harness2: recursive harness optimization wired to real codex tasks
Port Google Research's Harness^2 method layer (model weights frozen, only the surrounding harness is optimized): Propose-Probe-Compose with INV/DOM/AGG editors, parallel/sequential modes, per-domain experience library, anonymous-product selection, k<=3 hard cap and budget gate. Execution goes only through the existing control-plane API (upload -> task with idempotency key -> poll -> trace/cost -> cancel on timeout); no new server endpoints, no codex flags composed, tasks inherit the normal executor/sandbox/quota/audit path. Wiring lessons from four real rounds against production (project wwww, ledger task): HttpTaskClient retries transient disconnects and 502/503/429 (3 attempts); editors get a worked file-block example, an explicit <no-change> marker and one feedback retry (.fmt2) instead of silently accepting notes-only replies; run_task unwraps the server's result_text JSON envelope (text field holds the real reply) — without this, line-anchored file-block parsing could never see blocks the agents were actually emitting. Final round (real4) fully green: all stages landed, selection non-fallback, experience入库, probe delivers the correct signed total 85.15. Tests: 35 harness tests (17 method + 18 wiring incl. fake-control-plane full round, idempotent replay, retry, format retry, envelope round). Deliberate deviations from upstream are documented in docs/harness2.md (no network-unrestricted/sandbox-disabled defaults, auto_apply off, no benchmark/scorer, probe deliverable = final reply text).
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"""Harness² 融合演示:不花模型钱,跑通一轮完整改进。
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用法(在项目根目录):
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python3 examples/harness2_demo.py --mode parallel --k 1
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python3 examples/harness2_demo.py --mode sequential --k 1 --output /tmp/h2demo
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任务是对账本求和。base harness 的脚本只加正数(账本含一笔负数 credit,
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base 会漏掉它);确定性编辑器去掉正数过滤;选择器按产物挑带符号和;
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反思器把“正负都要算”写进经验库。跑完打印:被采纳的产物、回落情况、
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经验库条目位置。真实接线时,这里的三个确定性类换成 codex 任务
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(见 docs/harness2.md),执行器换成 Worker 的任务执行,循环本身不变。
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"""
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import argparse
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import csv
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import subprocess
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import sys
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import tempfile
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from pathlib import Path
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sys.path.insert(0, str(Path(__file__).resolve().parents[1]))
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from cloud.harness2 import ( # noqa: E402
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EditResult, Library, Rollout, improve_task, read_tree, write_tree,
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)
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BASE_SCRIPT = """import csv
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import sys
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from decimal import Decimal
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with open(sys.argv[1]) as f:
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amounts = [Decimal(r['amount']) for r in csv.DictReader(f)]
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print(f"Total: {sum((a for a in amounts if a > 0), Decimal(0)):.2f}")
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"""
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BASE_TREE = {
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"AGENTS.md": "Use scripts/summarize.py to total the ledger.\n",
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"scripts/summarize.py": BASE_SCRIPT,
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}
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class LedgerAdapter:
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task_id = "ledger-1"
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domain = "accounting"
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prompt = "Sum every signed amount in ledger.csv. Return Total: with two decimals."
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def __init__(self, root):
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self.root = Path(root)
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self.root.mkdir(parents=True, exist_ok=True)
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self.ledger = self.root / "ledger.csv"
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self.ledger.write_text("amount\n100.25\n-20.10\n5.00\n", encoding="utf-8")
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self.executions = 0
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def base_harness(self):
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return dict(BASE_TREE)
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def execute(self, label, harness):
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self.executions += 1
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work = self.root / "runs" / label
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work.mkdir(parents=True, exist_ok=True)
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write_tree(harness, work / "harness")
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proc = subprocess.run(
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[sys.executable, str(work / "harness" / "scripts" / "summarize.py"),
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str(self.ledger)], capture_output=True, text=True, timeout=10)
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out = proc.stdout.strip()
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return Rollout(label=label, ok=proc.returncode == 0,
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delivered=out.startswith("Total:"), deliverable_text=out,
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trajectory="[ACTION] Run scripts/summarize.py\n[OBSERVATION]\n" + out,
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cost_usd=0.01)
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def validate_tree(self, harness):
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if "scripts/summarize.py" not in harness:
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raise ValueError("The local executor requires scripts/summarize.py")
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class FixEditor:
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def edit(self, mission, context_dir, label):
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harness_dir = Path(context_dir) / "harness"
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script = harness_dir / "scripts" / "summarize.py"
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script.write_text(script.read_text().replace(" if a > 0", ""), encoding="utf-8")
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return EditResult(tree=read_tree(harness_dir),
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notes="Keep signed amounts: the base total omitted credits.")
