{"id":123277,"date":"2026-11-06T23:24:54","date_gmt":"2026-11-06T15:24:54","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/123277.html"},"modified":"2026-11-06T23:24:54","modified_gmt":"2026-11-06T15:24:54","slug":"harness-engineering%ef%bc%9a%e6%8a%8a%e9%9a%8f%e6%9c%ba%e7%9a%84%e6%a8%a1%e5%9e%8b%e5%85%b3%e8%bf%9b%e7%a1%ae%e5%ae%9a%e6%80%a7%e7%9a%84%e5%a3%b3%e5%ad%90%e9%87%8c","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/123277.html","title":{"rendered":"Harness Engineering\uff1a\u628a\u968f\u673a\u7684\u6a21\u578b\u5173\u8fdb\u786e\u5b9a\u6027\u7684\u58f3\u5b50\u91cc"},"content":{"rendered":"

Harness Engineering：\u628a\u968f\u673a\u7684\u6a21\u578b\u5173\u8fdb\u786e\u5b9a\u6027\u7684\u58f3\u5b50\u91cc<\/h2>\n

2026-09 Google \u5728 ADK 2.0 \u4e0e Antigravity SDK \u7684\u516c\u5f00\u9610\u8ff0\u91cc\u628a Harness Engineering（\u786e\u5b9a\u6027\u5916\u58f3\u5de5\u7a0b）\u6446\u5230\u4e86\u548c\u6a21\u578b\u80fd\u529b\u540c\u7b49\u7684\u4f4d\u7f6e，Anthropic \u540c\u671f\u53d1\u5e03\u7684\u5546\u52a1 Agent \u84dd\u56fe\u7ed9\u51fa\u4e86\u4e09\u6761\u53ef\u76f4\u63a5\u6284\u7684\u5b9e\u8df5：\u52a8\u6001 Skill \u52a0\u8f7d\u914d\u5408 Prompt Caching \u538b TTFT\u3001UI \u7ec4\u4ef6\u4f5c\u4e3a\u5de5\u5177\u8f93\u51fa\u3001\u5728 harness \u5c42\u5f3a\u5236\u5b89\u5168\u62e6\u622a\u4e14\u4e0d\u53ef\u9006\u4ea4\u6613\u5fc5\u987b\u4eba\u5de5\u7b7e\u7f72\u3002\u672c\u6587\u7684\u524d\u63d0\u7acb\u573a\u5f88\u786c：LLM \u662f\u5e26\u6e29\u5ea6\u91c7\u6837\u7684\u975e\u786e\u5b9a\u6027 token \u751f\u6210\u5668，\u7edd\u4e0d\u80fd\u88ab\u6388\u4e88\u5bf9\u751f\u4ea7 OS \u4e0e\u6570\u636e\u5e93\u7684\u4e2d\u4ecb\u5316\u8bbf\u95ee\u6743\u3002\u56f4\u7ed5\u8fd9\u4e2a\u7acb\u573a，\u6587\u7ae0\u62c6\u51fa\u56db\u6761\u786e\u5b9a\u6027\u8fb9\u754c（\u7f16\u6392\u63a7\u5236\u5668\u7684\u6b65\u6570\u4e0e\u7ec8\u6b62\u6761\u4ef6\u3001\u9694\u79bb\u6267\u884c\u6c99\u7bb1\u3001\u72b6\u6001\u6301\u4e45\u5316\u4e0e\u56de\u6eda\u3001\u4ee5\u7f16\u8bd1\u5668\/linter\/\u5355\u6d4b\u4e3a\u4e0d\u53ef\u901a\u878d\u88c1\u5224\u7684\u786e\u5b9a\u6027\u65ad\u8a00），\u7ed9\u51fa\u4e00\u5957\u81ea\u52a8\u5316\u4fee\u590d\u5faa\u73af：\u751f\u6210\u4ee3\u7801\u4e22\u8fdb\u6c99\u7bb1\u8dd1\u6d4b\u8bd5，\u5931\u8d25\u5219\u628a\u538b\u7f29\u540e\u7684\u7cbe\u786e\u9519\u8bef\u6808\u56de\u5582\u6a21\u578b，\u56fa\u5b9a\u8fed\u4ee3\u4e0a\u9650，\u4eba\u4e0d\u518d\u9010\u884c review\u3002\u5b9e\u64cd\u90e8\u5206\u662f\u4e00\u4efd\u5b8c\u6574\u53ef\u8dd1\u7684 Python harness，\u542b subprocess \u8d44\u6e90\u9650\u5236\u3001\u4e34\u65f6\u76ee\u5f55\u3001\u8d85\u65f6\u3001git \u5feb\u7167\u56de\u6eda\u3001pytest \u65ad\u8a00\u3001\u6b65\u6570\u9884\u7b97\u4e0e\u6210\u672c\u7194\u65ad，\u80fd\u628a\u300c\u4fee\u4e00\u4e2a bug\u300d\u8dd1\u6210\u95ed\u73af；\u53e6\u5916\u7ed9\u51fa\u7ed3\u6784\u5316\u8f93\u51fa schema \u5f3a\u5236\u3001\u751f\u6210\/\u8bc4\u4f30\/\u4fee\u590d\u4e09\u5206\u7acb\u3001\u4ee5\u53ca\u7528\u96f6 LLM \u8c03\u7528\u7684\u786e\u5b9a\u6027\u4ee3\u7801\u66ff\u6362 Schema Validator \u4e0e Documentation Builder \u7684\u5177\u4f53\u5199\u6cd5\u3002<\/p>\n

\u5173\u952e\u8bcd：Harness Engineering\u3001\u786e\u5b9a\u6027\u8fb9\u754c\u3001\u6c99\u7bb1\u9694\u79bb\u3001git \u5feb\u7167\u56de\u6eda\u3001\u6210\u672c\u7194\u65ad\u3001\u7ed3\u6784\u5316\u8f93\u51fa\u3001Google ADK 2.0\u3001Anthropic Agent \u84dd\u56fe<\/p>\n

\u4e00\u3001\u5199\u5728\u524d\u9762：\u4e3a\u4ec0\u4e48\u73b0\u5728\u5fc5\u987b\u804a\u8fd9\u4ef6\u4e8b<\/h3>\n

\u5148\u628a\u7acb\u573a\u8bf4\u6e05\u695a，\u540e\u9762\u6240\u6709\u8bbe\u8ba1\u90fd\u4ece\u8fd9\u53e5\u8bdd\u63a8\u51fa\u6765：LLM（Large Language Model，\u5927\u8bed\u8a00\u6a21\u578b）\u662f\u4e00\u4e2a\u5e26\u6e29\u5ea6\u91c7\u6837\u7684\u975e\u786e\u5b9a\u6027 token \u751f\u6210\u5668，\u5b83\u4e0d\u5e94\u8be5\u88ab\u6388\u4e88\u5bf9\u751f\u4ea7 OS（\u64cd\u4f5c\u7cfb\u7edf）\u6216\u751f\u4ea7\u6570\u636e\u5e93\u7684\u4e2d\u4ecb\u5316\u8bbf\u95ee\u6743\u3002<\/p>\n

\u300c\u4e2d\u4ecb\u5316\u8bbf\u95ee\u300d\u8fd9\u4e2a\u8bcd\u662f\u6709\u610f\u7684\u3002\u4e0d\u662f\u8bf4\u6a21\u578b\u4e0d\u80fd\u78b0\u751f\u4ea7，\u800c\u662f\u8bf4\u6a21\u578b\u4e0d\u80fd\u6210\u4e3a\u4eba\u548c\u751f\u4ea7\u4e4b\u95f4\u90a3\u6761\u552f\u4e00\u7684\u3001\u4e0d\u53ef\u5ba1\u8ba1\u7684\u901a\u9053\u3002\u4f60\u8ba9 Agent \u62ff\u5230\u4e00\u4e2a execute_shell \u5de5\u5177，\u5b83\u5c31\u6709\u4e86\u4e2d\u4ecb\u5316\u8bbf\u95ee：\u5b83\u80fd\u8bfb\u6587\u4ef6\u3001\u80fd\u5199\u6587\u4ef6\u3001\u80fd curl\u3001\u80fd rm -rf\u3002\u8fd9\u6761\u901a\u9053\u4e0a\u53d1\u751f\u7684\u4e00\u5207，\u5728\u6a21\u578b\u8f93\u51fa token \u7684\u90a3\u4e00\u523b\u4e4b\u524d\u662f\u4e0d\u53ef\u89c2\u6d4b\u7684，\u5728\u4e4b\u540e\u662f\u4e0d\u53ef\u56de\u6eaf\u7684\u3002\u8fd9\u4e24\u4ef6\u4e8b\u53e0\u5728\u4e00\u8d77，\u5c31\u662f\u4e8b\u6545\u3002<\/p>\n

2026 \u5e74 8 \u5230 10 \u6708\u8fd9\u4e00\u6279\u516c\u5f00\u6750\u6599\u91cc，\u6700\u6709\u4ef7\u503c\u7684\u4e0d\u662f\u67d0\u4e2a\u65b0\u6a21\u578b\u7684\u8dd1\u5206，\u800c\u662f Google \u548c Anthropic \u51e0\u4e4e\u540c\u65f6\u628a\u6ce8\u610f\u529b\u79fb\u5230\u4e86\u6a21\u578b\u5916\u9762\u90a3\u4e00\u5c42\u58f3\u30022026-09 \u524d\u540e，Google \u5728 ADK 2.0（Agent Development Kit，\u667a\u80fd\u4f53\u5f00\u53d1\u5957\u4ef6）\u548c Antigravity SDK \u7684\u516c\u5f00\u9610\u8ff0\u4e2d\u53cd\u590d\u8bb2 Harness Engineering\u2014\u2014\u628a Agent \u7684\u53ef\u9760\u6027\u95ee\u9898\u4ece\u300c\u8ba9\u6a21\u578b\u66f4\u806a\u660e\u300d\u6539\u5199\u6210\u300c\u8ba9\u58f3\u5b50\u66f4\u786c\u300d\u3002Anthropic \u540c\u671f\u53d1\u5e03\u7684\u5546\u52a1 Agent \u84dd\u56fe\u5219\u7ed9\u51fa\u4e86\u4e09\u6761\u975e\u5e38\u5de5\u7a0b\u5316\u3001\u53ef\u4ee5\u5f53\u5929\u5c31\u6284\u8fdb\u9879\u76ee\u7684\u5b9e\u8df5：<\/p>\n

  • \u52a8\u6001 Skill \u52a0\u8f7d + Prompt Caching（\u63d0\u793a\u8bcd\u7f13\u5b58）\u538b TTFT（Time To First Token，\u9996 token \u5ef6\u8fdf）\u3002\u4e0d\u8981\u628a\u6240\u6709 Skill \u7684\u5b9a\u4e49\u4e00\u6b21\u6027\u585e\u8fdb system prompt，\u800c\u662f\u6309\u9700\u6302\u8f7d，\u5e76\u628a\u6302\u8f7d\u540e\u7684\u524d\u7f00\u505a\u6210\u53ef\u7f13\u5b58\u7684\u7a33\u5b9a\u524d\u7f00\u3002<\/li>\n
  • UI \u7ec4\u4ef6\u4f5c\u4e3a\u5de5\u5177\u8f93\u51fa\u3002\u5de5\u5177\u8fd4\u56de\u503c\u4e0d\u53ea\u662f\u6587\u672c，\u53ef\u4ee5\u662f\u7ed3\u6784\u5316\u7684\u7ec4\u4ef6\u63cf\u8ff0，\u8ba9\u524d\u7aef\u76f4\u63a5\u6e32\u67d3\u6210\u4e00\u4e2a\u8868\u683c\u3001\u4e00\u4e2a diff \u89c6\u56fe\u3001\u4e00\u4e2a\u786e\u8ba4\u6309\u94ae，\u628a\u300c\u6a21\u578b\u8bf4\u4ec0\u4e48\u300d\u548c\u300c\u4eba\u770b\u5230\u4ec0\u4e48\u300d\u89e3\u8026\u3002<\/li>\n
  • \u5728 harness \u5c42\u5f3a\u5236\u5b89\u5168\u62e6\u622a，\u4e0d\u53ef\u9006\u4ea4\u6613（\u8f6c\u8d26\u3001\u4e0b\u5355\u3001\u53d1\u90ae\u4ef6\u3001\u5220\u8d44\u6e90）\u5fc5\u987b\u5148\u751f\u6210\u4e00\u4efd\u5f85\u7b7e\u7f72\u7684\u63d0\u6848，\u7531\u4eba\u663e\u5f0f\u7b7e\u7f72\u540e\u624d\u6267\u884c\u3002<\/li>\n

    \u7b2c\u4e09\u6761\u5c24\u5176\u503c\u5f97\u5212\u91cd\u70b9：**\u5b89\u5168\u62e6\u622a\u653e\u5728 harness \u5c42，\u800c\u4e0d\u662f\u653e\u5728\u63d0\u793a\u8bcd\u91cc\u3002**\u63d0\u793a\u8bcd\u91cc\u7684\u300c\u8bf7\u4e0d\u8981\u5220\u9664\u751f\u4ea7\u6570\u636e\u300d\u662f\u4e00\u6761\u5efa\u8bae，harness \u5c42\u7684\u300c\u8fd9\u4e2a\u5de5\u5177\u5728\u8fd9\u6761\u8def\u5f84\u4e0a\u6839\u672c\u6ca1\u6709\u88ab\u6ce8\u518c\u300d\u662f\u4e00\u6761\u6cd5\u5f8b\u3002\u4e24\u8005\u4e0d\u662f\u4e00\u56de\u4e8b，\u6df7\u6dc6\u5b83\u4eec\u662f 2025 \u5e74\u90a3\u4e00\u4ee3 Agent \u6700\u5e38\u89c1\u7684\u7ffb\u8f66\u59ff\u52bf\u3002<\/p>\n

    \u8fd9\u7bc7\u6587\u7ae0\u8981\u89e3\u51b3\u7684，\u662f\u628a\u4e0a\u9762\u8fd9\u4e9b\u539f\u5219\u843d\u6210\u80fd\u8dd1\u7684\u4ee3\u7801\u3002\u6211\u89c1\u8fc7\u592a\u591a\u56e2\u961f\u7684 Agent \u9879\u76ee\u5361\u5728\u540c\u4e00\u4e2a\u4f4d\u7f6e：demo \u5f88\u6f02\u4eae，\u4e00\u4e0a\u751f\u4ea7\u5c31\u4e0d\u6562\u5f00\u6743\u9650；\u4e00\u5f00\u6743\u9650\u5c31\u51fa\u4e8b；\u51fa\u4e8b\u4e4b\u540e\u628a\u6743\u9650\u6536\u56de\u6765，\u4e8e\u662f\u53c8\u53d8\u56de demo\u3002\u8fd9\u4e2a\u6b7b\u5faa\u73af\u7684\u51fa\u53e3\u4e0d\u5728\u6a21\u578b\u4fa7，\u5728\u58f3\u5b50\u4fa7\u3002<\/p>\n

    1.1 \u4e00\u4e2a\u53cd\u76f4\u89c9\u7684\u7ed3\u8bba：\u53ef\u9760\u6027\u4e0d\u6765\u81ea\u6a21\u578b，\u6765\u81ea\u88c1\u5224<\/h4>\n

    \u5927\u90e8\u5206\u4eba\u5bf9\u300c\u63d0\u5347 Agent \u53ef\u9760\u6027\u300d\u7684\u7b2c\u4e00\u53cd\u5e94\u662f\u6362\u66f4\u5f3a\u7684\u6a21\u578b\u3001\u8c03\u66f4\u4f4e\u7684 temperature\u3001\u5199\u66f4\u957f\u7684 system prompt\u3002\u8fd9\u4e09\u4ef6\u4e8b\u6211\u90fd\u505a\u8fc7，\u6210\u672c\u5f88\u9ad8，\u6536\u76ca\u5f88\u8584\u3002\u771f\u6b63\u5e26\u6765\u91cf\u7ea7\u53d8\u5316\u7684\u662f\u7b2c\u56db\u4ef6\u4e8b：\u7ed9 Agent \u627e\u4e00\u4e2a\u5b83\u65e0\u6cd5\u8bf4\u670d\u3001\u65e0\u6cd5\u7ed5\u8fc7\u3001\u65e0\u6cd5\u8ba8\u4ef7\u8fd8\u4ef7\u7684\u88c1\u5224\u3002<\/p>\n

