Something went wrong. Try again.
Parametric learning in your code harness.
Something went wrong. Try again.
123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139140141142143144145146147148149150151152153154155156157158159160161162163164165166167168169170171172173174175176177178179180181182183184185186187188189190191192193194195196197198199200201202203204205206207208209210211212213214215216217218219220221222223224225226227228229230231232233234235236237238239240241242243244245246247248249250251252253254255256257258259260261262263264265266267268269270271272273274275276277278279280281282283284285286287288289290291292293294295296297298299300301302303304305306307308309310311// Graders score one criterion of one run. An evaluator assigns a grader to// every criterion of a machine's rubric; the type system rejects an evaluator// that leaves a criterion ungraded or grades one the rubric does not declare.
import type { Harness } from "./harness.ts";import { addUsage } from "./pricing.ts";import { criterionWeight, rubricFingerprint, type Criterion, type Rubric } from "./rubric.ts";import { noSandbox } from "./sandbox.ts";import type { Message, Run, Score, Scorecard } from "./types.ts";
export type GradeContext = { run: Run; criterionId: string; criterion: Criterion; /** The workspace harness, for graders that call a model. */ harness?: Harness; /** Default judge model for this evaluation. */ judgeModel?: string; /** Default reasoning effort for judges (see HarnessRequest.reasoningEffort). */ judgeEffort?: string | number; signal?: AbortSignal;};
export type Grader = { /** Recorded on the scorecard, e.g. "check:concise" or "judge:qwen". */ readonly name: string; grade(context: GradeContext): Promise<Score>;};
export type Evaluator<R extends Rubric> = { readonly [K in keyof R]: Grader };
/** Declare which grader scores each criterion of `rubric`. */export function defineEvaluator<R extends Rubric>(_rubric: R, evaluator: Evaluator<R>): Evaluator<R> { return Object.freeze({ ...evaluator });}
/** * A deterministic grader. `fn` returns a score in [0, 1], a boolean (pass is * 1), or a full Score with its own reason. */export function check(name: string, fn: (run: Run) => number | boolean | Score): Grader { return { name: `check:${name}`, async grade({ run }) { const result = fn(run); if (typeof result === "boolean") return { score: result ? 1 : 0, reason: result ? "passed" : "failed" }; if (typeof result === "number") return { score: clamp(result), reason: `scored ${round(result)}` }; return { score: clamp(result.score), reason: result.reason }; }, };}
/** * A model-graded criterion: a judge model reads the run and returns a score * with a reason. Without explicit options it uses the workspace harness and * judge model, falling back to the model that produced the run. A reply * without a usable score is retried (`attempts`, default 3) before the * grader fails. */export function judge( options: { harness?: Harness; model?: string; /** Extra instructions for the judge; a function gets the run, e.g. to add notes for its case. */ guidance?: string | ((run: Run) => string); attempts?: number; reasoningEffort?: string | number; /** Show the judge the model's reasoning as well as its reply (for criteria about how it thinks). */ seesReasoning?: boolean; /** What the judge sees of the run, in place of renderRun (e.g. a filed ticket rendered as a document). */ render?: (run: Run) => string; } = {},): Grader { const attempts = options.attempts ?? 3; return { name: (options.model ? `judge:${options.model}` : "judge") + (options.reasoningEffort === undefined ? "" : `@${options.reasoningEffort}`), async grade({ run, criterionId, criterion, signal, harness: contextHarness, judgeModel, judgeEffort }) { const reasoningEffort = options.reasoningEffort ?? judgeEffort; const harness = options.harness ?? contextHarness; if (!harness) throw new Error(`Judging "${criterionId}" needs a harness.`); let usage: Score["usage"]; let lastError: unknown; for (let attempt = 0; attempt < attempts; attempt++) { const result = await harness.run({ instructions: withGuidance(JUDGE_INSTRUCTIONS, options.guidance, run), history: [], input: options.render ? `Criterion "${criterionId}": ${criterion.description}\n\n${options.render(run)}` : judgePrompt(run, criterionId, criterion, options.seesReasoning), model: options.model ?? judgeModel ?? run.model, tools: [], sandbox: noSandbox, ...(reasoningEffort === undefined ? {} : { reasoningEffort }), signal, }); usage = addUsage(usage, result.usage); try { return { ...parseJudgeScore(result.output), usage }; } catch (error) { lastError = error; } } const error = new Error(`Judge for "${criterionId}" gave no usable score in ${attempts} attempts: ${lastError instanceof Error ? lastError.message : lastError}`); (error as Error & { usage?: Score["usage"] }).usage = usage; throw error; }, };}
