File size: 12,421 Bytes
c4ae742 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220 221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240 241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260 261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280 281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300 301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320 321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340 341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360 361 362 363 364 365 366 367 368 369 370 371 372 373 374 | import type { Config } from "../config.js";
import { AiClient, type AiClientConfig } from "../ai/client.js";
import type { OptionsSnapshot } from "../queue/runner.js";
import { DEFAULT_JUDGE_PROMPT_TEMPLATE, JSON_ONLY_SYSTEM } from "./prompt.js";
import { buildGoldenTrajectory } from "./trajectory.js";
import { evaluateJudgePolicy } from "./policy.js";
type AnyObj = Record<string, any>;
const DIMENSION_LABELS: Record<string, string> = {
task_realism: "Task Realism",
no_information_leakage: "No Information Leakage",
task_complexity: "Task Complexity",
rubric_concreteness: "Rubric Concreteness",
rubric_completeness: "Rubric Completeness",
trajectory_task_alignment: "Trajectory-Task Alignment",
};
const DIMENSION_ORDER = [
"task_realism",
"no_information_leakage",
"task_complexity",
"rubric_concreteness",
"rubric_completeness",
"trajectory_task_alignment",
] as const;
const SUPPORTED_VARIABLES = ["taskStatement", "rubricJsonStr", "goldenTrajectory", "passPolicy"];
export interface RunJudgeInput {
aiClient: AiClient;
config: Config;
snapshot: OptionsSnapshot;
taskPackage: AnyObj;
evidence: AnyObj;
}
export interface JudgeResult {
dimensions: Record<string, { score: number; explanation: string }>;
total_score: number;
max_score: number;
has_zeros: boolean;
trajectory_pass: boolean;
dbdiff_pass: boolean;
package_pass: boolean;
verdict: "PASS" | "NEEDS_REVISION" | "REJECT";
policy: {
strictFullMarks: boolean;
ignoreTaskComplexityForFullMarks: boolean;
threshold: number;
maxScore: number;
rule: string;
};
summary: string;
revision_notes: string[];
dimensionLabels: Record<string, string>;
raw?: unknown;
evaluated?: boolean;
evaluatedAt?: string;
overallScore?: number;
maxScore?: number;
passed?: boolean;
feedback?: string;
rubricScores?: Array<{
rubricId: string;
name: string;
score: number;
maxScore: number;
feedback: string;
}>;
revisionNotes?: string[];
promptUsed?: string;
rawResponse?: unknown;
}
type ParsedJudgeResponse = {
dimensions: Record<(typeof DIMENSION_ORDER)[number], { score: 0 | 1 | 2; explanation: string }>;
total_score: number;
has_zeros: boolean;
verdict: "PASS" | "NEEDS_REVISION" | "REJECT";
summary: string;
revision_notes: string[];
};
function getUnknownTemplateVariables(template: string): string[] {
const matches = String(template || "").match(/\$\{([^}]+)\}/g) ?? [];
return matches
.map((match) => match.slice(2, -1).trim())
.filter((name) => !SUPPORTED_VARIABLES.includes(name));
}
function buildJudgePrompt(template: string, variables: Record<string, string>): string {
let prompt = String(template || "");
for (const [key, value] of Object.entries(variables)) {
const token = "${" + key + "}";
const escapedToken = "\\" + token;
prompt = prompt.split(escapedToken).join(value);
prompt = prompt.split(token).join(value);
}
return prompt;
}
function buildPassPolicyText(snapshot: OptionsSnapshot): string {
if (snapshot.strictFullMarks) {
if (snapshot.ignoreTaskComplexityForFullMarks) {
return [
"Strict full-marks mode is enabled with Task Complexity ignored for full-marks evaluation.",
"PASS if all dimensions except task_complexity score 2/2 and task_complexity scores at least 1/2.",
"A task_complexity score of 1/2 is acceptable; a task_complexity score of 0/2 is not acceptable.",
"Any non-task_complexity score below 2 must be NEEDS_REVISION or REJECT according to severity.",
].join("\n");
}
return [
"Strict full-marks mode is enabled.",