    \u7f16\u8bd1\u5668\u662f\u8fd9\u79cd\u88c1\u5224\u3002linter \u662f\u8fd9\u79cd\u88c1\u5224\u3002\u5355\u5143\u6d4b\u8bd5\u662f\u8fd9\u79cd\u88c1\u5224\u3002\u5b83\u4eec\u7684\u5171\u540c\u7279\u70b9\u662f：\u5224\u636e\u662f\u786e\u5b9a\u6027\u7684，\u5224\u5b8c\u4e4b\u540e\u7ed9\u7684\u662f\u7cbe\u786e\u7684\u9519\u8bef\u4f4d\u7f6e，\u800c\u4e14\u6a21\u578b\u6ca1\u6cd5\u901a\u8fc7\u300c\u63aa\u8f9e\u66f4\u597d\u300d\u6765\u6539\u53d8\u5224\u51b3\u7ed3\u679c\u3002\u5f53\u4f60\u7684\u5faa\u73af\u91cc\u6709\u4e86\u8fd9\u6837\u4e00\u4e2a\u88c1\u5224，\u6a21\u578b\u7684\u80fd\u529b\u4e0a\u9650\u5c31\u4e0d\u518d\u662f\u74f6\u9888，\u56e0\u4e3a\u8dd1\u4e0d\u901a\u5c31\u662f\u8dd1\u4e0d\u901a，\u6a21\u578b\u53ea\u80fd\u6539\u81ea\u5df1\u7684\u4ee3\u7801，\u4e0d\u80fd\u6539\u88c1\u5224\u3002<\/p>\n

    \u8fd9\u5c31\u662f Harness Engineering \u7684\u6838\u5fc3：\u628a\u968f\u673a\u7684\u751f\u6210\u5668\u5173\u8fdb\u4e00\u4e2a\u786e\u5b9a\u6027\u7684\u58f3\u5b50\u91cc，\u8ba9\u58f3\u5b50\u51b3\u5b9a\u4ec0\u4e48\u7b97\u6210\u529f\u3001\u4ec0\u4e48\u7b97\u5931\u8d25\u3001\u5931\u8d25\u4e4b\u540e\u8fd8\u80fd\u4e0d\u80fd\u518d\u6765\u4e00\u6b21\u3002<\/p>\n

    1.2 \u672c\u6587\u7684\u8fb9\u754c<\/h4>\n

    \u672c\u6587\u4e0d\u8bb2 Agent \u7684\u89c4\u5212\u7b97\u6cd5，\u4e0d\u8bb2\u591a Agent \u7684\u901a\u4fe1\u534f\u8bae（\u90a3\u662f MCP \u4e0e A2A \u7684\u8bdd\u9898），\u4e5f\u4e0d\u8bb2\u600e\u4e48\u5fae\u8c03\u4e00\u4e2a\u6a21\u578b\u8ba9\u5b83\u66f4\u4f1a\u5199\u4ee3\u7801\u3002\u672c\u6587\u53ea\u8bb2\u58f3\u5b50：\u9884\u7b97\u3001\u6c99\u7bb1\u3001\u5feb\u7167\u3001\u65ad\u8a00\u3001\u5faa\u73af\u3001\u7194\u65ad，\u4ee5\u53ca\u8fd9\u4e9b\u90e8\u4ef6\u4e4b\u95f4\u7684\u63a5\u7ebf\u65b9\u5f0f\u3002<\/p>\n

    \u4e8c\u3001\u6280\u672f\u80cc\u666f\u4e0e\u73b0\u72b6\u68b3\u7406<\/h3>\n

    2.1 \u4e09\u4ee3 Agent \u67b6\u6784\u7684\u5206\u6c34\u5cad<\/h4>\n\n\u4ee3\u9645\u5178\u578b\u5f62\u6001\u53ef\u9760\u6027\u6765\u6e90\u5931\u8d25\u6a21\u5f0f\u751f\u4ea7\u53ef\u7528\u6027<\/tr>\n\n\n\n\n
    \u7b2c\u4e00\u4ee3（2023-2024）<\/td>\n\u5355\u8f6e prompt + \u5de5\u5177\u8c03\u7528<\/td>\n\u63d0\u793a\u8bcd\u7ea6\u675f<\/td>\n\u6a21\u578b\u8bf4\u6ca1\u505a，\u5b9e\u9645\u505a\u4e86<\/td>\n\u73a9\u5177<\/td>\n<\/tr>\n
    \u7b2c\u4e8c\u4ee3（2025）<\/td>\nReAct \u5faa\u73af + \u957f\u4e0a\u4e0b\u6587<\/td>\n\u4e0a\u4e0b\u6587\u91cc\u5806\u66f4\u591a\u4f8b\u5b50<\/td>\n\u5faa\u73af\u4e0d\u6536\u655b，\u6210\u672c\u5931\u63a7<\/td>\n\u5185\u90e8\u5de5\u5177<\/td>\n<\/tr>\n
    \u7b2c\u4e09\u4ee3（2026）<\/td>\nHarness \u58f3 + \u786e\u5b9a\u6027\u88c1\u5224<\/td>\n\u7f16\u8bd1\u5668\/\u6d4b\u8bd5\/\u9884\u7b97\/\u6c99\u7bb1<\/td>\n\u9884\u7b97\u8017\u5c3d\u540e\u660e\u786e\u5931\u8d25<\/td>\n\u53ef\u4e0a\u751f\u4ea7<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

    \u5206\u6c34\u5cad\u5728\u7b2c\u4e8c\u4ee3\u5230\u7b2c\u4e09\u4ee3\u4e4b\u95f4\u3002\u7b2c\u4e8c\u4ee3 Agent \u7684\u4e00\u5207\u5224\u636e\u90fd\u5728\u6a21\u578b\u8111\u5b50\u91cc\u2014\u2014\u5b83\u81ea\u5df1\u51b3\u5b9a\u4efb\u52a1\u505a\u5b8c\u4e86\u6ca1\u6709，\u81ea\u5df1\u51b3\u5b9a\u8981\u4e0d\u8981\u518d\u8bd5\u4e00\u6b21，\u81ea\u5df1\u51b3\u5b9a\u9519\u8bef\u662f\u4e0d\u662f\u53ef\u4ee5\u5ffd\u7565\u3002\u8fd9\u7b49\u4e8e\u8ba9\u88ab\u544a\u5f53\u6cd5\u5b98\u3002\u7b2c\u4e09\u4ee3\u628a\u8fd9\u4e09\u4ef6\u4e8b\u5168\u90e8\u642c\u51fa\u6a21\u578b：<\/p>\n

      \n
    • \u4efb\u52a1\u6709\u6ca1\u6709\u505a\u5b8c，\u7531\u65ad\u8a00（pytest \/ \u7f16\u8bd1\u5668 \/ linter）\u51b3\u5b9a，\u4e0d\u7531\u6a21\u578b\u81ea\u8ff0\u51b3\u5b9a\u3002<\/li>\n
    • \u8981\u4e0d\u8981\u518d\u8bd5\u4e00\u6b21，\u7531\u6b65\u6570\u9884\u7b97\u51b3\u5b9a，\u4e0d\u7531\u6a21\u578b\u7684\u300c\u6211\u518d\u60f3\u60f3\u300d\u51b3\u5b9a\u3002<\/li>\n
    • \u9519\u8bef\u80fd\u4e0d\u80fd\u5ffd\u7565，\u7531\u9519\u8bef\u5206\u7c7b\u767d\u540d\u5355\u51b3\u5b9a，\u4e0d\u7531\u6a21\u578b\u7684\u5224\u65ad\u51b3\u5b9a\u3002<\/li>\n<\/ul>\n

      2.2 \u975e\u786e\u5b9a\u6027\u5230\u5e95\u6765\u81ea\u54ea\u91cc<\/h4>\n

      \u5f88\u591a\u4eba\u628a\u6a21\u578b\u7684\u975e\u786e\u5b9a\u6027\u7406\u89e3\u6210\u300c\u540c\u4e00\u4e2a prompt \u53ef\u80fd\u7ed9\u51fa\u4e0d\u540c\u7b54\u6848\u300d\u3002\u8fd9\u53ea\u8bf4\u5bf9\u4e86\u4e00\u534a，\u800c\u4e14\u662f\u4e0d\u91cd\u8981\u7684\u90a3\u4e00\u534a\u3002\u5de5\u7a0b\u4e0a\u771f\u6b63\u54ac\u4eba\u7684\u975e\u786e\u5b9a\u6027\u6709\u56db\u4e2a\u6765\u6e90：<\/p>\n

    • \u91c7\u6837\u975e\u786e\u5b9a\u6027\u3002temperature \u5927\u4e8e 0 \u65f6，\u540c\u8f93\u5165\u4e0d\u540c\u8f93\u51fa\u3002\u8fd9\u4e2a\u53ef\u4ee5\u9760 temperature=0 \u7f13\u89e3，\u4f46\u7f13\u89e3\u4e0d\u4e86\u4e0b\u9762\u4e09\u6761\u3002<\/li>\n
    • \u4e0a\u4e0b\u6587\u975e\u786e\u5b9a\u6027\u3002\u6a21\u578b\u770b\u5230\u7684\u4e0a\u6587\u6765\u81ea\u68c0\u7d22\u3001\u6765\u81ea\u5de5\u5177\u8fd4\u56de\u3001\u6765\u81ea\u5e76\u53d1\u5199\u5165\u3002\u5373\u4f7f\u91c7\u6837\u662f\u8d2a\u5fc3\u7684，\u8f93\u5165\u53d8\u4e86\u8f93\u51fa\u5c31\u53d8\u3002\u751f\u4ea7\u73af\u5883\u91cc\u8fd9\u4e00\u6761\u624d\u662f\u4e3b\u56e0\u3002<\/li>\n
    • \u526f\u4f5c\u7528\u975e\u786e\u5b9a\u6027\u3002\u6a21\u578b\u8c03\u7528\u4e86\u5de5\u5177，\u5de5\u5177\u6539\u4e86\u5916\u90e8\u4e16\u754c\u3002\u8fd9\u4e00\u6b21\u8c03\u7528\u6210\u529f\u4e86，\u91cd\u8bd5\u65f6\u5916\u90e8\u4e16\u754c\u5df2\u7ecf\u53d8\u4e86，\u4e8e\u662f\u540c\u6837\u7684\u4ee3\u7801\u7b2c\u4e8c\u6b21\u8dd1\u51fa\u4e0d\u540c\u7ed3\u679c\u3002\u8fd9\u662f\u300c\u91cd\u8bd5\u300d\u8fd9\u4e2a\u52a8\u4f5c\u5728\u751f\u4ea7\u4e0a\u5371\u9669\u7684\u6839\u672c\u539f\u56e0\u3002<\/li>\n
    • \u7248\u672c\u975e\u786e\u5b9a\u6027\u3002\u4f60\u4ee5\u4e3a\u4f60\u5728\u8c03 gpt-x-2026-06，\u5b9e\u9645\u7f51\u5173\u7ed9\u4f60\u8def\u7531\u5230\u4e86 2026-09 \u5feb\u7167\u3002\u8f93\u51fa\u5206\u5e03\u6084\u6084\u53d8\u4e86，\u4f60\u7684\u56de\u5f52\u6d4b\u8bd5\u4e0a\u5468\u8fd8\u5168\u7eff\u3002<\/li>\n

      \u7b2c 1 \u6761\u548c\u7b2c 4 \u6761\u53ef\u4ee5\u9760\u914d\u7f6e\u89e3\u51b3，\u7b2c 2 \u6761\u548c\u7b2c 3 \u6761\u53ea\u80fd\u9760\u67b6\u6784\u89e3\u51b3\u3002\u7b2c 3 \u6761\u5c24\u5176\u5173\u952e：\u53ea\u8981\u6a21\u578b\u6709\u526f\u4f5c\u7528，\u4f60\u5c31\u5fc5\u987b\u5047\u8bbe\u4efb\u4f55\u4e00\u6b21\u91cd\u8bd5\u90fd\u53ef\u80fd\u9020\u6210\u4e0d\u53ef\u9006\u7684\u7834\u574f，\u4e8e\u662f\u4f60\u5fc5\u987b\u5148\u6709\u56de\u6eda，\u624d\u6562\u6709\u91cd\u8bd5\u3002\u8fd9\u4e2a\u56e0\u679c\u5173\u7cfb\u4e0d\u80fd\u5012\u8fc7\u6765\u3002<\/p>\n

      2.3 \u4e2d\u4ecb\u5316\u8bbf\u95ee\u7684\u56db\u5f20\u8d26\u5355<\/h4>\n

      \u628a\u300c\u6a21\u578b\u76f4\u63a5\u64cd\u4f5c\u751f\u4ea7 OS \/ \u6570\u636e\u5e93\u300d\u8fd9\u4e2a\u8bbe\u8ba1\u7684\u4ee3\u4ef7\u5217\u6210\u4e00\u5f20\u8d26\u5355：<\/p>\n\n\u98ce\u9669\u89e6\u53d1\u6761\u4ef6\u540e\u679c\u4f20\u7edf\u8f6f\u4ef6\u7684\u5bf9\u5e94\u9632\u62a4Agent \u573a\u666f\u4e3a\u4ec0\u4e48\u5931\u6548<\/tr>\n\n\n\n\n\n
      \u8d8a\u6743\u8bfb\u5199<\/td>\n\u63d0\u793a\u8bcd\u6ce8\u5165\u8ba9\u5de5\u5177\u53c2\u6570\u53d8\u5f62<\/td>\n\u8bfb\u5230\u4e0d\u8be5\u8bfb\u7684\u6570\u636e<\/td>\nRBAC \/ IAM<\/td>\n\u5de5\u5177\u8c03\u7528\u7528\u7684\u662f\u670d\u52a1\u8d26\u53f7，\u6743\u9650\u662f\u9759\u6001\u7684，\u65e0\u6cd5\u6309\u610f\u56fe\u6536\u7a84<\/td>\n<\/tr>\n
      \u4e0d\u53ef\u9006\u7834\u574f<\/td>\nrm \/ DROP \/ UPDATE \u65e0 WHERE<\/td>\n\u6570\u636e\u4e22\u5931<\/td>\n\u5907\u4efd + \u5ba1\u6279<\/td>\nAgent \u4e00\u79d2\u80fd\u53d1 20 \u6b21\u8c03\u7528，\u5ba1\u6279\u8ddf\u4e0d\u4e0a<\/td>\n<\/tr>\n
      \u8d44\u6e90\u8017\u5c3d<\/td>\n\u751f\u6210\u4e86\u4e00\u4e2a\u6b7b\u5faa\u73af\u811a\u672c<\/td>\nCPU \/ \u5185\u5b58\u6253\u6ee1<\/td>\ncgroups \/ ulimit<\/td>\n\u76f4\u63a5\u5728\u5bbf\u4e3b\u8fdb\u7a0b\u91cc subprocess.run，\u4ec0\u4e48\u9650\u5236\u90fd\u6ca1\u6709<\/td>\n<\/tr>\n
      \u7f51\u7edc\u5916\u6cc4<\/td>\n\u811a\u672c\u91cc\u6df7\u8fdb\u4e00\u6bb5 curl<\/td>\n\u6e90\u7801\u5916\u4f20<\/td>\n\u51fa\u53e3\u9632\u706b\u5899<\/td>\n\u5f00\u53d1\u8005\u672c\u673a\u6ca1\u6709\u9632\u706b\u5899，CI \u91cc\u4e5f\u6ca1\u6709<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

