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[rig-decomposition-bench] Daily rig decomposition benchmark — 2026-10-14 — no winner (task picker failed)

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难度
4/5
预计耗时
1-2 天
新手友好度
15/100
Issue 类型
缺陷
描述清晰度
需要澄清
活跃度
活跃
技术栈
nodejs, typescript
领域
devtools

调研方向

The failure is in the pickTask agent call inside the workflow body, which returned null with empty stderr; the report also cites typecheck errors in the skill's rig.ts. Start by reproducing with the benchmark program and checking the bench_output.json path. Done means the cause of the null return is identified and the picker yields a task, or the workflow handles that case with a clear error.

由索引模型根据 Issue 内容生成。

描述

ai-agent automation

The benchmark run failed at the first step. The task picker returned null, so no task was chosen and nothing after it ran. I ran the program exactly once, as instructed.

Task

None. The task picker (small agent, maxTurns: 2, repair()) returned null.

Timing comparison

ms
single-call not run
decomposed not run

Decomposed program final status: not run.

Decomposition attempts

None. No task was picked, so the writer never ran.

Grading

Not run, so there are no scores, no winner and no rationale.

Single-call solution

Not produced.

Decomposed rig program source

Not produced.

Decomposed solution

Not produced.

Captured output

stdout (bench_output.json):

{"status":"failed","error":"task picker returned null","task":null}

stderr was empty (0 bytes).

The --typecheck step also reported errors. Every one came from the skill's own rig.ts (missing process, Buffer and NodeJS types), because @types/node was not installed. After I replaced direct process uses with globalThis.process, none were reported against my program. I ran it anyway.

Benchmark program (Step 1)
import { agent, workflow, s, configureAgent, copilotEngine, repair } from "rig";

configureAgent(copilotEngine());

const DEADLINE = Date.now() + 25 * 60_000;
const remaining = () => DEADLINE - Date.now();

const cp: any = (globalThis as any).process.getBuiltinModule("node:child_process");

type RunResult = { status: "passed" | "failed" | "skipped"; output: string; stdout: string };

function runCli(source: string, flag: "--typecheck" | "--server", wantMs: number): Promise<RunResult> {
  const budget = Math.min(wantMs, remaining());
  if (budget < 5_000) {
    return Promise.resolve({ status: "skipped", output: "time budget exhausted", stdout: "" });
  }
  return new Promise((resolve) => {
    const child = cp.spawn("node", ["rig.ts", flag], { cwd: (globalThis as any).process.cwd(), stdio: ["pipe", "pipe", "pipe"] });
    let out = "";
    let err = "";
    let timedOut = false;
    const timer = setTimeout(() => { timedOut = true; child.kill("SIGKILL"); }, budget);
    child.stdout.on("data", (d: any) => { out += String(d); });
    child.stderr.on("data", (d: any) => { err += String(d); });
    child.on("error", (e: any) => { clearTimeout(timer); resolve({ status: "failed", output: String(e), stdout: out }); });
    child.on("close", (code: number | null) => {
      clearTimeout(timer);
      const combined = (err + (code === 0 ? "" : out)).trim();
      if (timedOut) resolve({ status: "failed", output: `timed out after ${budget}ms\n${combined}`, stdout: out });
      else if (code === 0) resolve({ status: "passed", output: combined, stdout: out });
      else resolve({ status: "failed", output: `exit code ${code}\n${combined}`, stdout: out });
    });
    child.stdin.end(source);
  });
}

function parseSolution(stdout: string): string | null {
  const t = stdout.trim();
  const tryParse = (x: string) => {
    try {
      const v = JSON.parse(x);
      if (v && typeof v === "object" && typeof v.solution === "string") return v.solution as string;
    } catch { /* ignore */ }
    return null;
  };
  const direct = tryParse(t);
  if (direct !== null) return direct;
  const i = t.indexOf("{");
  const j = t.lastIndexOf("}");
  if (i >= 0 && j > i) return tryParse(t.slice(i, j + 1));
  return null;
}

