt-125m", "prompt": "You are an expert in Kubernetes-native machine learning serving platforms,.... Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.", "max_tokens": 20}' [e2e-llm-inference-service] headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive', 'Content-Type': 'application/json', 'Content-Length': '416'} [e2e-llm-inference-service] retries = Retry(total=7, connect=None, read=None, redirect=None, status=None) [e2e-llm-inference-service] redirect = False, assert_same_host = False [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None [e2e-llm-inference-service] release_conn = False, chunked = False, body_pos = None, preload_content = False [e2e-llm-inference-service] decode_content = False, response_kw = {} [e2e-llm-inference-service] parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/kserve-ci-e2e-test/custom-route-timeout-pd-test/v1/completions', query=None, fragment=None) [e2e-llm-inference-service] destination_scheme = None, conn = None, release_this_conn = True [e2e-llm-inference-service] http_tunnel_required = False [e2e-llm-inference-service] err = ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)") [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] parsed_url = parse_url(url) [e2e-llm-inference-service] destination_scheme = parsed_url.scheme [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] # Ensure that the URL we're connecting to is properly encoded [e2e-llm-inference-service] if url.startswith("/"): [e2e-llm-inference-service] url = to_str(_encode_target(url)) [e2e-llm-inference-service] else: [e2e-llm-inference-service] url = to_str(parsed_url.url) [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:871: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] method = 'POST' [e2e-llm-inference-service] url = '/kserve-ci-e2e-test/custom-route-timeout-pd-test/v1/completions' [e2e-llm-inference-service] body = b'{"model": "facebook/opt-125m", "prompt": "You are an expert in Kubernetes-native machine learning serving platforms,.... Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.", "max_tokens": 20}' [e2e-llm-inference-service] headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive', 'Content-Type': 'application/json', 'Content-Length': '416'} [e2e-llm-inference-service] retries = Retry(total=6, connect=None, read=None, redirect=None, status=None) [e2e-llm-inference-service] redirect = False, assert_same_host = False [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None [e2e-llm-inference-service] release_conn = False, chunked = False, body_pos = None, preload_content = False [e2e-llm-inference-service] decode_content = False, response_kw = {} [e2e-llm-inference-service] parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/kserve-ci-e2e-test/custom-route-timeout-pd-test/v1/completions', query=None, fragment=None) [e2e-llm-inference-service] destination_scheme = None, conn = None, release_this_conn = True [e2e-llm-inference-service] http_tunnel_required = False [e2e-llm-inference-service] err = ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)") [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] parsed_url = parse_url(url) [e2e-llm-inference-service] destination_scheme = parsed_url.scheme [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] # Ensure that the URL we're connecting to is properly encoded [e2e-llm-inference-service] if url.startswith("/"): [e2e-llm-inference-service] url = to_str(_encode_target(url)) [e2e-llm-inference-service] else: [e2e-llm-inference-service] url = to_str(parsed_url.url) [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:871: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] method = 'POST' [e2e-llm-inference-service] url = '/kserve-ci-e2e-test/custom-route-timeout-pd-test/v1/completions' [e2e-llm-inference-service] body = b'{"model": "facebook/opt-125m", "prompt": "You are an expert in Kubernetes-native machine learning serving platforms,.... Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.", "max_tokens": 20}' [e2e-llm-inference-service] headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive', 'Content-Type': 'application/json', 'Content-Length': '416'} [e2e-llm-inference-service] retries = Retry(total=5, connect=None, read=None, redirect=None, status=None) [e2e-llm-inference-service] redirect = False, assert_same_host = False [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None [e2e-llm-inference-service] release_conn = False, chunked = False, body_pos = None, preload_content = False [e2e-llm-inference-service] decode_content = False, response_kw = {} [e2e-llm-inference-service] parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/kserve-ci-e2e-test/custom-route-timeout-pd-test/v1/completions', query=None, fragment=None) [e2e-llm-inference-service] destination_scheme = None, conn = None, release_this_conn = True [e2e-llm-inference-service] http_tunnel_required = False [e2e-llm-inference-service] err = ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)") [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] parsed_url = parse_url(url) [e2e-llm-inference-service] destination_scheme = parsed_url.scheme [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] # Ensure that the URL we're connecting to is properly encoded [e2e-llm-inference-service] if url.startswith("/"): [e2e-llm-inference-service] url = to_str(_encode_target(url)) [e2e-llm-inference-service] else: [e2e-llm-inference-service] url = to_str(parsed_url.url) [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:871: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] method = 'POST' [e2e-llm-inference-service] url = '/kserve-ci-e2e-test/custom-route-timeout-pd-test/v1/completions' [e2e-llm-inference-service] body = b'{"model": "facebook/opt-125m", "prompt": "You are an expert in Kubernetes-native machine learning serving platforms,.... Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.", "max_tokens": 20}' [e2e-llm-inference-service] headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive', 'Content-Type': 'application/json', 'Content-Length': '416'} [e2e-llm-inference-service] retries = Retry(total=4, connect=None, read=None, redirect=None, status=None) [e2e-llm-inference-service] redirect = False, assert_same_host = False [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None [e2e-llm-inference-service] release_conn = False, chunked = False, body_pos = None, preload_content = False [e2e-llm-inference-service] decode_content = False, response_kw = {} [e2e-llm-inference-service] parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/kserve-ci-e2e-test/custom-route-timeout-pd-test/v1/completions', query=None, fragment=None) [e2e-llm-inference-service] destination_scheme = None, conn = None, release_this_conn = True [e2e-llm-inference-service] http_tunnel_required = False [e2e-llm-inference-service] err = ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)") [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] parsed_url = parse_url(url) [e2e-llm-inference-service] destination_scheme = parsed_url.scheme [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] # Ensure that the URL we're connecting to is properly encoded [e2e-llm-inference-service] if url.startswith("/"): [e2e-llm-inference-service] url = to_str(_encode_target(url)) [e2e-llm-inference-service] else: [e2e-llm-inference-service] url = to_str(parsed_url.url) [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:871: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] method = 'POST' [e2e-llm-inference-service] url = '/kserve-ci-e2e-test/custom-route-timeout-pd-test/v1/completions' [e2e-llm-inference-service] body = b'{"model": "facebook/opt-125m", "prompt": "You are an expert in Kubernetes-native machine learning serving platforms,.... Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.", "max_tokens": 20}' [e2e-llm-inference-service] headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive', 'Content-Type': 'application/json', 'Content-Length': '416'} [e2e-llm-inference-service] retries = Retry(total=3, connect=None, read=None, redirect=None, status=None) [e2e-llm-inference-service] redirect = False, assert_same_host = False [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None [e2e-llm-inference-service] release_conn = False, chunked = False, body_pos = None, preload_content = False [e2e-llm-inference-service] decode_content = False, response_kw = {} [e2e-llm-inference-service] parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/kserve-ci-e2e-test/custom-route-timeout-pd-test/v1/completions', query=None, fragment=None) [e2e-llm-inference-service] destination_scheme = None, conn = None, release_this_conn = True [e2e-llm-inference-service] http_tunnel_required = False [e2e-llm-inference-service] err = ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)") [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] parsed_url = parse_url(url) [e2e-llm-inference-service] destination_scheme = parsed_url.scheme [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] # Ensure that the URL we're connecting to is properly encoded [e2e-llm-inference-service] if url.startswith("/"): [e2e-llm-inference-service] url = to_str(_encode_target(url)) [e2e-llm-inference-service] else: [e2e-llm-inference-service] url = to_str(parsed_url.url) [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:871: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] method = 'POST' [e2e-llm-inference-service] url = '/kserve-ci-e2e-test/custom-route-timeout-pd-test/v1/completions' [e2e-llm-inference-service] body = b'{"model": "facebook/opt-125m", "prompt": "You are an expert in Kubernetes-native machine learning serving platforms,.... Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.", "max_tokens": 20}' [e2e-llm-inference-service] headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive', 'Content-Type': 'application/json', 'Content-Length': '416'} [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 [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None [e2e-llm-inference-service] release_conn = False, chunked = False, body_pos = None, preload_content = False [e2e-llm-inference-service] decode_content = False, response_kw = {} [e2e-llm-inference-service] parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/kserve-ci-e2e-test/custom-route-timeout-pd-test/v1/completions', query=None, fragment=None) [e2e-llm-inference-service] destination_scheme = None, conn = None, release_this_conn = True [e2e-llm-inference-service] http_tunnel_required = False [e2e-llm-inference-service] err = ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)") [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] parsed_url = parse_url(url) [e2e-llm-inference-service] destination_scheme = parsed_url.scheme [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] # Ensure that the URL we're connecting to is properly encoded [e2e-llm-inference-service] if url.startswith("/"): [e2e-llm-inference-service] url = to_str(_encode_target(url)) [e2e-llm-inference-service] else: [e2e-llm-inference-service] url = to_str(parsed_url.url) [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:871: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] method = 'POST' [e2e-llm-inference-service] url = '/kserve-ci-e2e-test/custom-route-timeout-pd-test/v1/completions' [e2e-llm-inference-service] body = b'{"model": "facebook/opt-125m", "prompt": "You are an expert in Kubernetes-native machine learning serving platforms,.... Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.", "max_tokens": 20}' [e2e-llm-inference-service] headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive', 'Content-Type': 'application/json', 'Content-Length': '416'} [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 [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None [e2e-llm-inference-service] release_conn = False, chunked = False, body_pos = None, preload_content = False [e2e-llm-inference-service] decode_content = False, response_kw = {} [e2e-llm-inference-service] parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/kserve-ci-e2e-test/custom-route-timeout-pd-test/v1/completions', query=None, fragment=None) [e2e-llm-inference-service] destination_scheme = None, conn = None, release_this_conn = True [e2e-llm-inference-service] http_tunnel_required = False [e2e-llm-inference-service] err = RemoteDisconnected('Remote end closed connection without response') [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] parsed_url = parse_url(url) [e2e-llm-inference-service] destination_scheme = parsed_url.scheme [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] # Ensure that the URL we're connecting to is properly encoded [e2e-llm-inference-service] if url.startswith("/"): [e2e-llm-inference-service] url = to_str(_encode_target(url)) [e2e-llm-inference-service] else: [e2e-llm-inference-service] url = to_str(parsed_url.url) [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:871: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] method = 'POST' [e2e-llm-inference-service] url = '/kserve-ci-e2e-test/custom-route-timeout-pd-test/v1/completions' [e2e-llm-inference-service] body = b'{"model": "facebook/opt-125m", "prompt": "You are an expert in Kubernetes-native machine learning serving platforms,.... Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.", "max_tokens": 20}' [e2e-llm-inference-service] headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive', 'Content-Type': 'application/json', 'Content-Length': '416'} [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 [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None [e2e-llm-inference-service] release_conn = False, chunked = False, body_pos = None, preload_content = False [e2e-llm-inference-service] decode_content = False, response_kw = {} [e2e-llm-inference-service] parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/kserve-ci-e2e-test/custom-route-timeout-pd-test/v1/completions', query=None, fragment=None) [e2e-llm-inference-service] destination_scheme = None, conn = None, release_this_conn = True [e2e-llm-inference-service] http_tunnel_required = False [e2e-llm-inference-service] err = ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)") [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] parsed_url = parse_url(url) [e2e-llm-inference-service] destination_scheme = parsed_url.scheme [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] # Ensure that the URL we're connecting to is properly encoded [e2e-llm-inference-service] if url.startswith("/"): [e2e-llm-inference-service] url = to_str(_encode_target(url)) [e2e-llm-inference-service] else: [e2e-llm-inference-service] url = to_str(parsed_url.url) [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:871: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] method = 'POST' [e2e-llm-inference-service] url = '/kserve-ci-e2e-test/custom-route-timeout-pd-test/v1/completions' [e2e-llm-inference-service] body = b'{"model": "facebook/opt-125m", "prompt": "You are an expert in Kubernetes-native machine learning serving platforms,.... Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.", "max_tokens": 20}' [e2e-llm-inference-service] headers = {'User-Agent': 'python-requests/2.32.3', 'Accept-Encoding': 'gzip, deflate', 'Accept': '*/*', 'Connection': 'keep-alive', 'Content-Type': 'application/json', 'Content-Length': '416'} [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 [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), pool_timeout = None [e2e-llm-inference-service] release_conn = False, chunked = False, body_pos = None, preload_content = False [e2e-llm-inference-service] decode_content = False, response_kw = {} [e2e-llm-inference-service] parsed_url = Url(scheme=None, auth=None, host=None, port=None, path='/kserve-ci-e2e-test/custom-route-timeout-pd-test/v1/completions', query=None, fragment=None) [e2e-llm-inference-service] destination_scheme = None, conn = None, release_this_conn = True [e2e-llm-inference-service] http_tunnel_required = False, err = None, 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] parsed_url = parse_url(url) [e2e-llm-inference-service] destination_scheme = parsed_url.scheme [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] # Ensure that the URL we're connecting to is properly encoded [e2e-llm-inference-service] if url.startswith("/"): [e2e-llm-inference-service] url = to_str(_encode_target(url)) [e2e-llm-inference-service] else: [e2e-llm-inference-service] url = to_str(parsed_url.url) [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:841: [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' [e2e-llm-inference-service] url = '/kserve-ci-e2e-test/custom-route-timeout-pd-test/v1/completions' [e2e-llm-inference-service] response = None [e2e-llm-inference-service] error = ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)") [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: HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Max retries exceeded with url: /kserve-ci-e2e-test/custom-route-timeout-pd-test/v1/completions (Caused by ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/urllib3/util/retry.py:519: MaxRetryError [e2e-llm-inference-service] [e2e-llm-inference-service] During handling of the above exception, another exception occurred: [e2e-llm-inference-service] [e2e-llm-inference-service] def get_successful_response(): [e2e-llm-inference-service] try: [e2e-llm-inference-service] if test_case.url_getter: [e2e-llm-inference-service] service_url = test_case.url_getter(kserve_client, test_case.llm_service) [e2e-llm-inference-service] else: [e2e-llm-inference-service] service_url = get_llm_service_url(kserve_client, test_case.llm_service) [e2e-llm-inference-service] except Exception as e: [e2e-llm-inference-service] raise AssertionError(f"❌ Failed to get service URL: {e}") from e [e2e-llm-inference-service] [e2e-llm-inference-service] model_url = service_url + test_case.endpoint [e2e-llm-inference-service] [e2e-llm-inference-service] headers = {"Content-Type": "application/json"} [e2e-llm-inference-service] if extra_headers: [e2e-llm-inference-service] headers.update(extra_headers) [e2e-llm-inference-service] [e2e-llm-inference-service] if test_case.payload_formatter is not None: [e2e-llm-inference-service] test_payload = test_case.payload_formatter(test_case) [e2e-llm-inference-service] elif test_case.prompt is not None: [e2e-llm-inference-service] test_payload = { [e2e-llm-inference-service] "model": test_case.model_name [e2e-llm-inference-service] if not extra_headers or MODEL_ROUTING_HEADER not in extra_headers [e2e-llm-inference-service] else extra_headers[MODEL_ROUTING_HEADER], [e2e-llm-inference-service] "prompt": test_case.prompt, [e2e-llm-inference-service] "max_tokens": test_case.max_tokens, [e2e-llm-inference-service] } [e2e-llm-inference-service] else: [e2e-llm-inference-service] test_payload = None [e2e-llm-inference-service] [e2e-llm-inference-service] logger.info(f"Calling LLM service at {model_url} with payload {test_payload}") [e2e-llm-inference-service] try: [e2e-llm-inference-service] if test_payload is not None: [e2e-llm-inference-service] > response = post_with_retry( [e2e-llm-inference-service] model_url, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] json_data=test_payload, [e2e-llm-inference-service] timeout=test_case.response_timeout, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:1095: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] url = 'http://abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com/kserve-ci-e2e-test/custom-route-timeout-pd-test/v1/completions' [e2e-llm-inference-service] [e2e-llm-inference-service] def post_with_retry( [e2e-llm-inference-service] url: str, [e2e-llm-inference-service] *, [e2e-llm-inference-service] headers: Dict = None, [e2e-llm-inference-service] json_data: Union[Dict, List] = None, [e2e-llm-inference-service] data: Union[str, bytes] = None, [e2e-llm-inference-service] stream: bool = False, [e2e-llm-inference-service] timeout: float = None, [e2e-llm-inference-service] total_retries: int = DEFAULT_RETRY_TOTAL, [e2e-llm-inference-service] backoff_factor: float = DEFAULT_RETRY_BACKOFF_FACTOR, [e2e-llm-inference-service] retry_status_codes=DEFAULT_RETRY_STATUS_CODES, [e2e-llm-inference-service] ) -> requests.Response: [e2e-llm-inference-service] """ [e2e-llm-inference-service] Send POST request with retries for transient HTTP and network failures. [e2e-llm-inference-service] """ [e2e-llm-inference-service] if json_data is not None and data is not None: [e2e-llm-inference-service] raise ValueError("Only one of json_data or data can be provided.") [e2e-llm-inference-service] [e2e-llm-inference-service] with _retry_session( [e2e-llm-inference-service] ["POST"], total_retries, backoff_factor, retry_status_codes [e2e-llm-inference-service] ) as session: [e2e-llm-inference-service] > return session.post( [e2e-llm-inference-service] url, [e2e-llm-inference-service] json=json_data, [e2e-llm-inference-service] data=data, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] stream=stream, [e2e-llm-inference-service] timeout=timeout, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] common/http_retry.py:70: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] url = 'http://abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com/kserve-ci-e2e-test/custom-route-timeout-pd-test/v1/completions' [e2e-llm-inference-service] data = None [e2e-llm-inference-service] json = {'max_tokens': 20, 'model': 'facebook/opt-125m', 'prompt': 'You are an expert in Kubernetes-native machine learning se...multi-model serving. Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.'} [e2e-llm-inference-service] kwargs = {'headers': {'Content-Type': 'application/json'}, 'stream': False, 'timeout': 60} [e2e-llm-inference-service] [e2e-llm-inference-service] def post(self, url, data=None, json=None, **kwargs): [e2e-llm-inference-service] r"""Sends a POST request. Returns :class:`Response` object. [e2e-llm-inference-service] [e2e-llm-inference-service] :param url: URL for the new :class:`Request` object. [e2e-llm-inference-service] :param data: (optional) Dictionary, list of tuples, bytes, or file-like [e2e-llm-inference-service] object to send in the body of the :class:`Request`. [e2e-llm-inference-service] :param json: (optional) json to send in the body of the :class:`Request`. [e2e-llm-inference-service] :param \*\*kwargs: Optional arguments that ``request`` takes. [e2e-llm-inference-service] :rtype: requests.Response [e2e-llm-inference-service] """ [e2e-llm-inference-service] [e2e-llm-inference-service] > return self.request("POST", url, data=data, json=json, **kwargs) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/requests/sessions.py:637: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = , method = 'POST' [e2e-llm-inference-service] url = 'http://abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com/kserve-ci-e2e-test/custom-route-timeout-pd-test/v1/completions' [e2e-llm-inference-service] params = None, data = None, headers = {'Content-Type': 'application/json'} [e2e-llm-inference-service] cookies = None, files = None, auth = None, timeout = 60, allow_redirects = True [e2e-llm-inference-service] proxies = {}, hooks = None, stream = False, verify = None, cert = None [e2e-llm-inference-service] json = {'max_tokens': 20, 'model': 'facebook/opt-125m', 'prompt': 'You are an expert in Kubernetes-native machine learning se...multi-model serving. Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.'} [e2e-llm-inference-service] [e2e-llm-inference-service] def request( [e2e-llm-inference-service] self, [e2e-llm-inference-service] method, [e2e-llm-inference-service] url, [e2e-llm-inference-service] params=None, [e2e-llm-inference-service] data=None, [e2e-llm-inference-service] headers=None, [e2e-llm-inference-service] cookies=None, [e2e-llm-inference-service] files=None, [e2e-llm-inference-service] auth=None, [e2e-llm-inference-service] timeout=None, [e2e-llm-inference-service] allow_redirects=True, [e2e-llm-inference-service] proxies=None, [e2e-llm-inference-service] hooks=None, [e2e-llm-inference-service] stream=None, [e2e-llm-inference-service] verify=None, [e2e-llm-inference-service] cert=None, [e2e-llm-inference-service] json=None, [e2e-llm-inference-service] ): [e2e-llm-inference-service] """Constructs a :class:`Request `, prepares it and sends it. [e2e-llm-inference-service] Returns :class:`Response ` object. [e2e-llm-inference-service] [e2e-llm-inference-service] :param method: method for the new :class:`Request` object. [e2e-llm-inference-service] :param url: URL for the new :class:`Request` object. [e2e-llm-inference-service] :param params: (optional) Dictionary or bytes to be sent in the query [e2e-llm-inference-service] string for the :class:`Request`. [e2e-llm-inference-service] :param data: (optional) Dictionary, list of tuples, bytes, or file-like [e2e-llm-inference-service] object to send in the body of the :class:`Request`. [e2e-llm-inference-service] :param json: (optional) json to send in the body of the [e2e-llm-inference-service] :class:`Request`. [e2e-llm-inference-service] :param headers: (optional) Dictionary of HTTP Headers to send with the [e2e-llm-inference-service] :class:`Request`. [e2e-llm-inference-service] :param cookies: (optional) Dict or CookieJar object to send with the [e2e-llm-inference-service] :class:`Request`. [e2e-llm-inference-service] :param files: (optional) Dictionary of ``'filename': file-like-objects`` [e2e-llm-inference-service] for multipart encoding upload. [e2e-llm-inference-service] :param auth: (optional) Auth tuple or callable to enable [e2e-llm-inference-service] Basic/Digest/Custom HTTP Auth. [e2e-llm-inference-service] :param timeout: (optional) How long to wait for the server to send [e2e-llm-inference-service] data before giving up, as a float, or a :ref:`(connect timeout, [e2e-llm-inference-service] read timeout) ` tuple. [e2e-llm-inference-service] :type timeout: float or tuple [e2e-llm-inference-service] :param allow_redirects: (optional) Set to True by default. [e2e-llm-inference-service] :type allow_redirects: bool [e2e-llm-inference-service] :param proxies: (optional) Dictionary mapping protocol or protocol and [e2e-llm-inference-service] hostname to the URL of the proxy. [e2e-llm-inference-service] :param hooks: (optional) Dictionary mapping hook name to one event or [e2e-llm-inference-service] list of events, event must be callable. [e2e-llm-inference-service] :param stream: (optional) whether to immediately download the response [e2e-llm-inference-service] content. Defaults to ``False``. [e2e-llm-inference-service] :param verify: (optional) Either a boolean, in which case it controls whether we verify [e2e-llm-inference-service] the server's TLS certificate, or a string, in which case it must be a path [e2e-llm-inference-service] to a CA bundle to use. Defaults to ``True``. When set to [e2e-llm-inference-service] ``False``, requests will accept any TLS certificate presented by [e2e-llm-inference-service] the server, and will ignore hostname mismatches and/or expired [e2e-llm-inference-service] certificates, which will make your application vulnerable to [e2e-llm-inference-service] man-in-the-middle (MitM) attacks. Setting verify to ``False`` [e2e-llm-inference-service] may be useful during local development or testing. [e2e-llm-inference-service] :param cert: (optional) if String, path to ssl client cert file (.pem). [e2e-llm-inference-service] If Tuple, ('cert', 'key') pair. [e2e-llm-inference-service] :rtype: requests.Response [e2e-llm-inference-service] """ [e2e-llm-inference-service] # Create the Request. [e2e-llm-inference-service] req = Request( [e2e-llm-inference-service] method=method.upper(), [e2e-llm-inference-service] url=url, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] files=files, [e2e-llm-inference-service] data=data or {}, [e2e-llm-inference-service] json=json, [e2e-llm-inference-service] params=params or {}, [e2e-llm-inference-service] auth=auth, [e2e-llm-inference-service] cookies=cookies, [e2e-llm-inference-service] hooks=hooks, [e2e-llm-inference-service] ) [e2e-llm-inference-service] prep = self.prepare_request(req) [e2e-llm-inference-service] [e2e-llm-inference-service] proxies = proxies or {} [e2e-llm-inference-service] [e2e-llm-inference-service] settings = self.merge_environment_settings( [e2e-llm-inference-service] prep.url, proxies, stream, verify, cert [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] # Send the request. [e2e-llm-inference-service] send_kwargs = { [e2e-llm-inference-service] "timeout": timeout, [e2e-llm-inference-service] "allow_redirects": allow_redirects, [e2e-llm-inference-service] } [e2e-llm-inference-service] send_kwargs.update(settings) [e2e-llm-inference-service] > resp = self.send(prep, **send_kwargs) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/requests/sessions.py:589: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] request = [e2e-llm-inference-service] kwargs = {'cert': None, 'proxies': OrderedDict(), 'stream': False, 'timeout': 60, ...} [e2e-llm-inference-service] allow_redirects = True, stream = False, hooks = {'response': []} [e2e-llm-inference-service] adapter = [e2e-llm-inference-service] start = 1783440331.658404 [e2e-llm-inference-service] [e2e-llm-inference-service] def send(self, request, **kwargs): [e2e-llm-inference-service] """Send a given PreparedRequest. [e2e-llm-inference-service] [e2e-llm-inference-service] :rtype: requests.Response [e2e-llm-inference-service] """ [e2e-llm-inference-service] # Set defaults that the hooks can utilize to ensure they always have [e2e-llm-inference-service] # the correct parameters to reproduce the previous request. [e2e-llm-inference-service] kwargs.setdefault("stream", self.stream) [e2e-llm-inference-service] kwargs.setdefault("verify", self.verify) [e2e-llm-inference-service] kwargs.setdefault("cert", self.cert) [e2e-llm-inference-service] if "proxies" not in kwargs: [e2e-llm-inference-service] kwargs["proxies"] = resolve_proxies(request, self.proxies, self.trust_env) [e2e-llm-inference-service] [e2e-llm-inference-service] # It's possible that users might accidentally send a Request object. [e2e-llm-inference-service] # Guard against that specific failure case. [e2e-llm-inference-service] if isinstance(request, Request): [e2e-llm-inference-service] raise ValueError("You can only send PreparedRequests.") [e2e-llm-inference-service] [e2e-llm-inference-service] # Set up variables needed for resolve_redirects and dispatching of hooks [e2e-llm-inference-service] allow_redirects = kwargs.pop("allow_redirects", True) [e2e-llm-inference-service] stream = kwargs.get("stream") [e2e-llm-inference-service] hooks = request.hooks [e2e-llm-inference-service] [e2e-llm-inference-service] # Get the appropriate adapter to use [e2e-llm-inference-service] adapter = self.get_adapter(url=request.url) [e2e-llm-inference-service] [e2e-llm-inference-service] # Start time (approximately) of the request [e2e-llm-inference-service] start = preferred_clock() [e2e-llm-inference-service] [e2e-llm-inference-service] # Send the request [e2e-llm-inference-service] > r = adapter.send(request, **kwargs) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/requests/sessions.py:703: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] self = [e2e-llm-inference-service] request = , stream = False [e2e-llm-inference-service] timeout = Timeout(connect=60, read=60, total=None), verify = '/tmp/ca.crt' [e2e-llm-inference-service] cert = None, proxies = OrderedDict() [e2e-llm-inference-service] [e2e-llm-inference-service] def send( [e2e-llm-inference-service] self, request, stream=False, timeout=None, verify=True, cert=None, proxies=None [e2e-llm-inference-service] ): [e2e-llm-inference-service] """Sends PreparedRequest object. Returns Response object. [e2e-llm-inference-service] [e2e-llm-inference-service] :param request: The :class:`PreparedRequest ` being sent. [e2e-llm-inference-service] :param stream: (optional) Whether to stream the request content. [e2e-llm-inference-service] :param timeout: (optional) How long to wait for the server to send [e2e-llm-inference-service] data before giving up, as a float, or a :ref:`(connect timeout, [e2e-llm-inference-service] read timeout) ` tuple. [e2e-llm-inference-service] :type timeout: float or tuple or urllib3 Timeout object [e2e-llm-inference-service] :param verify: (optional) Either a boolean, in which case it controls whether [e2e-llm-inference-service] we verify the server's TLS certificate, or a string, in which case it [e2e-llm-inference-service] must be a path to a CA bundle to use [e2e-llm-inference-service] :param cert: (optional) Any user-provided SSL certificate to be trusted. [e2e-llm-inference-service] :param proxies: (optional) The proxies dictionary to apply to the request. [e2e-llm-inference-service] :rtype: requests.Response [e2e-llm-inference-service] """ [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] conn = self.get_connection_with_tls_context( [e2e-llm-inference-service] request, verify, proxies=proxies, cert=cert [e2e-llm-inference-service] ) [e2e-llm-inference-service] except LocationValueError as e: [e2e-llm-inference-service] raise InvalidURL(e, request=request) [e2e-llm-inference-service] [e2e-llm-inference-service] self.cert_verify(conn, request.url, verify, cert) [e2e-llm-inference-service] url = self.request_url(request, proxies) [e2e-llm-inference-service] self.add_headers( [e2e-llm-inference-service] request, [e2e-llm-inference-service] stream=stream, [e2e-llm-inference-service] timeout=timeout, [e2e-llm-inference-service] verify=verify, [e2e-llm-inference-service] cert=cert, [e2e-llm-inference-service] proxies=proxies, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] chunked = not (request.body is None or "Content-Length" in request.headers) [e2e-llm-inference-service] [e2e-llm-inference-service] if isinstance(timeout, tuple): [e2e-llm-inference-service] try: [e2e-llm-inference-service] connect, read = timeout [e2e-llm-inference-service] timeout = TimeoutSauce(connect=connect, read=read) [e2e-llm-inference-service] except ValueError: [e2e-llm-inference-service] raise ValueError( [e2e-llm-inference-service] f"Invalid timeout {timeout}. Pass a (connect, read) timeout tuple, " [e2e-llm-inference-service] f"or a single float to set both timeouts to the same value." [e2e-llm-inference-service] ) [e2e-llm-inference-service] elif isinstance(timeout, TimeoutSauce): [e2e-llm-inference-service] pass [e2e-llm-inference-service] else: [e2e-llm-inference-service] timeout = TimeoutSauce(connect=timeout, read=timeout) [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] resp = conn.urlopen( [e2e-llm-inference-service] method=request.method, [e2e-llm-inference-service] url=url, [e2e-llm-inference-service] body=request.body, [e2e-llm-inference-service] headers=request.headers, [e2e-llm-inference-service] redirect=False, [e2e-llm-inference-service] assert_same_host=False, [e2e-llm-inference-service] preload_content=False, [e2e-llm-inference-service] decode_content=False, [e2e-llm-inference-service] retries=self.max_retries, [e2e-llm-inference-service] timeout=timeout, [e2e-llm-inference-service] chunked=chunked, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] except (ProtocolError, OSError) as err: [e2e-llm-inference-service] raise ConnectionError(err, request=request) [e2e-llm-inference-service] [e2e-llm-inference-service] except MaxRetryError as e: [e2e-llm-inference-service] if isinstance(e.reason, ConnectTimeoutError): [e2e-llm-inference-service] # TODO: Remove this in 3.0.0: see #2811 [e2e-llm-inference-service] if not isinstance(e.reason, NewConnectionError): [e2e-llm-inference-service] raise ConnectTimeout(e, request=request) [e2e-llm-inference-service] [e2e-llm-inference-service] if isinstance(e.reason, ResponseError): [e2e-llm-inference-service] raise RetryError(e, request=request) [e2e-llm-inference-service] [e2e-llm-inference-service] if isinstance(e.reason, _ProxyError): [e2e-llm-inference-service] raise ProxyError(e, request=request) [e2e-llm-inference-service] [e2e-llm-inference-service] if isinstance(e.reason, _SSLError): [e2e-llm-inference-service] # This branch is for urllib3 v1.22 and later. [e2e-llm-inference-service] raise SSLError(e, request=request) [e2e-llm-inference-service] [e2e-llm-inference-service] > raise ConnectionError(e, request=request) [e2e-llm-inference-service] E requests.exceptions.ConnectionError: HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Max retries exceeded with url: /kserve-ci-e2e-test/custom-route-timeout-pd-test/v1/completions (Caused by ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")) [e2e-llm-inference-service] [e2e-llm-inference-service] ../../python/kserve/.venv/lib64/python3.11/site-packages/requests/adapters.py:700: ConnectionError [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-custom-route-timeout-pd', 'scheduler-managed', 'workload-pd-cpu', 'model-fb-opt-125m'], pr... {'name': 'model-fb-opt-125m-custom-route-e92a9ea6'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m') [e2e-llm-inference-service] [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] @pytest.mark.asyncio(loop_scope="session") [e2e-llm-inference-service] @pytest.mark.parametrize( [e2e-llm-inference-service] "test_case", [e2e-llm-inference-service] [ [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-with-gateway-ref", [e2e-llm-inference-service] "router-with-managed-route", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/completions", [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=create_response_assertion(with_field="choices"), [e2e-llm-inference-service] expected_gateway=ROUTER_GATEWAYS[0], [e2e-llm-inference-service] before_test=[ [e2e-llm-inference-service] lambda: create_router_resources( [e2e-llm-inference-service] gateways=[ROUTER_GATEWAYS[0]], [e2e-llm-inference-service] ) [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] pytest.mark.custom_gateway, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-custom-route-timeout", [e2e-llm-inference-service] "scheduler-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="custom-route-timeout-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-with-refs", [e2e-llm-inference-service] "scheduler-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="router-with-refs-test", [e2e-llm-inference-service] expected_gateway=ROUTER_GATEWAYS[0], [e2e-llm-inference-service] before_test=[ [e2e-llm-inference-service] lambda: create_router_resources( [e2e-llm-inference-service] gateways=[ROUTER_GATEWAYS[0]], [e2e-llm-inference-service] routes=[ROUTER_ROUTES[0], ROUTER_ROUTES[1]], [e2e-llm-inference-service] ) [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.custom_gateway, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=["router-managed", "workload-pd-cpu", "model-fb-opt-125m"], [e2e-llm-inference-service] prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. " [e2e-llm-inference-service] "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. " [e2e-llm-inference-service] "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-custom-route-timeout-pd", [e2e-llm-inference-service] "scheduler-managed", [e2e-llm-inference-service] "workload-pd-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. " [e2e-llm-inference-service] "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. " [e2e-llm-inference-service] "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.", [e2e-llm-inference-service] service_name="custom-route-timeout-pd-test", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-with-refs-pd", [e2e-llm-inference-service] "scheduler-managed", [e2e-llm-inference-service] "workload-pd-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. " [e2e-llm-inference-service] "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. " [e2e-llm-inference-service] "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.", [e2e-llm-inference-service] service_name="router-with-refs-pd-test", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] expected_gateway=ROUTER_GATEWAYS[1], [e2e-llm-inference-service] before_test=[ [e2e-llm-inference-service] lambda: create_router_resources( [e2e-llm-inference-service] gateways=[ROUTER_GATEWAYS[1]], [e2e-llm-inference-service] routes=[ROUTER_ROUTES[2], ROUTER_ROUTES[3]], [e2e-llm-inference-service] ) [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.custom_gateway, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-dp-ep-gpu", [e2e-llm-inference-service] "workload-dp-ep-prefill-gpu", [e2e-llm-inference-service] "model-deepseek-v2-lite", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="Delve into the multifaceted implications of a fully disaggregated cloud architecture, specifically " [e2e-llm-inference-service] "where the compute plane (P) and the data plane (D) are independently deployed and managed for a " [e2e-llm-inference-service] "geographically distributed, high-throughput, low-latency microservices ecosystem. Beyond the " [e2e-llm-inference-service] "fundamental challenges of network latency and data consistency, elaborate on the advanced " [e2e-llm-inference-service] "considerations and trade-offs inherent in such a setup: 1. Network Architecture and Protocols: " [e2e-llm-inference-service] "How would the network fabric and underlying protocols (e.g., RDMA, custom transport layers) need to " [e2e-llm-inference-service] "evolve to support optimal performance and minimize inter-plane communication overhead, especially for " [e2e-llm-inference-service] "synchronous operations? Discuss the role of network programmability (e.g., SDN, P4) in dynamically " [e2e-llm-inference-service] "optimizing routing and traffic flow between P and D. 2. Advanced Data Consistency and Durability: " [e2e-llm-inference-service] "Explore sophisticated data consistency models (e.g., causal consistency, strong eventual consistency) " [e2e-llm-inference-service] "and their applicability in balancing performance and data integrity across a globally distributed data plane. " [e2e-llm-inference-service] "Detail strategies for ensuring data durability and fault tolerance, including multi-region replication, " [e2e-llm-inference-service] "intelligent partitioning, and recovery mechanisms in the event of partial or full plane failures. " [e2e-llm-inference-service] "3. Dynamic Resource Orchestration and Cost Optimization: Analyze how an orchestration layer would intelligently " [e2e-llm-inference-service] "manage the independent scaling of compute (P) and data (D) resources, considering fluctuating workloads, " [e2e-llm-inference-service] "cost efficiency, and performance targets (e.g., using predictive analytics for resource provisioning). " [e2e-llm-inference-service] "Discuss mechanisms for dynamically reallocating compute nodes to different data partitions based on " [e2e-llm-inference-service] "workload patterns and data locality, potentially involving live migration strategies. " [e2e-llm-inference-service] "4. Security and Compliance in a Distributed Landscape: Address the enhanced security perimeter " [e2e-llm-inference-service] "challenges, including securing communication channels between P and D (encryption in transit, mutual TLS), " [e2e-llm-inference-service] "fine-grained access control to data at rest and in motion, and identity management across disaggregated " [e2e-llm-inference-service] "components. Discuss how such an architecture impacts compliance with regulatory frameworks (e.g., GDPR, HIPAA) " [e2e-llm-inference-service] "concerning data sovereignty, privacy, and auditability. 5. Operational Complexity and Observability: " [e2e-llm-inference-service] "Examine the increased complexity in monitoring, logging, and tracing across highly decoupled compute and " [e2e-llm-inference-service] "data planes. What specialized tooling and practices (e.g., distributed tracing with OpenTelemetry, advanced AIOps) " [e2e-llm-inference-service] "would be essential? How would incident response and troubleshooting differ in this disaggregated environment " [e2e-llm-inference-service] "compared to traditional integrated systems? Consider the challenges of pinpointing root causes across " [e2e-llm-inference-service] "independent failures. 6. Real-world Applicability and Future Trends: Identify specific industries " [e2e-llm-inference-service] "or use cases (e.g., high-frequency trading, IoT edge processing, large language model inference) " [e2e-llm-inference-service] "where the benefits of P/D disaggregation would strongly outweigh its complexities. " [e2e-llm-inference-service] "Conclude by speculating on emerging technologies or paradigms (e.g., serverless compute functions " [e2e-llm-inference-service] "directly interacting with object storage, in-memory disaggregation) that could further drive or " [e2e-llm-inference-service] "transform P/D disaggregation in cloud computing.", [e2e-llm-inference-service] max_tokens=2000, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_gpu, [e2e-llm-inference-service] pytest.mark.cluster_nvidia, [e2e-llm-inference-service] pytest.mark.cluster_nvidia_roce, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-no-scheduler", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="What is KServe?", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.no_scheduler, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-simulated-dp-ep-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="This test simulates DP+EP that can run on CPU, the idea is to test the LWS-based deployment, " [e2e-llm-inference-service] "but without the resources requirements for DP+EP (GPUs and ROCe/IB).", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_multi_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Scheduler config tests [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-inline-config", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-inline-config-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Chat completions endpoint coverage [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] "model-qwen2.5-0.5b", [e2e-llm-inference-service] ], [e2e-llm-inference-service] model_name="Qwen/Qwen2.5-0.5B-Instruct", [e2e-llm-inference-service] endpoint="/v1/chat/completions", [e2e-llm-inference-service] prompt="What is KServe?", [e2e-llm-inference-service] payload_formatter=chat_completions_payload, [e2e-llm-inference-service] response_assertion=create_response_assertion(with_field="choices"), [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-configmap-ref", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-configmap-ref-test", [e2e-llm-inference-service] before_test=[create_scheduler_configmap], [e2e-llm-inference-service] after_test=[delete_scheduler_configmap], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-replicas", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-ha-replicas-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-custom-template", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-custom-template-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Scheduler v0.6 → v0.7 migration tests. [e2e-llm-inference-service] # Deploy v0.6-style configs and verify the controller migrates them [e2e-llm-inference-service] # so the v0.7 scheduler boots successfully. [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-v06-pd-config-migration", [e2e-llm-inference-service] "workload-llmd-simulator-pd", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-v06-pd-migration-test", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-v06-nonzero-threshold-migration", [e2e-llm-inference-service] "workload-llmd-simulator-pd", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-v06-threshold-migration-test", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Precise prefix KV cache routing test [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-precise-prefix-cache-inline-config", [e2e-llm-inference-service] "workload-llmd-simulator-kvcache", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="precise-prefix-cache-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Models endpoint coverage [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/models", [e2e-llm-inference-service] response_assertion=create_response_assertion(with_field="data"), [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Model-based routing via X-Gateway-Model-Name header — /v1/completions [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/completions", [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches("facebook/opt-125m"), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m", [e2e-llm-inference-service] }, [e2e-llm-inference-service] peers=[ [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] "model-qwen2.5-0.5b", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/completions", [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches( [e2e-llm-inference-service] "Qwen/Qwen2.5-0.5B-Instruct" [e2e-llm-inference-service] ), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/Qwen/Qwen2.5-0.5B-Instruct", [e2e-llm-inference-service] }, [e2e-llm-inference-service] ), [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] pytest.mark.model_routing, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Model-based routing via X-Gateway-Model-Name header — /v1/chat/completions [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/chat/completions", [e2e-llm-inference-service] prompt="What is KServe?", [e2e-llm-inference-service] payload_formatter=chat_completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches("facebook/opt-125m"), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m", [e2e-llm-inference-service] }, [e2e-llm-inference-service] peers=[ [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] "model-qwen2.5-0.5b", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/chat/completions", [e2e-llm-inference-service] prompt="What is KServe?", [e2e-llm-inference-service] payload_formatter=chat_completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches( [e2e-llm-inference-service] "Qwen/Qwen2.5-0.5B-Instruct" [e2e-llm-inference-service] ), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/Qwen/Qwen2.5-0.5B-Instruct", [e2e-llm-inference-service] }, [e2e-llm-inference-service] ), [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] pytest.mark.model_routing, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Model-based routing via X-Gateway-Model-Name header — LoRA adapter [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m-with-lora-hf", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/completions", [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] model_name=f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches( [e2e-llm-inference-service] f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1" [e2e-llm-inference-service] ), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1", [e2e-llm-inference-service] }, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.model_routing, [e2e-llm-inference-service] pytest.mark.lora, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Model-based routing via X-Gateway-Model-Name header — /v1/models (base + LoRA) [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m-with-lora-hf", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/models", [e2e-llm-inference-service] response_assertion=assert_models_contains( [e2e-llm-inference-service] "facebook/opt-125m", [e2e-llm-inference-service] f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m", [e2e-llm-inference-service] "lora-adapter-1", [e2e-llm-inference-service] f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1", [e2e-llm-inference-service] ), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m", [e2e-llm-inference-service] }, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.model_routing, [e2e-llm-inference-service] pytest.mark.lora, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # PVC storage tests -- validate direct PVC volume mount with real vLLM serving [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-pvc", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] before_test=[ensure_pvc_with_model], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.pvc_storage, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-pd-cpu", [e2e-llm-inference-service] "model-pvc", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] before_test=[ensure_pvc_with_model], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.pvc_storage, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-simulated-dp-ep-cpu", [e2e-llm-inference-service] "model-pvc", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] before_test=[ensure_pvc_with_model], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_multi_node, [e2e-llm-inference-service] pytest.mark.pvc_storage, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] ], [e2e-llm-inference-service] indirect=["test_case"], [e2e-llm-inference-service] ids=generate_test_id, [e2e-llm-inference-service] ) [e2e-llm-inference-service] @log_execution [e2e-llm-inference-service] def test_llm_inference_service(test_case: TestCase): # noqa: F811 [e2e-llm-inference-service] inject_k8s_proxy() [e2e-llm-inference-service] [e2e-llm-inference-service] kserve_client = KServeClient( [e2e-llm-inference-service] config_file=os.environ.get("KUBECONFIG", "~/.kube/config"), [e2e-llm-inference-service] client_configuration=client.Configuration(), [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] service_name = test_case.llm_service.metadata.name [e2e-llm-inference-service] if not test_case.llm_service.metadata.annotations: [e2e-llm-inference-service] test_case.llm_service.metadata.annotations = {} [e2e-llm-inference-service] [e2e-llm-inference-service] test_case.llm_service.metadata.annotations[ [e2e-llm-inference-service] "security.opendatahub.io/enable-auth" [e2e-llm-inference-service] ] = "false" [e2e-llm-inference-service] prefix = test_case.log_prefix [e2e-llm-inference-service] [e2e-llm-inference-service] test_failed = False [e2e-llm-inference-service] try: [e2e-llm-inference-service] print(f"{prefix} Creating LLMInferenceService {service_name}") [e2e-llm-inference-service] create_llmisvc(kserve_client, test_case.llm_service) [e2e-llm-inference-service] print(f"{prefix} Waiting for LLMInferenceService {service_name} to be ready") [e2e-llm-inference-service] wait_for_llm_isvc_ready( [e2e-llm-inference-service] kserve_client, test_case.llm_service, test_case.wait_timeout [e2e-llm-inference-service] ) [e2e-llm-inference-service] print(f"{prefix} Waiting for model response from {service_name}") [e2e-llm-inference-service] > wait_for_model_response( [e2e-llm-inference-service] kserve_client, [e2e-llm-inference-service] test_case, [e2e-llm-inference-service] test_case.wait_timeout, [e2e-llm-inference-service] extra_headers=test_case.extra_headers, [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:816: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] args = (, TestCase(base_refs=['router-custom-route-timeout-pd... {'name': 'model-fb-opt-125m-custom-route-e92a9ea6'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m'), 900) [e2e-llm-inference-service] kwargs = {'extra_headers': None}, func_name = 'wait_for_model_response' [e2e-llm-inference-service] timestamp_start = '2026-07-07T16:05:31.647773', start_time = 1783440331.6480474 [e2e-llm-inference-service] duration = 904.6738514900208, timestamp_end = '2026-07-07T16:20:36.321901' [e2e-llm-inference-service] [e2e-llm-inference-service] @functools.wraps(func) [e2e-llm-inference-service] def wrapper(*args, **kwargs): [e2e-llm-inference-service] func_name = func.__name__ [e2e-llm-inference-service] [e2e-llm-inference-service] timestamp_start = datetime.now().isoformat() [e2e-llm-inference-service] logger.info( [e2e-llm-inference-service] f"[{func_name}] [{timestamp_start}] start - args={args}, kwargs={kwargs}" [e2e-llm-inference-service] ) [e2e-llm-inference-service] start_time = time.time() [e2e-llm-inference-service] [e2e-llm-inference-service] try: [e2e-llm-inference-service] > result = func(*args, **kwargs) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/logging.py:40: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] kserve_client = [e2e-llm-inference-service] test_case = TestCase(base_refs=['router-custom-route-timeout-pd', 'scheduler-managed', 'workload-pd-cpu', 'model-fb-opt-125m'], pr... {'name': 'model-fb-opt-125m-custom-route-e92a9ea6'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m') [e2e-llm-inference-service] timeout_seconds = 900, extra_headers = None [e2e-llm-inference-service] [e2e-llm-inference-service] @log_execution [e2e-llm-inference-service] def wait_for_model_response( [e2e-llm-inference-service] kserve_client: KServeClient, [e2e-llm-inference-service] test_case: TestCase, # noqa: F811 [e2e-llm-inference-service] timeout_seconds: int = 900, [e2e-llm-inference-service] extra_headers: Optional[Dict[str, str]] = None, [e2e-llm-inference-service] ) -> str: [e2e-llm-inference-service] def get_successful_response(): [e2e-llm-inference-service] try: [e2e-llm-inference-service] if test_case.url_getter: [e2e-llm-inference-service] service_url = test_case.url_getter(kserve_client, test_case.llm_service) [e2e-llm-inference-service] else: [e2e-llm-inference-service] service_url = get_llm_service_url(kserve_client, test_case.llm_service) [e2e-llm-inference-service] except Exception as e: [e2e-llm-inference-service] raise AssertionError(f"❌ Failed to get service URL: {e}") from e [e2e-llm-inference-service] [e2e-llm-inference-service] model_url = service_url + test_case.endpoint [e2e-llm-inference-service] [e2e-llm-inference-service] headers = {"Content-Type": "application/json"} [e2e-llm-inference-service] if extra_headers: [e2e-llm-inference-service] headers.update(extra_headers) [e2e-llm-inference-service] [e2e-llm-inference-service] if test_case.payload_formatter is not None: [e2e-llm-inference-service] test_payload = test_case.payload_formatter(test_case) [e2e-llm-inference-service] elif test_case.prompt is not None: [e2e-llm-inference-service] test_payload = { [e2e-llm-inference-service] "model": test_case.model_name [e2e-llm-inference-service] if not extra_headers or MODEL_ROUTING_HEADER not in extra_headers [e2e-llm-inference-service] else extra_headers[MODEL_ROUTING_HEADER], [e2e-llm-inference-service] "prompt": test_case.prompt, [e2e-llm-inference-service] "max_tokens": test_case.max_tokens, [e2e-llm-inference-service] } [e2e-llm-inference-service] else: [e2e-llm-inference-service] test_payload = None [e2e-llm-inference-service] [e2e-llm-inference-service] logger.info(f"Calling LLM service at {model_url} with payload {test_payload}") [e2e-llm-inference-service] try: [e2e-llm-inference-service] if test_payload is not None: [e2e-llm-inference-service] response = post_with_retry( [e2e-llm-inference-service] model_url, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] json_data=test_payload, [e2e-llm-inference-service] timeout=test_case.response_timeout, [e2e-llm-inference-service] ) [e2e-llm-inference-service] else: [e2e-llm-inference-service] response = get_with_retry( [e2e-llm-inference-service] model_url, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] timeout=test_case.response_timeout, [e2e-llm-inference-service] ) [e2e-llm-inference-service] except Exception as e: [e2e-llm-inference-service] logger.error(f"❌ Failed to call model: {e}") [e2e-llm-inference-service] raise AssertionError(f"❌ Failed to call model: {e}") from e [e2e-llm-inference-service] [e2e-llm-inference-service] logger.info(f"Model response is {response.status_code}: {response.text[:500]}") [e2e-llm-inference-service] [e2e-llm-inference-service] if 200 <= response.status_code < 300: [e2e-llm-inference-service] return response [e2e-llm-inference-service] raise AssertionError( [e2e-llm-inference-service] f"Service returned {response.status_code}: {response.text}" [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] > response = wait_for(get_successful_response, timeout=timeout_seconds, interval=5.0) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:1119: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] assertion_fn = .get_successful_response at 0x7f43bf0fede0> [e2e-llm-inference-service] timeout = 900, interval = 5.0 [e2e-llm-inference-service] [e2e-llm-inference-service] def wait_for( [e2e-llm-inference-service] assertion_fn: Callable[[], Any], timeout: float = 5.0, interval: float = 0.1 [e2e-llm-inference-service] ) -> Any: [e2e-llm-inference-service] """Wait for the assertion to succeed within timeout.""" [e2e-llm-inference-service] deadline = time.time() + timeout [e2e-llm-inference-service] last_msg = None [e2e-llm-inference-service] while True: [e2e-llm-inference-service] try: [e2e-llm-inference-service] > return assertion_fn() [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:1215: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] def get_successful_response(): [e2e-llm-inference-service] try: [e2e-llm-inference-service] if test_case.url_getter: [e2e-llm-inference-service] service_url = test_case.url_getter(kserve_client, test_case.llm_service) [e2e-llm-inference-service] else: [e2e-llm-inference-service] service_url = get_llm_service_url(kserve_client, test_case.llm_service) [e2e-llm-inference-service] except Exception as e: [e2e-llm-inference-service] raise AssertionError(f"❌ Failed to get service URL: {e}") from e [e2e-llm-inference-service] [e2e-llm-inference-service] model_url = service_url + test_case.endpoint [e2e-llm-inference-service] [e2e-llm-inference-service] headers = {"Content-Type": "application/json"} [e2e-llm-inference-service] if extra_headers: [e2e-llm-inference-service] headers.update(extra_headers) [e2e-llm-inference-service] [e2e-llm-inference-service] if test_case.payload_formatter is not None: [e2e-llm-inference-service] test_payload = test_case.payload_formatter(test_case) [e2e-llm-inference-service] elif test_case.prompt is not None: [e2e-llm-inference-service] test_payload = { [e2e-llm-inference-service] "model": test_case.model_name [e2e-llm-inference-service] if not extra_headers or MODEL_ROUTING_HEADER not in extra_headers [e2e-llm-inference-service] else extra_headers[MODEL_ROUTING_HEADER], [e2e-llm-inference-service] "prompt": test_case.prompt, [e2e-llm-inference-service] "max_tokens": test_case.max_tokens, [e2e-llm-inference-service] } [e2e-llm-inference-service] else: [e2e-llm-inference-service] test_payload = None [e2e-llm-inference-service] [e2e-llm-inference-service] logger.info(f"Calling LLM service at {model_url} with payload {test_payload}") [e2e-llm-inference-service] try: [e2e-llm-inference-service] if test_payload is not None: [e2e-llm-inference-service] response = post_with_retry( [e2e-llm-inference-service] model_url, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] json_data=test_payload, [e2e-llm-inference-service] timeout=test_case.response_timeout, [e2e-llm-inference-service] ) [e2e-llm-inference-service] else: [e2e-llm-inference-service] response = get_with_retry( [e2e-llm-inference-service] model_url, [e2e-llm-inference-service] headers=headers, [e2e-llm-inference-service] timeout=test_case.response_timeout, [e2e-llm-inference-service] ) [e2e-llm-inference-service] except Exception as e: [e2e-llm-inference-service] logger.error(f"❌ Failed to call model: {e}") [e2e-llm-inference-service] > raise AssertionError(f"❌ Failed to call model: {e}") from e [e2e-llm-inference-service] E AssertionError: ❌ Failed to call model: HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Max retries exceeded with url: /kserve-ci-e2e-test/custom-route-timeout-pd-test/v1/completions (Caused by ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:1109: AssertionError [e2e-llm-inference-service] ------------------------------ Captured log setup ------------------------------ [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1637 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1586 Checking LLMInferenceServiceConfig router-custom-route-timeout-pd-8b408578 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1612 Resource not found, creating LLMInferenceServiceConfig router-custom-route-timeout-pd-8b408578 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1622 ✓ Successfully created LLMInferenceServiceConfig router-custom-route-timeout-pd-8b408578 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1586 Checking LLMInferenceServiceConfig scheduler-managed-custom-route-35ef63b2 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1612 Resource not found, creating LLMInferenceServiceConfig scheduler-managed-custom-route-35ef63b2 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1622 ✓ Successfully created LLMInferenceServiceConfig scheduler-managed-custom-route-35ef63b2 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1586 Checking LLMInferenceServiceConfig workload-pd-cpu-custom-route-ti-2766b49d in namespace kserve-ci-e2e-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1612 Resource not found, creating LLMInferenceServiceConfig workload-pd-cpu-custom-route-ti-2766b49d [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1622 ✓ Successfully created LLMInferenceServiceConfig workload-pd-cpu-custom-route-ti-2766b49d [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1586 Checking LLMInferenceServiceConfig model-fb-opt-125m-custom-route-e92a9ea6 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1612 Resource not found, creating LLMInferenceServiceConfig model-fb-opt-125m-custom-route-e92a9ea6 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1622 ✓ Successfully created LLMInferenceServiceConfig model-fb-opt-125m-custom-route-e92a9ea6 [e2e-llm-inference-service] ------------------------------ Captured log call ------------------------------- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [test_llm_inference_service] [2026-07-07T16:00:43.690305] start - args=(), kwargs={'test_case': TestCase(base_refs=['router-custom-route-timeout-pd', 'scheduler-managed', 'workload-pd-cpu', 'model-fb-opt-125m'], prompt='You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.', service_name='custom-route-timeout-pd-test', endpoint='/v1/completions', max_tokens=20, payload_formatter=None, response_assertion=, wait_timeout=900, response_timeout=60, extra_headers=None, url_getter=None, expected_gateway=None, before_test=[], after_test=[], peers=[], llm_service={'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': None, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'custom-route-timeout-pd-test', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-custom-route-timeout-pd-8b408578'}, [e2e-llm-inference-service] {'name': 'scheduler-managed-custom-route-35ef63b2'}, [e2e-llm-inference-service] {'name': 'workload-pd-cpu-custom-route-ti-2766b49d'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-custom-route-e92a9ea6'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m')} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1637 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [create_llmisvc] [2026-07-07T16:00:43.703453] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'custom-route-timeout-pd-test', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-custom-route-timeout-pd-8b408578'}, [e2e-llm-inference-service] {'name': 'scheduler-managed-custom-route-35ef63b2'}, [e2e-llm-inference-service] {'name': 'workload-pd-cpu-custom-route-ti-2766b49d'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-custom-route-e92a9ea6'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [create_llmisvc] [2026-07-07T16:00:43.796831] end - ✅ in 0.093s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [wait_for_llm_isvc_ready] [2026-07-07T16:00:43.796931] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'custom-route-timeout-pd-test', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-custom-route-timeout-pd-8b408578'}, [e2e-llm-inference-service] {'name': 'scheduler-managed-custom-route-35ef63b2'}, [e2e-llm-inference-service] {'name': 'workload-pd-cpu-custom-route-ti-2766b49d'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-custom-route-e92a9ea6'}]}, [e2e-llm-inference-service] 'status': None}, 900), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1222 Waiting: No conditions found in status [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1222 Waiting: Missing true conditions: {'Ready', 'RouterReady', 'WorkloadsReady'}, expected {'Ready', 'RouterReady', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-07T16:01:23Z', 'message': 'The following HTTPRoutes are not ready: [kserve-ci-e2e-test/custom-route-timeout-pd-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': '2026-07-07T16:01:23Z', 'message': 'Inference Pool kserve-ci-e2e-test/custom-route-timeout-pd-test-inference-pool exists but no Gateway controller has accepted it yet', 'reason': 'WaitingForGateway', 'severity': 'Info', 'status': 'False', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-07T16:01:23Z', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-07T16:01:23Z', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'PrefillWorkloadReady'}, {'lastTransitionTime': '2026-07-07T16:01:23Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-07T16:01:23Z', 'message': 'The following HTTPRoutes are not ready: [kserve-ci-e2e-test/custom-route-timeout-pd-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': '2026-07-07T16:01:23Z', 'message': 'The following HTTPRoutes are not ready: [kserve-ci-e2e-test/custom-route-timeout-pd-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': '2026-07-07T16:01:23Z', 'message': 'Deployment rollout in progress', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-07T16:01:23Z', 'reason': 'Progressing', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1222 Waiting: Missing true conditions: {'Ready', 'RouterReady', 'WorkloadsReady'}, expected {'Ready', 'RouterReady', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-07T16:01:56Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-07T16:01:56Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-07T16:01:56Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-07T16:01:56Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'PrefillWorkloadReady'}, {'lastTransitionTime': '2026-07-07T16:01:23Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-07T16:01:56Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-07T16:01:56Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-07T16:01:56Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-07T16:01:56Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1222 Waiting: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'Ready', 'RouterReady', 'WorkloadsReady'}, got [{'lastTransitionTime': '2026-07-07T16:01:56Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-07T16:01:56Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-07T16:01:56Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'MainWorkloadReady'}, {'lastTransitionTime': '2026-07-07T16:01:56Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'PrefillWorkloadReady'}, {'lastTransitionTime': '2026-07-07T16:01:23Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-07T16:01:56Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-07T16:02:00Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-07T16:02:00Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-07T16:01:56Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [wait_for_llm_isvc_ready] [2026-07-07T16:05:31.647629] end - ✅ in 287.850s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [wait_for_model_response] [2026-07-07T16:05:31.647773] start - args=(, TestCase(base_refs=['router-custom-route-timeout-pd', 'scheduler-managed', 'workload-pd-cpu', 'model-fb-opt-125m'], prompt='You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.', service_name='custom-route-timeout-pd-test', endpoint='/v1/completions', max_tokens=20, payload_formatter=None, response_assertion=, wait_timeout=900, response_timeout=60, extra_headers=None, url_getter=None, expected_gateway=None, before_test=[], after_test=[], peers=[], llm_service={'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'custom-route-timeout-pd-test', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-custom-route-timeout-pd-8b408578'}, [e2e-llm-inference-service] {'name': 'scheduler-managed-custom-route-35ef63b2'}, [e2e-llm-inference-service] {'name': 'workload-pd-cpu-custom-route-ti-2766b49d'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-custom-route-e92a9ea6'}]}, [e2e-llm-inference-service] 'status': None}, model_name='facebook/opt-125m'), 900), kwargs={'extra_headers': None} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [get_llm_service_url] [2026-07-07T16:05:31.648054] start - args=(, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': {'security.opendatahub.io/enable-auth': 'false'}, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'custom-route-timeout-pd-test', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-custom-route-timeout-pd-8b408578'}, [e2e-llm-inference-service] {'name': 'scheduler-managed-custom-route-35ef63b2'}, [e2e-llm-inference-service] {'name': 'workload-pd-cpu-custom-route-ti-2766b49d'}, [e2e-llm-inference-service] {'name': 'model-fb-opt-125m-custom-route-e92a9ea6'}]}, [e2e-llm-inference-service] 'status': None}), kwargs={} [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:43 [get_llm_service_url] [2026-07-07T16:05:31.657434] end - ✅ in 0.009s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1092 Calling LLM service at http://abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com/kserve-ci-e2e-test/custom-route-timeout-pd-test/v1/completions with payload {'model': 'facebook/opt-125m', 'prompt': 'You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.', 'max_tokens': 20} [e2e-llm-inference-service] WARNING urllib3.connectionpool:connectionpool.py:868 Retrying (Retry(total=7, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")': /kserve-ci-e2e-test/custom-route-timeout-pd-test/v1/completions [e2e-llm-inference-service] WARNING urllib3.connectionpool:connectionpool.py:868 Retrying (Retry(total=6, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")': /kserve-ci-e2e-test/custom-route-timeout-pd-test/v1/completions [e2e-llm-inference-service] WARNING urllib3.connectionpool:connectionpool.py:868 Retrying (Retry(total=5, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")': /kserve-ci-e2e-test/custom-route-timeout-pd-test/v1/completions [e2e-llm-inference-service] WARNING urllib3.connectionpool:connectionpool.py:868 Retrying (Retry(total=4, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")': /kserve-ci-e2e-test/custom-route-timeout-pd-test/v1/completions [e2e-llm-inference-service] WARNING urllib3.connectionpool:connectionpool.py:868 Retrying (Retry(total=3, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")': /kserve-ci-e2e-test/custom-route-timeout-pd-test/v1/completions [e2e-llm-inference-service] WARNING urllib3.connectionpool:connectionpool.py:868 Retrying (Retry(total=2, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")': /kserve-ci-e2e-test/custom-route-timeout-pd-test/v1/completions [e2e-llm-inference-service] WARNING urllib3.connectionpool:connectionpool.py:868 Retrying (Retry(total=1, connect=None, read=None, redirect=None, status=None)) after connection broken by 'RemoteDisconnected('Remote end closed connection without response')': /kserve-ci-e2e-test/custom-route-timeout-pd-test/v1/completions [e2e-llm-inference-service] WARNING urllib3.connectionpool:connectionpool.py:868 Retrying (Retry(total=0, connect=None, read=None, redirect=None, status=None)) after connection broken by 'ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")': /kserve-ci-e2e-test/custom-route-timeout-pd-test/v1/completions [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:test_llm_inference_service.py:1108 ❌ Failed to call model: HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Max retries exceeded with url: /kserve-ci-e2e-test/custom-route-timeout-pd-test/v1/completions (Caused by ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")) [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:test_llm_inference_service.py:1219 Timed out waiting: ❌ Failed to call model: HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Max retries exceeded with url: /kserve-ci-e2e-test/custom-route-timeout-pd-test/v1/completions (Caused by ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")) [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:logging.py:48 [wait_for_model_response] [2026-07-07T16:20:36.321901] end - ❌ 904.674s: ❌ Failed to call model: HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Max retries exceeded with url: /kserve-ci-e2e-test/custom-route-timeout-pd-test/v1/completions (Caused by ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")) [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:test_llm_inference_service.py:831 [router-custom-route-timeout-pd-scheduler-managed-workload-pd-cpu-model-fb-opt-125m] ❌ ERROR: Failed to call llm inference service custom-route-timeout-pd-test: ❌ Failed to call model: HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Max retries exceeded with url: /kserve-ci-e2e-test/custom-route-timeout-pd-test/v1/completions (Caused by ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1240 🔍 # Diagnostics for 'custom-route-timeout-pd-test' in 'kserve-ci-e2e-test' [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1241 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1242 # LLMInferenceService custom-route-timeout-pd-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1245 apiVersion: serving.kserve.io/v1alpha1 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] security.opendatahub.io/enable-auth: 'false' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:00:43Z' [e2e-llm-inference-service] finalizers: [e2e-llm-inference-service] - serving.kserve.io/llmisvc-finalizer [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:security.opendatahub.io/enable-auth: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:baseRefs: {} [e2e-llm-inference-service] manager: OpenAPI-Generator [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-07T16:00:43Z' [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:finalizers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] v:"serving.kserve.io/llmisvc-finalizer": {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-07T16:00:52Z' [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:addresses: {} [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-decode-template: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-decode-worker-data-parallel: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-prefill-template: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-prefill-worker-data-parallel: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-router-route: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-scheduler: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-template: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-tracing: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-worker-data-parallel: {} [e2e-llm-inference-service] f:appliedConfigs: {} [e2e-llm-inference-service] f:conditions: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:router: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:gateways: {} [e2e-llm-inference-service] f:scheduler: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:inferencePool: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:group: {} [e2e-llm-inference-service] f:kind: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:service: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:group: {} [e2e-llm-inference-service] f:kind: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:url: {} [e2e-llm-inference-service] f:workloads: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:prefill: {} [e2e-llm-inference-service] f:primary: {} [e2e-llm-inference-service] f:scheduler: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-07T16:05:30Z' [e2e-llm-inference-service] name: custom-route-timeout-pd-test [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] resourceVersion: '73642' [e2e-llm-inference-service] uid: ecc65483-3b96-4118-9d74-5aef82946786 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] baseRefs: [e2e-llm-inference-service] - name: router-custom-route-timeout-pd-8b408578 [e2e-llm-inference-service] - name: scheduler-managed-custom-route-35ef63b2 [e2e-llm-inference-service] - name: workload-pd-cpu-custom-route-ti-2766b49d [e2e-llm-inference-service] - name: model-fb-opt-125m-custom-route-e92a9ea6 [e2e-llm-inference-service] model: [e2e-llm-inference-service] name: custom-route-timeout-pd-test [e2e-llm-inference-service] uri: '' [e2e-llm-inference-service] status: [e2e-llm-inference-service] addresses: [e2e-llm-inference-service] - name: gateway-external [e2e-llm-inference-service] url: http://abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com/kserve-ci-e2e-test/custom-route-timeout-pd-test [e2e-llm-inference-service] - name: gateway-internal [e2e-llm-inference-service] url: http://openshift-ai-inference-openshift-default.openshift-ingress.svc.cluster.local/kserve-ci-e2e-test/custom-route-timeout-pd-test [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] serving.kserve.io/config-llm-decode-template: kserve-config-llm-decode-template [e2e-llm-inference-service] serving.kserve.io/config-llm-decode-worker-data-parallel: kserve-config-llm-decode-worker-data-parallel [e2e-llm-inference-service] serving.kserve.io/config-llm-prefill-template: kserve-config-llm-prefill-template [e2e-llm-inference-service] serving.kserve.io/config-llm-prefill-worker-data-parallel: kserve-config-llm-prefill-worker-data-parallel [e2e-llm-inference-service] serving.kserve.io/config-llm-router-route: kserve-config-llm-router-route [e2e-llm-inference-service] serving.kserve.io/config-llm-scheduler: kserve-config-llm-scheduler [e2e-llm-inference-service] serving.kserve.io/config-llm-template: kserve-config-llm-template [e2e-llm-inference-service] serving.kserve.io/config-llm-tracing: kserve-config-llm-tracing [e2e-llm-inference-service] serving.kserve.io/config-llm-worker-data-parallel: kserve-config-llm-worker-data-parallel [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T16:01:56Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: HTTPRoutesReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T16:01:56Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: InferencePoolReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T16:05:30Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: MainWorkloadReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T16:05:30Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: PrefillWorkloadReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T16:01:23Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: PresetsCombined [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T16:05:30Z' [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: Ready [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T16:02:00Z' [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: RouterReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T16:02:00Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: SchedulerWorkloadReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T16:05:30Z' [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: WorkloadsReady [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] url: http://abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com/kserve-ci-e2e-test/custom-route-timeout-pd-test [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:44 TIME NAMESPACE SOURCE TYPE REASON MESSAGE [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:45 -------------------------------------------------------------------------------------------------- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-disabled-test-kserve-c58f655c7-9qnmk to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.36/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:28 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:28 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:32 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:32 