Skip to content

ci: use cross-environment llm judge model - #1851

Merged
radu-mocanu merged 1 commit into
mainfrom
fix/llm-judge-cross-environment-model
Aug 10, 2026
Merged

ci: use cross-environment llm judge model#1851
radu-mocanu merged 1 commit into
mainfrom
fix/llm-judge-cross-environment-model

Conversation

@radu-mocanu

Copy link
Copy Markdown
Collaborator

Summary

  • keep LLM judge integration coverage reliable across alpha, cloud, and staging
  • retain the full calculator evaluation matrix across all environments

Why

The pinned GPT model began returning malformed tool arguments in alpha and staging while cloud remained healthy. The generic fixture now uses the Sonnet 4.5 model that passes in the same cross-environment jobs.

Copilot AI lite review requested due to automatic review settings August 10, 2026 09:49

Copilot AI left a comment

Copy link
Copy Markdown
Contributor

Choose a reason for hiding this comment

The reason will be displayed to describe this comment to others. Learn more.

Pull request overview

This PR updates the sample calculator evaluation configuration used by the LLM judge semantic-similarity evaluator so CI/integration coverage stays consistent across alpha, cloud, and staging environments.

Changes:

  • Switch the LLM judge model from a pinned GPT model to anthropic.claude-sonnet-4-5-20250929-v1:0 for cross-environment reliability.

💡 Add a code-review agent skill or configure MCP servers for context-aware, tailored reviews. Learn more in the docs.

@radu-mocanu
radu-mocanu force-pushed the fix/llm-judge-cross-environment-model branch from c6543b2 to 5f6609d Compare August 10, 2026 09:57
@sonarqubecloud

Copy link
Copy Markdown

@radu-mocanu
radu-mocanu merged commit b612e1b into main Aug 10, 2026
98 checks passed
@radu-mocanu
radu-mocanu deleted the fix/llm-judge-cross-environment-model branch August 10, 2026 11:53
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

None yet

Projects

None yet

Development

Successfully merging this pull request may close these issues.

4 participants