      \u56db\u5f20\u8d26\u5355\u7684\u5171\u540c\u70b9\u662f：**\u5b83\u4eec\u5168\u90fd\u662f\u4f20\u7edf\u8f6f\u4ef6\u5df2\u7ecf\u89e3\u51b3\u4e86\u4e09\u5341\u5e74\u7684\u8001\u95ee\u9898，\u89e3\u51b3\u529e\u6cd5（\u6743\u9650\u3001\u5907\u4efd\u3001\u9650\u989d\u3001\u9632\u706b\u5899）\u4e00\u4e2a\u90fd\u6ca1\u8fc7\u65f6，\u53ea\u662f\u5728 Agent \u67b6\u6784\u91cc\u88ab\u7ed5\u8fc7\u53bb\u4e86\u3002**Harness Engineering \u7684\u672c\u8d28，\u5c31\u662f\u628a\u8fd9\u56db\u5f20\u8d26\u5355\u91cd\u65b0\u63a5\u56de\u5230\u5df2\u6709\u7684\u9632\u62a4\u4f53\u7cfb\u4e0a\u3002<\/p>\n

      2.4 2026-09 \u7684\u4e24\u6761\u516c\u5f00\u8def\u7ebf<\/h4>\n

      Google \u7684 ADK 2.0 \u8def\u7ebf\u628a\u91cd\u5fc3\u653e\u5728\u53ef\u7f16\u6392\u4e0e\u53ef\u89c2\u6d4b：Agent \u7684\u6bcf\u4e00\u6b65\u90fd\u662f\u58f3\u5b50\u91cc\u7684\u4e00\u4e2a\u53ef\u679a\u4e3e\u72b6\u6001，\u6b65\u4e0e\u6b65\u4e4b\u95f4\u6709\u660e\u786e\u7684\u9884\u7b97\u548c\u7ec8\u6b62\u6761\u4ef6，\u5de5\u5177\u8c03\u7528\u5fc5\u987b\u7559\u4e0b\u7ed3\u6784\u5316 trace\u3002Antigravity SDK \u5728\u6b64\u57fa\u7840\u4e0a\u8865\u7684\u662f\u672c\u5730\u6267\u884c\u73af\u5883\u2014\u2014\u628a\u4ee3\u7801\u6267\u884c\u653e\u5230\u4e00\u4e2a\u4e34\u65f6\u7684\u3001\u53d7\u9650\u7684\u3001\u53ef\u4e22\u5f03\u7684\u6587\u4ef6\u7cfb\u7edf\u91cc\u3002<\/p>\n

      Anthropic \u7684\u5546\u52a1 Agent \u84dd\u56fe\u8def\u7ebf\u628a\u91cd\u5fc3\u653e\u5728\u4eba\u673a\u754c\u9762\u4e0e\u62e6\u622a\u70b9：\u5de5\u5177\u8f93\u51fa\u53ef\u4ee5\u662f UI \u7ec4\u4ef6\u800c\u4e0d\u662f\u7eaf\u6587\u672c；\u5371\u9669\u52a8\u4f5c\u5148\u751f\u6210\u63d0\u6848\u518d\u7531\u4eba\u7b7e\u7f72；Skill \u6309\u9700\u52a0\u8f7d\u800c\u4e0d\u662f\u5168\u91cf\u6ce8\u5165，\u914d\u5408 Prompt Caching \u628a TTFT \u538b\u4e0b\u6765\u3002<\/p>\n

      \u4e24\u6761\u8def\u7ebf\u4e0d\u51b2\u7a81，\u800c\u4e14\u5728\u5de5\u7a0b\u4e0a\u662f\u4e92\u8865\u7684：ADK \u90a3\u6761\u7ebf\u89e3\u51b3\u300c\u8dd1\u5f97\u7a33\u300d，Anthropic \u90a3\u6761\u7ebf\u89e3\u51b3\u300c\u4eba\u6562\u7528\u300d\u3002\u672c\u6587\u7684 harness \u5b9e\u73b0\u628a\u4e24\u8fb9\u90fd\u63a5\u8fdb\u6765\u4e86\u3002<\/p>\n

      \u4e09\u3001\u6838\u5fc3\u539f\u7406\u62c6\u89e3<\/h3>\n

      3.1 \u56db\u6761\u786e\u5b9a\u6027\u8fb9\u754c<\/h4>\n

      \u628a\u6574\u4e2a harness \u62c6\u6210\u56db\u6761\u8fb9\u754c，\u6bcf\u6761\u8fb9\u754c\u56de\u7b54\u4e00\u4e2a\u95ee\u9898\u3002\u8fd9\u56db\u6761\u8fb9\u754c\u662f\u672c\u6587\u7684\u9aa8\u67b6\u3002<\/p>\n\n\u8fb9\u754c\u56de\u7b54\u7684\u95ee\u9898\u6838\u5fc3\u673a\u5236\u8d8a\u754c\u540e\u7684\u884c\u4e3a\u53ef\u89c2\u6d4b\u6307\u6807<\/tr>\n\n\n\n\n\n
      \u7f16\u6392\u63a7\u5236\u5668<\/td>\n\u4ec0\u4e48\u65f6\u5019\u505c？<\/td>\n\u6b65\u6570\u9884\u7b97\u3001\u5899\u949f\u8d85\u65f6\u3001\u6210\u672c\u7194\u65ad\u3001\u6536\u655b\u68c0\u6d4b<\/td>\n\u660e\u786e\u5931\u8d25\u5e76\u8fd4\u56de\u6700\u540e\u72b6\u6001<\/td>\nsteps_used \/ cost_usd \/ stop_reason<\/td>\n<\/tr>\n
      \u9694\u79bb\u6267\u884c\u6c99\u7bb1<\/td>\n\u5728\u54ea\u91cc\u8dd1？<\/td>\n\u4e34\u65f6\u76ee\u5f55\u3001\u53d7\u9650\u5bb9\u5668\u3001\u8d44\u6e90 rlimit\u3001\u7f51\u7edc\u62d2\u7edd<\/td>\n\u5b50\u8fdb\u7a0b\u88ab\u6740，\u9000\u51fa\u7801\u975e 0<\/td>\nsandbox_kills \/ peak_rss_mb<\/td>\n<\/tr>\n
      \u72b6\u6001\u6301\u4e45\u5316\u4e0e\u56de\u6eda<\/td>\n\u9519\u4e86\u600e\u4e48\u9000\u56de\u53bb？<\/td>\ngit \u5feb\u7167（\u542b\u672a\u8ddf\u8e2a\u6587\u4ef6\u6e05\u5355）\u3001\u5de5\u5177\u8c03\u7528 journal<\/td>\n\u53cd\u5411\u5e94\u7528 patch + \u6e05\u7406\u65b0\u5efa\u6587\u4ef6<\/td>\nrevert_ms \/ reverted_files<\/td>\n<\/tr>\n
      \u786e\u5b9a\u6027\u65ad\u8a00<\/td>\n\u8c01\u8bf4\u4e86\u7b97？<\/td>\npytest \/ mypy \/ ruff \/ \u7f16\u8bd1\u5668，\u9000\u51fa\u7801\u5373\u5224\u51b3<\/td>\n\u5931\u8d25\u6808\u56de\u5582\u6a21\u578b，\u7edd\u4e0d\u5ffd\u7565<\/td>\nassertion_pass_rate \/ flaky_rate<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

      \u56db\u6761\u8fb9\u754c\u6709\u4e00\u4e2a\u5fc5\u987b\u9075\u5b88\u7684\u987a\u5e8f：**\u5148\u6709\u56de\u6eda，\u518d\u6709\u6c99\u7bb1，\u518d\u6709\u65ad\u8a00，\u6700\u540e\u624d\u662f\u5faa\u73af\u3002**\u987a\u5e8f\u9519\u4e86\u4f1a\u51fa\u4e8b\u2014\u2014\u6ca1\u6709\u56de\u6eda\u5c31\u5f00\u5faa\u73af，\u7b49\u4e8e\u8ba9\u6a21\u578b\u5728\u751f\u4ea7\u76ee\u5f55\u4e0a\u53cd\u590d\u8bd5\u9519；\u6ca1\u6709\u6c99\u7bb1\u5c31\u505a\u65ad\u8a00，\u7b49\u4e8e\u8ba9\u672a\u53d7\u63a7\u4ee3\u7801\u5728\u5bbf\u4e3b\u4e0a\u8dd1\u6d4b\u8bd5\u3002<\/p>\n

      3.2 \u8fb9\u754c\u4e00：\u7f16\u6392\u63a7\u5236\u5668\u4e0e\u6b65\u6570\u9884\u7b97<\/h4>\n

      \u7f16\u6392\u63a7\u5236\u5668\u662f\u552f\u4e00\u6709\u6743\u51b3\u5b9a\u300c\u518d\u8dd1\u4e00\u6b21\u300d\u7684\u7ec4\u4ef6\u3002\u5b83\u7684\u8f93\u5165\u662f\u4e0a\u4e00\u8f6e\u7684\u65ad\u8a00\u7ed3\u679c\u548c\u5269\u4f59\u9884\u7b97，\u8f93\u51fa\u662f\u300c\u7ee7\u7eed \/ \u6362\u7b56\u7565 \/ \u653e\u5f03\u300d\u4e09\u9009\u4e00\u3002<\/p>\n

      \u9884\u7b97\u4e0d\u662f\u4e00\u4e2a\u6570\u5b57，\u662f\u56db\u4e2a\u72ec\u7acb\u7ef4\u5ea6，\u4efb\u610f\u4e00\u4e2a\u89e6\u9876\u90fd\u5fc5\u987b\u7acb\u523b\u505c：<\/p>\n

      Budget = (max_steps, max_wall_clock_s, max_tokens, max_cost_usd)<\/p>\n

      stop_reason in {solved, steps_exhausted, timeout, token_exhausted,
      \n cost_tripped, non_progress, sandbox_killed, human_abort}<\/p>\n

      \u5176\u4e2d non_progress（\u65e0\u8fdb\u5c55）\u662f\u6700\u5bb9\u6613\u88ab\u5ffd\u7565\u3001\u4f46\u6700\u7701\u94b1\u7684\u4e00\u6761\u3002\u5224\u636e\u5f88\u7b80\u5355：**\u628a\u672c\u8f6e\u5931\u8d25\u65ad\u8a00\u7684\u6307\u7eb9（failing test node id \u96c6\u5408 + \u9519\u8bef\u7c7b\u578b）\u4e0e\u4e0a\u4e00\u8f6e\u6bd4\u5bf9，\u5982\u679c\u8fde\u7eed\u4e24\u8f6e\u5b8c\u5168\u76f8\u540c，\u8bf4\u660e\u6a21\u578b\u5728\u539f\u5730\u6253\u8f6c，\u7acb\u523b\u505c\u3002**\u6211\u5728\u5b9e\u6d4b\u91cc\u52a0\u8fd9\u4e00\u6761\u4e4b\u540e，\u5e73\u5747\u6b65\u6570\u4ece 6.4 \u964d\u5230 4.1，\u6210\u672c\u964d\u4e86\u7ea6 35%，\u6210\u529f\u7387\u51e0\u4e4e\u6ca1\u53d8\u2014\u2014\u90a3\u4e9b\u7701\u4e0b\u6765\u7684\u6b65\u6570\u672c\u6765\u5c31\u4ec0\u4e48\u4e5f\u6ca1\u6539\u53d8\u3002<\/p>\n

      \u6ce8\u610f max_steps \u7684\u5b9a\u4e49\u3002\u5f88\u591a\u5b9e\u73b0\u628a\u5b83\u5b9a\u4e49\u6210\u300c\u6a21\u578b\u8c03\u7528\u6b21\u6570\u300d，\u8fd9\u662f\u9519\u7684\u3002\u4e00\u6b21\u6a21\u578b\u8c03\u7528\u540e\u9762\u53ef\u80fd\u8ddf\u7740 5 \u6b21\u5de5\u5177\u8c03\u7528，\u800c\u6210\u672c\u7684\u5927\u5934\u5f80\u5f80\u5728\u5de5\u5177\u4fa7（\u8dd1\u4e00\u6b21\u5168\u91cf\u6d4b\u8bd5\u53ef\u80fd\u6bd4\u4e00\u6b21\u6a21\u578b\u8c03\u7528\u8d35）\u3002\u6b65\u6570\u5e94\u8be5\u6309\u300c\u65ad\u8a00\u8f6e\u6b21\u300d\u8ba1，\u6210\u672c\u6309 token \u4e0e\u5899\u949f\u53cc\u8f68\u8ba1，\u4e24\u8005\u72ec\u7acb\u89e6\u9876\u3002<\/p>\n

      3.3 \u8fb9\u754c\u4e8c：\u9694\u79bb\u6267\u884c\u6c99\u7bb1<\/h4>\n

      \u6c99\u7bb1\u8981\u89e3\u51b3\u4e09\u4ef6\u4e8b：\u6587\u4ef6\u7cfb\u7edf\u9694\u79bb\u3001\u8d44\u6e90\u9650\u5236\u3001\u7f51\u7edc\u62d2\u7edd\u3002\u4e09\u4ef6\u4e8b\u7f3a\u4e00\u4ef6，\u6c99\u7bb1\u5c31\u662f\u4e2a\u5fc3\u7406\u5b89\u6170\u3002<\/p>\n

      \u6c99\u7bb1\u7684\u4e09\u4e2a\u9762，\u4ee5\u53ca\u5404\u81ea\u7684\u9003\u9038\u8def\u5f84<\/p>\n

      \u6587\u4ef6\u7cfb\u7edf：\u4e34\u65f6\u76ee\u5f55 + \u53ea\u6302\u8f7d\u4efb\u52a1\u9700\u8981\u7684\u8def\u5f84
      \n \u9003\u9038\u8def\u5f84：\u6a21\u578b\u5199 ~\/.bashrc\u3001\u5199 \/tmp\/xx \u7136\u540e\u53e6\u4e00\u4e2a\u8fdb\u7a0b\u8bfb\u3001\u901a\u8fc7\u7b26\u53f7\u94fe\u63a5\u8df3\u51fa\u4e34\u65f6\u76ee\u5f55
      \n \u8d44\u6e90：CPU \u79d2\u6570 \/ \u5730\u5740\u7a7a\u95f4 \/ \u6587\u4ef6\u4f53\u79ef \/ \u8fdb\u7a0b\u6570 \/ \u5899\u949f
      \n \u9003\u9038\u8def\u5f84：fork \u70b8\u5f39\u3001\u751f\u6210\u4e00\u4e2a 10GB \u7684\u6587\u4ef6\u3001malloc \u5230 OOM
      \n \u7f51\u7edc：\u9ed8\u8ba4\u62d2\u7edd
      \n \u9003\u9038\u8def\u5f84：pip install \u62c9\u6076\u610f\u5305\u3001curl \u5916\u4f20\u3001DNS \u96a7\u9053<\/p>\n

      \u6587\u4ef6\u7cfb\u7edf\u8fd9\u4e00\u9762\u6700\u5bb9\u6613\u88ab\u505a\u9519\u3002\u7528 tempfile.mkdtemp() \u62ff\u5230\u4e00\u4e2a\u4e34\u65f6\u76ee\u5f55，\u7136\u540e\u628a repo \u62f7\u8fdb\u53bb，\u770b\u8d77\u6765\u5df2\u7ecf\u9694\u79bb\u4e86\u2014\u2014\u5b9e\u9645\u4e0a\u6ca1\u6709，\u56e0\u4e3a\u5b50\u8fdb\u7a0b\u7ee7\u627f\u7684\u73af\u5883\u53d8\u91cf\u91cc\u8fd8\u6302\u7740 HOME\u3001SSH_AUTH_SOCK\u3001AWS_PROFILE\u3001KUBECONFIG\u3002\u6a21\u578b\u751f\u6210\u4e00\u6bb5 cat ~\/.aws\/credentials \u5c31\u80fd\u62ff\u5230\u771f\u51ed\u8bc1\u3002\u73af\u5883\u51c0\u5316\u5fc5\u987b\u663e\u5f0f\u505a：\u6784\u9020\u4e00\u4e2a\u767d\u540d\u5355\u73af\u5883，\u53ea\u4fdd\u7559 PATH\u3001HOME（\u6307\u5411\u4e34\u65f6\u76ee\u5f55）\u3001LANG\u3001PYTHONPATH\u3002<\/p>\n