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:32 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:18:27 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.36:8000/health": dial tcp 10.134.0.36:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-disabled-test-kserve-c58f655c7-9qnmk [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-disabled-test-kserve-router-scheduler-65b4fbcbbd-p87dh to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:28 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.36/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:28 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:28 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:28 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:29 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:29 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:29 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-disabled-test-kserve-router-scheduler-65b4fbcbbd-p87dh [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-disabled-test-kserve-router-scheduler-65b4fbcbbd from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-disabled-test-kserve-c58f655c7 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:20 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy auth-disabled-test-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/auth-disabled-test-kserve-route: HTTPRoute.gateway.networking.k8s.io "auth-disabled-test-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/auth-disabled-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-disabled-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-disabled-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/auth-disabled-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-disabled-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/auth-disabled-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/auth-disabled-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-disabled-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-disabled-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/auth-disabled-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:44 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/auth-disabled-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:44 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/auth-disabled-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:18:38 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [auth-disabled-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-enabled-test-kserve-6545cfc5c9-w82j8 to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.34/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulling Pulling image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:23 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Successfully pulled image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" in 3.609s (3.609s including waiting). Image size: 301881278 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:23 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:23 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:28 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulling Pulling image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:14 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Successfully pulled image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" in 45.616s (45.616s including waiting). Image size: 3531177328 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:14 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:14 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:59 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.34:8000/health": dial tcp 10.134.0.34:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:14 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-enabled-test-kserve-6545cfc5c9-w82j8 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-enabled-test-kserve-router-scheduler-79bc59d7f5-4xdsg to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.42/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:21 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:22 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" in 1.265s (1.265s including waiting). Image size: 75073927 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:22 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:22 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:14 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:14 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-enabled-test-kserve-router-scheduler-79bc59d7f5-4xdsg [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-enabled-test-kserve-router-scheduler-79bc59d7f5 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-enabled-test-kserve-6545cfc5c9 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/auth-enabled-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-enabled-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-enabled-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/auth-enabled-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-enabled-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/auth-enabled-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/auth-enabled-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-enabled-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-enabled-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/auth-enabled-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:42 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/auth-enabled-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/auth-enabled-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:09 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [auth-enabled-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-enabled-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-invalid-token-test-kserve-686cc8ccdc-k45d6 to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.35/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:55 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:55 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:55 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:41 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.35:8000/health": dial tcp 10.134.0.35:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:52 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:08 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Readiness probe failed: Get "https://10.134.0.35:8000/health": dial tcp 10.134.0.35:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:50 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-invalid-token-test-kserve-686cc8ccdc-k45d6 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-invalid-token-test-kserve-router-scheduler-55fc95f97crkwl9 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-invalid-token-test-kserve-router-scheduler-55fc95f97crkwl9 to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.33/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:53 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:53 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:53 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:52 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:52 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-invalid-token-test-kserve-router-scheduler-55fc95f97c from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:50 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-invalid-token-test-kserve-686cc8ccdc from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/auth-invalid-token-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-invalid-token-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-invalid-token-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/auth-invalid-token-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-invalid-token-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/auth-invalid-token-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/auth-invalid-token-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-invalid-token-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-invalid-token-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/auth-invalid-token-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/auth-invalid-token-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/auth-invalid-token-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:51 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [auth-invalid-token-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:52 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-invalid-token-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-84686ccc5b-jlf6l to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:20 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.47/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:20 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-disagg-sidecar:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:20 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:20 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:20 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:20 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:20 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:25 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:25 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:25 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:05:20 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.47:8001/health": dial tcp 10.134.0.47:8001: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:19 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: custom-route-timeout-pd-test-kserve-84686ccc5b-jlf6l [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-prefill-7c7977969-w26n9 to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:20 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.48/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:20 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:20 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:20 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:25 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:25 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:25 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:05:20 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.48:8000/health": dial tcp 10.134.0.48:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:19 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: custom-route-timeout-pd-test-kserve-prefill-7c7977969-w26n9 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:19 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set custom-route-timeout-pd-test-kserve-prefill-7c7977969 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-router-scheduler-859d8b5s4w to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:20 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.42/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:20 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:20 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:20 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:21 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:22 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:22 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:20 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: custom-route-timeout-pd-test-kserve-router-scheduler-859d8b5s4w [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:20 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set custom-route-timeout-pd-test-kserve-router-scheduler-859d8f7469 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:19 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set custom-route-timeout-pd-test-kserve-84686ccc5b from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:14 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy custom-route-timeout-pd-test-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-route: HTTPRoute.gateway.networking.k8s.io "custom-route-timeout-pd-test-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-prefill [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/custom-route-timeout-pd-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-custom-route-timeout-pd-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:54 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:53 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:53 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:05:30 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [custom-route-timeout-pd-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/custom-route-timeout-test-kserve-864979d845-rg778 to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:16 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.39/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:16 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:16 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:16 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:20 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:20 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:20 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:16 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.39:8000/health": dial tcp 10.134.0.39:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: custom-route-timeout-test-kserve-864979d845-rg778 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: custom-route-timeout-test-kserve-router-scheduler-778d465brn76d [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/custom-route-timeout-test-kserve-router-scheduler-778d465brn76d to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:16 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.39/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:16 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:16 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:16 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:17 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:17 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:17 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set custom-route-timeout-test-kserve-router-scheduler-778d465b5b from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set custom-route-timeout-test-kserve-864979d845 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy custom-route-timeout-test-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/custom-route-timeout-test-kserve-route: HTTPRoute.gateway.networking.k8s.io "custom-route-timeout-test-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/custom-route-timeout-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/custom-route-timeout-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/custom-route-timeout-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/custom-route-timeout-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-custom-route-timeout-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/custom-route-timeout-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/custom-route-timeout-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/custom-route-timeout-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/custom-route-timeout-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/custom-route-timeout-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/custom-route-timeout-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/custom-route-timeout-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:42 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [custom-route-timeout-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/e2e-pvc-model-download-5sdmq to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:05 kserve-ci-e2e-test attachdetach-controller Normal SuccessfulAttachVolume AttachVolume.Attach succeeded for volume "pvc-9e6cb39c-3e3b-4f07-9d31-2bdf792019f4" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:13 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.50/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:13 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:13 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:13 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:00 kserve-ci-e2e-test job-controller Normal SuccessfulCreate Created pod: e2e-pvc-model-download-5sdmq [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:23 kserve-ci-e2e-test job-controller Normal Completed Job completed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:00 kserve-ci-e2e-test persistentvolume-controller Normal WaitForFirstConsumer waiting for first consumer to be created before binding [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:00 kserve-ci-e2e-test persistentvolume-controller Normal ExternalProvisioning Waiting for a volume to be created either by the external provisioner 'ebs.csi.aws.com' or manually by the system administrator. If volume creation is delayed, please verify that the provisioner is running and correctly registered. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:00 kserve-ci-e2e-test ebs.csi.aws.com_aws-ebs-csi-driver-controller-798444b96c-qvwgb_b1986764-8034-4255-becd-46555cc5e803 Normal Provisioning External provisioner is provisioning volume for claim "kserve-ci-e2e-test/e2e-pvc-model-storage" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:02 kserve-ci-e2e-test ebs.csi.aws.com_aws-ebs-csi-driver-controller-798444b96c-qvwgb_b1986764-8034-4255-becd-46555cc5e803 Normal ProvisioningSucceeded Successfully provisioned volume pvc-9e6cb39c-3e3b-4f07-9d31-2bdf792019f4 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:50 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: gw-section-name-router-with-gat-2f0a622e-kserve-7c9c8cffc5mvc8s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve-7c9c8cffc5mvc8s to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:51 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.33/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:51 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:52 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" in 1.225s (1.225s including waiting). Image size: 98346788 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:52 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:52 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:58 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:50 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set gw-section-name-router-with-gat-2f0a622e-kserve-7c9c8cffc5 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/gw-sec0c69dceeb48768325d1a53a749e65786-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.HTTPRoute kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.DestinationRule kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:01 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: gw-section-name-router-with-gat-f1d92d0f-kserve-7bc8dd6c5btwgmp [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve-7bc8dd6c5btwgmp to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:02 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.41/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:02 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:02 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:02 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Warning FailedMount MountVolume.SetUp failed for volume "tls-certs" : secret "gw-sec2774c263d49959f50d9eebc552e13bf9-kserve-self-signed-certs" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:06 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:01 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set gw-section-name-router-with-gat-f1d92d0f-kserve-7bc8dd6c5b from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/gw-sec2774c263d49959f50d9eebc552e13bf9-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.HTTPRoute kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.DestinationRule kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve-d457bd6f9-68ctc to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:01 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.43/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:01 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-router-disagg-sidecar:v0.9.0-rc.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:03 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-router-disagg-sidecar:v0.9.0-rc.2" in 1.681s (1.681s including waiting). Image size: 44914394 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:03 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:03 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:04 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:04 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:04 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:09 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:09 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:09 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:57:51 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.43:8001/health": dial tcp 10.134.0.43:8001: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:21 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Killing Stopping container llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:21 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:01 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-route-50bc673d-kserve-d457bd6f9-68ctc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:01 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-route-50bc673d-kserve-prefill-8fn4wcp [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve-prefill-8fn4wcp to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:01 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.44/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:01 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:01 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:01 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:06 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:06 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:06 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:57:41 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.44:8000/health": dial tcp 10.134.0.44:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:21 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:01 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-route-50bc673d-kserve-prefill-8fd99dc5b from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:01 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-route-50bc673d-kserve-d457bd6f9 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:54:59 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-fb-opt-125m-route-50bc673d-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-fb-opt-125m-route-50bc673d-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv44d181485fad85e662eb092f3749502f-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve-prefill [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test00d7278d8a22c4e39146a6b0eb840f45-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:16 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv44d181485fad85e662eb092f3749502f-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:16 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:58:02 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-fb-opt-125m-route-50bc673d] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:21 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test00d7278d8a22c4e39146a6b0eb840f45-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-route-87882a8e-kserve-656d69b45fmlsj7 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve-656d69b45fmlsj7 to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.38/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:36 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:36 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:36 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:23:29 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.38:8000/health": dial tcp 10.134.0.38:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:31:49 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:06 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Readiness probe failed: Get "https://10.134.0.38:8000/health": context deadline exceeded [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-route-87882a8e-kserve-656d69b45f from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-fb-opt-125m-route-87882a8e-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-fb-opt-125m-route-87882a8e-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisva690bbc929faec8bc98c767f16c003c1-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test21fe6730fe484f3a92b1a16afe1bac8f-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvca690bbc929faec8bc98c767f16c003c1-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:46 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisva690bbc929faec8bc98c767f16c003c1-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:46 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:23:40 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-fb-opt-125m-route-87882a8e] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:31:49 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test21fe6730fe484f3a92b1a16afe1bac8f-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:45 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-66874c76d42rwrf [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-66874c76d42rwrf to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:46 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.37/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:46 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:46 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:46 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:06 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:45 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-66874c76d4 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:44 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv122f03714c5bdf915a2917fdf1262b98-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:20:04 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv122f03714c5bdf915a2917fdf1262b98-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:20:05 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-fb-opt-125m-route-e95b1dc1] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-855b7d474b-8hjhw to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.37/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:43 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:43 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:43 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:18:58 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.37:8000/health": dial tcp 10.134.0.37:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-855b7d474b-8hjhw [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-router-sche2449j to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.47/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:39 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:39 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:40 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:40 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:40 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-router-sche2449j [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-with-7ca60146-kserve-router-scheduler-76cdc676b7 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-with-7ca60146-kserve-855b7d474b from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:34 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-fb-opt-125m-with-7ca60146-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-fb-opt-125m-with-7ca60146-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv3e414c2ba058a022dfd694dbcbac5b51-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test5216bfd716f919dc046bc693ceb22e41-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:57 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv3e414c2ba058a022dfd694dbcbac5b51-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:08 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-fb-opt-125m-with-7ca60146] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-d68d9bcc7-gghpz to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:22 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.40/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:22 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:22 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:22 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:27 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:27 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:27 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:35:41 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.40:8000/health": dial tcp 10.134.0.40:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:21 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-d68d9bcc7-gghpz [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-router-sche4jhsb to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:22 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.40/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:22 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:22 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:22 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:24 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:24 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:24 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:22 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-router-sche4jhsb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:22 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-router-scheduler-6f5c957798 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:21 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-d68d9bcc7 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:21 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:21 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv77ff2528d3e9b4972cd9335229fce9f0-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:21 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:21 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:21 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:21 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test05addb65ba05195619f26ef266e8fc04-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:21 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv77ff2528d3e9b4972cd9335229fce9f0-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:35:52 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-fb-opt-125m-with-ba4d693a] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0-1 to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:39 kserve-ci-e2e-test attachdetach-controller Warning FailedAttachVolume Multi-Attach error for volume "pvc-9e6cb39c-3e3b-4f07-9d31-2bdf792019f4" Volume is already used by pod(s) llmisvc1dc4269d1ada5f2d28562215d180c57f-kserve-router-schef84w4 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0 to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:36 kserve-ci-e2e-test statefulset-controller Normal SuccessfulCreate create Pod llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0-1 in StatefulSet llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0 successful [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:39 kserve-ci-e2e-test attachdetach-controller Warning FailedAttachVolume Multi-Attach error for volume "pvc-9e6cb39c-3e3b-4f07-9d31-2bdf792019f4" Volume is already used by pod(s) llmisvc1dc4269d1ada5f2d28562215d180c57f-kserve-router-schef84w4 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:36 kserve-ci-e2e-test leaderworkerset Normal CreatingRevision Creating revision with key 686d468674 for a newly created LeaderWorkerSet [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:36 kserve-ci-e2e-test leaderworkerset Normal GroupsProgressing Created leader statefulset llmisvc-model-pvc-router-manage-2577e794-kserve-mn [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:36 kserve-ci-e2e-test leaderworkerset Normal GroupsProgressing Replicas are progressing, with 0 groups ready of total 1 groups [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:36 kserve-ci-e2e-test statefulset-controller Normal SuccessfulCreate create Pod llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0 in StatefulSet llmisvc-model-pvc-router-manage-2577e794-kserve-mn successful [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:36 kserve-ci-e2e-test leaderworkerset Normal GroupsProgressing Created worker statefulset for leader pod llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:36 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-pvc-router-manage-2577e794-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-2577e794-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-pvc-router-manage-2577e794-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:35 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv1dc4269d1ada5f2d28562215d180c57f-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:35 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-2577e794-kserve-mn-scc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:35 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-2577e794-kserve-mn [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.LeaderWorkerSet kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-2577e794-kserve-mn [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-2577e794-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-2577e794-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test37591b20e96e9663d45a730d03070f1e-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-2577e794-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-2577e794-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:55 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-2577e794-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:16:42 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv1dc4269d1ada5f2d28562215d180c57f-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:55 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-2577e794-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:38 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-pvc-router-manage-59b9d263-kserve-585587bc9drrlvp [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-59b9d263-kserve-585587bc9drrlvp to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:40 kserve-ci-e2e-test attachdetach-controller Normal SuccessfulAttachVolume AttachVolume.Attach succeeded for volume "pvc-9e6cb39c-3e3b-4f07-9d31-2bdf792019f4" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:43 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.42/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:43 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:43 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:43 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:53:42 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.42:8000/health": dial tcp 10.134.0.42:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:15 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:30 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Readiness probe failed: Get "https://10.134.0.42:8000/health": dial tcp 10.134.0.42:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:38 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-pvc-router-manage-59b9d263-kserve-585587bc9d from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:36 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-pvc-router-manage-59b9d263-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-59b9d263-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-pvc-router-manage-59b9d263-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv8bf079eb6eda4debfb4ef5bb7817824c-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-59b9d263-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-59b9d263-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-59b9d263-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-testc9569cf4801efc0ed27b2f25ffaee875-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-59b9d263-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-59b9d263-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc8bf079eb6eda4debfb4ef5bb7817824c-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-59b9d263-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:52:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-59b9d263-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:52:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv8bf079eb6eda4debfb4ef5bb7817824c-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:52:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-59b9d263-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:53:53 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-pvc-router-manage-59b9d263] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-testc9569cf4801efc0ed27b2f25ffaee875-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-kserve-7db79954c-l84cj to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:50 kserve-ci-e2e-test attachdetach-controller Normal SuccessfulAttachVolume AttachVolume.Attach succeeded for volume "pvc-9e6cb39c-3e3b-4f07-9d31-2bdf792019f4" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:54 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.45/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:54 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-disagg-sidecar:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:55 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:55 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:55 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:55 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:55 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:04:54 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.45:8001/health": dial tcp 10.134.0.45:8001: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:10 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Killing Stopping container llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:10 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:48 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-pvc-router-manage-e8706282-kserve-7db79954c-l84cj [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:48 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-pvc-router-manage-e8706282-kserve-prefill-79ppvwz [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-kserve-prefill-79ppvwz to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:50 kserve-ci-e2e-test attachdetach-controller Normal SuccessfulAttachVolume AttachVolume.Attach succeeded for volume "pvc-9e6cb39c-3e3b-4f07-9d31-2bdf792019f4" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:54 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.46/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:54 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:55 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:55 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:04:54 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.46:8000/health": dial tcp 10.134.0.46:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:10 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:48 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-pvc-router-manage-e8706282-kserve-prefill-79497db4cc from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:48 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-pvc-router-manage-e8706282-kserve-7db79954c from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:46 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-pvc-router-manage-e8706282-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-pvc-router-manage-e8706282-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisvb19f98874e050eec8ca94d49676113f0-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-kserve-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-kserve-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-kserve-prefill [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-testf5d060a5eb39a04e074b78907a1556a6-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:42 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisvb19f98874e050eec8ca94d49676113f0-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:05:05 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-pvc-router-manage-e8706282] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:10 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-testf5d060a5eb39a04e074b78907a1556a6-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve-5c54ddb98fcrnjb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve-5c54ddb98fcrnjb to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.35/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:49 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve-5c54ddb98f from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv08544b88a8d963ffd553cc1f3ed82d16-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test76d7f532acb694e4a7bcef75d32cd8a1-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc08544b88a8d963ffd553cc1f3ed82d16-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:12 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv08544b88a8d963ffd553cc1f3ed82d16-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:47 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-qwen2-5-0-5b-rout-4f8c0978] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test76d7f532acb694e4a7bcef75d32cd8a1-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve-5d8ffd58ddvv5px [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve-5d8ffd58ddvv5px to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.43/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:05 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve-5d8ffd58dd from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisvb11a9c9832b99b016bc8f8e0ea095712-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-testb7025ca4d8a6f8f5b2fd08b5581d2678-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvcb11a9c9832b99b016bc8f8e0ea095712-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:31 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:31 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisvb11a9c9832b99b016bc8f8e0ea095712-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:31 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:03 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-qwen2-5-0-5b-rout-a50492e9] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:05 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-testb7025ca4d8a6f8f5b2fd08b5581d2678-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-bd545d56-nmndd to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.45/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:08 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-router-managed-test-llm-4b931143-kserve-bd545d56-nmndd [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-router-managed-test-llm-4b931143-kserve-bd545d56 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-router-managed-test-llm-4b931143-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-router-managed-test-llm-4b931143-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisvca2d2d7d499abb359505529ebe02c136-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test8ac8e3d2264ccb939eb021b0b835847c-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:18 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisvca2d2d7d499abb359505529ebe02c136-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:18 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:39 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-router-managed-test-llm-4b931143] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:08 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test8ac8e3d2264ccb939eb021b0b835847c-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-router-managed-test-llm-5b1e8f15-kserve-64df7bddb4nzblz [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-64df7bddb4nzblz to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:29 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.31/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:29 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:29 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:29 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:25 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-router-managed-test-llm-5b1e8f15-kserve-64df7bddb4 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:23 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-router-managed-test-llm-5b1e8f15-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-router-managed-test-llm-5b1e8f15-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisve55ae740357a3a31a27cdb8b66ffe20f-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test7f54e84970003a6e7372bdbcb574f7ed-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:39 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisve55ae740357a3a31a27cdb8b66ffe20f-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:01 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-router-managed-test-llm-5b1e8f15] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test7f54e84970003a6e7372bdbcb574f7ed-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-router-managed-test-llm-e45d1f79-kserve-7fdbbd4879d6nsg [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-7fdbbd4879d6nsg to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.29/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:52 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-router-managed-test-llm-e45d1f79-kserve-7fdbbd4879 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-router-managed-test-llm-e45d1f79-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-router-managed-test-llm-e45d1f79-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv5c7e67b6c51568d1d6d13829a9337f2a-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-testef4d2875be14b30dc1561ed84d0d4bde-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc5c7e67b6c51568d1d6d13829a9337f2a-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv5c7e67b6c51568d1d6d13829a9337f2a-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:52 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-router-managed-test-llm-e45d1f79] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:52 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-testef4d2875be14b30dc1561ed84d0d4bde-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc08544b88a8d963ffd553cc1f3ed82d16-kserve-router-schez7qcx [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc08544b88a8d963ffd553cc1f3ed82d16-kserve-router-scheduler-6fcb489785 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc08544b88a8d963ffd553cc1f3ed82d16-kserve-router-schez7qcx to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.46/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:03 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:03 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:49 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:49 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:36 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc1dc4269d1ada5f2d28562215d180c57f-kserve-router-schef84w4 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:36 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc1dc4269d1ada5f2d28562215d180c57f-kserve-router-scheduler-7dbcb75dbc from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc1dc4269d1ada5f2d28562215d180c57f-kserve-router-schef84w4 to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:36 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.53/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:36 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:36 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:36 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:39 kserve-ci-e2e-test attachdetach-controller Normal SuccessfulAttachVolume AttachVolume.Attach succeeded for volume "pvc-9e6cb39c-3e3b-4f07-9d31-2bdf792019f4" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:01 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc44d181485fad85e662eb092f3749502f-kserve-router-scheqx7m7 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:01 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc44d181485fad85e662eb092f3749502f-kserve-router-scheduler-5f4ffd49d7 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc44d181485fad85e662eb092f3749502f-kserve-router-scheqx7m7 to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:02 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.51/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:02 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:02 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:02 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:03 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:03 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:03 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:21 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:21 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc5c7e67b6c51568d1d6d13829a9337f2a-kserve-router-schejbsn9 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc5c7e67b6c51568d1d6d13829a9337f2a-kserve-router-scheduler-5dd88bfbb7 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc5c7e67b6c51568d1d6d13829a9337f2a-kserve-router-schejbsn9 to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.30/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:20 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:20 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:52 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:52 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:38 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc8bf079eb6eda4debfb4ef5bb7817824c-kserve-router-schenwk6h [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:38 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc8bf079eb6eda4debfb4ef5bb7817824c-kserve-router-scheduler-5f555d4d85 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc8bf079eb6eda4debfb4ef5bb7817824c-kserve-router-schenwk6h to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:39 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.41/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:39 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:39 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:39 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:40 kserve-ci-e2e-test attachdetach-controller Warning FailedAttachVolume Multi-Attach error for volume "pvc-9e6cb39c-3e3b-4f07-9d31-2bdf792019f4" Volume is already used by pod(s) llmisvc-model-pvc-router-manage-59b9d263-kserve-585587bc9drrlvp [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:15 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:15 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvca690bbc929faec8bc98c767f16c003c1-kserve-router-sche4mmnh to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:30 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.38/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:30 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:30 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:30 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:31 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:31 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:31 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:31:49 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:31:49 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvca690bbc929faec8bc98c767f16c003c1-kserve-router-sche4mmnh [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvca690bbc929faec8bc98c767f16c003c1-kserve-router-scheduler-6d6ccfd7bf from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvcb11a9c9832b99b016bc8f8e0ea095712-kserve-router-schefwv9g [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvcb11a9c9832b99b016bc8f8e0ea095712-kserve-router-scheduler-6d86bd4d9d from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvcb11a9c9832b99b016bc8f8e0ea095712-kserve-router-schefwv9g to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:25 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.44/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:25 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:25 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:25 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:05 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:05 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:48 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvcb19f98874e050eec8ca94d49676113f0-kserve-router-schesx94d [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:48 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvcb19f98874e050eec8ca94d49676113f0-kserve-router-scheduler-67b4bb9646 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvcb19f98874e050eec8ca94d49676113f0-kserve-router-schesx94d to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:49 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.52/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:49 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:49 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:49 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:50 kserve-ci-e2e-test attachdetach-controller Warning FailedAttachVolume Multi-Attach error for volume "pvc-9e6cb39c-3e3b-4f07-9d31-2bdf792019f4" Volume is already used by pod(s) llmisvc-model-pvc-router-manage-e8706282-kserve-7db79954c-l84cj, llmisvc-model-pvc-router-manage-e8706282-kserve-prefill-79ppvwz [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:10 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:10 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-schepv8bq [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-scheduler-68cc9685d6 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-schepv8bq to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.34/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:07 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:07 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:07 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:08 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:09 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-schegq6m5 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-scheduler-749449dbc8 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-schegq6m5 to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:29 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.32/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:29 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:29 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:29 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:25 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:25 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/precise-prefix-cache-test-kserve-7cccfc8969-5jsv7 to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.40/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:45 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:47 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" in 1.17s (1.17s including waiting). Image size: 98346788 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:47 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:47 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:53 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/precise-prefix-cache-test-kserve-7cccfc8969-hgnwf to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.27/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulling Pulling image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:45 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Successfully pulled image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" in 3.856s (3.856s including waiting). Image size: 301881278 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:45 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:45 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:50 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:52 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" in 1.366s (1.366s including waiting). Image size: 98346788 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:52 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:52 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:53 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: precise-prefix-cache-test-kserve-7cccfc8969-5jsv7 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: precise-prefix-cache-test-kserve-7cccfc8969-hgnwf [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: precise-prefix-cache-test-kserve-router-scheduler-574f7b5bkxs85 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/precise-prefix-cache-test-kserve-router-scheduler-574f7b5bkxs85 to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:42 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.28/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:42 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulling Pulling image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:45 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Successfully pulled image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" in 3.25s (3.25s including waiting). Image size: 301881278 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:45 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:45 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:46 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:48 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" in 1.812s (1.812s including waiting). Image size: 75073927 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:21 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:21 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:48 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-uds-tokenizer:vllm-v0.19.1" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:20 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-uds-tokenizer:vllm-v0.19.1" in 31.967s (31.967s including waiting). Image size: 2989890188 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:20 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: tokenizer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:20 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container tokenizer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:21 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:43 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Warning Unhealthy Liveness probe failed: timeout: failed to connect service "10.133.0.28:9003" within 1s: context deadline exceeded [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:53 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container tokenizer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:53 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:53 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set precise-prefix-cache-test-kserve-router-scheduler-574f7b5bf from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set precise-prefix-cache-test-kserve-7cccfc8969 from 0 to 2 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:37 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy precise-prefix-cache-test-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/precise-prefix-cache-test-kserve-route: HTTPRoute.gateway.networking.k8s.io "precise-prefix-cache-test-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:40 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/precise-prefix-cache-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/precise-prefix-cache-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/precise-prefix-cache-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/precise-prefix-cache-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-precise-prefix-cache-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/precise-prefix-cache-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/precise-prefix-cache-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/precise-prefix-cache-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/precise-prefix-cache-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:56 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/precise-prefix-cache-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:55 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/precise-prefix-cache-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:56 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/precise-prefix-cache-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:52 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [precise-prefix-cache-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:53 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test-precise-prefix-cache-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-1-openshift-default-857cf9f944-p7rxk to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:32 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.32/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:20:19 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:20:19 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:20:19 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:20:05 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning BackOff Back-off restarting failed container istio-proxy in pod router-gateway-1-openshift-default-857cf9f944-p7rxk_kserve-ci-e2e-test(70147199-b9b1-413d-838d-76f6d8f9b3e2) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:20:25 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "http://10.134.0.32:15021/healthz/ready": dial tcp 10.134.0.32:15021: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:32 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-1-openshift-default-857cf9f944-p7rxk [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:32 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-gateway-1-openshift-default-857cf9f944 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:32 kserve-ci-e2e-test service-controller Normal EnsuringLoadBalancer Ensuring load balancer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:35 kserve-ci-e2e-test service-controller Normal EnsuredLoadBalancer Ensured load balancer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:49:49 kserve-ci-e2e-test gateway_labeler_controller Normal AddedLabel Added label istio.io/rev=openshift-gateway to gateway router-gateway-1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-with-refs-test-kserve-678d989c77-8p9xx to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:07 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.41/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:07 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:07 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:07 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:12 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:12 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:12 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:52:07 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.41:8000/health": dial tcp 10.134.0.41:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:54:28 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:54:44 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Readiness probe failed: Get "https://10.134.0.41:8000/health": dial tcp 10.134.0.41:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:07 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-with-refs-test-kserve-678d989c77-8p9xx [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-with-refs-test-kserve-router-scheduler-858ff4d95b-8fqfk to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:08 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.49/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:08 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:08 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:08 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:09 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:09 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:09 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:54:29 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:54:29 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:07 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-with-refs-test-kserve-router-scheduler-858ff4d95b-8fqfk [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:07 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-with-refs-test-kserve-router-scheduler-858ff4d95b from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:07 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-with-refs-test-kserve-678d989c77 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/router-with-refs-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/router-with-refs-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/router-with-refs-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/router-with-refs-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-router-with-refs-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/router-with-refs-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/router-with-refs-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/router-with-refs-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/router-with-refs-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:08 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/router-with-refs-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/router-with-refs-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:52:19 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [router-with-refs-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:54:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test-router-with-refs-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:148 ### Pod custom-route-timeout-pd-test-kserve-84686ccc5b-jlf6l (phase=Running) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:188 #### init-container 'llm-d-routing-sidecar' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:201 # -- logs (current) -- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:202 Flag --decoder-use-tls has been deprecated, use --enable-tls=decoder instead [e2e-llm-inference-service] Flag --prefiller-use-tls has been deprecated, use --enable-tls=prefiller instead [e2e-llm-inference-service] {"level":"info","ts":1783440080.5215936,"msg":"Proxy starting","Built on":"v0.9.0-rc.2","From Git SHA":"181aa8358916e19b8844ccc752b2d6153d4b2ad6"} [e2e-llm-inference-service] {"level":"info","ts":1783440080.5216289,"msg":"Proxy configuration","config":"{\"Port\":\"8000\",\"KVConnector\":\"nixlv2\",\"ECConnector\":\"\",\"DataParallelSize\":1,\"MaxIdleConnsPerHost\":1024,\"EnablePrefillerSampling\":false,\"PrefillMaxRetries\":0,\"PrefillRetryBackoff\":200000000,\"UseTLSForPrefiller\":true,\"UseTLSForDecoder\":true,\"UseTLSForEncoder\":false,\"InsecureSkipVerifyForPrefiller\":false,\"InsecureSkipVerifyForEncoder\":false,\"InsecureSkipVerifyForDecoder\":false,\"SecureServing\":true,\"CertPath\":\"/var/run/kserve/tls\",\"MooncakeBootstrapPort\":8998,\"EnableSSRFProtection\":true,\"InferencePoolNamespace\":\"kserve-ci-e2e-test\",\"InferencePoolName\":\"custom-route-timeout-pd-test-inference-pool\",\"PoolGroup\":\"inference.networking.x-k8s.io\",\"DecodeChunkSize\":0,\"Tracing\":false,\"MoRIIOWriteMode\":false,\"MoRIIODecodeNotifyPort\":61005,\"MoRIIODecodeHandshakePort\":6301,\"MoRIIODecodePodIP\":\"\",\"MoRIIOParallelDispatch\":false,\"MoRIIOPrefillHandshakePort\":6301,\"MoRIIOPrefillNotifyPort\":61005,\"MoRIIOTPSize\":1,\"MoRIIODPSize\":1,\"MoRIIORemoteHosts\":null,\"MoRIIODPSizeLocal\":0,\"MoRIIODecodeHosts\":null,\"DecoderURL\":\"https://localhost:8001\"}"} [e2e-llm-inference-service] {"level":"info","ts":1783440080.5233417,"logger":"allowlist-validator","msg":"starting SSRF protection allowlist validator","namespace":"kserve-ci-e2e-test","poolName":"custom-route-timeout-pd-test-inference-pool","gvr":"inference.networking.x-k8s.io/v1alpha2, Resource=inferencepools"} [e2e-llm-inference-service] {"level":"info","ts":1783440080.5414183,"logger":"allowlist-validator","msg":"InferencePool added","name":"custom-route-timeout-pd-test-inference-pool"} [e2e-llm-inference-service] {"level":"info","ts":1783440080.5574684,"logger":"allowlist-validator","msg":"rebuilt allowlist","targetCount":0,"targets":{}} [e2e-llm-inference-service] {"level":"info","ts":1783440080.557577,"logger":"allowlist-validator","msg":"rebuilt allowlist","targetCount":0,"targets":{}} [e2e-llm-inference-service] {"level":"info","ts":1783440080.6239252,"logger":"allowlist-validator","msg":"allowlist validator started successfully"} [e2e-llm-inference-service] {"level":"info","ts":1783440080.6263416,"logger":"proxy server on port 8000","msg":"server TLS configured"} [e2e-llm-inference-service] {"level":"info","ts":1783440080.6263626,"logger":"proxy server on port 8000","msg":"starting","addr":"[::]:8000"} [e2e-llm-inference-service] {"level":"info","ts":1783440080.763231,"logger":"allowlist-validator","msg":"rebuilt allowlist","targetCount":2,"targets":{"10.134.0.47":{},"custom-route-timeout-pd-test-kserve-84686ccc5b-jlf6l":{}}} [e2e-llm-inference-service] {"level":"info","ts":1783440080.7884312,"logger":"allowlist-validator","msg":"rebuilt allowlist","targetCount":4,"targets":{"10.134.0.47":{},"10.134.0.48":{},"custom-route-timeout-pd-test-kserve-84686ccc5b-jlf6l":{},"custom-route-timeout-pd-test-kserve-prefill-7c7977969-w26n9":{}}} [e2e-llm-inference-service] {"level":"info","ts":1783440081.7775035,"logger":"allowlist-validator","msg":"rebuilt allowlist","targetCount":4,"targets":{"10.134.0.47":{},"10.134.0.48":{},"custom-route-timeout-pd-test-kserve-84686ccc5b-jlf6l":{},"custom-route-timeout-pd-test-kserve-prefill-7c7977969-w26n9":{}}} [e2e-llm-inference-service] {"level":"info","ts":1783440085.812112,"logger":"allowlist-validator","msg":"rebuilt allowlist","targetCount":4,"targets":{"10.134.0.47":{},"10.134.0.48":{},"custom-route-timeout-pd-test-kserve-84686ccc5b-jlf6l":{},"custom-route-timeout-pd-test-kserve-prefill-7c7977969-w26n9":{}}} [e2e-llm-inference-service] {"level":"info","ts":1783440085.8369362,"logger":"allowlist-validator","msg":"rebuilt allowlist","targetCount":4,"targets":{"10.134.0.47":{},"10.134.0.48":{},"custom-route-timeout-pd-test-kserve-84686ccc5b-jlf6l":{},"custom-route-timeout-pd-test-kserve-prefill-7c7977969-w26n9":{}}} [e2e-llm-inference-service] {"level":"info","ts":1783440086.835268,"logger":"allowlist-validator","msg":"rebuilt allowlist","targetCount":4,"targets":{"10.134.0.47":{},"10.134.0.48":{},"custom-route-timeout-pd-test-kserve-84686ccc5b-jlf6l":{},"custom-route-timeout-pd-test-kserve-prefill-7c7977969-w26n9":{}}} [e2e-llm-inference-service] {"level":"info","ts":1783440086.8672922,"logger":"allowlist-validator","msg":"rebuilt allowlist","targetCount":4,"targets":{"10.134.0.47":{},"10.134.0.48":{},"custom-route-timeout-pd-test-kserve-84686ccc5b-jlf6l":{},"custom-route-timeout-pd-test-kserve-prefill-7c7977969-w26n9":{}}} [e2e-llm-inference-service] {"level":"info","ts":1783440090.2502835,"logger":"allowlist-validator","msg":"rebuilt allowlist","targetCount":4,"targets":{"10.134.0.47":{},"10.134.0.48":{},"custom-route-timeout-pd-test-kserve-84686ccc5b-jlf6l":{},"custom-route-timeout-pd-test-kserve-prefill-7c7977969-w26n9":{}}} [e2e-llm-inference-service] {"level":"info","ts":1783440110.541874,"logger":"allowlist-validator","msg":"InferencePool updated","name":"custom-route-timeout-pd-test-inference-pool"} [e2e-llm-inference-service] {"level":"info","ts":1783440110.555822,"logger":"allowlist-validator","msg":"rebuilt allowlist","targetCount":4,"targets":{"10.134.0.47":{},"10.134.0.48":{},"custom-route-timeout-pd-test-kserve-84686ccc5b-jlf6l":{},"custom-route-timeout-pd-test-kserve-prefill-7c7977969-w26n9":{}}} [e2e-llm-inference-service] {"level":"info","ts":1783440110.5560424,"logger":"allowlist-validator","msg":"rebuilt allowlist","targetCount":4,"targets":{"10.134.0.47":{},"10.134.0.48":{},"custom-route-timeout-pd-test-kserve-84686ccc5b-jlf6l":{},"custom-route-timeout-pd-test-kserve-prefill-7c7977969-w26n9":{}}} [e2e-llm-inference-service] {"level":"info","ts":1783440140.54207,"logger":"allowlist-validator","msg":"InferencePool updated","name":"custom-route-timeout-pd-test-inference-pool"} [e2e-llm-inference-service] {"level":"info","ts":1783440140.5566459,"logger":"allowlist-validator","msg":"rebuilt allowlist","targetCount":4,"targets":{"10.134.0.47":{},"10.134.0.48":{},"custom-route-timeout-pd-test-kserve-84686ccc5b-jlf6l":{},"custom-route-timeout-pd-test-kserve-prefill-7c7977969-w26n9":{}}} [e2e-llm-inference-service] {"level":"info","ts":1783440140.55671,"logger":"allowlist-validator","msg":"rebuilt allowlist","targetCount":4,"targets":{"10.134.0.47":{},"10.134.0.48":{},"custom-route-timeout-pd-test-kserve-84686ccc5b-jlf6l":{},"custom-route-timeout-pd-test-kserve-prefill-7c7977969-w26n9":{}}} [e2e-llm-inference-service] {"level":"info","ts":1783440170.5431726,"logger":"allowlist-validator","msg":"InferencePool updated","name":"custom-route-timeout-pd-test-inference-pool"} [e2e-llm-inference-service] {"level":"info","ts":1783440170.5555844,"logger":"allowlist-validator","msg":"rebuilt allowlist","targetCount":4,"targets":{"10.134.0.47":{},"10.134.0.48":{},"custom-route-timeout-pd-test-kserve-84686ccc5b-jlf6l":{},"custom-route-timeout-pd-test-kserve-prefill-7c7977969-w26n9":{}}} [e2e-llm-inference-service] {"level":"info","ts":1783440170.555649,"logger":"allowlist-validator","msg":"rebuilt allowlist","targetCount":4,"targets":{"10.134.0.47":{},"10.134.0.48":{},"custom-route-timeout-pd-test-kserve-84686ccc5b-jlf6l":{},"custom-route-timeout-pd-test-kserve-prefill-7c7977969-w26n9":{}}} [e2e-llm-inference-service] {"level":"info","ts":1783440200.544102,"logger":"allowlist-validator","msg":"InferencePool updated","name":"custom-route-timeout-pd-test-inference-pool"} [e2e-llm-inference-service] {"level":"info","ts":1783440200.5557158,"logger":"allowlist-validator","msg":"rebuilt allowlist","targetCount":4,"targets":{"10.134.0.47":{},"10.134.0.48":{},"custom-route-timeout-pd-test-kserve-84686ccc5b-jlf6l":{},"custom-route-timeout-pd-test-kserve-prefill-7c7977969-w26n9":{}}} [e2e-llm-inference-service] {"level":"info","ts":1783440200.5557697,"logger":"allowlist-validator","msg":"rebuilt allowlist","targetCount":4,"targets":{"10.134.0.47":{},"10.134.0.48":{},"custom-route-timeout-pd-test-kserve-84686ccc5b-jlf6l":{},"custom-route-timeout-pd-test-kserve-prefill-7c7977969-w26n9":{}}} [e2e-llm-inference-service] {"level":"info","ts":1783440230.5447958,"logger":"allowlist-validator","msg":"InferencePool updated","name":"custom-route-timeout-pd-test-inference-pool"} [e2e-llm-inference-service] {"level":"info","ts":1783440230.5598044,"logger":"allowlist-validator","msg":"rebuilt allowlist","targetCount":4,"targets":{"10.134.0.47":{},"10.134.0.48":{},"custom-route-timeout-pd-test-kserve-84686ccc5b-jlf6l":{},"custom-route-timeout-pd-test-kserve-prefill-7c7977969-w26n9":{}}} [e2e-llm-inference-service] {"level":"info","ts":1783440230.5598664,"logger":"allowlist-validator","msg":"rebuilt 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[e2e-llm-inference-service] {"level":"info","ts":1783441010.5578444,"logger":"allowlist-validator","msg":"InferencePool updated","name":"custom-route-timeout-pd-test-inference-pool"} [e2e-llm-inference-service] {"level":"info","ts":1783441010.5693855,"logger":"allowlist-validator","msg":"rebuilt allowlist","targetCount":4,"targets":{"10.134.0.47":{},"10.134.0.48":{},"custom-route-timeout-pd-test-kserve-84686ccc5b-jlf6l":{},"custom-route-timeout-pd-test-kserve-prefill-7c7977969-w26n9":{}}} [e2e-llm-inference-service] {"level":"info","ts":1783441010.5694635,"logger":"allowlist-validator","msg":"rebuilt allowlist","targetCount":4,"targets":{"10.134.0.47":{},"10.134.0.48":{},"custom-route-timeout-pd-test-kserve-84686ccc5b-jlf6l":{},"custom-route-timeout-pd-test-kserve-prefill-7c7977969-w26n9":{}}} [e2e-llm-inference-service] {"level":"info","ts":1783441040.5588434,"logger":"allowlist-validator","msg":"InferencePool updated","name":"custom-route-timeout-pd-test-inference-pool"} [e2e-llm-inference-service] {"level":"info","ts":1783441040.5807223,"logger":"allowlist-validator","msg":"rebuilt allowlist","targetCount":4,"targets":{"10.134.0.47":{},"10.134.0.48":{},"custom-route-timeout-pd-test-kserve-84686ccc5b-jlf6l":{},"custom-route-timeout-pd-test-kserve-prefill-7c7977969-w26n9":{}}} [e2e-llm-inference-service] {"level":"info","ts":1783441040.5808027,"logger":"allowlist-validator","msg":"rebuilt allowlist","targetCount":4,"targets":{"10.134.0.47":{},"10.134.0.48":{},"custom-route-timeout-pd-test-kserve-84686ccc5b-jlf6l":{},"custom-route-timeout-pd-test-kserve-prefill-7c7977969-w26n9":{}}} [e2e-llm-inference-service] {"level":"info","ts":1783441070.5592332,"logger":"allowlist-validator","msg":"InferencePool updated","name":"custom-route-timeout-pd-test-inference-pool"} [e2e-llm-inference-service] {"level":"info","ts":1783441070.577478,"logger":"allowlist-validator","msg":"rebuilt 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[e2e-llm-inference-service] {"level":"info","ts":1783441100.570761,"logger":"allowlist-validator","msg":"rebuilt allowlist","targetCount":4,"targets":{"10.134.0.47":{},"10.134.0.48":{},"custom-route-timeout-pd-test-kserve-84686ccc5b-jlf6l":{},"custom-route-timeout-pd-test-kserve-prefill-7c7977969-w26n9":{}}} [e2e-llm-inference-service] {"level":"info","ts":1783441130.5608582,"logger":"allowlist-validator","msg":"InferencePool updated","name":"custom-route-timeout-pd-test-inference-pool"} [e2e-llm-inference-service] {"level":"info","ts":1783441130.5710309,"logger":"allowlist-validator","msg":"rebuilt allowlist","targetCount":4,"targets":{"10.134.0.47":{},"10.134.0.48":{},"custom-route-timeout-pd-test-kserve-84686ccc5b-jlf6l":{},"custom-route-timeout-pd-test-kserve-prefill-7c7977969-w26n9":{}}} [e2e-llm-inference-service] {"level":"info","ts":1783441130.5710971,"logger":"allowlist-validator","msg":"rebuilt allowlist","targetCount":4,"targets":{"10.134.0.47":{},"10.134.0.48":{},"custom-route-timeout-pd-test-kserve-84686ccc5b-jlf6l":{},"custom-route-timeout-pd-test-kserve-prefill-7c7977969-w26n9":{}}} [e2e-llm-inference-service] {"level":"info","ts":1783441160.5615134,"logger":"allowlist-validator","msg":"InferencePool updated","name":"custom-route-timeout-pd-test-inference-pool"} [e2e-llm-inference-service] {"level":"info","ts":1783441160.5726378,"logger":"allowlist-validator","msg":"rebuilt allowlist","targetCount":4,"targets":{"10.134.0.47":{},"10.134.0.48":{},"custom-route-timeout-pd-test-kserve-84686ccc5b-jlf6l":{},"custom-route-timeout-pd-test-kserve-prefill-7c7977969-w26n9":{}}} [e2e-llm-inference-service] {"level":"info","ts":1783441160.572696,"logger":"allowlist-validator","msg":"rebuilt allowlist","targetCount":4,"targets":{"10.134.0.47":{},"10.134.0.48":{},"custom-route-timeout-pd-test-kserve-84686ccc5b-jlf6l":{},"custom-route-timeout-pd-test-kserve-prefill-7c7977969-w26n9":{}}} [e2e-llm-inference-service] {"level":"info","ts":1783441190.5621173,"logger":"allowlist-validator","msg":"InferencePool updated","name":"custom-route-timeout-pd-test-inference-pool"} [e2e-llm-inference-service] {"level":"info","ts":1783441190.5750687,"logger":"allowlist-validator","msg":"rebuilt allowlist","targetCount":4,"targets":{"10.134.0.47":{},"10.134.0.48":{},"custom-route-timeout-pd-test-kserve-84686ccc5b-jlf6l":{},"custom-route-timeout-pd-test-kserve-prefill-7c7977969-w26n9":{}}} [e2e-llm-inference-service] {"level":"info","ts":1783441190.5751295,"logger":"allowlist-validator","msg":"rebuilt allowlist","targetCount":4,"targets":{"10.134.0.47":{},"10.134.0.48":{},"custom-route-timeout-pd-test-kserve-84686ccc5b-jlf6l":{},"custom-route-timeout-pd-test-kserve-prefill-7c7977969-w26n9":{}}} [e2e-llm-inference-service] {"level":"info","ts":1783441220.562704,"logger":"allowlist-validator","msg":"InferencePool updated","name":"custom-route-timeout-pd-test-inference-pool"} [e2e-llm-inference-service] {"level":"info","ts":1783441220.5765862,"logger":"allowlist-validator","msg":"rebuilt allowlist","targetCount":4,"targets":{"10.134.0.47":{},"10.134.0.48":{},"custom-route-timeout-pd-test-kserve-84686ccc5b-jlf6l":{},"custom-route-timeout-pd-test-kserve-prefill-7c7977969-w26n9":{}}} [e2e-llm-inference-service] {"level":"info","ts":1783441220.5766416,"logger":"allowlist-validator","msg":"rebuilt allowlist","targetCount":4,"targets":{"10.134.0.47":{},"10.134.0.48":{},"custom-route-timeout-pd-test-kserve-84686ccc5b-jlf6l":{},"custom-route-timeout-pd-test-kserve-prefill-7c7977969-w26n9":{}}} [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:188 #### init-container 'storage-initializer' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:201 # -- logs (current) -- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:202 2026-07-07 16:01:21.113 1 storage.initializer INFO [initializer-entrypoint:():17] Initializing, args: (src_uri, dest_path): [('hf://facebook/opt-125m', '/mnt/models')] [e2e-llm-inference-service] 2026-07-07 16:01:21.114 1 storage.initializer INFO [kserve_storage.py:download():166] Copying contents of hf://facebook/opt-125m to local [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/wPaCkH-WbT7GsmxMKKrNZTV4nSM=.ac481c8eb05e4d2496fbe076a38a7b4835dd733d.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_d290678d-a491-40d2-85cb-1c1fbab42324'. [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_afc48953-2f53-4ba8-8020-6c5c9a422c6c'. [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_c0ce4ae7-83fd-4864-89e2-11d29a0149cc'. [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_cbdadb16-73df-4dba-b1fe-8c9539a05b4c'. [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_0c839c68-c516-443a-b0dc-6246ab103da8'. [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_e557deec-3f3d-43f5-b953-ad77cdb8f6e6'. [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_b5c74934-1304-47b4-bcbf-ac75770f9dba'. [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_bdc307c3-f5be-41d8-9e02-1b84cf92ce0b'. [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_62cf477c-0b8d-41aa-a616-a1249d616f3d'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/a7eHxRFT3OeMBIFg52k2nfj5m7w=.db7090b0c8b34dd957a7e0656c718f978f9203cc874018f37dda44108be5970a.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_74bb8e75-8619-47fc-b27b-c9116a3275dc'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/vzaExXFZNBay89bvlQv-ZcI6BTg=.27c24ca9d908d0b678b20c698aeb9e950c44d865.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_2770d795-2a7a-4262-b41e-c478a616d610'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/j3m-Hy6QvBddw8RXA1uSWl1AJ0c=.0a39732b2d8be8e493cab3da68b68cc3e28221de.