/** * One judge call that grades several criteria of a run together, for when a * call per criterion costs too much (or a free endpoint's daily request cap * is the limit). `judgePanel(rubric, ["a", "b"])` returns a grader for each * named criterion; grading a run with all of them makes one model call, whose * reply scores every criterion. The call's usage is charged once, on the first * criterion. Judges grading criteria together can let one impression color * the others, so measure a panel with `agree` before trusting it. */export function judgePanel<R extends Rubric, K extends keyof R & string>( rubric: R, ids: readonly K[], options: { harness?: Harness; model?: string; guidance?: string | ((run: Run) => string); attempts?: number; reasoningEffort?: string | number; render?: (run: Run) => string; } = {},): { [P in K]: Grader } { if (ids.length === 0) throw new Error("A judge panel needs at least one criterion."); for (const id of ids) if (!(id in rubric)) throw new Error(`The rubric has no criterion "${id}".`); const attempts = options.attempts ?? 3; const name = (options.model ? `panel:${options.model}` : "panel") + (options.reasoningEffort === undefined ? "" : `@${options.reasoningEffort}`); // One call per run graded: every grader of the panel awaits the same promise. const calls = new WeakMap<Run, Promise<{ scores: Record<string, Score>; usage?: Score["usage"] }>>();
const call = async (context: GradeContext) => { const { run, signal, harness: contextHarness, judgeModel, judgeEffort } = context; const harness = options.harness ?? contextHarness; if (!harness) throw new Error(`Judging ${ids.join(", ")} needs a harness.`); const reasoningEffort = options.reasoningEffort ?? judgeEffort; const criteria = ids.map((id) => `- "${id}": ${rubric[id].description}`).join("\n"); const input = `Criteria:\n${criteria}\n\n${options.render ? options.render(run) : renderRun(run)}`; let usage: Score["usage"]; let lastError: unknown; for (let attempt = 0; attempt < attempts; attempt++) { const result = await harness.run({ instructions: withGuidance(PANEL_INSTRUCTIONS, options.guidance, run), history: [], input, model: options.model ?? judgeModel ?? run.model, tools: [], sandbox: noSandbox, ...(reasoningEffort === undefined ? {} : { reasoningEffort }), signal, }); usage = addUsage(usage, result.usage); try { return { scores: parsePanelScores(result.output, ids), usage }; } catch (error) { lastError = error; } } const error = new Error(`Judge panel gave no usable scores in ${attempts} attempts: ${lastError instanceof Error ? lastError.message : lastError}`); (error as Error & { usage?: Score["usage"] }).usage = usage; throw error; };
const graders = {} as { [P in K]: Grader }; for (const id of ids) { graders[id] = { name, async grade(context) { let pending = calls.get(context.run); if (!pending) { pending = call(context); calls.set(context.run, pending); // A failed call is not cached, so grading the run again retries it. pending.catch(() => calls.delete(context.run)); } const { scores, usage } = await pending; return { ...scores[id], ...(id === ids[0] && usage ? { usage } : {}) }; }, }; } return graders;}
/** Scores for each criterion id in a panel judge's reply: {"<id>": {"score": n, "reason": "..."}, ...}. */export function parsePanelScores(text: string, ids: readonly string[]): Record<string, Score> { const match = text.match(/\{[\s\S]*\}/); if (!match) throw new Error(`Panel reply has no JSON object: ${text.slice(0, 200)}`); const parsed = JSON.parse(match[0]) as Record<string, { score?: unknown; reason?: unknown } | undefined>; const out: Record<string, Score> = {}; for (const id of ids) { const entry = parsed[id]; const score = Number(entry?.score); if (!entry || !Number.isFinite(score)) throw new Error(`Panel reply has no numeric score for "${id}".`); out[id] = { score: clamp(score), reason: String(entry.reason ?? "").trim() || "no reason given" }; } return out;}
function withGuidance(base: string, guidance: string | ((run: Run) => string) | undefined, run: Run): string { const text = typeof guidance === "function" ? guidance(run) : guidance; return text ? `${base}\n\n${text}` : base;}
