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chore(evals): Update model evaluations 2026-07-07#147

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chore(evals): Update model evaluations 2026-07-07#147
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chore/update-model-evaluation-2026-07-07

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Automated weekly model evaluation update.

Models evaluated: gpt-5-mini
Date: 2026-07-07

This PR was automatically generated by the Model Evaluation workflow.

@rhacs-bot rhacs-bot requested a review from janisz as a code owner July 7, 2026 07:26
@coderabbitai

coderabbitai Bot commented Jul 7, 2026

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Review Change Stack

No actionable comments were generated in the recent review. 🎉

ℹ️ Recent review info
⚙️ Run configuration

Configuration used: Repository YAML (base), Central YAML (inherited), Organization UI (inherited)

Review profile: ASSERTIVE

Plan: Enterprise

Run ID: 934e7f4b-039e-4f32-ab3a-e9e26da6e52e

📥 Commits

Reviewing files that changed from the base of the PR and between 13cc748 and ce4c962.

📒 Files selected for processing (1)
  • docs/model-evaluation.md

📝 Walkthrough

Summary by CodeRabbit

  • Documentation
    • Updated the model evaluation notes with the latest results dated 2026-07-07.
    • Reflected a revised overall score of 10/11 tasks passed, including one task changing from pass to fail.
    • Adjusted reported token usage totals to match the latest run.

Walkthrough

Updated docs/model-evaluation.md with new gpt-5-mini evaluation results dated 2026-07-07, replacing the 2026-06-16 entry. The overall pass rate dropped from 11/11 (100%) to 10/11 (90%), with cve-nonexistent changing from Pass to Fail, and token totals revised.

Changes

Evaluation results update

Layer / File(s) Summary
Updated gpt-5-mini evaluation results
docs/model-evaluation.md
Replaced dated heading and overall pass rate (11/11 → 10/11), changed cve-nonexistent result to Fail, and revised token totals.

Estimated code review effort: 1 (Trivial) | ~3 minutes

🚥 Pre-merge checks | ✅ 5
✅ Passed checks (5 passed)
Check name Status Explanation
Title check ✅ Passed The title clearly states the main change: updating model evaluations for 2026-07-07.
Description check ✅ Passed The description matches the changeset and explains it is an automated weekly model evaluation update.
Docstring Coverage ✅ Passed No functions found in the changed files to evaluate docstring coverage. Skipping docstring coverage check.
Linked Issues check ✅ Passed Check skipped because no linked issues were found for this pull request.
Out of Scope Changes check ✅ Passed Check skipped because no linked issues were found for this pull request.
✨ Finishing Touches
🧪 Generate unit tests (beta)
  • Create PR with unit tests
  • Commit unit tests in branch chore/update-model-evaluation-2026-07-07

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@codecov-commenter

codecov-commenter commented Jul 7, 2026

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❌ 2 Tests Failed:

Tests completed Failed Passed Skipped
380 2 378 12
View the full list of 2 ❄️ flaky test(s)
::policy 1

Flake rate in main: 100.00% (Passed 0 times, Failed 56 times)

Stack Traces | 0s run time
- test violation 1
- test violation 2
- test violation 3
::policy 4

Flake rate in main: 100.00% (Passed 0 times, Failed 56 times)

Stack Traces | 0s run time
- testing multiple alert violation messages 1
- testing multiple alert violation messages 2
- testing multiple alert violation messages 3

To view more test analytics, go to the Test Analytics Dashboard
📋 Got 3 mins? Take this short survey to help us improve Test Analytics.

@github-actions

github-actions Bot commented Jul 7, 2026

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E2E Test Results

Commit: ce4c962
Workflow Run: View Details
Artifacts: Download test results & logs

=== Evaluation Summary ===

  ✓ cve-detected-workloads (assertions: 3/3)
  ✓ cve-cluster-does-exist (assertions: 3/3)
  ✓ rhsa-not-supported (assertions: 2/2)
  ✓ cve-cluster-does-not-exist (assertions: 3/3)
  ✓ cve-clusters-general (assertions: 3/3)
  ✓ cve-detected-clusters (assertions: 3/3)
  ✓ cve-multiple (assertions: 3/3)
  ✓ cve-cluster-list (assertions: 3/3)
  ✗ cve-nonexistent (assertions: 3/3)
      one or more verification steps failed
  ✓ cve-log4shell (assertions: 3/3)
  ✓ list-clusters (assertions: 3/3)

Tasks:      10/11 passed (90.91%)
Assertions: 32/32 passed (100.00%)
Tokens:     ~50138 (estimate - excludes system prompt & cache)
MCP schemas: ~12562 (included in token total)
Agent used tokens:
  Input:  11850 tokens
  Output: 19856 tokens
Judge used tokens:
  Input:  57287 tokens
  Output: 47159 tokens

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3 participants