// Agent role: picks a concrete, gradable multi-faceted task
const pickTask = agent({
  model: "small",
  maxTurns: 2,
  addons: [repair()],
  instructions:
    "Pick ONE concrete, complicated task a person or team might face in a single day that would naturally benefit from being split across sub-agents running different models: multi-source research and synthesis, a multi-file coding task with design/implementation/review phases, a structured report combining several independent analyses, or a multi-step data transformation pipeline. It must be self-contained (solvable from its description alone, no external files or live web access) and concrete enough to grade. Vary the domain from run to run (use the current time as a random seed). Return a title, domain, description, and 3-6 concrete, checkable success criteria.",
  output: s.object({
    title: s.string,
    domain: s.string,
    description: s.string,
    criteria: s.array(s.string),
  }),
});

// Agent role: solves the whole task in one turn
const solveSingle = agent({
  model: "medium",
  maxTurns: 1,
  instructions:
    "Solve the entire task yourself in a single response, addressing every success criterion. No delegation, no tools. Return the complete solution verbatim (Markdown code fences are fine).",
  output: s.string,
});

const SKELETON = `import { agent, workflow, s } from "rig";

// Agent role: <role>
const analyze = agent({ model: "small", instructions: "...", output: s.string });

// Workflow role: combines the agents' outputs into the final solution
export default workflow({
  meta: { name: "decomposed-solution", description: "..." },
  body: async ({ call }) => {
    const analysis = await call(analyze, "...");
    return { solution: analysis ?? "" };
  },
});`;

const CONTRACT = `Write ONE self-contained TypeScript program using the "rig" library. Rules:
- Import only from "rig". Take no required input on the root. Export the root via \`export default\` and never invoke it.
- Split the task across AT LEAST TWO agents. Put a \`// Agent role: ...\` comment above each agent() and a \`// Workflow role: ...\` comment above the workflow(). Each agent uses model "small" for simple sub-steps and "medium" or "large" for harder ones. The final answer must combine the agents' outputs rather than come from one agent solving everything.
- A workflow() spec accepts ONLY \`meta\`, an optional \`input\`, and \`body\`. It has no \`output\` or \`execute\` field; the final { solution } object is simply what \`body\` returns. (An agent() root instead declares \`output: s.object({ solution: s.string })\`.) Inside body, \`call(agent, input)\` returns the output or null on failure; \`parallel([...thunks])\` runs thunks concurrently.
- Use \`output: s.string\` for every agent whose result is source text or free-form solution. Do not make any agent re-emit a large solution inside an object wrapper.
- Do not use console.log.
Required shape (abridged to one agent; you need at least two):

\`\`\`ts
${SKELETON}
\`\`\`

Return ONLY the complete program source as plain text, with no commentary.`;

// Agent role: writes a decomposed rig program
const writeProgram = agent({
  model: "medium",
  maxTurns: 1,
  instructions: CONTRACT,
  output: s.string,
});

// Agent role: fixes or regenerates the decomposed rig program
const fixProgram = agent({
  model: "medium",
  maxTurns: 1,
  instructions: CONTRACT + "\nYou may be given a failing program with the exact error; fix precisely what the error names and preserve what already worked. If told there is no source to fix, generate the complete program from the task and skeleton.",
  output: s.string,
});

// Agent role: grades both solutions on content
const grade = agent({
  model: "large",
  maxTurns: 1,
  instructions:
    "Score each solution 0-10 on how completely and correctly it satisfies the success criteria. Judge only correctness and completeness of content — not length, and not which approach produced it. Pick winner single-call, decomposed, or tie, and explain the comparison.",
  output: s.object({
    singleScore: s.number,
    decomposedScore: s.number,
    winner: s.enum("single-call", "decomposed", "tie"),
    rationale: s.string,
  }),
});

function stripFence(src: string): string {
  const m = src.match(/```(?:ts|typescript|rig)?\s*\n([\s\S]*?)```/);
  return (m ? m[1] : src).trim();
}

type Attempt = {
  attempt: number;
  generation: string;
  typecheck: string;
  execute: string;
  error: string;
};

