Agent Eval Framework Gates CI With Certainty

The conservative gating model is a smart answer to noisy LLM judges, but its value will depend on calibration and representative regression cases.

• –Code handles objective checks such as completion, tool selection, citations, and forbidden actions.
• –Binary judge verdicts with an uncertainty band reduce false-positive build failures.
• –Repeated runs expose flaky agent behavior instead of hiding it behind a single pass rate.
• –Human review of uncertain cases creates labeled data for calibrating future judge decisions.
• –The framework targets a real gap between agent observability and dependable CI enforcement.