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_15864fca-6f42-4679-a40b-fcde3a0fa1b5'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] 2026-07-07 16:01:25.128 1 storage.initializer INFO [kserve_storage.py:download():234] Successfully copied hf://facebook/opt-125m to /mnt/models [e2e-llm-inference-service] 2026-07-07 16:01:25.129 1 storage.initializer INFO [kserve_storage.py:download():235] Model downloaded in 4.015036077999866 seconds. [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:188 #### container 'main' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:201 # -- logs (current) -- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:202 [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 [e2e-llm-inference-service] [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 [e2e-llm-inference-service] [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 [e2e-llm-inference-service] [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 [e2e-llm-inference-service] [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 [e2e-llm-inference-service] [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 [e2e-llm-inference-service] [Gloo] Rank 0 is connected to 0 peer ranks. Expected number of connected peer ranks is : 0 [e2e-llm-inference-service] (EngineCore pid=70) INFO 07-07 16:02:47 [distributed/parallel_state.py:1716] rank 0 in world size 1 is assigned as DP rank 0, PP rank 0, PCP rank 0, TP rank 0, EP rank N/A, EPLB rank N/A [e2e-llm-inference-service] (EngineCore pid=70) DEBUG 07-07 16:02:47 [v1/sample/logits_processor/__init__.py:65] No logitsprocs plugins installed (group vllm.logits_processors). [e2e-llm-inference-service] (EngineCore pid=70) DEBUG 07-07 16:02:47 [model_executor/offloader/base.py:107] Offloader set to NoopOffloader (no offloading). [e2e-llm-inference-service] (EngineCore pid=70) INFO 07-07 16:02:47 [v1/worker/cpu_model_runner.py:71] Starting to load model /mnt/models... [e2e-llm-inference-service] (EngineCore pid=70) DEBUG 07-07 16:02:47 [compilation/decorators.py:213] Inferred dynamic dimensions for forward method of : ['input_ids', 'positions', 'intermediate_tensors', 'inputs_embeds'] [e2e-llm-inference-service] (EngineCore pid=70) DEBUG 07-07 16:02:48 [config/compilation.py:1194] enabled custom ops: Counter() [e2e-llm-inference-service] (EngineCore pid=70) DEBUG 07-07 16:02:48 [config/compilation.py:1195] disabled custom ops: Counter({'vocab_parallel_embedding': 1, 'logits_processor': 1}) [e2e-llm-inference-service] (EngineCore pid=70) DEBUG 07-07 16:02:48 [model_executor/model_loader/base_loader.py:63] Loading weights on cpu ... [e2e-llm-inference-service] (EngineCore pid=70) Loading pt checkpoint shards: 0% Completed | 0/1 [00:00 [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:02:56 [v1/engine/utils.py:1047] Waiting for 1 local, 0 remote core engine proc(s) to start. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:03:06 [v1/engine/utils.py:1047] Waiting for 1 local, 0 remote core engine proc(s) to start. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:03:16 [v1/engine/utils.py:1047] Waiting for 1 local, 0 remote core engine proc(s) to start. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:03:26 [v1/engine/utils.py:1047] Waiting for 1 local, 0 remote core engine proc(s) to start. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:03:36 [v1/engine/utils.py:1047] Waiting for 1 local, 0 remote core engine proc(s) to start. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:03:46 [v1/engine/utils.py:1047] Waiting for 1 local, 0 remote core engine proc(s) to start. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:03:56 [v1/engine/utils.py:1047] Waiting for 1 local, 0 remote core engine proc(s) to start. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:04:06 [v1/engine/utils.py:1047] Waiting for 1 local, 0 remote core engine proc(s) to start. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:04:16 [v1/engine/utils.py:1047] Waiting for 1 local, 0 remote core engine proc(s) to start. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:04:26 [v1/engine/utils.py:1047] Waiting for 1 local, 0 remote core engine proc(s) to start. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:04:36 [v1/engine/utils.py:1047] Waiting for 1 local, 0 remote core engine proc(s) to start. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:04:46 [v1/engine/utils.py:1047] Waiting for 1 local, 0 remote core engine proc(s) to start. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:04:56 [v1/engine/utils.py:1047] Waiting for 1 local, 0 remote core engine proc(s) to start. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:05:06 [v1/engine/utils.py:1047] Waiting for 1 local, 0 remote core engine proc(s) to start. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:05:16 [v1/engine/utils.py:1047] Waiting for 1 local, 0 remote core engine proc(s) to start. [e2e-llm-inference-service] (EngineCore pid=70) INFO 07-07 16:05:21 [compilation/decorators.py:640] saved AOT compiled function to /home/.cache/vllm/torch_compile_cache/torch_aot_compile/86c9c3c579382eef68a98ac1d59b39811ba08abef3b4e90675a32c8dec3d7c90/rank_0_0/model [e2e-llm-inference-service] (EngineCore pid=70) INFO 07-07 16:05:22 [compilation/monitor.py:76] Initial profiling/warmup run took 1.36 s [e2e-llm-inference-service] (EngineCore pid=70) INFO 07-07 16:05:22 [v1/worker/cpu_model_runner.py:92] Warming up done. [e2e-llm-inference-service] (EngineCore pid=70) INFO 07-07 16:05:22 [v1/engine/core.py:283] init engine (profile, create kv cache, warmup model) took 153.50 seconds [e2e-llm-inference-service] (EngineCore pid=70) DEBUG 07-07 16:05:22 [tokenizers/registry.py:68] Loading CachedHfTokenizer for tokenizer_mode='hf' [e2e-llm-inference-service] (EngineCore pid=70) DEBUG 07-07 16:05:24 [utils/gc_utils.py:40] GC Debug Config. enabled:False,top_objects:-1 [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:05:24 [v1/engine/utils.py:1158] READY from local core engine process 0. [e2e-llm-inference-service] (EngineCore pid=70) INFO 07-07 16:05:24 [config/vllm.py:790] Asynchronous scheduling is disabled. [e2e-llm-inference-service] (EngineCore pid=70) WARNING 07-07 16:05:24 [config/vllm.py:859] Inductor compilation was disabled by user settings, optimizations settings that are only active during inductor compilation will be ignored. [e2e-llm-inference-service] (EngineCore pid=70) DEBUG 07-07 16:05:24 [v1/engine/core.py:1158] EngineCore waiting for work. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:05:24 [v1/metrics/loggers.py:273] Engine 000: vllm cache_config_info with initialization after num_gpu_blocks is: 227 [e2e-llm-inference-service] (EngineCore pid=70) DEBUG 07-07 16:05:24 [v1/engine/core.py:1158] EngineCore waiting for work. [e2e-llm-inference-service] (EngineCore pid=70) DEBUG 07-07 16:05:24 [v1/engine/core.py:1158] EngineCore waiting for work. [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 16:05:24 [entrypoints/openai/api_server.py:590] Supported tasks: ['generate'] [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:05:25 [renderers/base.py:197] Warming up chat template processing... [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:05:25 [renderers/hf.py:122] Failed to load AutoTokenizer chat template for /mnt/models [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:05:25 [renderers/hf.py:122] Traceback (most recent call last): [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:05:25 [renderers/hf.py:122] File "/opt/venv/lib/python3.12/site-packages/vllm/renderers/hf.py", line 120, in resolve_chat_template [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:05:25 [renderers/hf.py:122] return tokenizer.get_chat_template(chat_template, tools=tools) [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:05:25 [renderers/hf.py:122] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:05:25 [renderers/hf.py:122] File "/opt/venv/lib/python3.12/site-packages/transformers/tokenization_utils_base.py", line 1825, in get_chat_template [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:05:25 [renderers/hf.py:122] raise ValueError( [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:05:25 [renderers/hf.py:122] ValueError: Cannot use chat template functions because tokenizer.chat_template is not set and no template argument was passed! For information about writing templates and setting the tokenizer.chat_template attribute, please see the documentation at https://huggingface.co/docs/transformers/main/en/chat_templating [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:05:25 [renderers/hf.py:141] There is no chat template fallback for /mnt/models [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 16:05:25 [renderers/hf.py:314] Detected the chat template content format to be 'string'. You can set `--chat-template-content-format` to override this. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:05:25 [renderers/hf.py:122] Failed to load AutoTokenizer chat template for /mnt/models [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:05:25 [renderers/hf.py:122] Traceback (most recent call last): [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:05:25 [renderers/hf.py:122] File "/opt/venv/lib/python3.12/site-packages/vllm/renderers/hf.py", line 120, in resolve_chat_template [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:05:25 [renderers/hf.py:122] return tokenizer.get_chat_template(chat_template, tools=tools) [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:05:25 [renderers/hf.py:122] ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:05:25 [renderers/hf.py:122] File "/opt/venv/lib/python3.12/site-packages/transformers/tokenization_utils_base.py", line 1825, in get_chat_template [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:05:25 [renderers/hf.py:122] raise ValueError( [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:05:25 [renderers/hf.py:122] ValueError: Cannot use chat template functions because tokenizer.chat_template is not set and no template argument was passed! For information about writing templates and setting the tokenizer.chat_template attribute, please see the documentation at https://huggingface.co/docs/transformers/main/en/chat_templating [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:05:25 [renderers/base.py:205] This model does not support chat template. [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 16:05:25 [entrypoints/openai/api_server.py:594] Starting vLLM server on https://0.0.0.0:8001 [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 16:05:25 [entrypoints/launcher.py:37] Available routes are: [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 16:05:25 [entrypoints/launcher.py:46] Route: /openapi.json, Methods: GET, HEAD [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 16:05:25 [entrypoints/launcher.py:46] Route: /docs, Methods: GET, HEAD [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 16:05:25 [entrypoints/launcher.py:46] Route: /docs/oauth2-redirect, Methods: GET, HEAD [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 16:05:25 [entrypoints/launcher.py:46] Route: /redoc, Methods: GET, HEAD [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 16:05:25 [entrypoints/launcher.py:46] Route: /tokenize, Methods: POST [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 16:05:25 [entrypoints/launcher.py:46] Route: /detokenize, Methods: POST [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 16:05:25 [entrypoints/launcher.py:46] Route: /load, Methods: GET [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 16:05:25 [entrypoints/launcher.py:46] Route: /version, Methods: GET [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 16:05:25 [entrypoints/launcher.py:46] Route: /health, Methods: GET [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 16:05:25 [entrypoints/launcher.py:46] Route: /metrics, Methods: GET [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 16:05:25 [entrypoints/launcher.py:46] Route: /v1/models, Methods: GET [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 16:05:25 [entrypoints/launcher.py:46] Route: /ping, Methods: GET [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 16:05:25 [entrypoints/launcher.py:46] Route: /ping, Methods: POST [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 16:05:25 [entrypoints/launcher.py:46] Route: /invocations, Methods: POST [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 16:05:25 [entrypoints/launcher.py:46] Route: /v1/chat/completions, Methods: POST [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 16:05:25 [entrypoints/launcher.py:46] Route: /v1/chat/completions/batch, Methods: POST [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 16:05:25 [entrypoints/launcher.py:46] Route: /v1/responses, Methods: POST [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 16:05:25 [entrypoints/launcher.py:46] Route: /v1/responses/{response_id}, Methods: GET [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 16:05:25 [entrypoints/launcher.py:46] Route: /v1/responses/{response_id}/cancel, Methods: POST [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 16:05:25 [entrypoints/launcher.py:46] Route: /v1/completions, Methods: POST [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 16:05:25 [entrypoints/launcher.py:46] Route: /v1/messages, Methods: POST [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 16:05:25 [entrypoints/launcher.py:46] Route: /v1/messages/count_tokens, Methods: POST [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 16:05:25 [entrypoints/launcher.py:46] Route: /inference/v1/generate, Methods: POST [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 16:05:25 [entrypoints/launcher.py:46] Route: /scale_elastic_ep, Methods: POST [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 16:05:25 [entrypoints/launcher.py:46] Route: /is_scaling_elastic_ep, Methods: POST [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 16:05:25 [entrypoints/launcher.py:46] Route: /v1/chat/completions/render, Methods: POST [e2e-llm-inference-service] (APIServer pid=1) INFO 07-07 16:05:25 [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 07-07 16:05:25 [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 07-07 16:05:30 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:05:35 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:05:45 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:05:55 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:06:05 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:06:15 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:06:25 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:06:35 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:06:45 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:06:55 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:07:05 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:07:15 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:07:25 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:07:35 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:07:45 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:07:55 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:08:05 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:08:15 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:08:25 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:08:35 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:08:45 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:08:55 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:09:05 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:09:15 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:09:25 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:09:35 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:09:45 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:09:55 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:10:05 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:10:15 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:10:25 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:10:35 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:10:45 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:10:55 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:11:05 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:11:15 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:11:25 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:11:35 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:11:45 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:11:55 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:12:05 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:12:15 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:12:25 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:12:35 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:12:45 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:12:55 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:13:05 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:13:15 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:13:25 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:13:35 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:13:45 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:13:55 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:14:05 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:14:15 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:14:25 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:14:35 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:14:45 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:14:55 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:15:05 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:15:15 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:15:25 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:15:35 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:15:45 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:15:55 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:16:05 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:16:15 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:16:25 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:16:35 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:16:45 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:16:55 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:17:05 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:17:15 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:17:25 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:17:35 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:17:45 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:17:55 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:18:05 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:18:15 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:18:25 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:18:35 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:18:45 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:18:55 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:19:05 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:19:15 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:19:25 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:19:35 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:19:45 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:19:55 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:20:05 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:20:15 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:20:25 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:20:35 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:148 ### Pod custom-route-timeout-pd-test-kserve-prefill-7c7977969-w26n9 (phase=Running) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:188 #### init-container 'storage-initializer' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:201 # -- logs (current) -- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:202 2026-07-07 16:01:20.842 1 storage.initializer INFO [initializer-entrypoint:():17] Initializing, args: (src_uri, dest_path): [('hf://facebook/opt-125m', '/mnt/models')] [e2e-llm-inference-service] 2026-07-07 16:01:20.843 1 storage.initializer INFO [kserve_storage.py:download():166] Copying contents of hf://facebook/opt-125m to local [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/wPaCkH-WbT7GsmxMKKrNZTV4nSM=.ac481c8eb05e4d2496fbe076a38a7b4835dd733d.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_478b4bc5-ae5f-4d0b-a708-ecf1c49f517b'. [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_3950b31e-8754-44b8-8a8b-d5fd92e089d9'. [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_bd136d47-4a22-418e-b2ba-0918d642b97c'. [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_389217c2-6ca4-46b7-b810-b312131fc037'. [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_e1bad1c6-b9ad-48dc-9088-06105372f0d9'. [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_706b3367-f7cd-4f30-9745-12420472c4cd'. [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_b556bdf6-94d3-4caa-b6a3-ef807910dd6e'. [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_7fa022ac-d1a4-4a47-a5bd-c05a6cecf150'. [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_a6ec01fb-5f56-473f-91b6-56c743f49f47'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/a7eHxRFT3OeMBIFg52k2nfj5m7w=.db7090b0c8b34dd957a7e0656c718f978f9203cc874018f37dda44108be5970a.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_5389290e-1f72-4004-bc23-27192b95c932'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/vzaExXFZNBay89bvlQv-ZcI6BTg=.27c24ca9d908d0b678b20c698aeb9e950c44d865.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_76971fdf-54db-4548-8ddd-821f367fbaac'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/j3m-Hy6QvBddw8RXA1uSWl1AJ0c=.0a39732b2d8be8e493cab3da68b68cc3e28221de.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_aa4ef0fa-8391-4987-9620-0ea9f3997b38'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] 2026-07-07 16:01:25.107 1 storage.initializer INFO [kserve_storage.py:download():234] Successfully copied hf://facebook/opt-125m to /mnt/models [e2e-llm-inference-service] 2026-07-07 16:01:25.107 1 storage.initializer INFO [kserve_storage.py:download():235] Model downloaded in 4.264563075999831 seconds. [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:188 #### container 'main' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:201 # -- logs (current) -- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:202 (APIServer pid=1) DEBUG 07-07 16:06:20 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:06:25 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:06:30 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:06:35 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:06:40 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:06:45 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:06:50 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:06:50 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:06:55 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:07:00 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:07:05 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:07:10 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:07:15 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:07:20 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:07:20 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:07:25 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:07:30 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:07:35 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:07:40 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:07:45 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:07:50 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:07:50 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:07:55 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:08:00 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:08:05 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:08:10 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:08:15 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:08:20 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:08:20 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:08:25 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:08:30 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:08:35 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:08:40 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:08:45 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:08:50 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:08:50 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:08:55 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:09:00 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:09:05 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:09:10 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:09:15 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:09:20 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:09:20 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:09:25 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:09:30 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:09:35 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:09:40 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:09:45 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:09:50 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:09:50 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:09:55 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:10:00 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:10:05 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:10:10 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:10:15 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:10:20 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:10:20 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:10:25 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:10:30 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:10:35 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:10:40 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:10:45 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:10:50 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:10:50 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:10:55 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:11:00 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:11:05 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:11:10 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:11:15 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:11:20 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:11:20 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:11:25 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:11:30 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:11:35 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:11:40 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:11:45 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:11:50 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:11:50 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:11:55 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:12:00 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:12:05 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:12:10 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:12:15 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:12:20 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:12:20 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:12:25 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:12:30 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:12:35 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:12:40 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:12:45 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:12:50 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:12:50 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:12:55 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:13:00 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:13:05 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:13:10 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:13:15 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:13:20 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:13:20 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:13:25 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:13:30 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:13:35 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:13:40 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:13:45 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:13:50 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:13:50 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:13:55 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:14:00 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:14:05 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:14:10 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:14:15 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:14:20 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:14:20 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:14:25 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:14:30 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:14:35 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:14:40 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:14:45 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:14:50 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:14:50 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:14:55 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:15:00 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:15:05 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:15:10 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:15:15 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:15:20 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:15:20 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:15:25 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:15:30 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:15:35 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:15:40 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:15:45 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:15:50 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:15:50 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:15:55 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:16:00 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:16:05 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:16:10 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:16:15 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:16:20 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:16:20 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:16:25 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:16:30 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:16:35 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:16:40 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:16:45 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:16:50 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:16:50 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:16:55 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:17:00 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:17:05 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:17:10 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:17:15 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:17:20 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:17:20 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:17:25 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:17:30 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:17:35 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:17:40 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:17:45 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:17:50 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:17:50 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:17:55 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:18:00 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:18:05 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:18:10 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:18:15 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:18:20 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:18:20 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:18:25 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:18:30 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:18:35 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:18:40 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:18:45 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:18:50 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:18:50 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:18:55 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:19:00 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:19:05 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:19:10 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:19:15 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:19:20 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:19:20 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:19:25 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:19:30 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:19:35 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:19:40 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:19:45 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:19:50 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:19:50 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:19:55 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:20:00 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:20:05 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:20:10 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:20:15 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:20:20 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:20:20 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:20:25 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:20:30 [v1/engine/async_llm.py:875] Called check_health. [e2e-llm-inference-service] (APIServer pid=1) DEBUG 07-07 16:20:35 [v1/metrics/loggers.py:259] Engine 000: Avg prompt throughput: 0.0 tokens/s, Avg generation throughput: 0.0 tokens/s, Running: 0 reqs, Waiting: 0 reqs, GPU KV cache usage: 0.0%, Prefix cache hit rate: 0.0% [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:148 ### Pod custom-route-timeout-pd-test-kserve-router-scheduler-859d8b5s4w (phase=Running) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:188 #### init-container 'storage-initializer' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:201 # -- logs (current) -- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:202 2026-07-07 16:01:21.085 1 storage.initializer INFO [initializer-entrypoint:():17] Initializing, args: (src_uri, dest_path): [('hf://facebook/opt-125m', '/mnt/models')] [e2e-llm-inference-service] 2026-07-07 16:01:21.085 1 storage.initializer INFO [kserve_storage.py:download():166] Copying contents of hf://facebook/opt-125m to local [e2e-llm-inference-service] 2026-07-07 16:01:21.085 1 storage.initializer INFO [kserve_storage.py:download():169] Allow patterns: ['tokenizer.json', 'tokenizer_config.json', 'special_tokens_map.json', 'vocab.json', 'merges.txt', 'config.json', 'generation_config.json'] [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/8_PA_wEVGiVa2goH2H4KQOQpvVY=.b3fb716a3024261980becb2382e31a3780985130.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_87ebe129-c3c5-40d7-8c89-b8ae6a102635'. [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_790562fb-667e-4999-bc5a-b5a8e4c535d1'. [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_9dc058bd-53d1-4648-8f8e-a28eb6e2306f'. [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_8483805e-0154-44c5-8842-17f61e1066c1'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/vzaExXFZNBay89bvlQv-ZcI6BTg=.27c24ca9d908d0b678b20c698aeb9e950c44d865.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_997977a4-bd9c-4a9e-b098-488584e7facd'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] Could not set the permissions on the file '/mnt/models/.cache/huggingface/download/j3m-Hy6QvBddw8RXA1uSWl1AJ0c=.0a39732b2d8be8e493cab3da68b68cc3e28221de.incomplete'. Error: [Errno 13] Permission denied: '/mnt/tmp_3032c665-3382-4586-93c6-a4af3aec7271'. [e2e-llm-inference-service] Continuing without setting permissions. [e2e-llm-inference-service] 2026-07-07 16:01:21.511 1 storage.initializer INFO [kserve_storage.py:download():234] Successfully copied hf://facebook/opt-125m to /mnt/models [e2e-llm-inference-service] 2026-07-07 16:01:21.511 1 storage.initializer INFO [kserve_storage.py:download():235] Model downloaded in 0.4263848760001565 seconds. [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:188 #### container 'main' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:201 # -- logs (current) -- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:202 {"level":"info","ts":1783440082.0558925,"logger":"setup","caller":"runner/runner.go:196","msg":"GIE build","commit-sha":"181aa8358916e19b8844ccc752b2d6153d4b2ad6","build-ref":"v0.9.0-rc.2"} [e2e-llm-inference-service] Flag --model-server-metrics-scheme has been deprecated, This flag is deprecated. Configure via EndpointPickerConfig data layer plugin parameters instead. [e2e-llm-inference-service] {"level":"info","ts":1783440082.0560384,"logger":"setup","caller":"runner/runner.go:217","msg":"Flags processed","flags":{"cert-path":"/var/run/kserve/tls","config-file":"","config-text":"apiVersion: inference.networking.x-k8s.io/v1alpha1\nkind: EndpointPickerConfig\nplugins:\n- type: disagg-headers-handler\n- type: prefill-filter\n- type: decode-filter\n- type: queue-scorer\n- type: prefix-cache-scorer\n- type: max-score-picker\n- type: always-disagg-pd-decider\n- parameters:\n deciders:\n prefill: always-disagg-pd-decider\n type: disagg-profile-handler\nschedulingProfiles:\n- name: prefill\n plugins:\n - pluginRef: prefill-filter\n - pluginRef: queue-scorer\n weight: 2\n - pluginRef: prefix-cache-scorer\n weight: 3\n - pluginRef: max-score-picker\n- name: decode\n plugins:\n - pluginRef: decode-filter\n - pluginRef: queue-scorer\n weight: 2\n - pluginRef: prefix-cache-scorer\n weight: 3\n - pluginRef: max-score-picker\n","disable-endpoint-subset-filter":false,"enable-cert-reload":true,"enable-grpc-stream-metrics":false,"enable-pprof":true,"endpoint-selector":"","endpoint-target-ports":{},"grpc-health-port":9003,"grpc-max-recv-msg-size":"","grpc-max-send-msg-size":"","grpc-port":9002,"ha-enable-leader-election":false,"health-checking":false,"metrics-endpoint-auth":true,"metrics-port":9090,"metrics-staleness-threshold":2000000000,"model-server-metrics-https-insecure-skip-verify":true,"model-server-metrics-path":"/metrics","model-server-metrics-port":0,"model-server-metrics-scheme":"https","pool-group":"inference.networking.k8s.io","pool-name":"custom-route-timeout-pd-test-inference-pool","pool-namespace":"kserve-ci-e2e-test","refresh-metrics-interval":50000000,"refresh-prometheus-metrics-interval":5000000000,"secure-serving":true,"tracing":true,"v":2,"zap-devel":{},"zap-encoder":{},"zap-log-level":{},"zap-stacktrace-level":{},"zap-time-encoding":{}}} [e2e-llm-inference-service] {"level":"info","ts":1783440082.056249,"logger":"setup.trace","caller":"tracing/telemetry.go:123","msg":"init OTel trace exporter","type":"console"} [e2e-llm-inference-service] {"level":"info","ts":1783440082.0568326,"caller":"loader/configloader.go:89","msg":"DEPRECATION: apiVersion inference.networking.x-k8s.io/v1alpha1/EndpointPickerConfig is deprecated","replacement":"llm-d.ai/v1alpha1/EndpointPickerConfig"} [e2e-llm-inference-service] {"level":"info","ts":1783440082.0568922,"caller":"loader/configloader.go:121","msg":"Loaded raw configuration","config":"{Plugins: [{Type: disagg-headers-handler} {Type: prefill-filter} {Type: decode-filter} {Type: queue-scorer} {Type: prefix-cache-scorer} {Type: max-score-picker} {Type: always-disagg-pd-decider} {Type: disagg-profile-handler, Parameters: {\"deciders\":{\"prefill\":\"always-disagg-pd-decider\"}}}], SchedulingProfiles: [{Name: prefill, Plugins: [{PluginRef: prefill-filter} {PluginRef: queue-scorer, Weight: 2.00} {PluginRef: prefix-cache-scorer, Weight: 3.00} {PluginRef: max-score-picker}]} {Name: decode, Plugins: [{PluginRef: decode-filter} {PluginRef: queue-scorer, Weight: 2.00} {PluginRef: prefix-cache-scorer, Weight: 3.00} {PluginRef: max-score-picker}]}]}"} [e2e-llm-inference-service] {"level":"info","ts":1783440082.0569086,"logger":"setup","caller":"runner/runner.go:622","msg":"Data layer: ENABLED"} [e2e-llm-inference-service] {"level":"info","ts":1783440082.0572307,"logger":"setup","caller":"runner/runner.go:281","msg":"Raw config after phase one","config":{"apiVersion":"inference.networking.x-k8s.io/v1alpha1","dataLayer":null,"kind":"EndpointPickerConfig","plugins":[{"name":"disagg-headers-handler","parameters":null,"type":"disagg-headers-handler"},{"name":"prefill-filter","parameters":null,"type":"prefill-filter"},{"name":"decode-filter","parameters":null,"type":"decode-filter"},{"name":"queue-scorer","parameters":null,"type":"queue-scorer"},{"name":"prefix-cache-scorer","parameters":null,"type":"prefix-cache-scorer"},{"name":"max-score-picker","parameters":null,"type":"max-score-picker"},{"name":"always-disagg-pd-decider","parameters":null,"type":"always-disagg-pd-decider"},{"name":"disagg-profile-handler","parameters":{"deciders":{"prefill":"always-disagg-pd-decider"}},"type":"disagg-profile-handler"}],"schedulingProfiles":[{"name":"prefill","plugins":[{"pluginRef":"prefill-filter","weight":null},{"pluginRef":"queue-scorer","weight":2},{"pluginRef":"prefix-cache-scorer","weight":3},{"pluginRef":"max-score-picker","weight":null}]},{"name":"decode","plugins":[{"pluginRef":"decode-filter","weight":null},{"pluginRef":"queue-scorer","weight":2},{"pluginRef":"prefix-cache-scorer","weight":3},{"pluginRef":"max-score-picker","weight":null}]}]}} [e2e-llm-inference-service] {"level":"info","ts":1783440082.0804524,"caller":"disagg/disagg_profile_handler.go:186","msg":"No deciders.encode configured, E disaggregation disabled"} [e2e-llm-inference-service] {"level":"info","ts":1783440082.0805187,"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":1783440082.0806067,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"vllm","mapping":"Mapping{all specs enabled}"} [e2e-llm-inference-service] {"level":"info","ts":1783440082.0806432,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"sglang","mapping":"Mapping{disabled: [lora]}"} [e2e-llm-inference-service] {"level":"info","ts":1783440082.0806808,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"trtllm-serve","mapping":"Mapping{disabled: [lora, cacheInfo]}"} [e2e-llm-inference-service] {"level":"info","ts":1783440082.0807486,"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":1783440082.0807698,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"triton","mapping":"Mapping{disabled: [kv, lora, cacheInfo]}"} [e2e-llm-inference-service] {"level":"info","ts":1783440082.0808356,"caller":"loader/configloader.go:154","msg":"Instantiated all plugins and applied system defaults. Effective raw configuration","config":"{Plugins: [{Name: disagg-headers-handler, Type: disagg-headers-handler} {Name: prefill-filter, Type: prefill-filter} {Name: decode-filter, Type: decode-filter} {Name: queue-scorer, Type: queue-scorer} {Name: prefix-cache-scorer, Type: prefix-cache-scorer} {Name: max-score-picker, Type: max-score-picker} {Name: always-disagg-pd-decider, Type: always-disagg-pd-decider} {Name: disagg-profile-handler, Type: disagg-profile-handler, Parameters: {\"deciders\":{\"prefill\":\"always-disagg-pd-decider\"}}} {Name: fcfs-ordering-policy, Type: fcfs-ordering-policy} {Name: global-strict-fairness-policy, Type: global-strict-fairness-policy} {Name: static-usage-limit-policy, Type: static-usage-limit-policy} {Name: openai-parser, Type: openai-parser} {Name: anthropic-parser, Type: anthropic-parser} {Name: vllmhttp-parser, Type: vllmhttp-parser} {Name: utilization-detector, Type: utilization-detector} {Name: metrics-data-source, Type: metrics-data-source} {Name: core-metrics-extractor, Type: core-metrics-extractor}], SchedulingProfiles: [{Name: prefill, Plugins: [{PluginRef: prefill-filter} {PluginRef: queue-scorer, Weight: 2.00} {PluginRef: prefix-cache-scorer, Weight: 3.00} {PluginRef: max-score-picker}]} {Name: decode, Plugins: [{PluginRef: decode-filter} {PluginRef: queue-scorer, Weight: 2.00} {PluginRef: prefix-cache-scorer, Weight: 3.00} {PluginRef: max-score-picker}]}], DataLayer: {Sources: [{PluginRef: metrics-data-source, Extractors: [{PluginRef: core-metrics-extractor}]}], Discovery: }, FlowControl: {MaxBytes: unlimited, MaxRequests: unlimited, SaturationDetector: {PluginRef: utilization-detector}}, RequestHandler: {Parsers: [{PluginRef: openai-parser}, {PluginRef: anthropic-parser}, {PluginRef: vllmhttp-parser}]}}"} [e2e-llm-inference-service] {"level":"info","ts":1783440082.0809038,"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":1783440082.0809643,"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":1783440082.0809853,"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":1783440082.0810068,"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":1783440082.081121,"caller":"runner/runner.go:685","msg":"loaded configuration from file/text successfully"} [e2e-llm-inference-service] {"level":"info","ts":1783440082.0811331,"logger":"setup","caller":"runner/runner.go:308","msg":"EPP config after phase two","config":"{SchedulerConfig:{ProfileHandler: disagg-profile-handler/disagg-profile-handler, Profiles: map[decode:{Filters: [decode-filter/by-label], Scorers: [queue-scorer/queue-scorer: 2.000000, prefix-cache-scorer/prefix-cache-scorer: 3.000000], Picker: max-score-picker/max-score-picker} prefill:{Filters: [prefill-filter/by-label], Scorers: [queue-scorer/queue-scorer: 2.000000, prefix-cache-scorer/prefix-cache-scorer: 3.000000], Picker: max-score-picker/max-score-picker}]} SaturationDetector:0xc00046fc00 DataConfig:{Sources:[{Plugin:0xc0008082d0 Extractors:[0xc000782100]}]} FlowControlConfig: ParserRegistry:0xc000782700}"} [e2e-llm-inference-service] {"level":"info","ts":1783440082.0998385,"logger":"setup","caller":"runner/runner.go:352","msg":"Setting pprof handlers"} [e2e-llm-inference-service] {"level":"info","ts":1783440082.099882,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/cmdline"} [e2e-llm-inference-service] {"level":"info","ts":1783440082.0999007,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/trace"} [e2e-llm-inference-service] {"level":"info","ts":1783440082.099906,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/heap"} [e2e-llm-inference-service] {"level":"info","ts":1783440082.0999107,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/goroutine"} [e2e-llm-inference-service] {"level":"info","ts":1783440082.0999155,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/allocs"} [e2e-llm-inference-service] {"level":"info","ts":1783440082.0999198,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/threadcreate"} [e2e-llm-inference-service] {"level":"info","ts":1783440082.0999243,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/mutex"} [e2e-llm-inference-service] {"level":"info","ts":1783440082.0999284,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/"} [e2e-llm-inference-service] {"level":"info","ts":1783440082.0999331,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/profile"} [e2e-llm-inference-service] {"level":"info","ts":1783440082.0999374,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/symbol"} [e2e-llm-inference-service] {"level":"info","ts":1783440082.0999417,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/block"} [e2e-llm-inference-service] {"level":"info","ts":1783440082.09995,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/plugins/state"} [e2e-llm-inference-service] {"level":"info","ts":1783440082.0999548,"logger":"setup","caller":"runner/runner.go:373","msg":"parsed config","scheduler-config":"{ProfileHandler: disagg-profile-handler/disagg-profile-handler, Profiles: map[decode:{Filters: [decode-filter/by-label], Scorers: [queue-scorer/queue-scorer: 2.000000, prefix-cache-scorer/prefix-cache-scorer: 3.000000], Picker: max-score-picker/max-score-picker} prefill:{Filters: [prefill-filter/by-label], Scorers: [queue-scorer/queue-scorer: 2.000000, prefix-cache-scorer/prefix-cache-scorer: 3.000000], Picker: max-score-picker/max-score-picker}]}"} [e2e-llm-inference-service] {"level":"info","ts":1783440082.099992,"logger":"setup","caller":"datalayer/runtime.go:99","msg":"Configuring datalayer runtime","numSources":1} [e2e-llm-inference-service] {"level":"info","ts":1783440082.1000018,"logger":"setup","caller":"datalayer/runtime.go:118","msg":"Processing source","source":"metrics-data-source","numExtractors":1} [e2e-llm-inference-service] {"level":"info","ts":1783440082.100017,"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":1783440082.1000319,"logger":"setup","caller":"datalayer/runtime.go:206","msg":"Datalayer runtime configured","pollers":1,"notifiers":0,"endpointSources":0} [e2e-llm-inference-service] {"level":"info","ts":1783440082.1000416,"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":1783440082.1001422,"logger":"setup","caller":"runner/runner.go:721","msg":"ExtProc server runner added to manager."} [e2e-llm-inference-service] {"level":"info","ts":1783440082.1001527,"logger":"setup","caller":"runner/runner.go:260","msg":"Controller manager starting"} [e2e-llm-inference-service] {"level":"info","ts":1783440082.1002004,"logger":"controller-runtime.metrics","caller":"server/server.go:208","msg":"Starting metrics server"} [e2e-llm-inference-service] {"level":"info","ts":1783440082.1004298,"caller":"runnable/grpc.go:35","msg":"gRPC server starting","name":"health"} [e2e-llm-inference-service] {"level":"info","ts":1783440082.1006413,"caller":"runnable/grpc.go:43","msg":"gRPC server listening","name":"health","port":9003} [e2e-llm-inference-service] {"level":"info","ts":1783440082.1008425,"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":1783440082.1011086,"logger":"controller-runtime.metrics","caller":"server/server.go:247","msg":"Serving metrics server","bindAddress":":9090","secure":false} [e2e-llm-inference-service] {"level":"info","ts":1783440082.1013188,"caller":"runnable/grpc.go:35","msg":"gRPC server starting","name":"ext-proc"} [e2e-llm-inference-service] {"level":"info","ts":1783440082.101397,"caller":"runnable/grpc.go:43","msg":"gRPC server listening","name":"ext-proc","port":9002} [e2e-llm-inference-service] {"level":"info","ts":1783440082.101393,"caller":"controller/controller.go:370","msg":"Starting EventSource","controller":"inferencemodelrewrite","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceModelRewrite","source":"kind source: *v1alpha2.InferenceModelRewrite"} [e2e-llm-inference-service] {"level":"info","ts":1783440082.1014705,"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":1783440082.1015437,"caller":"controller/controller.go:370","msg":"Starting EventSource","controller":"inferenceobjective","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceObjective","source":"kind source: *v1alpha2.InferenceObjective"} [e2e-llm-inference-service] {"level":"info","ts":1783440082.106317,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1.InferencePool","reflector":"pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1783440082.1065278,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1alpha2.InferenceModelRewrite","reflector":"pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1783440082.1066475,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1alpha2.InferenceObjective","reflector":"pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1783440082.1094887,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1.Pod","reflector":"pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1783440082.2018838,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"inferenceobjective","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceObjective"} [e2e-llm-inference-service] {"level":"info","ts":1783440082.2019238,"caller":"controller/controller.go:306","msg":"Starting workers","controller":"inferenceobjective","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceObjective","worker count":1} [e2e-llm-inference-service] {"level":"info","ts":1783440082.2018898,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"inferencemodelrewrite","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceModelRewrite"} [e2e-llm-inference-service] {"level":"info","ts":1783440082.2019563,"caller":"controller/controller.go:306","msg":"Starting workers","controller":"inferencemodelrewrite","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceModelRewrite","worker count":1} [e2e-llm-inference-service] {"level":"info","ts":1783440082.3017929,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"inferencepool","controllerGroup":"inference.networking.k8s.io","controllerKind":"InferencePool"} [e2e-llm-inference-service] {"level":"info","ts":1783440082.3018422,"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":1783440082.3018165,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"pod","controllerGroup":"","controllerKind":"Pod"} [e2e-llm-inference-service] {"level":"info","ts":1783440082.301922,"caller":"controller/controller.go:306","msg":"Starting workers","controller":"pod","controllerGroup":"","controllerKind":"Pod","worker count":1} [e2e-llm-inference-service] {"level":"info","ts":1783440082.3019893,"caller":"controller/inferencepool_reconciler.go:46","msg":"Reconciling InferencePool","controller":"inferencepool","controllerGroup":"inference.networking.k8s.io","controllerKind":"InferencePool","InferencePool":{"name":"custom-route-timeout-pd-test-inference-pool","namespace":"kserve-ci-e2e-test"},"namespace":"kserve-ci-e2e-test","name":"custom-route-timeout-pd-test-inference-pool","reconcileID":"d3d3ad44-51e4-4e6f-9bad-a0436a1dcebb"} [e2e-llm-inference-service] {"level":"info","ts":1783440113.9202907,"caller":"controller/inferencepool_reconciler.go:46","msg":"Reconciling InferencePool","controller":"inferencepool","controllerGroup":"inference.networking.k8s.io","controllerKind":"InferencePool","InferencePool":{"name":"custom-route-timeout-pd-test-inference-pool","namespace":"kserve-ci-e2e-test"},"namespace":"kserve-ci-e2e-test","name":"custom-route-timeout-pd-test-inference-pool","reconcileID":"b4e6c492-fb9a-441c-b63e-0bcd065593bf"} [e2e-llm-inference-service] {"level":"info","ts":1783440330.283541,"caller":"controller/pod_reconciler.go:99","msg":"Pod already exists","controller":"pod","controllerGroup":"","controllerKind":"Pod","Pod":{"name":"custom-route-timeout-pd-test-kserve-84686ccc5b-jlf6l","namespace":"kserve-ci-e2e-test"},"namespace":"kserve-ci-e2e-test","name":"custom-route-timeout-pd-test-kserve-84686ccc5b-jlf6l","reconcileID":"315a6392-ad36-47c1-b819-d9b1741211f4"} [e2e-llm-inference-service] {"level":"info","ts":1783440330.3108444,"caller":"controller/pod_reconciler.go:99","msg":"Pod already exists","controller":"pod","controllerGroup":"","controllerKind":"Pod","Pod":{"name":"custom-route-timeout-pd-test-kserve-prefill-7c7977969-w26n9","namespace":"kserve-ci-e2e-test"},"namespace":"kserve-ci-e2e-test","name":"custom-route-timeout-pd-test-kserve-prefill-7c7977969-w26n9","reconcileID":"7d3508b7-e54d-4648-8e2b-072310dff404"} [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-pd-test-epp-service [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: ec0d0c60-4b25-4281-9e8a-90a5fb9f2f69 [e2e-llm-inference-service] resourceVersion: '70389' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:01:20Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] endpoints.kubernetes.io/managed-by: endpoint-controller [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] endpoints.kubernetes.io/last-change-trigger-time: '2026-07-07T16:01:53Z' [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: '2026-07-07T16:01:53Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/last-change-trigger-time: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/managed-by: {} [e2e-llm-inference-service] f:subsets: {} [e2e-llm-inference-service] subsets: [e2e-llm-inference-service] - addresses: [e2e-llm-inference-service] - ip: 10.133.0.42 [e2e-llm-inference-service] nodeName: ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: custom-route-timeout-pd-test-kserve-router-scheduler-859d8b5s4w [e2e-llm-inference-service] uid: 60df7c70-cbe9-4723-8613-535e200b080b [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] port: 9090 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] port: 5557 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] port: 9002 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Endpoints [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-pd-test-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: bd9ce0d5-42f3-40a6-b3e5-6144b49b7e66 [e2e-llm-inference-service] resourceVersion: '73626' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:01:19Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] endpoints.kubernetes.io/managed-by: endpoint-controller [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] endpoints.kubernetes.io/last-change-trigger-time: '2026-07-07T16:05:30Z' [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: '2026-07-07T16:05:30Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/last-change-trigger-time: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:endpoints.kubernetes.io/managed-by: {} [e2e-llm-inference-service] f:subsets: {} [e2e-llm-inference-service] subsets: [e2e-llm-inference-service] - addresses: [e2e-llm-inference-service] - ip: 10.134.0.47 [e2e-llm-inference-service] nodeName: ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: custom-route-timeout-pd-test-kserve-84686ccc5b-jlf6l [e2e-llm-inference-service] uid: 9ee4bc79-73b7-4285-b90f-89b648dc2689 [e2e-llm-inference-service] - ip: 10.134.0.48 [e2e-llm-inference-service] nodeName: ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: custom-route-timeout-pd-test-kserve-prefill-7c7977969-w26n9 [e2e-llm-inference-service] uid: 4e25ce6d-e57e-4dba-ac67-c0726a00c7bc [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: https [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] appProtocol: https [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Endpoints [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-pd-test-kserve-84686ccc5b-jlf6l [e2e-llm-inference-service] generateName: custom-route-timeout-pd-test-kserve-84686ccc5b- [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 9ee4bc79-73b7-4285-b90f-89b648dc2689 [e2e-llm-inference-service] resourceVersion: '73617' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:01:19Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: decode [e2e-llm-inference-service] pod-template-hash: 84686ccc5b [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] k8s.ovn.org/pod-networks: '{"default":{"ip_addresses":["10.134.0.47/23"],"mac_address":"0a:58:0a:86:00:2f","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":"10.134.0.47/23","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 \"10.134.0.47\"\n ],\n\ [e2e-llm-inference-service] \ \"mac\": \"0a:58:0a:86:00:2f\",\n \"default\": true,\n \"dns\": {}\n\ [e2e-llm-inference-service] }]" [e2e-llm-inference-service] openshift.io/scc: restricted-v2 [e2e-llm-inference-service] seccomp.security.alpha.kubernetes.io/pod: runtime/default [e2e-llm-inference-service] security.openshift.io/validated-scc-subject-type: user [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: apps/v1 [e2e-llm-inference-service] kind: ReplicaSet [e2e-llm-inference-service] name: custom-route-timeout-pd-test-kserve-84686ccc5b [e2e-llm-inference-service] uid: 47318d44-1472-4c2e-82e5-ac74049f386b [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: ip-10-0-138-195 [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-07T16:01:19Z' [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: '2026-07-07T16:01:19Z' [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":"47318d44-1472-4c2e-82e5-ac74049f386b"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_CACHE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HOME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"TORCHINDUCTOR_CACHE_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"USER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_CPU_KVCACHE_SPACE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_ENABLE_V1_MULTIPROCESSING"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_LOGGING_LEVEL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":8001,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:startupProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/dev/shm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] k:{"mountPath":"/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:enableServiceLinks: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"llm-d-routing-sidecar"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"INFERENCE_POOL_NAME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"INFERENCE_POOL_NAMESPACE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:fieldRef: {} [e2e-llm-inference-service] k:{"name":"SSL_CERT_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:serviceAccount: {} [e2e-llm-inference-service] f:serviceAccountName: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"dshm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:medium: {} [e2e-llm-inference-service] f:sizeLimit: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"model-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tmp-dir"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: multus-daemon [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-07T16:01:20Z' [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: '2026-07-07T16:05:30Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] k:{"type":"ContainersReady"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Initialized"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"PodReadyToStartContainers"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"PodScheduled"}: [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] k:{"type":"Ready"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:containerStatuses: {} [e2e-llm-inference-service] f:hostIP: {} [e2e-llm-inference-service] f:hostIPs: {} [e2e-llm-inference-service] f:initContainerStatuses: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:phase: {} [e2e-llm-inference-service] f:podIP: {} [e2e-llm-inference-service] f:podIPs: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"ip":"10.134.0.47"}: [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: custom-route-timeout-pd-test-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: kube-api-access-h5zfr [e2e-llm-inference-service] projected: [e2e-llm-inference-service] sources: [e2e-llm-inference-service] - serviceAccountToken: [e2e-llm-inference-service] expirationSeconds: 3607 [e2e-llm-inference-service] path: token [e2e-llm-inference-service] - configMap: [e2e-llm-inference-service] name: kube-root-ca.crt [e2e-llm-inference-service] items: [e2e-llm-inference-service] - key: ca.crt [e2e-llm-inference-service] path: ca.crt [e2e-llm-inference-service] - downwardAPI: [e2e-llm-inference-service] items: [e2e-llm-inference-service] - path: namespace [e2e-llm-inference-service] fieldRef: [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] fieldPath: metadata.namespace [e2e-llm-inference-service] - configMap: [e2e-llm-inference-service] name: openshift-service-ca.crt [e2e-llm-inference-service] items: [e2e-llm-inference-service] - key: service-ca.crt [e2e-llm-inference-service] path: service-ca.crt [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: llm-d-routing-sidecar [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-disagg-sidecar:v0.9.0-rc.2 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/pd-sidecar [e2e-llm-inference-service] - --port=8000 [e2e-llm-inference-service] - --vllm-port=8001 [e2e-llm-inference-service] - --kv-connector=nixlv2 [e2e-llm-inference-service] - --enable-ssrf-protection=true [e2e-llm-inference-service] - --pool-group=inference.networking.x-k8s.io [e2e-llm-inference-service] - --inference-pool=kserve-ci-e2e-test/custom-route-timeout-pd-test-inference-pool [e2e-llm-inference-service] - --secure-proxy=true [e2e-llm-inference-service] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] - --decoder-use-tls=true [e2e-llm-inference-service] - --prefiller-use-tls=true [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: INFERENCE_POOL_NAMESPACE [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] fieldRef: [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] fieldPath: metadata.namespace [e2e-llm-inference-service] - name: SSL_CERT_DIR [e2e-llm-inference-service] value: /var/run/kserve/tls:/var/run/secrets/kubernetes.io/serviceaccount:/etc/pki/tls/certs [e2e-llm-inference-service] - name: INFERENCE_POOL_NAME [e2e-llm-inference-service] value: custom-route-timeout-pd-test-inference-pool [e2e-llm-inference-service] resources: {} [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: kube-api-access-h5zfr [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: 1000700000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-h5zfr [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: 1000700000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/bash [e2e-llm-inference-service] - -c [e2e-llm-inference-service] - "if [ -f /etc/profile.d/ibm-aiu-setup.sh ]; then\n source /etc/profile.d/ibm-aiu-setup.sh\n\ [e2e-llm-inference-service] fi\n\nif [ \"$KSERVE_INFER_ROCE\" = \"true\" ]; then\n echo \"Trying to infer\ [e2e-llm-inference-service] \ RoCE configs ... \"\n grep -H . /sys/class/infiniband/*/ports/*/gids/* 2>/dev/null\n\ [e2e-llm-inference-service] \ grep -H . /sys/class/infiniband/*/ports/*/gid_attrs/types/* 2>/dev/null\n\ [e2e-llm-inference-service] \n cat /proc/driver/nvidia/params\n\n KSERVE_INFER_IB_GID_INDEX_GREP=${KSERVE_INFER_IB_GID_INDEX_GREP:-\"\ [e2e-llm-inference-service] RoCE v2\"}\n\n echo \"[Infer RoCE] Discovering active HCAs ...\"\n active_hcas=()\n\ [e2e-llm-inference-service] \ # Loop through all mlx5 devices found in sysfs\n for hca_dir in /sys/class/infiniband/mlx5_*;\ [e2e-llm-inference-service] \ do\n # Ensure it's a directory before proceeding\n if [ -d \"$hca_dir\"\ [e2e-llm-inference-service] \ ]; then\n hca_name=$(basename \"$hca_dir\")\n port_state_file=\"\ [e2e-llm-inference-service] $hca_dir/ports/1/state\" # Assume port 1\n type_file=\"$hca_dir/ports/1/gid_attrs/types/*\"\ [e2e-llm-inference-service] \n\n echo \"[Infer RoCE] Check if the port state file ${port_state_file}\ [e2e-llm-inference-service] \ exists and contains 'ACTIVE'\"\n if [ -f \"$port_state_file\" ] &&\ [e2e-llm-inference-service] \ grep -q \"ACTIVE\" \"$port_state_file\" && grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\"\ [e2e-llm-inference-service] \ ${type_file} 2>/dev/null; then\n echo \"[Infer RoCE] Found active\ [e2e-llm-inference-service] \ HCA: $hca_name\"\n active_hcas+=(\"$hca_name\")\n else\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Skipping inactive or down HCA: $hca_name\"\ [e2e-llm-inference-service] \n fi\n fi\n done\n\n # Check if we found any active HCAs\n\ [e2e-llm-inference-service] \ if [ ${#active_hcas[@]} -gt 0 ]; then\n # Join the array elements with\ [e2e-llm-inference-service] \ a comma\n hca_port_pairs=()\n for hca in \"${active_hcas[@]}\";\ [e2e-llm-inference-service] \ do\n hca_port_pairs+=(\"${hca}:1\")\n done\n\n active_hca_list=$(IFS=,;\ [e2e-llm-inference-service] \ echo \"${active_hcas[*]}\")\n hca_port_pairs_list=$(IFS=,; echo \"${hca_port_pairs[*]}\"\ [e2e-llm-inference-service] )\n echo \"[Infer RoCE] Setting active HCAs: ${active_hca_list}\"\n \ [e2e-llm-inference-service] \ export NCCL_IB_HCA=${NCCL_IB_HCA:-${active_hca_list}}\n export NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST:-${hca_port_pairs_list}}\n\ [e2e-llm-inference-service] \ export UCX_NET_DEVICES=${UCX_NET_DEVICES:-${hca_port_pairs_list}}\n\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] NCCL_IB_HCA=${NCCL_IB_HCA}\"\n echo \"[Infer\ [e2e-llm-inference-service] \ RoCE] NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST}\"\n echo \"[Infer RoCE] UCX_NET_DEVICES=${UCX_NET_DEVICES}\"\ [e2e-llm-inference-service] \n else\n echo \"[Infer RoCE] WARNING: No active RoCE HCAs found. NCCL_IB_HCA\ [e2e-llm-inference-service] \ will not be set.\"\n fi\n\n if [ ${#active_hcas[@]} -gt 0 ]; then\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Finding GID_INDEX for each active HCA (SR-IOV compatible)...\"\ [e2e-llm-inference-service] \n\n # For SR-IOV environments, find the most common IPv4 RoCE v2 GID index\ [e2e-llm-inference-service] \ across all HCAs\n declare -A gid_index_count\n declare -A hca_gid_index\n\ [e2e-llm-inference-service] \n for hca_name in \"${active_hcas[@]}\"; do\n echo \"[Infer RoCE]\ [e2e-llm-inference-service] \ Processing HCA: ${hca_name}\"\n\n # Find all RoCE v2 IPv4 GIDs for\ [e2e-llm-inference-service] \ this HCA and count by index\n for tpath in /sys/class/infiniband/${hca_name}/ports/1/gid_attrs/types/*;\ [e2e-llm-inference-service] \ do\n if grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\" \"$tpath\"\ [e2e-llm-inference-service] \ 2>/dev/null; then\n idx=$(basename \"$tpath\")\n \ [e2e-llm-inference-service] \ gid_file=\"/sys/class/infiniband/${hca_name}/ports/1/gids/${idx}\"\ [e2e-llm-inference-service] \n # Check for IPv4 GID (contains ffff:)\n \ [e2e-llm-inference-service] \ if [ -f \"$gid_file\" ] && grep -q \"ffff:\" \"$gid_file\"; then\n \ [e2e-llm-inference-service] \ gid_value=$(cat \"$gid_file\" 2>/dev/null || echo \"\")\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Found IPv4 RoCE v2 GID for ${hca_name}:\ [e2e-llm-inference-service] \ index=${idx}, gid=${gid_value}\"\n hca_gid_index[\"${hca_name}\"\ [e2e-llm-inference-service] ]=\"${idx}\"\n gid_index_count[\"${idx}\"]=$((${gid_index_count[\"\ [e2e-llm-inference-service] ${idx}\"]} + 1))\n break # Use first found IPv4 GID per\ [e2e-llm-inference-service] \ HCA\n fi\n fi\n done\n done\n\n\ [e2e-llm-inference-service] \ # Find the most common GID index (most likely to be consistent across\ [e2e-llm-inference-service] \ nodes)\n best_gid_index=\"\"\n max_count=0\n for idx in \"\ [e2e-llm-inference-service] ${!gid_index_count[@]}\"; do\n count=${gid_index_count[\"${idx}\"]}\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] GID_INDEX ${idx} found on ${count} HCAs\"\n \ [e2e-llm-inference-service] \ if [ $count -gt $max_count ]; then\n max_count=$count\n\ [e2e-llm-inference-service] \ best_gid_index=\"$idx\"\n fi\n done\n\n #\ [e2e-llm-inference-service] \ Use deterministic fallback if tied - prefer index 3 (SR-IOV standard)\n \ [e2e-llm-inference-service] \ if [ ${#gid_index_count[@]} -gt 1 ]; then\n echo \"[Infer RoCE]\ [e2e-llm-inference-service] \ Multiple GID indices found, selecting most common: ${best_gid_index}\"\n \ [e2e-llm-inference-service] \ # If there's a tie, prefer index 3 as it's most common in SR-IOV setups\n\ [e2e-llm-inference-service] \ if [ -n \"${gid_index_count['3']}\" ] && [ \"${gid_index_count['3']}\"\ [e2e-llm-inference-service] \ -eq \"$max_count\" ]; then\n best_gid_index=\"3\"\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using deterministic fallback: GID_INDEX=3 (SR-IOV\ [e2e-llm-inference-service] \ standard)\"\n fi\n fi\n\n # Check if GID_INDEX is already\ [e2e-llm-inference-service] \ set via environment variables\n if [ -n \"${NCCL_IB_GID_INDEX}\" ]; then\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using pre-configured NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ from environment\"\n export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using pre-configured GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ for NCCL, NVSHMEM, and UCX\"\n elif [ -n \"$best_gid_index\" ]; then\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Selected GID_INDEX: ${best_gid_index} (found\ [e2e-llm-inference-service] \ on ${max_count} HCAs)\"\n\n export NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$best_gid_index}\n\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Exported GID_INDEX=${best_gid_index} for NCCL,\ [e2e-llm-inference-service] \ NVSHMEM, and UCX\"\n else\n echo \"[Infer RoCE] ERROR: No valid\ [e2e-llm-inference-service] \ IPv4 ${KSERVE_INFER_IB_GID_INDEX_GREP} GID_INDEX found on any HCA.\"\n \ [e2e-llm-inference-service] \ fi\n else\n echo \"[Infer RoCE] No active HCAs found, skipping GID_INDEX\ [e2e-llm-inference-service] \ inference.\"\n fi\nfi\n\n# --disable-access-log-for-endpoints landed in vLLM\ [e2e-llm-inference-service] \ 0.16.0 (vllm-project/vllm#30011).\n# Older versions still need the blanket\ [e2e-llm-inference-service] \ --disable-uvicorn-access-log.\nACCESS_LOG_ARGS=\"--disable-uvicorn-access-log\"\ [e2e-llm-inference-service] \nVLLM_VERSION=$(vllm --version 2>/dev/null | tail -1 | awk '{print $NF}')\n\ [e2e-llm-inference-service] echo \"[access-log-detect] vllm version='${VLLM_VERSION}'\"\nif [[ \"$VLLM_VERSION\"\ [e2e-llm-inference-service] \ =~ ^[0-9]+\\.[0-9]+ ]] && [ \"$(printf '%s\\n%s\\n' \"0.16.0\" \"${VLLM_VERSION}\"\ [e2e-llm-inference-service] \ | sort -V | head -1)\" = \"0.16.0\" ]; then\n ACCESS_LOG_ARGS=\"--disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ /health,/metrics,/ping\"\nfi\necho \"[access-log-detect] selected ACCESS_LOG_ARGS='${ACCESS_LOG_ARGS}'\"\ [e2e-llm-inference-service] \n\n# --shutdown-timeout landed in vLLM 0.18.0 (vllm-project/vllm#36666).\n\ [e2e-llm-inference-service] SHUTDOWN_TIMEOUT_ARGS=\"\"\nif [[ \"$VLLM_VERSION\" =~ ^[0-9]+\\.[0-9]+ ]] &&\ [e2e-llm-inference-service] \ [ \"$(printf '%s\\n%s\\n' \"0.18.0\" \"${VLLM_VERSION}\" | sort -V | head\ [e2e-llm-inference-service] \ -1)\" = \"0.18.0\" ]; then\n SHUTDOWN_TIMEOUT_ARGS=\"--shutdown-timeout 40\"\ [e2e-llm-inference-service] \nfi\n\neval \"exec vllm serve /mnt/models \\\n --served-model-name \"facebook/opt-125m\"\ [e2e-llm-inference-service] \ \"publishers/kserve-ci-e2e-test/models/facebook/opt-125m\" \\\n --port 8001\ [e2e-llm-inference-service] \ \\\n ${ACCESS_LOG_ARGS} \\\n ${SHUTDOWN_TIMEOUT_ARGS} \\\n --enable-ssl-refresh\ [e2e-llm-inference-service] \ \\\n --ssl-certfile /var/run/kserve/tls/tls.crt \\\n --ssl-keyfile /var/run/kserve/tls/tls.key\ [e2e-llm-inference-service] \ \\\n ${VLLM_ADDITIONAL_ARGS} \\\n $@\"" [e2e-llm-inference-service] - -- [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8001 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: HOME [e2e-llm-inference-service] value: /home [e2e-llm-inference-service] - name: VLLM_LOGGING_LEVEL [e2e-llm-inference-service] value: DEBUG [e2e-llm-inference-service] - name: VLLM_CPU_KVCACHE_SPACE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: VLLM_ENABLE_V1_MULTIPROCESSING [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: USER [e2e-llm-inference-service] value: nonroot [e2e-llm-inference-service] - name: TORCHINDUCTOR_CACHE_DIR [e2e-llm-inference-service] value: /tmp/torchinductor-cache [e2e-llm-inference-service] - name: HF_HUB_CACHE [e2e-llm-inference-service] value: /models [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '2' [e2e-llm-inference-service] memory: 7Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-h5zfr [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: 1000700000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] serviceAccountName: custom-route-timeout-pd-test-kserve [e2e-llm-inference-service] serviceAccount: custom-route-timeout-pd-test-kserve [e2e-llm-inference-service] nodeName: ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] seLinuxOptions: [e2e-llm-inference-service] level: s0:c26,c25 [e2e-llm-inference-service] fsGroup: 1000700000 [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-thd6c [e2e-llm-inference-service] - name: custom-route-timeout-pd-test-kserve-dockercfg-q78jt [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: '2026-07-07T16:01:20Z' [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: '2026-07-07T16:01:25Z' [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: '2026-07-07T16:05:30Z' [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: '2026-07-07T16:05:30Z' [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: '2026-07-07T16:01:19Z' [e2e-llm-inference-service] hostIP: 10.0.138.195 [e2e-llm-inference-service] hostIPs: [e2e-llm-inference-service] - ip: 10.0.138.195 [e2e-llm-inference-service] podIP: 10.134.0.47 [e2e-llm-inference-service] podIPs: [e2e-llm-inference-service] - ip: 10.134.0.47 [e2e-llm-inference-service] startTime: '2026-07-07T16:01:19Z' [e2e-llm-inference-service] initContainerStatuses: [e2e-llm-inference-service] - name: llm-d-routing-sidecar [e2e-llm-inference-service] state: [e2e-llm-inference-service] running: [e2e-llm-inference-service] startedAt: '2026-07-07T16:01:20Z' [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-disagg-sidecar:v0.9.0-rc.2 [e2e-llm-inference-service] imageID: ghcr.io/llm-d/llm-d-router-disagg-sidecar@sha256:1ec2c035216ea0a4f8a6f7ccda55398fc3d9f71f487c135f49ba0dea08163f12 [e2e-llm-inference-service] containerID: cri-o://e818f91a96c4ba953169013978a9a3a60f3b457d5907d21db24d7d46e5c2d38f [e2e-llm-inference-service] started: true [e2e-llm-inference-service] resources: {} [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] - name: kube-api-access-h5zfr [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: 1000700000 [e2e-llm-inference-service] gid: 0 [e2e-llm-inference-service] supplementalGroups: [e2e-llm-inference-service] - 0 [e2e-llm-inference-service] - 1000700000 [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] state: [e2e-llm-inference-service] terminated: [e2e-llm-inference-service] exitCode: 0 [e2e-llm-inference-service] reason: Completed [e2e-llm-inference-service] startedAt: '2026-07-07T16:01:20Z' [e2e-llm-inference-service] finishedAt: '2026-07-07T16:01:25Z' [e2e-llm-inference-service] containerID: cri-o://9b3241c2e05a5eeb6e4b789aea5d9734996ee13408b42bb0d09368d5f7a95665 [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [e2e-llm-inference-service] imageID: quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [e2e-llm-inference-service] containerID: cri-o://9b3241c2e05a5eeb6e4b789aea5d9734996ee13408b42bb0d09368d5f7a95665 [e2e-llm-inference-service] started: false [e2e-llm-inference-service] allocatedResources: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-h5zfr [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: 1000700000 [e2e-llm-inference-service] gid: 0 [e2e-llm-inference-service] supplementalGroups: [e2e-llm-inference-service] - 0 [e2e-llm-inference-service] - 1000700000 [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: '2026-07-07T16:01:25Z' [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] imageID: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo@sha256:afb39fca138b51d019d986229d546531b45a2a3deb73bcf59bd42406e13fbba0 [e2e-llm-inference-service] containerID: cri-o://58fa7bcf19713a902b55e60a1c15c7b79865f1080639c669927315ba93669388 [e2e-llm-inference-service] started: true [e2e-llm-inference-service] allocatedResources: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '2' [e2e-llm-inference-service] memory: 7Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] - name: kube-api-access-h5zfr [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: 1000700000 [e2e-llm-inference-service] gid: 0 [e2e-llm-inference-service] supplementalGroups: [e2e-llm-inference-service] - 0 [e2e-llm-inference-service] - 1000700000 [e2e-llm-inference-service] qosClass: Burstable [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-pd-test-kserve-prefill-7c7977969-w26n9 [e2e-llm-inference-service] generateName: custom-route-timeout-pd-test-kserve-prefill-7c7977969- [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 4e25ce6d-e57e-4dba-ac67-c0726a00c7bc [e2e-llm-inference-service] resourceVersion: '73624' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:01:19Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload-prefill [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: prefill [e2e-llm-inference-service] pod-template-hash: 7c7977969 [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] k8s.ovn.org/pod-networks: '{"default":{"ip_addresses":["10.134.0.48/23"],"mac_address":"0a:58:0a:86:00:30","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":"10.134.0.48/23","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 \"10.134.0.48\"\n ],\n\ [e2e-llm-inference-service] \ \"mac\": \"0a:58:0a:86:00:30\",\n \"default\": true,\n \"dns\": {}\n\ [e2e-llm-inference-service] }]" [e2e-llm-inference-service] openshift.io/scc: restricted-v2 [e2e-llm-inference-service] seccomp.security.alpha.kubernetes.io/pod: runtime/default [e2e-llm-inference-service] security.openshift.io/validated-scc-subject-type: user [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: apps/v1 [e2e-llm-inference-service] kind: ReplicaSet [e2e-llm-inference-service] name: custom-route-timeout-pd-test-kserve-prefill-7c7977969 [e2e-llm-inference-service] uid: 4e9659bc-3aa1-4d2b-a105-fdef8290a733 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: ip-10-0-138-195 [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-07T16:01:19Z' [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: '2026-07-07T16:01:19Z' [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":"4e9659bc-3aa1-4d2b-a105-fdef8290a733"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_CACHE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HOME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"TORCHINDUCTOR_CACHE_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"USER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_CPU_KVCACHE_SPACE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_ENABLE_V1_MULTIPROCESSING"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_LOGGING_LEVEL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:startupProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/dev/shm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] k:{"mountPath":"/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:enableServiceLinks: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"dshm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:medium: {} [e2e-llm-inference-service] f:sizeLimit: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"model-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tmp-dir"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: multus-daemon [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-07T16:01:20Z' [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: '2026-07-07T16:05:30Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] k:{"type":"ContainersReady"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Initialized"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"PodReadyToStartContainers"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"PodScheduled"}: [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] k:{"type":"Ready"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:containerStatuses: {} [e2e-llm-inference-service] f:hostIP: {} [e2e-llm-inference-service] f:hostIPs: {} [e2e-llm-inference-service] f:initContainerStatuses: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:phase: {} [e2e-llm-inference-service] f:podIP: {} [e2e-llm-inference-service] f:podIPs: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"ip":"10.134.0.48"}: [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: custom-route-timeout-pd-test-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: kube-api-access-wvtfs [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@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-wvtfs [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: 1000700000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/bash [e2e-llm-inference-service] - -c [e2e-llm-inference-service] - "if [ -f /etc/profile.d/ibm-aiu-setup.sh ]; then\n source /etc/profile.d/ibm-aiu-setup.sh\n\ [e2e-llm-inference-service] fi\n\nif [ \"$KSERVE_INFER_ROCE\" = \"true\" ]; then\n echo \"Trying to infer\ [e2e-llm-inference-service] \ RoCE configs ... \"\n grep -H . /sys/class/infiniband/*/ports/*/gids/* 2>/dev/null\n\ [e2e-llm-inference-service] \ grep -H . /sys/class/infiniband/*/ports/*/gid_attrs/types/* 2>/dev/null\n\ [e2e-llm-inference-service] \n cat /proc/driver/nvidia/params\n\n KSERVE_INFER_IB_GID_INDEX_GREP=${KSERVE_INFER_IB_GID_INDEX_GREP:-\"\ [e2e-llm-inference-service] RoCE v2\"}\n\n echo \"[Infer RoCE] Discovering active HCAs ...