Use when upgrading an LLM model or provider needs a repeatable before/after quality gate, or prompt quality must be tracked across model versions. Builds a versioned golden dataset, deterministic runs, exact, semantic, judge and rubric checks, and a pass-rate CI gate with a baseline diff.