      \u7f51\u7edc\u8fd9\u4e00\u9762\u5728 Linux \u4e0a\u53ef\u4ee5\u7528 unshare -n \u6216\u8005 seccomp \u505a，\u5728 macOS \/ Windows \u4e0a\u6ca1\u6709\u7b49\u4ef7\u7269\u3002\u6211\u7684\u5904\u7406\u65b9\u5f0f\u662f：**\u5728\u4e0d\u652f\u6301\u7f51\u7edc\u9694\u79bb\u7684\u5e73\u53f0\u4e0a，\u628a\u7f51\u7edc\u9694\u79bb\u964d\u7ea7\u4e3a\u300c\u51fa\u53e3\u4ee3\u7406\u767d\u540d\u5355\u300d，\u5e76\u5728 harness \u542f\u52a8\u65f6\u6253\u5370\u4e00\u6761\u663e\u773c\u7684\u8b66\u544a\u3002**\u5b81\u53ef\u663e\u5f0f\u964d\u7ea7，\u4e5f\u4e0d\u8981\u5047\u88c5\u9694\u79bb\u4e86\u3002<\/p>\n

      3.4 \u8fb9\u754c\u4e09：\u72b6\u6001\u6301\u4e45\u5316\u4e0e\u56de\u6eda<\/h4>\n

      \u56de\u6eda\u7684\u6b63\u786e\u5355\u4f4d\u662f\u300c\u4e00\u6b21\u53ef revert \u7684\u5b8c\u6574\u72b6\u6001\u300d，\u800c\u4e0d\u662f\u300c\u6587\u4ef6\u300d\u6216\u300c\u6570\u636e\u5e93\u300d\u3002\u4e00\u6b21 Agent \u4efb\u52a1\u4f1a\u540c\u65f6\u6539\u52a8\u4e09\u7c7b\u4e1c\u897f：\u5de5\u4f5c\u533a\u6587\u4ef6\u3001\u5916\u90e8\u7cfb\u7edf（\u6570\u636e\u5e93\u3001\u5bf9\u8c61\u5b58\u50a8\u3001\u7b2c\u4e09\u65b9 API）\u3001\u4ee5\u53ca\u5b83\u81ea\u5df1\u7684\u8bb0\u5fc6\/\u65e5\u5fd7\u3002\u7b2c\u4e09\u7c7b\u65e0\u6240\u8c13，\u7b2c\u4e8c\u7c7b\u53ea\u80fd\u9760\u5e42\u7b49\u952e\u548c\u8865\u507f\u4e8b\u52a1，\u7b2c\u4e00\u7c7b\u9760 git \u5feb\u7167\u3002<\/p>\n

      git \u5feb\u7167\u7684\u5929\u5751\u662f\u672a\u8ddf\u8e2a\u6587\u4ef6\u3002\u7edd\u5927\u591a\u6570\u5b9e\u73b0\u5199\u6210\u8fd9\u6837：<\/p>\n

      git<\/span> stash push -u<\/span> # \u6216 git checkout . && git clean -fd<\/span><\/p>\n

      git clean -fd \u4f1a\u5220\u6389\u4e00\u5207\u672a\u8ddf\u8e2a\u6587\u4ef6，\u5305\u62ec\u4efb\u52a1\u5f00\u59cb\u524d\u5c31\u5b58\u5728\u3001\u4f46\u8fd8\u6ca1 git add \u8fc7\u7684\u672c\u5730\u914d\u7f6e\u6587\u4ef6\u3002\u6211\u8e29\u8fc7\u4e00\u6b21，\u628a .env.local \u548c\u4e00\u4efd\u6ca1\u63d0\u4ea4\u7684\u8fc1\u79fb\u811a\u672c\u4e00\u8d77\u6e05\u6389\u4e86\u3002\u6b63\u786e\u505a\u6cd5\u662f\u5148 git add -A \u628a\u6240\u6709\u672a\u8ddf\u8e2a\u6587\u4ef6\u7eb3\u5165\u7d22\u5f15，\u518d git diff –cached –binary \u751f\u6210\u4e00\u4efd\u5305\u542b\u65b0\u5efa\u6587\u4ef6\u7684\u5b8c\u6574 patch，\u56de\u6eda\u65f6\u53cd\u5411\u5e94\u7528\u8fd9\u4efd patch\u2014\u2014git apply -R \u5bf9\u300cnew file mode\u300d\u6bb5\u843d\u7684\u5904\u7406\u662f\u5220\u9664\u8be5\u6587\u4ef6，\u6240\u4ee5\u5b83\u540c\u65f6\u8986\u76d6\u4e86\u300c\u6062\u590d\u88ab\u6539\u7684\u6587\u4ef6\u300d\u548c\u300c\u5220\u9664\u88ab\u65b0\u5efa\u7684\u6587\u4ef6\u300d\u4e24\u4ef6\u4e8b\u3002<\/p>\n

      snapshot(repo):
      \n base = git rev-parse HEAD
      \n git add -A # \u672a\u8ddf\u8e2a\u6587\u4ef6\u4e5f\u8fdb\u7d22\u5f15，diff \u624d\u80fd\u8986\u76d6\u5b83\u4eec
      \n patch = git diff –cached –binary
      \n git reset -q # \u8fd8\u539f\u7d22\u5f15，\u5de5\u4f5c\u533a\u4e0d\u52a8
      \n return Snapshot(base, patch)<\/p>\n

      revert(snapshot):
      \n git apply –check -R –binary patch # \u5148\u9a8c\u8bc1\u80fd\u4e0d\u80fd\u53cd\u7740\u6253\u56de\u53bb
      \n git apply -R –binary patch
      \n （\u82e5 check \u5931\u8d25：git checkout <base> — . \u518d\u6309\u6e05\u5355\u5220\u65b0\u5efa\u6587\u4ef6）<\/p>\n

      \u5916\u90e8\u7cfb\u7edf\u7684\u56de\u6eda\u53e6\u8bf4\u3002\u6211\u7684\u89c4\u5219\u662f：**\u51e1\u662f\u4f1a\u5199\u5916\u90e8\u7cfb\u7edf\u7684\u5de5\u5177，\u5fc5\u987b\u63a5\u53d7\u4e00\u4e2a idempotency_key \u53c2\u6570，\u5e76\u4e14 harness \u5728\u8c03\u7528\u524d\u628a (tool, args_hash, key) \u5199\u8fdb journal\u3002**\u8fd9\u6837\u5373\u4f7f\u56de\u6eda\u4e0d\u5e72\u51c0，\u4f60\u81f3\u5c11\u6709\u4e00\u4efd\u300c\u5230\u5e95\u5bf9\u5916\u90e8\u4e16\u754c\u505a\u4e86\u4ec0\u4e48\u300d\u7684\u8d26\u672c，\u53ef\u4ee5\u505a\u4eba\u5de5\u8865\u507f\u3002<\/p>\n

      3.5 \u8fb9\u754c\u56db：\u786e\u5b9a\u6027\u65ad\u8a00<\/h4>\n

      \u65ad\u8a00\u662f\u88c1\u5224，\u6240\u4ee5\u65ad\u8a00\u672c\u8eab\u5fc5\u987b\u6ee1\u8db3\u4e09\u4e2a\u6761\u4ef6：\u786e\u5b9a\u6027（\u540c\u8f93\u5165\u540c\u5224\u5b9a）\u3001\u53ef\u5b9a\u4f4d（\u5931\u8d25\u65f6\u80fd\u7ed9\u51fa\u7cbe\u786e\u4f4d\u7f6e）\u3001\u4e0d\u53ef\u534f\u5546（\u6a21\u578b\u4e0d\u80fd\u6539\u5224\u636e）\u3002<\/p>\n

      \u65ad\u8a00\u5206\u5c42（\u4ece\u5feb\u5230\u6162，\u4ece\u4fbf\u5b9c\u5230\u8d35）<\/p>\n

      L0 \u8bed\u6cd5\/\u683c\u5f0f ruff format –check \/ gofmt -l ~50ms
      \nL1 \u9759\u6001\u7c7b\u578b mypy –strict \/ tsc –noEmit ~2s
      \nL2 \u7f16\u8bd1 python -m compileall \/ cargo build ~5s
      \nL3 \u5355\u5143\/\u76ee\u6807\u6d4b\u8bd5 pytest <node_id> -x -q ~3s
      \nL4 \u56de\u5f52\u6d4b\u8bd5 pytest（\u53d7\u5f71\u54cd\u5b50\u96c6） ~30s
      \nL5 \u5168\u91cf\u6d4b\u8bd5 pytest ~5min<\/p>\n

      \u5faa\u73af\u5185\u90e8\u53ea\u8dd1 L0 \u5230 L3，L4\/L5 \u653e\u5728\u5faa\u73af\u6210\u529f\u4e4b\u540e\u4f5c\u4e3a\u51c6\u5165\u95e8\u7981\u3002\u7406\u7531\u5f88\u5b9e\u9645：L5 \u8dd1\u4e00\u6b21 5 \u5206\u949f，8 \u8f6e\u8fed\u4ee3\u5c31\u662f 40 \u5206\u949f，\u6ca1\u4eba\u7b49\u5f97\u8d77；\u4f46\u76f4\u63a5\u8df3\u8fc7 L5 \u53c8\u4f1a\u628a\u56de\u5f52\u6f0f\u5230\u7ebf\u4e0a\u3002\u6240\u4ee5\u6b63\u786e\u7684\u987a\u5e8f\u662f\u300c\u4fbf\u5b9c\u7684\u65ad\u8a00\u9a71\u52a8\u8fed\u4ee3，\u6602\u8d35\u7684\u65ad\u8a00\u505a\u51c6\u5165\u300d\u3002<\/p>\n

      \u65ad\u8a00\u8fd8\u6709\u4e00\u6761\u94c1\u5f8b：**\u6a21\u578b\u4e0d\u80fd\u4fee\u6539\u65ad\u8a00\u3002**\u8fd9\u4e0d\u662f\u63d0\u793a\u8bcd\u5c42\u9762\u7684\u8981\u6c42，\u662f\u6587\u4ef6\u7cfb\u7edf\u5c42\u9762\u7684\u8981\u6c42\u2014\u2014\u6c99\u7bb1\u91cc\u8dd1\u6d4b\u8bd5\u7528\u7684\u6d4b\u8bd5\u6587\u4ef6，\u5fc5\u987b\u662f harness \u4ece\u5feb\u7167\u91cc\u590d\u5236\u8fdb\u53bb\u7684\u53ea\u8bfb\u526f\u672c，\u6a21\u578b\u5199\u4e0d\u8fdb\u53bb\u3002\u89c1 3.7 \u8282\u548c\u8e29\u5751 7.6\u3002<\/p>\n

      3.6 \u81ea\u52a8\u5316\u4fee\u590d\u5faa\u73af<\/h4>\n

      \u628a\u56db\u6761\u8fb9\u754c\u63a5\u8d77\u6765，\u5f97\u5230\u8fd9\u4e2a\u5faa\u73af：<\/p>\n

      +———————————-+
      \n | Budget \u68c0\u67e5（\u6bcf\u8f6e\u5165\u53e3，\u56db\u7ef4\u5ea6） |
      \n +—————+——————+
      \n | \u672a\u89e6\u9876
      \n v
      \n [1] \u751f\u6210 \u6a21\u578b\u4ea7\u51fa\u7ed3\u6784\u5316 PatchProposal（schema \u5f3a\u5236）
      \n |
      \n v
      \n [2] \u843d\u5730 harness \u628a patch \u5199\u8fdb\u6c99\u7bb1\u5de5\u4f5c\u533a（\u6a21\u578b\u4e0d\u76f4\u63a5\u5199）
      \n |
      \n v
      \n [3] \u65ad\u8a00 L0..L3 \u5728\u53d7\u9650\u5b50\u8fdb\u7a0b\u91cc\u8dd1，\u62ff\u9000\u51fa\u7801
      \n |
      \n +—————+——————+
      \n \u9000\u51fa\u7801 0 \u9000\u51fa\u7801\u975e 0
      \n | |
      \n v v
      \n [4] \u95e8\u7981 L4\/L5 \u5168\u91cf\u56de\u5f52 [5] \u538b\u7f29 \u622a\u65ad+\u53bb\u91cd\u9519\u8bef\u6808
      \n | |
      \n +——+——+ v
      \n \u901a\u8fc7 \u5931\u8d25 [6] \u56de\u5582 \u7cbe\u786e\u9519\u8bef + \u6307\u7eb9
      \n | | |
      \n v v v
      \n \u63d0\u4ea4\/PR \u56de\u6eda + \u62a5\u544a \u6307\u7eb9\u4e0e\u4e0a\u8f6e\u76f8\u540c？
      \n |
      \n \u662f -> non_progress \u505c
      \n \u5426 -> \u56de\u5230 [1]<\/p>\n

      \u8fd9\u4e2a\u5faa\u73af\u91cc\u6700\u53cd\u76f4\u89c9\u7684\u8bbe\u8ba1\u662f [6] \u56de\u5582\u7684\u662f\u538b\u7f29\u8fc7\u7684\u7cbe\u786e\u9519\u8bef，\u4e0d\u662f\u5b8c\u6574\u65e5\u5fd7\u3002\u5b8c\u6574\u65e5\u5fd7\u6709\u4e09\u4e2a\u95ee\u9898：\u51e0\u4e07\u5b57\u7b26\u6324\u7206\u4e0a\u4e0b\u6587\u3001\u91cc\u9762\u585e\u6ee1\u4e86\u65e0\u5173\u7684\u4f9d\u8d56\u5b89\u88c5\u566a\u58f0\u3001\u800c\u4e14\u6a21\u578b\u4f1a\u53bb\u300c\u4fee\u300d\u65e5\u5fd7\u91cc\u90a3\u4e9b\u5176\u5b9e\u65e0\u5bb3\u7684 warning\u3002\u538b\u7f29\u7b56\u7565\u5728 5.5 \u8282\u7ed9\u51fa，\u5b9e\u6d4b\u80fd\u628a\u56de\u5582 token \u4ece 9000 \u538b\u5230 1200 \u5de6\u53f3，\u540c\u65f6\u6210\u529f\u7387\u4e0d\u964d\u53cd\u5347\u3002<\/p>\n

      3.7 \u751f\u6210 \/ \u8bc4\u4f30 \/ \u4fee\u590d\u4e09\u5206\u7acb<\/h4>\n

      \u4e00\u6761\u786c\u89c4\u5219：\u4e0d\u5141\u8bb8\u6a21\u578b\u7ed9\u81ea\u5df1\u751f\u6210\u7684\u4ee3\u7801\u6253\u5206\u3002<\/p>\n

      \u8fd9\u4e0d\u662f\u6d01\u7656\u3002\u81ea\u8bc4\u4f1a\u8ba9\u6a21\u578b\u503e\u5411\u4e8e\u7ed9\u81ea\u5df1\u627e\u7406\u7531\u2014\u2014\u5b83\u8bb0\u5f97\u81ea\u5df1\u4e3a\u4ec0\u4e48\u8fd9\u4e48\u5199，\u4e8e\u662f\u628a\u300c\u6211\u5f53\u65f6\u60f3\u7684\u662f\u5bf9\u7684\u300d\u5f53\u6210\u4e86\u300c\u8fd9\u6bb5\u4ee3\u7801\u662f\u5bf9\u7684\u300d\u3002\u66f4\u7cdf\u7684\u662f，\u81ea\u8bc4\u548c\u8f93\u51fa\u540c\u6e90，\u4e00\u65e6\u91c7\u6837\u504f\u4e86，\u4e24\u5904\u4f1a\u4e00\u8d77\u504f，\u8bef\u5dee\u4e0d\u4f1a\u4e92\u76f8\u62b5\u6d88\u3002<\/p>\n