\"\n active_hcas=()\n\ [e2e-llm-inference-service] \ # Loop through all mlx5 devices found in sysfs\n for hca_dir in /sys/class/infiniband/mlx5_*;\ [e2e-llm-inference-service] \ do\n # Ensure it's a directory before proceeding\n if [ -d \"$hca_dir\"\ [e2e-llm-inference-service] \ ]; then\n hca_name=$(basename \"$hca_dir\")\n port_state_file=\"\ [e2e-llm-inference-service] $hca_dir/ports/1/state\" # Assume port 1\n type_file=\"$hca_dir/ports/1/gid_attrs/types/*\"\ [e2e-llm-inference-service] \n\n echo \"[Infer RoCE] Check if the port state file ${port_state_file}\ [e2e-llm-inference-service] \ exists and contains 'ACTIVE'\"\n if [ -f \"$port_state_file\" ] &&\ [e2e-llm-inference-service] \ grep -q \"ACTIVE\" \"$port_state_file\" && grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\"\ [e2e-llm-inference-service] \ ${type_file} 2>/dev/null; then\n echo \"[Infer RoCE] Found active\ [e2e-llm-inference-service] \ HCA: $hca_name\"\n active_hcas+=(\"$hca_name\")\n else\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Skipping inactive or down HCA: $hca_name\"\ [e2e-llm-inference-service] \n fi\n fi\n done\n\n # Check if we found any active HCAs\n\ [e2e-llm-inference-service] \ if [ ${#active_hcas[@]} -gt 0 ]; then\n # Join the array elements with\ [e2e-llm-inference-service] \ a comma\n hca_port_pairs=()\n for hca in \"${active_hcas[@]}\";\ [e2e-llm-inference-service] \ do\n hca_port_pairs+=(\"${hca}:1\")\n done\n\n active_hca_list=$(IFS=,;\ [e2e-llm-inference-service] \ echo \"${active_hcas[*]}\")\n hca_port_pairs_list=$(IFS=,; echo \"${hca_port_pairs[*]}\"\ [e2e-llm-inference-service] )\n echo \"[Infer RoCE] Setting active HCAs: ${active_hca_list}\"\n \ [e2e-llm-inference-service] \ export NCCL_IB_HCA=${NCCL_IB_HCA:-${active_hca_list}}\n export NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST:-${hca_port_pairs_list}}\n\ [e2e-llm-inference-service] \ export UCX_NET_DEVICES=${UCX_NET_DEVICES:-${hca_port_pairs_list}}\n\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] NCCL_IB_HCA=${NCCL_IB_HCA}\"\n echo \"[Infer\ [e2e-llm-inference-service] \ RoCE] NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST}\"\n echo \"[Infer RoCE] UCX_NET_DEVICES=${UCX_NET_DEVICES}\"\ [e2e-llm-inference-service] \n else\n echo \"[Infer RoCE] WARNING: No active RoCE HCAs found. NCCL_IB_HCA\ [e2e-llm-inference-service] \ will not be set.\"\n fi\n\n if [ ${#active_hcas[@]} -gt 0 ]; then\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Finding GID_INDEX for each active HCA (SR-IOV compatible)...\"\ [e2e-llm-inference-service] \n\n # For SR-IOV environments, find the most common IPv4 RoCE v2 GID index\ [e2e-llm-inference-service] \ across all HCAs\n declare -A gid_index_count\n declare -A hca_gid_index\n\ [e2e-llm-inference-service] \n for hca_name in \"${active_hcas[@]}\"; do\n echo \"[Infer RoCE]\ [e2e-llm-inference-service] \ Processing HCA: ${hca_name}\"\n\n # Find all RoCE v2 IPv4 GIDs for\ [e2e-llm-inference-service] \ this HCA and count by index\n for tpath in /sys/class/infiniband/${hca_name}/ports/1/gid_attrs/types/*;\ [e2e-llm-inference-service] \ do\n if grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\" \"$tpath\"\ [e2e-llm-inference-service] \ 2>/dev/null; then\n idx=$(basename \"$tpath\")\n \ [e2e-llm-inference-service] \ gid_file=\"/sys/class/infiniband/${hca_name}/ports/1/gids/${idx}\"\ [e2e-llm-inference-service] \n # Check for IPv4 GID (contains ffff:)\n \ [e2e-llm-inference-service] \ if [ -f \"$gid_file\" ] && grep -q \"ffff:\" \"$gid_file\"; then\n \ [e2e-llm-inference-service] \ gid_value=$(cat \"$gid_file\" 2>/dev/null || echo \"\")\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Found IPv4 RoCE v2 GID for ${hca_name}:\ [e2e-llm-inference-service] \ index=${idx}, gid=${gid_value}\"\n hca_gid_index[\"${hca_name}\"\ [e2e-llm-inference-service] ]=\"${idx}\"\n gid_index_count[\"${idx}\"]=$((${gid_index_count[\"\ [e2e-llm-inference-service] ${idx}\"]} + 1))\n break # Use first found IPv4 GID per\ [e2e-llm-inference-service] \ HCA\n fi\n fi\n done\n done\n\n\ [e2e-llm-inference-service] \ # Find the most common GID index (most likely to be consistent across\ [e2e-llm-inference-service] \ nodes)\n best_gid_index=\"\"\n max_count=0\n for idx in \"\ [e2e-llm-inference-service] ${!gid_index_count[@]}\"; do\n count=${gid_index_count[\"${idx}\"]}\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] GID_INDEX ${idx} found on ${count} HCAs\"\n \ [e2e-llm-inference-service] \ if [ $count -gt $max_count ]; then\n max_count=$count\n\ [e2e-llm-inference-service] \ best_gid_index=\"$idx\"\n fi\n done\n\n #\ [e2e-llm-inference-service] \ Use deterministic fallback if tied - prefer index 3 (SR-IOV standard)\n \ [e2e-llm-inference-service] \ if [ ${#gid_index_count[@]} -gt 1 ]; then\n echo \"[Infer RoCE]\ [e2e-llm-inference-service] \ Multiple GID indices found, selecting most common: ${best_gid_index}\"\n \ [e2e-llm-inference-service] \ # If there's a tie, prefer index 3 as it's most common in SR-IOV setups\n\ [e2e-llm-inference-service] \ if [ -n \"${gid_index_count['3']}\" ] && [ \"${gid_index_count['3']}\"\ [e2e-llm-inference-service] \ -eq \"$max_count\" ]; then\n best_gid_index=\"3\"\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using deterministic fallback: GID_INDEX=3 (SR-IOV\ [e2e-llm-inference-service] \ standard)\"\n fi\n fi\n\n # Check if GID_INDEX is already\ [e2e-llm-inference-service] \ set via environment variables\n if [ -n \"${NCCL_IB_GID_INDEX}\" ]; then\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using pre-configured NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ from environment\"\n export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using pre-configured GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ for NCCL, NVSHMEM, and UCX\"\n elif [ -n \"$best_gid_index\" ]; then\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Selected GID_INDEX: ${best_gid_index} (found\ [e2e-llm-inference-service] \ on ${max_count} HCAs)\"\n\n export NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$best_gid_index}\n\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Exported GID_INDEX=${best_gid_index} for NCCL,\ [e2e-llm-inference-service] \ NVSHMEM, and UCX\"\n else\n echo \"[Infer RoCE] ERROR: No valid\ [e2e-llm-inference-service] \ IPv4 ${KSERVE_INFER_IB_GID_INDEX_GREP} GID_INDEX found on any HCA.\"\n \ [e2e-llm-inference-service] \ fi\n else\n echo \"[Infer RoCE] No active HCAs found, skipping GID_INDEX\ [e2e-llm-inference-service] \ inference.\"\n fi\nfi\n\n# --disable-access-log-for-endpoints landed in vLLM\ [e2e-llm-inference-service] \ 0.16.0 (vllm-project/vllm#30011).\n# Older versions still need the blanket\ [e2e-llm-inference-service] \ --disable-uvicorn-access-log.\nACCESS_LOG_ARGS=\"--disable-uvicorn-access-log\"\ [e2e-llm-inference-service] \nVLLM_VERSION=$(vllm --version 2>/dev/null | tail -1 | awk '{print $NF}')\n\ [e2e-llm-inference-service] echo \"[access-log-detect] vllm version='${VLLM_VERSION}'\"\nif [[ \"$VLLM_VERSION\"\ [e2e-llm-inference-service] \ =~ ^[0-9]+\\.[0-9]+ ]] && [ \"$(printf '%s\\n%s\\n' \"0.16.0\" \"${VLLM_VERSION}\"\ [e2e-llm-inference-service] \ | sort -V | head -1)\" = \"0.16.0\" ]; then\n ACCESS_LOG_ARGS=\"--disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ /health,/metrics,/ping\"\nfi\necho \"[access-log-detect] selected ACCESS_LOG_ARGS='${ACCESS_LOG_ARGS}'\"\ [e2e-llm-inference-service] \n\n# --shutdown-timeout landed in vLLM 0.18.0 (vllm-project/vllm#36666).\n\ [e2e-llm-inference-service] SHUTDOWN_TIMEOUT_ARGS=\"\"\nif [[ \"$VLLM_VERSION\" =~ ^[0-9]+\\.[0-9]+ ]] &&\ [e2e-llm-inference-service] \ [ \"$(printf '%s\\n%s\\n' \"0.18.0\" \"${VLLM_VERSION}\" | sort -V | head\ [e2e-llm-inference-service] \ -1)\" = \"0.18.0\" ]; then\n SHUTDOWN_TIMEOUT_ARGS=\"--shutdown-timeout 40\"\ [e2e-llm-inference-service] \nfi\n\neval \"exec vllm serve /mnt/models \\\n --served-model-name \"facebook/opt-125m\"\ [e2e-llm-inference-service] \ \\\n --port 8000 \\\n ${ACCESS_LOG_ARGS} \\\n ${SHUTDOWN_TIMEOUT_ARGS}\ [e2e-llm-inference-service] \ \\\n --enable-ssl-refresh \\\n --ssl-certfile /var/run/kserve/tls/tls.crt\ [e2e-llm-inference-service] \ \\\n --ssl-keyfile /var/run/kserve/tls/tls.key \\\n ${VLLM_ADDITIONAL_ARGS}\ [e2e-llm-inference-service] \ \\\n $@\"" [e2e-llm-inference-service] - -- [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: HOME [e2e-llm-inference-service] value: /home [e2e-llm-inference-service] - name: VLLM_LOGGING_LEVEL [e2e-llm-inference-service] value: DEBUG [e2e-llm-inference-service] - name: VLLM_CPU_KVCACHE_SPACE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: VLLM_ENABLE_V1_MULTIPROCESSING [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: USER [e2e-llm-inference-service] value: nonroot [e2e-llm-inference-service] - name: TORCHINDUCTOR_CACHE_DIR [e2e-llm-inference-service] value: /tmp/torchinductor-cache [e2e-llm-inference-service] - name: HF_HUB_CACHE [e2e-llm-inference-service] value: /models [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '2' [e2e-llm-inference-service] memory: 7Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-wvtfs [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: 1000700000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] serviceAccountName: default [e2e-llm-inference-service] serviceAccount: default [e2e-llm-inference-service] nodeName: ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] seLinuxOptions: [e2e-llm-inference-service] level: s0:c26,c25 [e2e-llm-inference-service] fsGroup: 1000700000 [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-thd6c [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: '2026-07-07T16:01:20Z' [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: '2026-07-07T16:01:25Z' [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: '2026-07-07T16:05:30Z' [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: '2026-07-07T16:05:30Z' [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: '2026-07-07T16:01:19Z' [e2e-llm-inference-service] hostIP: 10.0.138.195 [e2e-llm-inference-service] hostIPs: [e2e-llm-inference-service] - ip: 10.0.138.195 [e2e-llm-inference-service] podIP: 10.134.0.48 [e2e-llm-inference-service] podIPs: [e2e-llm-inference-service] - ip: 10.134.0.48 [e2e-llm-inference-service] startTime: '2026-07-07T16:01:19Z' [e2e-llm-inference-service] initContainerStatuses: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] state: [e2e-llm-inference-service] terminated: [e2e-llm-inference-service] exitCode: 0 [e2e-llm-inference-service] reason: Completed [e2e-llm-inference-service] startedAt: '2026-07-07T16:01:20Z' [e2e-llm-inference-service] finishedAt: '2026-07-07T16:01:25Z' [e2e-llm-inference-service] containerID: cri-o://39446a6febfcf650981453210d000783f7ec6cb293d630b8733250ac5b0c45b3 [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [e2e-llm-inference-service] imageID: quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [e2e-llm-inference-service] containerID: cri-o://39446a6febfcf650981453210d000783f7ec6cb293d630b8733250ac5b0c45b3 [e2e-llm-inference-service] started: false [e2e-llm-inference-service] allocatedResources: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-wvtfs [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: 1000700000 [e2e-llm-inference-service] gid: 0 [e2e-llm-inference-service] supplementalGroups: [e2e-llm-inference-service] - 0 [e2e-llm-inference-service] - 1000700000 [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: '2026-07-07T16:01:25Z' [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] imageID: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo@sha256:afb39fca138b51d019d986229d546531b45a2a3deb73bcf59bd42406e13fbba0 [e2e-llm-inference-service] containerID: cri-o://1008d15dbab0b830669bb2e6708c77f314c4c64a75dc0532c3a8afb88f70e096 [e2e-llm-inference-service] started: true [e2e-llm-inference-service] allocatedResources: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '2' [e2e-llm-inference-service] memory: 7Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] - name: kube-api-access-wvtfs [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: 1000700000 [e2e-llm-inference-service] gid: 0 [e2e-llm-inference-service] supplementalGroups: [e2e-llm-inference-service] - 0 [e2e-llm-inference-service] - 1000700000 [e2e-llm-inference-service] qosClass: Burstable [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-pd-test-kserve-router-scheduler-859d8b5s4w [e2e-llm-inference-service] generateName: custom-route-timeout-pd-test-kserve-router-scheduler-859d8f7469- [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 60df7c70-cbe9-4723-8613-535e200b080b [e2e-llm-inference-service] resourceVersion: '70387' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:01:20Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 859d8f7469 [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] app.kubernetes.io/version: 0.9.0 [e2e-llm-inference-service] certificates.kserve.io/expiration-v2: 'true' [e2e-llm-inference-service] k8s.ovn.org/pod-networks: '{"default":{"ip_addresses":["10.133.0.42/23"],"mac_address":"0a:58:0a:85:00:2a","gateway_ips":["10.133.0.1"],"routes":[{"dest":"10.132.0.0/14","nextHop":"10.133.0.1"},{"dest":"172.31.0.0/16","nextHop":"10.133.0.1"},{"dest":"169.254.0.5/32","nextHop":"10.133.0.1"},{"dest":"100.64.0.0/16","nextHop":"10.133.0.1"}],"ip_address":"10.133.0.42/23","gateway_ip":"10.133.0.1","role":"primary"}}' [e2e-llm-inference-service] k8s.v1.cni.cncf.io/network-status: "[{\n \"name\": \"ovn-kubernetes\",\n \ [e2e-llm-inference-service] \ \"interface\": \"eth0\",\n \"ips\": [\n \"10.133.0.42\"\n ],\n\ [e2e-llm-inference-service] \ \"mac\": \"0a:58:0a:85:00:2a\",\n \"default\": true,\n \"dns\": {}\n\ [e2e-llm-inference-service] }]" [e2e-llm-inference-service] openshift.io/scc: restricted-v2 [e2e-llm-inference-service] seccomp.security.alpha.kubernetes.io/pod: runtime/default [e2e-llm-inference-service] security.openshift.io/validated-scc-subject-type: user [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: apps/v1 [e2e-llm-inference-service] kind: ReplicaSet [e2e-llm-inference-service] name: custom-route-timeout-pd-test-kserve-router-scheduler-859d8f7469 [e2e-llm-inference-service] uid: f0689d1e-c835-43b3-a5d7-7f2997d9880f [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: ip-10-0-129-71 [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-07T16:01:20Z' [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: '2026-07-07T16:01:20Z' [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":"f0689d1e-c835-43b3-a5d7-7f2997d9880f"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"SSL_CERT_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":5557,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9002,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9003,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9090,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp/tokenizer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:enableServiceLinks: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"STORAGE_ALLOW_PATTERNS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:serviceAccount: {} [e2e-llm-inference-service] f:serviceAccountName: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tokenizer-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-uds"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: multus-daemon [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-07T16:01:20Z' [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: '2026-07-07T16:01:53Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] k:{"type":"ContainersReady"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Initialized"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"PodReadyToStartContainers"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"PodScheduled"}: [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] k:{"type":"Ready"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastProbeTime: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:containerStatuses: {} [e2e-llm-inference-service] f:hostIP: {} [e2e-llm-inference-service] f:hostIPs: {} [e2e-llm-inference-service] f:initContainerStatuses: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:phase: {} [e2e-llm-inference-service] f:podIP: {} [e2e-llm-inference-service] f:podIPs: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"ip":"10.133.0.42"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:ip: {} [e2e-llm-inference-service] f:startTime: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: custom-route-timeout-pd-test-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-tmp [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: kube-api-access-h6889 [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@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] - name: STORAGE_ALLOW_PATTERNS [e2e-llm-inference-service] value: '["tokenizer.json", "tokenizer_config.json", "special_tokens_map.json", [e2e-llm-inference-service] "vocab.json", "merges.txt", "config.json", "generation_config.json"]' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-h6889 [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: 1000700000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/epp [e2e-llm-inference-service] - --pool-name [e2e-llm-inference-service] - custom-route-timeout-pd-test-inference-pool [e2e-llm-inference-service] - --pool-namespace [e2e-llm-inference-service] - kserve-ci-e2e-test [e2e-llm-inference-service] - --zap-encoder [e2e-llm-inference-service] - json [e2e-llm-inference-service] - --grpc-port [e2e-llm-inference-service] - '9002' [e2e-llm-inference-service] - --grpc-health-port [e2e-llm-inference-service] - '9003' [e2e-llm-inference-service] - --enable-cert-reload=true [e2e-llm-inference-service] - --secure-serving=true [e2e-llm-inference-service] - --model-server-metrics-scheme=https [e2e-llm-inference-service] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --config-text [e2e-llm-inference-service] - "apiVersion: inference.networking.x-k8s.io/v1alpha1\nkind: EndpointPickerConfig\n\ [e2e-llm-inference-service] plugins:\n- type: disagg-headers-handler\n- type: prefill-filter\n- type: decode-filter\n\ [e2e-llm-inference-service] - type: queue-scorer\n- type: prefix-cache-scorer\n- type: max-score-picker\n\ [e2e-llm-inference-service] - type: always-disagg-pd-decider\n- parameters:\n deciders:\n prefill:\ [e2e-llm-inference-service] \ always-disagg-pd-decider\n type: disagg-profile-handler\nschedulingProfiles:\n\ [e2e-llm-inference-service] - name: prefill\n plugins:\n - pluginRef: prefill-filter\n - pluginRef: queue-scorer\n\ [e2e-llm-inference-service] \ weight: 2\n - pluginRef: prefix-cache-scorer\n weight: 3\n - pluginRef:\ [e2e-llm-inference-service] \ max-score-picker\n- name: decode\n plugins:\n - pluginRef: decode-filter\n\ [e2e-llm-inference-service] \ - pluginRef: queue-scorer\n weight: 2\n - pluginRef: prefix-cache-scorer\n\ [e2e-llm-inference-service] \ weight: 3\n - pluginRef: max-score-picker\n" [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] containerPort: 9002 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] containerPort: 9003 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] containerPort: 9090 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] containerPort: 5557 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: SSL_CERT_DIR [e2e-llm-inference-service] value: /var/run/kserve/tls:/var/run/secrets/kubernetes.io/serviceaccount:/etc/pki/tls/certs [e2e-llm-inference-service] resources: [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] mountPath: /tmp/tokenizer [e2e-llm-inference-service] - name: kube-api-access-h6889 [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: 1000700000 [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] serviceAccountName: custom-route-timeout-pd-test-epp-sa [e2e-llm-inference-service] serviceAccount: custom-route-timeout-pd-test-epp-sa [e2e-llm-inference-service] nodeName: ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] seLinuxOptions: [e2e-llm-inference-service] level: s0:c26,c25 [e2e-llm-inference-service] fsGroup: 1000700000 [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-thd6c [e2e-llm-inference-service] - name: custom-route-timeout-pd-test-epp-sa-dockercfg-jxjbr [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: '2026-07-07T16:01:20Z' [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: '2026-07-07T16:01:21Z' [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: '2026-07-07T16:01:53Z' [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: '2026-07-07T16:01:53Z' [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: '2026-07-07T16:01:20Z' [e2e-llm-inference-service] hostIP: 10.0.129.71 [e2e-llm-inference-service] hostIPs: [e2e-llm-inference-service] - ip: 10.0.129.71 [e2e-llm-inference-service] podIP: 10.133.0.42 [e2e-llm-inference-service] podIPs: [e2e-llm-inference-service] - ip: 10.133.0.42 [e2e-llm-inference-service] startTime: '2026-07-07T16:01:20Z' [e2e-llm-inference-service] initContainerStatuses: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] state: [e2e-llm-inference-service] terminated: [e2e-llm-inference-service] exitCode: 0 [e2e-llm-inference-service] reason: Completed [e2e-llm-inference-service] startedAt: '2026-07-07T16:01:20Z' [e2e-llm-inference-service] finishedAt: '2026-07-07T16:01:21Z' [e2e-llm-inference-service] containerID: cri-o://d7874b72f0aa3bdce6eb6440a4929b9c6711a3e56c4fa8fcd339b3cb9b03dcc0 [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [e2e-llm-inference-service] imageID: quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [e2e-llm-inference-service] containerID: cri-o://d7874b72f0aa3bdce6eb6440a4929b9c6711a3e56c4fa8fcd339b3cb9b03dcc0 [e2e-llm-inference-service] started: false [e2e-llm-inference-service] allocatedResources: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-h6889 [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: 1000700000 [e2e-llm-inference-service] gid: 0 [e2e-llm-inference-service] supplementalGroups: [e2e-llm-inference-service] - 0 [e2e-llm-inference-service] - 1000700000 [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: '2026-07-07T16:01:22Z' [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2 [e2e-llm-inference-service] imageID: ghcr.io/llm-d/llm-d-router-endpoint-picker@sha256:06b6c75d77afd0e07053402752a9736c2dfbc12a306d0d37d963aac4c1d4e6a6 [e2e-llm-inference-service] containerID: cri-o://519831de961aab8d66c802f4e9ff786a907aeca4ed33ce63a9466dd6200002ff [e2e-llm-inference-service] started: true [e2e-llm-inference-service] allocatedResources: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] resources: [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] mountPath: /tmp/tokenizer [e2e-llm-inference-service] - name: kube-api-access-h6889 [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: 1000700000 [e2e-llm-inference-service] gid: 0 [e2e-llm-inference-service] supplementalGroups: [e2e-llm-inference-service] - 0 [e2e-llm-inference-service] - 1000700000 [e2e-llm-inference-service] qosClass: Burstable [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-pd-test-epp-sa [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: e3db4a43-7c7d-43e5-938e-88f1ea7a4003 [e2e-llm-inference-service] resourceVersion: '69783' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:01:19Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] openshift.io/internal-registry-pull-secret-ref: custom-route-timeout-pd-test-epp-sa-dockercfg-jxjbr [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-pd-test [e2e-llm-inference-service] uid: ecc65483-3b96-4118-9d74-5aef82946786 [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: '2026-07-07T16:01:19Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:imagePullSecrets: {} [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] f:openshift.io/internal-registry-pull-secret-ref: {} [e2e-llm-inference-service] f:secrets: [e2e-llm-inference-service] k:{"name":"custom-route-timeout-pd-test-epp-sa-dockercfg-jxjbr"}: {} [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-07T16:01:19Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [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":"ecc65483-3b96-4118-9d74-5aef82946786"}: {} [e2e-llm-inference-service] f:secrets: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"default-dockercfg-thd6c"}: {} [e2e-llm-inference-service] k:{"name":"seaweedfs-s3-creds"}: {} [e2e-llm-inference-service] secrets: [e2e-llm-inference-service] - name: default-dockercfg-thd6c [e2e-llm-inference-service] - name: seaweedfs-s3-creds [e2e-llm-inference-service] - name: custom-route-timeout-pd-test-epp-sa-dockercfg-jxjbr [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-thd6c [e2e-llm-inference-service] - name: custom-route-timeout-pd-test-epp-sa-dockercfg-jxjbr [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: ServiceAccount [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-pd-test-kserve [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 048ee842-c8bf-4717-bb4f-f3a2479ea584 [e2e-llm-inference-service] resourceVersion: '69745' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:01:19Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] openshift.io/internal-registry-pull-secret-ref: custom-route-timeout-pd-test-kserve-dockercfg-q78jt [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-pd-test [e2e-llm-inference-service] uid: ecc65483-3b96-4118-9d74-5aef82946786 [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: '2026-07-07T16:01:19Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:imagePullSecrets: {} [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] f:openshift.io/internal-registry-pull-secret-ref: {} [e2e-llm-inference-service] f:secrets: [e2e-llm-inference-service] k:{"name":"custom-route-timeout-pd-test-kserve-dockercfg-q78jt"}: {} [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-07T16:01:19Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [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":"ecc65483-3b96-4118-9d74-5aef82946786"}: {} [e2e-llm-inference-service] f:secrets: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"default-dockercfg-thd6c"}: {} [e2e-llm-inference-service] k:{"name":"seaweedfs-s3-creds"}: {} [e2e-llm-inference-service] secrets: [e2e-llm-inference-service] - name: default-dockercfg-thd6c [e2e-llm-inference-service] - name: seaweedfs-s3-creds [e2e-llm-inference-service] - name: custom-route-timeout-pd-test-kserve-dockercfg-q78jt [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-thd6c [e2e-llm-inference-service] - name: custom-route-timeout-pd-test-kserve-dockercfg-q78jt [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: ServiceAccount [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-pd-test-epp-service [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 450f6238-ec7b-47a2-841d-f819a1640175 [e2e-llm-inference-service] resourceVersion: '69812' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:01:20Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-pd-test [e2e-llm-inference-service] uid: ecc65483-3b96-4118-9d74-5aef82946786 [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: '2026-07-07T16:01:20Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [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":"ecc65483-3b96-4118-9d74-5aef82946786"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:internalTrafficPolicy: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"port":5557,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:targetPort: {} [e2e-llm-inference-service] k:{"port":9002,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:targetPort: {} [e2e-llm-inference-service] k:{"port":9003,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:targetPort: {} [e2e-llm-inference-service] k:{"port":9090,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:targetPort: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:sessionAffinity: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] spec: [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9002 [e2e-llm-inference-service] targetPort: grpc [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] targetPort: grpc-health [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9090 [e2e-llm-inference-service] targetPort: metrics [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 5557 [e2e-llm-inference-service] targetPort: zmq [e2e-llm-inference-service] selector: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] clusterIP: 172.31.221.56 [e2e-llm-inference-service] clusterIPs: [e2e-llm-inference-service] - 172.31.221.56 [e2e-llm-inference-service] type: ClusterIP [e2e-llm-inference-service] sessionAffinity: None [e2e-llm-inference-service] ipFamilies: [e2e-llm-inference-service] - IPv4 [e2e-llm-inference-service] ipFamilyPolicy: SingleStack [e2e-llm-inference-service] internalTrafficPolicy: Cluster [e2e-llm-inference-service] status: [e2e-llm-inference-service] loadBalancer: {} [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-pd-test-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 350c93bc-c26f-4519-a65e-0d058be5920e [e2e-llm-inference-service] resourceVersion: '69766' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:01:19Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-pd-test [e2e-llm-inference-service] uid: ecc65483-3b96-4118-9d74-5aef82946786 [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: '2026-07-07T16:01:19Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [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":"ecc65483-3b96-4118-9d74-5aef82946786"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:internalTrafficPolicy: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"port":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:appProtocol: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:targetPort: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:sessionAffinity: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] spec: [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: https [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] appProtocol: https [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] targetPort: 8000 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] clusterIP: 172.31.165.228 [e2e-llm-inference-service] clusterIPs: [e2e-llm-inference-service] - 172.31.165.228 [e2e-llm-inference-service] type: ClusterIP [e2e-llm-inference-service] sessionAffinity: None [e2e-llm-inference-service] ipFamilies: [e2e-llm-inference-service] - IPv4 [e2e-llm-inference-service] ipFamilyPolicy: SingleStack [e2e-llm-inference-service] internalTrafficPolicy: Cluster [e2e-llm-inference-service] status: [e2e-llm-inference-service] loadBalancer: {} [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-pd-test-kserve [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 8efb3ace-dc1d-4d8b-ac9f-8b4175d26fa8 [e2e-llm-inference-service] resourceVersion: '73625' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:01:19Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: decode [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] deployment.kubernetes.io/revision: '1' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-pd-test [e2e-llm-inference-service] uid: ecc65483-3b96-4118-9d74-5aef82946786 [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: '2026-07-07T16:01:19Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [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":"ecc65483-3b96-4118-9d74-5aef82946786"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:progressDeadlineSeconds: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:revisionHistoryLimit: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:strategy: [e2e-llm-inference-service] f:rollingUpdate: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:maxSurge: {} [e2e-llm-inference-service] f:maxUnavailable: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:template: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:llm-d.ai/role: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_CACHE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HOME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"TORCHINDUCTOR_CACHE_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"USER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_CPU_KVCACHE_SPACE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_ENABLE_V1_MULTIPROCESSING"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_LOGGING_LEVEL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":8001,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:startupProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/dev/shm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] k:{"mountPath":"/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"llm-d-routing-sidecar"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"INFERENCE_POOL_NAME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"INFERENCE_POOL_NAMESPACE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:fieldRef: {} [e2e-llm-inference-service] k:{"name":"SSL_CERT_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:serviceAccount: {} [e2e-llm-inference-service] f:serviceAccountName: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"dshm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:medium: {} [e2e-llm-inference-service] f:sizeLimit: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"model-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tmp-dir"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-07T16:05:30Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/revision: {} [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:availableReplicas: {} [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"type":"Available"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:lastUpdateTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Progressing"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:lastUpdateTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:readyReplicas: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:updatedReplicas: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: decode [e2e-llm-inference-service] template: [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: decode [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] emptyDir: [e2e-llm-inference-service] medium: Memory [e2e-llm-inference-service] sizeLimit: 1Gi [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: custom-route-timeout-pd-test-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: llm-d-routing-sidecar [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-disagg-sidecar:v0.9.0-rc.2 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/pd-sidecar [e2e-llm-inference-service] - --port=8000 [e2e-llm-inference-service] - --vllm-port=8001 [e2e-llm-inference-service] - --kv-connector=nixlv2 [e2e-llm-inference-service] - --enable-ssrf-protection=true [e2e-llm-inference-service] - --pool-group=inference.networking.x-k8s.io [e2e-llm-inference-service] - --inference-pool=kserve-ci-e2e-test/custom-route-timeout-pd-test-inference-pool [e2e-llm-inference-service] - --secure-proxy=true [e2e-llm-inference-service] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] - --decoder-use-tls=true [e2e-llm-inference-service] - --prefiller-use-tls=true [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: INFERENCE_POOL_NAMESPACE [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] fieldRef: [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] fieldPath: metadata.namespace [e2e-llm-inference-service] - name: SSL_CERT_DIR [e2e-llm-inference-service] value: /var/run/kserve/tls:/var/run/secrets/kubernetes.io/serviceaccount:/etc/pki/tls/certs [e2e-llm-inference-service] - name: INFERENCE_POOL_NAME [e2e-llm-inference-service] value: custom-route-timeout-pd-test-inference-pool [e2e-llm-inference-service] resources: {} [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] initialDelaySeconds: 10 [e2e-llm-inference-service] timeoutSeconds: 10 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] initialDelaySeconds: 10 [e2e-llm-inference-service] timeoutSeconds: 5 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 10 [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/bash [e2e-llm-inference-service] - -c [e2e-llm-inference-service] - "if [ -f /etc/profile.d/ibm-aiu-setup.sh ]; then\n source /etc/profile.d/ibm-aiu-setup.sh\n\ [e2e-llm-inference-service] fi\n\nif [ \"$KSERVE_INFER_ROCE\" = \"true\" ]; then\n echo \"Trying to\ [e2e-llm-inference-service] \ infer RoCE configs ... \"\n grep -H . /sys/class/infiniband/*/ports/*/gids/*\ [e2e-llm-inference-service] \ 2>/dev/null\n grep -H . /sys/class/infiniband/*/ports/*/gid_attrs/types/*\ [e2e-llm-inference-service] \ 2>/dev/null\n\n cat /proc/driver/nvidia/params\n\n KSERVE_INFER_IB_GID_INDEX_GREP=${KSERVE_INFER_IB_GID_INDEX_GREP:-\"\ [e2e-llm-inference-service] RoCE v2\"}\n\n echo \"[Infer RoCE] Discovering active HCAs ...\"\n active_hcas=()\n\ [e2e-llm-inference-service] \ # Loop through all mlx5 devices found in sysfs\n for hca_dir in /sys/class/infiniband/mlx5_*;\ [e2e-llm-inference-service] \ do\n # Ensure it's a directory before proceeding\n if [ -d \"\ [e2e-llm-inference-service] $hca_dir\" ]; then\n hca_name=$(basename \"$hca_dir\")\n \ [e2e-llm-inference-service] \ port_state_file=\"$hca_dir/ports/1/state\" # Assume port 1\n \ [e2e-llm-inference-service] \ type_file=\"$hca_dir/ports/1/gid_attrs/types/*\"\n\n echo\ [e2e-llm-inference-service] \ \"[Infer RoCE] Check if the port state file ${port_state_file} exists\ [e2e-llm-inference-service] \ and contains 'ACTIVE'\"\n if [ -f \"$port_state_file\" ] && grep\ [e2e-llm-inference-service] \ -q \"ACTIVE\" \"$port_state_file\" && grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\"\ [e2e-llm-inference-service] \ ${type_file} 2>/dev/null; then\n echo \"[Infer RoCE] Found\ [e2e-llm-inference-service] \ active HCA: $hca_name\"\n active_hcas+=(\"$hca_name\")\n\ [e2e-llm-inference-service] \ else\n echo \"[Infer RoCE] Skipping inactive or\ [e2e-llm-inference-service] \ down HCA: $hca_name\"\n fi\n fi\n done\n\n # Check if\ [e2e-llm-inference-service] \ we found any active HCAs\n if [ ${#active_hcas[@]} -gt 0 ]; then\n \ [e2e-llm-inference-service] \ # Join the array elements with a comma\n hca_port_pairs=()\n \ [e2e-llm-inference-service] \ for hca in \"${active_hcas[@]}\"; do\n hca_port_pairs+=(\"\ [e2e-llm-inference-service] ${hca}:1\")\n done\n\n active_hca_list=$(IFS=,; echo \"${active_hcas[*]}\"\ [e2e-llm-inference-service] )\n hca_port_pairs_list=$(IFS=,; echo \"${hca_port_pairs[*]}\")\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Setting active HCAs: ${active_hca_list}\"\n \ [e2e-llm-inference-service] \ export NCCL_IB_HCA=${NCCL_IB_HCA:-${active_hca_list}}\n export\ [e2e-llm-inference-service] \ NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST:-${hca_port_pairs_list}}\n export\ [e2e-llm-inference-service] \ UCX_NET_DEVICES=${UCX_NET_DEVICES:-${hca_port_pairs_list}}\n\n echo\ [e2e-llm-inference-service] \ \"[Infer RoCE] NCCL_IB_HCA=${NCCL_IB_HCA}\"\n echo \"[Infer RoCE]\ [e2e-llm-inference-service] \ NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST}\"\n echo \"[Infer RoCE] UCX_NET_DEVICES=${UCX_NET_DEVICES}\"\ [e2e-llm-inference-service] \n else\n echo \"[Infer RoCE] WARNING: No active RoCE HCAs found.\ [e2e-llm-inference-service] \ NCCL_IB_HCA will not be set.\"\n fi\n\n if [ ${#active_hcas[@]} -gt\ [e2e-llm-inference-service] \ 0 ]; then\n echo \"[Infer RoCE] Finding GID_INDEX for each active\ [e2e-llm-inference-service] \ HCA (SR-IOV compatible)...\"\n\n # For SR-IOV environments, find\ [e2e-llm-inference-service] \ the most common IPv4 RoCE v2 GID index across all HCAs\n declare\ [e2e-llm-inference-service] \ -A gid_index_count\n declare -A hca_gid_index\n\n for hca_name\ [e2e-llm-inference-service] \ in \"${active_hcas[@]}\"; do\n echo \"[Infer RoCE] Processing\ [e2e-llm-inference-service] \ HCA: ${hca_name}\"\n\n # Find all RoCE v2 IPv4 GIDs for this\ [e2e-llm-inference-service] \ HCA and count by index\n for tpath in /sys/class/infiniband/${hca_name}/ports/1/gid_attrs/types/*;\ [e2e-llm-inference-service] \ do\n if grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\" \"\ [e2e-llm-inference-service] $tpath\" 2>/dev/null; then\n idx=$(basename \"$tpath\"\ [e2e-llm-inference-service] )\n gid_file=\"/sys/class/infiniband/${hca_name}/ports/1/gids/${idx}\"\ [e2e-llm-inference-service] \n # Check for IPv4 GID (contains ffff:)\n \ [e2e-llm-inference-service] \ if [ -f \"$gid_file\" ] && grep -q \"ffff:\" \"$gid_file\"; then\n\ [e2e-llm-inference-service] \ gid_value=$(cat \"$gid_file\" 2>/dev/null || echo\ [e2e-llm-inference-service] \ \"\")\n echo \"[Infer RoCE] Found IPv4 RoCE v2 GID\ [e2e-llm-inference-service] \ for ${hca_name}: index=${idx}, gid=${gid_value}\"\n \ [e2e-llm-inference-service] \ hca_gid_index[\"${hca_name}\"]=\"${idx}\"\n gid_index_count[\"\ [e2e-llm-inference-service] ${idx}\"]=$((${gid_index_count[\"${idx}\"]} + 1))\n \ [e2e-llm-inference-service] \ break # Use first found IPv4 GID per HCA\n fi\n \ [e2e-llm-inference-service] \ fi\n done\n done\n\n # Find the most common\ [e2e-llm-inference-service] \ GID index (most likely to be consistent across nodes)\n best_gid_index=\"\ [e2e-llm-inference-service] \"\n max_count=0\n for idx in \"${!gid_index_count[@]}\"; do\n\ [e2e-llm-inference-service] \ count=${gid_index_count[\"${idx}\"]}\n echo \"[Infer\ [e2e-llm-inference-service] \ RoCE] GID_INDEX ${idx} found on ${count} HCAs\"\n if [ $count\ [e2e-llm-inference-service] \ -gt $max_count ]; then\n max_count=$count\n \ [e2e-llm-inference-service] \ best_gid_index=\"$idx\"\n fi\n done\n\n # Use deterministic\ [e2e-llm-inference-service] \ fallback if tied - prefer index 3 (SR-IOV standard)\n if [ ${#gid_index_count[@]}\ [e2e-llm-inference-service] \ -gt 1 ]; then\n echo \"[Infer RoCE] Multiple GID indices found,\ [e2e-llm-inference-service] \ selecting most common: ${best_gid_index}\"\n # If there's a tie,\ [e2e-llm-inference-service] \ prefer index 3 as it's most common in SR-IOV setups\n if [ -n\ [e2e-llm-inference-service] \ \"${gid_index_count['3']}\" ] && [ \"${gid_index_count['3']}\" -eq \"\ [e2e-llm-inference-service] $max_count\" ]; then\n best_gid_index=\"3\"\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using deterministic fallback: GID_INDEX=3 (SR-IOV\ [e2e-llm-inference-service] \ standard)\"\n fi\n fi\n\n # Check if GID_INDEX is already\ [e2e-llm-inference-service] \ set via environment variables\n if [ -n \"${NCCL_IB_GID_INDEX}\"\ [e2e-llm-inference-service] \ ]; then\n echo \"[Infer RoCE] Using pre-configured NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ from environment\"\n export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using pre-configured GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ for NCCL, NVSHMEM, and UCX\"\n elif [ -n \"$best_gid_index\" ]; then\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Selected GID_INDEX: ${best_gid_index} (found\ [e2e-llm-inference-service] \ on ${max_count} HCAs)\"\n\n export NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \n echo \"[Infer RoCE] Exported GID_INDEX=${best_gid_index} for\ [e2e-llm-inference-service] \ NCCL, NVSHMEM, and UCX\"\n else\n echo \"[Infer RoCE] ERROR:\ [e2e-llm-inference-service] \ No valid IPv4 ${KSERVE_INFER_IB_GID_INDEX_GREP} GID_INDEX found on any\ [e2e-llm-inference-service] \ HCA.\"\n fi\n else\n echo \"[Infer RoCE] No active HCAs found,\ [e2e-llm-inference-service] \ skipping GID_INDEX inference.\"\n fi\nfi\n\n# --disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ landed in vLLM 0.16.0 (vllm-project/vllm#30011).\n# Older versions still\ [e2e-llm-inference-service] \ need the blanket --disable-uvicorn-access-log.\nACCESS_LOG_ARGS=\"--disable-uvicorn-access-log\"\ [e2e-llm-inference-service] \nVLLM_VERSION=$(vllm --version 2>/dev/null | tail -1 | awk '{print $NF}')\n\ [e2e-llm-inference-service] echo \"[access-log-detect] vllm version='${VLLM_VERSION}'\"\nif [[ \"$VLLM_VERSION\"\ [e2e-llm-inference-service] \ =~ ^[0-9]+\\.[0-9]+ ]] && [ \"$(printf '%s\\n%s\\n' \"0.16.0\" \"${VLLM_VERSION}\"\ [e2e-llm-inference-service] \ | sort -V | head -1)\" = \"0.16.0\" ]; then\n ACCESS_LOG_ARGS=\"--disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ /health,/metrics,/ping\"\nfi\necho \"[access-log-detect] selected ACCESS_LOG_ARGS='${ACCESS_LOG_ARGS}'\"\ [e2e-llm-inference-service] \n\n# --shutdown-timeout landed in vLLM 0.18.0 (vllm-project/vllm#36666).\n\ [e2e-llm-inference-service] SHUTDOWN_TIMEOUT_ARGS=\"\"\nif [[ \"$VLLM_VERSION\" =~ ^[0-9]+\\.[0-9]+\ [e2e-llm-inference-service] \ ]] && [ \"$(printf '%s\\n%s\\n' \"0.18.0\" \"${VLLM_VERSION}\" | sort\ [e2e-llm-inference-service] \ -V | head -1)\" = \"0.18.0\" ]; then\n SHUTDOWN_TIMEOUT_ARGS=\"--shutdown-timeout\ [e2e-llm-inference-service] \ 40\"\nfi\n\neval \"exec vllm serve /mnt/models \\\n --served-model-name\ [e2e-llm-inference-service] \ \"facebook/opt-125m\" \"publishers/kserve-ci-e2e-test/models/facebook/opt-125m\"\ [e2e-llm-inference-service] \ \\\n --port 8001 \\\n ${ACCESS_LOG_ARGS} \\\n ${SHUTDOWN_TIMEOUT_ARGS}\ [e2e-llm-inference-service] \ \\\n --enable-ssl-refresh \\\n --ssl-certfile /var/run/kserve/tls/tls.crt\ [e2e-llm-inference-service] \ \\\n --ssl-keyfile /var/run/kserve/tls/tls.key \\\n ${VLLM_ADDITIONAL_ARGS}\ [e2e-llm-inference-service] \ \\\n $@\"" [e2e-llm-inference-service] - -- [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8001 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: HOME [e2e-llm-inference-service] value: /home [e2e-llm-inference-service] - name: VLLM_LOGGING_LEVEL [e2e-llm-inference-service] value: DEBUG [e2e-llm-inference-service] - name: VLLM_CPU_KVCACHE_SPACE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: VLLM_ENABLE_V1_MULTIPROCESSING [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: USER [e2e-llm-inference-service] value: nonroot [e2e-llm-inference-service] - name: TORCHINDUCTOR_CACHE_DIR [e2e-llm-inference-service] value: /tmp/torchinductor-cache [e2e-llm-inference-service] - name: HF_HUB_CACHE [e2e-llm-inference-service] value: /models [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '2' [e2e-llm-inference-service] memory: 7Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] initialDelaySeconds: 180 [e2e-llm-inference-service] timeoutSeconds: 30 [e2e-llm-inference-service] periodSeconds: 30 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 8 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] initialDelaySeconds: 30 [e2e-llm-inference-service] timeoutSeconds: 5 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] startupProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8001 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 60 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] serviceAccountName: custom-route-timeout-pd-test-kserve [e2e-llm-inference-service] serviceAccount: custom-route-timeout-pd-test-kserve [e2e-llm-inference-service] securityContext: {} [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] strategy: [e2e-llm-inference-service] type: RollingUpdate [e2e-llm-inference-service] rollingUpdate: [e2e-llm-inference-service] maxUnavailable: 25% [e2e-llm-inference-service] maxSurge: 25% [e2e-llm-inference-service] revisionHistoryLimit: 10 [e2e-llm-inference-service] progressDeadlineSeconds: 600 [e2e-llm-inference-service] status: [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] updatedReplicas: 1 [e2e-llm-inference-service] readyReplicas: 1 [e2e-llm-inference-service] availableReplicas: 1 [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - type: Available [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastUpdateTime: '2026-07-07T16:05:30Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-07T16:05:30Z' [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: '2026-07-07T16:05:30Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-07T16:01:19Z' [e2e-llm-inference-service] reason: NewReplicaSetAvailable [e2e-llm-inference-service] message: ReplicaSet "custom-route-timeout-pd-test-kserve-84686ccc5b" has successfully [e2e-llm-inference-service] progressed. [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] kind: Deployment [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-pd-test-kserve-prefill [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 84f26ea6-b245-4915-a005-f3815ab91cf9 [e2e-llm-inference-service] resourceVersion: '73633' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:01:19Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload-prefill [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: prefill [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] deployment.kubernetes.io/revision: '1' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-pd-test [e2e-llm-inference-service] uid: ecc65483-3b96-4118-9d74-5aef82946786 [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: '2026-07-07T16:01:19Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [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":"ecc65483-3b96-4118-9d74-5aef82946786"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:progressDeadlineSeconds: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:revisionHistoryLimit: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:strategy: [e2e-llm-inference-service] f:rollingUpdate: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:maxSurge: {} [e2e-llm-inference-service] f:maxUnavailable: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:template: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:llm-d.ai/role: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_CACHE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HOME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"TORCHINDUCTOR_CACHE_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"USER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_CPU_KVCACHE_SPACE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_ENABLE_V1_MULTIPROCESSING"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_LOGGING_LEVEL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:startupProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/dev/shm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] k:{"mountPath":"/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"dshm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:medium: {} [e2e-llm-inference-service] f:sizeLimit: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"model-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tmp-dir"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-07T16:05:30Z' [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: custom-route-timeout-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: prefill [e2e-llm-inference-service] template: [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload-prefill [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: prefill [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] emptyDir: [e2e-llm-inference-service] medium: Memory [e2e-llm-inference-service] sizeLimit: 1Gi [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: custom-route-timeout-pd-test-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/bash [e2e-llm-inference-service] - -c [e2e-llm-inference-service] - "if [ -f /etc/profile.d/ibm-aiu-setup.sh ]; then\n source /etc/profile.d/ibm-aiu-setup.sh\n\ [e2e-llm-inference-service] fi\n\nif [ \"$KSERVE_INFER_ROCE\" = \"true\" ]; then\n echo \"Trying to\ [e2e-llm-inference-service] \ infer RoCE configs ... \"\n grep -H . /sys/class/infiniband/*/ports/*/gids/*\ [e2e-llm-inference-service] \ 2>/dev/null\n grep -H . /sys/class/infiniband/*/ports/*/gid_attrs/types/*\ [e2e-llm-inference-service] \ 2>/dev/null\n\n cat /proc/driver/nvidia/params\n\n KSERVE_INFER_IB_GID_INDEX_GREP=${KSERVE_INFER_IB_GID_INDEX_GREP:-\"\ [e2e-llm-inference-service] RoCE v2\"}\n\n echo \"[Infer RoCE] Discovering active HCAs ...\"\n active_hcas=()\n\ [e2e-llm-inference-service] \ # Loop through all mlx5 devices found in sysfs\n for hca_dir in /sys/class/infiniband/mlx5_*;\ [e2e-llm-inference-service] \ do\n # Ensure it's a directory before proceeding\n if [ -d \"\ [e2e-llm-inference-service] $hca_dir\" ]; then\n hca_name=$(basename \"$hca_dir\")\n \ [e2e-llm-inference-service] \ port_state_file=\"$hca_dir/ports/1/state\" # Assume port 1\n \ [e2e-llm-inference-service] \ type_file=\"$hca_dir/ports/1/gid_attrs/types/*\"\n\n echo\ [e2e-llm-inference-service] \ \"[Infer RoCE] Check if the port state file ${port_state_file} exists\ [e2e-llm-inference-service] \ and contains 'ACTIVE'\"\n if [ -f \"$port_state_file\" ] && grep\ [e2e-llm-inference-service] \ -q \"ACTIVE\" \"$port_state_file\" && grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\"\ [e2e-llm-inference-service] \ ${type_file} 2>/dev/null; then\n echo \"[Infer RoCE] Found\ [e2e-llm-inference-service] \ active HCA: $hca_name\"\n active_hcas+=(\"$hca_name\")\n\ [e2e-llm-inference-service] \ else\n echo \"[Infer RoCE] Skipping inactive or\ [e2e-llm-inference-service] \ down HCA: $hca_name\"\n fi\n fi\n done\n\n # Check if\ [e2e-llm-inference-service] \ we found any active HCAs\n if [ ${#active_hcas[@]} -gt 0 ]; then\n \ [e2e-llm-inference-service] \ # Join the array elements with a comma\n hca_port_pairs=()\n \ [e2e-llm-inference-service] \ for hca in \"${active_hcas[@]}\"; do\n hca_port_pairs+=(\"\ [e2e-llm-inference-service] ${hca}:1\")\n done\n\n active_hca_list=$(IFS=,; echo \"${active_hcas[*]}\"\ [e2e-llm-inference-service] )\n hca_port_pairs_list=$(IFS=,; echo \"${hca_port_pairs[*]}\")\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Setting active HCAs: ${active_hca_list}\"\n \ [e2e-llm-inference-service] \ export NCCL_IB_HCA=${NCCL_IB_HCA:-${active_hca_list}}\n export\ [e2e-llm-inference-service] \ NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST:-${hca_port_pairs_list}}\n export\ [e2e-llm-inference-service] \ UCX_NET_DEVICES=${UCX_NET_DEVICES:-${hca_port_pairs_list}}\n\n echo\ [e2e-llm-inference-service] \ \"[Infer RoCE] NCCL_IB_HCA=${NCCL_IB_HCA}\"\n echo \"[Infer RoCE]\ [e2e-llm-inference-service] \ NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST}\"\n echo \"[Infer RoCE] UCX_NET_DEVICES=${UCX_NET_DEVICES}\"\ [e2e-llm-inference-service] \n else\n echo \"[Infer RoCE] WARNING: No active RoCE HCAs found.\ [e2e-llm-inference-service] \ NCCL_IB_HCA will not be set.\"\n fi\n\n if [ ${#active_hcas[@]} -gt\ [e2e-llm-inference-service] \ 0 ]; then\n echo \"[Infer RoCE] Finding GID_INDEX for each active\ [e2e-llm-inference-service] \ HCA (SR-IOV compatible)...\"\n\n # For SR-IOV environments, find\ [e2e-llm-inference-service] \ the most common IPv4 RoCE v2 GID index across all HCAs\n declare\ [e2e-llm-inference-service] \ -A gid_index_count\n declare -A hca_gid_index\n\n for hca_name\ [e2e-llm-inference-service] \ in \"${active_hcas[@]}\"; do\n echo \"[Infer RoCE] Processing\ [e2e-llm-inference-service] \ HCA: ${hca_name}\"\n\n # Find all RoCE v2 IPv4 GIDs for this\ [e2e-llm-inference-service] \ HCA and count by index\n for tpath in /sys/class/infiniband/${hca_name}/ports/1/gid_attrs/types/*;\ [e2e-llm-inference-service] \ do\n if grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\" \"\ [e2e-llm-inference-service] $tpath\" 2>/dev/null; then\n idx=$(basename \"$tpath\"\ [e2e-llm-inference-service] )\n gid_file=\"/sys/class/infiniband/${hca_name}/ports/1/gids/${idx}\"\ [e2e-llm-inference-service] \n # Check for IPv4 GID (contains ffff:)\n \ [e2e-llm-inference-service] \ if [ -f \"$gid_file\" ] && grep -q \"ffff:\" \"$gid_file\"; then\n\ [e2e-llm-inference-service] \ gid_value=$(cat \"$gid_file\" 2>/dev/null || echo\ [e2e-llm-inference-service] \ \"\")\n echo \"[Infer RoCE] Found IPv4 RoCE v2 GID\ [e2e-llm-inference-service] \ for ${hca_name}: index=${idx}, gid=${gid_value}\"\n \ [e2e-llm-inference-service] \ hca_gid_index[\"${hca_name}\"]=\"${idx}\"\n gid_index_count[\"\ [e2e-llm-inference-service] ${idx}\"]=$((${gid_index_count[\"${idx}\"]} + 1))\n \ [e2e-llm-inference-service] \ break # Use first found IPv4 GID per HCA\n fi\n \ [e2e-llm-inference-service] \ fi\n done\n done\n\n # Find the most common\ [e2e-llm-inference-service] \ GID index (most likely to be consistent across nodes)\n best_gid_index=\"\ [e2e-llm-inference-service] \"\n max_count=0\n for idx in \"${!gid_index_count[@]}\"; do\n\ [e2e-llm-inference-service] \ count=${gid_index_count[\"${idx}\"]}\n echo \"[Infer\ [e2e-llm-inference-service] \ RoCE] GID_INDEX ${idx} found on ${count} HCAs\"\n if [ $count\ [e2e-llm-inference-service] \ -gt $max_count ]; then\n max_count=$count\n \ [e2e-llm-inference-service] \ best_gid_index=\"$idx\"\n fi\n done\n\n # Use deterministic\ [e2e-llm-inference-service] \ fallback if tied - prefer index 3 (SR-IOV standard)\n if [ ${#gid_index_count[@]}\ [e2e-llm-inference-service] \ -gt 1 ]; then\n echo \"[Infer RoCE] Multiple GID indices found,\ [e2e-llm-inference-service] \ selecting most common: ${best_gid_index}\"\n # If there's a tie,\ [e2e-llm-inference-service] \ prefer index 3 as it's most common in SR-IOV setups\n if [ -n\ [e2e-llm-inference-service] \ \"${gid_index_count['3']}\" ] && [ \"${gid_index_count['3']}\" -eq \"\ [e2e-llm-inference-service] $max_count\" ]; then\n best_gid_index=\"3\"\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using deterministic fallback: GID_INDEX=3 (SR-IOV\ [e2e-llm-inference-service] \ standard)\"\n fi\n fi\n\n # Check if GID_INDEX is already\ [e2e-llm-inference-service] \ set via environment variables\n if [ -n \"${NCCL_IB_GID_INDEX}\"\ [e2e-llm-inference-service] \ ]; then\n echo \"[Infer RoCE] Using pre-configured NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ from environment\"\n export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using pre-configured GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ for NCCL, NVSHMEM, and UCX\"\n elif [ -n \"$best_gid_index\" ]; then\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Selected GID_INDEX: ${best_gid_index} (found\ [e2e-llm-inference-service] \ on ${max_count} HCAs)\"\n\n export NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \n echo \"[Infer RoCE] Exported GID_INDEX=${best_gid_index} for\ [e2e-llm-inference-service] \ NCCL, NVSHMEM, and UCX\"\n else\n echo \"[Infer RoCE] ERROR:\ [e2e-llm-inference-service] \ No valid IPv4 ${KSERVE_INFER_IB_GID_INDEX_GREP} GID_INDEX found on any\ [e2e-llm-inference-service] \ HCA.\"\n fi\n else\n echo \"[Infer RoCE] No active HCAs found,\ [e2e-llm-inference-service] \ skipping GID_INDEX inference.\"\n fi\nfi\n\n# --disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ landed in vLLM 0.16.0 (vllm-project/vllm#30011).\n# Older versions still\ [e2e-llm-inference-service] \ need the blanket --disable-uvicorn-access-log.\nACCESS_LOG_ARGS=\"--disable-uvicorn-access-log\"\ [e2e-llm-inference-service] \nVLLM_VERSION=$(vllm --version 2>/dev/null | tail -1 | awk '{print $NF}')\n\ [e2e-llm-inference-service] echo \"[access-log-detect] vllm version='${VLLM_VERSION}'\"\nif [[ \"$VLLM_VERSION\"\ [e2e-llm-inference-service] \ =~ ^[0-9]+\\.[0-9]+ ]] && [ \"$(printf '%s\\n%s\\n' \"0.16.0\" \"${VLLM_VERSION}\"\ [e2e-llm-inference-service] \ | sort -V | head -1)\" = \"0.16.0\" ]; then\n ACCESS_LOG_ARGS=\"--disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ /health,/metrics,/ping\"\nfi\necho \"[access-log-detect] selected ACCESS_LOG_ARGS='${ACCESS_LOG_ARGS}'\"\ [e2e-llm-inference-service] \n\n# --shutdown-timeout landed in vLLM 0.18.0 (vllm-project/vllm#36666).\n\ [e2e-llm-inference-service] SHUTDOWN_TIMEOUT_ARGS=\"\"\nif [[ \"$VLLM_VERSION\" =~ ^[0-9]+\\.[0-9]+\ [e2e-llm-inference-service] \ ]] && [ \"$(printf '%s\\n%s\\n' \"0.18.0\" \"${VLLM_VERSION}\" | sort\ [e2e-llm-inference-service] \ -V | head -1)\" = \"0.18.0\" ]; then\n SHUTDOWN_TIMEOUT_ARGS=\"--shutdown-timeout\ [e2e-llm-inference-service] \ 40\"\nfi\n\neval \"exec vllm serve /mnt/models \\\n --served-model-name\ [e2e-llm-inference-service] \ \"facebook/opt-125m\" \\\n --port 8000 \\\n ${ACCESS_LOG_ARGS} \\\n\ [e2e-llm-inference-service] \ ${SHUTDOWN_TIMEOUT_ARGS} \\\n --enable-ssl-refresh \\\n --ssl-certfile\ [e2e-llm-inference-service] \ /var/run/kserve/tls/tls.crt \\\n --ssl-keyfile /var/run/kserve/tls/tls.key\ [e2e-llm-inference-service] \ \\\n ${VLLM_ADDITIONAL_ARGS} \\\n $@\"" [e2e-llm-inference-service] - -- [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: HOME [e2e-llm-inference-service] value: /home [e2e-llm-inference-service] - name: VLLM_LOGGING_LEVEL [e2e-llm-inference-service] value: DEBUG [e2e-llm-inference-service] - name: VLLM_CPU_KVCACHE_SPACE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: VLLM_ENABLE_V1_MULTIPROCESSING [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: USER [e2e-llm-inference-service] value: nonroot [e2e-llm-inference-service] - name: TORCHINDUCTOR_CACHE_DIR [e2e-llm-inference-service] value: /tmp/torchinductor-cache [e2e-llm-inference-service] - name: HF_HUB_CACHE [e2e-llm-inference-service] value: /models [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '2' [e2e-llm-inference-service] memory: 7Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] initialDelaySeconds: 180 [e2e-llm-inference-service] timeoutSeconds: 30 [e2e-llm-inference-service] periodSeconds: 30 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 8 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] initialDelaySeconds: 30 [e2e-llm-inference-service] timeoutSeconds: 5 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] startupProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 60 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: File [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] securityContext: {} [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] strategy: [e2e-llm-inference-service] type: RollingUpdate [e2e-llm-inference-service] rollingUpdate: [e2e-llm-inference-service] maxUnavailable: 25% [e2e-llm-inference-service] maxSurge: 25% [e2e-llm-inference-service] revisionHistoryLimit: 10 [e2e-llm-inference-service] progressDeadlineSeconds: 600 [e2e-llm-inference-service] status: [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] updatedReplicas: 1 [e2e-llm-inference-service] 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: '2026-07-07T16:05:30Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-07T16:05:30Z' [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: '2026-07-07T16:05:30Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-07T16:01:19Z' [e2e-llm-inference-service] reason: NewReplicaSetAvailable [e2e-llm-inference-service] message: ReplicaSet "custom-route-timeout-pd-test-kserve-prefill-7c7977969" has [e2e-llm-inference-service] successfully progressed. [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] kind: Deployment [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-pd-test-kserve-router-scheduler [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 67f6e056-8549-4c01-b7de-d95e774e2d37 [e2e-llm-inference-service] resourceVersion: '70391' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:01:20Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] deployment.kubernetes.io/revision: '1' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-pd-test [e2e-llm-inference-service] uid: ecc65483-3b96-4118-9d74-5aef82946786 [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: '2026-07-07T16:01:20Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [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":"ecc65483-3b96-4118-9d74-5aef82946786"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:progressDeadlineSeconds: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:revisionHistoryLimit: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:strategy: [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:template: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/version: {} [e2e-llm-inference-service] f:certificates.kserve.io/expiration-v2: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"SSL_CERT_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":5557,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9002,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9003,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9090,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp/tokenizer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"STORAGE_ALLOW_PATTERNS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:serviceAccount: {} [e2e-llm-inference-service] f:serviceAccountName: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tokenizer-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-uds"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-07T16:01:54Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:deployment.kubernetes.io/revision: {} [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:availableReplicas: {} [e2e-llm-inference-service] f:conditions: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"type":"Available"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:lastUpdateTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] k:{"type":"Progressing"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:lastTransitionTime: {} [e2e-llm-inference-service] f:lastUpdateTime: {} [e2e-llm-inference-service] f:message: {} [e2e-llm-inference-service] f:reason: {} [e2e-llm-inference-service] f:status: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:readyReplicas: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:updatedReplicas: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] template: [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] app.kubernetes.io/version: 0.9.0 [e2e-llm-inference-service] certificates.kserve.io/expiration-v2: 'true' [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: custom-route-timeout-pd-test-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-tmp [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] - name: STORAGE_ALLOW_PATTERNS [e2e-llm-inference-service] value: '["tokenizer.json", "tokenizer_config.json", "special_tokens_map.json", [e2e-llm-inference-service] "vocab.json", "merges.txt", "config.json", "generation_config.json"]' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/epp [e2e-llm-inference-service] - --pool-name [e2e-llm-inference-service] - custom-route-timeout-pd-test-inference-pool [e2e-llm-inference-service] - --pool-namespace [e2e-llm-inference-service] - kserve-ci-e2e-test [e2e-llm-inference-service] - --zap-encoder [e2e-llm-inference-service] - json [e2e-llm-inference-service] - --grpc-port [e2e-llm-inference-service] - '9002' [e2e-llm-inference-service] - --grpc-health-port [e2e-llm-inference-service] - '9003' [e2e-llm-inference-service] - --enable-cert-reload=true [e2e-llm-inference-service] - --secure-serving=true [e2e-llm-inference-service] - --model-server-metrics-scheme=https [e2e-llm-inference-service] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --config-text [e2e-llm-inference-service] - "apiVersion: inference.networking.x-k8s.io/v1alpha1\nkind: EndpointPickerConfig\n\ [e2e-llm-inference-service] plugins:\n- type: disagg-headers-handler\n- type: prefill-filter\n- type:\ [e2e-llm-inference-service] \ decode-filter\n- type: queue-scorer\n- type: prefix-cache-scorer\n- type:\ [e2e-llm-inference-service] \ max-score-picker\n- type: always-disagg-pd-decider\n- parameters:\n \ [e2e-llm-inference-service] \ deciders:\n prefill: always-disagg-pd-decider\n type: disagg-profile-handler\n\ [e2e-llm-inference-service] schedulingProfiles:\n- name: prefill\n plugins:\n - pluginRef: prefill-filter\n\ [e2e-llm-inference-service] \ - pluginRef: queue-scorer\n weight: 2\n - pluginRef: prefix-cache-scorer\n\ [e2e-llm-inference-service] \ weight: 3\n - pluginRef: max-score-picker\n- name: decode\n plugins:\n\ [e2e-llm-inference-service] \ - pluginRef: decode-filter\n - pluginRef: queue-scorer\n weight:\ [e2e-llm-inference-service] \ 2\n - pluginRef: prefix-cache-scorer\n weight: 3\n - pluginRef: max-score-picker\n" [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] containerPort: 9002 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] containerPort: 9003 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] containerPort: 9090 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] containerPort: 5557 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: SSL_CERT_DIR [e2e-llm-inference-service] value: /var/run/kserve/tls:/var/run/secrets/kubernetes.io/serviceaccount:/etc/pki/tls/certs [e2e-llm-inference-service] resources: [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] mountPath: /tmp/tokenizer [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: liveness [e2e-llm-inference-service] initialDelaySeconds: 5 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: readiness [e2e-llm-inference-service] initialDelaySeconds: 30 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] serviceAccountName: custom-route-timeout-pd-test-epp-sa [e2e-llm-inference-service] serviceAccount: custom-route-timeout-pd-test-epp-sa [e2e-llm-inference-service] securityContext: {} [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] strategy: [e2e-llm-inference-service] type: Recreate [e2e-llm-inference-service] revisionHistoryLimit: 10 [e2e-llm-inference-service] progressDeadlineSeconds: 600 [e2e-llm-inference-service] status: [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] updatedReplicas: 1 [e2e-llm-inference-service] readyReplicas: 1 [e2e-llm-inference-service] availableReplicas: 1 [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - type: Available [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] lastUpdateTime: '2026-07-07T16:01:53Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-07T16:01:53Z' [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: '2026-07-07T16:01:53Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-07T16:01:20Z' [e2e-llm-inference-service] reason: NewReplicaSetAvailable [e2e-llm-inference-service] message: ReplicaSet "custom-route-timeout-pd-test-kserve-router-scheduler-859d8f7469" [e2e-llm-inference-service] has successfully progressed. [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] kind: Deployment [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-pd-test-kserve-84686ccc5b [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 47318d44-1472-4c2e-82e5-ac74049f386b [e2e-llm-inference-service] resourceVersion: '73623' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:01:19Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: decode [e2e-llm-inference-service] pod-template-hash: 84686ccc5b [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] deployment.kubernetes.io/desired-replicas: '1' [e2e-llm-inference-service] deployment.kubernetes.io/max-replicas: '2' [e2e-llm-inference-service] deployment.kubernetes.io/revision: '1' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: apps/v1 [e2e-llm-inference-service] kind: Deployment [e2e-llm-inference-service] name: custom-route-timeout-pd-test-kserve [e2e-llm-inference-service] uid: 8efb3ace-dc1d-4d8b-ac9f-8b4175d26fa8 [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: '2026-07-07T16:01:19Z' [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":"8efb3ace-dc1d-4d8b-ac9f-8b4175d26fa8"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:template: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:llm-d.ai/role: {} [e2e-llm-inference-service] f:pod-template-hash: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_CACHE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HOME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"TORCHINDUCTOR_CACHE_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"USER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_CPU_KVCACHE_SPACE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_ENABLE_V1_MULTIPROCESSING"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_LOGGING_LEVEL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":8001,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:startupProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/dev/shm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] k:{"mountPath":"/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"llm-d-routing-sidecar"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"INFERENCE_POOL_NAME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"INFERENCE_POOL_NAMESPACE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:fieldRef: {} [e2e-llm-inference-service] k:{"name":"SSL_CERT_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:serviceAccount: {} [e2e-llm-inference-service] f:serviceAccountName: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"dshm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:medium: {} [e2e-llm-inference-service] f:sizeLimit: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"model-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tmp-dir"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-07T16:05:30Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:availableReplicas: {} [e2e-llm-inference-service] f:fullyLabeledReplicas: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:readyReplicas: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: decode [e2e-llm-inference-service] pod-template-hash: 84686ccc5b [e2e-llm-inference-service] template: [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: decode [e2e-llm-inference-service] pod-template-hash: 84686ccc5b [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: custom-route-timeout-pd-test-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: llm-d-routing-sidecar [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-disagg-sidecar:v0.9.0-rc.2 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/pd-sidecar [e2e-llm-inference-service] - --port=8000 [e2e-llm-inference-service] - --vllm-port=8001 [e2e-llm-inference-service] - --kv-connector=nixlv2 [e2e-llm-inference-service] - --enable-ssrf-protection=true [e2e-llm-inference-service] - --pool-group=inference.networking.x-k8s.io [e2e-llm-inference-service] - --inference-pool=kserve-ci-e2e-test/custom-route-timeout-pd-test-inference-pool [e2e-llm-inference-service] - --secure-proxy=true [e2e-llm-inference-service] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] - --decoder-use-tls=true [e2e-llm-inference-service] - --prefiller-use-tls=true [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: INFERENCE_POOL_NAMESPACE [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] fieldRef: [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] fieldPath: metadata.namespace [e2e-llm-inference-service] - name: SSL_CERT_DIR [e2e-llm-inference-service] value: /var/run/kserve/tls:/var/run/secrets/kubernetes.io/serviceaccount:/etc/pki/tls/certs [e2e-llm-inference-service] - name: INFERENCE_POOL_NAME [e2e-llm-inference-service] value: custom-route-timeout-pd-test-inference-pool [e2e-llm-inference-service] resources: {} [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] initialDelaySeconds: 10 [e2e-llm-inference-service] timeoutSeconds: 10 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] initialDelaySeconds: 10 [e2e-llm-inference-service] timeoutSeconds: 5 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 10 [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/bash [e2e-llm-inference-service] - -c [e2e-llm-inference-service] - "if [ -f /etc/profile.d/ibm-aiu-setup.sh ]; then\n source /etc/profile.d/ibm-aiu-setup.sh\n\ [e2e-llm-inference-service] fi\n\nif [ \"$KSERVE_INFER_ROCE\" = \"true\" ]; then\n echo \"Trying to\ [e2e-llm-inference-service] \ infer RoCE configs ... \"\n grep -H . /sys/class/infiniband/*/ports/*/gids/*\ [e2e-llm-inference-service] \ 2>/dev/null\n grep -H . /sys/class/infiniband/*/ports/*/gid_attrs/types/*\ [e2e-llm-inference-service] \ 2>/dev/null\n\n cat /proc/driver/nvidia/params\n\n KSERVE_INFER_IB_GID_INDEX_GREP=${KSERVE_INFER_IB_GID_INDEX_GREP:-\"\ [e2e-llm-inference-service] RoCE v2\"}\n\n echo \"[Infer RoCE] Discovering active HCAs ...\"\n active_hcas=()\n\ [e2e-llm-inference-service] \ # Loop through all mlx5 devices found in sysfs\n for hca_dir in /sys/class/infiniband/mlx5_*;\ [e2e-llm-inference-service] \ do\n # Ensure it's a directory before proceeding\n if [ -d \"\ [e2e-llm-inference-service] $hca_dir\" ]; then\n hca_name=$(basename \"$hca_dir\")\n \ [e2e-llm-inference-service] \ port_state_file=\"$hca_dir/ports/1/state\" # Assume port 1\n \ [e2e-llm-inference-service] \ type_file=\"$hca_dir/ports/1/gid_attrs/types/*\"\n\n echo\ [e2e-llm-inference-service] \ \"[Infer RoCE] Check if the port state file ${port_state_file} exists\ [e2e-llm-inference-service] \ and contains 'ACTIVE'\"\n if [ -f \"$port_state_file\" ] && grep\ [e2e-llm-inference-service] \ -q \"ACTIVE\" \"$port_state_file\" && grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\"\ [e2e-llm-inference-service] \ ${type_file} 2>/dev/null; then\n echo \"[Infer RoCE] Found\ [e2e-llm-inference-service] \ active HCA: $hca_name\"\n active_hcas+=(\"$hca_name\")\n\ [e2e-llm-inference-service] \ else\n echo \"[Infer RoCE] Skipping inactive or\ [e2e-llm-inference-service] \ down HCA: $hca_name\"\n fi\n fi\n done\n\n # Check if\ [e2e-llm-inference-service] \ we found any active HCAs\n if [ ${#active_hcas[@]} -gt 0 ]; then\n \ [e2e-llm-inference-service] \ # Join the array elements with a comma\n hca_port_pairs=()\n \ [e2e-llm-inference-service] \ for hca in \"${active_hcas[@]}\"; do\n hca_port_pairs+=(\"\ [e2e-llm-inference-service] ${hca}:1\")\n done\n\n active_hca_list=$(IFS=,; echo \"${active_hcas[*]}\"\ [e2e-llm-inference-service] )\n hca_port_pairs_list=$(IFS=,; echo \"${hca_port_pairs[*]}\")\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Setting active HCAs: ${active_hca_list}\"\n \ [e2e-llm-inference-service] \ export NCCL_IB_HCA=${NCCL_IB_HCA:-${active_hca_list}}\n export\ [e2e-llm-inference-service] \ NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST:-${hca_port_pairs_list}}\n export\ [e2e-llm-inference-service] \ UCX_NET_DEVICES=${UCX_NET_DEVICES:-${hca_port_pairs_list}}\n\n echo\ [e2e-llm-inference-service] \ \"[Infer RoCE] NCCL_IB_HCA=${NCCL_IB_HCA}\"\n echo \"[Infer RoCE]\ [e2e-llm-inference-service] \ NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST}\"\n echo \"[Infer RoCE] UCX_NET_DEVICES=${UCX_NET_DEVICES}\"\ [e2e-llm-inference-service] \n else\n echo \"[Infer RoCE] WARNING: No active RoCE HCAs found.\ [e2e-llm-inference-service] \ NCCL_IB_HCA will not be set.\"\n fi\n\n if [ ${#active_hcas[@]} -gt\ [e2e-llm-inference-service] \ 0 ]; then\n echo \"[Infer RoCE] Finding GID_INDEX for each active\ [e2e-llm-inference-service] \ HCA (SR-IOV compatible)...\"\n\n # For SR-IOV environments, find\ [e2e-llm-inference-service] \ the most common IPv4 RoCE v2 GID index across all HCAs\n declare\ [e2e-llm-inference-service] \ -A gid_index_count\n declare -A hca_gid_index\n\n for hca_name\ [e2e-llm-inference-service] \ in \"${active_hcas[@]}\"; do\n echo \"[Infer RoCE] Processing\ [e2e-llm-inference-service] \ HCA: ${hca_name}\"\n\n # Find all RoCE v2 IPv4 GIDs for this\ [e2e-llm-inference-service] \ HCA and count by index\n for tpath in /sys/class/infiniband/${hca_name}/ports/1/gid_attrs/types/*;\ [e2e-llm-inference-service] \ do\n if grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\" \"\ [e2e-llm-inference-service] $tpath\" 2>/dev/null; then\n idx=$(basename \"$tpath\"\ [e2e-llm-inference-service] )\n gid_file=\"/sys/class/infiniband/${hca_name}/ports/1/gids/${idx}\"\ [e2e-llm-inference-service] \n # Check for IPv4 GID (contains ffff:)\n \ [e2e-llm-inference-service] \ if [ -f \"$gid_file\" ] && grep -q \"ffff:\" \"$gid_file\"; then\n\ [e2e-llm-inference-service] \ gid_value=$(cat \"$gid_file\" 2>/dev/null || echo\ [e2e-llm-inference-service] \ \"\")\n echo \"[Infer RoCE] Found IPv4 RoCE v2 GID\ [e2e-llm-inference-service] \ for ${hca_name}: index=${idx}, gid=${gid_value}\"\n \ [e2e-llm-inference-service] \ hca_gid_index[\"${hca_name}\"]=\"${idx}\"\n gid_index_count[\"\ [e2e-llm-inference-service] ${idx}\"]=$((${gid_index_count[\"${idx}\"]} + 1))\n \ [e2e-llm-inference-service] \ break # Use first found IPv4 GID per HCA\n fi\n \ [e2e-llm-inference-service] \ fi\n done\n done\n\n # Find the most common\ [e2e-llm-inference-service] \ GID index (most likely to be consistent across nodes)\n best_gid_index=\"\ [e2e-llm-inference-service] \"\n max_count=0\n for idx in \"${!gid_index_count[@]}\"; do\n\ [e2e-llm-inference-service] \ count=${gid_index_count[\"${idx}\"]}\n echo \"[Infer\ [e2e-llm-inference-service] \ RoCE] GID_INDEX ${idx} found on ${count} HCAs\"\n if [ $count\ [e2e-llm-inference-service] \ -gt $max_count ]; then\n max_count=$count\n \ [e2e-llm-inference-service] \ best_gid_index=\"$idx\"\n fi\n done\n\n # Use deterministic\ [e2e-llm-inference-service] \ fallback if tied - prefer index 3 (SR-IOV standard)\n if [ ${#gid_index_count[@]}\ [e2e-llm-inference-service] \ -gt 1 ]; then\n echo \"[Infer RoCE] Multiple GID indices found,\ [e2e-llm-inference-service] \ selecting most common: ${best_gid_index}\"\n # If there's a tie,\ [e2e-llm-inference-service] \ prefer index 3 as it's most common in SR-IOV setups\n if [ -n\ [e2e-llm-inference-service] \ \"${gid_index_count['3']}\" ] && [ \"${gid_index_count['3']}\" -eq \"\ [e2e-llm-inference-service] $max_count\" ]; then\n best_gid_index=\"3\"\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using deterministic fallback: GID_INDEX=3 (SR-IOV\ [e2e-llm-inference-service] \ standard)\"\n fi\n fi\n\n # Check if GID_INDEX is already\ [e2e-llm-inference-service] \ set via environment variables\n if [ -n \"${NCCL_IB_GID_INDEX}\"\ [e2e-llm-inference-service] \ ]; then\n echo \"[Infer RoCE] Using pre-configured NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ from environment\"\n export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using pre-configured GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ for NCCL, NVSHMEM, and UCX\"\n elif [ -n \"$best_gid_index\" ]; then\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Selected GID_INDEX: ${best_gid_index} (found\ [e2e-llm-inference-service] \ on ${max_count} HCAs)\"\n\n export NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \n echo \"[Infer RoCE] Exported GID_INDEX=${best_gid_index} for\ [e2e-llm-inference-service] \ NCCL, NVSHMEM, and UCX\"\n else\n echo \"[Infer RoCE] ERROR:\ [e2e-llm-inference-service] \ No valid IPv4 ${KSERVE_INFER_IB_GID_INDEX_GREP} GID_INDEX found on any\ [e2e-llm-inference-service] \ HCA.\"\n fi\n else\n echo \"[Infer RoCE] No active HCAs found,\ [e2e-llm-inference-service] \ skipping GID_INDEX inference.\"\n fi\nfi\n\n# --disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ landed in vLLM 0.16.0 (vllm-project/vllm#30011).\n# Older versions still\ [e2e-llm-inference-service] \ need the blanket --disable-uvicorn-access-log.\nACCESS_LOG_ARGS=\"--disable-uvicorn-access-log\"\ [e2e-llm-inference-service] \nVLLM_VERSION=$(vllm --version 2>/dev/null | tail -1 | awk '{print $NF}')\n\ [e2e-llm-inference-service] echo \"[access-log-detect] vllm version='${VLLM_VERSION}'\"\nif [[ \"$VLLM_VERSION\"\ [e2e-llm-inference-service] \ =~ ^[0-9]+\\.[0-9]+ ]] && [ \"$(printf '%s\\n%s\\n' \"0.16.0\" \"${VLLM_VERSION}\"\ [e2e-llm-inference-service] \ | sort -V | head -1)\" = \"0.16.0\" ]; then\n ACCESS_LOG_ARGS=\"--disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ /health,/metrics,/ping\"\nfi\necho \"[access-log-detect] selected ACCESS_LOG_ARGS='${ACCESS_LOG_ARGS}'\"\ [e2e-llm-inference-service] \n\n# --shutdown-timeout landed in vLLM 0.18.0 (vllm-project/vllm#36666).\n\ [e2e-llm-inference-service] SHUTDOWN_TIMEOUT_ARGS=\"\"\nif [[ \"$VLLM_VERSION\" =~ ^[0-9]+\\.