/** Grade every criterion of a run in parallel and combine the scores by weight. */export async function evaluate<R extends Rubric>( run: Run, rubric: R, evaluator: Evaluator<R>, options: { harness?: Harness; judgeModel?: string; judgeEffort?: string | number; signal?: AbortSignal; now?: () => Date } = {},): Promise<Scorecard> { const ids = Object.keys(rubric) as Array<keyof R & string>; const graded = await Promise.all( ids.map(async (id) => { const grader = evaluator[id]; if (!grader) throw new Error(`No grader for criterion "${id}".`); const score = await grader.grade({ run, criterionId: id, criterion: rubric[id], harness: options.harness, judgeModel: options.judgeModel, judgeEffort: options.judgeEffort, signal: options.signal, }); const { usage: _usage, ...rest } = score; return [id, { ...rest, score: clamp(score.score), weight: criterionWeight(rubric[id]), grader: grader.name }, score.usage] as const; }), ); const criteria = Object.fromEntries(graded.map(([id, c]) => [id, c])); const usage = addUsage(...graded.map(([, , u]) => u)); const totalWeight = graded.reduce((sum, [, c]) => sum + c.weight, 0); const total = graded.reduce((sum, [, c]) => sum + c.score * c.weight, 0) / totalWeight; return { total: round(total), criteria, evaluatedAt: (options.now?.() ?? new Date()).toISOString(), rubric: rubricFingerprint(rubric), ...(usage.inputTokens || usage.outputTokens ? { usage } : {}), };}
const JUDGE_INSTRUCTIONS = `You grade one criterion of an AI assistant's reply. Read the conversation, any tool activity (the assistant's tool calls and their real results), and the reply. Trust tool results over the reply's claims. Judge only the criterion you are given, and answer with a single JSON object and nothing else:{"score": <number from 0 to 1>, "reason": "<one or two sentences>"}0 means the reply fails the criterion, 1 means it fully meets it.`;
const PANEL_INSTRUCTIONS = `You grade an AI assistant's work against several criteria. Read everything you are given, judge each criterion on its own terms, and answer with a single JSON object and nothing else, with one entry per criterion id:{"<criterion id>": {"score": <number from 0 to 1>, "reason": "<one or two sentences>"}, ...}0 means the work fails the criterion, 1 means it fully meets it.`;
function judgePrompt(run: Run, id: string, criterion: Criterion, seesReasoning = false): string { return `Criterion "${id}": ${criterion.description}\n\n${renderRun(run, { reasoning: seesReasoning })}`;}
/** Everything the model reasoned during a run, in order. Empty when the endpoint returned none. */export function reasoningOf(run: Run): string { return run.trajectory .filter((m) => m.role === "assistant" && m.reasoning) .map((m) => m.reasoning) .join("\n\n");}
/** * What a grader sees of a run: the conversation, the tool calls with their * real results, and the final reply. Shared by model judges and Jev. */export function renderRun(run: Run, options: { reasoning?: boolean } = {}): string { const conversation = [...run.history, { role: "user", content: run.input } as Message] .map((m) => `${m.role.toUpperCase()}: ${m.content}`) .join("\n\n"); const activity = toolActivity(run); const reasoning = options.reasoning ? reasoningOf(run) : ""; return `${reasoning ? `<reasoning>\n${reasoning}\n</reasoning>\n\n` : ""}<conversation>\n${conversation}\n</conversation>${ activity ? `\n\n<tool_activity>\n${activity}\n</tool_activity>` : "" }\n\n<reply>\n${run.output}\n</reply>`;}
/** * The run's tool calls and their real results, so a judge can check claims in * the reply against what actually happened. Long values are truncated. */function toolActivity(run: Run): string { const clip = (text: string) => (text.length > 2_000 ? `${text.slice(0, 2_000)}… [truncated]` : text); return run.trajectory .filter((m) => m.role === "tool" || (m.role === "assistant" && m.toolCallId)) .map((m) => (m.role === "tool" ? `RESULT ${m.name}: ${clip(m.content)}` : `CALL ${m.name}: ${clip(JSON.stringify(m.toolInput ?? {}))}`)) .join("\n");}
export function parseJudgeScore(text: string): Score { const match = text.match(/\{[\s\S]*\}/); if (!match) throw new Error(`Judge reply has no JSON object: ${text.slice(0, 200)}`); const parsed = JSON.parse(match[0]) as { score?: unknown; reason?: unknown }; const score = Number(parsed.score); if (!Number.isFinite(score)) throw new Error(`Judge reply has no numeric score: ${match[0].slice(0, 200)}`); return { score: clamp(score), reason: String(parsed.reason ?? "").trim() || "no reason given" };}
function clamp(value: number): number { return Math.min(1, Math.max(0, value));}
function round(value: number): number { return Math.round(value * 1000) / 1000;}