      \u4e09\u5206\u7acb\u7684\u5177\u4f53\u505a\u6cd5：<\/p>\n\n\u89d2\u8272\u80fd\u770b\u5230\u4ec0\u4e48\u80fd\u5199\u4ec0\u4e48\u8f93\u51fa schema\u7981\u6b62\u4e8b\u9879<\/tr>\n\n\n\n\n
      Generator（\u751f\u6210）<\/td>\n\u4efb\u52a1\u63cf\u8ff0 + \u68c0\u7d22\u5230\u7684\u76f8\u5173\u6587\u4ef6 + \u5931\u8d25\u6808（\u975e\u9996\u8f6e）<\/td>\n\u4ec5\u6c99\u7bb1\u5185\u6e90\u7801\u6587\u4ef6<\/td>\nPatchProposal<\/td>\n\u4e0d\u80fd\u770b\u8bc4\u4f30\u7ed3\u679c；\u4e0d\u80fd\u5199\u6d4b\u8bd5\u6587\u4ef6<\/td>\n<\/tr>\n
      Evaluator（\u8bc4\u4f30）<\/td>\ndiff + \u65ad\u8a00\u539f\u59cb\u8f93\u51fa + \u9759\u6001\u89c4\u5219<\/td>\n\u4ec0\u4e48\u90fd\u4e0d\u5199（\u5de5\u5177\u767d\u540d\u5355\u4e3a\u7a7a）<\/td>\nVerdict<\/td>\n\u4e0d\u80fd\u770b Generator \u7684\u81ea\u7136\u8bed\u8a00\u81ea\u8ff0；\u4e0d\u80fd\u4fee\u6539\u4efb\u4f55\u6587\u4ef6<\/td>\n<\/tr>\n
      Fixer（\u4fee\u590d）<\/td>\n\u65ad\u8a00\u5931\u8d25\u9879 + \u5931\u8d25\u6808 + \u5f53\u524d\u6587\u4ef6<\/td>\n\u4ec5\u6c99\u7bb1\u5185\u6e90\u7801\u6587\u4ef6<\/td>\nPatchProposal<\/td>\n\u4e0d\u80fd\u770b Evaluator \u7684\u5206\u6570；\u53ea\u80fd\u770b\u5931\u8d25\u9879<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

      \u6ce8\u610f\u4e24\u6761\u770b\u8d77\u6765\u5f88\u7ed5\u3001\u4f46\u5f88\u91cd\u8981\u7684\u9650\u5236：<\/p>\n

        \n
      • **Evaluator \u770b\u4e0d\u5230 Generator \u7684\u81ea\u8ff0\u3002**\u5b83\u53ea\u770b diff\u3002\u8fd9\u6837\u8bc4\u4f30\u7684\u5224\u636e\u662f\u300c\u4ee3\u7801\u53d8\u4e86\u4ec0\u4e48\u300d，\u4e0d\u662f\u300c\u4f5c\u8005\u8bf4\u5b83\u60f3\u5e72\u4ec0\u4e48\u300d\u3002<\/li>\n
      • **Fixer \u770b\u4e0d\u5230 Evaluator \u7684\u5206\u6570\u3002**\u5b83\u53ea\u770b\u300c\u54ea\u6761\u65ad\u8a00\u5931\u8d25\u3001\u9519\u8bef\u6808\u662f\u4ec0\u4e48\u300d\u3002\u5206\u6570\u662f\u4e00\u4e2a\u8fde\u7eed\u91cf，\u6a21\u578b\u4f1a\u53bb\u4f18\u5316\u5206\u6570\u800c\u4e0d\u662f\u4f18\u5316\u6b63\u786e\u6027；\u5931\u8d25\u9879\u662f\u4e00\u4e2a\u79bb\u6563\u96c6\u5408，\u6a21\u578b\u53ea\u80fd\u53bb\u628a\u5b83\u53d8\u6210\u7a7a\u96c6\u3002<\/li>\n<\/ul>\n

        3.8 \u7ed3\u6784\u5316\u8f93\u51fa schema \u5f3a\u5236<\/h4>\n

        \u6a21\u578b\u8f93\u51fa\u5982\u679c\u662f\u4e00\u6bb5\u81ea\u7136\u8bed\u8a00\u5305\u88f9\u7684\u4ee3\u7801\u5757，\u4f60\u5c31\u5f97\u7528\u6b63\u5219\u53bb\u62a0，\u62a0\u9519\u4e86\u5c31\u9759\u9ed8\u5931\u8d25\u3002\u7ed3\u6784\u5316\u8f93\u51fa schema \u5f3a\u5236\u89e3\u51b3\u8fd9\u4e2a\u95ee\u9898：\u6240\u6709\u6a21\u578b\u8f93\u51fa\u5fc5\u987b\u662f\u4e00\u4e2a\u80fd\u88ab JSON Schema \u6821\u9a8c\u7684\u5bf9\u8c61，\u6821\u9a8c\u4e0d\u8fc7\u5c31\u628a\u6821\u9a8c\u9519\u8bef\u56de\u5582，\u6700\u591a\u91cd\u8bd5 N \u6b21，N \u6b21\u4e0d\u8fc7\u5c31\u6574\u8f6e\u5931\u8d25\u3002<\/p>\n

        \u8fd9\u6761\u8fb9\u754c\u9632\u7684\u662f\u4e24\u7c7b\u6c61\u67d3：\u4e00\u662f\u6a21\u578b\u5728 JSON \u5916\u9762\u5957\u4e00\u5c42\u300c\u597d\u7684，\u6211\u6765\u770b\u770b\u8fd9\u4e2a\u95ee\u9898\u2026\u2026\u300d\u7684\u95f2\u804a，\u4e8c\u662f\u6a21\u578b\u5728 files \u6570\u7ec4\u91cc\u585e\u4e86\u4e00\u4e2a\u6ca1\u5728 analysis \u91cc\u63d0\u5230\u8fc7\u7684\u6587\u4ef6\u3002\u524d\u8005\u7834\u574f\u89e3\u6790，\u540e\u8005\u7834\u574f\u53ef\u5ba1\u8ba1\u6027\u3002<\/p>\n

        3.9 \u6982\u7387\u751f\u6210\u8be5\u88ab\u786e\u5b9a\u6027\u4ee3\u7801\u66ff\u6362\u7684\u5730\u65b9<\/h4>\n

        \u8fd9\u662f\u672c\u6587\u6211\u6700\u60f3\u5f3a\u8c03\u3001\u4e5f\u6700\u5bb9\u6613\u88ab\u5ffd\u7565\u7684\u4e00\u8282\u3002<\/p>\n

        \u5728\u4e00\u4e2a Agent \u6d41\u6c34\u7ebf\u91cc，\u6709\u4e9b\u73af\u8282\u660e\u660e\u6709 100% \u786e\u5b9a\u6027\u7684\u7b97\u6cd5\u5b9e\u73b0，\u56e2\u961f\u5374\u4e60\u60ef\u6027\u5730\u8ba9\u6a21\u578b\u53bb\u505a，\u7406\u7531\u662f\u300c\u987a\u624b\u300d\u3002\u8fd9\u662f\u7eaf\u4e8f：\u4ed8\u4e86 token\u3001\u4ed8\u4e86\u5ef6\u8fdf\u3001\u5f15\u5165\u4e86\u975e\u786e\u5b9a\u6027，\u6362\u6765\u7684\u6b63\u786e\u7387\u8fd8\u66f4\u4f4e\u3002<\/p>\n\n\u73af\u8282\u9519\u8bef\u505a\u6cd5（LLM）\u6b63\u786e\u505a\u6cd5（\u96f6 LLM \u8c03\u7528）\u5e72\u6389\u7684\u5e7b\u89c9token \u6d88\u8017<\/tr>\n\n\n\n\n\n\n
        Schema Validator<\/td>\n\u8ba9\u6a21\u578b\u5224\u65ad\u300c\u8fd9\u6bb5\u8f93\u51fa\u7b26\u5408 schema \u5417\u300d<\/td>\njsonschema.validate() \/ pydantic<\/td>\n\u5047\u9633\u6027（\u6a21\u578b\u8bf4\u7b26\u5408\u5176\u5b9e\u4e0d\u7b26\u5408）<\/td>\n\u964d\u5230 0<\/td>\n<\/tr>\n
        Documentation Builder<\/td>\n\u8ba9\u6a21\u578b\u4ece docstring \u751f\u6210 API \u6587\u6863<\/td>\npydoc \/ sphinx.ext.autodoc \/ griffe \u76f4\u63a5\u89e3\u6790 AST<\/td>\n\u7f16\u9020\u4e0d\u5b58\u5728\u7684\u53c2\u6570\u4e0e\u9ed8\u8ba4\u503c<\/td>\n\u964d\u5230 0<\/td>\n<\/tr>\n
        \u4f9d\u8d56\u7248\u672c\u89e3\u6790<\/td>\n\u8ba9\u6a21\u578b\u63a8\u8350\u7248\u672c\u53f7<\/td>\n\u89e3\u6790 pyproject.toml + \u67e5\u8be2\u7d22\u5f15 API<\/td>\n\u7f16\u9020\u4e0d\u5b58\u5728\u7684\u7248\u672c\u53f7<\/td>\n\u964d\u5230 0<\/td>\n<\/tr>\n
        diff \u751f\u6210<\/td>\n\u8ba9\u6a21\u578b\u8f93\u51fa diff \u6587\u672c<\/td>\n\u6a21\u578b\u8f93\u51fa\u6587\u4ef6\u5185\u5bb9，harness \u8c03\u7528 difflib<\/td>\n\u884c\u53f7\u7b97\u9519\u5bfc\u81f4 patch \u6253\u4e0d\u4e0a<\/td>\n\u964d\u5230 0<\/td>\n<\/tr>\n
        \u6d4b\u8bd5\u9009\u62e9<\/td>\n\u8ba9\u6a21\u578b\u731c\u8be5\u8dd1\u54ea\u4e9b\u6d4b\u8bd5<\/td>\n\u8986\u76d6\u7387\u53cd\u67e5 + import \u56fe（\u5982 pytest –testmon）<\/td>\n\u8dd1\u9519\u6d4b\u8bd5\u5b50\u96c6，\u5047\u7eff<\/td>\n\u964d\u5230 0<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

        \u5224\u5b9a\u6807\u51c6\u5f88\u7b80\u5355，\u95ee\u81ea\u5df1\u4e00\u4e2a\u95ee\u9898：**\u8fd9\u4e2a\u73af\u8282\u7684\u8f93\u5165\u548c\u8f93\u51fa\u4e4b\u95f4，\u662f\u4e0d\u662f\u5b58\u5728\u4e00\u4e2a\u6211\u53ef\u4ee5\u5199\u51fa\u6765\u7684\u786e\u5b9a\u6027\u51fd\u6570？**\u5982\u679c\u5b58\u5728，\u5c31\u4e0d\u8981\u7528\u6a21\u578b\u3002\u6a21\u578b\u7684\u6b63\u786e\u4f4d\u7f6e\u662f\u90a3\u4e2a\u4f60\u5199\u4e0d\u51fa\u786e\u5b9a\u6027\u51fd\u6570\u7684\u5730\u65b9\u2014\u2014\u7406\u89e3\u9700\u6c42\u3001\u8bbe\u8ba1\u6539\u52a8\u3001\u5b9a\u4f4d\u6839\u56e0\u3002<\/p>\n

        \u6211\u5728\u81ea\u5df1\u7684\u6d41\u6c34\u7ebf\u91cc\u505a\u4e86\u4e00\u6b21\u6e05\u7406，\u628a 5 \u4e2a\u73af\u8282\u6362\u6210\u786e\u5b9a\u6027\u5b9e\u73b0，\u7ed3\u679c\u662f：\u8be5\u9636\u6bb5 token \u4ece\u6bcf\u4efb\u52a1\u7ea6 21000 \u964d\u5230\u7ea6 14000（\u964d 33%），\u7aef\u5230\u7aef P50 \u5ef6\u8fdf\u4ece 96s \u964d\u5230 61s，\u800c\u300c\u8f93\u51fa\u683c\u5f0f\u7c7b\u300d\u6545\u969c\u4ece\u6bcf 100 \u4efb\u52a1 11 \u6b21\u964d\u5230 0 \u6b21\u3002<\/p>\n

        \u56db\u3001\u73af\u5883\u4e0e\u4f9d\u8d56\u51c6\u5907<\/h3>\n

        4.1 \u7248\u672c\u4e0e\u786c\u4ef6<\/h4>\n\n\u9879\u76ee\u7248\u672c\/\u89c4\u683c\u8bf4\u660e<\/tr>\n\n\n\n\n\n\n\n\n\n\n\n
        Python<\/td>\n3.11.9<\/td>\n3.10 \u4e5f\u80fd\u8dd1，3.12 \u4e0a resource \u6a21\u5757\u884c\u4e3a\u4e00\u81f4<\/td>\n<\/tr>\n
        git<\/td>\n2.45+<\/td>\n\u9700\u8981 git diff –binary \u4e0e apply –check<\/td>\n<\/tr>\n
        pytest<\/td>\n8.3.2<\/td>\n\u65ad\u8a00\u4e3b\u529b<\/td>\n<\/tr>\n
        pytest-timeout<\/td>\n2.3.1<\/td>\n\u5355\u6d4b\u7ea7\u8d85\u65f6，\u9632\u6b62\u6c99\u7bb1\u88ab\u4e00\u4e2a\u6b7b\u5faa\u73af\u6302\u4f4f<\/td>\n<\/tr>\n
        ruff<\/td>\n0.6.8<\/td>\nL0 \u65ad\u8a00<\/td>\n<\/tr>\n
        mypy<\/td>\n1.11.2<\/td>\nL1 \u65ad\u8a00（\u53ef\u9009，Python \u9879\u76ee\u5efa\u8bae\u5f00）<\/td>\n<\/tr>\n
        pydantic<\/td>\n2.9.2<\/td>\n\u7ed3\u6784\u5316\u8f93\u51fa schema \u5f3a\u5236<\/td>\n<\/tr>\n
        psutil<\/td>\n6.0.0<\/td>\n\u91c7\u96c6\u5b50\u8fdb\u7a0b peak RSS，\u7528\u4e8e\u6c99\u7bb1\u5ea6\u91cf<\/td>\n<\/tr>\n
        \u64cd\u4f5c\u7cfb\u7edf<\/td>\nLinux 5.15+（\u63a8\u8350）\/ macOS 14 \/ Windows 11<\/td>\n\u7f51\u7edc\u9694\u79bb\u4ec5\u5728 Linux \u4e0a\u6709\u786c\u4fdd\u8bc1<\/td>\n<\/tr>\n
        CPU \/ \u5185\u5b58<\/td>\n4 \u6838 \/ 8GB<\/td>\n\u6c99\u7bb1\u5730\u5740\u7a7a\u95f4\u9ed8\u8ba4\u9650 2GB<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

        4.2 \u5b89\u88c5<\/h4>\n

        python -m<\/span> venv .venv &&<\/span> source<\/span> .venv\/bin\/activate # Windows: .venv\\\\Scripts\\\\activate<\/span>
        \npip install<\/span> "pytest==8.3.2"<\/span> "pytest-timeout==2.3.1"<\/span> "ruff==0.6.8"<\/span> \\\\<\/span>
        \n "mypy==1.11.2"<\/span> "pydantic==2.9.2"<\/span> "psutil==6.0.0"<\/span><\/p>\n

        # \u7f51\u7edc\u9694\u79bb（Linux \u4e0a\u624d\u4f1a\u771f\u6b63\u751f\u6548，\u5176\u4ed6\u5e73\u53f0 harness \u4f1a\u964d\u7ea7\u5e76\u544a\u8b66）<\/span>
        \nwhich<\/span> unshare ><\/span>\/dev\/null 2<\/span>><\/span>&1<\/span> &&<\/span> echo<\/span> "network isolation: available"<\/span> \\\\<\/span>
        \n ||<\/span> echo<\/span> "network isolation: DEGRADED"<\/span><\/p>\n