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class PickSignedSelector:
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def select(self, mission, context_dir):
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for path in sorted((Path(context_dir) / "candidates").glob("*.md")):
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if "Total: 85.15" in path.read_text():
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return path.stem, "The signed total matches the source ledger.", 0.0
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raise ValueError("no candidate with the signed total")
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class LedgerReflector:
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def reflect(self, mission, context_dir):
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root = Path(context_dir)
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changed = (root / "harness" / "scripts" / "summarize.py").read_text() != (
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root / "base_harness" / "scripts" / "summarize.py").read_text()
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if not changed:
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return {}
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return {
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"cue": "When a ledger includes credits and debits",
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"lesson": "Include both signs when summing in scripts/summarize.py.",
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"evidence": "Removing the positive-only filter changed the probe total to "
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"include the credits omitted by the base trajectory.",
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"confidence": "high for this observed arithmetic contrast",
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}
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def main():
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ap = argparse.ArgumentParser()
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ap.add_argument("--mode", default="parallel", choices=["parallel", "sequential"])
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ap.add_argument("--k", type=int, default=1)
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ap.add_argument("--output", default="")
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args = ap.parse_args()
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tmp = None
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root = Path(args.output) if args.output else Path(tempfile.mkdtemp(prefix="h2demo-"))
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if not args.output:
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tmp = root
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adapter = LedgerAdapter(root)
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library = Library(root / "library", "accounting")
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result = improve_task(adapter, FixEditor(), selector=PickSignedSelector(),
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reflector=LedgerReflector(), work_dir=root / "work",
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k=args.k, mode=args.mode, library=library)
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chosen = result.mode_result.rollouts[result.selection.chosen_label]
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print(f"mode={result.mode} k={args.k} ok={result.ok}")
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print(f"executions={adapter.executions} (base + candidates + finals)")
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print(f"chosen={result.selection.chosen_label} deliverable={chosen.deliverable_text}")
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print(f"fell_back={result.mode_result.fell_back or 'none'}")
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print(f"library_entry={result.library_entry}")
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print(f"experience={result.experience.get('lesson', '(none)')}")
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print(f"work_dir={root}")
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assert chosen.deliverable_text == "Total: 85.15", "demo must end at the signed total"
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assert result.library_entry is not None, "demo must enter the library"
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print("demo OK: signed total adopted and stored in the library")
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_ = tmp
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if __name__ == "__main__":
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main()
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"""用真实 codex 任务跑一轮 Harness² 改进(接线层 CLI)。
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这会创建真实任务、花真实模型配额——所以默认只打印计划,不建任务:
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先跑一遍不带 --yes 看计划,确认项目、任务数与预算无误后,再带
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--yes 重跑。第一次请务必用测试项目,不要直接指生产项目。
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密钥不走命令行参数(ps 可见):用环境变量 CODEX_API_KEY。
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示例:
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export CODEX_API_KEY='...'
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python3 examples/harness2_run.py --base-url http://127.0.0.1:8765 \\
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--project-id <test-project> --prompt-file task.md \\
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--base-harness-dir ./my-base-harness --source-dir ./task-source \\
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--mode parallel --k 1 --budget 5 --output runs/h2-real-1
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# 看计划无误后,加 --yes 重跑(同一 run_tag 可断点续跑;想从头
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# 重跑就换 --run-tag 或不传,让它自动生成新的时间戳 tag)。
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base-harness-dir:一个目录,里面就是 harness 树(AGENTS.md、
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.agents/、scripts/、.codex/……),按原样读入;不存在或 AGENTS.md
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为空时直接报错,不跑。
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source-dir(可选):原任务需要的源文件,会随 harness 一起 seed 进
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每个探针任务的 worktree;与 harness 路径重名时 harness 优先。
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"""
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import argparse
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import os
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import sys
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import tempfile
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import time
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from pathlib import Path
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sys.path.insert(0, str(Path(__file__).resolve().parents[1]))
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from cloud.harness2 import read_tree # noqa: E402
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from cloud.harness2_tasks import ( # noqa: E402
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HttpTaskClient, run_improvement_via_tasks,
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)
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def _flatten(root: Path) -> dict[str, bytes]:
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out: dict[str, bytes] = {}
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if not root or not root.is_dir():
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return out
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for p in sorted(root.rglob("*")):
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if p.is_file() and not p.is_symlink() and "__pycache__" not in p.parts:
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out[str(p.relative_to(root))] = p.read_bytes()