"PASS only if total_score equals 12 and has_zeros is false.",
"Any score below 12 must be NEEDS_REVISION or REJECT according to severity.",
].join("\n");
}
return [
"Normal mode is enabled.",
"PASS if total_score >= 10 and has_zeros is false.",
"NEEDS_REVISION if total_score is 7-9 or total_score >= 10 with has_zeros true.",
"REJECT if total_score < 7.",
].join("\n");
}
function buildRubricJson(rubrics: AnyObj[]): string {
return JSON.stringify(
(rubrics || []).map((rubric) => ({
id: rubric.id,
name: rubric.name,
description: rubric.description,
category: rubric.category ?? "",
checker_key: rubric.checker_key ?? "",
maxScore: rubric.maxScore,
scorePoints: rubric.scorePoints,
})),
null,
2,
);
}
function normalizeExistingGoldenTrajectory(value: unknown): unknown[] | string | null {
if (Array.isArray(value)) return value.length ? value : null;
if (typeof value !== "string") return null;
const trimmed = value.trim();
if (!trimmed || trimmed === "[]") return null;
try {
const parsed = JSON.parse(trimmed) as unknown;
return Array.isArray(parsed) && parsed.length ? parsed : trimmed;
} catch (_) {
return trimmed;
}
}
function resolveGoldenTrajectory(taskPackage: AnyObj, evidence: AnyObj, groups: AnyObj[]): string {
const built = buildGoldenTrajectory(evidence, groups);
if (built && built.trim() && built.trim() !== "[]") return built;
if (evidence?.type === "mcp") return "[]";
const existing = normalizeExistingGoldenTrajectory(taskPackage?.golden_trajectory);
if (existing) {
return typeof existing === "string" ? existing : JSON.stringify(existing, null, 2);
}
return "[]";
}
function stripCodeFence(content: string): string {
return String(content || "")
.replace(/^```json\s*/i, "")
.replace(/^```\s*/i, "")
.replace(/```\s*$/i, "");
}
function extractJsonObject(content: string): string {
const start = content.indexOf("{");
const end = content.lastIndexOf("}");
if (start === -1 || end === -1 || end <= start) return "";
return content.slice(start, end + 1);
}
function invalid(): never {
throw new Error("Judge response JSON schema invalid");
}
function validateDimension(value: unknown): { score: 0 | 1 | 2; explanation: string } {
if (!value || typeof value !== "object") invalid();
const dimension = value as AnyObj;
if (
(dimension.score !== 0 && dimension.score !== 1 && dimension.score !== 2) ||
typeof dimension.explanation !== "string"
) {
invalid();
}
return {
score: dimension.score,
explanation: dimension.explanation,
};
}
function validateTotalScore(value: unknown): number {
if (typeof value !== "number" || value < 0 || value > 12) invalid();
return value;
}
function validateVerdict(value: unknown): ParsedJudgeResponse["verdict"] {
if (value === "PASS" || value === "NEEDS_REVISION" || value === "REJECT") return value;
invalid();
}
function validateJudgeResponse(value: unknown): ParsedJudgeResponse {
if (!value || typeof value !== "object") invalid();
const response = value as AnyObj;
const dimensions = response.dimensions;
if (!dimensions || typeof dimensions !== "object") invalid();
return {
dimensions: {
task_realism: validateDimension((dimensions as AnyObj).task_realism),
no_information_leakage: validateDimension((dimensions as AnyObj).no_information_leakage),
task_complexity: validateDimension((dimensions as AnyObj).task_complexity),
rubric_concreteness: validateDimension((dimensions as AnyObj).rubric_concreteness),
rubric_completeness: validateDimension((dimensions as AnyObj).rubric_completeness),
trajectory_task_alignment: validateDimension((dimensions as AnyObj).trajectory_task_alignment),
},
total_score: validateTotalScore(response.total_score),
has_zeros: typeof response.has_zeros === "boolean" ? response.has_zeros : invalid(),
verdict: validateVerdict(response.verdict),
summary: typeof response.summary === "string" ? response.summary : invalid(),
revision_notes:
Array.isArray(response.revision_notes) &&
response.revision_notes.every((item) => typeof item === "string")
? response.revision_notes
: invalid(),
};
}
function parseJudgeResponse(content: string): ParsedJudgeResponse {