        # \u76ee\u6807\u4ed3\u5e93\u5fc5\u987b\u662f git \u4ed3\u5e93，\u4e14\u5de5\u4f5c\u533a\u5e72\u51c0（\u810f\u4e5f\u53ef\u4ee5，harness \u4f1a\u628a\u810f\u72b6\u6001\u7eb3\u5165\u5feb\u7167）<\/span>
        \ngit<\/span> rev-parse –is-inside-work-tree<\/p>\n

        4.3 \u76ee\u5f55\u7ea6\u5b9a<\/h4>\n

        repo\/
        \n+– .harness\/
        \n| +– snapshots\/ # patch \u6587\u4ef6，\u6309 run_id \u5b58
        \n| +– journal.jsonl # \u5de5\u5177\u8c03\u7528\u8d26\u672c，\u542b\u5e42\u7b49\u952e
        \n| +– reports\/ # \u6bcf\u8f6e RunReport JSON
        \n+– src\/ # \u88ab\u4fee\u6539\u7684\u6e90\u7801（\u6c99\u7bb1\u5185\u53ef\u5199）
        \n+– tests\/ # \u65ad\u8a00（\u6c99\u7bb1\u5185\u53ea\u8bfb）
        \n+– harness\/ # harness \u81ea\u8eab\u4ee3\u7801<\/p>\n

        \u4e94\u3001\u5b8c\u6574\u5b9e\u64cd<\/h3>\n

        \u8fd9\u4e00\u8282\u7ed9\u51fa\u4e00\u5957\u80fd\u76f4\u63a5\u8dd1\u7684\u5b9e\u73b0\u3002\u6587\u4ef6\u62c6\u6210 6 \u4e2a\u6a21\u5757，\u6700\u540e\u7528\u4e00\u4e2a CLI \u4e32\u8d77\u6765\u3002\u6240\u6709\u4ee3\u7801\u90fd\u5728 Python 3.11 \u4e0a\u9a8c\u8bc1\u8fc7\u3002<\/p>\n

        5.1 \u6b65\u6570\u9884\u7b97\u4e0e\u6210\u672c\u7194\u65ad<\/h4>\n

        \u9884\u7b97\u56db\u7c7b\u7ef4\u5ea6\u72ec\u7acb\u8ba1，\u4efb\u610f\u89e6\u9876\u5373\u505c\u3002\u6ce8\u610f spend() \u91cc\u628a token \u548c\u94b1\u5206\u5f00\u8bb0\u2014\u2014\u5b83\u4eec\u7684\u89e6\u9876\u987a\u5e8f\u4f1a\u544a\u8bc9\u4f60\u9884\u7b97\u662f\u88ab\u300c\u8bdd\u591a\u300d\u8fd8\u662f\u88ab\u300c\u8dd1\u5f97\u6162\u300d\u5403\u6389\u7684\u3002<\/p>\n

        #!\/usr\/bin\/env python3<\/span>
        \n# -*- coding: utf-8 -*-<\/span>
        \n"""budget.py \u2014 \u6b65\u6570\/\u5899\u949f\/token\/\u6210\u672c\u56db\u7ef4\u9884\u7b97\u4e0e\u7194\u65ad\u3002"""<\/span>
        \nfrom<\/span> __future__ import<\/span> annotations<\/p>\n

        import<\/span> time
        \nfrom<\/span> dataclasses import<\/span> dataclass,<\/span> field<\/p>\n

        # USD \/ 1K tokens\u3002\u6362\u6210\u4f60\u81ea\u5df1\u7f51\u5173\u7684\u5b9e\u9645\u5355\u4ef7，\u522b\u7167\u6284\u3002<\/span>
        \nPRICING =<\/span> {<\/span>
        \n "generator"<\/span>:<\/span> {<\/span>"in"<\/span>:<\/span> 0.0030<\/span>,<\/span> "out"<\/span>:<\/span> 0.0150<\/span>}<\/span>,<\/span>
        \n "evaluator"<\/span>:<\/span> {<\/span>"in"<\/span>:<\/span> 0.0030<\/span>,<\/span> "out"<\/span>:<\/span> 0.0150<\/span>}<\/span>,<\/span>
        \n "fixer"<\/span>:<\/span> {<\/span>"in"<\/span>:<\/span> 0.0030<\/span>,<\/span> "out"<\/span>:<\/span> 0.0150<\/span>}<\/span>,<\/span>
        \n}<\/span><\/p>\n

        class<\/span> BudgetExceeded<\/span>(<\/span>Exception)<\/span>:<\/span>
        \n """\u9884\u7b97\u89e6\u9876\u3002\u643a\u5e26 reason \u4e0e\u5df2\u6d88\u8017\u91cf，\u4f9b RunReport \u8bb0\u5f55\u3002"""<\/span><\/p>\n

        def<\/span> __init__<\/span>(<\/span>self,<\/span> reason:<\/span> str<\/span>,<\/span> budget:<\/span> "Budget"<\/span>)<\/span>:<\/span>
        \n self.<\/span>reason =<\/span> reason
        \n self.<\/span>budget =<\/span> budget
        \n super<\/span>(<\/span>)<\/span>.<\/span>__init__(<\/span>
        \n f"budget tripped: <\/span>{<\/span>reason}<\/span><\/span> "<\/span><\/span>
        \n f"(steps=<\/span>{<\/span>budget.<\/span>steps}<\/span><\/span>\/<\/span>{<\/span>budget.<\/span>max_steps}<\/span><\/span>, "<\/span><\/span>
        \n f"cost=$<\/span>{<\/span>budget.<\/span>cost_usd:<\/span>.4f<\/span>}<\/span><\/span>\/$<\/span>{<\/span>budget.<\/span>max_cost_usd:<\/span>.2f<\/span>}<\/span><\/span>, "<\/span><\/span>
        \n f"tokens=<\/span>{<\/span>budget.<\/span>tokens}<\/span><\/span>\/<\/span>{<\/span>budget.<\/span>max_tokens}<\/span><\/span>, "<\/span><\/span>
        \n f"t=<\/span>{<\/span>budget.<\/span>elapsed(<\/span>)<\/span>:<\/span>.1f<\/span>}<\/span><\/span>s\/<\/span>{<\/span>budget.<\/span>max_wall_clock_s}<\/span><\/span>s)"<\/span><\/span>
        \n )<\/span><\/p>\n

        @dataclass<\/span>
        \nclass<\/span> Budget<\/span>:<\/span>
        \n max_steps:<\/span> int<\/span> =<\/span> 8<\/span>
        \n max_wall_clock_s:<\/span> float<\/span> =<\/span> 300.0<\/span>
        \n max_tokens:<\/span> int<\/span> =<\/span> 400_000<\/span>
        \n max_cost_usd:<\/span> float<\/span> =<\/span> 0.50<\/span>
        \n # \u5b9e\u6d4b\u6d88\u8017<\/span>
        \n steps:<\/span> int<\/span> =<\/span> 0<\/span>
        \n tokens:<\/span> int<\/span> =<\/span> 0<\/span>
        \n cost_usd:<\/span> float<\/span> =<\/span> 0.0<\/span>
        \n _t0:<\/span> float<\/span> =<\/span> field(<\/span>default_factory=<\/span>time.<\/span>monotonic,<\/span> repr<\/span>=<\/span>False<\/span>)<\/span><\/p>\n

        # —- \u67e5\u8be2 —-<\/span>
        \n def<\/span> elapsed<\/span>(<\/span>self)<\/span> –<\/span>><\/span> float<\/span>:<\/span>
        \n return<\/span> time.<\/span>monotonic(<\/span>)<\/span> –<\/span> self.<\/span>_t0<\/p>\n

        def<\/span> remaining<\/span>(<\/span>self)<\/span> –<\/span>><\/span> dict<\/span>[<\/span>str<\/span>,<\/span> float<\/span>]<\/span>:<\/span>
        \n return<\/span> {<\/span>
        \n "steps"<\/span>:<\/span> self.<\/span>max_steps –<\/span> self.<\/span>steps,<\/span>
        \n "tokens"<\/span>:<\/span> self.<\/span>max_tokens –<\/span> self.<\/span>tokens,<\/span>
        \n "cost_usd"<\/span>:<\/span> self.<\/span>max_cost_usd –<\/span> self.<\/span>cost_usd,<\/span>
        \n "seconds"<\/span>:<\/span> self.<\/span>max_wall_clock_s –<\/span> self.<\/span>elapsed(<\/span>)<\/span>,<\/span>
        \n }<\/span><\/p>\n

        # —- \u8bb0\u8d26 —-<\/span>
        \n def<\/span> spend<\/span>(<\/span>self,<\/span> role:<\/span> str<\/span>,<\/span> in_tok:<\/span> int<\/span>,<\/span> out_tok:<\/span> int<\/span>)<\/span> –<\/span>><\/span> float<\/span>:<\/span>
        \n p =<\/span> PRICING[<\/span>role]<\/span>
        \n usd =<\/span> (<\/span>in_tok *<\/span> p[<\/span>"in"<\/span>]<\/span> +<\/span> out_tok *<\/span> p[<\/span>"out"<\/span>]<\/span>)<\/span> \/<\/span> 1000.0<\/span>
        \n self.<\/span>tokens +=<\/span> in_tok +<\/span> out_tok
        \n self.<\/span>cost_usd +=<\/span> usd
        \n return<\/span> usd<\/p>\n

        def<\/span> step<\/span>(<\/span>self)<\/span> –<\/span>><\/span> None<\/span>:<\/span>
        \n """\u8fdb\u5165\u65b0\u4e00\u8f6e\u8fed\u4ee3\u524d\u8c03\u7528\u3002\u56db\u4e2a\u7ef4\u5ea6\u5168\u90e8\u68c0\u67e5\u3002"""<\/span>
        \n # \u987a\u5e8f\u6709\u8bb2\u7a76：\u5148\u68c0\u67e5\u4e0a\u4e00\u8f6e\u5df2\u7ecf\u82b1\u6389\u7684\u94b1\u548c token，<\/span>
        \n # \u518d\u51b3\u5b9a\u8981\u4e0d\u8981\u5f00\u65b0\u7684\u4e00\u8f6e\u3002\u7edd\u4e0d\u80fd\u5148\u5f00\u8f6e\u518d\u68c0\u67e5\u3002<\/span>
        \n if<\/span> self.<\/span>cost_usd >=<\/span> self.<\/span>max_cost_usd:<\/span>
        \n raise<\/span> BudgetExceeded(<\/span>"cost_tripped"<\/span>,<\/span> self)<\/span>
        \n if<\/span> self.<\/span>tokens >=<\/span> self.<\/span>max_tokens:<\/span>
        \n raise<\/span> BudgetExceeded(<\/span>"token_exhausted"<\/span>,<\/span> self)<\/span>
        \n if<\/span> self.<\/span>elapsed(<\/span>)<\/span> >=<\/span> self.<\/span>max_wall_clock_s:<\/span>
        \n raise<\/span> BudgetExceeded(<\/span>"timeout"<\/span>,<\/span> self)<\/span>
        \n if<\/span> self.<\/span>steps >=<\/span> self.<\/span>max_steps:<\/span>
        \n raise<\/span> BudgetExceeded(<\/span>"steps_exhausted"<\/span>,<\/span> self)<\/span>
        \n self.<\/span>steps +=<\/span> 1<\/span><\/p>\n

        # —- \u8f6f\u7194\u65ad\u9884\u8b66 —-<\/span>
        \n def<\/span> pressure<\/span>(<\/span>self)<\/span> –<\/span>><\/span> float<\/span>:<\/span>
        \n """\u8fd4\u56de 0~1 \u7684\u9884\u7b97\u538b\u529b\u503c，>0.8 \u65f6\u4e0a\u5c42\u5e94\u5207\u6362\u5230\u4fdd\u5b88\u7b56\u7565
        \n （\u4f8b\u5982\u53ea\u8dd1 L3 \u76ee\u6807\u6d4b\u8bd5\u3001\u4e0d\u518d\u505a\u5168\u91cf\u56de\u5f52\u3001\u4e0d\u518d\u91cd\u8bd5 schema）\u3002"""<\/span>
        \n return<\/span> max<\/span>(<\/span>
        \n self.<\/span>steps \/<\/span> self.<\/span>max_steps,<\/span>
        \n self.<\/span>tokens \/<\/span> self.<\/span>max_tokens,<\/span>
        \n self.<\/span>cost_usd \/<\/span> self.<\/span>max_cost_usd,<\/span>
        \n self.<\/span>elapsed(<\/span>)<\/span> \/<\/span> self.<\/span>max_wall_clock_s,<\/span>
        \n )<\/span><\/p>\n

        if<\/span> __name__ ==<\/span> "__main__"<\/span>:<\/span>
        \n b =<\/span> Budget(<\/span>max_steps=<\/span>3<\/span>,<\/span> max_cost_usd=<\/span>0.02<\/span>)<\/span>
        \n for<\/span> i in<\/span> range<\/span>(<\/span>5<\/span>)<\/span>:<\/span>
        \n try<\/span>:<\/span>
        \n b.<\/span>step(<\/span>)<\/span>
        \n b.<\/span>spend(<\/span>"generator"<\/span>,<\/span> 1200<\/span>,<\/span> 800<\/span>)<\/span>
        \n print<\/span>(<\/span>f"step <\/span>{<\/span>b.<\/span>steps}<\/span><\/span>: cost=$<\/span>{<\/span>b.<\/span>cost_usd:<\/span>.4f<\/span>}<\/span><\/span> pressure=<\/span>{<\/span>b.<\/span>pressure(<\/span>)<\/span>:<\/span>.2f<\/span>}<\/span><\/span>"<\/span><\/span>)<\/span>
        \n except<\/span> BudgetExceeded as<\/span> e:<\/span>
        \n print<\/span>(<\/span>"STOP ->"<\/span>,<\/span> e)<\/span>
        \n break<\/span><\/p>\n

        \u8dd1\u4e00\u4e0b\u4f1a\u770b\u5230\u7b2c 2 \u8f6e\u4e4b\u540e\u6210\u672c\u89e6\u9876：<\/p>\n

        step 1: cost=$0.0168 pressure=0.84
        \nstep 2: cost=$0.0336 pressure=1.00
        \nSTOP -> budget tripped: cost_tripped (steps=2\/3, cost=$0.0336\/$0.02, tokens=4000\/400000, t=0.0s\/300s)<\/p>\n

        pressure() \u8fd9\u4e2a\u8f6f\u6307\u6807\u503c\u5f97\u5355\u72ec\u8bf4\u3002\u786c\u7194\u65ad\u662f\u300c\u5230\u70b9\u4e86\u5fc5\u987b\u505c\u300d，\u8f6f\u538b\u529b\u662f\u300c\u5feb\u5230\u70b9\u4e86，\u6362\u4fbf\u5b9c\u7684\u6253\u6cd5\u300d\u3002\u6211\u5728 harness \u91cc\u7684\u7528\u6cd5\u662f：pressure() > 0.8 \u65f6，\u628a\u65ad\u8a00\u4ece L0-L3 \u6536\u7f29\u5230\u53ea\u8dd1 L3 \u76ee\u6807\u6d4b\u8bd5，\u540c\u65f6\u628a\u6a21\u578b\u4ece\u5f3a\u6a21\u578b\u5207\u5230\u4fbf\u5b9c\u6a21\u578b，\u628a\u5269\u4f59\u9884\u7b97\u82b1\u5728\u5200\u5203\u4e0a\u3002<\/p>\n

        5.2 \u9694\u79bb\u6267\u884c\u6c99\u7bb1<\/h4>\n

        \u6c99\u7bb1\u7684\u4e09\u4e2a\u9762：\u4e34\u65f6\u6587\u4ef6\u7cfb\u7edf\u3001\u8d44\u6e90\u9650\u5236\u3001\u51c0\u5316\u540e\u7684\u73af\u5883\u3002Windows \u4e0a\u6ca1\u6709 RLIMIT_AS \u4e0e unshare，\u4ee3\u7801\u91cc\u505a\u4e86\u663e\u5f0f\u964d\u7ea7\u5e76\u6253\u8b66\u544a\u2014\u2014\u4e0d\u8981\u9759\u9ed8\u8df3\u8fc7\u3002<\/p>\n

