{"version":3,"file":"judge-scorer.mjs","names":[],"sources":["../../../../../../../ai/src/eval/judge-scorer.ts"],"sourcesContent":["import type {\n  EvalJudge,\n  EvalScore,\n  EvalScorer,\n  EvalScorerContext,\n} from \"../contracts/agent/eval.type\";\nimport { extractJsonPayload, safeJsonParse } from \"../utils\";\n\n/**\n * Raw shape the judge agent is expected to return — either parsed from\n * `result.data` (when the judge has an output schema) or extracted\n * from `result.text`.\n */\ntype JudgeVerdict = {\n  score?: unknown;\n  passed?: unknown;\n  reason?: unknown;\n};\n\n/** Clamp an arbitrary numeric value into the `[0, 1]` score range. */\nfunction clampScore(value: number): number {\n  if (Number.isNaN(value)) return 0;\n  if (value < 0) return 0;\n  if (value > 1) return 1;\n  return value;\n}\n\n/**\n * Render the prompt the judge agent receives for one case. Includes\n * the rubric (if any), the original question, the expected reference\n * (when supplied), and the actual answer — then asks for a strict JSON\n * verdict so the response is machine-parseable even without an output\n * schema.\n */\nfunction buildJudgePrompt(context: EvalScorerContext, judge: EvalJudge): string {\n  const lines: string[] = [];\n\n  if (judge.rubric) {\n    lines.push(`Grading rubric:\\n${judge.rubric}`, \"\");\n  }\n\n  lines.push(`Question:\\n${context.case.input}`, \"\");\n\n  if (context.case.expected !== undefined) {\n    const expectedText =\n      typeof context.case.expected === \"string\"\n        ? context.case.expected\n        : JSON.stringify(context.case.expected);\n    lines.push(`Reference answer:\\n${expectedText}`, \"\");\n  }\n\n  const actual = context.text ?? JSON.stringify(context.output ?? null);\n  lines.push(`Answer to grade:\\n${actual}`, \"\");\n\n  lines.push(\n    'Respond with JSON only: { \"score\": <0..1>, \"passed\": <true|false>, \"reason\": \"<short explanation>\" }.',\n  );\n\n  return lines.join(\"\\n\");\n}\n\n/**\n * Coerce the judge agent's parsed/extracted verdict into a normalized\n * {@link EvalScore}. Defends against a judge that returns a string\n * score or omits `passed` — the caller-supplied `passThreshold`\n * derives `passed` from `score` when the judge didn't decide.\n */\nfunction toEvalScore(verdict: JudgeVerdict, passThreshold: number): EvalScore {\n  const rawScore = typeof verdict.score === \"string\" ? Number(verdict.score) : verdict.score;\n  const score = clampScore(typeof rawScore === \"number\" ? rawScore : 0);\n\n  const passed = typeof verdict.passed === \"boolean\" ? verdict.passed : score >= passThreshold;\n\n  const reason = typeof verdict.reason === \"string\" ? verdict.reason : undefined;\n\n  return { score, passed, reason };\n}\n\n/**\n * LLM-as-judge scorer. Runs the judge agent on a prompt built from the\n * case (question + expected + actual answer + rubric) and parses its\n * `{ score, passed?, reason? }` verdict.