[0-9]+\ [e2e-llm-inference-service] \ ]] && [ \"$(printf '%s\\n%s\\n' \"0.18.0\" \"${VLLM_VERSION}\" | sort\ [e2e-llm-inference-service] \ -V | head -1)\" = \"0.18.0\" ]; then\n SHUTDOWN_TIMEOUT_ARGS=\"--shutdown-timeout\ [e2e-llm-inference-service] \ 40\"\nfi\n\neval \"exec vllm serve /mnt/models \\\n --served-model-name\ [e2e-llm-inference-service] \ \"facebook/opt-125m\" \"publishers/kserve-ci-e2e-test/models/facebook/opt-125m\"\ [e2e-llm-inference-service] \ \\\n --port 8001 \\\n ${ACCESS_LOG_ARGS} \\\n ${SHUTDOWN_TIMEOUT_ARGS}\ [e2e-llm-inference-service] \ \\\n --enable-ssl-refresh \\\n --ssl-certfile /var/run/kserve/tls/tls.crt\ [e2e-llm-inference-service] \ \\\n --ssl-keyfile /var/run/kserve/tls/tls.key \\\n ${VLLM_ADDITIONAL_ARGS}\ [e2e-llm-inference-service] \ \\\n $@\"" [e2e-llm-inference-service] - -- [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8001 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: HOME [e2e-llm-inference-service] value: /home [e2e-llm-inference-service] - name: VLLM_LOGGING_LEVEL [e2e-llm-inference-service] value: DEBUG [e2e-llm-inference-service] - name: VLLM_CPU_KVCACHE_SPACE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: VLLM_ENABLE_V1_MULTIPROCESSING [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: USER [e2e-llm-inference-service] value: nonroot [e2e-llm-inference-service] - name: TORCHINDUCTOR_CACHE_DIR [e2e-llm-inference-service] value: /tmp/torchinductor-cache [e2e-llm-inference-service] - name: HF_HUB_CACHE [e2e-llm-inference-service] value: /models [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '2' [e2e-llm-inference-service] memory: 7Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] initialDelaySeconds: 180 [e2e-llm-inference-service] timeoutSeconds: 30 [e2e-llm-inference-service] periodSeconds: 30 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 8 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] initialDelaySeconds: 30 [e2e-llm-inference-service] timeoutSeconds: 5 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] startupProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8001 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 60 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] serviceAccountName: custom-route-timeout-pd-test-kserve [e2e-llm-inference-service] serviceAccount: custom-route-timeout-pd-test-kserve [e2e-llm-inference-service] securityContext: {} [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] status: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] fullyLabeledReplicas: 1 [e2e-llm-inference-service] readyReplicas: 1 [e2e-llm-inference-service] availableReplicas: 1 [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] kind: ReplicaSet [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-pd-test-kserve-prefill-7c7977969 [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 4e9659bc-3aa1-4d2b-a105-fdef8290a733 [e2e-llm-inference-service] resourceVersion: '73630' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:01:19Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload-prefill [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: prefill [e2e-llm-inference-service] pod-template-hash: 7c7977969 [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] deployment.kubernetes.io/desired-replicas: '1' [e2e-llm-inference-service] deployment.kubernetes.io/max-replicas: '2' [e2e-llm-inference-service] deployment.kubernetes.io/revision: '1' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: apps/v1 [e2e-llm-inference-service] kind: Deployment [e2e-llm-inference-service] name: custom-route-timeout-pd-test-kserve-prefill [e2e-llm-inference-service] uid: 84f26ea6-b245-4915-a005-f3815ab91cf9 [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: '2026-07-07T16:01:19Z' [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":"84f26ea6-b245-4915-a005-f3815ab91cf9"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:template: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:kserve.io/component: {} [e2e-llm-inference-service] f:llm-d.ai/role: {} [e2e-llm-inference-service] f:pod-template-hash: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_CACHE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HOME"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"TORCHINDUCTOR_CACHE_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"USER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_CPU_KVCACHE_SPACE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_ENABLE_V1_MULTIPROCESSING"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"VLLM_LOGGING_LEVEL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":8000,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:startupProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:httpGet: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:path: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:scheme: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/dev/shm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] k:{"mountPath":"/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"dshm"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:medium: {} [e2e-llm-inference-service] f:sizeLimit: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"home"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"model-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tmp-dir"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-07T16:05:30Z' [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: custom-route-timeout-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: prefill [e2e-llm-inference-service] pod-template-hash: 7c7977969 [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: custom-route-timeout-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: prefill [e2e-llm-inference-service] pod-template-hash: 7c7977969 [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: custom-route-timeout-pd-test-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/bash [e2e-llm-inference-service] - -c [e2e-llm-inference-service] - "if [ -f /etc/profile.d/ibm-aiu-setup.sh ]; then\n source /etc/profile.d/ibm-aiu-setup.sh\n\ [e2e-llm-inference-service] fi\n\nif [ \"$KSERVE_INFER_ROCE\" = \"true\" ]; then\n echo \"Trying to\ [e2e-llm-inference-service] \ infer RoCE configs ... \"\n grep -H . /sys/class/infiniband/*/ports/*/gids/*\ [e2e-llm-inference-service] \ 2>/dev/null\n grep -H . /sys/class/infiniband/*/ports/*/gid_attrs/types/*\ [e2e-llm-inference-service] \ 2>/dev/null\n\n cat /proc/driver/nvidia/params\n\n KSERVE_INFER_IB_GID_INDEX_GREP=${KSERVE_INFER_IB_GID_INDEX_GREP:-\"\ [e2e-llm-inference-service] RoCE v2\"}\n\n echo \"[Infer RoCE] Discovering active HCAs ...\"\n active_hcas=()\n\ [e2e-llm-inference-service] \ # Loop through all mlx5 devices found in sysfs\n for hca_dir in /sys/class/infiniband/mlx5_*;\ [e2e-llm-inference-service] \ do\n # Ensure it's a directory before proceeding\n if [ -d \"\ [e2e-llm-inference-service] $hca_dir\" ]; then\n hca_name=$(basename \"$hca_dir\")\n \ [e2e-llm-inference-service] \ port_state_file=\"$hca_dir/ports/1/state\" # Assume port 1\n \ [e2e-llm-inference-service] \ type_file=\"$hca_dir/ports/1/gid_attrs/types/*\"\n\n echo\ [e2e-llm-inference-service] \ \"[Infer RoCE] Check if the port state file ${port_state_file} exists\ [e2e-llm-inference-service] \ and contains 'ACTIVE'\"\n if [ -f \"$port_state_file\" ] && grep\ [e2e-llm-inference-service] \ -q \"ACTIVE\" \"$port_state_file\" && grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\"\ [e2e-llm-inference-service] \ ${type_file} 2>/dev/null; then\n echo \"[Infer RoCE] Found\ [e2e-llm-inference-service] \ active HCA: $hca_name\"\n active_hcas+=(\"$hca_name\")\n\ [e2e-llm-inference-service] \ else\n echo \"[Infer RoCE] Skipping inactive or\ [e2e-llm-inference-service] \ down HCA: $hca_name\"\n fi\n fi\n done\n\n # Check if\ [e2e-llm-inference-service] \ we found any active HCAs\n if [ ${#active_hcas[@]} -gt 0 ]; then\n \ [e2e-llm-inference-service] \ # Join the array elements with a comma\n hca_port_pairs=()\n \ [e2e-llm-inference-service] \ for hca in \"${active_hcas[@]}\"; do\n hca_port_pairs+=(\"\ [e2e-llm-inference-service] ${hca}:1\")\n done\n\n active_hca_list=$(IFS=,; echo \"${active_hcas[*]}\"\ [e2e-llm-inference-service] )\n hca_port_pairs_list=$(IFS=,; echo \"${hca_port_pairs[*]}\")\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Setting active HCAs: ${active_hca_list}\"\n \ [e2e-llm-inference-service] \ export NCCL_IB_HCA=${NCCL_IB_HCA:-${active_hca_list}}\n export\ [e2e-llm-inference-service] \ NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST:-${hca_port_pairs_list}}\n export\ [e2e-llm-inference-service] \ UCX_NET_DEVICES=${UCX_NET_DEVICES:-${hca_port_pairs_list}}\n\n echo\ [e2e-llm-inference-service] \ \"[Infer RoCE] NCCL_IB_HCA=${NCCL_IB_HCA}\"\n echo \"[Infer RoCE]\ [e2e-llm-inference-service] \ NVSHMEM_HCA_LIST=${NVSHMEM_HCA_LIST}\"\n echo \"[Infer RoCE] UCX_NET_DEVICES=${UCX_NET_DEVICES}\"\ [e2e-llm-inference-service] \n else\n echo \"[Infer RoCE] WARNING: No active RoCE HCAs found.\ [e2e-llm-inference-service] \ NCCL_IB_HCA will not be set.\"\n fi\n\n if [ ${#active_hcas[@]} -gt\ [e2e-llm-inference-service] \ 0 ]; then\n echo \"[Infer RoCE] Finding GID_INDEX for each active\ [e2e-llm-inference-service] \ HCA (SR-IOV compatible)...\"\n\n # For SR-IOV environments, find\ [e2e-llm-inference-service] \ the most common IPv4 RoCE v2 GID index across all HCAs\n declare\ [e2e-llm-inference-service] \ -A gid_index_count\n declare -A hca_gid_index\n\n for hca_name\ [e2e-llm-inference-service] \ in \"${active_hcas[@]}\"; do\n echo \"[Infer RoCE] Processing\ [e2e-llm-inference-service] \ HCA: ${hca_name}\"\n\n # Find all RoCE v2 IPv4 GIDs for this\ [e2e-llm-inference-service] \ HCA and count by index\n for tpath in /sys/class/infiniband/${hca_name}/ports/1/gid_attrs/types/*;\ [e2e-llm-inference-service] \ do\n if grep -q \"${KSERVE_INFER_IB_GID_INDEX_GREP}\" \"\ [e2e-llm-inference-service] $tpath\" 2>/dev/null; then\n idx=$(basename \"$tpath\"\ [e2e-llm-inference-service] )\n gid_file=\"/sys/class/infiniband/${hca_name}/ports/1/gids/${idx}\"\ [e2e-llm-inference-service] \n # Check for IPv4 GID (contains ffff:)\n \ [e2e-llm-inference-service] \ if [ -f \"$gid_file\" ] && grep -q \"ffff:\" \"$gid_file\"; then\n\ [e2e-llm-inference-service] \ gid_value=$(cat \"$gid_file\" 2>/dev/null || echo\ [e2e-llm-inference-service] \ \"\")\n echo \"[Infer RoCE] Found IPv4 RoCE v2 GID\ [e2e-llm-inference-service] \ for ${hca_name}: index=${idx}, gid=${gid_value}\"\n \ [e2e-llm-inference-service] \ hca_gid_index[\"${hca_name}\"]=\"${idx}\"\n gid_index_count[\"\ [e2e-llm-inference-service] ${idx}\"]=$((${gid_index_count[\"${idx}\"]} + 1))\n \ [e2e-llm-inference-service] \ break # Use first found IPv4 GID per HCA\n fi\n \ [e2e-llm-inference-service] \ fi\n done\n done\n\n # Find the most common\ [e2e-llm-inference-service] \ GID index (most likely to be consistent across nodes)\n best_gid_index=\"\ [e2e-llm-inference-service] \"\n max_count=0\n for idx in \"${!gid_index_count[@]}\"; do\n\ [e2e-llm-inference-service] \ count=${gid_index_count[\"${idx}\"]}\n echo \"[Infer\ [e2e-llm-inference-service] \ RoCE] GID_INDEX ${idx} found on ${count} HCAs\"\n if [ $count\ [e2e-llm-inference-service] \ -gt $max_count ]; then\n max_count=$count\n \ [e2e-llm-inference-service] \ best_gid_index=\"$idx\"\n fi\n done\n\n # Use deterministic\ [e2e-llm-inference-service] \ fallback if tied - prefer index 3 (SR-IOV standard)\n if [ ${#gid_index_count[@]}\ [e2e-llm-inference-service] \ -gt 1 ]; then\n echo \"[Infer RoCE] Multiple GID indices found,\ [e2e-llm-inference-service] \ selecting most common: ${best_gid_index}\"\n # If there's a tie,\ [e2e-llm-inference-service] \ prefer index 3 as it's most common in SR-IOV setups\n if [ -n\ [e2e-llm-inference-service] \ \"${gid_index_count['3']}\" ] && [ \"${gid_index_count['3']}\" -eq \"\ [e2e-llm-inference-service] $max_count\" ]; then\n best_gid_index=\"3\"\n \ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using deterministic fallback: GID_INDEX=3 (SR-IOV\ [e2e-llm-inference-service] \ standard)\"\n fi\n fi\n\n # Check if GID_INDEX is already\ [e2e-llm-inference-service] \ set via environment variables\n if [ -n \"${NCCL_IB_GID_INDEX}\"\ [e2e-llm-inference-service] \ ]; then\n echo \"[Infer RoCE] Using pre-configured NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ from environment\"\n export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$NCCL_IB_GID_INDEX}\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Using pre-configured GID_INDEX=${NCCL_IB_GID_INDEX}\ [e2e-llm-inference-service] \ for NCCL, NVSHMEM, and UCX\"\n elif [ -n \"$best_gid_index\" ]; then\n\ [e2e-llm-inference-service] \ echo \"[Infer RoCE] Selected GID_INDEX: ${best_gid_index} (found\ [e2e-llm-inference-service] \ on ${max_count} HCAs)\"\n\n export NCCL_IB_GID_INDEX=${NCCL_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export NVSHMEM_IB_GID_INDEX=${NVSHMEM_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \ export UCX_IB_GID_INDEX=${UCX_IB_GID_INDEX:-$best_gid_index}\n\ [e2e-llm-inference-service] \n echo \"[Infer RoCE] Exported GID_INDEX=${best_gid_index} for\ [e2e-llm-inference-service] \ NCCL, NVSHMEM, and UCX\"\n else\n echo \"[Infer RoCE] ERROR:\ [e2e-llm-inference-service] \ No valid IPv4 ${KSERVE_INFER_IB_GID_INDEX_GREP} GID_INDEX found on any\ [e2e-llm-inference-service] \ HCA.\"\n fi\n else\n echo \"[Infer RoCE] No active HCAs found,\ [e2e-llm-inference-service] \ skipping GID_INDEX inference.\"\n fi\nfi\n\n# --disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ landed in vLLM 0.16.0 (vllm-project/vllm#30011).\n# Older versions still\ [e2e-llm-inference-service] \ need the blanket --disable-uvicorn-access-log.\nACCESS_LOG_ARGS=\"--disable-uvicorn-access-log\"\ [e2e-llm-inference-service] \nVLLM_VERSION=$(vllm --version 2>/dev/null | tail -1 | awk '{print $NF}')\n\ [e2e-llm-inference-service] echo \"[access-log-detect] vllm version='${VLLM_VERSION}'\"\nif [[ \"$VLLM_VERSION\"\ [e2e-llm-inference-service] \ =~ ^[0-9]+\\.[0-9]+ ]] && [ \"$(printf '%s\\n%s\\n' \"0.16.0\" \"${VLLM_VERSION}\"\ [e2e-llm-inference-service] \ | sort -V | head -1)\" = \"0.16.0\" ]; then\n ACCESS_LOG_ARGS=\"--disable-access-log-for-endpoints\ [e2e-llm-inference-service] \ /health,/metrics,/ping\"\nfi\necho \"[access-log-detect] selected ACCESS_LOG_ARGS='${ACCESS_LOG_ARGS}'\"\ [e2e-llm-inference-service] \n\n# --shutdown-timeout landed in vLLM 0.18.0 (vllm-project/vllm#36666).\n\ [e2e-llm-inference-service] SHUTDOWN_TIMEOUT_ARGS=\"\"\nif [[ \"$VLLM_VERSION\" =~ ^[0-9]+\\.[0-9]+\ [e2e-llm-inference-service] \ ]] && [ \"$(printf '%s\\n%s\\n' \"0.18.0\" \"${VLLM_VERSION}\" | sort\ [e2e-llm-inference-service] \ -V | head -1)\" = \"0.18.0\" ]; then\n SHUTDOWN_TIMEOUT_ARGS=\"--shutdown-timeout\ [e2e-llm-inference-service] \ 40\"\nfi\n\neval \"exec vllm serve /mnt/models \\\n --served-model-name\ [e2e-llm-inference-service] \ \"facebook/opt-125m\" \\\n --port 8000 \\\n ${ACCESS_LOG_ARGS} \\\n\ [e2e-llm-inference-service] \ ${SHUTDOWN_TIMEOUT_ARGS} \\\n --enable-ssl-refresh \\\n --ssl-certfile\ [e2e-llm-inference-service] \ /var/run/kserve/tls/tls.crt \\\n --ssl-keyfile /var/run/kserve/tls/tls.key\ [e2e-llm-inference-service] \ \\\n ${VLLM_ADDITIONAL_ARGS} \\\n $@\"" [e2e-llm-inference-service] - -- [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: HOME [e2e-llm-inference-service] value: /home [e2e-llm-inference-service] - name: VLLM_LOGGING_LEVEL [e2e-llm-inference-service] value: DEBUG [e2e-llm-inference-service] - name: VLLM_CPU_KVCACHE_SPACE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: VLLM_ENABLE_V1_MULTIPROCESSING [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: USER [e2e-llm-inference-service] value: nonroot [e2e-llm-inference-service] - name: TORCHINDUCTOR_CACHE_DIR [e2e-llm-inference-service] value: /tmp/torchinductor-cache [e2e-llm-inference-service] - name: HF_HUB_CACHE [e2e-llm-inference-service] value: /models [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '2' [e2e-llm-inference-service] memory: 7Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] initialDelaySeconds: 180 [e2e-llm-inference-service] timeoutSeconds: 30 [e2e-llm-inference-service] periodSeconds: 30 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 8 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] initialDelaySeconds: 30 [e2e-llm-inference-service] timeoutSeconds: 5 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] startupProbe: [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 60 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: File [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] securityContext: {} [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] status: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] fullyLabeledReplicas: 1 [e2e-llm-inference-service] readyReplicas: 1 [e2e-llm-inference-service] availableReplicas: 1 [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] kind: ReplicaSet [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-pd-test-kserve-router-scheduler-859d8f7469 [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: f0689d1e-c835-43b3-a5d7-7f2997d9880f [e2e-llm-inference-service] resourceVersion: '70390' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:01:20Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 859d8f7469 [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] deployment.kubernetes.io/desired-replicas: '1' [e2e-llm-inference-service] deployment.kubernetes.io/max-replicas: '1' [e2e-llm-inference-service] deployment.kubernetes.io/revision: '1' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: apps/v1 [e2e-llm-inference-service] kind: Deployment [e2e-llm-inference-service] name: custom-route-timeout-pd-test-kserve-router-scheduler [e2e-llm-inference-service] uid: 67f6e056-8549-4c01-b7de-d95e774e2d37 [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: '2026-07-07T16:01:20Z' [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":"67f6e056-8549-4c01-b7de-d95e774e2d37"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:template: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/version: {} [e2e-llm-inference-service] f:certificates.kserve.io/expiration-v2: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:pod-template-hash: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"SSL_CERT_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":5557,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9002,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9003,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9090,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp/tokenizer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:initContainers: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"storage-initializer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"AWS_ACCESS_KEY_ID"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_CA_BUNDLE_CONFIGMAP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_ENDPOINT_URL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"AWS_SECRET_ACCESS_KEY"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:valueFrom: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:secretKeyRef: {} [e2e-llm-inference-service] k:{"name":"HF_HUB_ENABLE_HF_TRANSFER"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_HIGH_PERFORMANCE"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"HF_XET_NUM_CONCURRENT_RANGE_GETS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_ENDPOINT"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_USE_HTTPS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"S3_VERIFY_SSL"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] k:{"name":"STORAGE_ALLOW_PATTERNS"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:limits: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/mnt/models"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:serviceAccount: {} [e2e-llm-inference-service] f:serviceAccountName: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"kserve-provision-location"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tokenizer-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-uds"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-07T16:01:53Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:availableReplicas: {} [e2e-llm-inference-service] f:fullyLabeledReplicas: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:readyReplicas: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] spec: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 859d8f7469 [e2e-llm-inference-service] template: [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 859d8f7469 [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] app.kubernetes.io/version: 0.9.0 [e2e-llm-inference-service] certificates.kserve.io/expiration-v2: 'true' [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: custom-route-timeout-pd-test-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-tmp [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] initContainers: [e2e-llm-inference-service] - name: storage-initializer [e2e-llm-inference-service] image: quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b [e2e-llm-inference-service] args: [e2e-llm-inference-service] - hf://facebook/opt-125m [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_ACCESS_KEY_ID [e2e-llm-inference-service] - name: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] valueFrom: [e2e-llm-inference-service] secretKeyRef: [e2e-llm-inference-service] name: seaweedfs-s3-creds [e2e-llm-inference-service] key: AWS_SECRET_ACCESS_KEY [e2e-llm-inference-service] - name: S3_USE_HTTPS [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: S3_ENDPOINT [e2e-llm-inference-service] value: s3-service.kserve:8333 [e2e-llm-inference-service] - name: AWS_ENDPOINT_URL [e2e-llm-inference-service] value: http://s3-service.kserve:8333 [e2e-llm-inference-service] - name: S3_VERIFY_SSL [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: AWS_CA_BUNDLE [e2e-llm-inference-service] value: /etc/ssl/custom-certs/cabundle.crt [e2e-llm-inference-service] - name: AWS_CA_BUNDLE_CONFIGMAP [e2e-llm-inference-service] value: odh-kserve-custom-ca-bundle [e2e-llm-inference-service] - name: HF_HUB_ENABLE_HF_TRANSFER [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_HIGH_PERFORMANCE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: HF_XET_NUM_CONCURRENT_RANGE_GETS [e2e-llm-inference-service] value: '8' [e2e-llm-inference-service] - name: STORAGE_ALLOW_PATTERNS [e2e-llm-inference-service] value: '["tokenizer.json", "tokenizer_config.json", "special_tokens_map.json", [e2e-llm-inference-service] "vocab.json", "merges.txt", "config.json", "generation_config.json"]' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '1' [e2e-llm-inference-service] memory: 24Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 100m [e2e-llm-inference-service] memory: 100Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: kserve-provision-location [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/epp [e2e-llm-inference-service] - --pool-name [e2e-llm-inference-service] - custom-route-timeout-pd-test-inference-pool [e2e-llm-inference-service] - --pool-namespace [e2e-llm-inference-service] - kserve-ci-e2e-test [e2e-llm-inference-service] - --zap-encoder [e2e-llm-inference-service] - json [e2e-llm-inference-service] - --grpc-port [e2e-llm-inference-service] - '9002' [e2e-llm-inference-service] - --grpc-health-port [e2e-llm-inference-service] - '9003' [e2e-llm-inference-service] - --enable-cert-reload=true [e2e-llm-inference-service] - --secure-serving=true [e2e-llm-inference-service] - --model-server-metrics-scheme=https [e2e-llm-inference-service] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --config-text [e2e-llm-inference-service] - "apiVersion: inference.networking.x-k8s.io/v1alpha1\nkind: EndpointPickerConfig\n\ [e2e-llm-inference-service] plugins:\n- type: disagg-headers-handler\n- type: prefill-filter\n- type:\ [e2e-llm-inference-service] \ decode-filter\n- type: queue-scorer\n- type: prefix-cache-scorer\n- type:\ [e2e-llm-inference-service] \ max-score-picker\n- type: always-disagg-pd-decider\n- parameters:\n \ [e2e-llm-inference-service] \ deciders:\n prefill: always-disagg-pd-decider\n type: disagg-profile-handler\n\ [e2e-llm-inference-service] schedulingProfiles:\n- name: prefill\n plugins:\n - pluginRef: prefill-filter\n\ [e2e-llm-inference-service] \ - pluginRef: queue-scorer\n weight: 2\n - pluginRef: prefix-cache-scorer\n\ [e2e-llm-inference-service] \ weight: 3\n - pluginRef: max-score-picker\n- name: decode\n plugins:\n\ [e2e-llm-inference-service] \ - pluginRef: decode-filter\n - pluginRef: queue-scorer\n weight:\ [e2e-llm-inference-service] \ 2\n - pluginRef: prefix-cache-scorer\n weight: 3\n - pluginRef: max-score-picker\n" [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] containerPort: 9002 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] containerPort: 9003 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] containerPort: 9090 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] containerPort: 5557 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: SSL_CERT_DIR [e2e-llm-inference-service] value: /var/run/kserve/tls:/var/run/secrets/kubernetes.io/serviceaccount:/etc/pki/tls/certs [e2e-llm-inference-service] resources: [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] mountPath: /tmp/tokenizer [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: liveness [e2e-llm-inference-service] initialDelaySeconds: 5 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: readiness [e2e-llm-inference-service] initialDelaySeconds: 30 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] serviceAccountName: custom-route-timeout-pd-test-epp-sa [e2e-llm-inference-service] serviceAccount: custom-route-timeout-pd-test-epp-sa [e2e-llm-inference-service] securityContext: {} [e2e-llm-inference-service] schedulerName: default-scheduler [e2e-llm-inference-service] status: [e2e-llm-inference-service] replicas: 1 [e2e-llm-inference-service] fullyLabeledReplicas: 1 [e2e-llm-inference-service] readyReplicas: 1 [e2e-llm-inference-service] availableReplicas: 1 [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] kind: ReplicaSet [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-pd-test-epp-rb [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 84ba9f18-43e5-41a2-bac3-eb2b4cc8a0bc [e2e-llm-inference-service] resourceVersion: '69803' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:01:20Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-pd-test [e2e-llm-inference-service] uid: ecc65483-3b96-4118-9d74-5aef82946786 [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: '2026-07-07T16:01:19Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [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":"ecc65483-3b96-4118-9d74-5aef82946786"}: {} [e2e-llm-inference-service] f:roleRef: {} [e2e-llm-inference-service] f:subjects: {} [e2e-llm-inference-service] subjects: [e2e-llm-inference-service] - kind: ServiceAccount [e2e-llm-inference-service] name: custom-route-timeout-pd-test-epp-sa [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] roleRef: [e2e-llm-inference-service] apiGroup: rbac.authorization.k8s.io [e2e-llm-inference-service] kind: Role [e2e-llm-inference-service] name: custom-route-timeout-pd-test-epp-role [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] kind: RoleBinding [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-pd-test-kserve-rb [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 3f18554a-3e18-40a2-b4c1-bea7cba366c3 [e2e-llm-inference-service] resourceVersion: '69752' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:01:19Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-pd-test [e2e-llm-inference-service] uid: ecc65483-3b96-4118-9d74-5aef82946786 [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: '2026-07-07T16:01:19Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [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":"ecc65483-3b96-4118-9d74-5aef82946786"}: {} [e2e-llm-inference-service] f:roleRef: {} [e2e-llm-inference-service] f:subjects: {} [e2e-llm-inference-service] subjects: [e2e-llm-inference-service] - kind: ServiceAccount [e2e-llm-inference-service] name: custom-route-timeout-pd-test-kserve [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] roleRef: [e2e-llm-inference-service] apiGroup: rbac.authorization.k8s.io [e2e-llm-inference-service] kind: Role [e2e-llm-inference-service] name: custom-route-timeout-pd-test-kserve-role [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] kind: RoleBinding [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-pd-test-epp-role [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 8ee52ead-5281-48d1-a082-ed3d48155a69 [e2e-llm-inference-service] resourceVersion: '69800' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:01:19Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-pd-test [e2e-llm-inference-service] uid: ecc65483-3b96-4118-9d74-5aef82946786 [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: '2026-07-07T16:01:19Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [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":"ecc65483-3b96-4118-9d74-5aef82946786"}: {} [e2e-llm-inference-service] f:rules: {} [e2e-llm-inference-service] rules: [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - '' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - pods [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - inference.networking.k8s.io [e2e-llm-inference-service] - inference.networking.x-k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencepools [e2e-llm-inference-service] - inferenceobjectives [e2e-llm-inference-service] - inferencemodels [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - inference.networking.x-k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencemodelrewrites [e2e-llm-inference-service] - inferencepoolimports [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - discovery.k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - endpointslices [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] - create [e2e-llm-inference-service] - update [e2e-llm-inference-service] - patch [e2e-llm-inference-service] - delete [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - coordination.k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - leases [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] kind: Role [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-pd-test-kserve-role [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 925d0afd-9a9c-4a8a-8204-fe4e3fcec201 [e2e-llm-inference-service] resourceVersion: '69749' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:01:19Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-pd-test [e2e-llm-inference-service] uid: ecc65483-3b96-4118-9d74-5aef82946786 [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: '2026-07-07T16:01:19Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [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":"ecc65483-3b96-4118-9d74-5aef82946786"}: {} [e2e-llm-inference-service] f:rules: {} [e2e-llm-inference-service] rules: [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - '' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - pods [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - inference.networking.x-k8s.io [e2e-llm-inference-service] - inference.networking.k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencepools [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] kind: Role [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-pd-test-epp-service-89s55 [e2e-llm-inference-service] generateName: custom-route-timeout-pd-test-epp-service- [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: fd4a6b4b-fece-44ad-9459-20bad074a2f0 [e2e-llm-inference-service] resourceVersion: '70388' [e2e-llm-inference-service] generation: 3 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:01:20Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] endpointslice.kubernetes.io/managed-by: endpointslice-controller.k8s.io [e2e-llm-inference-service] kubernetes.io/service-name: custom-route-timeout-pd-test-epp-service [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] endpoints.kubernetes.io/last-change-trigger-time: '2026-07-07T16:01:53Z' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: v1 [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: custom-route-timeout-pd-test-epp-service [e2e-llm-inference-service] uid: 450f6238-ec7b-47a2-841d-f819a1640175 [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: '2026-07-07T16:01:53Z' [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":"450f6238-ec7b-47a2-841d-f819a1640175"}: {} [e2e-llm-inference-service] f:ports: {} [e2e-llm-inference-service] addressType: IPv4 [e2e-llm-inference-service] endpoints: [e2e-llm-inference-service] - addresses: [e2e-llm-inference-service] - 10.133.0.42 [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] serving: true [e2e-llm-inference-service] terminating: false [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: custom-route-timeout-pd-test-kserve-router-scheduler-859d8b5s4w [e2e-llm-inference-service] uid: 60df7c70-cbe9-4723-8613-535e200b080b [e2e-llm-inference-service] nodeName: ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] zone: us-east-1a [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9002 [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9090 [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 5557 [e2e-llm-inference-service] apiVersion: discovery.k8s.io/v1 [e2e-llm-inference-service] kind: EndpointSlice [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-pd-test-kserve-workload-svc-ht4ht [e2e-llm-inference-service] generateName: custom-route-timeout-pd-test-kserve-workload-svc- [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 40510506-ffeb-498e-889a-ae8913e9eafa [e2e-llm-inference-service] resourceVersion: '73627' [e2e-llm-inference-service] generation: 5 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:01:19Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] endpointslice.kubernetes.io/managed-by: endpointslice-controller.k8s.io [e2e-llm-inference-service] kubernetes.io/service-name: custom-route-timeout-pd-test-kserve-workload-svc [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] endpoints.kubernetes.io/last-change-trigger-time: '2026-07-07T16:05:30Z' [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: v1 [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: custom-route-timeout-pd-test-kserve-workload-svc [e2e-llm-inference-service] uid: 350c93bc-c26f-4519-a65e-0d058be5920e [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: '2026-07-07T16:05:30Z' [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":"350c93bc-c26f-4519-a65e-0d058be5920e"}: {} [e2e-llm-inference-service] f:ports: {} [e2e-llm-inference-service] addressType: IPv4 [e2e-llm-inference-service] endpoints: [e2e-llm-inference-service] - addresses: [e2e-llm-inference-service] - 10.134.0.47 [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] serving: true [e2e-llm-inference-service] terminating: false [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: custom-route-timeout-pd-test-kserve-84686ccc5b-jlf6l [e2e-llm-inference-service] uid: 9ee4bc79-73b7-4285-b90f-89b648dc2689 [e2e-llm-inference-service] nodeName: ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] zone: us-east-1a [e2e-llm-inference-service] - addresses: [e2e-llm-inference-service] - 10.134.0.48 [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] serving: true [e2e-llm-inference-service] terminating: false [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: custom-route-timeout-pd-test-kserve-prefill-7c7977969-w26n9 [e2e-llm-inference-service] uid: 4e25ce6d-e57e-4dba-ac67-c0726a00c7bc [e2e-llm-inference-service] nodeName: ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] zone: us-east-1a [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: https [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] appProtocol: https [e2e-llm-inference-service] apiVersion: discovery.k8s.io/v1 [e2e-llm-inference-service] kind: EndpointSlice [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-pd-test-epp-rb [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 84ba9f18-43e5-41a2-bac3-eb2b4cc8a0bc [e2e-llm-inference-service] resourceVersion: '69803' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:01:20Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-pd-test [e2e-llm-inference-service] uid: ecc65483-3b96-4118-9d74-5aef82946786 [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: '2026-07-07T16:01:19Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [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":"ecc65483-3b96-4118-9d74-5aef82946786"}: {} [e2e-llm-inference-service] f:roleRef: {} [e2e-llm-inference-service] f:subjects: {} [e2e-llm-inference-service] userNames: [e2e-llm-inference-service] - system:serviceaccount:kserve-ci-e2e-test:custom-route-timeout-pd-test-epp-sa [e2e-llm-inference-service] groupNames: null [e2e-llm-inference-service] subjects: [e2e-llm-inference-service] - kind: ServiceAccount [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: custom-route-timeout-pd-test-epp-sa [e2e-llm-inference-service] roleRef: [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: custom-route-timeout-pd-test-epp-role [e2e-llm-inference-service] apiVersion: authorization.openshift.io/v1 [e2e-llm-inference-service] kind: RoleBinding [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-pd-test-kserve-rb [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 3f18554a-3e18-40a2-b4c1-bea7cba366c3 [e2e-llm-inference-service] resourceVersion: '69752' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:01:19Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-pd-test [e2e-llm-inference-service] uid: ecc65483-3b96-4118-9d74-5aef82946786 [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: '2026-07-07T16:01:19Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [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":"ecc65483-3b96-4118-9d74-5aef82946786"}: {} [e2e-llm-inference-service] f:roleRef: {} [e2e-llm-inference-service] f:subjects: {} [e2e-llm-inference-service] userNames: [e2e-llm-inference-service] - system:serviceaccount:kserve-ci-e2e-test:custom-route-timeout-pd-test-kserve [e2e-llm-inference-service] groupNames: null [e2e-llm-inference-service] subjects: [e2e-llm-inference-service] - kind: ServiceAccount [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: custom-route-timeout-pd-test-kserve [e2e-llm-inference-service] roleRef: [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: custom-route-timeout-pd-test-kserve-role [e2e-llm-inference-service] apiVersion: authorization.openshift.io/v1 [e2e-llm-inference-service] kind: RoleBinding [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-pd-test-epp-role [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 8ee52ead-5281-48d1-a082-ed3d48155a69 [e2e-llm-inference-service] resourceVersion: '69800' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:01:19Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-pd-test [e2e-llm-inference-service] uid: ecc65483-3b96-4118-9d74-5aef82946786 [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: '2026-07-07T16:01:19Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [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":"ecc65483-3b96-4118-9d74-5aef82946786"}: {} [e2e-llm-inference-service] f:rules: {} [e2e-llm-inference-service] rules: [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - '' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - pods [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - inference.networking.k8s.io [e2e-llm-inference-service] - inference.networking.x-k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencemodels [e2e-llm-inference-service] - inferenceobjectives [e2e-llm-inference-service] - inferencepools [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - inference.networking.x-k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencemodelrewrites [e2e-llm-inference-service] - inferencepoolimports [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - discovery.k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - endpointslices [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - create [e2e-llm-inference-service] - delete [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - patch [e2e-llm-inference-service] - update [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - coordination.k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - leases [e2e-llm-inference-service] apiVersion: authorization.openshift.io/v1 [e2e-llm-inference-service] kind: Role [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-pd-test-kserve-role [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 925d0afd-9a9c-4a8a-8204-fe4e3fcec201 [e2e-llm-inference-service] resourceVersion: '69749' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:01:19Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-pd-test [e2e-llm-inference-service] uid: ecc65483-3b96-4118-9d74-5aef82946786 [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: '2026-07-07T16:01:19Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [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":"ecc65483-3b96-4118-9d74-5aef82946786"}: {} [e2e-llm-inference-service] f:rules: {} [e2e-llm-inference-service] rules: [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - '' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - pods [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - inference.networking.x-k8s.io [e2e-llm-inference-service] - inference.networking.k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencepools [e2e-llm-inference-service] apiVersion: authorization.openshift.io/v1 [e2e-llm-inference-service] kind: Role [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: 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: '2026-07-07T16:01:20Z' [e2e-llm-inference-service] generation: 2 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-pd-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":"ecc65483-3b96-4118-9d74-5aef82946786"}: {} [e2e-llm-inference-service] f:spec: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-07T16:01:53Z' [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: '2026-07-07T16:01:54Z' [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: '2026-07-07T16:01:55Z' [e2e-llm-inference-service] name: custom-route-timeout-pd-test-kserve-route [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-pd-test [e2e-llm-inference-service] uid: ecc65483-3b96-4118-9d74-5aef82946786 [e2e-llm-inference-service] resourceVersion: '70418' [e2e-llm-inference-service] uid: a6033342-7cc1-4e01-9e79-6179d4746d86 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] parentRefs: [e2e-llm-inference-service] - group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] rules: [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: custom-route-timeout-pd-test-inference-pool [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/completions [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/custom-route-timeout-pd-test/v1/completions [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 30s [e2e-llm-inference-service] request: 30s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: custom-route-timeout-pd-test-inference-pool [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/chat/completions [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/custom-route-timeout-pd-test/v1/chat/completions [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 30s [e2e-llm-inference-service] request: 30s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: custom-route-timeout-pd-test-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: / [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/custom-route-timeout-pd-test [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 30s [e2e-llm-inference-service] request: 30s [e2e-llm-inference-service] status: [e2e-llm-inference-service] parents: [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T16:01:20Z' [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: '2026-07-07T16:01:54Z' [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: '2026-07-07T16:01:21Z' [e2e-llm-inference-service] message: Object affected by AuthPolicy [kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-route-authn [e2e-llm-inference-service] openshift-ingress/openshift-ai-inference-authn] [e2e-llm-inference-service] observedGeneration: 2 [e2e-llm-inference-service] reason: Accepted [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: kuadrant.io/AuthPolicyAffected [e2e-llm-inference-service] controllerName: kuadrant.io/policy-controller [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: gateway.networking.k8s.io/v1beta1 [e2e-llm-inference-service] kind: HTTPRoute [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] serving.kserve.io/inference-pool-migrated: v1 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:01:20Z' [e2e-llm-inference-service] generation: 2 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-pd-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":"ecc65483-3b96-4118-9d74-5aef82946786"}: {} [e2e-llm-inference-service] f:spec: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-07T16:01:53Z' [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: '2026-07-07T16:01:54Z' [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: '2026-07-07T16:01:55Z' [e2e-llm-inference-service] name: custom-route-timeout-pd-test-kserve-route [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-pd-test [e2e-llm-inference-service] uid: ecc65483-3b96-4118-9d74-5aef82946786 [e2e-llm-inference-service] resourceVersion: '70418' [e2e-llm-inference-service] uid: a6033342-7cc1-4e01-9e79-6179d4746d86 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] parentRefs: [e2e-llm-inference-service] - group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] rules: [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: custom-route-timeout-pd-test-inference-pool [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/completions [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/custom-route-timeout-pd-test/v1/completions [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 30s [e2e-llm-inference-service] request: 30s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: custom-route-timeout-pd-test-inference-pool [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: /v1/chat/completions [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/custom-route-timeout-pd-test/v1/chat/completions [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 30s [e2e-llm-inference-service] request: 30s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: custom-route-timeout-pd-test-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] weight: 1 [e2e-llm-inference-service] filters: [e2e-llm-inference-service] - type: URLRewrite [e2e-llm-inference-service] urlRewrite: [e2e-llm-inference-service] path: [e2e-llm-inference-service] replacePrefixMatch: / [e2e-llm-inference-service] type: ReplacePrefixMatch [e2e-llm-inference-service] matches: [e2e-llm-inference-service] - path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: /kserve-ci-e2e-test/custom-route-timeout-pd-test [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 30s [e2e-llm-inference-service] request: 30s [e2e-llm-inference-service] status: [e2e-llm-inference-service] parents: [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T16:01:20Z' [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: '2026-07-07T16:01:54Z' [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: '2026-07-07T16:01:21Z' [e2e-llm-inference-service] message: Object affected by AuthPolicy [kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-route-authn [e2e-llm-inference-service] openshift-ingress/openshift-ai-inference-authn] [e2e-llm-inference-service] observedGeneration: 2 [e2e-llm-inference-service] reason: Accepted [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: kuadrant.io/AuthPolicyAffected [e2e-llm-inference-service] controllerName: kuadrant.io/policy-controller [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: inference.networking.k8s.io/v1 [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:01:20Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: inference.networking.k8s.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"ecc65483-3b96-4118-9d74-5aef82946786"}: {} [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: '2026-07-07T16:01:20Z' [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: '2026-07-07T16:01:53Z' [e2e-llm-inference-service] name: custom-route-timeout-pd-test-inference-pool [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-pd-test [e2e-llm-inference-service] uid: ecc65483-3b96-4118-9d74-5aef82946786 [e2e-llm-inference-service] resourceVersion: '70382' [e2e-llm-inference-service] uid: 3fcf3c99-48b1-41b2-99d1-d299df096fad [e2e-llm-inference-service] spec: [e2e-llm-inference-service] appProtocol: http [e2e-llm-inference-service] endpointPickerRef: [e2e-llm-inference-service] failureMode: FailOpen [e2e-llm-inference-service] group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: custom-route-timeout-pd-test-epp-service [e2e-llm-inference-service] port: [e2e-llm-inference-service] number: 9002 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] matchLabels: [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] targetPorts: [e2e-llm-inference-service] - number: 8000 [e2e-llm-inference-service] status: [e2e-llm-inference-service] parents: [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T16:01:53Z' [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: '2026-07-07T16:01:53Z' [e2e-llm-inference-service] message: Referenced ExtensionRef resolved successfully [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] reason: ResolvedRefs [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: ResolvedRefs [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: networking.istio.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: kuadrant.io/v1 [e2e-llm-inference-service] kind: AuthPolicy [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:01:23Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-policies [e2e-llm-inference-service] app.kubernetes.io/managed-by: odh-model-controller [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: kuadrant.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/managed-by: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"ecc65483-3b96-4118-9d74-5aef82946786"}: {} [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: '2026-07-07T16:01:23Z' [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: '2026-07-07T16:01:26Z' [e2e-llm-inference-service] name: custom-route-timeout-pd-test-kserve-route-authn [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-pd-test [e2e-llm-inference-service] uid: ecc65483-3b96-4118-9d74-5aef82946786 [e2e-llm-inference-service] resourceVersion: '69988' [e2e-llm-inference-service] uid: 608e246e-d00e-440b-b824-ed6e4e9cbb2f [e2e-llm-inference-service] spec: [e2e-llm-inference-service] rules: [e2e-llm-inference-service] authentication: [e2e-llm-inference-service] public: [e2e-llm-inference-service] anonymous: {} [e2e-llm-inference-service] credentials: {} [e2e-llm-inference-service] metrics: false [e2e-llm-inference-service] overrides: [e2e-llm-inference-service] fairness: [e2e-llm-inference-service] value: unauthenticated [e2e-llm-inference-service] objective: [e2e-llm-inference-service] value: unauthenticated [e2e-llm-inference-service] priority: 0 [e2e-llm-inference-service] response: [e2e-llm-inference-service] success: [e2e-llm-inference-service] headers: [e2e-llm-inference-service] x-gateway-inference-fairness-id: [e2e-llm-inference-service] metrics: false [e2e-llm-inference-service] plain: [e2e-llm-inference-service] expression: auth.identity.fairness [e2e-llm-inference-service] priority: 0 [e2e-llm-inference-service] x-gateway-inference-objective: [e2e-llm-inference-service] metrics: false [e2e-llm-inference-service] plain: [e2e-llm-inference-service] expression: auth.identity.objective [e2e-llm-inference-service] priority: 0 [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: HTTPRoute [e2e-llm-inference-service] name: custom-route-timeout-pd-test-kserve-route [e2e-llm-inference-service] status: [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T16:01:24Z' [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: '2026-07-07T16:01:26Z' [e2e-llm-inference-service] message: AuthPolicy has been successfully enforced [e2e-llm-inference-service] reason: Enforced [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: Enforced [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:01:20Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"ecc65483-3b96-4118-9d74-5aef82946786"}: {} [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: '2026-07-07T16:01:20Z' [e2e-llm-inference-service] name: custom-route-timeout-pd-test-kserve-scheduler [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-pd-test [e2e-llm-inference-service] uid: ecc65483-3b96-4118-9d74-5aef82946786 [e2e-llm-inference-service] resourceVersion: '69850' [e2e-llm-inference-service] uid: 8fcb71eb-24fb-4d69-bdfa-899a04687e95 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: custom-route-timeout-pd-test-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: custom-route-timeout-pd-test-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:01:54Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-shadow-service [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"ecc65483-3b96-4118-9d74-5aef82946786"}: {} [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: '2026-07-07T16:01:54Z' [e2e-llm-inference-service] name: custom-route-timeout-pd-test-kserve-shadow-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-pd-test [e2e-llm-inference-service] uid: ecc65483-3b96-4118-9d74-5aef82946786 [e2e-llm-inference-service] resourceVersion: '70400' [e2e-llm-inference-service] uid: 09d6769d-d3e0-4322-aafb-a7abf56938c9 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: custom-route-timeout-pd-test-inference-pool-ip-d3cee9e3.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: custom-route-timeout-pd-test-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:01:20Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"ecc65483-3b96-4118-9d74-5aef82946786"}: {} [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: '2026-07-07T16:01:20Z' [e2e-llm-inference-service] name: custom-route-timeout-pd-test-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-pd-test [e2e-llm-inference-service] uid: ecc65483-3b96-4118-9d74-5aef82946786 [e2e-llm-inference-service] resourceVersion: '69864' [e2e-llm-inference-service] uid: 836ed2b7-861c-44a3-8649-fc014989137b [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: custom-route-timeout-pd-test-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: custom-route-timeout-pd-test-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1beta1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:01:20Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"ecc65483-3b96-4118-9d74-5aef82946786"}: {} [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: '2026-07-07T16:01:20Z' [e2e-llm-inference-service] name: custom-route-timeout-pd-test-kserve-scheduler [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-pd-test [e2e-llm-inference-service] uid: ecc65483-3b96-4118-9d74-5aef82946786 [e2e-llm-inference-service] resourceVersion: '69850' [e2e-llm-inference-service] uid: 8fcb71eb-24fb-4d69-bdfa-899a04687e95 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: custom-route-timeout-pd-test-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: custom-route-timeout-pd-test-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1beta1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:01:54Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-shadow-service [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"ecc65483-3b96-4118-9d74-5aef82946786"}: {} [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: '2026-07-07T16:01:54Z' [e2e-llm-inference-service] name: custom-route-timeout-pd-test-kserve-shadow-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-pd-test [e2e-llm-inference-service] uid: ecc65483-3b96-4118-9d74-5aef82946786 [e2e-llm-inference-service] resourceVersion: '70400' [e2e-llm-inference-service] uid: 09d6769d-d3e0-4322-aafb-a7abf56938c9 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: custom-route-timeout-pd-test-inference-pool-ip-d3cee9e3.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: custom-route-timeout-pd-test-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1beta1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:01:20Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"ecc65483-3b96-4118-9d74-5aef82946786"}: {} [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: '2026-07-07T16:01:20Z' [e2e-llm-inference-service] name: custom-route-timeout-pd-test-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-pd-test [e2e-llm-inference-service] uid: ecc65483-3b96-4118-9d74-5aef82946786 [e2e-llm-inference-service] resourceVersion: '69864' [e2e-llm-inference-service] uid: 836ed2b7-861c-44a3-8649-fc014989137b [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: custom-route-timeout-pd-test-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: custom-route-timeout-pd-test-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1alpha3 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:01:20Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"ecc65483-3b96-4118-9d74-5aef82946786"}: {} [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: '2026-07-07T16:01:20Z' [e2e-llm-inference-service] name: custom-route-timeout-pd-test-kserve-scheduler [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-pd-test [e2e-llm-inference-service] uid: ecc65483-3b96-4118-9d74-5aef82946786 [e2e-llm-inference-service] resourceVersion: '69850' [e2e-llm-inference-service] uid: 8fcb71eb-24fb-4d69-bdfa-899a04687e95 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: custom-route-timeout-pd-test-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: custom-route-timeout-pd-test-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1alpha3 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:01:54Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-shadow-service [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"ecc65483-3b96-4118-9d74-5aef82946786"}: {} [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: '2026-07-07T16:01:54Z' [e2e-llm-inference-service] name: custom-route-timeout-pd-test-kserve-shadow-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-pd-test [e2e-llm-inference-service] uid: ecc65483-3b96-4118-9d74-5aef82946786 [e2e-llm-inference-service] resourceVersion: '70400' [e2e-llm-inference-service] uid: 09d6769d-d3e0-4322-aafb-a7abf56938c9 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: custom-route-timeout-pd-test-inference-pool-ip-d3cee9e3.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: custom-route-timeout-pd-test-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1alpha3 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:01:20Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] llm-d.ai/managed: 'true' [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:llm-d.ai/managed: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"ecc65483-3b96-4118-9d74-5aef82946786"}: {} [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: '2026-07-07T16:01:20Z' [e2e-llm-inference-service] name: custom-route-timeout-pd-test-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-pd-test [e2e-llm-inference-service] uid: ecc65483-3b96-4118-9d74-5aef82946786 [e2e-llm-inference-service] resourceVersion: '69864' [e2e-llm-inference-service] uid: 836ed2b7-861c-44a3-8649-fc014989137b [e2e-llm-inference-service] spec: [e2e-llm-inference-service] exportTo: [e2e-llm-inference-service] - '*' [e2e-llm-inference-service] host: custom-route-timeout-pd-test-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: custom-route-timeout-pd-test-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: inference.networking.x-k8s.io/v1alpha2 [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:01:20Z' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - apiVersion: inference.networking.x-k8s.io/v1alpha2 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:ownerReferences: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"uid":"ecc65483-3b96-4118-9d74-5aef82946786"}: {} [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: '2026-07-07T16:01:20Z' [e2e-llm-inference-service] name: custom-route-timeout-pd-test-inference-pool [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: custom-route-timeout-pd-test [e2e-llm-inference-service] uid: ecc65483-3b96-4118-9d74-5aef82946786 [e2e-llm-inference-service] resourceVersion: '69820' [e2e-llm-inference-service] uid: e3e177e4-81cc-4b30-ad58-8cff8533844e [e2e-llm-inference-service] spec: [e2e-llm-inference-service] extensionRef: [e2e-llm-inference-service] failureMode: FailOpen [e2e-llm-inference-service] group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: custom-route-timeout-pd-test-epp-service [e2e-llm-inference-service] portNumber: 9002 [e2e-llm-inference-service] selector: [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] targetPortNumber: 8000 [e2e-llm-inference-service] status: [e2e-llm-inference-service] parent: [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '1970-01-01T00:00:00Z' [e2e-llm-inference-service] message: Waiting for controller [e2e-llm-inference-service] reason: Pending [e2e-llm-inference-service] status: Unknown [e2e-llm-inference-service] type: Accepted [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: gateway.networking.k8s.io [e2e-llm-inference-service] kind: Status [e2e-llm-inference-service] name: default [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-pd-test-kserve-84686ccc5b-jlf6l [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:20:38Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: decode [e2e-llm-inference-service] pod-template-hash: 84686ccc5b [e2e-llm-inference-service] timestamp: '2026-07-07T16:20:30Z' [e2e-llm-inference-service] window: 10.484s [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] usage: [e2e-llm-inference-service] cpu: 100112075n [e2e-llm-inference-service] memory: 2404544Ki [e2e-llm-inference-service] - name: llm-d-routing-sidecar [e2e-llm-inference-service] usage: [e2e-llm-inference-service] cpu: 16951241n [e2e-llm-inference-service] memory: 21184Ki [e2e-llm-inference-service] apiVersion: metrics.k8s.io/v1beta1 [e2e-llm-inference-service] kind: PodMetrics [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-pd-test-kserve-prefill-7c7977969-w26n9 [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:20:38Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-workload-prefill [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] kserve.io/component: workload [e2e-llm-inference-service] llm-d.ai/role: prefill [e2e-llm-inference-service] pod-template-hash: 7c7977969 [e2e-llm-inference-service] timestamp: '2026-07-07T16:20:25Z' [e2e-llm-inference-service] window: 12.472s [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] usage: [e2e-llm-inference-service] cpu: 108308050n [e2e-llm-inference-service] memory: 2405516Ki [e2e-llm-inference-service] apiVersion: metrics.k8s.io/v1beta1 [e2e-llm-inference-service] kind: PodMetrics [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: custom-route-timeout-pd-test-kserve-router-scheduler-859d8b5s4w [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:20:38Z' [e2e-llm-inference-service] labels: [e2e-llm-inference-service] app.kubernetes.io/component: llminferenceservice-router-scheduler [e2e-llm-inference-service] app.kubernetes.io/name: custom-route-timeout-pd-test [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 859d8f7469 [e2e-llm-inference-service] timestamp: '2026-07-07T16:20:26Z' [e2e-llm-inference-service] window: 10.591s [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] usage: [e2e-llm-inference-service] cpu: 124130016n [e2e-llm-inference-service] memory: 34296Ki [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] [2026-07-07T16:20:38.437276] end - ❌ 1194.747s: ❌ Failed to call model: HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Max retries exceeded with url: /kserve-ci-e2e-test/custom-route-timeout-pd-test/v1/completions (Caused by ReadTimeoutError("HTTPConnectionPool(host='abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com', port=80): Read timed out. (read timeout=60)")) [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.llminferenceservice [e2e-llm-inference-service] @pytest.mark.asyncio(loop_scope="session") [e2e-llm-inference-service] @pytest.mark.parametrize( [e2e-llm-inference-service] "test_case", [e2e-llm-inference-service] [ [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-with-gateway-ref", [e2e-llm-inference-service] "router-with-managed-route", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/completions", [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=create_response_assertion(with_field="choices"), [e2e-llm-inference-service] expected_gateway=ROUTER_GATEWAYS[0], [e2e-llm-inference-service] before_test=[ [e2e-llm-inference-service] lambda: create_router_resources( [e2e-llm-inference-service] gateways=[ROUTER_GATEWAYS[0]], [e2e-llm-inference-service] ) [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] pytest.mark.custom_gateway, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-custom-route-timeout", [e2e-llm-inference-service] "scheduler-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="custom-route-timeout-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-with-refs", [e2e-llm-inference-service] "scheduler-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="router-with-refs-test", [e2e-llm-inference-service] expected_gateway=ROUTER_GATEWAYS[0], [e2e-llm-inference-service] before_test=[ [e2e-llm-inference-service] lambda: create_router_resources( [e2e-llm-inference-service] gateways=[ROUTER_GATEWAYS[0]], [e2e-llm-inference-service] routes=[ROUTER_ROUTES[0], ROUTER_ROUTES[1]], [e2e-llm-inference-service] ) [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.custom_gateway, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=["router-managed", "workload-pd-cpu", "model-fb-opt-125m"], [e2e-llm-inference-service] prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. " [e2e-llm-inference-service] "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. " [e2e-llm-inference-service] "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-custom-route-timeout-pd", [e2e-llm-inference-service] "scheduler-managed", [e2e-llm-inference-service] "workload-pd-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. " [e2e-llm-inference-service] "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. " [e2e-llm-inference-service] "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.", [e2e-llm-inference-service] service_name="custom-route-timeout-pd-test", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-with-refs-pd", [e2e-llm-inference-service] "scheduler-managed", [e2e-llm-inference-service] "workload-pd-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="You are an expert in Kubernetes-native machine learning serving platforms, with deep knowledge of the KServe project. " [e2e-llm-inference-service] "Explain the challenges of serving large-scale models, GPU scheduling, and how KServe integrates with capabilities like multi-model serving. " [e2e-llm-inference-service] "Provide a detailed comparison with open source alternatives, focusing on operational trade-offs.", [e2e-llm-inference-service] service_name="router-with-refs-pd-test", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] expected_gateway=ROUTER_GATEWAYS[1], [e2e-llm-inference-service] before_test=[ [e2e-llm-inference-service] lambda: create_router_resources( [e2e-llm-inference-service] gateways=[ROUTER_GATEWAYS[1]], [e2e-llm-inference-service] routes=[ROUTER_ROUTES[2], ROUTER_ROUTES[3]], [e2e-llm-inference-service] ) [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.custom_gateway, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-dp-ep-gpu", [e2e-llm-inference-service] "workload-dp-ep-prefill-gpu", [e2e-llm-inference-service] "model-deepseek-v2-lite", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="Delve into the multifaceted implications of a fully disaggregated cloud architecture, specifically " [e2e-llm-inference-service] "where the compute plane (P) and the data plane (D) are independently deployed and managed for a " [e2e-llm-inference-service] "geographically distributed, high-throughput, low-latency microservices ecosystem. Beyond the " [e2e-llm-inference-service] "fundamental challenges of network latency and data consistency, elaborate on the advanced " [e2e-llm-inference-service] "considerations and trade-offs inherent in such a setup: 1. Network Architecture and Protocols: " [e2e-llm-inference-service] "How would the network fabric and underlying protocols (e.g., RDMA, custom transport layers) need to " [e2e-llm-inference-service] "evolve to support optimal performance and minimize inter-plane communication overhead, especially for " [e2e-llm-inference-service] "synchronous operations? Discuss the role of network programmability (e.g., SDN, P4) in dynamically " [e2e-llm-inference-service] "optimizing routing and traffic flow between P and D. 2. Advanced Data Consistency and Durability: " [e2e-llm-inference-service] "Explore sophisticated data consistency models (e.g., causal consistency, strong eventual consistency) " [e2e-llm-inference-service] "and their applicability in balancing performance and data integrity across a globally distributed data plane. " [e2e-llm-inference-service] "Detail strategies for ensuring data durability and fault tolerance, including multi-region replication, " [e2e-llm-inference-service] "intelligent partitioning, and recovery mechanisms in the event of partial or full plane failures. " [e2e-llm-inference-service] "3. Dynamic Resource Orchestration and Cost Optimization: Analyze how an orchestration layer would intelligently " [e2e-llm-inference-service] "manage the independent scaling of compute (P) and data (D) resources, considering fluctuating workloads, " [e2e-llm-inference-service] "cost efficiency, and performance targets (e.g., using predictive analytics for resource provisioning). " [e2e-llm-inference-service] "Discuss mechanisms for dynamically reallocating compute nodes to different data partitions based on " [e2e-llm-inference-service] "workload patterns and data locality, potentially involving live migration strategies. " [e2e-llm-inference-service] "4. Security and Compliance in a Distributed Landscape: Address the enhanced security perimeter " [e2e-llm-inference-service] "challenges, including securing communication channels between P and D (encryption in transit, mutual TLS), " [e2e-llm-inference-service] "fine-grained access control to data at rest and in motion, and identity management across disaggregated " [e2e-llm-inference-service] "components. Discuss how such an architecture impacts compliance with regulatory frameworks (e.g., GDPR, HIPAA) " [e2e-llm-inference-service] "concerning data sovereignty, privacy, and auditability. 5. Operational Complexity and Observability: " [e2e-llm-inference-service] "Examine the increased complexity in monitoring, logging, and tracing across highly decoupled compute and " [e2e-llm-inference-service] "data planes. What specialized tooling and practices (e.g., distributed tracing with OpenTelemetry, advanced AIOps) " [e2e-llm-inference-service] "would be essential? How would incident response and troubleshooting differ in this disaggregated environment " [e2e-llm-inference-service] "compared to traditional integrated systems? Consider the challenges of pinpointing root causes across " [e2e-llm-inference-service] "independent failures. 6. Real-world Applicability and Future Trends: Identify specific industries " [e2e-llm-inference-service] "or use cases (e.g., high-frequency trading, IoT edge processing, large language model inference) " [e2e-llm-inference-service] "where the benefits of P/D disaggregation would strongly outweigh its complexities. " [e2e-llm-inference-service] "Conclude by speculating on emerging technologies or paradigms (e.g., serverless compute functions " [e2e-llm-inference-service] "directly interacting with object storage, in-memory disaggregation) that could further drive or " [e2e-llm-inference-service] "transform P/D disaggregation in cloud computing.", [e2e-llm-inference-service] max_tokens=2000, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_gpu, [e2e-llm-inference-service] pytest.mark.cluster_nvidia, [e2e-llm-inference-service] pytest.mark.cluster_nvidia_roce, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-no-scheduler", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="What is KServe?", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.no_scheduler, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-simulated-dp-ep-cpu", [e2e-llm-inference-service] "model-fb-opt-125m", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="This test simulates DP+EP that can run on CPU, the idea is to test the LWS-based deployment, " [e2e-llm-inference-service] "but without the resources requirements for DP+EP (GPUs and ROCe/IB).", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_multi_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Scheduler config tests [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-inline-config", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-inline-config-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Chat completions endpoint coverage [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] "model-qwen2.5-0.5b", [e2e-llm-inference-service] ], [e2e-llm-inference-service] model_name="Qwen/Qwen2.5-0.5B-Instruct", [e2e-llm-inference-service] endpoint="/v1/chat/completions", [e2e-llm-inference-service] prompt="What is KServe?", [e2e-llm-inference-service] payload_formatter=chat_completions_payload, [e2e-llm-inference-service] response_assertion=create_response_assertion(with_field="choices"), [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-configmap-ref", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-configmap-ref-test", [e2e-llm-inference-service] before_test=[create_scheduler_configmap], [e2e-llm-inference-service] after_test=[delete_scheduler_configmap], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-replicas", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-ha-replicas-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-custom-template", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-custom-template-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[pytest.mark.cluster_cpu, pytest.mark.cluster_single_node], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Scheduler v0.6 → v0.7 migration tests. [e2e-llm-inference-service] # Deploy v0.6-style configs and verify the controller migrates them [e2e-llm-inference-service] # so the v0.7 scheduler boots successfully. [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-v06-pd-config-migration", [e2e-llm-inference-service] "workload-llmd-simulator-pd", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-v06-pd-migration-test", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-v06-nonzero-threshold-migration", [e2e-llm-inference-service] "workload-llmd-simulator-pd", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="scheduler-v06-threshold-migration-test", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Precise prefix KV cache routing test [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "scheduler-with-precise-prefix-cache-inline-config", [e2e-llm-inference-service] "workload-llmd-simulator-kvcache", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] service_name="precise-prefix-cache-test", [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Models endpoint coverage [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/models", [e2e-llm-inference-service] response_assertion=create_response_assertion(with_field="data"), [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Model-based routing via X-Gateway-Model-Name header — /v1/completions [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/completions", [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches("facebook/opt-125m"), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m", [e2e-llm-inference-service] }, [e2e-llm-inference-service] peers=[ [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] "model-qwen2.5-0.5b", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/completions", [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches( [e2e-llm-inference-service] "Qwen/Qwen2.5-0.5B-Instruct" [e2e-llm-inference-service] ), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/Qwen/Qwen2.5-0.5B-Instruct", [e2e-llm-inference-service] }, [e2e-llm-inference-service] ), [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] pytest.mark.model_routing, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Model-based routing via X-Gateway-Model-Name header — /v1/chat/completions [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/chat/completions", [e2e-llm-inference-service] prompt="What is KServe?", [e2e-llm-inference-service] payload_formatter=chat_completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches("facebook/opt-125m"), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m", [e2e-llm-inference-service] }, [e2e-llm-inference-service] peers=[ [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-llmd-simulator", [e2e-llm-inference-service] "model-qwen2.5-0.5b", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/chat/completions", [e2e-llm-inference-service] prompt="What is KServe?", [e2e-llm-inference-service] payload_formatter=chat_completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches( [e2e-llm-inference-service] "Qwen/Qwen2.5-0.5B-Instruct" [e2e-llm-inference-service] ), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/Qwen/Qwen2.5-0.5B-Instruct", [e2e-llm-inference-service] }, [e2e-llm-inference-service] ), [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.llmd_simulator, [e2e-llm-inference-service] pytest.mark.model_routing, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Model-based routing via X-Gateway-Model-Name header — LoRA adapter [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m-with-lora-hf", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/completions", [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] model_name=f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1", [e2e-llm-inference-service] payload_formatter=completions_payload, [e2e-llm-inference-service] response_assertion=assert_model_field_matches( [e2e-llm-inference-service] f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1" [e2e-llm-inference-service] ), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1", [e2e-llm-inference-service] }, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.model_routing, [e2e-llm-inference-service] pytest.mark.lora, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # Model-based routing via X-Gateway-Model-Name header — /v1/models (base + LoRA) [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-fb-opt-125m-with-lora-hf", [e2e-llm-inference-service] ], [e2e-llm-inference-service] endpoint="/v1/models", [e2e-llm-inference-service] response_assertion=assert_models_contains( [e2e-llm-inference-service] "facebook/opt-125m", [e2e-llm-inference-service] f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m", [e2e-llm-inference-service] "lora-adapter-1", [e2e-llm-inference-service] f"publishers/{KSERVE_TEST_NAMESPACE}/models/lora-adapter-1", [e2e-llm-inference-service] ), [e2e-llm-inference-service] url_getter=get_model_routing_url, [e2e-llm-inference-service] extra_headers={ [e2e-llm-inference-service] MODEL_ROUTING_HEADER: f"publishers/{KSERVE_TEST_NAMESPACE}/models/facebook/opt-125m", [e2e-llm-inference-service] }, [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.model_routing, [e2e-llm-inference-service] pytest.mark.lora, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] # PVC storage tests -- validate direct PVC volume mount with real vLLM serving [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-single-cpu", [e2e-llm-inference-service] "model-pvc", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] before_test=[ensure_pvc_with_model], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.pvc_storage, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-pd-cpu", [e2e-llm-inference-service] "model-pvc", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] response_assertion=assert_200_with_choices, [e2e-llm-inference-service] before_test=[ensure_pvc_with_model], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_single_node, [e2e-llm-inference-service] pytest.mark.pvc_storage, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] pytest.param( [e2e-llm-inference-service] TestCase( [e2e-llm-inference-service] base_refs=[ [e2e-llm-inference-service] "router-managed", [e2e-llm-inference-service] "workload-simulated-dp-ep-cpu", [e2e-llm-inference-service] "model-pvc", [e2e-llm-inference-service] ], [e2e-llm-inference-service] prompt="KServe is a", [e2e-llm-inference-service] before_test=[ensure_pvc_with_model], [e2e-llm-inference-service] ), [e2e-llm-inference-service] marks=[ [e2e-llm-inference-service] pytest.mark.cluster_cpu, [e2e-llm-inference-service] pytest.mark.cluster_multi_node, [e2e-llm-inference-service] pytest.mark.pvc_storage, [e2e-llm-inference-service] ], [e2e-llm-inference-service] ), [e2e-llm-inference-service] ], [e2e-llm-inference-service] indirect=["test_case"], [e2e-llm-inference-service] ids=generate_test_id, [e2e-llm-inference-service] ) [e2e-llm-inference-service] @log_execution [e2e-llm-inference-service] def test_llm_inference_service(test_case: TestCase): # noqa: F811 [e2e-llm-inference-service] inject_k8s_proxy() [e2e-llm-inference-service] [e2e-llm-inference-service] kserve_client = KServeClient( [e2e-llm-inference-service] config_file=os.environ.get("KUBECONFIG", "~/.kube/config"), [e2e-llm-inference-service] client_configuration=client.Configuration(), [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] service_name = test_case.llm_service.metadata.name [e2e-llm-inference-service] if not test_case.llm_service.metadata.annotations: [e2e-llm-inference-service] test_case.llm_service.metadata.annotations = {} [e2e-llm-inference-service] [e2e-llm-inference-service] test_case.llm_service.metadata.annotations[ [e2e-llm-inference-service] "security.opendatahub.io/enable-auth" [e2e-llm-inference-service] ] = "false" [e2e-llm-inference-service] prefix = test_case.log_prefix [e2e-llm-inference-service] [e2e-llm-inference-service] test_failed = False [e2e-llm-inference-service] try: [e2e-llm-inference-service] print(f"{prefix} Creating LLMInferenceService {service_name}") [e2e-llm-inference-service] create_llmisvc(kserve_client, test_case.llm_service) [e2e-llm-inference-service] print(f"{prefix} Waiting for LLMInferenceService {service_name} to be ready") [e2e-llm-inference-service] > wait_for_llm_isvc_ready( [e2e-llm-inference-service] kserve_client, test_case.llm_service, test_case.wait_timeout [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:812: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] args = (, {'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kin...pu-ll-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 = '2026-07-07T16:06:31.007230', start_time = 1783440391.0075095 [e2e-llm-inference-service] duration = 900.3824322223663, timestamp_end = '2026-07-07T16:21:31.389944' [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] [e2e-llm-inference-service] conditions = status["conditions"] [e2e-llm-inference-service] [e2e-llm-inference-service] for condition in conditions: [e2e-llm-inference-service] if condition.get("status") == "True": [e2e-llm-inference-service] got_true_conditions.add(condition.get("type")) [e2e-llm-inference-service] [e2e-llm-inference-service] missing_conditions = expected_true_conditions - got_true_conditions [e2e-llm-inference-service] if missing_conditions: [e2e-llm-inference-service] raise AssertionError( [e2e-llm-inference-service] f"Missing true conditions: {missing_conditions}, expected {expected_true_conditions}, got {conditions}" [e2e-llm-inference-service] ) [e2e-llm-inference-service] return True [e2e-llm-inference-service] [e2e-llm-inference-service] > return