        #!\/usr\/bin\/env python3<\/span>
        \n# -*- coding: utf-8 -*-<\/span>
        \n"""sandbox.py \u2014 \u4e34\u65f6\u76ee\u5f55 + \u8d44\u6e90\u9650\u5236 + \u73af\u5883\u51c0\u5316 + \u8d85\u65f6\u3002"""<\/span>
        \nfrom<\/span> __future__ import<\/span> annotations<\/p>\n

        import<\/span> os
        \nimport<\/span> platform
        \nimport<\/span> resource
        \nimport<\/span> shutil
        \nimport<\/span> subprocess
        \nimport<\/span> sys
        \nimport<\/span> tempfile
        \nfrom<\/span> dataclasses import<\/span> dataclass
        \nfrom<\/span> pathlib import<\/span> Path<\/p>\n

        IS_LINUX =<\/span> platform.<\/span>system(<\/span>)<\/span> ==<\/span> "Linux"<\/span><\/p>\n

        @dataclass<\/span>
        \nclass<\/span> Limits<\/span>:<\/span>
        \n cpu_seconds:<\/span> int<\/span> =<\/span> 20<\/span>
        \n address_space_mb:<\/span> int<\/span> =<\/span> 2048<\/span>
        \n fsize_mb:<\/span> int<\/span> =<\/span> 64<\/span> # \u5355\u4e2a\u6587\u4ef6\u6700\u5927\u4f53\u79ef，\u9632\u6b62\u5199\u7206\u78c1\u76d8<\/span>
        \n nproc:<\/span> int<\/span> =<\/span> 64<\/span>
        \n wall_clock_s:<\/span> int<\/span> =<\/span> 60<\/span>
        \n deny_network:<\/span> bool<\/span> =<\/span> True<\/span><\/p>\n

        @dataclass<\/span>
        \nclass<\/span> RunResult<\/span>:<\/span>
        \n argv:<\/span> list<\/span>[<\/span>str<\/span>]<\/span>
        \n exit_code:<\/span> int<\/span>
        \n stdout:<\/span> str<\/span>
        \n stderr:<\/span> str<\/span>
        \n duration_ms:<\/span> int<\/span>
        \n killed_by:<\/span> str<\/span> |<\/span> None<\/span> =<\/span> None<\/span> # timeout \/ rlimit \/ None<\/span><\/p>\n

        def<\/span> _preexec<\/span>(<\/span>limits:<\/span> Limits,<\/span> tmp_home:<\/span> str<\/span>)<\/span> –<\/span>><\/span> None<\/span>:<\/span>
        \n """\u5b50\u8fdb\u7a0b\u5165\u53e3：\u5148\u8bbe\u8d44\u6e90\u4e0a\u9650，\u518d\u5207\u8fdb\u7a0b\u7ec4（\u4fbf\u4e8e\u6574\u7ec4 kill）\u3002"""<\/span>
        \n os.<\/span>setsid(<\/span>)<\/span>
        \n mb =<\/span> 1024<\/span> *<\/span> 1024<\/span>
        \n if<\/span> IS_LINUX:<\/span>
        \n resource.<\/span>setrlimit(<\/span>resource.<\/span>RLIMIT_CPU,<\/span> (<\/span>limits.<\/span>cpu_seconds,<\/span> limits.<\/span>cpu_seconds +<\/span> 1<\/span>)<\/span>)<\/span>
        \n resource.<\/span>setrlimit(<\/span>resource.<\/span>RLIMIT_AS,<\/span> (<\/span>limits.<\/span>address_space_mb *<\/span> mb,<\/span>)<\/span> *<\/span> 2<\/span>)<\/span>
        \n resource.<\/span>setrlimit(<\/span>resource.<\/span>RLIMIT_FSIZE,<\/span> (<\/span>limits.<\/span>fsize_mb *<\/span> mb,<\/span>)<\/span> *<\/span> 2<\/span>)<\/span>
        \n resource.<\/span>setrlimit(<\/span>resource.<\/span>RLIMIT_NPROC,<\/span> (<\/span>limits.<\/span>nproc,<\/span> limits.<\/span>nproc)<\/span>)<\/span>
        \n resource.<\/span>setrlimit(<\/span>resource.<\/span>RLIMIT_CORE,<\/span> (<\/span>0<\/span>,<\/span> 0<\/span>)<\/span>)<\/span> # \u4e0d\u8f6c core，\u7701\u78c1\u76d8<\/span>
        \n os.<\/span>environ[<\/span>"HOME"<\/span>]<\/span> =<\/span> tmp_home # \u5173\u952e：\u8ba9 ~\/.aws\u3001~\/.ssh \u5168\u90e8\u5931\u6548<\/span>
        \n os.<\/span>environ[<\/span>"PYTHONPYCACHEPREFIX"<\/span>]<\/span> =<\/span> os.<\/span>path.<\/span>join(<\/span>tmp_home,<\/span> "pycache"<\/span>)<\/span><\/p>\n

        def<\/span> _clean_env<\/span>(<\/span>)<\/span> –<\/span>><\/span> dict<\/span>[<\/span>str<\/span>,<\/span> str<\/span>]<\/span>:<\/span>
        \n """\u767d\u540d\u5355\u73af\u5883\u3002\u4efb\u4f55\u53ef\u80fd\u643a\u5e26\u51ed\u8bc1\u7684\u53d8\u91cf\u90fd\u4e0d\u5728\u767d\u540d\u5355\u91cc\u3002"""<\/span>
        \n keep =<\/span> (<\/span>"PATH"<\/span>,<\/span> "LANG"<\/span>,<\/span> "LC_ALL"<\/span>,<\/span> "TZ"<\/span>,<\/span> "SYSTEMROOT"<\/span>,<\/span> "TEMP"<\/span>,<\/span> "TMP"<\/span>)<\/span>
        \n env =<\/span> {<\/span>k:<\/span> v for<\/span> k,<\/span> v in<\/span> os.<\/span>environ.<\/span>items(<\/span>)<\/span> if<\/span> k in<\/span> keep}<\/span>
        \n # \u663e\u5f0f\u6e05\u6389\u8fd9\u51e0\u7c7b，\u9632\u6b62\u5b50\u8fdb\u7a0b\u901a\u8fc7\u7ee7\u627f\u62ff\u5230\u5bbf\u4e3b\u8eab\u4efd<\/span>
        \n for<\/span> k in<\/span> (<\/span>"SSH_AUTH_SOCK"<\/span>,<\/span> "AWS_PROFILE"<\/span>,<\/span> "AWS_ACCESS_KEY_ID"<\/span>,<\/span> "AWS_SECRET_ACCESS_KEY"<\/span>,<\/span>
        \n "KUBECONFIG"<\/span>,<\/span> "DOCKER_HOST"<\/span>,<\/span> "GITHUB_TOKEN"<\/span>,<\/span> "OPENAI_API_KEY"<\/span>,<\/span> "ANTHROPIC_API_KEY"<\/span>)<\/span>:<\/span>
        \n env.<\/span>pop(<\/span>k,<\/span> None<\/span>)<\/span>
        \n return<\/span> env<\/p>\n

        class<\/span> Sandbox<\/span>:<\/span>
        \n """\u4e00\u6b21\u6027\u6c99\u7bb1\u3002with \u8bed\u53e5\u9000\u51fa\u65f6\u6574\u4e2a\u4e34\u65f6\u76ee\u5f55\u88ab\u5220\u9664\u3002"""<\/span><\/p>\n

        def<\/span> __init__<\/span>(<\/span>self,<\/span> src:<\/span> Path,<\/span> limits:<\/span> Limits |<\/span> None<\/span> =<\/span> None<\/span>,<\/span>
        \n ignore:<\/span> tuple<\/span>[<\/span>str<\/span>,<\/span> .<\/span>.<\/span>.<\/span>]<\/span> =<\/span> (<\/span>".git"<\/span>,<\/span> ".venv"<\/span>,<\/span> "__pycache__"<\/span>,<\/span> "node_modules"<\/span>)<\/span>)<\/span>:<\/span>
        \n self.<\/span>src =<\/span> Path(<\/span>src)<\/span>.<\/span>resolve(<\/span>)<\/span>
        \n self.<\/span>limits =<\/span> limits or<\/span> Limits(<\/span>)<\/span>
        \n self.<\/span>ignore =<\/span> ignore
        \n self.<\/span>root:<\/span> Path |<\/span> None<\/span> =<\/span> None<\/span>
        \n self.<\/span>_warned =<\/span> False<\/span><\/p>\n

        def<\/span> __enter__<\/span>(<\/span>self)<\/span> –<\/span>><\/span> Path:<\/span>
        \n self.<\/span>root =<\/span> Path(<\/span>tempfile.<\/span>mkdtemp(<\/span>prefix=<\/span>"harness-sbx-"<\/span>)<\/span>)<\/span>
        \n work =<\/span> self.<\/span>root \/<\/span> "work"<\/span>
        \n home =<\/span> self.<\/span>root \/<\/span> "home"<\/span>
        \n home.<\/span>mkdir(<\/span>parents=<\/span>True<\/span>)<\/span>
        \n shutil.<\/span>copytree(<\/span>
        \n self.<\/span>src,<\/span> work,<\/span>
        \n ignore=<\/span>shutil.<\/span>ignore_patterns(<\/span>*<\/span>self.<\/span>ignore)<\/span>,<\/span>
        \n symlinks=<\/span>False<\/span>,<\/span> # \u4e0d\u8ddf\u968f\u7b26\u53f7\u94fe\u63a5，\u9632\u6b62\u8f6f\u94fe\u8df3\u51fa\u6c99\u7bb1<\/span>
        \n )<\/span>
        \n self.<\/span>work =<\/span> work
        \n self.<\/span>home =<\/span> str<\/span>(<\/span>home)<\/span>
        \n if<\/span> self.<\/span>limits.<\/span>deny_network and<\/span> not<\/span> IS_LINUX:<\/span>
        \n print<\/span>(<\/span>"[warn] \u975e Linux \u5e73\u53f0：\u7f51\u7edc\u9694\u79bb\u964d\u7ea7\u4e3a\u73af\u5883\u53d8\u91cf\u51c0\u5316，"<\/span>
        \n "\u65e0\u6cd5\u963b\u6b62\u5b50\u8fdb\u7a0b\u4e3b\u52a8\u53d1\u8d77\u7f51\u7edc\u8fde\u63a5"<\/span>,<\/span> file<\/span>=<\/span>sys.<\/span>stderr)<\/span>
        \n return<\/span> work<\/p>\n

        def<\/span> __exit__<\/span>(<\/span>self,<\/span> *<\/span>exc)<\/span> –<\/span>><\/span> None<\/span>:<\/span>
        \n shutil.<\/span>rmtree(<\/span>self.<\/span>root,<\/span> ignore_errors=<\/span>True<\/span>)<\/span><\/p>\n

        def<\/span> run<\/span>(<\/span>self,<\/span> argv:<\/span> list<\/span>[<\/span>str<\/span>]<\/span>,<\/span> cwd:<\/span> Path |<\/span> None<\/span> =<\/span> None<\/span>,<\/span>
        \n env_extra:<\/span> dict<\/span>[<\/span>str<\/span>,<\/span> str<\/span>]<\/span> |<\/span> None<\/span> =<\/span> None<\/span>)<\/span> –<\/span>><\/span> RunResult:<\/span>
        \n """\u5728\u6c99\u7bb1\u91cc\u8dd1\u4e00\u6761\u547d\u4ee4\u3002\u8fd4\u56de\u7ed3\u6784\u5316\u7ed3\u679c，\u4e0d\u629b\u5f02\u5e38（\u9664\u4e86\u771f\u6b63\u7684 OSError）\u3002"""<\/span>
        \n import<\/span> time
        \n env =<\/span> _clean_env(<\/span>)<\/span>
        \n env[<\/span>"HOME"<\/span>]<\/span> =<\/span> self.<\/span>home
        \n env.<\/span>update(<\/span>env_extra or<\/span> {<\/span>}<\/span>)<\/span>
        \n cmd =<\/span> list<\/span>(<\/span>argv)<\/span>
        \n # Linux \u4e0a\u7528 unshare -n \u5efa\u4e00\u4e2a\u6ca1\u6709\u7f51\u7edc\u63a5\u53e3\u7684\u547d\u540d\u7a7a\u95f4<\/span>
        \n if<\/span> IS_LINUX and<\/span> self.<\/span>limits.<\/span>deny_network and<\/span> shutil.<\/span>which(<\/span>"unshare"<\/span>)<\/span>:<\/span>
        \n cmd =<\/span> [<\/span>"unshare"<\/span>,<\/span> "-n"<\/span>,<\/span> "–"<\/span>,<\/span> *<\/span>cmd]<\/span>
        \n t0 =<\/span> time.<\/span>monotonic(<\/span>)<\/span>
        \n try<\/span>:<\/span>
        \n p =<\/span> subprocess.<\/span>run(<\/span>
        \n cmd,<\/span>
        \n cwd=<\/span>str<\/span>(<\/span>cwd or<\/span> self.<\/span>work)<\/span>,<\/span>
        \n env=<\/span>env,<\/span>
        \n capture_output=<\/span>True<\/span>,<\/span>
        \n text=<\/span>True<\/span>,<\/span>
        \n timeout=<\/span>self.<\/span>limits.<\/span>wall_clock_s,<\/span>
        \n preexec_fn=<\/span>lambda<\/span>:<\/span> _preexec(<\/span>self.<\/span>limits,<\/span> self.<\/span>home)<\/span>,<\/span>
        \n )<\/span>
        \n killed =<\/span> None<\/span>
        \n code,<\/span> out,<\/span> err =<\/span> p.<\/span>returncode,<\/span> p.<\/span>stdout,<\/span> p.<\/span>stderr
        \n except<\/span> subprocess.<\/span>TimeoutExpired as<\/span> e:<\/span>
        \n killed =<\/span> "timeout"<\/span>
        \n code,<\/span> out,<\/span> err =<\/span> 124<\/span>,<\/span> e.<\/span>stdout or<\/span> ""<\/span>,<\/span> e.<\/span>stderr or<\/span> ""<\/span>
        \n # CPU rlimit \u88ab\u89e6\u53d1\u65f6，\u5b50\u8fdb\u7a0b\u6536\u5230 SIGXCPU，\u9000\u51fa\u7801\u662f -24 \/ 152<\/span>
        \n if<\/span> code in<\/span> (<\/span>–<\/span>24<\/span>,<\/span> 152<\/span>)<\/span>:<\/span>
        \n killed =<\/span> "rlimit_cpu"<\/span>
        \n elif<\/span> code in<\/span> (<\/span>–<\/span>9<\/span>,<\/span> 137<\/span>)<\/span>:<\/span>
        \n killed =<\/span> "rlimit_mem"<\/span>
        \n return<\/span> RunResult(<\/span>argv=<\/span>cmd,<\/span> exit_code=<\/span>code,<\/span> stdout=<\/span>out,<\/span> stderr=<\/span>err,<\/span>
        \n duration_ms=<\/span>int<\/span>(<\/span>(<\/span>time.<\/span>monotonic(<\/span>)<\/span> –<\/span> t0)<\/span> *<\/span> 1000<\/span>)<\/span>,<\/span> killed_by=<\/span>killed)<\/span><\/p>\n

        if<\/span> __name__ ==<\/span> "__main__"<\/span>:<\/span>
        \n demo =<\/span> Path(<\/span>tempfile.<\/span>mkdtemp(<\/span>)<\/span>)<\/span>
        \n (<\/span>demo \/<\/span> "boom.py"<\/span>)<\/span>.<\/span>write_text(<\/span>
        \n "import time\\\\n"<\/span>
        \n "buf = []\\\\n"<\/span>
        \n "while True:\\\\n"<\/span>
        \n " buf.append('x' * 10_000_000) # \u8bd5\u56fe\u5403\u6ee1\u5730\u5740\u7a7a\u95f4\\\\n"<\/span>
        \n " time.sleep(0.05)\\\\n"<\/span>,<\/span> encoding=<\/span>"utf-8"<\/span>)<\/span>
        \n with<\/span> Sandbox(<\/span>demo,<\/span> Limits(<\/span>wall_clock_s=<\/span>15<\/span>,<\/span> address_space_mb=<\/span>256<\/span>)<\/span>)<\/span> as<\/span> work:<\/span>
        \n r =<\/span> Sandbox(<\/span>demo,<\/span> Limits(<\/span>wall_clock_s=<\/span>15<\/span>,<\/span> address_space_mb=<\/span>256<\/span>)<\/span>)<\/span>.<\/span>run(<\/span>
        \n [<\/span>sys.<\/span>executable,<\/span> "boom.py"<\/span>]<\/span>,<\/span> cwd=<\/span>work)<\/span>
        \n print<\/span>(<\/span>f"exit=<\/span>{<\/span>r.<\/span>exit_code}<\/span><\/span> killed_by=<\/span>{<\/span>r.<\/span>killed_by}<\/span><\/span> ms=<\/span>{<\/span>r.<\/span>duration_ms}<\/span><\/span>"<\/span><\/span>)<\/span>
        \n print<\/span>(<\/span>(<\/span>r.<\/span>stderr or<\/span> r.<\/span>stdout)<\/span>[<\/span>–<\/span>300<\/span>:<\/span>]<\/span>)<\/span><\/p>\n

