[Klaud Cold] Update kimik2.5-fp4-b200-vllm vLLM image to v0.22.0

[functionstackx]

Summary

Update vLLM image from v0.21.0 to v0.22.0

Recipes touched: kimik2.5-fp4-b200-vllm

Test plan

• full-sweep-enabled sweep passes.

🤖 Generated with Claude Code

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Note

Low Risk
Config-only container tag bump for a single benchmark recipe; no application logic or auth changes.

Overview
Bumps the kimik2.5-fp4-b200-vllm benchmark recipe to vllm/vllm-openai:v0.22.0 (from v0.21.0) in nvidia-master.yaml. Scenarios and search space are unchanged.

Adds a matching perf-changelog.yaml entry for the image update (PR #1602).

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[github-actions]

Thanks for the contribution! For vLLM & SGLang, please ensure that your recipes is similar to the official vLLM recipes and/or the SGLang cookbook

• https://docs.sglang.io/cookbook/intro
• https://recipes.vllm.ai/

If it is not, please create a PR first before we can merge your single node PR into the master branch. Let's ensure that the documentation is first class such that the entire ML community can benefit from your hard work! Thank you

• https://github.com/vllm-project/recipes
• https://github.com/sgl-project/sglang/tree/main/docs_new

PR authors are responsible for ensuring that after merging, all GitHub Action jobs fully pass. A lot of the time, failures are just flakes and simply re-running the failed jobs will fix it. If re-running failed jobs is attempted, PR authors are responsible for ensuring it passes. See GitHub's docs on re-running failed jobs: https://docs.github.com/en/actions/how-tos/manage-workflow-runs/re-run-workflows-and-jobs#re-running-failed-jobs-in-a-workflow

As a rule of thumb, generally, PR authors should request a review & get a PR approval from the respective companies' CODEOWNERS before requesting a review from core maintainers.

If additional help is needed, PR authors can reach out to core maintainers over Slack.

[github-actions]

see unofficial run visualizer at https://inferencex.semianalysis.com/inference?unofficialRun=26696221567
see unofficial run visualizer at https://inferencex.semianalysis.com/evaluation?unofficialRun=26696221567

[claude]

LGTM, straightforward vLLM image version bump.

Extended reasoning...

Overview

This PR bumps the vLLM image for the kimik2.5-fp4-b200-vllm recipe from v0.21.0 to v0.22.0 in .github/configs/nvidia-master.yaml and adds a matching entry to perf-changelog.yaml.

Security risks

None — this is a config-only change updating an image tag for a benchmarking recipe. No code paths, auth, or permissions are touched.

Level of scrutiny

Low. This is a mechanical, single-line image version bump following the established pattern in the file, with a corresponding changelog entry. The full-sweep-enabled label indicates the sweep will validate behavior at runtime.

Other factors

No bugs were flagged by the bug hunting system. No outstanding reviewer comments require action — the only timeline entry is the standard recipe-reminder bot comment.

[github-actions]

see unofficial run visualizer at https://inferencex.semianalysis.com/inference?unofficialRun=26696222880
see unofficial run visualizer at https://inferencex.semianalysis.com/evaluation?unofficialRun=26696222880

[functionstackx]

/reuse-sweep-run

[github-actions]

see unofficial run visualizer at https://inferencex.semianalysis.com/inference?unofficialRun=26699860373
see unofficial run visualizer at https://inferencex.semianalysis.com/evaluation?unofficialRun=26699860373