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fix: update vllm cpu image#507

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adolfo-ab merged 1 commit intoopendatahub-io:mainfrom
adolfo-ab:update-vllm-cpu-img
Aug 11, 2025
Merged

fix: update vllm cpu image#507
adolfo-ab merged 1 commit intoopendatahub-io:mainfrom
adolfo-ab:update-vllm-cpu-img

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update vllm cpu image and increase LMEval copy pod timeout

Description

Previous image was 1 year old, and with the upcoming GuardrailsOrchestrator updates we need the latest one for our tests to work.

Also use this PR to increase timeout in one of LMEval fixtures, that timed out in some test envs.

How Has This Been Tested?

Running the tests against a working cluster

Merge criteria:

  • The commits are squashed in a cohesive manner and have meaningful messages.
  • Testing instructions have been added in the PR body (for PRs involving changes that are not immediately obvious).
  • The developer has manually tested the changes and verified that the changes work

@adolfo-ab adolfo-ab requested a review from a team as a code owner August 11, 2025 08:40
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coderabbitai bot commented Aug 11, 2025

📝 Walkthrough

Summary by CodeRabbit

  • Tests
    • Updated the VLLM runtime image reference in the test environment to a new digest for consistency and reproducibility.
    • Introduced a 10-minute timeout when waiting for pod completion in model evaluation tests to prevent indefinite waits and improve test reliability.
    • No impact on product functionality or user-facing behavior; these changes enhance test stability and CI robustness without altering public interfaces.

Walkthrough

Updates test fixtures: one replaces a VLLM runtime image SHA256 digest; another adds a 600-second timeout to Pod.wait_for_status calls in lmeval MinIO copy pod fixtures.

Changes

Cohort / File(s) Summary of edits
VLLM runtime image digest update
tests/model_explainability/conftest.py
Replaced the sha256 digest in the vllm_runtime fixture; runtime_image string and other parameters unchanged.
LM Eval pod wait timeout
tests/model_explainability/lm_eval/conftest.py
Added timeout=600 to two Pod.wait_for_status(status=SUCCEEDED) calls in lmeval_minio_copy_pod fixtures.

Estimated code review effort

🎯 1 (Trivial) | ⏱️ ~3 minutes

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@adolfo-ab
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/verified

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Actionable comments posted: 0

🧹 Nitpick comments (1)
tests/model_explainability/lm_eval/conftest.py (1)

385-386: Good call adding an explicit timeout; suggest centralizing the value for consistency

600s is reasonable, but elsewhere in this file you use Timeout constants. Prefer a shared constant (either an existing Timeout.* or a local module constant) to avoid magic numbers and ease tuning across environments.

Apply this minimal change:

-        pod.wait_for_status(status=Pod.Status.SUCCEEDED, timeout=600)
+        pod.wait_for_status(status=Pod.Status.SUCCEEDED, timeout=LMEVAL_COPY_POD_TIMEOUT)

And add near the other module-level constants:

LMEVAL_COPY_POD_TIMEOUT: int = 600
📜 Review details

Configuration used: .coderabbit.yaml
Review profile: CHILL
Plan: Pro

📥 Commits

Reviewing files that changed from the base of the PR and between 81acc85 and 44d4498.

📒 Files selected for processing (2)
  • tests/model_explainability/conftest.py (1 hunks)
  • tests/model_explainability/lm_eval/conftest.py (1 hunks)
🧰 Additional context used
🧠 Learnings (1)
📓 Common learnings
Learnt from: adolfo-ab
PR: opendatahub-io/opendatahub-tests#334
File: tests/model_explainability/trustyai_service/test_trustyai_service.py:52-65
Timestamp: 2025-06-05T10:05:17.642Z
Learning: For TrustyAI image validation tests: operator image tests require admin_client, related_images_refs, and trustyai_operator_configmap fixtures, while service image tests would require different fixtures like trustyai_service_with_pvc_storage, model_namespace, and current_client_token.
🔇 Additional comments (1)
tests/model_explainability/conftest.py (1)

164-165: Unable to verify vLLM CPU image digest in this environment — please manually confirm pullability

The updated digest (sha256:ada6b3ba98829eb81ae4f89364d9b431c0222671eafb9a04aa16f31628536af2) looks correct, but registry tools aren’t available here. To avoid CI or runtime failures, please run on a machine with appropriate tooling:

# Using skopeo (recommended)
skopeo inspect docker://quay.io/rh-aiservices-bu/vllm-cpu-openai-ubi9@sha256:ada6b3ba98829eb81ae4f89364d9b431c0222671eafb9a04aa16f31628536af2 | jq '.Digest, .Name'

# Or with podman
podman manifest inspect quay.io/rh-aiservices-bu/vllm-cpu-openai-ubi9@sha256:ada6b3ba98829eb81ae4f89364d9b431c0222671eafb9a04aa16f31628536af2 | jq '.schemaVersion, .mediaType'

Ensure each command returns the expected digest/schemaVersion to confirm the image is available in your target cluster.

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/lgtm

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@rhods-ci-bot rhods-ci-bot added the Verified Verified pr in Jenkins label Aug 11, 2025
@adolfo-ab adolfo-ab changed the title fix: upadte vllm cpu image fix: update vllm cpu image Aug 11, 2025
@adolfo-ab adolfo-ab merged commit 016ff94 into opendatahub-io:main Aug 11, 2025
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/cherry-pick 2.23

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Status of building tag latest: success.
Status of pushing tag latest to image registry: success.

rhods-ci-bot pushed a commit that referenced this pull request Aug 11, 2025
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Cherry pick action created PR #509 successfully 🎉!
See: https://github.com/opendatahub-io/opendatahub-tests/actions/runs/16877738627

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4 participants