What you get
- A golden eval set re-run automatically on every relevant change
- Pass/fail commented directly on the pull request that triggered it
- A trend line instead of a one-off spot-check
Use case
AI agent for evals & quality
Shipping prompt or model changes without regression testing is how quality quietly erodes. An eval agent runs a golden set of question/answer pairs against your target endpoint, scores each response with structural checks plus an LLM judge, and reports pass/fail — either on a schedule or the moment a prompt file changes in your repo.