wait_for(assert_llm_isvc_ready, timeout=timeout_seconds, interval=1.0) [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:1204: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] assertion_fn = .assert_llm_isvc_ready at 0x7fb9db8fe3e0> [e2e-llm-inference-service] timeout = 900, interval = 1.0 [e2e-llm-inference-service] [e2e-llm-inference-service] def wait_for( [e2e-llm-inference-service] assertion_fn: Callable[[], Any], timeout: float = 5.0, interval: float = 0.1 [e2e-llm-inference-service] ) -> Any: [e2e-llm-inference-service] """Wait for the assertion to succeed within timeout.""" [e2e-llm-inference-service] deadline = time.time() + timeout [e2e-llm-inference-service] last_msg = None [e2e-llm-inference-service] while True: [e2e-llm-inference-service] try: [e2e-llm-inference-service] > return assertion_fn() [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:1215: [e2e-llm-inference-service] _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ [e2e-llm-inference-service] [e2e-llm-inference-service] def assert_llm_isvc_ready(): [e2e-llm-inference-service] out = get_llmisvc( [e2e-llm-inference-service] kserve_client, [e2e-llm-inference-service] given.metadata.name, [e2e-llm-inference-service] given.metadata.namespace, [e2e-llm-inference-service] given.api_version.split("/")[1], [e2e-llm-inference-service] ) [e2e-llm-inference-service] [e2e-llm-inference-service] if "status" not in out: [e2e-llm-inference-service] raise AssertionError("No status found in LLM inference service") [e2e-llm-inference-service] [e2e-llm-inference-service] status = out["status"] [e2e-llm-inference-service] if "conditions" not in status: [e2e-llm-inference-service] raise AssertionError("No conditions found in status") [e2e-llm-inference-service] [e2e-llm-inference-service] expected_true_conditions = {"Ready", "WorkloadsReady", "RouterReady"} [e2e-llm-inference-service] got_true_conditions = set() [e2e-llm-inference-service] [e2e-llm-inference-service] conditions = status["conditions"] [e2e-llm-inference-service] [e2e-llm-inference-service] for condition in conditions: [e2e-llm-inference-service] if condition.get("status") == "True": [e2e-llm-inference-service] got_true_conditions.add(condition.get("type")) [e2e-llm-inference-service] [e2e-llm-inference-service] missing_conditions = expected_true_conditions - got_true_conditions [e2e-llm-inference-service] if missing_conditions: [e2e-llm-inference-service] > raise AssertionError( [e2e-llm-inference-service] f"Missing true conditions: {missing_conditions}, expected {expected_true_conditions}, got {conditions}" [e2e-llm-inference-service] ) [e2e-llm-inference-service] E AssertionError: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'Ready', 'WorkloadsReady', 'RouterReady'}, got [{'lastTransitionTime': '2026-07-07T16:06:56Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-07T16:06:56Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-07T16:06:39Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-07T16:07:20Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-07T16:07:20Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-07T16:07:20Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-07T16:06:39Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'WorkerWorkloadReady'}, {'lastTransitionTime': '2026-07-07T16:06:39Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:1199: AssertionError [e2e-llm-inference-service] ------------------------------ Captured log setup ------------------------------ [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1637 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1637 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1637 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1752 PVC e2e-pvc-model-storage already exists in namespace kserve-ci-e2e-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1962 Model download Job already completed, skipping [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1586 Checking LLMInferenceServiceConfig router-managed-llmisvc-model-pv-2f105a64 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1612 Resource not found, creating LLMInferenceServiceConfig router-managed-llmisvc-model-pv-2f105a64 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1622 ✓ Successfully created LLMInferenceServiceConfig router-managed-llmisvc-model-pv-2f105a64 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1586 Checking LLMInferenceServiceConfig workload-simulated-dp-ep-cpu-ll-699c687c in namespace kserve-ci-e2e-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1612 Resource not found, creating LLMInferenceServiceConfig workload-simulated-dp-ep-cpu-ll-699c687c [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1622 ✓ Successfully created LLMInferenceServiceConfig workload-simulated-dp-ep-cpu-ll-699c687c [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1586 Checking LLMInferenceServiceConfig model-pvc-llmisvc-model-pvc-rou-cfc8d654 in namespace kserve-ci-e2e-test [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1612 Resource not found, creating LLMInferenceServiceConfig model-pvc-llmisvc-model-pvc-rou-cfc8d654 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:fixtures.py:1622 ✓ 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] [2026-07-07T16:06:30.906936] 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, before_test=[], after_test=[], peers=[], llm_service={'api_version': 'serving.kserve.io/v1alpha1', [e2e-llm-inference-service] 'kind': 'LLMInferenceService', [e2e-llm-inference-service] 'metadata': {'annotations': None, [e2e-llm-inference-service] 'creation_timestamp': None, [e2e-llm-inference-service] 'deletion_grace_period_seconds': None, [e2e-llm-inference-service] 'deletion_timestamp': None, [e2e-llm-inference-service] 'finalizers': None, [e2e-llm-inference-service] 'generate_name': None, [e2e-llm-inference-service] 'generation': None, [e2e-llm-inference-service] 'labels': None, [e2e-llm-inference-service] 'managed_fields': None, [e2e-llm-inference-service] 'name': 'llmisvc-model-pvc-router-manage-2577e794', [e2e-llm-inference-service] 'namespace': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-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:1637 No HTTP proxy configured for k8s client [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [create_llmisvc] [2026-07-07T16:06:30.919832] 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': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-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] [2026-07-07T16:06:31.007112] end - ✅ in 0.087s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:logging.py:34 [wait_for_llm_isvc_ready] [2026-07-07T16:06:31.007230] 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': 'kserve-ci-e2e-test', [e2e-llm-inference-service] 'owner_references': None, [e2e-llm-inference-service] 'resource_version': None, [e2e-llm-inference-service] 'self_link': None, [e2e-llm-inference-service] 'uid': None}, [e2e-llm-inference-service] 'spec': {'baseRefs': [{'name': 'router-managed-llmisvc-model-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:1222 Waiting: No conditions found in status [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1222 Waiting: Missing true conditions: {'Ready', 'WorkloadsReady', 'RouterReady'}, expected {'Ready', 'WorkloadsReady', 'RouterReady'}, got [{'lastTransitionTime': '2026-07-07T16:06:39Z', 'message': 'The following HTTPRoutes are not ready: [kserve-ci-e2e-test/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': '2026-07-07T16:06:39Z', 'message': 'Inference Pool kserve-ci-e2e-test/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': '2026-07-07T16:06:39Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-07T16:06:39Z', 'message': 'The following HTTPRoutes are not ready: [kserve-ci-e2e-test/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': '2026-07-07T16:06:39Z', 'message': 'The following HTTPRoutes are not ready: [kserve-ci-e2e-test/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': '2026-07-07T16:06:39Z', 'message': 'Deployment rollout in progress', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-07T16:06:39Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'WorkerWorkloadReady'}, {'lastTransitionTime': '2026-07-07T16:06:39Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1222 Waiting: Missing true conditions: {'Ready', 'WorkloadsReady', 'RouterReady'}, expected {'Ready', 'WorkloadsReady', 'RouterReady'}, got [{'lastTransitionTime': '2026-07-07T16:06:56Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-07T16:06:56Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-07T16:06:39Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-07T16:06:56Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-07T16:06:56Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'status': 'False', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-07T16:06:56Z', 'message': 'Deployment does not have minimum availability.', 'reason': 'MinimumReplicasUnavailable', 'severity': 'Info', 'status': 'False', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-07T16:06:39Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'WorkerWorkloadReady'}, {'lastTransitionTime': '2026-07-07T16:06:39Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1222 Waiting: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'Ready', 'WorkloadsReady', 'RouterReady'}, got [{'lastTransitionTime': '2026-07-07T16:06:56Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-07T16:06:56Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-07T16:06:39Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-07T16:07:20Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-07T16:07:20Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-07T16:07:20Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-07T16:06:39Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'WorkerWorkloadReady'}, {'lastTransitionTime': '2026-07-07T16:06:39Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:test_llm_inference_service.py:1219 Timed out waiting: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'Ready', 'WorkloadsReady', 'RouterReady'}, got [{'lastTransitionTime': '2026-07-07T16:06:56Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-07T16:06:56Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-07T16:06:39Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-07T16:07:20Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-07T16:07:20Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-07T16:07:20Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-07T16:06:39Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'WorkerWorkloadReady'}, {'lastTransitionTime': '2026-07-07T16:06:39Z', '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] [2026-07-07T16:21:31.389944] end - ❌ 900.382s: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'Ready', 'WorkloadsReady', 'RouterReady'}, got [{'lastTransitionTime': '2026-07-07T16:06:56Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-07T16:06:56Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-07T16:06:39Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-07T16:07:20Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-07T16:07:20Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-07T16:07:20Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-07T16:06:39Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'WorkerWorkloadReady'}, {'lastTransitionTime': '2026-07-07T16:06:39Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] ERROR e2e.llmisvc.logging:test_llm_inference_service.py:831 [router-managed-workload-simulated-dp-ep-cpu-model-pvc] ❌ ERROR: Failed to call llm inference service llmisvc-model-pvc-router-manage-2577e794: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'Ready', 'WorkloadsReady', 'RouterReady'}, got [{'lastTransitionTime': '2026-07-07T16:06:56Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-07T16:06:56Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-07T16:06:39Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-07T16:07:20Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-07T16:07:20Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-07T16:07:20Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-07T16:06:39Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'WorkerWorkloadReady'}, {'lastTransitionTime': '2026-07-07T16:06:39Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1240 🔍 # Diagnostics for 'llmisvc-model-pvc-router-manage-2577e794' in 'kserve-ci-e2e-test' [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1241 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1242 # LLMInferenceService llmisvc-model-pvc-router-manage-2577e794 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1245 apiVersion: serving.kserve.io/v1alpha1 [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] security.opendatahub.io/enable-auth: 'false' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:06:30Z' [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: '2026-07-07T16:06:30Z' [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: '2026-07-07T16:06:31Z' [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:status: [e2e-llm-inference-service] f:addresses: {} [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-decode-template: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-decode-worker-data-parallel: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-prefill-template: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-prefill-worker-data-parallel: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-router-route: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-scheduler: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-template: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-tracing: {} [e2e-llm-inference-service] f:serving.kserve.io/config-llm-worker-data-parallel: {} [e2e-llm-inference-service] f:appliedConfigs: {} [e2e-llm-inference-service] f:conditions: {} [e2e-llm-inference-service] f:observedGeneration: {} [e2e-llm-inference-service] f:router: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:gateways: {} [e2e-llm-inference-service] f:scheduler: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:inferencePool: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:group: {} [e2e-llm-inference-service] f:kind: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:service: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:group: {} [e2e-llm-inference-service] f:kind: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:url: {} [e2e-llm-inference-service] f:workloads: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:primary: {} [e2e-llm-inference-service] f:scheduler: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] subresource: status [e2e-llm-inference-service] time: '2026-07-07T16:07:20Z' [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794 [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] resourceVersion: '75387' [e2e-llm-inference-service] uid: adc3a69e-bccc-429d-b122-d639198ac6ab [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://abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com/ [e2e-llm-inference-service] - name: gateway-external [e2e-llm-inference-service] url: http://abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com/kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-2577e794 [e2e-llm-inference-service] - name: gateway-internal-model-routing [e2e-llm-inference-service] url: http://openshift-ai-inference-openshift-default.openshift-ingress.svc.cluster.local/ [e2e-llm-inference-service] - name: gateway-internal [e2e-llm-inference-service] url: http://openshift-ai-inference-openshift-default.openshift-ingress.svc.cluster.local/kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-2577e794 [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] serving.kserve.io/config-llm-decode-template: kserve-config-llm-decode-template [e2e-llm-inference-service] serving.kserve.io/config-llm-decode-worker-data-parallel: kserve-config-llm-decode-worker-data-parallel [e2e-llm-inference-service] serving.kserve.io/config-llm-prefill-template: kserve-config-llm-prefill-template [e2e-llm-inference-service] serving.kserve.io/config-llm-prefill-worker-data-parallel: kserve-config-llm-prefill-worker-data-parallel [e2e-llm-inference-service] serving.kserve.io/config-llm-router-route: kserve-config-llm-router-route [e2e-llm-inference-service] serving.kserve.io/config-llm-scheduler: kserve-config-llm-scheduler [e2e-llm-inference-service] serving.kserve.io/config-llm-template: kserve-config-llm-template [e2e-llm-inference-service] serving.kserve.io/config-llm-tracing: kserve-config-llm-tracing [e2e-llm-inference-service] serving.kserve.io/config-llm-worker-data-parallel: kserve-config-llm-worker-data-parallel [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T16:06:56Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: HTTPRoutesReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T16:06:56Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: InferencePoolReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T16:06:39Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: PresetsCombined [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T16:07:20Z' [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: '2026-07-07T16:07:20Z' [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: RouterReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T16:07:20Z' [e2e-llm-inference-service] severity: Info [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: SchedulerWorkloadReady [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T16:06:39Z' [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: '2026-07-07T16:06:39Z' [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://abae3ac5d4dff4d03a90166bfddf9161-1740290519.us-east-1.elb.amazonaws.com/kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-2577e794 [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:44 TIME NAMESPACE SOURCE TYPE REASON MESSAGE [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:45 -------------------------------------------------------------------------------------------------- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-disabled-test-kserve-c58f655c7-9qnmk to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.36/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:28 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:28 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:32 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:32 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:32 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:18:27 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.36:8000/health": dial tcp 10.134.0.36:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-disabled-test-kserve-c58f655c7-9qnmk [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-disabled-test-kserve-router-scheduler-65b4fbcbbd-p87dh to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:28 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.36/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:28 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:28 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:28 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:29 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:29 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:29 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-disabled-test-kserve-router-scheduler-65b4fbcbbd-p87dh [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-disabled-test-kserve-router-scheduler-65b4fbcbbd from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-disabled-test-kserve-c58f655c7 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:20 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy auth-disabled-test-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/auth-disabled-test-kserve-route: HTTPRoute.gateway.networking.k8s.io "auth-disabled-test-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/auth-disabled-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-disabled-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-disabled-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/auth-disabled-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-disabled-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/auth-disabled-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/auth-disabled-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-disabled-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-disabled-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/auth-disabled-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:44 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/auth-disabled-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:44 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/auth-disabled-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:18:38 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [auth-disabled-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-enabled-test-kserve-6545cfc5c9-w82j8 to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.34/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulling Pulling image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:23 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Successfully pulled image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" in 3.609s (3.609s including waiting). Image size: 301881278 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:23 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:23 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:28 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulling Pulling image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:14 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Successfully pulled image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" in 45.616s (45.616s including waiting). Image size: 3531177328 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:14 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:14 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:59 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.34:8000/health": dial tcp 10.134.0.34:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:14 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-enabled-test-kserve-6545cfc5c9-w82j8 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-enabled-test-kserve-router-scheduler-79bc59d7f5-4xdsg to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.42/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:21 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:22 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" in 1.265s (1.265s including waiting). Image size: 75073927 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:22 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:22 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:14 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:14 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-enabled-test-kserve-router-scheduler-79bc59d7f5-4xdsg [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-enabled-test-kserve-router-scheduler-79bc59d7f5 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-enabled-test-kserve-6545cfc5c9 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/auth-enabled-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-enabled-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-enabled-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/auth-enabled-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-enabled-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/auth-enabled-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/auth-enabled-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-enabled-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-enabled-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/auth-enabled-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:42 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/auth-enabled-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/auth-enabled-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:09 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [auth-enabled-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:14 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-enabled-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-invalid-token-test-kserve-686cc8ccdc-k45d6 to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.35/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:55 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:55 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:55 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:41 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.35:8000/health": dial tcp 10.134.0.35:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:52 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:08 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Readiness probe failed: Get "https://10.134.0.35:8000/health": dial tcp 10.134.0.35:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:50 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-invalid-token-test-kserve-686cc8ccdc-k45d6 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: auth-invalid-token-test-kserve-router-scheduler-55fc95f97crkwl9 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/auth-invalid-token-test-kserve-router-scheduler-55fc95f97crkwl9 to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.33/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:53 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:53 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:53 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:52 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:52 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-invalid-token-test-kserve-router-scheduler-55fc95f97c from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:50 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set auth-invalid-token-test-kserve-686cc8ccdc from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/auth-invalid-token-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-invalid-token-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-invalid-token-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/auth-invalid-token-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-invalid-token-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/auth-invalid-token-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/auth-invalid-token-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/auth-invalid-token-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/auth-invalid-token-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/auth-invalid-token-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/auth-invalid-token-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/auth-invalid-token-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:51 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [auth-invalid-token-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:52 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test-auth-invalid-token-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-84686ccc5b-jlf6l to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:20 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.47/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:20 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-disagg-sidecar:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:20 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:20 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:20 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:20 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:20 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:25 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:25 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:25 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:05:20 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.47:8001/health": dial tcp 10.134.0.47:8001: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:19 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: custom-route-timeout-pd-test-kserve-84686ccc5b-jlf6l [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-prefill-7c7977969-w26n9 to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:20 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.48/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:20 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:20 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:20 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:25 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:25 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:25 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:05:20 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.48:8000/health": dial tcp 10.134.0.48:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:19 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: custom-route-timeout-pd-test-kserve-prefill-7c7977969-w26n9 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:19 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set custom-route-timeout-pd-test-kserve-prefill-7c7977969 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-router-scheduler-859d8b5s4w to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:20 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.42/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:20 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:20 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:20 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:21 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:22 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:22 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:20 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: custom-route-timeout-pd-test-kserve-router-scheduler-859d8b5s4w [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:20 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set custom-route-timeout-pd-test-kserve-router-scheduler-859d8f7469 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:19 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set custom-route-timeout-pd-test-kserve-84686ccc5b from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:14 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy custom-route-timeout-pd-test-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-route: HTTPRoute.gateway.networking.k8s.io "custom-route-timeout-pd-test-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-prefill [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/custom-route-timeout-pd-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-custom-route-timeout-pd-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:54 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:53 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:53 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/custom-route-timeout-pd-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:05:30 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [custom-route-timeout-pd-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/custom-route-timeout-test-kserve-864979d845-rg778 to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:16 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.39/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:16 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:16 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:16 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:20 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:20 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:20 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:16 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.39:8000/health": dial tcp 10.134.0.39:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: custom-route-timeout-test-kserve-864979d845-rg778 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: custom-route-timeout-test-kserve-router-scheduler-778d465brn76d [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/custom-route-timeout-test-kserve-router-scheduler-778d465brn76d to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:16 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.39/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:16 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:16 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:16 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:17 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:17 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:17 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set custom-route-timeout-test-kserve-router-scheduler-778d465b5b from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set custom-route-timeout-test-kserve-864979d845 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy custom-route-timeout-test-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/custom-route-timeout-test-kserve-route: HTTPRoute.gateway.networking.k8s.io "custom-route-timeout-test-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/custom-route-timeout-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/custom-route-timeout-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/custom-route-timeout-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/custom-route-timeout-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-custom-route-timeout-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/custom-route-timeout-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/custom-route-timeout-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/custom-route-timeout-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/custom-route-timeout-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/custom-route-timeout-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:27 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/custom-route-timeout-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/custom-route-timeout-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:42 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [custom-route-timeout-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/e2e-pvc-model-download-5sdmq to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:05 kserve-ci-e2e-test attachdetach-controller Normal SuccessfulAttachVolume AttachVolume.Attach succeeded for volume "pvc-9e6cb39c-3e3b-4f07-9d31-2bdf792019f4" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:13 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.50/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:13 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:13 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:13 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:00 kserve-ci-e2e-test job-controller Normal SuccessfulCreate Created pod: e2e-pvc-model-download-5sdmq [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:23 kserve-ci-e2e-test job-controller Normal Completed Job completed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:00 kserve-ci-e2e-test persistentvolume-controller Normal WaitForFirstConsumer waiting for first consumer to be created before binding [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:00 kserve-ci-e2e-test persistentvolume-controller Normal ExternalProvisioning Waiting for a volume to be created either by the external provisioner 'ebs.csi.aws.com' or manually by the system administrator. If volume creation is delayed, please verify that the provisioner is running and correctly registered. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:00 kserve-ci-e2e-test ebs.csi.aws.com_aws-ebs-csi-driver-controller-798444b96c-qvwgb_b1986764-8034-4255-becd-46555cc5e803 Normal Provisioning External provisioner is provisioning volume for claim "kserve-ci-e2e-test/e2e-pvc-model-storage" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:02 kserve-ci-e2e-test ebs.csi.aws.com_aws-ebs-csi-driver-controller-798444b96c-qvwgb_b1986764-8034-4255-becd-46555cc5e803 Normal ProvisioningSucceeded Successfully provisioned volume pvc-9e6cb39c-3e3b-4f07-9d31-2bdf792019f4 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:50 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: gw-section-name-router-with-gat-2f0a622e-kserve-7c9c8cffc5mvc8s [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve-7c9c8cffc5mvc8s to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:51 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.33/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:51 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:52 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" in 1.225s (1.225s including waiting). Image size: 98346788 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:52 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:52 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:58 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:50 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set gw-section-name-router-with-gat-2f0a622e-kserve-7c9c8cffc5 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/gw-sec0c69dceeb48768325d1a53a749e65786-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:50 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.HTTPRoute kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:51 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.DestinationRule kserve-ci-e2e-test/gw-section-name-router-with-gat-2f0a622e-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:01 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: gw-section-name-router-with-gat-f1d92d0f-kserve-7bc8dd6c5btwgmp [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve-7bc8dd6c5btwgmp to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:02 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.41/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:02 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:02 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:02 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:19 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Warning FailedMount MountVolume.SetUp failed for volume "tls-certs" : secret "gw-sec2774c263d49959f50d9eebc552e13bf9-kserve-self-signed-certs" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:06 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:01 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set gw-section-name-router-with-gat-f1d92d0f-kserve-7bc8dd6c5b from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/gw-sec2774c263d49959f50d9eebc552e13bf9-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.HTTPRoute kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.DestinationRule kserve-ci-e2e-test/gw-section-name-router-with-gat-f1d92d0f-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve-d457bd6f9-68ctc to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:01 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.43/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:01 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-router-disagg-sidecar:v0.9.0-rc.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:03 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-router-disagg-sidecar:v0.9.0-rc.2" in 1.681s (1.681s including waiting). Image size: 44914394 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:03 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:03 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:04 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:04 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:04 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:09 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:09 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:09 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:57:51 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.43:8001/health": dial tcp 10.134.0.43:8001: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:21 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Killing Stopping container llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:21 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:01 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-route-50bc673d-kserve-d457bd6f9-68ctc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:01 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-route-50bc673d-kserve-prefill-8fn4wcp [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve-prefill-8fn4wcp to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:01 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.44/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:01 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:01 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:01 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:06 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:06 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:06 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:57:41 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.44:8000/health": dial tcp 10.134.0.44:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:21 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:01 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-route-50bc673d-kserve-prefill-8fd99dc5b from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:01 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-route-50bc673d-kserve-d457bd6f9 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:54:59 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-fb-opt-125m-route-50bc673d-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-fb-opt-125m-route-50bc673d-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv44d181485fad85e662eb092f3749502f-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve-prefill [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:01 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test00d7278d8a22c4e39146a6b0eb840f45-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:16 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv44d181485fad85e662eb092f3749502f-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:16 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-50bc673d-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:58:02 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-fb-opt-125m-route-50bc673d] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:21 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test00d7278d8a22c4e39146a6b0eb840f45-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-route-87882a8e-kserve-656d69b45fmlsj7 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve-656d69b45fmlsj7 to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.38/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:36 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:36 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:36 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:23:29 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.38:8000/health": dial tcp 10.134.0.38:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:31:49 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:32:06 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Readiness probe failed: Get "https://10.134.0.38:8000/health": context deadline exceeded [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-route-87882a8e-kserve-656d69b45f from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-fb-opt-125m-route-87882a8e-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-fb-opt-125m-route-87882a8e-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisva690bbc929faec8bc98c767f16c003c1-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test21fe6730fe484f3a92b1a16afe1bac8f-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvca690bbc929faec8bc98c767f16c003c1-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:46 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisva690bbc929faec8bc98c767f16c003c1-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:46 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-87882a8e-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:23:40 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-fb-opt-125m-route-87882a8e] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:31:49 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test21fe6730fe484f3a92b1a16afe1bac8f-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:45 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-66874c76d42rwrf [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-66874c76d42rwrf to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:46 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.37/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:46 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:46 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:46 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:06 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:45 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-66874c76d4 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:44 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv122f03714c5bdf915a2917fdf1262b98-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:45 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-route-e95b1dc1-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:20:04 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv122f03714c5bdf915a2917fdf1262b98-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:20:05 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-fb-opt-125m-route-e95b1dc1] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-855b7d474b-8hjhw to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.37/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:43 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:43 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:43 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:18:58 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.37:8000/health": dial tcp 10.134.0.37:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-855b7d474b-8hjhw [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-router-sche2449j to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.47/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:39 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:39 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:40 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:40 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:40 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-with-7ca60146-kserve-router-sche2449j [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-with-7ca60146-kserve-router-scheduler-76cdc676b7 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-with-7ca60146-kserve-855b7d474b from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:34 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-fb-opt-125m-with-7ca60146-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-fb-opt-125m-with-7ca60146-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv3e414c2ba058a022dfd694dbcbac5b51-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test5216bfd716f919dc046bc693ceb22e41-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:57 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv3e414c2ba058a022dfd694dbcbac5b51-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:58 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-7ca60146-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:19:08 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-fb-opt-125m-with-7ca60146] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-d68d9bcc7-gghpz to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:22 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.40/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:22 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:22 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:22 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:27 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:27 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:27 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:35:41 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.40:8000/health": dial tcp 10.134.0.40:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:21 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-d68d9bcc7-gghpz [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-router-sche4jhsb to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:22 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.40/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:22 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:22 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:22 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:24 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:24 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:24 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:22 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-router-sche4jhsb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:22 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-router-scheduler-6f5c957798 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:21 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-d68d9bcc7 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:21 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:21 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv77ff2528d3e9b4972cd9335229fce9f0-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:21 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:21 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:21 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:21 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test05addb65ba05195619f26ef266e8fc04-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:21 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:22 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv77ff2528d3e9b4972cd9335229fce9f0-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:34:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-fb-opt-125m-with-ba4d693a-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:35:52 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-fb-opt-125m-with-ba4d693a] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0-1 to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:39 kserve-ci-e2e-test attachdetach-controller Warning FailedAttachVolume Multi-Attach error for volume "pvc-9e6cb39c-3e3b-4f07-9d31-2bdf792019f4" Volume is already used by pod(s) llmisvc1dc4269d1ada5f2d28562215d180c57f-kserve-router-schef84w4 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0 to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:36 kserve-ci-e2e-test statefulset-controller Normal SuccessfulCreate create Pod llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0-1 in StatefulSet llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0 successful [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:39 kserve-ci-e2e-test attachdetach-controller Warning FailedAttachVolume Multi-Attach error for volume "pvc-9e6cb39c-3e3b-4f07-9d31-2bdf792019f4" Volume is already used by pod(s) llmisvc1dc4269d1ada5f2d28562215d180c57f-kserve-router-schef84w4 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:36 kserve-ci-e2e-test leaderworkerset Normal CreatingRevision Creating revision with key 686d468674 for a newly created LeaderWorkerSet [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:36 kserve-ci-e2e-test leaderworkerset Normal GroupsProgressing Created leader statefulset llmisvc-model-pvc-router-manage-2577e794-kserve-mn [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:36 kserve-ci-e2e-test leaderworkerset Normal GroupsProgressing Replicas are progressing, with 0 groups ready of total 1 groups [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:36 kserve-ci-e2e-test statefulset-controller Normal SuccessfulCreate create Pod llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0 in StatefulSet llmisvc-model-pvc-router-manage-2577e794-kserve-mn successful [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:36 kserve-ci-e2e-test leaderworkerset Normal GroupsProgressing Created worker statefulset for leader pod llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:36 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-pvc-router-manage-2577e794-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-2577e794-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-pvc-router-manage-2577e794-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:35 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv1dc4269d1ada5f2d28562215d180c57f-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:35 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-2577e794-kserve-mn-scc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:35 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-2577e794-kserve-mn [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.LeaderWorkerSet kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-2577e794-kserve-mn [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-2577e794-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-2577e794-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test37591b20e96e9663d45a730d03070f1e-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-2577e794-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:36 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-2577e794-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:55 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-2577e794-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:16:42 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv1dc4269d1ada5f2d28562215d180c57f-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:55 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-2577e794-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:38 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-pvc-router-manage-59b9d263-kserve-585587bc9drrlvp [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-59b9d263-kserve-585587bc9drrlvp to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:40 kserve-ci-e2e-test attachdetach-controller Normal SuccessfulAttachVolume AttachVolume.Attach succeeded for volume "pvc-9e6cb39c-3e3b-4f07-9d31-2bdf792019f4" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:43 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.42/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:43 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:43 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:43 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:53:42 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.42:8000/health": dial tcp 10.134.0.42:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:15 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:30 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Readiness probe failed: Get "https://10.134.0.42:8000/health": dial tcp 10.134.0.42:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:38 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-pvc-router-manage-59b9d263-kserve-585587bc9d from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:36 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-pvc-router-manage-59b9d263-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-59b9d263-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-pvc-router-manage-59b9d263-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv8bf079eb6eda4debfb4ef5bb7817824c-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-59b9d263-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-59b9d263-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-59b9d263-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-testc9569cf4801efc0ed27b2f25ffaee875-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-59b9d263-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-59b9d263-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc8bf079eb6eda4debfb4ef5bb7817824c-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-59b9d263-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:52:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-59b9d263-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:52:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv8bf079eb6eda4debfb4ef5bb7817824c-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:52:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-59b9d263-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:53:53 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-pvc-router-manage-59b9d263] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-testc9569cf4801efc0ed27b2f25ffaee875-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-kserve-7db79954c-l84cj to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:50 kserve-ci-e2e-test attachdetach-controller Normal SuccessfulAttachVolume AttachVolume.Attach succeeded for volume "pvc-9e6cb39c-3e3b-4f07-9d31-2bdf792019f4" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:54 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.45/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:54 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-disagg-sidecar:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:55 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:55 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:55 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:55 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:55 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:04:54 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.45:8001/health": dial tcp 10.134.0.45:8001: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:10 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Killing Stopping container llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:10 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:48 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-pvc-router-manage-e8706282-kserve-7db79954c-l84cj [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:48 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-pvc-router-manage-e8706282-kserve-prefill-79ppvwz [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-kserve-prefill-79ppvwz to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:50 kserve-ci-e2e-test attachdetach-controller Normal SuccessfulAttachVolume AttachVolume.Attach succeeded for volume "pvc-9e6cb39c-3e3b-4f07-9d31-2bdf792019f4" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:54 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.46/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:54 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:55 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:55 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:04:54 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.46:8000/health": dial tcp 10.134.0.46:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:10 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:48 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-pvc-router-manage-e8706282-kserve-prefill-79497db4cc from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:48 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-pvc-router-manage-e8706282-kserve-7db79954c from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:46 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-pvc-router-manage-e8706282-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-pvc-router-manage-e8706282-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisvb19f98874e050eec8ca94d49676113f0-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-kserve-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-kserve-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-kserve-prefill [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-testf5d060a5eb39a04e074b78907a1556a6-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:42 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisvb19f98874e050eec8ca94d49676113f0-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:01:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-pvc-router-manage-e8706282-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:05:05 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-pvc-router-manage-e8706282] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:10 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-testf5d060a5eb39a04e074b78907a1556a6-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve-5c54ddb98fcrnjb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve-5c54ddb98fcrnjb to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.35/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:49 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve-5c54ddb98f from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv08544b88a8d963ffd553cc1f3ed82d16-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test76d7f532acb694e4a7bcef75d32cd8a1-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc08544b88a8d963ffd553cc1f3ed82d16-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:12 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv08544b88a8d963ffd553cc1f3ed82d16-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:13 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-4f8c0978-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:47 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-qwen2-5-0-5b-rout-4f8c0978] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:48 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test76d7f532acb694e4a7bcef75d32cd8a1-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve-5d8ffd58ddvv5px [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve-5d8ffd58ddvv5px to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.43/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:05 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve-5d8ffd58dd from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisvb11a9c9832b99b016bc8f8e0ea095712-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-testb7025ca4d8a6f8f5b2fd08b5581d2678-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvcb11a9c9832b99b016bc8f8e0ea095712-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:31 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:31 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisvb11a9c9832b99b016bc8f8e0ea095712-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:31 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-model-qwen2-5-0-5b-rout-a50492e9-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:03 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-model-qwen2-5-0-5b-rout-a50492e9] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:05 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-testb7025ca4d8a6f8f5b2fd08b5581d2678-llmisvc-mode [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-bd545d56-nmndd to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.45/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:08 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-router-managed-test-llm-4b931143-kserve-bd545d56-nmndd [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-router-managed-test-llm-4b931143-kserve-bd545d56 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-router-managed-test-llm-4b931143-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-router-managed-test-llm-4b931143-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisvca2d2d7d499abb359505529ebe02c136-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test8ac8e3d2264ccb939eb021b0b835847c-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:18 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisvca2d2d7d499abb359505529ebe02c136-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:18 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-4b931143-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:39 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-router-managed-test-llm-4b931143] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:08 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test8ac8e3d2264ccb939eb021b0b835847c-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-router-managed-test-llm-5b1e8f15-kserve-64df7bddb4nzblz [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-64df7bddb4nzblz to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:29 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.31/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:29 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:29 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:29 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:25 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-router-managed-test-llm-5b1e8f15-kserve-64df7bddb4 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:23 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-router-managed-test-llm-5b1e8f15-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-router-managed-test-llm-5b1e8f15-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisve55ae740357a3a31a27cdb8b66ffe20f-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test7f54e84970003a6e7372bdbcb574f7ed-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:39 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisve55ae740357a3a31a27cdb8b66ffe20f-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:38 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-5b1e8f15-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:01 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-router-managed-test-llm-5b1e8f15] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:24 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test7f54e84970003a6e7372bdbcb574f7ed-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc-router-managed-test-llm-e45d1f79-kserve-7fdbbd4879d6nsg [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-7fdbbd4879d6nsg to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.29/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:52 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc-router-managed-test-llm-e45d1f79-kserve-7fdbbd4879 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy llmisvc-router-managed-test-llm-e45d1f79-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-route: HTTPRoute.gateway.networking.k8s.io "llmisvc-router-managed-test-llm-e45d1f79-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/llmisv5c7e67b6c51568d1d6d13829a9337f2a-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-testef4d2875be14b30dc1561ed84d0d4bde-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/llmisvc5c7e67b6c51568d1d6d13829a9337f2a-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/llmisv5c7e67b6c51568d1d6d13829a9337f2a-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/llmisvc-router-managed-test-llm-e45d1f79-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:52 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [llmisvc-router-managed-test-llm-e45d1f79] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:52 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-testef4d2875be14b30dc1561ed84d0d4bde-llmisvc-rout [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc08544b88a8d963ffd553cc1f3ed82d16-kserve-router-schez7qcx [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc08544b88a8d963ffd553cc1f3ed82d16-kserve-router-scheduler-6fcb489785 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc08544b88a8d963ffd553cc1f3ed82d16-kserve-router-schez7qcx to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.46/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:02 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:03 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:03 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:49 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:16:49 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:36 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc1dc4269d1ada5f2d28562215d180c57f-kserve-router-schef84w4 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:36 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc1dc4269d1ada5f2d28562215d180c57f-kserve-router-scheduler-7dbcb75dbc from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc1dc4269d1ada5f2d28562215d180c57f-kserve-router-schef84w4 to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:36 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.53/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:36 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:36 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:36 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:39 kserve-ci-e2e-test attachdetach-controller Normal SuccessfulAttachVolume AttachVolume.Attach succeeded for volume "pvc-9e6cb39c-3e3b-4f07-9d31-2bdf792019f4" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:01 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc44d181485fad85e662eb092f3749502f-kserve-router-scheqx7m7 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:01 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc44d181485fad85e662eb092f3749502f-kserve-router-scheduler-5f4ffd49d7 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc44d181485fad85e662eb092f3749502f-kserve-router-scheqx7m7 to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:02 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.51/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:02 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:02 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:02 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:03 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:03 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:55:03 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:21 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:21 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc5c7e67b6c51568d1d6d13829a9337f2a-kserve-router-schejbsn9 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc5c7e67b6c51568d1d6d13829a9337f2a-kserve-router-scheduler-5dd88bfbb7 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc5c7e67b6c51568d1d6d13829a9337f2a-kserve-router-schejbsn9 to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.30/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:19 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:20 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:20 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:52 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:11:52 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:38 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvc8bf079eb6eda4debfb4ef5bb7817824c-kserve-router-schenwk6h [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:38 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvc8bf079eb6eda4debfb4ef5bb7817824c-kserve-router-scheduler-5f555d4d85 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvc8bf079eb6eda4debfb4ef5bb7817824c-kserve-router-schenwk6h to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:39 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.41/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:39 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:39 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:39 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:51:40 kserve-ci-e2e-test attachdetach-controller Warning FailedAttachVolume Multi-Attach error for volume "pvc-9e6cb39c-3e3b-4f07-9d31-2bdf792019f4" Volume is already used by pod(s) llmisvc-model-pvc-router-manage-59b9d263-kserve-585587bc9drrlvp [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:15 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:15 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvca690bbc929faec8bc98c767f16c003c1-kserve-router-sche4mmnh to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:30 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.38/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:30 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:30 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:30 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:31 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:31 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:31 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:31:49 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:31:49 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvca690bbc929faec8bc98c767f16c003c1-kserve-router-sche4mmnh [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:21:29 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvca690bbc929faec8bc98c767f16c003c1-kserve-router-scheduler-6d6ccfd7bf from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvcb11a9c9832b99b016bc8f8e0ea095712-kserve-router-schefwv9g [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:24 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvcb11a9c9832b99b016bc8f8e0ea095712-kserve-router-scheduler-6d86bd4d9d from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvcb11a9c9832b99b016bc8f8e0ea095712-kserve-router-schefwv9g to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:25 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.44/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:25 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:25 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:13:25 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:05 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:05 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:48 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvcb19f98874e050eec8ca94d49676113f0-kserve-router-schesx94d [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:48 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvcb19f98874e050eec8ca94d49676113f0-kserve-router-scheduler-67b4bb9646 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvcb19f98874e050eec8ca94d49676113f0-kserve-router-schesx94d to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:49 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.52/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:49 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:49 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:49 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:00:50 kserve-ci-e2e-test attachdetach-controller Warning FailedAttachVolume Multi-Attach error for volume "pvc-9e6cb39c-3e3b-4f07-9d31-2bdf792019f4" Volume is already used by pod(s) llmisvc-model-pvc-router-manage-e8706282-kserve-7db79954c-l84cj, llmisvc-model-pvc-router-manage-e8706282-kserve-prefill-79ppvwz [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:10 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:06:10 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-schepv8bq [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-scheduler-68cc9685d6 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvcca2d2d7d499abb359505529ebe02c136-kserve-router-schepv8bq to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:06 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.34/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:07 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:07 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:15:07 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:08 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:17:09 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-schegq6m5 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:28 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-scheduler-749449dbc8 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/llmisvce55ae740357a3a31a27cdb8b66ffe20f-kserve-router-schegq6m5 to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:29 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.32/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:29 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:29 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:12:29 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:25 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:14:25 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/precise-prefix-cache-test-kserve-7cccfc8969-5jsv7 to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.40/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:45 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:47 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" in 1.17s (1.17s including waiting). Image size: 98346788 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:47 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:47 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:53 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/precise-prefix-cache-test-kserve-7cccfc8969-hgnwf to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.27/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulling Pulling image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:45 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Successfully pulled image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" in 3.856s (3.856s including waiting). Image size: 301881278 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:45 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:45 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:50 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:52 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-inference-sim:v0.8.2" in 1.366s (1.366s including waiting). Image size: 98346788 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:52 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:52 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:53 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: precise-prefix-cache-test-kserve-7cccfc8969-5jsv7 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: precise-prefix-cache-test-kserve-7cccfc8969-hgnwf [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: precise-prefix-cache-test-kserve-router-scheduler-574f7b5bkxs85 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/precise-prefix-cache-test-kserve-router-scheduler-574f7b5bkxs85 to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:42 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.28/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:42 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulling Pulling image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:45 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Successfully pulled image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" in 3.25s (3.25s including waiting). Image size: 301881278 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:45 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:45 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:46 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:48 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" in 1.812s (1.812s including waiting). Image size: 75073927 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:21 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:21 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:48 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-uds-tokenizer:vllm-v0.19.1" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:20 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-uds-tokenizer:vllm-v0.19.1" in 31.967s (31.967s including waiting). Image size: 2989890188 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:20 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: tokenizer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:20 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container tokenizer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:21 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:43 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Warning Unhealthy Liveness probe failed: timeout: failed to connect service "10.133.0.28:9003" within 1s: context deadline exceeded [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:53 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container tokenizer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:53 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:53 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set precise-prefix-cache-test-kserve-router-scheduler-574f7b5bf from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set precise-prefix-cache-test-kserve-7cccfc8969 from 0 to 2 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:37 kserve-ci-e2e-test OpenDataHubModelController Warning ReconcileError Failed to reconcile LLMInferenceService: 1 error occurred: * failed to get HTTPRoute for AuthPolicy precise-prefix-cache-test-kserve-route-authn: failed to get HTTPRoute kserve-ci-e2e-test/precise-prefix-cache-test-kserve-route: HTTPRoute.gateway.networking.k8s.io "precise-prefix-cache-test-kserve-route" not found [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:40 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/precise-prefix-cache-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/precise-prefix-cache-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/precise-prefix-cache-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/precise-prefix-cache-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-precise-prefix-cache-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/precise-prefix-cache-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/precise-prefix-cache-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/precise-prefix-cache-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:41 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/precise-prefix-cache-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:56 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/precise-prefix-cache-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:55 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/precise-prefix-cache-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:56 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.HTTPRoute kserve-ci-e2e-test/precise-prefix-cache-test-kserve-route [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:52 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [precise-prefix-cache-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:10:53 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test-precise-prefix-cache-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-1-openshift-default-857cf9f944-p7rxk to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:32 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.32/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:20:19 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:20:19 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:20:19 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:20:05 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning BackOff Back-off restarting failed container istio-proxy in pod router-gateway-1-openshift-default-857cf9f944-p7rxk_kserve-ci-e2e-test(70147199-b9b1-413d-838d-76f6d8f9b3e2) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:20:25 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "http://10.134.0.32:15021/healthz/ready": dial tcp 10.134.0.32:15021: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:32 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-1-openshift-default-857cf9f944-p7rxk [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:32 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-gateway-1-openshift-default-857cf9f944 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:32 kserve-ci-e2e-test service-controller Normal EnsuringLoadBalancer Ensuring load balancer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:09:35 kserve-ci-e2e-test service-controller Normal EnsuredLoadBalancer Ensured load balancer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:49:49 kserve-ci-e2e-test gateway_labeler_controller Normal AddedLabel Added label istio.io/rev=openshift-gateway to gateway router-gateway-1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-gateway-2-openshift-default-6f899b565b-g5bn2 to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:20:39 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.54/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:20:39 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulling Pulling image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:20:42 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Successfully pulled image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" in 2.771s (2.771s including waiting). Image size: 181251556 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:20:53 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:20:53 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container istio-proxy [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:20:53 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "registry.redhat.io/openshift-service-mesh/istio-proxyv2-rhel9@sha256:7d15cebf9b62f3f235c0eab5158ac8ff2fda86a1d193490dc94c301402c99da8" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:20:59 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Warning Unhealthy Startup probe failed: Get "http://10.132.0.54:15021/healthz/ready": dial tcp 10.132.0.54:15021: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:20:38 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-gateway-2-openshift-default-6f899b565b-g5bn2 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:20:38 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-gateway-2-openshift-default-6f899b565b from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:20:38 kserve-ci-e2e-test service-controller Normal EnsuringLoadBalancer Ensuring load balancer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:20:43 kserve-ci-e2e-test service-controller Normal EnsuredLoadBalancer Ensured load balancer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:20:38 kserve-ci-e2e-test gateway_labeler_controller Normal AddedLabel Added label istio.io/rev=openshift-gateway to gateway router-gateway-2 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-with-refs-pd-test-kserve-776456fbd4-5dsxh to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:21:06 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.55/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:21:06 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulling Pulling image "ghcr.io/llm-d/llm-d-router-disagg-sidecar:v0.9.0-rc.2" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:21:07 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Successfully pulled image "ghcr.io/llm-d/llm-d-router-disagg-sidecar:v0.9.0-rc.2" in 850ms (850ms including waiting). Image size: 44914394 bytes. [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:21:07 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:21:07 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container llm-d-routing-sidecar [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:21:07 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:21:07 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:21:07 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:21:12 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulling Pulling image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:21:05 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-with-refs-pd-test-kserve-776456fbd4-5dsxh [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-with-refs-pd-test-kserve-prefill-7f457c76d9-dcts2 to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:21:06 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.51/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:21:06 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:21:06 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:21:06 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:21:10 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:21:10 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:21:10 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:21:26 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.51:8000/health": dial tcp 10.134.0.51:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:21:05 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-with-refs-pd-test-kserve-prefill-7f457c76d9-dcts2 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:21:05 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-with-refs-pd-test-kserve-prefill-7f457c76d9 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:21:07 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-with-refs-pd-test-kserve-router-scheduler-565d9c9598wrx6 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-with-refs-pd-test-kserve-router-scheduler-565d9c9598wrx6 to ip-10-0-129-71.