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return out
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def main():
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ap = argparse.ArgumentParser()
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ap.add_argument("--base-url", required=True, help="控制面地址,如 http://127.0.0.1:8765")
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ap.add_argument("--project-id", required=True)
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ap.add_argument("--prompt", default="")
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ap.add_argument("--prompt-file", default="")
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ap.add_argument("--task-id", default="h2-task-1")
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ap.add_argument("--domain", default="general")
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ap.add_argument("--base-harness-dir", required=True)
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ap.add_argument("--source-dir", default="")
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ap.add_argument("--mode", default="parallel", choices=["parallel", "sequential"])
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ap.add_argument("--k", type=int, default=1)
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ap.add_argument("--budget", type=float, default=None)
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ap.add_argument("--run-tag", default="")
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ap.add_argument("--output", default="")
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ap.add_argument("--library-root", default="")
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ap.add_argument("--model", default=None)
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ap.add_argument("--effort", default=None)
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ap.add_argument("--approval", default=None)
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ap.add_argument("--environment-id", default=None)
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ap.add_argument("--executor", default=None)
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ap.add_argument("--no-time-limit", action="store_true")
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ap.add_argument("--timeout", type=int, default=3600)
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ap.add_argument("--yes", action="store_true", help="确认创建真实任务并消费配额")
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args = ap.parse_args()
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api_key = os.environ.get("CODEX_API_KEY")
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if not api_key:
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print("缺少 CODEX_API_KEY 环境变量(密钥不接受命令行参数)", file=sys.stderr)
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return 2
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prompt = args.prompt
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if args.prompt_file:
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prompt = Path(args.prompt_file).read_text(encoding="utf-8")
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if not prompt.strip():
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print("需要 --prompt 或 --prompt-file", file=sys.stderr)
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return 2
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base = read_tree(args.base_harness_dir)
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if not base.get("AGENTS.md", "").strip():
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print(f"base-harness-dir 里没有可用的 AGENTS.md:{args.base_harness_dir}",
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file=sys.stderr)
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return 2
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run_tag = args.run_tag or time.strftime("h2-%Y%m%d-%H%M%S")
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# 任务数(k=1 parallel):1 base + 2 候选 + 1 终版探针 + 3 编辑
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# + 1 选择 + 1 反思 = 9;sequential 同为 9;k 越大按 3k+? 线性涨,
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# 上限 k=3 时 parallel 为 1 + 6 + 3 探针 + 9 编辑 + 1 选择 + 1 反思 = 21。
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n_probes = 1 + 3 * args.k # 两种模式同款:1 base + 每轮 2 候选 + 1 终版
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n_edits = 3 * args.k
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plan = (f"计划:项目 {args.project_id},任务 {args.task_id},"
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f"mode={args.mode} k={args.k},run_tag={run_tag},"
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f"约 {n_probes} 个探针 + {n_edits} 个编辑 + 1 选择 + 1 反思 = "
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f"{n_probes + n_edits + 2} 个真实任务,"
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f"budget_usd={args.budget},base 文件 {len(base)} 个。")
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print(plan)
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if not args.yes:
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print("未带 --yes:只打印计划,不创建任何任务。确认无误后加 --yes 重跑。")
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return 0
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work_dir = Path(args.output) if args.output else Path(tempfile.mkdtemp(prefix="h2run-"))
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client = HttpTaskClient(args.base_url, api_key)
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result = run_improvement_via_tasks(
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client, project_id=args.project_id, task_id=args.task_id, prompt=prompt,
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base_harness=base, run_tag=run_tag, work_dir=work_dir, domain=args.domain,
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source_files=_flatten(Path(args.source_dir)) if args.source_dir else None,
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k=args.k, mode=args.mode,
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library_root=Path(args.library_root) if args.library_root else None,
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budget_usd=args.budget, model=args.model, effort=args.effort,
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approval=args.approval, environment_id=args.environment_id,
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executor=args.executor, no_time_limit=args.no_time_limit,
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timeout_seconds=args.timeout)
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d = result.to_dict()
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chosen = result.mode_result.rollouts.get(result.selection.chosen_label)
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print(f"ok={result.ok} chosen={result.selection.chosen_label} "
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f"fallback={result.selection.fallback} "
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f"fell_back={result.mode_result.fell_back or 'none'} "
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f"budget_exceeded={result.budget_exceeded}")
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print(f"deliverable={(chosen.deliverable_text if chosen else '')[:500]}")
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print(f"total_cost_usd={result.mode_result.total_cost_usd} "
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f"library_entry={result.library_entry}")
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print(f"work_dir={work_dir}")
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print(f"full_result={d}")
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return 0 if result.ok else 1
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if __name__ == "__main__":
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raise SystemExit(main())
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