const candidates = [
content.trim(),
stripCodeFence(content).trim(),
extractJsonObject(content).trim(),
].filter(Boolean);
for (const candidate of candidates) {
try {
return validateJudgeResponse(JSON.parse(candidate));
} catch (_) {
// try next candidate
}
}
throw new Error("Judge response is not valid JSON");
}
function mapJudgeResponseToResult(
response: ParsedJudgeResponse,
promptUsed: string,
rawResponse: unknown,
snapshot: OptionsSnapshot,
): JudgeResult {
const dimensions = response.dimensions;
const rubricScores = DIMENSION_ORDER.map((key) => ({
rubricId: "judge:" + key,
name: DIMENSION_LABELS[key],
score: dimensions[key].score,
maxScore: 2,
feedback: dimensions[key].explanation,
}));
const feedbackSections = [response.summary.trim()];
if (response.revision_notes.length > 0) {
feedbackSections.push(
"Revision Notes:\n" + response.revision_notes.map((note) => "- " + note).join("\n"),
);
}
const strictFullMarks = Boolean(snapshot.strictFullMarks);
const policyDecision = evaluateJudgePolicy(
{
total_score: response.total_score,
max_score: 12,
has_zeros: response.has_zeros,
verdict: response.verdict,
dimensions,
},
snapshot,
);
const passed = policyDecision.passed;
const verdict: JudgeResult["verdict"] = passed
? "PASS"
: response.total_score >= 7
? "NEEDS_REVISION"
: "REJECT";
return {
dimensions,
total_score: response.total_score,
max_score: 12,
has_zeros: response.has_zeros,
trajectory_pass: dimensions.trajectory_task_alignment.score > 0,
dbdiff_pass: true,
package_pass: passed,
verdict,
policy: {
strictFullMarks,
ignoreTaskComplexityForFullMarks: policyDecision.ignoreTaskComplexityForFullMarks,
threshold: policyDecision.threshold,
maxScore: policyDecision.maxScore,
rule: policyDecision.rule,
},
summary: response.summary,
revision_notes: response.revision_notes,
dimensionLabels: { ...DIMENSION_LABELS },
raw: response,
evaluated: true,
evaluatedAt: new Date().toISOString(),
overallScore: response.total_score,
maxScore: 12,
passed,
feedback: feedbackSections.filter(Boolean).join("\n\n"),
rubricScores,
revisionNotes: response.revision_notes,
promptUsed,
rawResponse,
};
}
function resolveJudgeConfig(config: Config, snapshot: OptionsSnapshot): AiClientConfig {
return {
apiKey: config.judgeApiKey || config.defaultApiKey,
baseURL: snapshot.judge?.baseURL || config.judgeBaseURL || config.defaultBaseURL,
apiMode: "chat",
model: snapshot.judge?.model || config.judgeModel || config.defaultModel,
temperature: 0,
enableThinking: false,
clearThinking: false,
};
}
export async function runJudge(input: RunJudgeInput): Promise<JudgeResult> {
const { aiClient, config, snapshot, taskPackage, evidence } = input;
const rubrics = Array.isArray(taskPackage.rubrics) ? taskPackage.rubrics : [];
const groups = Array.isArray(taskPackage.subtasks) ? taskPackage.subtasks : [];
const goldenTrajectory = resolveGoldenTrajectory(taskPackage, evidence, groups);
let template = snapshot.judge?.promptTemplate || DEFAULT_JUDGE_PROMPT_TEMPLATE;
if (!template.includes("${passPolicy}")) {
template += "\n\n## Active Pass Policy\n${passPolicy}";
}
const unknownVariables = getUnknownTemplateVariables(template);
if (unknownVariables.length > 0) {
throw new Error("Prompt contains unsupported variables: " + unknownVariables.join(", "));
}
const prompt = buildJudgePrompt(template, {
taskStatement: String(taskPackage.instruction || "").trim(),
rubricJsonStr: buildRubricJson(rubrics),
goldenTrajectory,
passPolicy: buildPassPolicyText(snapshot),
});
const response = await aiClient.requestText(
resolveJudgeConfig(config, snapshot),
[
{ role: "system", content: JSON_ONLY_SYSTEM },
{ role: "user", content: prompt },
],
{
stream: false,
jsonMode: false,
jsonModeFallback: false,
retries: 0,
pluginCompat: true,
disableBetaParameterFallback: true,
},
);
const parsed = parseJudgeResponse(response.text);
return mapJudgeResponseToResult(parsed, prompt, response, snapshot);
}
export { buildGoldenTrajectory };
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