\n *\n * Verdict source order: `result.data` (when the judge declares an\n * output schema), then `result.text` parsed as JSON. A judge that\n * errors or returns unparseable text scores `0` with the failure\n * reason attached — a broken judge fails the case rather than crashing\n * the suite.\n *\n * @example\n * scorers: [judge({ agent: judgeAgent, rubric: \"Cite a source for full marks.\" })]\n */\nexport function judge<TOutput = unknown>(\n  config: EvalJudge,\n  passThreshold = 0.5,\n): EvalScorer<TOutput> {\n  const threshold = config.passThreshold ?? passThreshold;\n\n  return async (context: EvalScorerContext<TOutput>): Promise<EvalScore> => {\n    const prompt = buildJudgePrompt(context as EvalScorerContext, config);\n\n    const verdictResult = await config.agent.execute(prompt);\n\n    if (verdictResult.error) {\n      return {\n        score: 0,\n        passed: false,\n        reason: `judge failed: ${verdictResult.error.message}`,\n      };\n    }\n\n    if (verdictResult.data && typeof verdictResult.data === \"object\") {\n      return toEvalScore(verdictResult.data as JudgeVerdict, threshold);\n    }\n\n    const text = verdictResult.text ?? \"\";\n    const sentinel = Symbol(\"judge-parse-failed\");\n    const parsed = safeJsonParse<unknown>(extractJsonPayload(text), sentinel);\n\n    if (parsed === sentinel || parsed === null || typeof parsed !== \"object\") {\n      return {\n        score: 0,\n        passed: false,\n        reason: \"judge returned no parseable verdict\",\n      };\n    }\n\n    return toEvalScore(parsed as JudgeVerdict, threshold);\n  };\n}\n"],"mappings":";;;;;;AAoBA,SAAS,WAAW,OAAuB;CACzC,IAAI,OAAO,MAAM,KAAK,GAAG,OAAO;CAChC,IAAI,QAAQ,GAAG,OAAO;CACtB,IAAI,QAAQ,GAAG,OAAO;CACtB,OAAO;AACT;;;;;;;;AASA,SAAS,iBAAiB,SAA4B,OAA0B;CAC9E,MAAM,QAAkB,CAAC;CAEzB,IAAI,MAAM,QACR,MAAM,KAAK,oBAAoB,MAAM,UAAU,EAAE;CAGnD,MAAM,KAAK,cAAc,QAAQ,KAAK,SAAS,EAAE;CAEjD,IAAI,QAAQ,KAAK,aAAa,QAAW;EACvC,MAAM,eACJ,OAAO,QAAQ,KAAK,aAAa,WAC7B,QAAQ,KAAK,WACb,KAAK,UAAU,QAAQ,KAAK,QAAQ;EAC1C,MAAM,KAAK,sBAAsB,gBAAgB,EAAE;CACrD;CAEA,MAAM,SAAS,QAAQ,QAAQ,KAAK,UAAU,QAAQ,UAAU,IAAI;CACpE,MAAM,KAAK,qBAAqB,UAAU,EAAE;CAE5C,MAAM,KACJ,+GACF;CAEA,OAAO,MAAM,KAAK,IAAI;AACxB;;;;;;;AAQA,SAAS,YAAY,SAAuB,eAAkC;CAC5E,MAAM,WAAW,OAAO,QAAQ,UAAU,WAAW,OAAO,QAAQ,KAAK,IAAI,QAAQ;CACrF,MAAM,QAAQ,WAAW,OAAO,aAAa,WAAW,WAAW,CAAC;CAMpE,OAAO;EAAE;EAAO,QAJD,OAAO,QAAQ,WAAW,YAAY,QAAQ,SAAS,SAAS;EAIvD,QAFT,OAAO,QAAQ,WAAW,WAAW,QAAQ,SAAS;CAEtC;AACjC;;;;;;;;;;;;;;;AAgBA,SAAgB,MACd,QACA,gBAAgB,IACK;CACrB,MAAM,YAAY,OAAO,iBAAiB;CAE1C,OAAO,OAAO,YAA4D;EACxE,MAAM,SAAS,iBAAiB,SAA8B,MAAM;EAEpE,MAAM,gBAAgB,MAAM,OAAO,MAAM,QAAQ,MAAM;EAEvD,IAAI,cAAc,OAChB,OAAO;GACL,OAAO;GACP,QAAQ;GACR,QAAQ,iBAAiB,cAAc,MAAM;EAC/C;EAGF,IAAI,cAAc,QAAQ,OAAO,cAAc,SAAS,UACtD,OAAO,YAAY,cAAc,MAAsB,SAAS;EAGlE,MAAM,OAAO,cAAc,QAAQ;EACnC,MAAM,WAAW,OAAO,oBAAoB;EAC5C,MAAM,SAAS,cAAuB,mBAAmB,IAAI,GAAG,QAAQ;EAExE,IAAI,WAAW,YAAY,WAAW,QAAQ,OAAO,WAAW,UAC9D,OAAO;GACL,OAAO;GACP,QAAQ;GACR,QAAQ;EACV;EAGF,OAAO,YAAY,QAAwB,SAAS;CACtD;AACF"}