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:21:07 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.133.0.43/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:21:07 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:21:07 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:21:07 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:21:08 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:21:08 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:21:08 kserve-ci-e2e-test kubelet/ip-10-0-129-71.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:21:07 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-with-refs-pd-test-kserve-router-scheduler-565d9c9597 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:21:05 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-with-refs-pd-test-kserve-776456fbd4 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:21:04 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/router-with-refs-pd-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:21:04 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/router-with-refs-pd-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:21:05 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/router-with-refs-pd-test-kserve-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:21:05 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/router-with-refs-pd-test-kserve-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:21:05 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/router-with-refs-pd-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:21:05 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/router-with-refs-pd-test-kserve-prefill [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:21:05 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/router-with-refs-pd-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:21:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/router-with-refs-pd-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:21:06 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-router-with-refs-pd-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 16:21:09 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/router-with-refs-pd-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-with-refs-test-kserve-678d989c77-8p9xx to ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:07 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.134.0.41/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:07 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:07 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:07 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:12 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Pulled Container image "public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:12 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:12 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:52:07 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Startup probe failed: Get "https://10.134.0.41:8000/health": dial tcp 10.134.0.41:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:54:28 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:54:44 kserve-ci-e2e-test kubelet/ip-10-0-138-195.ec2.internal Warning Unhealthy Readiness probe failed: Get "https://10.134.0.41:8000/health": dial tcp 10.134.0.41:8000: connect: connection refused [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:07 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-with-refs-test-kserve-678d989c77-8p9xx [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 None kserve-ci-e2e-test Normal Scheduled Successfully assigned kserve-ci-e2e-test/router-with-refs-test-kserve-router-scheduler-858ff4d95b-8fqfk to ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:08 kserve-ci-e2e-test multus Normal AddedInterface Add eth0 [10.132.0.49/23] from ovn-kubernetes [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:08 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "quay.io/opendatahub/kserve-storage-initializer@sha256:09d6f486359107a6e5d5aadd7d4fa2ea151504e2bf98f31f8912a941eb631c4b" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:08 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:08 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container storage-initializer [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:09 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Pulled Container image "ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2" already present on machine [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:09 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Created Created container: main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:09 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Started Started container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:54:29 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Normal Killing Stopping container main [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:54:29 kserve-ci-e2e-test kubelet/ip-10-0-129-17.ec2.internal Warning FailedPreStopHook PreStopHook failed [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:07 kserve-ci-e2e-test replicaset-controller Normal SuccessfulCreate Created pod: router-with-refs-test-kserve-router-scheduler-858ff4d95b-8fqfk [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:07 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-with-refs-test-kserve-router-scheduler-858ff4d95b from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:07 kserve-ci-e2e-test deployment-controller Normal ScalingReplicaSet Scaled up replica set router-with-refs-test-kserve-678d989c77 from 0 to 1 [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Secret kserve-ci-e2e-test/router-with-refs-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/router-with-refs-test-kserve [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/router-with-refs-test-kserve-workload-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ServiceAccount kserve-ci-e2e-test/router-with-refs-test-epp-sa [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.ClusterRoleBinding /kserve-ci-e2e-test-router-with-refs-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Role kserve-ci-e2e-test/router-with-refs-test-epp-role [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.RoleBinding kserve-ci-e2e-test/router-with-refs-test-epp-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Deployment kserve-ci-e2e-test/router-with-refs-test-kserve-router-scheduler [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:07 kserve-ci-e2e-test LLMInferenceServiceController Normal Created Created v1.Service kserve-ci-e2e-test/router-with-refs-test-epp-service [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:08 kserve-ci-e2e-test LLMInferenceServiceController Normal Created (combined from similar events): Created v1.DestinationRule kserve-ci-e2e-test/router-with-refs-test-kserve-shadow-svc [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:50:15 kserve-ci-e2e-test LLMInferenceServiceController Normal Updated Updated v1.Secret kserve-ci-e2e-test/router-with-refs-test-kserve-self-signed-certs [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:52:19 kserve-ci-e2e-test LLMInferenceServiceController Normal LLMInferenceServiceReady LLMInferenceService [router-with-refs-test] is Ready [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:56 2026-07-07 15:54:28 kserve-ci-e2e-test LLMInferenceServiceController Normal Deleted Deleted v1.ClusterRoleBinding /kserve-ci-e2e-test-router-with-refs-test-epp-auth-rb [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:148 ### Pod llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0 (phase=Pending) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:188 #### container 'main' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:204 # -- logs (current): unavailable ((400) [e2e-llm-inference-service] Reason: Bad Request [e2e-llm-inference-service] HTTP response headers: HTTPHeaderDict({'Audit-Id': 'cd36a1d4-a641-42a2-aa5e-e9e4d48d30ff', 'Cache-Control': 'no-cache, private', 'Content-Type': 'application/json', 'Strict-Transport-Security': 'max-age=31536000; includeSubDomains; preload', 'Date': 'Tue, 07 Jul 2026 16:21:32 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:148 ### Pod llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0-1 (phase=Pending) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:188 #### container 'main' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:204 # -- logs (current): unavailable ((400) [e2e-llm-inference-service] Reason: Bad Request [e2e-llm-inference-service] HTTP response headers: HTTPHeaderDict({'Audit-Id': '464fa72a-d5f0-48a6-a19f-1d6daec077b2', 'Cache-Control': 'no-cache, private', 'Content-Type': 'application/json', 'Strict-Transport-Security': 'max-age=31536000; includeSubDomains; preload', 'Date': 'Tue, 07 Jul 2026 16:21:32 GMT', 'Content-Length': '238'}) [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-0-1\" 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:148 ### Pod llmisvc1dc4269d1ada5f2d28562215d180c57f-kserve-router-schef84w4 (phase=Running) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:188 #### container 'main' (restarts=0) [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:201 # -- logs (current) -- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:diagnostic.py:202 {"level":"info","ts":1783440396.8598077,"logger":"setup","caller":"runner/runner.go:196","msg":"GIE build","commit-sha":"181aa8358916e19b8844ccc752b2d6153d4b2ad6","build-ref":"v0.9.0-rc.2"} [e2e-llm-inference-service] Flag --model-server-metrics-scheme has been deprecated, This flag is deprecated. Configure via EndpointPickerConfig data layer plugin parameters instead. [e2e-llm-inference-service] {"level":"info","ts":1783440396.8603296,"logger":"setup","caller":"runner/runner.go:217","msg":"Flags processed","flags":{"cert-path":"/var/run/kserve/tls","config-file":"","config-text":"apiVersion: inference.networking.x-k8s.io/v1alpha1\nkind: EndpointPickerConfig\nplugins:\n- type: single-profile-handler\n- type: queue-scorer\n- type: prefix-cache-scorer\n- type: max-score-picker\nschedulingProfiles:\n- name: default\n plugins:\n - pluginRef: queue-scorer\n weight: 2\n - pluginRef: prefix-cache-scorer\n weight: 3\n - pluginRef: max-score-picker\n","disable-endpoint-subset-filter":false,"enable-cert-reload":true,"enable-grpc-stream-metrics":false,"enable-pprof":true,"endpoint-selector":"","endpoint-target-ports":{},"grpc-health-port":9003,"grpc-max-recv-msg-size":"","grpc-max-send-msg-size":"","grpc-port":9002,"ha-enable-leader-election":false,"health-checking":false,"metrics-endpoint-auth":true,"metrics-port":9090,"metrics-staleness-threshold":2000000000,"model-server-metrics-https-insecure-skip-verify":true,"model-server-metrics-path":"/metrics","model-server-metrics-port":0,"model-server-metrics-scheme":"https","pool-group":"inference.networking.k8s.io","pool-name":"llmisvc-model-pvc-router-manage-2577e794-inference-pool","pool-namespace":"kserve-ci-e2e-test","refresh-metrics-interval":50000000,"refresh-prometheus-metrics-interval":5000000000,"secure-serving":true,"tracing":true,"v":2,"zap-devel":{},"zap-encoder":{},"zap-log-level":{},"zap-stacktrace-level":{},"zap-time-encoding":{}}} [e2e-llm-inference-service] {"level":"info","ts":1783440396.8610353,"logger":"setup.trace","caller":"tracing/telemetry.go:123","msg":"init OTel trace exporter","type":"console"} [e2e-llm-inference-service] {"level":"info","ts":1783440396.8614676,"caller":"loader/configloader.go:89","msg":"DEPRECATION: apiVersion inference.networking.x-k8s.io/v1alpha1/EndpointPickerConfig is deprecated","replacement":"llm-d.ai/v1alpha1/EndpointPickerConfig"} [e2e-llm-inference-service] {"level":"info","ts":1783440396.8615026,"caller":"loader/configloader.go:121","msg":"Loaded raw configuration","config":"{Plugins: [{Type: single-profile-handler} {Type: queue-scorer} {Type: prefix-cache-scorer} {Type: max-score-picker}], SchedulingProfiles: [{Name: default, Plugins: [{PluginRef: queue-scorer, Weight: 2.00} {PluginRef: prefix-cache-scorer, Weight: 3.00} {PluginRef: max-score-picker}]}]}"} [e2e-llm-inference-service] {"level":"info","ts":1783440396.8615372,"logger":"setup","caller":"runner/runner.go:622","msg":"Data layer: ENABLED"} [e2e-llm-inference-service] {"level":"info","ts":1783440396.8617861,"logger":"setup","caller":"runner/runner.go:281","msg":"Raw config after phase one","config":{"apiVersion":"inference.networking.x-k8s.io/v1alpha1","dataLayer":null,"kind":"EndpointPickerConfig","plugins":[{"name":"single-profile-handler","parameters":null,"type":"single-profile-handler"},{"name":"queue-scorer","parameters":null,"type":"queue-scorer"},{"name":"prefix-cache-scorer","parameters":null,"type":"prefix-cache-scorer"},{"name":"max-score-picker","parameters":null,"type":"max-score-picker"}],"schedulingProfiles":[{"name":"default","plugins":[{"pluginRef":"queue-scorer","weight":2},{"pluginRef":"prefix-cache-scorer","weight":3},{"pluginRef":"max-score-picker","weight":null}]}]}} [e2e-llm-inference-service] {"level":"info","ts":1783440396.8815985,"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":1783440396.8817132,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"vllm","mapping":"Mapping{all specs enabled}"} [e2e-llm-inference-service] {"level":"info","ts":1783440396.8817482,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"sglang","mapping":"Mapping{disabled: [lora]}"} [e2e-llm-inference-service] {"level":"info","ts":1783440396.881785,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"trtllm-serve","mapping":"Mapping{disabled: [lora, cacheInfo]}"} [e2e-llm-inference-service] {"level":"info","ts":1783440396.8818448,"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":1783440396.8818648,"caller":"metrics/factories.go:230","msg":"Registered engine mapping","engine":"triton","mapping":"Mapping{disabled: [kv, lora, cacheInfo]}"} [e2e-llm-inference-service] {"level":"info","ts":1783440396.881911,"caller":"loader/configloader.go:154","msg":"Instantiated all plugins and applied system defaults. Effective raw configuration","config":"{Plugins: [{Name: single-profile-handler, Type: single-profile-handler} {Name: queue-scorer, Type: queue-scorer} {Name: prefix-cache-scorer, Type: prefix-cache-scorer} {Name: max-score-picker, Type: max-score-picker} {Name: fcfs-ordering-policy, Type: fcfs-ordering-policy} {Name: global-strict-fairness-policy, Type: global-strict-fairness-policy} {Name: static-usage-limit-policy, Type: static-usage-limit-policy} {Name: openai-parser, Type: openai-parser} {Name: anthropic-parser, Type: anthropic-parser} {Name: vllmhttp-parser, Type: vllmhttp-parser} {Name: utilization-detector, Type: utilization-detector} {Name: metrics-data-source, Type: metrics-data-source} {Name: core-metrics-extractor, Type: core-metrics-extractor}], SchedulingProfiles: [{Name: default, Plugins: [{PluginRef: queue-scorer, Weight: 2.00} {PluginRef: prefix-cache-scorer, Weight: 3.00} {PluginRef: max-score-picker}]}], DataLayer: {Sources: [{PluginRef: metrics-data-source, Extractors: [{PluginRef: core-metrics-extractor}]}], Discovery: }, FlowControl: {MaxBytes: unlimited, MaxRequests: unlimited, SaturationDetector: {PluginRef: utilization-detector}}, RequestHandler: {Parsers: [{PluginRef: openai-parser}, {PluginRef: anthropic-parser}, {PluginRef: vllmhttp-parser}]}}"} [e2e-llm-inference-service] {"level":"info","ts":1783440396.8819642,"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":1783440396.8820364,"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":1783440396.8820608,"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":1783440396.8820884,"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":1783440396.8822215,"caller":"runner/runner.go:685","msg":"loaded configuration from file/text successfully"} [e2e-llm-inference-service] {"level":"info","ts":1783440396.882233,"logger":"setup","caller":"runner/runner.go:308","msg":"EPP config after phase two","config":"{SchedulerConfig:{ProfileHandler: single-profile-handler/single-profile-handler, Profiles: map[default:{Filters: [], Scorers: [queue-scorer/queue-scorer: 2.000000, prefix-cache-scorer/prefix-cache-scorer: 3.000000], Picker: max-score-picker/max-score-picker}]} SaturationDetector:0xc0002e96c0 DataConfig:{Sources:[{Plugin:0xc0004bd320 Extractors:[0xc0002e9a80]}]} FlowControlConfig: ParserRegistry:0xc000786940}"} [e2e-llm-inference-service] {"level":"info","ts":1783440396.900892,"logger":"setup","caller":"runner/runner.go:352","msg":"Setting pprof handlers"} [e2e-llm-inference-service] {"level":"info","ts":1783440396.9009185,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/"} [e2e-llm-inference-service] {"level":"info","ts":1783440396.9009326,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/profile"} [e2e-llm-inference-service] {"level":"info","ts":1783440396.9009383,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/trace"} [e2e-llm-inference-service] {"level":"info","ts":1783440396.9009426,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/goroutine"} [e2e-llm-inference-service] {"level":"info","ts":1783440396.900947,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/allocs"} [e2e-llm-inference-service] {"level":"info","ts":1783440396.9009516,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/block"} [e2e-llm-inference-service] {"level":"info","ts":1783440396.900956,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/cmdline"} [e2e-llm-inference-service] {"level":"info","ts":1783440396.9009602,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/symbol"} [e2e-llm-inference-service] {"level":"info","ts":1783440396.9009655,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/heap"} [e2e-llm-inference-service] {"level":"info","ts":1783440396.9009697,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/threadcreate"} [e2e-llm-inference-service] {"level":"info","ts":1783440396.900974,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/pprof/mutex"} [e2e-llm-inference-service] {"level":"info","ts":1783440396.900981,"caller":"manager/internal.go:201","msg":"Registering metrics http server extra handler","path":"/debug/plugins/state"} [e2e-llm-inference-service] {"level":"info","ts":1783440396.900986,"logger":"setup","caller":"runner/runner.go:373","msg":"parsed config","scheduler-config":"{ProfileHandler: single-profile-handler/single-profile-handler, Profiles: map[default:{Filters: [], Scorers: [queue-scorer/queue-scorer: 2.000000, prefix-cache-scorer/prefix-cache-scorer: 3.000000], Picker: max-score-picker/max-score-picker}]}"} [e2e-llm-inference-service] {"level":"info","ts":1783440396.9010103,"logger":"setup","caller":"datalayer/runtime.go:99","msg":"Configuring datalayer runtime","numSources":1} [e2e-llm-inference-service] {"level":"info","ts":1783440396.9010181,"logger":"setup","caller":"datalayer/runtime.go:118","msg":"Processing source","source":"metrics-data-source","numExtractors":1} [e2e-llm-inference-service] {"level":"info","ts":1783440396.901032,"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":1783440396.9010456,"logger":"setup","caller":"datalayer/runtime.go:206","msg":"Datalayer runtime configured","pollers":1,"notifiers":0,"endpointSources":0} [e2e-llm-inference-service] {"level":"info","ts":1783440396.9010549,"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":1783440396.9011364,"logger":"setup","caller":"runner/runner.go:721","msg":"ExtProc server runner added to manager."} [e2e-llm-inference-service] {"level":"info","ts":1783440396.9011497,"logger":"setup","caller":"runner/runner.go:260","msg":"Controller manager starting"} [e2e-llm-inference-service] {"level":"info","ts":1783440396.901177,"logger":"controller-runtime.metrics","caller":"server/server.go:208","msg":"Starting metrics server"} [e2e-llm-inference-service] {"level":"info","ts":1783440396.9013612,"caller":"runnable/grpc.go:35","msg":"gRPC server starting","name":"health"} [e2e-llm-inference-service] {"level":"info","ts":1783440396.9014428,"caller":"runnable/grpc.go:43","msg":"gRPC server listening","name":"health","port":9003} [e2e-llm-inference-service] {"level":"info","ts":1783440396.9015362,"logger":"controller-runtime.metrics","caller":"server/server.go:247","msg":"Serving metrics server","bindAddress":":9090","secure":false} [e2e-llm-inference-service] {"level":"info","ts":1783440396.9016423,"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":1783440396.9016662,"caller":"controller/controller.go:370","msg":"Starting EventSource","controller":"inferenceobjective","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceObjective","source":"kind source: *v1alpha2.InferenceObjective"} [e2e-llm-inference-service] {"level":"info","ts":1783440396.9016933,"caller":"controller/controller.go:370","msg":"Starting EventSource","controller":"inferencemodelrewrite","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceModelRewrite","source":"kind source: *v1alpha2.InferenceModelRewrite"} [e2e-llm-inference-service] {"level":"info","ts":1783440396.9016974,"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":1783440396.9024537,"caller":"runnable/grpc.go:35","msg":"gRPC server starting","name":"ext-proc"} [e2e-llm-inference-service] {"level":"info","ts":1783440396.9025602,"caller":"runnable/grpc.go:43","msg":"gRPC server listening","name":"ext-proc","port":9002} [e2e-llm-inference-service] {"level":"info","ts":1783440396.9074135,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1alpha2.InferenceModelRewrite","reflector":"pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1783440396.907421,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1alpha2.InferenceObjective","reflector":"pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1783440396.907749,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1.InferencePool","reflector":"pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1783440396.9107533,"logger":"controller-runtime.cache","caller":"cache/reflector.go:446","msg":"Caches populated","type":"*v1.Pod","reflector":"pkg/mod/k8s.io/client-go@v0.35.6/tools/cache/reflector.go:289"} [e2e-llm-inference-service] {"level":"info","ts":1783440397.0019975,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"inferencemodelrewrite","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceModelRewrite"} [e2e-llm-inference-service] {"level":"info","ts":1783440397.0020359,"caller":"controller/controller.go:306","msg":"Starting workers","controller":"inferencemodelrewrite","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceModelRewrite","worker count":1} [e2e-llm-inference-service] {"level":"info","ts":1783440397.0020542,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"inferenceobjective","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceObjective"} [e2e-llm-inference-service] {"level":"info","ts":1783440397.0020823,"caller":"controller/controller.go:306","msg":"Starting workers","controller":"inferenceobjective","controllerGroup":"inference.networking.x-k8s.io","controllerKind":"InferenceObjective","worker count":1} [e2e-llm-inference-service] {"level":"info","ts":1783440397.10228,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"inferencepool","controllerGroup":"inference.networking.k8s.io","controllerKind":"InferencePool"} [e2e-llm-inference-service] {"level":"info","ts":1783440397.1023288,"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":1783440397.102466,"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":"kserve-ci-e2e-test"},"namespace":"kserve-ci-e2e-test","name":"llmisvc-model-pvc-router-manage-2577e794-inference-pool","reconcileID":"8d232acd-f259-4da5-89e5-344d9391d107"} [e2e-llm-inference-service] {"level":"info","ts":1783440397.103356,"caller":"controller/controller.go:303","msg":"Starting Controller","controller":"pod","controllerGroup":"","controllerKind":"Pod"} [e2e-llm-inference-service] {"level":"info","ts":1783440397.1033792,"caller":"controller/controller.go:306","msg":"Starting workers","controller":"pod","controllerGroup":"","controllerKind":"Pod","worker count":1} [e2e-llm-inference-service] {"level":"info","ts":1783440415.0280888,"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":"kserve-ci-e2e-test"},"namespace":"kserve-ci-e2e-test","name":"llmisvc-model-pvc-router-manage-2577e794-inference-pool","reconcileID":"0298a7fb-5af9-4ab5-bb54-336487213bc2"} [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-epp-service [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 576b772c-f8ee-4345-b658-d16ccf53f55c [e2e-llm-inference-service] resourceVersion: '75228' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:06:36Z' [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: '2026-07-07T16:07:08Z' [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: '2026-07-07T16:07:08Z' [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: 10.132.0.53 [e2e-llm-inference-service] nodeName: ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: llmisvc1dc4269d1ada5f2d28562215d180c57f-kserve-router-schef84w4 [e2e-llm-inference-service] uid: f8960fd0-b4cd-4e09-b2e7-c2c799603cd2 [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] port: 9090 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] port: 5557 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] port: 9002 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Endpoints [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 8a886346-7176-4d00-ab1c-45a719331a91 [e2e-llm-inference-service] resourceVersion: '74632' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:06:36Z' [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: '2026-07-07T16:06:36Z' [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: '2026-07-07T16:06:36Z' [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:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-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: kserve-ci-e2e-test [e2e-llm-inference-service] uid: b8fc762c-f8b7-4cdf-a817-0c526655b1dc [e2e-llm-inference-service] resourceVersion: '74679' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:06:36Z' [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-7b97d8cc8b [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: dc52feed9d7e0b6abd87bf4d45c9409765943cd8 [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: 686d468674 [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":["10.134.0.49/23"],"mac_address":"0a:58:0a:86:00:31","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":"10.134.0.49/23","gateway_ip":"10.134.0.1","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: fe11be73-50b5-4bd1-ad4a-0663e9264875 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: ip-10-0-138-195 [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-07T16:06:36Z' [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: '2026-07-07T16:06:36Z' [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":"fe11be73-50b5-4bd1-ad4a-0663e9264875"}: {} [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: '2026-07-07T16:06:36Z' [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-tzmnn [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: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - vllm [e2e-llm-inference-service] - serve [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --served-model-name [e2e-llm-inference-service] - facebook/opt-125m [e2e-llm-inference-service] - --port [e2e-llm-inference-service] - '8000' [e2e-llm-inference-service] - --enable-ssl-refresh [e2e-llm-inference-service] - --ssl-certfile [e2e-llm-inference-service] - /var/run/kserve/tls/tls.crt [e2e-llm-inference-service] - --ssl-keyfile [e2e-llm-inference-service] - /var/run/kserve/tls/tls.key [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: LWS_LEADER_ADDRESS [e2e-llm-inference-service] value: llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0.llmisvc-model-pvc-router-manage-2577e794-kserve-mn.kserve-ci-e2e-test [e2e-llm-inference-service] - name: LWS_GROUP_SIZE [e2e-llm-inference-service] value: '2' [e2e-llm-inference-service] - name: LWS_WORKER_INDEX [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: VLLM_CPU_KVCACHE_SPACE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: VLLM_ENABLE_V1_MULTIPROCESSING [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: USER [e2e-llm-inference-service] value: nonroot [e2e-llm-inference-service] - name: TORCHINDUCTOR_CACHE_DIR [e2e-llm-inference-service] value: /tmp/torchinductor-cache [e2e-llm-inference-service] - name: HOME [e2e-llm-inference-service] value: /home [e2e-llm-inference-service] - name: VLLM_LOGGING_LEVEL [e2e-llm-inference-service] value: INFO [e2e-llm-inference-service] - name: HF_HUB_CACHE [e2e-llm-inference-service] value: /models [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '2' [e2e-llm-inference-service] memory: 7Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: kserve-pvc-source [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-tzmnn [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: 1000700000 [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-kserve-mn [e2e-llm-inference-service] serviceAccount: llmisvc-model-pvc-router-manage-2577e794-kserve-mn [e2e-llm-inference-service] nodeName: ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] seLinuxOptions: [e2e-llm-inference-service] level: s0:c26,c25 [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-thd6c [e2e-llm-inference-service] - name: llmisvc-model-pvc-router-manage-2577e7-b09f84b1-dockercfg-8vktm [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: '2026-07-07T16:06:36Z' [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: '2026-07-07T16:06:36Z' [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: '2026-07-07T16:06:36Z' [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: '2026-07-07T16:06:36Z' [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: '2026-07-07T16:06:36Z' [e2e-llm-inference-service] hostIP: 10.0.138.195 [e2e-llm-inference-service] hostIPs: [e2e-llm-inference-service] - ip: 10.0.138.195 [e2e-llm-inference-service] startTime: '2026-07-07T16:06:36Z' [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: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] imageID: '' [e2e-llm-inference-service] started: false [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] - name: kserve-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-tzmnn [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] qosClass: Burstable [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-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: kserve-ci-e2e-test [e2e-llm-inference-service] uid: ba1cce73-bb2e-464b-b4e7-224fd0abf79e [e2e-llm-inference-service] resourceVersion: '74694' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:06:36Z' [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-0-579bcdf848 [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/group-index: '0' [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/group-key: dc52feed9d7e0b6abd87bf4d45c9409765943cd8 [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: 686d468674 [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":["10.134.0.50/23"],"mac_address":"0a:58:0a:86:00:32","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":"10.134.0.50/23","gateway_ip":"10.134.0.1","role":"primary"}}' [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: 12c8c984-7e26-4c77-80d5-cce7a36c545e [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: ip-10-0-138-195 [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-07T16:06:36Z' [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: '2026-07-07T16:06:36Z' [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":"12c8c984-7e26-4c77-80d5-cce7a36c545e"}: {} [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: '2026-07-07T16:06:36Z' [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-r8kq4 [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: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - vllm [e2e-llm-inference-service] - serve [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --served-model-name [e2e-llm-inference-service] - facebook/opt-125m [e2e-llm-inference-service] - --port [e2e-llm-inference-service] - '8000' [e2e-llm-inference-service] - --enable-ssl-refresh [e2e-llm-inference-service] - --ssl-certfile [e2e-llm-inference-service] - /var/run/kserve/tls/tls.crt [e2e-llm-inference-service] - --ssl-keyfile [e2e-llm-inference-service] - /var/run/kserve/tls/tls.key [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: LWS_LEADER_ADDRESS [e2e-llm-inference-service] value: llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0.llmisvc-model-pvc-router-manage-2577e794-kserve-mn.kserve-ci-e2e-test [e2e-llm-inference-service] - name: LWS_GROUP_SIZE [e2e-llm-inference-service] value: '2' [e2e-llm-inference-service] - name: LWS_WORKER_INDEX [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: VLLM_CPU_KVCACHE_SPACE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: VLLM_ENABLE_V1_MULTIPROCESSING [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: USER [e2e-llm-inference-service] value: nonroot [e2e-llm-inference-service] - name: TORCHINDUCTOR_CACHE_DIR [e2e-llm-inference-service] value: /tmp/torchinductor-cache [e2e-llm-inference-service] - name: HOME [e2e-llm-inference-service] value: /home [e2e-llm-inference-service] - name: VLLM_LOGGING_LEVEL [e2e-llm-inference-service] value: INFO [e2e-llm-inference-service] - name: HF_HUB_CACHE [e2e-llm-inference-service] value: /models [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '2' [e2e-llm-inference-service] memory: 7Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: kserve-pvc-source [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /mnt/models [e2e-llm-inference-service] - name: kube-api-access-r8kq4 [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: 1000700000 [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-kserve-mn [e2e-llm-inference-service] serviceAccount: llmisvc-model-pvc-router-manage-2577e794-kserve-mn [e2e-llm-inference-service] nodeName: ip-10-0-138-195.ec2.internal [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] seLinuxOptions: [e2e-llm-inference-service] level: s0:c26,c25 [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-thd6c [e2e-llm-inference-service] - name: llmisvc-model-pvc-router-manage-2577e7-b09f84b1-dockercfg-8vktm [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: 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: '2026-07-07T16:06:36Z' [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: '2026-07-07T16:06:36Z' [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: '2026-07-07T16:06:36Z' [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: '2026-07-07T16:06:36Z' [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: '2026-07-07T16:06:36Z' [e2e-llm-inference-service] hostIP: 10.0.138.195 [e2e-llm-inference-service] hostIPs: [e2e-llm-inference-service] - ip: 10.0.138.195 [e2e-llm-inference-service] startTime: '2026-07-07T16:06:36Z' [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: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] imageID: '' [e2e-llm-inference-service] started: false [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: home [e2e-llm-inference-service] mountPath: /home [e2e-llm-inference-service] - name: tmp-dir [e2e-llm-inference-service] mountPath: /tmp [e2e-llm-inference-service] - name: dshm [e2e-llm-inference-service] mountPath: /dev/shm [e2e-llm-inference-service] - name: model-cache [e2e-llm-inference-service] mountPath: /models [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] - name: kserve-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-r8kq4 [e2e-llm-inference-service] mountPath: /var/run/secrets/kubernetes.io/serviceaccount [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] qosClass: Burstable [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc1dc4269d1ada5f2d28562215d180c57f-kserve-router-schef84w4 [e2e-llm-inference-service] generateName: llmisvc1dc4269d1ada5f2d28562215d180c57f-kserve-router-scheduler-7dbcb75dbc- [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: f8960fd0-b4cd-4e09-b2e7-c2c799603cd2 [e2e-llm-inference-service] resourceVersion: '75226' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:06:36Z' [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: 7dbcb75dbc [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] app.kubernetes.io/version: 0.9.0 [e2e-llm-inference-service] certificates.kserve.io/expiration-v2: 'true' [e2e-llm-inference-service] k8s.ovn.org/pod-networks: '{"default":{"ip_addresses":["10.132.0.53/23"],"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] 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-7dbcb75dbc [e2e-llm-inference-service] uid: 5fdf5e13-d47b-4202-b6b1-d0df89265962 [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] managedFields: [e2e-llm-inference-service] - manager: ip-10-0-129-17 [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-07T16:06:36Z' [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: '2026-07-07T16:06:36Z' [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":"5fdf5e13-d47b-4202-b6b1-d0df89265962"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"SSL_CERT_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":5557,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9002,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9003,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9090,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp/tokenizer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:enableServiceLinks: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:serviceAccount: {} [e2e-llm-inference-service] f:serviceAccountName: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"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":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tokenizer-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-uds"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: multus-daemon [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-07T16:06:36Z' [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: '2026-07-07T16:07:08Z' [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] 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: tokenizer-uds [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-tmp [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: kserve-pvc-source [e2e-llm-inference-service] persistentVolumeClaim: [e2e-llm-inference-service] claimName: e2e-pvc-model-storage [e2e-llm-inference-service] - name: kube-api-access-kggrc [e2e-llm-inference-service] projected: [e2e-llm-inference-service] sources: [e2e-llm-inference-service] - serviceAccountToken: [e2e-llm-inference-service] expirationSeconds: 3607 [e2e-llm-inference-service] path: token [e2e-llm-inference-service] - configMap: [e2e-llm-inference-service] name: kube-root-ca.crt [e2e-llm-inference-service] items: [e2e-llm-inference-service] - key: ca.crt [e2e-llm-inference-service] path: ca.crt [e2e-llm-inference-service] - downwardAPI: [e2e-llm-inference-service] items: [e2e-llm-inference-service] - path: namespace [e2e-llm-inference-service] fieldRef: [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] fieldPath: metadata.namespace [e2e-llm-inference-service] - configMap: [e2e-llm-inference-service] name: openshift-service-ca.crt [e2e-llm-inference-service] items: [e2e-llm-inference-service] - key: service-ca.crt [e2e-llm-inference-service] path: service-ca.crt [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/epp [e2e-llm-inference-service] - --pool-name [e2e-llm-inference-service] - llmisvc-model-pvc-router-manage-2577e794-inference-pool [e2e-llm-inference-service] - --pool-namespace [e2e-llm-inference-service] - kserve-ci-e2e-test [e2e-llm-inference-service] - --zap-encoder [e2e-llm-inference-service] - json [e2e-llm-inference-service] - --grpc-port [e2e-llm-inference-service] - '9002' [e2e-llm-inference-service] - --grpc-health-port [e2e-llm-inference-service] - '9003' [e2e-llm-inference-service] - --enable-cert-reload=true [e2e-llm-inference-service] - --secure-serving=true [e2e-llm-inference-service] - --model-server-metrics-scheme=https [e2e-llm-inference-service] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --config-text [e2e-llm-inference-service] - "apiVersion: inference.networking.x-k8s.io/v1alpha1\nkind: EndpointPickerConfig\n\ [e2e-llm-inference-service] plugins:\n- type: single-profile-handler\n- type: queue-scorer\n- type: prefix-cache-scorer\n\ [e2e-llm-inference-service] - type: max-score-picker\nschedulingProfiles:\n- name: default\n plugins:\n\ [e2e-llm-inference-service] \ - pluginRef: queue-scorer\n weight: 2\n - pluginRef: prefix-cache-scorer\n\ [e2e-llm-inference-service] \ weight: 3\n - pluginRef: max-score-picker\n" [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] containerPort: 9002 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] containerPort: 9003 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] containerPort: 9090 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] containerPort: 5557 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: SSL_CERT_DIR [e2e-llm-inference-service] value: /var/run/kserve/tls:/var/run/secrets/kubernetes.io/serviceaccount:/etc/pki/tls/certs [e2e-llm-inference-service] resources: [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] mountPath: /tmp/tokenizer [e2e-llm-inference-service] - name: kube-api-access-kggrc [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: 1000700000 [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-10-0-129-17.ec2.internal [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] seLinuxOptions: [e2e-llm-inference-service] level: s0:c26,c25 [e2e-llm-inference-service] fsGroup: 1000700000 [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-thd6c [e2e-llm-inference-service] - name: llmisvc-model-pvc-router-manage-2577e794-epp-sa-dockercfg-gmk48 [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: '2026-07-07T16:06:37Z' [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: '2026-07-07T16:06:36Z' [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: '2026-07-07T16:07:08Z' [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: '2026-07-07T16:07:08Z' [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: '2026-07-07T16:06:36Z' [e2e-llm-inference-service] hostIP: 10.0.129.17 [e2e-llm-inference-service] hostIPs: [e2e-llm-inference-service] - ip: 10.0.129.17 [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: '2026-07-07T16:06:36Z' [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: '2026-07-07T16:06:36Z' [e2e-llm-inference-service] lastState: {} [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] restartCount: 0 [e2e-llm-inference-service] image: ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2 [e2e-llm-inference-service] imageID: ghcr.io/llm-d/llm-d-router-endpoint-picker@sha256:06b6c75d77afd0e07053402752a9736c2dfbc12a306d0d37d963aac4c1d4e6a6 [e2e-llm-inference-service] containerID: cri-o://007b0d98be8c9dafdfcd6d12693fc803a1bf702c502ea772e84a36706368ce9a [e2e-llm-inference-service] started: true [e2e-llm-inference-service] allocatedResources: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] resources: [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] recursiveReadOnly: Disabled [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] mountPath: /tmp/tokenizer [e2e-llm-inference-service] - name: kube-api-access-kggrc [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: 1000700000 [e2e-llm-inference-service] gid: 0 [e2e-llm-inference-service] supplementalGroups: [e2e-llm-inference-service] - 0 [e2e-llm-inference-service] - 1000700000 [e2e-llm-inference-service] qosClass: Burstable [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-epp-sa [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: aae02b1a-c019-4bb8-b977-b8df3a760598 [e2e-llm-inference-service] resourceVersion: '74638' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:06:36Z' [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-gmk48 [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: adc3a69e-bccc-429d-b122-d639198ac6ab [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: '2026-07-07T16:06:36Z' [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-gmk48"}: {} [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-07T16:06:36Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [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":"adc3a69e-bccc-429d-b122-d639198ac6ab"}: {} [e2e-llm-inference-service] f:secrets: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"default-dockercfg-thd6c"}: {} [e2e-llm-inference-service] k:{"name":"seaweedfs-s3-creds"}: {} [e2e-llm-inference-service] secrets: [e2e-llm-inference-service] - name: default-dockercfg-thd6c [e2e-llm-inference-service] - name: seaweedfs-s3-creds [e2e-llm-inference-service] - name: llmisvc-model-pvc-router-manage-2577e794-epp-sa-dockercfg-gmk48 [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-thd6c [e2e-llm-inference-service] - name: llmisvc-model-pvc-router-manage-2577e794-epp-sa-dockercfg-gmk48 [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: ServiceAccount [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-kserve-mn [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 35d5cd70-fc2e-4a9f-bc21-2aa10daf07a4 [e2e-llm-inference-service] resourceVersion: '74622' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:06:35Z' [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-8vktm [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: adc3a69e-bccc-429d-b122-d639198ac6ab [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: '2026-07-07T16:06:36Z' [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-8vktm"}: {} [e2e-llm-inference-service] - manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] time: '2026-07-07T16:06:35Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [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":"adc3a69e-bccc-429d-b122-d639198ac6ab"}: {} [e2e-llm-inference-service] f:secrets: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"default-dockercfg-thd6c"}: {} [e2e-llm-inference-service] k:{"name":"seaweedfs-s3-creds"}: {} [e2e-llm-inference-service] secrets: [e2e-llm-inference-service] - name: default-dockercfg-thd6c [e2e-llm-inference-service] - name: seaweedfs-s3-creds [e2e-llm-inference-service] - name: llmisvc-model-pvc-router-manage-2577e7-b09f84b1-dockercfg-8vktm [e2e-llm-inference-service] imagePullSecrets: [e2e-llm-inference-service] - name: default-dockercfg-thd6c [e2e-llm-inference-service] - name: llmisvc-model-pvc-router-manage-2577e7-b09f84b1-dockercfg-8vktm [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: ServiceAccount [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-epp-service [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 4088d0d0-4328-491f-9b90-6a8f51518d41 [e2e-llm-inference-service] resourceVersion: '74696' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:06:36Z' [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: adc3a69e-bccc-429d-b122-d639198ac6ab [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: '2026-07-07T16:06:36Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [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":"adc3a69e-bccc-429d-b122-d639198ac6ab"}: {} [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: 172.31.149.112 [e2e-llm-inference-service] clusterIPs: [e2e-llm-inference-service] - 172.31.149.112 [e2e-llm-inference-service] type: ClusterIP [e2e-llm-inference-service] sessionAffinity: None [e2e-llm-inference-service] ipFamilies: [e2e-llm-inference-service] - IPv4 [e2e-llm-inference-service] ipFamilyPolicy: SingleStack [e2e-llm-inference-service] internalTrafficPolicy: Cluster [e2e-llm-inference-service] status: [e2e-llm-inference-service] loadBalancer: {} [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 7fbf91d2-8764-43bd-9686-6e72ed049ed8 [e2e-llm-inference-service] resourceVersion: '74631' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:06:36Z' [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: adc3a69e-bccc-429d-b122-d639198ac6ab [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: '2026-07-07T16:06:36Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [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":"adc3a69e-bccc-429d-b122-d639198ac6ab"}: {} [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: 172.31.199.139 [e2e-llm-inference-service] clusterIPs: [e2e-llm-inference-service] - 172.31.199.139 [e2e-llm-inference-service] type: ClusterIP [e2e-llm-inference-service] sessionAffinity: None [e2e-llm-inference-service] ipFamilies: [e2e-llm-inference-service] - IPv4 [e2e-llm-inference-service] ipFamilyPolicy: SingleStack [e2e-llm-inference-service] internalTrafficPolicy: Cluster [e2e-llm-inference-service] status: [e2e-llm-inference-service] loadBalancer: {} [e2e-llm-inference-service] apiVersion: v1 [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0-579bcdf848 [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 520d36bb-4796-43da-881b-9446f6386def [e2e-llm-inference-service] resourceVersion: '74669' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:06:36Z' [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: 579bcdf848 [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/group-index: '0' [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/group-key: dc52feed9d7e0b6abd87bf4d45c9409765943cd8 [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: 686d468674 [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: 12c8c984-7e26-4c77-80d5-cce7a36c545e [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: '2026-07-07T16:06:36Z' [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":"12c8c984-7e26-4c77-80d5-cce7a36c545e"}: {} [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: dc52feed9d7e0b6abd87bf4d45c9409765943cd8 [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: 686d468674 [e2e-llm-inference-service] spec: [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - args: [e2e-llm-inference-service] - --served-model-name [e2e-llm-inference-service] - facebook/opt-125m [e2e-llm-inference-service] - --port [e2e-llm-inference-service] - '8000' [e2e-llm-inference-service] - --enable-ssl-refresh [e2e-llm-inference-service] - --ssl-certfile [e2e-llm-inference-service] - /var/run/kserve/tls/tls.crt [e2e-llm-inference-service] - --ssl-keyfile [e2e-llm-inference-service] - /var/run/kserve/tls/tls.key [e2e-llm-inference-service] command: [e2e-llm-inference-service] - vllm [e2e-llm-inference-service] - serve [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: VLLM_CPU_KVCACHE_SPACE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: VLLM_ENABLE_V1_MULTIPROCESSING [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: USER [e2e-llm-inference-service] value: nonroot [e2e-llm-inference-service] - name: TORCHINDUCTOR_CACHE_DIR [e2e-llm-inference-service] value: /tmp/torchinductor-cache [e2e-llm-inference-service] - name: HOME [e2e-llm-inference-service] value: /home [e2e-llm-inference-service] - name: VLLM_LOGGING_LEVEL [e2e-llm-inference-service] value: INFO [e2e-llm-inference-service] - name: HF_HUB_CACHE [e2e-llm-inference-service] value: /models [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] name: main [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '2' [e2e-llm-inference-service] memory: 7Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] add: [e2e-llm-inference-service] - IPC_LOCK [e2e-llm-inference-service] - SYS_RAWIO [e2e-llm-inference-service] - NET_RAW [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - mountPath: /home [e2e-llm-inference-service] name: home [e2e-llm-inference-service] - mountPath: /tmp [e2e-llm-inference-service] name: tmp-dir [e2e-llm-inference-service] - mountPath: /dev/shm [e2e-llm-inference-service] name: dshm [e2e-llm-inference-service] - mountPath: /models [e2e-llm-inference-service] name: model-cache [e2e-llm-inference-service] - mountPath: /var/run/kserve/tls [e2e-llm-inference-service] name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] - mountPath: /mnt/models [e2e-llm-inference-service] name: kserve-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:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-kserve-mn-7b97d8cc8b [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 915920f1-48e9-4cce-a1ef-0db6c93cedd0 [e2e-llm-inference-service] resourceVersion: '74653' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:06:36Z' [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: 7b97d8cc8b [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: 686d468674 [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: fe11be73-50b5-4bd1-ad4a-0663e9264875 [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: '2026-07-07T16:06:36Z' [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":"fe11be73-50b5-4bd1-ad4a-0663e9264875"}: {} [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: 686d468674 [e2e-llm-inference-service] leaderworkerset.sigs.k8s.io/worker-index: '0' [e2e-llm-inference-service] llm-d.ai/role: both [e2e-llm-inference-service] spec: [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - args: [e2e-llm-inference-service] - --served-model-name [e2e-llm-inference-service] - facebook/opt-125m [e2e-llm-inference-service] - --port [e2e-llm-inference-service] - '8000' [e2e-llm-inference-service] - --enable-ssl-refresh [e2e-llm-inference-service] - --ssl-certfile [e2e-llm-inference-service] - /var/run/kserve/tls/tls.crt [e2e-llm-inference-service] - --ssl-keyfile [e2e-llm-inference-service] - /var/run/kserve/tls/tls.key [e2e-llm-inference-service] command: [e2e-llm-inference-service] - vllm [e2e-llm-inference-service] - serve [e2e-llm-inference-service] - /mnt/models [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: VLLM_CPU_KVCACHE_SPACE [e2e-llm-inference-service] value: '1' [e2e-llm-inference-service] - name: VLLM_ENABLE_V1_MULTIPROCESSING [e2e-llm-inference-service] value: '0' [e2e-llm-inference-service] - name: USER [e2e-llm-inference-service] value: nonroot [e2e-llm-inference-service] - name: TORCHINDUCTOR_CACHE_DIR [e2e-llm-inference-service] value: /tmp/torchinductor-cache [e2e-llm-inference-service] - name: HOME [e2e-llm-inference-service] value: /home [e2e-llm-inference-service] - name: VLLM_LOGGING_LEVEL [e2e-llm-inference-service] value: INFO [e2e-llm-inference-service] - name: HF_HUB_CACHE [e2e-llm-inference-service] value: /models [e2e-llm-inference-service] image: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] failureThreshold: 10 [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] name: main [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] failureThreshold: 2 [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] periodSeconds: 1 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '2' [e2e-llm-inference-service] memory: 7Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] add: [e2e-llm-inference-service] - IPC_LOCK [e2e-llm-inference-service] - SYS_RAWIO [e2e-llm-inference-service] - NET_RAW [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] startupProbe: [e2e-llm-inference-service] failureThreshold: 60 [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - mountPath: /home [e2e-llm-inference-service] name: home [e2e-llm-inference-service] - mountPath: /tmp [e2e-llm-inference-service] name: tmp-dir [e2e-llm-inference-service] - mountPath: /dev/shm [e2e-llm-inference-service] name: dshm [e2e-llm-inference-service] - mountPath: /models [e2e-llm-inference-service] name: model-cache [e2e-llm-inference-service] - mountPath: /var/run/kserve/tls [e2e-llm-inference-service] name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] - mountPath: /mnt/models [e2e-llm-inference-service] name: kserve-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:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc1dc4269d1ada5f2d28562215d180c57f-kserve-router-scheduler [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: c801036e-b79d-466a-a7ed-d1a4aca2aa86 [e2e-llm-inference-service] resourceVersion: '75230' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:06:36Z' [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: adc3a69e-bccc-429d-b122-d639198ac6ab [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: '2026-07-07T16:06:36Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [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":"adc3a69e-bccc-429d-b122-d639198ac6ab"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:progressDeadlineSeconds: {} [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:revisionHistoryLimit: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:strategy: [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:template: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/version: {} [e2e-llm-inference-service] f:certificates.kserve.io/expiration-v2: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"SSL_CERT_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":5557,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9002,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9003,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9090,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp/tokenizer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:serviceAccount: {} [e2e-llm-inference-service] f:serviceAccountName: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"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":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tokenizer-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-uds"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-07T16:07:08Z' [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: 0.9.0 [e2e-llm-inference-service] certificates.kserve.io/expiration-v2: 'true' [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: llmisv1dc4269d1ada5f2d28562215d180c57f-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-tmp [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: kserve-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: ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/epp [e2e-llm-inference-service] - --pool-name [e2e-llm-inference-service] - llmisvc-model-pvc-router-manage-2577e794-inference-pool [e2e-llm-inference-service] - --pool-namespace [e2e-llm-inference-service] - kserve-ci-e2e-test [e2e-llm-inference-service] - --zap-encoder [e2e-llm-inference-service] - json [e2e-llm-inference-service] - --grpc-port [e2e-llm-inference-service] - '9002' [e2e-llm-inference-service] - --grpc-health-port [e2e-llm-inference-service] - '9003' [e2e-llm-inference-service] - --enable-cert-reload=true [e2e-llm-inference-service] - --secure-serving=true [e2e-llm-inference-service] - --model-server-metrics-scheme=https [e2e-llm-inference-service] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --config-text [e2e-llm-inference-service] - "apiVersion: inference.networking.x-k8s.io/v1alpha1\nkind: EndpointPickerConfig\n\ [e2e-llm-inference-service] plugins:\n- type: single-profile-handler\n- type: queue-scorer\n- type:\ [e2e-llm-inference-service] \ prefix-cache-scorer\n- type: max-score-picker\nschedulingProfiles:\n-\ [e2e-llm-inference-service] \ name: default\n plugins:\n - pluginRef: queue-scorer\n weight: 2\n\ [e2e-llm-inference-service] \ - pluginRef: prefix-cache-scorer\n weight: 3\n - pluginRef: max-score-picker\n" [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] containerPort: 9002 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] containerPort: 9003 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] containerPort: 9090 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] containerPort: 5557 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: SSL_CERT_DIR [e2e-llm-inference-service] value: /var/run/kserve/tls:/var/run/secrets/kubernetes.io/serviceaccount:/etc/pki/tls/certs [e2e-llm-inference-service] resources: [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] mountPath: /tmp/tokenizer [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: liveness [e2e-llm-inference-service] initialDelaySeconds: 5 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: readiness [e2e-llm-inference-service] initialDelaySeconds: 30 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] serviceAccountName: llmisvc-model-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: '2026-07-07T16:07:08Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-07T16:07:08Z' [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: '2026-07-07T16:07:08Z' [e2e-llm-inference-service] lastTransitionTime: '2026-07-07T16:06:36Z' [e2e-llm-inference-service] reason: NewReplicaSetAvailable [e2e-llm-inference-service] message: ReplicaSet "llmisvc1dc4269d1ada5f2d28562215d180c57f-kserve-router-scheduler-7dbcb75dbc" [e2e-llm-inference-service] has successfully progressed. [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] kind: Deployment [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc1dc4269d1ada5f2d28562215d180c57f-kserve-router-scheduler-7dbcb75dbc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 5fdf5e13-d47b-4202-b6b1-d0df89265962 [e2e-llm-inference-service] resourceVersion: '75229' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:06:36Z' [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: 7dbcb75dbc [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: c801036e-b79d-466a-a7ed-d1a4aca2aa86 [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: '2026-07-07T16:06:36Z' [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":"c801036e-b79d-466a-a7ed-d1a4aca2aa86"}: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:replicas: {} [e2e-llm-inference-service] f:selector: {} [e2e-llm-inference-service] f:template: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:annotations: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/version: {} [e2e-llm-inference-service] f:certificates.kserve.io/expiration-v2: {} [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [e2e-llm-inference-service] f:app.kubernetes.io/name: {} [e2e-llm-inference-service] f:app.kubernetes.io/part-of: {} [e2e-llm-inference-service] f:pod-template-hash: {} [e2e-llm-inference-service] f:spec: [e2e-llm-inference-service] f:containers: [e2e-llm-inference-service] k:{"name":"main"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:args: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:env: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"SSL_CERT_DIR"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:value: {} [e2e-llm-inference-service] f:image: {} [e2e-llm-inference-service] f:imagePullPolicy: {} [e2e-llm-inference-service] f:lifecycle: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:preStop: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:exec: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:command: {} [e2e-llm-inference-service] f:livenessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:ports: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"containerPort":5557,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9002,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9003,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] k:{"containerPort":9090,"protocol":"TCP"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:containerPort: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:protocol: {} [e2e-llm-inference-service] f:readinessProbe: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:failureThreshold: {} [e2e-llm-inference-service] f:grpc: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:port: {} [e2e-llm-inference-service] f:service: {} [e2e-llm-inference-service] f:initialDelaySeconds: {} [e2e-llm-inference-service] f:periodSeconds: {} [e2e-llm-inference-service] f:successThreshold: {} [e2e-llm-inference-service] f:timeoutSeconds: {} [e2e-llm-inference-service] f:resources: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:requests: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:cpu: {} [e2e-llm-inference-service] f:memory: {} [e2e-llm-inference-service] f:securityContext: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:allowPrivilegeEscalation: {} [e2e-llm-inference-service] f:capabilities: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:drop: {} [e2e-llm-inference-service] f:readOnlyRootFilesystem: {} [e2e-llm-inference-service] f:runAsNonRoot: {} [e2e-llm-inference-service] f:seccompProfile: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:type: {} [e2e-llm-inference-service] f:terminationMessagePath: {} [e2e-llm-inference-service] f:terminationMessagePolicy: {} [e2e-llm-inference-service] f:volumeMounts: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"mountPath":"/tmp/tokenizer"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"mountPath":"/var/run/kserve/tls"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:mountPath: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:readOnly: {} [e2e-llm-inference-service] f:dnsPolicy: {} [e2e-llm-inference-service] f:restartPolicy: {} [e2e-llm-inference-service] f:schedulerName: {} [e2e-llm-inference-service] f:securityContext: {} [e2e-llm-inference-service] f:serviceAccount: {} [e2e-llm-inference-service] f:serviceAccountName: {} [e2e-llm-inference-service] f:terminationGracePeriodSeconds: {} [e2e-llm-inference-service] f:volumes: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] k:{"name":"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":"tls-certs"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] f:secret: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:defaultMode: {} [e2e-llm-inference-service] f:secretName: {} [e2e-llm-inference-service] k:{"name":"tokenizer-cache"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-tmp"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] k:{"name":"tokenizer-uds"}: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:emptyDir: {} [e2e-llm-inference-service] f:name: {} [e2e-llm-inference-service] - manager: kube-controller-manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] apiVersion: apps/v1 [e2e-llm-inference-service] time: '2026-07-07T16:07:08Z' [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: 7dbcb75dbc [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: 7dbcb75dbc [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] app.kubernetes.io/version: 0.9.0 [e2e-llm-inference-service] certificates.kserve.io/expiration-v2: 'true' [e2e-llm-inference-service] spec: [e2e-llm-inference-service] volumes: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] secret: [e2e-llm-inference-service] secretName: llmisv1dc4269d1ada5f2d28562215d180c57f-kserve-self-signed-certs [e2e-llm-inference-service] defaultMode: 420 [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-tmp [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: tokenizer-cache [e2e-llm-inference-service] emptyDir: {} [e2e-llm-inference-service] - name: kserve-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: ghcr.io/llm-d/llm-d-router-endpoint-picker:v0.9.0-rc.2 [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /app/epp [e2e-llm-inference-service] - --pool-name [e2e-llm-inference-service] - llmisvc-model-pvc-router-manage-2577e794-inference-pool [e2e-llm-inference-service] - --pool-namespace [e2e-llm-inference-service] - kserve-ci-e2e-test [e2e-llm-inference-service] - --zap-encoder [e2e-llm-inference-service] - json [e2e-llm-inference-service] - --grpc-port [e2e-llm-inference-service] - '9002' [e2e-llm-inference-service] - --grpc-health-port [e2e-llm-inference-service] - '9003' [e2e-llm-inference-service] - --enable-cert-reload=true [e2e-llm-inference-service] - --secure-serving=true [e2e-llm-inference-service] - --model-server-metrics-scheme=https [e2e-llm-inference-service] - --cert-path=/var/run/kserve/tls [e2e-llm-inference-service] args: [e2e-llm-inference-service] - --config-text [e2e-llm-inference-service] - "apiVersion: inference.networking.x-k8s.io/v1alpha1\nkind: EndpointPickerConfig\n\ [e2e-llm-inference-service] plugins:\n- type: single-profile-handler\n- type: queue-scorer\n- type:\ [e2e-llm-inference-service] \ prefix-cache-scorer\n- type: max-score-picker\nschedulingProfiles:\n-\ [e2e-llm-inference-service] \ name: default\n plugins:\n - pluginRef: queue-scorer\n weight: 2\n\ [e2e-llm-inference-service] \ - pluginRef: prefix-cache-scorer\n weight: 3\n - pluginRef: max-score-picker\n" [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] containerPort: 9002 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] containerPort: 9003 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] containerPort: 9090 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] containerPort: 5557 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] env: [e2e-llm-inference-service] - name: SSL_CERT_DIR [e2e-llm-inference-service] value: /var/run/kserve/tls:/var/run/secrets/kubernetes.io/serviceaccount:/etc/pki/tls/certs [e2e-llm-inference-service] resources: [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 256m [e2e-llm-inference-service] memory: 500Mi [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] mountPath: /var/run/kserve/tls [e2e-llm-inference-service] - name: tokenizer-uds [e2e-llm-inference-service] mountPath: /tmp/tokenizer [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: liveness [e2e-llm-inference-service] initialDelaySeconds: 5 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] grpc: [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] service: readiness [e2e-llm-inference-service] initialDelaySeconds: 30 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] successThreshold: 1 [e2e-llm-inference-service] failureThreshold: 3 [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] restartPolicy: Always [e2e-llm-inference-service] terminationGracePeriodSeconds: 60 [e2e-llm-inference-service] dnsPolicy: ClusterFirst [e2e-llm-inference-service] serviceAccountName: llmisvc-model-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:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-epp-rb [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 98d89c5f-f52f-4e52-95da-5aa96a8bebf5 [e2e-llm-inference-service] resourceVersion: '74656' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:06:36Z' [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: adc3a69e-bccc-429d-b122-d639198ac6ab [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: '2026-07-07T16:06:36Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [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":"adc3a69e-bccc-429d-b122-d639198ac6ab"}: {} [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: kserve-ci-e2e-test [e2e-llm-inference-service] roleRef: [e2e-llm-inference-service] apiGroup: rbac.authorization.k8s.io [e2e-llm-inference-service] kind: Role [e2e-llm-inference-service] name: llmisvc-model-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:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-kserve-mn-scc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 4158f904-c0c1-4b79-a2f2-8a3932369014 [e2e-llm-inference-service] resourceVersion: '74617' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:06:35Z' [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: adc3a69e-bccc-429d-b122-d639198ac6ab [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: '2026-07-07T16:06:35Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [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":"adc3a69e-bccc-429d-b122-d639198ac6ab"}: {} [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:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-epp-role [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 4c813a41-32d5-4bdb-9afb-3a80426bbd3a [e2e-llm-inference-service] resourceVersion: '74643' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:06:36Z' [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: adc3a69e-bccc-429d-b122-d639198ac6ab [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: '2026-07-07T16:06:36Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [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":"adc3a69e-bccc-429d-b122-d639198ac6ab"}: {} [e2e-llm-inference-service] f:rules: {} [e2e-llm-inference-service] rules: [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - '' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - pods [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - inference.networking.k8s.io [e2e-llm-inference-service] - inference.networking.x-k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencepools [e2e-llm-inference-service] - inferenceobjectives [e2e-llm-inference-service] - inferencemodels [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - inference.networking.x-k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencemodelrewrites [e2e-llm-inference-service] - inferencepoolimports [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - discovery.k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - endpointslices [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] - create [e2e-llm-inference-service] - update [e2e-llm-inference-service] - patch [e2e-llm-inference-service] - delete [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - coordination.k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - leases [e2e-llm-inference-service] apiVersion: rbac.authorization.k8s.io/v1 [e2e-llm-inference-service] kind: Role [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-epp-service-9kx55 [e2e-llm-inference-service] generateName: llmisvc-model-pvc-router-manage-2577e794-epp-service- [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 0d277bd9-e3db-4268-bcc5-d71b72e166c4 [e2e-llm-inference-service] resourceVersion: '75227' [e2e-llm-inference-service] generation: 3 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:06:36Z' [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: '2026-07-07T16:07:08Z' [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: 4088d0d0-4328-491f-9b90-6a8f51518d41 [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: '2026-07-07T16:07:08Z' [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":"4088d0d0-4328-491f-9b90-6a8f51518d41"}: {} [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] - 10.132.0.53 [e2e-llm-inference-service] conditions: [e2e-llm-inference-service] ready: true [e2e-llm-inference-service] serving: true [e2e-llm-inference-service] terminating: false [e2e-llm-inference-service] targetRef: [e2e-llm-inference-service] kind: Pod [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] name: llmisvc1dc4269d1ada5f2d28562215d180c57f-kserve-router-schef84w4 [e2e-llm-inference-service] uid: f8960fd0-b4cd-4e09-b2e7-c2c799603cd2 [e2e-llm-inference-service] nodeName: ip-10-0-129-17.ec2.internal [e2e-llm-inference-service] zone: us-east-1a [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - name: grpc [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9002 [e2e-llm-inference-service] - name: grpc-health [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9003 [e2e-llm-inference-service] - name: metrics [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 9090 [e2e-llm-inference-service] - name: zmq [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] port: 5557 [e2e-llm-inference-service] apiVersion: discovery.k8s.io/v1 [e2e-llm-inference-service] kind: EndpointSlice [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-kserve-workload-svm6kw [e2e-llm-inference-service] generateName: llmisvc-model-pvc-router-manage-2577e794-kserve-workload-svc- [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 8d98133e-6e32-4a4c-a5b4-5647c30dea86 [e2e-llm-inference-service] resourceVersion: '74634' [e2e-llm-inference-service] generation: 1 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:06:36Z' [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: '2026-07-07T16:06:36Z' [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: 7fbf91d2-8764-43bd-9686-6e72ed049ed8 [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: '2026-07-07T16:06:36Z' [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":"7fbf91d2-8764-43bd-9686-6e72ed049ed8"}: {} [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:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-epp-rb [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 98d89c5f-f52f-4e52-95da-5aa96a8bebf5 [e2e-llm-inference-service] resourceVersion: '74656' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:06:36Z' [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: adc3a69e-bccc-429d-b122-d639198ac6ab [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: '2026-07-07T16:06:36Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [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":"adc3a69e-bccc-429d-b122-d639198ac6ab"}: {} [e2e-llm-inference-service] f:roleRef: {} [e2e-llm-inference-service] f:subjects: {} [e2e-llm-inference-service] userNames: [e2e-llm-inference-service] - system:serviceaccount:kserve-ci-e2e-test:llmisvc-model-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: kserve-ci-e2e-test [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-epp-sa [e2e-llm-inference-service] roleRef: [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [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:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-kserve-mn-scc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 4158f904-c0c1-4b79-a2f2-8a3932369014 [e2e-llm-inference-service] resourceVersion: '74617' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:06:35Z' [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: adc3a69e-bccc-429d-b122-d639198ac6ab [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: '2026-07-07T16:06:35Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [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":"adc3a69e-bccc-429d-b122-d639198ac6ab"}: {} [e2e-llm-inference-service] f:roleRef: {} [e2e-llm-inference-service] f:subjects: {} [e2e-llm-inference-service] userNames: [e2e-llm-inference-service] - system:serviceaccount:kserve-ci-e2e-test:llmisvc-model-pvc-router-manage-2577e794-kserve-mn [e2e-llm-inference-service] - system:serviceaccount:kserve-ci-e2e-test: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:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-epp-role [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] uid: 4c813a41-32d5-4bdb-9afb-3a80426bbd3a [e2e-llm-inference-service] resourceVersion: '74643' [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:06:36Z' [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: adc3a69e-bccc-429d-b122-d639198ac6ab [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: '2026-07-07T16:06:36Z' [e2e-llm-inference-service] fieldsType: FieldsV1 [e2e-llm-inference-service] fieldsV1: [e2e-llm-inference-service] f:metadata: [e2e-llm-inference-service] f:labels: [e2e-llm-inference-service] .: {} [e2e-llm-inference-service] f:app.kubernetes.io/component: {} [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":"adc3a69e-bccc-429d-b122-d639198ac6ab"}: {} [e2e-llm-inference-service] f:rules: {} [e2e-llm-inference-service] rules: [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - '' [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - pods [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - inference.networking.k8s.io [e2e-llm-inference-service] - inference.networking.x-k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencemodels [e2e-llm-inference-service] - inferenceobjectives [e2e-llm-inference-service] - inferencepools [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - inference.networking.x-k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - inferencemodelrewrites [e2e-llm-inference-service] - inferencepoolimports [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - discovery.k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - endpointslices [e2e-llm-inference-service] - verbs: [e2e-llm-inference-service] - create [e2e-llm-inference-service] - delete [e2e-llm-inference-service] - get [e2e-llm-inference-service] - list [e2e-llm-inference-service] - patch [e2e-llm-inference-service] - update [e2e-llm-inference-service] - watch [e2e-llm-inference-service] attributeRestrictions: null [e2e-llm-inference-service] apiGroups: [e2e-llm-inference-service] - coordination.k8s.io [e2e-llm-inference-service] resources: [e2e-llm-inference-service] - leases [e2e-llm-inference-service] apiVersion: authorization.openshift.io/v1 [e2e-llm-inference-service] kind: Role [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: gateway.networking.k8s.io/v1 [e2e-llm-inference-service] kind: HTTPRoute [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] serving.kserve.io/inference-pool-migrated: v1 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:06:36Z' [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":"adc3a69e-bccc-429d-b122-d639198ac6ab"}: {} [e2e-llm-inference-service] f:spec: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-07T16:06:55Z' [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: '2026-07-07T16:06:55Z' [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: '2026-07-07T16:06:56Z' [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-kserve-route [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794 [e2e-llm-inference-service] uid: adc3a69e-bccc-429d-b122-d639198ac6ab [e2e-llm-inference-service] resourceVersion: '75081' [e2e-llm-inference-service] uid: 189dc6fb-5b57-4985-b8b7-69d9c4249c9b [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: /kserve-ci-e2e-test/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] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/completions [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/completions/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-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: /kserve-ci-e2e-test/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] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/chat/completions [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/chat/completions/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-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: /kserve-ci-e2e-test/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] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/responses [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/responses/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-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: /kserve-ci-e2e-test/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/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/messages [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/messages/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-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: /kserve-ci-e2e-test/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/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: / [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] status: [e2e-llm-inference-service] parents: [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T16:06:36Z' [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: '2026-07-07T16:06:55Z' [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: '2026-07-07T16:06:38Z' [e2e-llm-inference-service] message: Object affected by AuthPolicy [kserve-ci-e2e-test/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:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: gateway.networking.k8s.io/v1beta1 [e2e-llm-inference-service] kind: HTTPRoute [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] annotations: [e2e-llm-inference-service] serving.kserve.io/inference-pool-migrated: v1 [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:06:36Z' [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":"adc3a69e-bccc-429d-b122-d639198ac6ab"}: {} [e2e-llm-inference-service] f:spec: {} [e2e-llm-inference-service] manager: manager [e2e-llm-inference-service] operation: Update [e2e-llm-inference-service] time: '2026-07-07T16:06:55Z' [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: '2026-07-07T16:06:55Z' [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: '2026-07-07T16:06:56Z' [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-kserve-route [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794 [e2e-llm-inference-service] uid: adc3a69e-bccc-429d-b122-d639198ac6ab [e2e-llm-inference-service] resourceVersion: '75081' [e2e-llm-inference-service] uid: 189dc6fb-5b57-4985-b8b7-69d9c4249c9b [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: /kserve-ci-e2e-test/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] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/completions [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/completions/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-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: /kserve-ci-e2e-test/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] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/chat/completions [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/chat/completions/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-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: /kserve-ci-e2e-test/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] matches: [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/responses [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/responses/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: inference.networking.k8s.io [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] name: llmisvc-model-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: /kserve-ci-e2e-test/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/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/messages [e2e-llm-inference-service] - headers: [e2e-llm-inference-service] - name: X-Gateway-Model-Name [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: publishers/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: Exact [e2e-llm-inference-service] value: /v1/messages/ [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] - backendRefs: [e2e-llm-inference-service] - group: '' [e2e-llm-inference-service] kind: Service [e2e-llm-inference-service] name: llmisvc-model-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: /kserve-ci-e2e-test/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/kserve-ci-e2e-test/models/facebook/opt-125m [e2e-llm-inference-service] path: [e2e-llm-inference-service] type: PathPrefix [e2e-llm-inference-service] value: / [e2e-llm-inference-service] timeouts: [e2e-llm-inference-service] backendRequest: 0s [e2e-llm-inference-service] request: 0s [e2e-llm-inference-service] status: [e2e-llm-inference-service] parents: [e2e-llm-inference-service] - conditions: [e2e-llm-inference-service] - lastTransitionTime: '2026-07-07T16:06:36Z' [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: '2026-07-07T16:06:55Z' [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: '2026-07-07T16:06:38Z' [e2e-llm-inference-service] message: Object affected by AuthPolicy [kserve-ci-e2e-test/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:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: inference.networking.k8s.io/v1 [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:06:36Z' [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":"adc3a69e-bccc-429d-b122-d639198ac6ab"}: {} [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: '2026-07-07T16:06:36Z' [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: '2026-07-07T16:06:55Z' [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-inference-pool [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794 [e2e-llm-inference-service] uid: adc3a69e-bccc-429d-b122-d639198ac6ab [e2e-llm-inference-service] resourceVersion: '75045' [e2e-llm-inference-service] uid: 36de350e-7d3f-4073-b9a4-3630fb9617b2 [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: '2026-07-07T16:06:55Z' [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: '2026-07-07T16:06:55Z' [e2e-llm-inference-service] message: Referenced ExtensionRef resolved successfully [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] reason: ResolvedRefs [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: ResolvedRefs [e2e-llm-inference-service] parentRef: [e2e-llm-inference-service] group: networking.istio.io [e2e-llm-inference-service] kind: Gateway [e2e-llm-inference-service] name: openshift-ai-inference [e2e-llm-inference-service] namespace: openshift-ingress [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: kuadrant.io/v1 [e2e-llm-inference-service] kind: AuthPolicy [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:06:39Z' [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":"adc3a69e-bccc-429d-b122-d639198ac6ab"}: {} [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: '2026-07-07T16:06:39Z' [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: '2026-07-07T16:06:43Z' [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-kserve-route-authn [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794 [e2e-llm-inference-service] uid: adc3a69e-bccc-429d-b122-d639198ac6ab [e2e-llm-inference-service] resourceVersion: '74883' [e2e-llm-inference-service] uid: 84a6d378-b0d1-42d5-9a48-8476056475e5 [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: '2026-07-07T16:06:41Z' [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: '2026-07-07T16:06:43Z' [e2e-llm-inference-service] message: AuthPolicy has been successfully enforced [e2e-llm-inference-service] reason: Enforced [e2e-llm-inference-service] status: 'True' [e2e-llm-inference-service] type: Enforced [e2e-llm-inference-service] observedGeneration: 1 [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: leaderworkerset.x-k8s.io/v1 [e2e-llm-inference-service] kind: LeaderWorkerSet [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:06:36Z' [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: '2026-07-07T16:06:36Z' [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":"adc3a69e-bccc-429d-b122-d639198ac6ab"}: {} [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: '2026-07-07T16:06:36Z' [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-kserve-mn [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794 [e2e-llm-inference-service] uid: adc3a69e-bccc-429d-b122-d639198ac6ab [e2e-llm-inference-service] resourceVersion: '74692' [e2e-llm-inference-service] uid: 80687521-f0cc-4221-8cae-226a228cf60e [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: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] livenessProbe: [e2e-llm-inference-service] failureThreshold: 10 [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] name: main [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] readinessProbe: [e2e-llm-inference-service] failureThreshold: 2 [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] periodSeconds: 1 [e2e-llm-inference-service] timeoutSeconds: 1 [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '2' [e2e-llm-inference-service] memory: 7Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] add: [e2e-llm-inference-service] - IPC_LOCK [e2e-llm-inference-service] - SYS_RAWIO [e2e-llm-inference-service] - NET_RAW [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] startupProbe: [e2e-llm-inference-service] failureThreshold: 60 [e2e-llm-inference-service] httpGet: [e2e-llm-inference-service] path: /health [e2e-llm-inference-service] port: 8000 [e2e-llm-inference-service] scheme: HTTPS [e2e-llm-inference-service] periodSeconds: 10 [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - mountPath: /home [e2e-llm-inference-service] name: home [e2e-llm-inference-service] - mountPath: /tmp [e2e-llm-inference-service] name: tmp-dir [e2e-llm-inference-service] - mountPath: /dev/shm [e2e-llm-inference-service] name: dshm [e2e-llm-inference-service] - mountPath: /models [e2e-llm-inference-service] name: model-cache [e2e-llm-inference-service] - mountPath: /var/run/kserve/tls [e2e-llm-inference-service] name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] - mountPath: /mnt/models [e2e-llm-inference-service] name: kserve-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: public.ecr.aws/q9t5s3a7/vllm-cpu-release-repo:v0.19.0 [e2e-llm-inference-service] imagePullPolicy: IfNotPresent [e2e-llm-inference-service] lifecycle: [e2e-llm-inference-service] preStop: [e2e-llm-inference-service] exec: [e2e-llm-inference-service] command: [e2e-llm-inference-service] - /bin/sleep [e2e-llm-inference-service] - '15' [e2e-llm-inference-service] name: main [e2e-llm-inference-service] ports: [e2e-llm-inference-service] - containerPort: 8000 [e2e-llm-inference-service] protocol: TCP [e2e-llm-inference-service] resources: [e2e-llm-inference-service] limits: [e2e-llm-inference-service] cpu: '2' [e2e-llm-inference-service] memory: 7Gi [e2e-llm-inference-service] requests: [e2e-llm-inference-service] cpu: 200m [e2e-llm-inference-service] memory: 2Gi [e2e-llm-inference-service] securityContext: [e2e-llm-inference-service] allowPrivilegeEscalation: false [e2e-llm-inference-service] capabilities: [e2e-llm-inference-service] add: [e2e-llm-inference-service] - IPC_LOCK [e2e-llm-inference-service] - SYS_RAWIO [e2e-llm-inference-service] - NET_RAW [e2e-llm-inference-service] drop: [e2e-llm-inference-service] - ALL [e2e-llm-inference-service] readOnlyRootFilesystem: true [e2e-llm-inference-service] runAsNonRoot: true [e2e-llm-inference-service] seccompProfile: [e2e-llm-inference-service] type: RuntimeDefault [e2e-llm-inference-service] terminationMessagePath: /dev/termination-log [e2e-llm-inference-service] terminationMessagePolicy: FallbackToLogsOnError [e2e-llm-inference-service] volumeMounts: [e2e-llm-inference-service] - mountPath: /home [e2e-llm-inference-service] name: home [e2e-llm-inference-service] - mountPath: /tmp [e2e-llm-inference-service] name: tmp-dir [e2e-llm-inference-service] - mountPath: /dev/shm [e2e-llm-inference-service] name: dshm [e2e-llm-inference-service] - mountPath: /models [e2e-llm-inference-service] name: model-cache [e2e-llm-inference-service] - mountPath: /var/run/kserve/tls [e2e-llm-inference-service] name: tls-certs [e2e-llm-inference-service] readOnly: true [e2e-llm-inference-service] - mountPath: /mnt/models [e2e-llm-inference-service] name: kserve-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: '2026-07-07T16:06:36Z' [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:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:06:36Z' [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":"adc3a69e-bccc-429d-b122-d639198ac6ab"}: {} [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: '2026-07-07T16:06:36Z' [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-kserve-scheduler [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794 [e2e-llm-inference-service] uid: adc3a69e-bccc-429d-b122-d639198ac6ab [e2e-llm-inference-service] resourceVersion: '74715' [e2e-llm-inference-service] uid: 5a9616ad-7982-4bbc-8c53-6119db8115e6 [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.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-model-pvc-router-manage-2577e794-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:06:55Z' [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":"adc3a69e-bccc-429d-b122-d639198ac6ab"}: {} [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: '2026-07-07T16:06:55Z' [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-kserve-shadow-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794 [e2e-llm-inference-service] uid: adc3a69e-bccc-429d-b122-d639198ac6ab [e2e-llm-inference-service] resourceVersion: '75050' [e2e-llm-inference-service] uid: 45a8b8e7-c23f-40a4-9536-554ef617e52c [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.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-model-pvc-router-manage-2577e794-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:06:37Z' [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":"adc3a69e-bccc-429d-b122-d639198ac6ab"}: {} [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: '2026-07-07T16:06:37Z' [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794 [e2e-llm-inference-service] uid: adc3a69e-bccc-429d-b122-d639198ac6ab [e2e-llm-inference-service] resourceVersion: '74732' [e2e-llm-inference-service] uid: b48f487e-40c8-4e3c-87dc-5ef19a6db6e6 [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.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] caCertificates: /var/run/secrets/kubernetes.io/serviceaccount/service-ca.crt [e2e-llm-inference-service] insecureSkipVerify: false [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-model-pvc-router-manage-2577e794-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1beta1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:06:36Z' [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":"adc3a69e-bccc-429d-b122-d639198ac6ab"}: {} [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: '2026-07-07T16:06:36Z' [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-kserve-scheduler [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794 [e2e-llm-inference-service] uid: adc3a69e-bccc-429d-b122-d639198ac6ab [e2e-llm-inference-service] resourceVersion: '74715' [e2e-llm-inference-service] uid: 5a9616ad-7982-4bbc-8c53-6119db8115e6 [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.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-model-pvc-router-manage-2577e794-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1beta1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:06:55Z' [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":"adc3a69e-bccc-429d-b122-d639198ac6ab"}: {} [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: '2026-07-07T16:06:55Z' [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-kserve-shadow-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794 [e2e-llm-inference-service] uid: adc3a69e-bccc-429d-b122-d639198ac6ab [e2e-llm-inference-service] resourceVersion: '75050' [e2e-llm-inference-service] uid: 45a8b8e7-c23f-40a4-9536-554ef617e52c [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.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-model-pvc-router-manage-2577e794-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1beta1 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:06:37Z' [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":"adc3a69e-bccc-429d-b122-d639198ac6ab"}: {} [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: '2026-07-07T16:06:37Z' [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794 [e2e-llm-inference-service] uid: adc3a69e-bccc-429d-b122-d639198ac6ab [e2e-llm-inference-service] resourceVersion: '74732' [e2e-llm-inference-service] uid: b48f487e-40c8-4e3c-87dc-5ef19a6db6e6 [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.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] caCertificates: /var/run/secrets/kubernetes.io/serviceaccount/service-ca.crt [e2e-llm-inference-service] insecureSkipVerify: false [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-model-pvc-router-manage-2577e794-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1alpha3 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:06:36Z' [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":"adc3a69e-bccc-429d-b122-d639198ac6ab"}: {} [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: '2026-07-07T16:06:36Z' [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-kserve-scheduler [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794 [e2e-llm-inference-service] uid: adc3a69e-bccc-429d-b122-d639198ac6ab [e2e-llm-inference-service] resourceVersion: '74715' [e2e-llm-inference-service] uid: 5a9616ad-7982-4bbc-8c53-6119db8115e6 [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.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-model-pvc-router-manage-2577e794-epp-service.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1alpha3 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:06:55Z' [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":"adc3a69e-bccc-429d-b122-d639198ac6ab"}: {} [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: '2026-07-07T16:06:55Z' [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-kserve-shadow-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794 [e2e-llm-inference-service] uid: adc3a69e-bccc-429d-b122-d639198ac6ab [e2e-llm-inference-service] resourceVersion: '75050' [e2e-llm-inference-service] uid: 45a8b8e7-c23f-40a4-9536-554ef617e52c [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.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] insecureSkipVerify: true [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-model-pvc-router-manage-2577e794-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: networking.istio.io/v1alpha3 [e2e-llm-inference-service] kind: DestinationRule [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:06:37Z' [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":"adc3a69e-bccc-429d-b122-d639198ac6ab"}: {} [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: '2026-07-07T16:06:37Z' [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-kserve-workload-svc [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794 [e2e-llm-inference-service] uid: adc3a69e-bccc-429d-b122-d639198ac6ab [e2e-llm-inference-service] resourceVersion: '74732' [e2e-llm-inference-service] uid: b48f487e-40c8-4e3c-87dc-5ef19a6db6e6 [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.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] trafficPolicy: [e2e-llm-inference-service] tls: [e2e-llm-inference-service] caCertificates: /var/run/secrets/kubernetes.io/serviceaccount/service-ca.crt [e2e-llm-inference-service] insecureSkipVerify: false [e2e-llm-inference-service] mode: SIMPLE [e2e-llm-inference-service] sni: llmisvc-model-pvc-router-manage-2577e794-kserve-workload-svc.kserve-ci-e2e-test.svc.cluster.local [e2e-llm-inference-service] [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 apiVersion: inference.networking.x-k8s.io/v1alpha2 [e2e-llm-inference-service] kind: InferencePool [e2e-llm-inference-service] metadata: [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:06:36Z' [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":"adc3a69e-bccc-429d-b122-d639198ac6ab"}: {} [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: '2026-07-07T16:06:36Z' [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794-inference-pool [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] ownerReferences: [e2e-llm-inference-service] - apiVersion: serving.kserve.io/v1alpha2 [e2e-llm-inference-service] blockOwnerDeletion: true [e2e-llm-inference-service] controller: true [e2e-llm-inference-service] kind: LLMInferenceService [e2e-llm-inference-service] name: llmisvc-model-pvc-router-manage-2577e794 [e2e-llm-inference-service] uid: adc3a69e-bccc-429d-b122-d639198ac6ab [e2e-llm-inference-service] resourceVersion: '74703' [e2e-llm-inference-service] uid: d25dcd2e-843a-4ef8-a04b-64270ba659f4 [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:test_llm_inference_service.py:1254 --- [e2e-llm-inference-service] INFO e2e.llmisvc.logging:test_llm_inference_service.py:1255 metadata: [e2e-llm-inference-service] name: llmisvc1dc4269d1ada5f2d28562215d180c57f-kserve-router-schef84w4 [e2e-llm-inference-service] namespace: kserve-ci-e2e-test [e2e-llm-inference-service] creationTimestamp: '2026-07-07T16:21:33Z' [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-2577e794 [e2e-llm-inference-service] app.kubernetes.io/part-of: llminferenceservice [e2e-llm-inference-service] pod-template-hash: 7dbcb75dbc [e2e-llm-inference-service] timestamp: '2026-07-07T16:21:12Z' [e2e-llm-inference-service] window: 13.64s [e2e-llm-inference-service] containers: [e2e-llm-inference-service] - name: main [e2e-llm-inference-service] usage: [e2e-llm-inference-service] cpu: 1405131n [e2e-llm-inference-service] memory: 22956Ki [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] [2026-07-07T16:21:33.509853] end - ❌ 902.603s: Missing true conditions: {'Ready', 'WorkloadsReady'}, expected {'Ready', 'WorkloadsReady', 'RouterReady'}, got [{'lastTransitionTime': '2026-07-07T16:06:56Z', 'severity': 'Info', 'status': 'True', 'type': 'HTTPRoutesReady'}, {'lastTransitionTime': '2026-07-07T16:06:56Z', 'severity': 'Info', 'status': 'True', 'type': 'InferencePoolReady'}, {'lastTransitionTime': '2026-07-07T16:06:39Z', 'severity': 'Info', 'status': 'True', 'type': 'PresetsCombined'}, {'lastTransitionTime': '2026-07-07T16:07:20Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'status': 'False', 'type': 'Ready'}, {'lastTransitionTime': '2026-07-07T16:07:20Z', 'status': 'True', 'type': 'RouterReady'}, {'lastTransitionTime': '2026-07-07T16:07:20Z', 'severity': 'Info', 'status': 'True', 'type': 'SchedulerWorkloadReady'}, {'lastTransitionTime': '2026-07-07T16:06:39Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'severity': 'Info', 'status': 'False', 'type': 'WorkerWorkloadReady'}, {'lastTransitionTime': '2026-07-07T16:06:39Z', 'message': 'LWS is progressing', 'reason': 'Progressing', 'status': 'False', 'type': 'WorkloadsReady'}] [e2e-llm-inference-service] =============================== warnings summary =============================== [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-scheduler-with-precise-prefix-cache-inline-config-workload-llmd-simulator-kvcache] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-with-gateway-ref-router-with-managed-route-model-fb-opt-125m-workload-llmd-simulator] [e2e-llm-inference-service] /workspace/source/python/kserve/.venv/lib64/python3.11/site-packages/pytest_asyncio/plugin.py:761: DeprecationWarning: The event_loop fixture provided by pytest-asyncio has been redefined in [e2e-llm-inference-service] /workspace/source/test/e2e/conftest.py:43 [e2e-llm-inference-service] Replacing the event_loop fixture with a custom implementation is deprecated [e2e-llm-inference-service] and will lead to errors in the future. [e2e-llm-inference-service] If you want to request an asyncio event loop with a scope other than function [e2e-llm-inference-service] scope, use the "scope" argument to the asyncio mark when marking the tests. [e2e-llm-inference-service] If you want to return different types of event loops, use the event_loop_policy [e2e-llm-inference-service] fixture. [e2e-llm-inference-service] [e2e-llm-inference-service] warnings.warn( [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-scheduler-with-precise-prefix-cache-inline-config-workload-llmd-simulator-kvcache] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:245: PytestWarning: The test is marked with '@pytest.mark.asyncio' but it is not an async function. Please remove the asyncio mark. If the test is not marked explicitly, check for global marks applied via 'pytestmark'. [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-llmd-simulator0] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:245: PytestWarning: The test is marked with '@pytest.mark.asyncio' but it is not an async function. Please remove the asyncio mark. If the test is not marked explicitly, check for global marks applied via 'pytestmark'. [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-llmd-simulator1] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:245: PytestWarning: The test is marked with '@pytest.mark.asyncio' but it is not an async function. Please remove the asyncio mark. If the test is not marked explicitly, check for global marks applied via 'pytestmark'. [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-llmd-simulator2] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:245: PytestWarning: The test is marked with '@pytest.mark.asyncio' but it is not an async function. Please remove the asyncio mark. If the test is not marked explicitly, check for global marks applied via 'pytestmark'. [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-with-gateway-ref-router-with-managed-route-model-fb-opt-125m-workload-llmd-simulator] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:245: PytestWarning: The test is marked with '@pytest.mark.asyncio' but it is not an async function. Please remove the asyncio mark. If the test is not marked explicitly, check for global marks applied via 'pytestmark'. [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-single-cpu-model-fb-opt-125m] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:245: PytestWarning: The test is marked with '@pytest.mark.asyncio' but it is not an async function. Please remove the asyncio mark. If the test is not marked explicitly, check for global marks applied via 'pytestmark'. [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-single-cpu-model-fb-opt-125m-with-lora-hf0] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:245: PytestWarning: The test is marked with '@pytest.mark.asyncio' but it is not an async function. Please remove the asyncio mark. If the test is not marked explicitly, check for global marks applied via 'pytestmark'. [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-custom-route-timeout-scheduler-managed-workload-single-cpu-model-fb-opt-125m] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:245: PytestWarning: The test is marked with '@pytest.mark.asyncio' but it is not an async function. Please remove the asyncio mark. If the test is not marked explicitly, check for global marks applied via 'pytestmark'. [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-single-cpu-model-fb-opt-125m-with-lora-hf1] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:245: PytestWarning: The test is marked with '@pytest.mark.asyncio' but it is not an async function. Please remove the asyncio mark. If the test is not marked explicitly, check for global marks applied via 'pytestmark'. [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-with-refs-scheduler-managed-workload-single-cpu-model-fb-opt-125m] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:245: PytestWarning: The test is marked with '@pytest.mark.asyncio' but it is not an async function. Please remove the asyncio mark. If the test is not marked explicitly, check for global marks applied via 'pytestmark'. [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-single-cpu-model-pvc] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:245: PytestWarning: The test is marked with '@pytest.mark.asyncio' but it is not an async function. Please remove the asyncio mark. If the test is not marked explicitly, check for global marks applied via 'pytestmark'. [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-pd-cpu-model-fb-opt-125m] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:245: PytestWarning: The test is marked with '@pytest.mark.asyncio' but it is not an async function. Please remove the asyncio mark. If the test is not marked explicitly, check for global marks applied via 'pytestmark'. [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-pd-cpu-model-pvc] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:245: PytestWarning: The test is marked with '@pytest.mark.asyncio' but it is not an async function. Please remove the asyncio mark. If the test is not marked explicitly, check for global marks applied via 'pytestmark'. [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-custom-route-timeout-pd-scheduler-managed-workload-pd-cpu-model-fb-opt-125m] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:245: PytestWarning: The test is marked with '@pytest.mark.asyncio' but it is not an async function. Please remove the asyncio mark. If the test is not marked explicitly, check for global marks applied via 'pytestmark'. [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_multi_node-router-managed-workload-simulated-dp-ep-cpu-model-pvc] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:245: PytestWarning: The test is marked with '@pytest.mark.asyncio' but it is not an async function. Please remove the asyncio mark. If the test is not marked explicitly, check for global marks applied via 'pytestmark'. [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-with-refs-pd-scheduler-managed-workload-pd-cpu-model-fb-opt-125m] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:245: PytestWarning: The test is marked with '@pytest.mark.asyncio' but it is not an async function. Please remove the asyncio mark. If the test is not marked explicitly, check for global marks applied via 'pytestmark'. [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-no-scheduler-workload-single-cpu-model-fb-opt-125m] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:245: PytestWarning: The test is marked with '@pytest.mark.asyncio' but it is not an async function. Please remove the asyncio mark. If the test is not marked explicitly, check for global marks applied via 'pytestmark'. [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service_stop.py::test_llm_stop_feature[cluster_cpu-cluster_single_node-router-managed-workload-single-cpu-model-fb-opt-125m] [e2e-llm-inference-service] llmisvc/test_llm_inference_service_stop.py:40: PytestWarning: The test is marked with '@pytest.mark.asyncio' but it is not an async function. Please remove the asyncio mark. If the test is not marked explicitly, check for global marks applied via 'pytestmark'. [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_multi_node-router-managed-workload-simulated-dp-ep-cpu-model-fb-opt-125m] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:245: PytestWarning: The test is marked with '@pytest.mark.asyncio' but it is not an async function. Please remove the asyncio mark. If the test is not marked explicitly, check for global marks applied via 'pytestmark'. [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_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:245: PytestWarning: The test is marked with '@pytest.mark.asyncio' but it is not an async function. Please remove the asyncio mark. If the test is not marked explicitly, check for global marks applied via 'pytestmark'. [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-llmd-simulator-model-qwen2.5-0.5b] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:245: PytestWarning: The test is marked with '@pytest.mark.asyncio' but it is not an async function. Please remove the asyncio mark. If the test is not marked explicitly, check for global marks applied via 'pytestmark'. [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-scheduler-with-configmap-ref-workload-llmd-simulator] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:245: PytestWarning: The test is marked with '@pytest.mark.asyncio' but it is not an async function. Please remove the asyncio mark. If the test is not marked explicitly, check for global marks applied via 'pytestmark'. [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-scheduler-with-replicas-workload-llmd-simulator] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:245: PytestWarning: The test is marked with '@pytest.mark.asyncio' but it is not an async function. Please remove the asyncio mark. If the test is not marked explicitly, check for global marks applied via 'pytestmark'. [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_tls.py::test_llm_tls_resources[cluster_cpu-cluster_single_node-router-managed-workload-single-cpu-model-fb-opt-125m] [e2e-llm-inference-service] llmisvc/test_llm_tls.py:93: PytestWarning: The test is marked with '@pytest.mark.asyncio' but it is not an async function. Please remove the asyncio mark. If the test is not marked explicitly, check for global marks applied via 'pytestmark'. [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] [e2e-llm-inference-service] 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:245: PytestWarning: The test is marked with '@pytest.mark.asyncio' but it is not an async function. Please remove the asyncio mark. If the test is not marked explicitly, check for global marks applied via 'pytestmark'. [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-scheduler-v06-pd-config-migration-workload-llmd-simulator-pd] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:245: PytestWarning: The test is marked with '@pytest.mark.asyncio' but it is not an async function. Please remove the asyncio mark. If the test is not marked explicitly, check for global marks applied via 'pytestmark'. [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-scheduler-v06-nonzero-threshold-migration-workload-llmd-simulator-pd] [e2e-llm-inference-service] llmisvc/test_llm_inference_service.py:245: PytestWarning: The test is marked with '@pytest.mark.asyncio' but it is not an async function. Please remove the asyncio mark. If the test is not marked explicitly, check for global marks applied via 'pytestmark'. [e2e-llm-inference-service] @pytest.mark.llminferenceservice [e2e-llm-inference-service] [e2e-llm-inference-service] -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html [e2e-llm-inference-service] ---------- generated xml file: /workspace/artifacts-dir/junit_e2e.xml ---------- [e2e-llm-inference-service] --------------------------------- JSON report ---------------------------------- [e2e-llm-inference-service] report saved to: /workspace/artifacts-dir/e2e_results.json [e2e-llm-inference-service] =========================== short test summary info ============================ [e2e-llm-inference-service] FAILED llmisvc/test_llm_auth.py::test_llm_auth_disabled_no_token_required[cluster_cpu-cluster_single_node-auth-disabled] [e2e-llm-inference-service] FAILED llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-single-cpu-model-fb-opt-125m-with-lora-hf0] [e2e-llm-inference-service] FAILED llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-custom-route-timeout-scheduler-managed-workload-single-cpu-model-fb-opt-125m] [e2e-llm-inference-service] FAILED llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-managed-workload-single-cpu-model-fb-opt-125m-with-lora-hf1] [e2e-llm-inference-service] FAILED llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_single_node-router-custom-route-timeout-pd-scheduler-managed-workload-pd-cpu-model-fb-opt-125m] [e2e-llm-inference-service] FAILED llmisvc/test_llm_inference_service.py::test_llm_inference_service[cluster_cpu-cluster_multi_node-router-managed-workload-simulated-dp-ep-cpu-model-pvc] [e2e-llm-inference-service] !!!!!!!!!!!!!!!!!!!!!!!!!! stopping after 6 failures !!!!!!!!!!!!!!!!!!!!!!!!!!! [e2e-llm-inference-service] !!!!!!!!!!!! xdist.dsession.Interrupted: stopping after 5 failures !!!!!!!!!!!!! [e2e-llm-inference-service] ====== 6 failed, 36 passed, 3 skipped, 29 warnings in 5882.31s (1:38:02) ======= [must-gather] [must-gather ] OUT 2026-07-07T16:47:32.472262415Z Using must-gather plug-in image: quay.io/modh/must-gather:rhoai-2.24 [must-gather] When opening a support case, bugzilla, or issue please include the following summary data along with any other requested information: [must-gather] ClusterID: 7e9fa01a-f0cf-4d11-aadb-376b95329776 [must-gather] ClientVersion: 4.21.10 [must-gather] ClusterVersion: Stable at "4.21.23" [must-gather] ClusterOperators: [must-gather] clusteroperator/authentication is missing [must-gather] clusteroperator/cloud-credential is missing [must-gather] clusteroperator/cluster-autoscaler is missing [must-gather] clusteroperator/config-operator is missing [must-gather] clusteroperator/etcd is missing [must-gather] clusteroperator/machine-api is missing [must-gather] clusteroperator/machine-approver is missing [must-gather] clusteroperator/machine-config is missing [must-gather] clusteroperator/marketplace is missing [must-gather] [must-gather] [must-gather] [must-gather ] OUT 2026-07-07T16:47:32.5292689Z namespace/openshift-must-gather-jm2rj created [must-gather] [must-gather ] OUT 2026-07-07T16:47:32.537100425Z clusterrolebinding.rbac.authorization.k8s.io/must-gather-xhbkk created [must-gather] [must-gather ] OUT 2026-07-07T16:47:32.58466927Z pod for plug-in image quay.io/modh/must-gather:rhoai-2.24 created [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:39.269806470Z [disk usage checker] Started [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:39.273710979Z [disk usage checker] Volume usage percentage: current = 17 ; allowed = 70 [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:39.560196297Z Error from server (NotFound): namespaces "redhat-ods-operator" not found [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:39.728407460Z Wrote inspect data to must-gather. [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:39.728436605Z error: inspection completed with the errors occurred while gathering data: [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:39.728436605Z namespaces "redhat-ods-operator" not found [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:39.731120939Z Error getting logs from redhat-ods-operator [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:39.902989543Z Wrote inspect data to must-gather. [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:39.903018938Z error: inspection completed with the errors occurred while gathering data: [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:39.903018938Z namespaces "redhat-ods-monitoring" not found [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:39.905465835Z Error getting logs from redhat-ods-monitoring [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:40.069913621Z Wrote inspect data to must-gather. [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:40.069942769Z error: inspection completed with the errors occurred while gathering data: [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:40.069942769Z namespaces "redhat-ods-applications" not found [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:40.072321505Z Error getting logs from redhat-ods-applications [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:40.241057440Z Wrote inspect data to must-gather. [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:40.241086173Z error: inspection completed with the errors occurred while gathering data: [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:40.241086173Z namespaces "rhods-notebooks" not found [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:40.243609306Z Error getting logs from rhods-notebooks [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:40.413308787Z Wrote inspect data to must-gather. [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:40.413341916Z error: inspection completed with the errors occurred while gathering data: [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:40.413341916Z namespaces "rhoai-model-registries" not found [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:40.415891163Z Error getting logs from rhoai-model-registries [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:40.584479646Z Wrote inspect data to must-gather. [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:40.584534040Z error: inspection completed with the errors occurred while gathering data: [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:40.584534040Z namespaces "istio-system" not found [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:40.587311257Z Error getting logs from istio-system [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:40.757132005Z Wrote inspect data to must-gather. [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:40.757172824Z error: inspection completed with the errors occurred while gathering data: [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:40.757172824Z namespaces "knative-serving" not found [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:40.760082096Z Error getting logs from knative-serving [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:40.941287213Z Wrote inspect data to must-gather. [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:40.941319063Z error: inspection completed with the errors occurred while gathering data: [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:40.941319063Z namespaces "redhat-ods-applications-auth-provider" not found [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:40.943706149Z Error getting logs from redhat-ods-applications-auth-provider [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:41.237364065Z Wrote inspect data to must-gather. [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:41.528840767Z Wrote inspect data to must-gather. [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:41.673715855Z error: the server doesn't have a resource type "auths" [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:41.759106012Z error: arguments in resource/name form must have a single resource and name [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:41.761524545Z Error collecting info from [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:41.906483940Z error: the server doesn't have a resource type "monitorings" [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:41.988410714Z error: arguments in resource/name form must have a single resource and name [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:41.990681475Z Error collecting info from [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:42.125732125Z error: the server doesn't have a resource type "featuretrackers" [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:42.211037977Z error: arguments in resource/name form must have a single resource and name [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:42.213425726Z Error collecting info from [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:42.347309868Z error: the server doesn't have a resource type "codeflares" [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:42.431199403Z error: arguments in resource/name form must have a single resource and name [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:42.433836299Z Error collecting info from [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:42.575725854Z error: the server doesn't have a resource type "dashboards" [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:42.657123100Z error: arguments in resource/name form must have a single resource and name [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:42.659445496Z Error collecting info from [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:42.805270196Z error: the server doesn't have a resource type "datasciencepipelines" [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:42.888693056Z error: arguments in resource/name form must have a single resource and name [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:42.891238283Z Error collecting info from [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:43.035746129Z error: the server doesn't have a resource type "feastoperators" [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:43.118696968Z error: arguments in resource/name form must have a single resource and name [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:43.121495400Z Error collecting info from [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:43.255108726Z error: the server doesn't have a resource type "kserves" [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:43.338484309Z error: arguments in resource/name form must have a single resource and name [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:43.341018031Z Error collecting info from [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:43.477322495Z error: the server doesn't have a resource type "kueues" [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:43.563272685Z error: arguments in resource/name form must have a single resource and name [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:43.565769141Z Error collecting info from [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:43.698302589Z error: the server doesn't have a resource type "modelcontrollers" [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:43.784736169Z error: arguments in resource/name form must have a single resource and name [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:43.787475173Z Error collecting info from [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:43.931103038Z error: the server doesn't have a resource type "modelmeshservings" [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:44.014868060Z error: arguments in resource/name form must have a single resource and name [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:44.017180965Z Error collecting info from [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:44.154919861Z error: the server doesn't have a resource type "modelregistries" [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:44.238218903Z error: arguments in resource/name form must have a single resource and name [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:44.240667035Z Error collecting info from [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:44.278249315Z [disk usage checker] Volume usage percentage: current = 17 ; allowed = 70 [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:44.381220820Z error: the server doesn't have a resource type "rays" [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:44.466308635Z error: arguments in resource/name form must have a single resource and name [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:44.468868413Z Error collecting info from [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:44.607849392Z error: the server doesn't have a resource type "trainingoperators" [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:44.687598745Z error: arguments in resource/name form must have a single resource and name [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:44.689885754Z Error collecting info from [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:44.827800543Z error: the server doesn't have a resource type "trustyais" [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:44.910721204Z error: arguments in resource/name form must have a single resource and name [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:44.913156756Z Error collecting info from [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:45.052855899Z error: the server doesn't have a resource type "workbenches" [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:45.139632824Z error: arguments in resource/name form must have a single resource and name [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:45.142060181Z Error collecting info from [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:45.277953010Z error: the server doesn't have a resource type "hardwareprofiles" [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:45.360414707Z error: arguments in resource/name form must have a single resource and name [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:45.362760094Z Error collecting info from [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:45.504103876Z error: the server doesn't have a resource type "llamastackoperators" [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:45.591597610Z error: arguments in resource/name form must have a single resource and name [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:45.594949116Z Error collecting info from [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:46.329124365Z error: the server doesn't have a resource type "predictors" [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:46.467014711Z error: the server doesn't have a resource type "localmodelnodegroups" [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:46.612697810Z error: the server doesn't have a resource type "smcp" [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:46.744844815Z error: the server doesn't have a resource type "smm" [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:46.878774699Z error: the server doesn't have a resource type "smmr" [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:47.524741871Z error: the server doesn't have a resource type "knativeservings" [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:47.659495165Z error: the server doesn't have a resource type "configurations" [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:47.794828408Z error: the server doesn't have a resource type "routes" [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:47.936062654Z error: the server doesn't have a resource type "services" [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:48.069188346Z error: the server doesn't have a resource type "revisions" [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:48.643924995Z Gathering data for ns/kserve-ci-e2e-test... [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:49.282706510Z [disk usage checker] Volume usage percentage: current = 17 ; allowed = 70 [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:50.282213238Z Warning: apps.openshift.io/v1 DeploymentConfig is deprecated in v4.14+, unavailable in v4.10000+ [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:51.144899602Z Warning: v1 Endpoints is deprecated in v1.33+; use discovery.k8s.io/v1 EndpointSlice [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:51.538218128Z Wrote inspect data to must-gather. [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:51.538263121Z error: inspection completed with the errors occurred while gathering data: [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:51.538263121Z one or more errors occurred while gathering pod-specific data for namespace: kserve-ci-e2e-test [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:51.538263121Z [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:51.538263121Z [one or more errors occurred while gathering container data for pod llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0: [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:51.538263121Z [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:51.538263121Z [previous terminated container "main" in pod "llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0" not found, container "main" in pod "llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0" is waiting to start: ContainerCreating], one or more errors occurred while gathering container data for pod llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0-1: [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:51.538263121Z [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:51.538263121Z [previous terminated container "main" in pod "llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0-1" not found, container "main" in pod "llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0-1" is waiting to start: ContainerCreating]] [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:51.543690670Z Error inspecting namespace/kserve-ci-e2e-test [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:51.708814479Z Gathering data for ns/kserve-ci-e2e-test... [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:53.205174662Z Warning: apps.openshift.io/v1 DeploymentConfig is deprecated in v4.14+, unavailable in v4.10000+ [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:54.059821948Z Warning: v1 Endpoints is deprecated in v1.33+; use discovery.k8s.io/v1 EndpointSlice [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:54.287191870Z [disk usage checker] Volume usage percentage: current = 17 ; allowed = 70 [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:54.468949421Z Wrote inspect data to must-gather. [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:54.468991792Z error: inspection completed with the errors occurred while gathering data: [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:54.468991792Z one or more errors occurred while gathering pod-specific data for namespace: kserve-ci-e2e-test [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:54.468991792Z [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:54.468991792Z [one or more errors occurred while gathering container data for pod llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0: [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:54.468991792Z [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:54.468991792Z [previous terminated container "main" in pod "llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0" not found, container "main" in pod "llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0" is waiting to start: ContainerCreating], one or more errors occurred while gathering container data for pod llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0-1: [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:54.468991792Z [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:54.468991792Z [container "main" in pod "llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0-1" is waiting to start: ContainerCreating, previous terminated container "main" in pod "llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0-1" not found]] [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:54.474811893Z Error inspecting namespace/kserve-ci-e2e-test [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:54.641900308Z Gathering data for ns/kserve-ci-e2e-test... [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:56.063412625Z Warning: apps.openshift.io/v1 DeploymentConfig is deprecated in v4.14+, unavailable in v4.10000+ [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:56.896658430Z Warning: v1 Endpoints is deprecated in v1.33+; use discovery.k8s.io/v1 EndpointSlice [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:57.269034856Z Wrote inspect data to must-gather. [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:57.269070513Z error: inspection completed with the errors occurred while gathering data: [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:57.269070513Z one or more errors occurred while gathering pod-specific data for namespace: kserve-ci-e2e-test [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:57.269070513Z [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:57.269070513Z [one or more errors occurred while gathering container data for pod llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0: [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:57.269070513Z [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:57.269070513Z [previous terminated container "main" in pod "llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0" not found, container "main" in pod "llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0" is waiting to start: ContainerCreating], one or more errors occurred while gathering container data for pod llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0-1: [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:57.269070513Z [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:57.269070513Z [previous terminated container "main" in pod "llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0-1" not found, container "main" in pod "llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0-1" is waiting to start: ContainerCreating]] [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:57.274537800Z Error inspecting namespace/kserve-ci-e2e-test [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:57.443231171Z Gathering data for ns/kserve-ci-e2e-test... [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:58.915792507Z Warning: apps.openshift.io/v1 DeploymentConfig is deprecated in v4.14+, unavailable in v4.10000+ [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:59.294620809Z [disk usage checker] Volume usage percentage: current = 16 ; allowed = 70 [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:47:59.778406381Z Warning: v1 Endpoints is deprecated in v1.33+; use discovery.k8s.io/v1 EndpointSlice [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:00.172750479Z Wrote inspect data to must-gather. [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:00.172792919Z error: inspection completed with the errors occurred while gathering data: [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:00.172792919Z one or more errors occurred while gathering pod-specific data for namespace: kserve-ci-e2e-test [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:00.172792919Z [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:00.172792919Z [one or more errors occurred while gathering container data for pod llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0: [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:00.172792919Z [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:00.172792919Z [container "main" in pod "llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0" is waiting to start: ContainerCreating, previous terminated container "main" in pod "llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0" not found], one or more errors occurred while gathering container data for pod llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0-1: [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:00.172792919Z [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:00.172792919Z [previous terminated container "main" in pod "llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0-1" not found, container "main" in pod "llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0-1" is waiting to start: ContainerCreating]] [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:00.178147322Z Error inspecting namespace/kserve-ci-e2e-test [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:00.347673868Z Gathering data for ns/kserve-ci-e2e-test... [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:01.904707319Z Warning: apps.openshift.io/v1 DeploymentConfig is deprecated in v4.14+, unavailable in v4.10000+ [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:02.797537968Z Warning: v1 Endpoints is deprecated in v1.33+; use discovery.k8s.io/v1 EndpointSlice [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:03.172348548Z Wrote inspect data to must-gather. [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:03.172392209Z error: inspection completed with the errors occurred while gathering data: [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:03.172392209Z one or more errors occurred while gathering pod-specific data for namespace: kserve-ci-e2e-test [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:03.172392209Z [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:03.172392209Z [one or more errors occurred while gathering container data for pod llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0: [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:03.172392209Z [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:03.172392209Z [container "main" in pod "llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0" is waiting to start: ContainerCreating, previous terminated container "main" in pod "llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0" not found], one or more errors occurred while gathering container data for pod llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0-1: [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:03.172392209Z [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:03.172392209Z [previous terminated container "main" in pod "llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0-1" not found, container "main" in pod "llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0-1" is waiting to start: ContainerCreating]] [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:03.177972220Z Error inspecting namespace/kserve-ci-e2e-test [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:03.344159967Z Gathering data for ns/kserve-ci-e2e-test... [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:04.299365562Z [disk usage checker] Volume usage percentage: current = 16 ; allowed = 70 [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:04.965458300Z Warning: apps.openshift.io/v1 DeploymentConfig is deprecated in v4.14+, unavailable in v4.10000+ [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:05.823599975Z Warning: v1 Endpoints is deprecated in v1.33+; use discovery.k8s.io/v1 EndpointSlice [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:06.225614366Z Wrote inspect data to must-gather. [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:06.225657836Z error: inspection completed with the errors occurred while gathering data: [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:06.225657836Z one or more errors occurred while gathering pod-specific data for namespace: kserve-ci-e2e-test [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:06.225657836Z [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:06.225657836Z [one or more errors occurred while gathering container data for pod llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0: [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:06.225657836Z [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:06.225657836Z [container "main" in pod "llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0" is waiting to start: ContainerCreating, previous terminated container "main" in pod "llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0" not found], one or more errors occurred while gathering container data for pod llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0-1: [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:06.225657836Z [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:06.225657836Z [container "main" in pod "llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0-1" is waiting to start: ContainerCreating, previous terminated container "main" in pod "llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0-1" not found]] [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:06.231728038Z Error inspecting namespace/kserve-ci-e2e-test [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:06.400801620Z Gathering data for ns/kserve-ci-e2e-test... [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:07.903680994Z Warning: apps.openshift.io/v1 DeploymentConfig is deprecated in v4.14+, unavailable in v4.10000+ [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:08.713895920Z Warning: v1 Endpoints is deprecated in v1.33+; use discovery.k8s.io/v1 EndpointSlice [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:09.100928064Z Wrote inspect data to must-gather. [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:09.100971770Z error: inspection completed with the errors occurred while gathering data: [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:09.100971770Z one or more errors occurred while gathering pod-specific data for namespace: kserve-ci-e2e-test [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:09.100971770Z [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:09.100971770Z [one or more errors occurred while gathering container data for pod llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0: [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:09.100971770Z [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:09.100971770Z [container "main" in pod "llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0" is waiting to start: ContainerCreating, previous terminated container "main" in pod "llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0" not found], one or more errors occurred while gathering container data for pod llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0-1: [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:09.100971770Z [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:09.100971770Z [container "main" in pod "llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0-1" is waiting to start: ContainerCreating, previous terminated container "main" in pod "llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0-1" not found]] [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:09.106176130Z Error inspecting namespace/kserve-ci-e2e-test [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:09.269320569Z Gathering data for ns/kserve-ci-e2e-test... [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:09.305268418Z [disk usage checker] Volume usage percentage: current = 16 ; allowed = 70 [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:10.876051242Z Warning: apps.openshift.io/v1 DeploymentConfig is deprecated in v4.14+, unavailable in v4.10000+ [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:11.700028054Z Warning: v1 Endpoints is deprecated in v1.33+; use discovery.k8s.io/v1 EndpointSlice [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:12.098020400Z Wrote inspect data to must-gather. [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:12.098061093Z error: inspection completed with the errors occurred while gathering data: [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:12.098061093Z one or more errors occurred while gathering pod-specific data for namespace: kserve-ci-e2e-test [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:12.098061093Z [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:12.098061093Z [one or more errors occurred while gathering container data for pod llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0: [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:12.098061093Z [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:12.098061093Z [previous terminated container "main" in pod "llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0" not found, container "main" in pod "llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0" is waiting to start: ContainerCreating], one or more errors occurred while gathering container data for pod llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0-1: [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:12.098061093Z [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:12.098061093Z [container "main" in pod "llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0-1" is waiting to start: ContainerCreating, previous terminated container "main" in pod "llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0-1" not found]] [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:12.103350487Z Error inspecting namespace/kserve-ci-e2e-test [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:12.272828202Z Gathering data for ns/kserve-ci-e2e-test... [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:14.018388690Z Warning: apps.openshift.io/v1 DeploymentConfig is deprecated in v4.14+, unavailable in v4.10000+ [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:14.310025614Z [disk usage checker] Volume usage percentage: current = 16 ; allowed = 70 [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:14.859933556Z Warning: v1 Endpoints is deprecated in v1.33+; use discovery.k8s.io/v1 EndpointSlice [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:15.230124754Z Wrote inspect data to must-gather. [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:15.230184797Z error: inspection completed with the errors occurred while gathering data: [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:15.230184797Z one or more errors occurred while gathering pod-specific data for namespace: kserve-ci-e2e-test [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:15.230184797Z [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:15.230184797Z [one or more errors occurred while gathering container data for pod llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0: [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:15.230184797Z [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:15.230184797Z [previous terminated container "main" in pod "llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0" not found, container "main" in pod "llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0" is waiting to start: ContainerCreating], one or more errors occurred while gathering container data for pod llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0-1: [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:15.230184797Z [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:15.230184797Z [previous terminated container "main" in pod "llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0-1" not found, container "main" in pod "llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0-1" is waiting to start: ContainerCreating]] [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:15.236241552Z Error inspecting namespace/kserve-ci-e2e-test [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:15.406611571Z Gathering data for ns/kserve-ci-e2e-test... [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:16.851159462Z Warning: apps.openshift.io/v1 DeploymentConfig is deprecated in v4.14+, unavailable in v4.10000+ [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:17.717000277Z Warning: v1 Endpoints is deprecated in v1.33+; use discovery.k8s.io/v1 EndpointSlice [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:18.096581371Z Wrote inspect data to must-gather. [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:18.096625995Z error: inspection completed with the errors occurred while gathering data: [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:18.096625995Z one or more errors occurred while gathering pod-specific data for namespace: kserve-ci-e2e-test [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:18.096625995Z [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:18.096625995Z [one or more errors occurred while gathering container data for pod llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0: [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:18.096625995Z [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:18.096625995Z [previous terminated container "main" in pod "llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0" not found, container "main" in pod "llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0" is waiting to start: ContainerCreating], one or more errors occurred while gathering container data for pod llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0-1: [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:18.096625995Z [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:18.096625995Z [container "main" in pod "llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0-1" is waiting to start: ContainerCreating, previous terminated container "main" in pod "llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0-1" not found]] [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:18.102184910Z Error inspecting namespace/kserve-ci-e2e-test [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:18.278169852Z Gathering data for ns/kserve-ci-e2e-test... [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:19.314472953Z [disk usage checker] Volume usage percentage: current = 16 ; allowed = 70 [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:19.608096890Z Warning: apps.openshift.io/v1 DeploymentConfig is deprecated in v4.14+, unavailable in v4.10000+ [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:20.429630851Z Warning: v1 Endpoints is deprecated in v1.33+; use discovery.k8s.io/v1 EndpointSlice [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:20.830005606Z Wrote inspect data to must-gather. [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:20.830048627Z error: inspection completed with the errors occurred while gathering data: [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:20.830048627Z one or more errors occurred while gathering pod-specific data for namespace: kserve-ci-e2e-test [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:20.830048627Z [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:20.830048627Z [one or more errors occurred while gathering container data for pod llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0: [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:20.830048627Z [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:20.830048627Z [container "main" in pod "llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0" is waiting to start: ContainerCreating, previous terminated container "main" in pod "llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0" not found], one or more errors occurred while gathering container data for pod llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0-1: [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:20.830048627Z [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:20.830048627Z [previous terminated container "main" in pod "llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0-1" not found, container "main" in pod "llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0-1" is waiting to start: ContainerCreating]] [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:20.835575736Z Error inspecting namespace/kserve-ci-e2e-test [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:21.002285424Z Gathering data for ns/kserve-ci-e2e-test... [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:22.383347688Z Warning: apps.openshift.io/v1 DeploymentConfig is deprecated in v4.14+, unavailable in v4.10000+ [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:23.206254607Z Warning: v1 Endpoints is deprecated in v1.33+; use discovery.k8s.io/v1 EndpointSlice [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:23.627444971Z Wrote inspect data to must-gather. [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:23.627557076Z error: inspection completed with the errors occurred while gathering data: [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:23.627557076Z one or more errors occurred while gathering pod-specific data for namespace: kserve-ci-e2e-test [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:23.627557076Z [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:23.627557076Z [one or more errors occurred while gathering container data for pod llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0: [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:23.627557076Z [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:23.627557076Z [previous terminated container "main" in pod "llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0" not found, container "main" in pod "llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0" is waiting to start: ContainerCreating], one or more errors occurred while gathering container data for pod llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0-1: [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:23.627557076Z [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:23.627557076Z [container "main" in pod "llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0-1" is waiting to start: ContainerCreating, previous terminated container "main" in pod "llmisvc-model-pvc-router-manage-2577e794-kserve-mn-0-1" not found]] [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:23.633820910Z Error inspecting namespace/kserve-ci-e2e-test [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:23.793867305Z Gathering data for ns/kserve-ci-e2e-test... [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:24.319312941Z [disk usage checker] Volume usage percentage: current = 16 ; allowed = 70 [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:25.271082925Z Warning: apps.openshift.io/v1 DeploymentConfig is deprecated in v4.14+, unavailable in v4.10000+ [must-gather] [must-gather-7fmlv] POD 2026-07-07T16:48:25.741176579Z Terminated [must-gather] [must-gather-7fmlv] OUT 2026-07-07T16:48:35.930009514Z gather logs unavailable: Get "https://10.0.129.17:10250/containerLogs/openshift-must-gather-jm2rj/must-gather-7fmlv/gather?follow=true&sinceSeconds=2×tamps=true": net/http: TLS handshake timeout [must-gather] [must-gather-7fmlv] OUT 2026-07-07T16:48:35.930534298Z waiting for gather to complete [must-gather] [must-gather-7fmlv] OUT 2026-07-07T16:51:05.938476012Z gather never finished: pods "must-gather-7fmlv" not found [must-gather] [must-gather ] OUT 2026-07-07T16:51:05.946474172Z namespace/openshift-must-gather-jm2rj deleted [must-gather] [must-gather] [must-gather] Reprinting Cluster State: [must-gather] When opening a support case, bugzilla, or issue please include the following summary data along with any other requested information: [must-gather] ClusterID: 7e9fa01a-f0cf-4d11-aadb-376b95329776 [must-gather] ClientVersion: 4.21.10 [must-gather] ClusterVersion: Stable at "4.21.23" [must-gather] ClusterOperators: [must-gather] clusteroperator/dns is not available (DNS "default" is unavailable.) because DNS default is degraded [must-gather] clusteroperator/image-registry is not available (Available: The deployment does not have available replicas [must-gather] NodeCADaemonAvailable: The daemon set node-ca does not have available replicas [must-gather] ImagePrunerAvailable: Pruner CronJob has been created) because [must-gather] clusteroperator/ingress is not available (The "default" ingress controller reports Available=False: IngressControllerUnavailable: One or more status conditions indicate unavailable: DeploymentAvailable=False (DeploymentUnavailable: The deployment has Available status condition set to False (reason: MinimumReplicasUnavailable) with message: Deployment does not have minimum availability.)) because The "default" ingress controller reports Degraded=True: DegradedConditions: One or more other status conditions indicate a degraded state: DeploymentAvailable=False (DeploymentUnavailable: The deployment has Available status condition set to False (reason: MinimumReplicasUnavailable) with message: Deployment does not have minimum availability.), DeploymentReplicasMinAvailable=False (DeploymentMinimumReplicasNotMet: 0/1 of replicas are available, max unavailable is 0: Some pods are not scheduled: Pod "router-default-6678cd575c-fsnr6" cannot be scheduled: 0/1 nodes are available: 1 node(s) had untolerated taint(s). no new claims to deallocate, preemption: 0/1 nodes are available: 1 Preemption is not helpful for scheduling. Make sure you have sufficient worker nodes.). [must-gather] clusteroperator/network is progressing: DaemonSet "/openshift-ovn-kubernetes/ovnkube-node" is not available (awaiting 1 nodes) [must-gather] DaemonSet "/openshift-network-operator/iptables-alerter" is not available (awaiting 1 nodes) [must-gather] DaemonSet "/openshift-multus/multus" is not available (awaiting 1 nodes) [must-gather] DaemonSet "/openshift-multus/multus-additional-cni-plugins" is not available (awaiting 1 nodes) [must-gather] DaemonSet "/openshift-multus/network-metrics-daemon" is not available (awaiting 1 nodes) [must-gather] Deployment "/openshift-network-console/networking-console-plugin" is not available (awaiting 1 nodes) [must-gather] clusteroperator/node-tuning is not available (DaemonSet "tuned" has no available Pod(s)) because DaemonSet "tuned" available [must-gather] clusteroperator/storage is not available (AWSEBSCSIDriverOperatorCRAvailable: AWSEBSDriverNodeServiceControllerAvailable: Waiting for the DaemonSet to deploy the CSI Node Service) because AWSEBSCSIDriverOperatorCRDegraded: All is well [must-gather] clusteroperator/authentication is missing [must-gather] clusteroperator/cloud-credential is missing [must-gather] clusteroperator/cluster-autoscaler is missing [must-gather] clusteroperator/config-operator is missing [must-gather] clusteroperator/etcd is missing [must-gather] clusteroperator/machine-api is missing [must-gather] clusteroperator/machine-approver is missing [must-gather] clusteroperator/machine-config is missing [must-gather] clusteroperator/marketplace is missing [must-gather] error: gather never finished for pod must-gather-7fmlv: pods "must-gather-7fmlv" not found [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-4s9ng [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-4s9ng-e2e-llm-inference-service [git-push-artifacts] PIPELINERUN_NAME=kserve-group-test-4s9ng [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 195261 Jul 7 16:51 /workspace/odh-ci-artifacts/test-artifacts/kserve-group-test-4s9ng/e2e-llm-inference-service.tar.gz [git-push-artifacts] [ci-artifacts 81a6c14] 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-4s9ng/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] d4233e3..81a6c14 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":"2026-07-07T16:51:12.441Z","type":3}]