// Workflow role: picks a task, solves it two ways, grades both and returns the report
export default workflow({
  meta: { name: "rig-decomposition-bench", description: "Single-call vs decomposed benchmark" },
  body: async ({ call }) => {
    const task = await call(pickTask, "Pick today's task.");
    if (!task) {
      return { status: "failed", error: "task picker returned null", task: null };
    }
    const taskText = `# ${task.title}\nDomain: ${task.domain}\n\n${task.description}\n\nSuccess criteria:\n${task.criteria.map((c: string) => `- ${c}`).join("\n")}`;

    const t0 = Date.now();
    const single = await call(solveSingle, taskText, { timeout: Math.max(10_000, Math.min(8 * 60_000, remaining())) });
    const singleMs = Date.now() - t0;

    const t1 = Date.now();
    const attempts: Attempt[] = [];
    let source = "";
    let decomposedSolution: string | null = null;
    let status = "failed";
    let lastSource = "";
    let lastError = "";
    for (let n = 1; n <= 2; n++) {
      if (remaining() < 4 * 60_000 && n > 1) break;
      if (remaining() < 60_000) break;
      const writerBudget = Math.max(10_000, Math.min(5 * 60_000, remaining()));
      let raw: string | null;
      if (n === 1) {
        raw = await call(writeProgram, `Task:\n${taskText}`, { timeout: writerBudget });
      } else if (lastSource.trim()) {
        raw = await call(fixProgram, `Task:\n${taskText}\n\nThe following program failed.\n\nProgram:\n${lastSource}\n\nExact error:\n${lastError}\n\nFix precisely what the error names, preserving what already worked.`, { timeout: writerBudget });
      } else {
        raw = await call(fixProgram, `Task:\n${taskText}\n\nThere is no source to fix: the previous attempt produced nothing. Generate the complete program from the task and the required skeleton.`, { timeout: writerBudget });
      }
      const rec: Attempt = { attempt: n, generation: "", typecheck: "skipped", execute: "skipped", error: "" };
      attempts.push(rec);
      if (raw === null || raw === undefined || !raw.trim()) {
        rec.generation = "empty";
        lastSource = "";
        lastError = "writer returned empty result";
        rec.error = lastError;
        continue;
      }
      rec.generation = "ok";
      const src = stripFence(raw);
      lastSource = src;
      source = src;
      const tc = await runCli(src, "--typecheck", 2 * 60_000);
      rec.typecheck = tc.status;
      if (tc.status !== "passed") {
        lastError = tc.output;
        rec.error = tc.output;
        continue;
      }
      const ex = await runCli(src, "--server", 5 * 60_000);
      rec.execute = ex.status;
      if (ex.status !== "passed") {
        lastError = ex.output;
        rec.error = ex.output;
        continue;
      }
      const sol = parseSolution(ex.stdout);
      if (sol === null || !sol.trim()) {
        rec.execute = "failed";
        lastError = "could not parse non-empty { solution } from stdout:\n" + ex.stdout.slice(0, 4000);
        rec.error = lastError;
        continue;
      }
      decomposedSolution = sol;
      status = "passed";
      break;
    }
    const decomposedMs = Date.now() - t1;

    const singleText = single && single.trim() ? single : "(single-call solver returned nothing)";
    const decText = decomposedSolution ?? "(decomposition produced no solution)";
    const grading = await call(
      grade,
      `${taskText}\n\n=== SOLUTION A (single-call) ===\n${singleText}\n\n=== SOLUTION B (decomposed) ===\n${decText}`,
      { timeout: Math.max(10_000, Math.min(5 * 60_000, remaining() + 60_000)) },
    );

    return {
      status,
      task,
      singleMs,
      decomposedMs,
      singleSolution: singleText,
      decomposedSolution: decText,
      attempts,
      decomposedSource: source,
      grading,
    };
  },
});

Verdict: No winner. The benchmark failed because the task picker returned null (cause unknown; stderr was empty), so neither approach was run or graded.

Generated by Daily Rig Decomposition Benchmark · copilot · auto · 27.8 AIC · ⌖ 0.718 AIC · ⊞ 9.9K · ◷

  • expires on Oct 21, 2026, 1:05 PM UTC
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