import { EvalJudge, EvalScorer } from "../contracts/agent/eval.type.mjs";

//#region ../ai/src/eval/judge-scorer.d.ts
/**
 * LLM-as-judge scorer. Runs the judge agent on a prompt built from the
 * case (question + expected + actual answer + rubric) and parses its
 * `{ score, passed?, reason? }` verdict.
 *
 * Verdict source order: `result.data` (when the judge declares an
 * output schema), then `result.text` parsed as JSON. A judge that
 * errors or returns unparseable text scores `0` with the failure
 * reason attached — a broken judge fails the case rather than crashing
 * the suite.
 *
 * @example
 * scorers: [judge({ agent: judgeAgent, rubric: "Cite a source for full marks." })]
 */
declare function judge<TOutput = unknown>(config: EvalJudge, passThreshold?: number): EvalScorer<TOutput>;
//#endregion
export { judge };
//# sourceMappingURL=judge-scorer.d.mts.map