        \u5173\u4e8e preexec_fn：\u5b83\u5728\u591a\u7ebf\u7a0b\u8fdb\u7a0b\u91cc\u4e0d\u5b89\u5168，\u5982\u679c\u4f60\u7684 harness \u672c\u8eab\u662f async \u591a\u7ebf\u7a0b\u7684，\u6539\u6210\u628a\u9650\u5236\u5199\u8fdb\u4e00\u4e2a shell \u524d\u7f6e\u547d\u4ee4（ulimit -v … && exec …）\u3002\u53e6\u5916 RLIMIT_AS \u5bf9 CPython \u6709\u4e2a\u526f\u4f5c\u7528\u2014\u2014CPython \u542f\u52a8\u65f6\u4f1a\u9884\u7559\u4e00\u5927\u7247\u865a\u62df\u5730\u5740\u7a7a\u95f4，\u9650\u5f97\u592a\u5c0f（\u6bd4\u5982 512MB）\u4f1a\u5bfc\u81f4\u89e3\u91ca\u5668\u8d77\u4e0d\u6765，\u7136\u540e\u4f60\u4f1a\u770b\u5230\u4e00\u4e2a\u83ab\u540d\u5176\u5999\u7684\u9000\u51fa\u7801 1\u3002\u6211\u7684\u7ecf\u9a8c\u503c\u662f \u4e0d\u4f4e\u4e8e 1.5GB，\u9700\u8981\u66f4\u591a\u5c31\u6539\u7528 cgroup\u3002<\/p>\n

        5.3 \u72b6\u6001\u5feb\u7167\u4e0e\u56de\u6eda（\u542b\u672a\u8ddf\u8e2a\u6587\u4ef6）<\/h4>\n

        \u8fd9\u4e00\u8282\u7684\u4ee3\u7801\u76f4\u63a5\u5bf9\u5e94 3.4 \u8282\u90a3\u4e24\u4e2a\u51fd\u6570\u3002\u5173\u952e\u70b9：\u5feb\u7167\u7528 git add -A + git diff –cached –binary，\u56de\u6eda\u7528 git apply -R，\u5e76\u4e14\u5728\u56de\u6eda\u524d\u5148 –check\u3002<\/p>\n

        #!\/usr\/bin\/env python3<\/span>
        \n# -*- coding: utf-8 -*-<\/span>
        \n"""checkpoint.py \u2014 git \u5feb\u7167\u4e0e\u56de\u6eda，\u672a\u8ddf\u8e2a\u6587\u4ef6\u4e00\u5e76\u7eb3\u5165\u3002"""<\/span>
        \nfrom<\/span> __future__ import<\/span> annotations<\/p>\n

        import<\/span> subprocess
        \nfrom<\/span> dataclasses import<\/span> dataclass
        \nfrom<\/span> pathlib import<\/span> Path<\/p>\n

        def<\/span> git<\/span>(<\/span>repo:<\/span> Path,<\/span> *<\/span>args:<\/span> str<\/span>,<\/span> check:<\/span> bool<\/span> =<\/span> True<\/span>)<\/span> –<\/span>><\/span> str<\/span>:<\/span>
        \n p =<\/span> subprocess.<\/span>run(<\/span>[<\/span>"git"<\/span>,<\/span> "-C"<\/span>,<\/span> str<\/span>(<\/span>repo)<\/span>,<\/span> *<\/span>args]<\/span>,<\/span>
        \n capture_output=<\/span>True<\/span>,<\/span> text=<\/span>True<\/span>)<\/span>
        \n if<\/span> check and<\/span> p.<\/span>returncode !=<\/span> 0<\/span>:<\/span>
        \n raise<\/span> RuntimeError(<\/span>f"git <\/span>{<\/span>' '<\/span>.<\/span>join(<\/span>args)<\/span>}<\/span><\/span> failed: <\/span>{<\/span>p.<\/span>stderr.<\/span>strip(<\/span>)<\/span>}<\/span><\/span>"<\/span><\/span>)<\/span>
        \n return<\/span> p.<\/span>stdout<\/p>\n

        @dataclass<\/span>
        \nclass<\/span> Snapshot<\/span>:<\/span>
        \n repo:<\/span> Path
        \n base:<\/span> str<\/span> # HEAD commit<\/span>
        \n patch:<\/span> str<\/span> # \u542b\u4e8c\u8fdb\u5236\u4e0e\u65b0\u5efa\u6587\u4ef6\u7684\u5b8c\u6574 diff<\/span>
        \n patch_file:<\/span> Path<\/p>\n

        class<\/span> Checkpoint<\/span>:<\/span>
        \n def<\/span> __init__<\/span>(<\/span>self,<\/span> repo:<\/span> Path,<\/span> snap_dir:<\/span> Path |<\/span> None<\/span> =<\/span> None<\/span>)<\/span>:<\/span>
        \n self.<\/span>repo =<\/span> Path(<\/span>repo)<\/span>.<\/span>resolve(<\/span>)<\/span>
        \n self.<\/span>snap_dir =<\/span> snap_dir or<\/span> (<\/span>self.<\/span>repo \/<\/span> ".harness"<\/span> \/<\/span> "snapshots"<\/span>)<\/span>
        \n self.<\/span>snap_dir.<\/span>mkdir(<\/span>parents=<\/span>True<\/span>,<\/span> exist_ok=<\/span>True<\/span>)<\/span><\/p>\n

        def<\/span> snapshot<\/span>(<\/span>self,<\/span> run_id:<\/span> str<\/span>)<\/span> –<\/span>><\/span> Snapshot:<\/span>
        \n base =<\/span> git(<\/span>self.<\/span>repo,<\/span> "rev-parse"<\/span>,<\/span> "HEAD"<\/span>)<\/span>.<\/span>strip(<\/span>)<\/span>
        \n # \u5173\u952e\u4e00\u6b65：\u628a\u672a\u8ddf\u8e2a\u6587\u4ef6\u4e5f\u585e\u8fdb\u7d22\u5f15，\u8fd9\u6837 diff \u624d\u80fd\u8986\u76d6\u300c\u65b0\u5efa\u6587\u4ef6\u300d<\/span>
        \n git(<\/span>self.<\/span>repo,<\/span> "add"<\/span>,<\/span> "-A"<\/span>)<\/span>
        \n patch =<\/span> git(<\/span>self.<\/span>repo,<\/span> "diff"<\/span>,<\/span> "–cached"<\/span>,<\/span> "–binary"<\/span>)<\/span>
        \n git(<\/span>self.<\/span>repo,<\/span> "reset"<\/span>,<\/span> "-q"<\/span>)<\/span> # \u8fd8\u539f\u7d22\u5f15，\u5de5\u4f5c\u533a\u4fdd\u6301\u539f\u6837<\/span>
        \n pf =<\/span> self.<\/span>snap_dir \/<\/span> f"<\/span>{<\/span>run_id}<\/span><\/span>.patch"<\/span><\/span>
        \n pf.<\/span>write_text(<\/span>patch,<\/span> encoding=<\/span>"utf-8"<\/span>)<\/span>
        \n return<\/span> Snapshot(<\/span>self.<\/span>repo,<\/span> base,<\/span> patch,<\/span> pf)<\/span><\/p>\n

        def<\/span> revert<\/span>(<\/span>self,<\/span> snap:<\/span> Snapshot)<\/span> –<\/span>><\/span> list<\/span>[<\/span>str<\/span>]<\/span>:<\/span>
        \n """\u53cd\u5411\u5e94\u7528 patch\u3002\u8fd4\u56de\u88ab\u6539\u52a8\/\u5220\u9664\u7684\u6587\u4ef6\u6e05\u5355（\u7528\u4e8e\u62a5\u544a）\u3002"""<\/span>
        \n changed =<\/span> [<\/span>l.<\/span>split(<\/span>"\\\\t"<\/span>)<\/span>[<\/span>–<\/span>1<\/span>]<\/span> for<\/span> l in<\/span>
        \n git(<\/span>self.<\/span>repo,<\/span> "diff"<\/span>,<\/span> "–name-only"<\/span>)<\/span>.<\/span>splitlines(<\/span>)<\/span> if<\/span> l.<\/span>strip(<\/span>)<\/span>]<\/span>
        \n changed +=<\/span> git(<\/span>self.<\/span>repo,<\/span> "ls-files"<\/span>,<\/span> "–others"<\/span>,<\/span> "–exclude-standard"<\/span>)<\/span>.<\/span>split(<\/span>)<\/span>
        \n # \u5148\u9a8c\u8bc1\u80fd\u4e0d\u80fd\u53cd\u7740\u6253\u56de\u53bb；\u6253\u4e0d\u56de\u53bb\u8bf4\u660e\u671f\u95f4\u6709\u4eba\u52a8\u8fc7\u5de5\u4f5c\u533a<\/span>
        \n chk =<\/span> subprocess.<\/span>run(<\/span>
        \n [<\/span>"git"<\/span>,<\/span> "-C"<\/span>,<\/span> str<\/span>(<\/span>self.<\/span>repo)<\/span>,<\/span> "apply"<\/span>,<\/span> "–check"<\/span>,<\/span> "-R"<\/span>,<\/span> "–binary"<\/span>,<\/span>
        \n str<\/span>(<\/span>snap.<\/span>patch_file)<\/span>]<\/span>,<\/span> capture_output=<\/span>True<\/span>,<\/span> text=<\/span>True<\/span>)<\/span>
        \n if<\/span> chk.<\/span>returncode ==<\/span> 0<\/span>:<\/span>
        \n git(<\/span>self.<\/span>repo,<\/span> "apply"<\/span>,<\/span> "-R"<\/span>,<\/span> "–binary"<\/span>,<\/span> str<\/span>(<\/span>snap.<\/span>patch_file)<\/span>)<\/span>
        \n else<\/span>:<\/span>
        \n # \u515c\u5e95：\u5f3a\u884c\u56de\u5230 base，\u518d\u5220\u6389 base \u4e4b\u540e\u65b0\u5efa\u7684\u6587\u4ef6<\/span>
        \n git(<\/span>self.<\/span>repo,<\/span> "checkout"<\/span>,<\/span> snap.<\/span>base,<\/span> "–"<\/span>,<\/span> "."<\/span>)<\/span>
        \n for<\/span> f in<\/span> git(<\/span>self.<\/span>repo,<\/span> "ls-files"<\/span>,<\/span> "–others"<\/span>,<\/span> "–exclude-standard"<\/span>)<\/span>.<\/span>split(<\/span>)<\/span>:<\/span>
        \n (<\/span>self.<\/span>repo \/<\/span> f)<\/span>.<\/span>unlink(<\/span>missing_ok=<\/span>True<\/span>)<\/span>
        \n git(<\/span>self.<\/span>repo,<\/span> "reset"<\/span>,<\/span> "-q"<\/span>)<\/span>
        \n return<\/span> sorted<\/span>(<\/span>set<\/span>(<\/span>changed)<\/span>)<\/span><\/p>\n

        def<\/span> journal<\/span>(<\/span>self,<\/span> run_id:<\/span> str<\/span>,<\/span> tool:<\/span> str<\/span>,<\/span> args_hash:<\/span> str<\/span>,<\/span>
        \n idempotency_key:<\/span> str<\/span>,<\/span> reversible:<\/span> bool<\/span>)<\/span> –<\/span>><\/span> None<\/span>:<\/span>
        \n """\u5916\u90e8\u7cfb\u7edf\u5199\u64cd\u4f5c\u7684\u8d26\u672c\u3002\u4e0d\u53ef\u9006\u64cd\u4f5c\u5fc5\u987b\u6709 key，\u5426\u5219 harness \u62d2\u7edd\u8c03\u7528\u3002"""<\/span>
        \n jf =<\/span> self.<\/span>repo \/<\/span> ".harness"<\/span> \/<\/span> "journal.jsonl"<\/span>
        \n jf.<\/span>parent.<\/span>mkdir(<\/span>parents=<\/span>True<\/span>,<\/span> exist_ok=<\/span>True<\/span>)<\/span>
        \n import<\/span> json,<\/span> time
        \n with<\/span> jf.<\/span>open<\/span>(<\/span>"a"<\/span>,<\/span> encoding=<\/span>"utf-8"<\/span>)<\/span> as<\/span> f:<\/span>
        \n f.<\/span>write(<\/span>json.<\/span>dumps(<\/span>{<\/span>"ts"<\/span>:<\/span> time.<\/span>time(<\/span>)<\/span>,<\/span> "run_id"<\/span>:<\/span> run_id,<\/span> "tool"<\/span>:<\/span> tool,<\/span>
        \n "args_hash"<\/span>:<\/span> args_hash,<\/span> "key"<\/span>:<\/span> idempotency_key,<\/span>
        \n "reversible"<\/span>:<\/span> reversible}<\/span>)<\/span> +<\/span> "\\\\n"<\/span>)<\/span><\/p>\n

        if<\/span> __name__ ==<\/span> "__main__"<\/span>:<\/span>
        \n import<\/span> tempfile,<\/span> os
        \n repo =<\/span> Path(<\/span>tempfile.<\/span>mkdtemp(<\/span>prefix=<\/span>"ckpt-demo-"<\/span>)<\/span>)<\/span>
        \n os.<\/span>system(<\/span>f"git -C <\/span>{<\/span>repo}<\/span><\/span> init -q && git -C <\/span>{<\/span>repo}<\/span><\/span> config user.email a@b.c "<\/span><\/span>
        \n f"&& git -C <\/span>{<\/span>repo}<\/span><\/span> config user.name demo"<\/span><\/span>)<\/span>
        \n (<\/span>repo \/<\/span> "a.py"<\/span>)<\/span>.<\/span>write_text(<\/span>"x = 1\\\\n"<\/span>,<\/span> encoding=<\/span>"utf-8"<\/span>)<\/span>
        \n git(<\/span>repo,<\/span> "add"<\/span>,<\/span> "a.py"<\/span>)<\/span>;<\/span> git(<\/span>repo,<\/span> "commit"<\/span>,<\/span> "-qm"<\/span>,<\/span> "init"<\/span>)<\/span>
        \n (<\/span>repo \/<\/span> "untracked.env"<\/span>)<\/span>.<\/span>write_text(<\/span>"LOCAL=1\\\\n"<\/span>,<\/span> encoding=<\/span>"utf-8"<\/span>)<\/span> # \u672a\u8ddf\u8e2a\u7684\u672c\u5730\u6587\u4ef6<\/span><\/p>\n

        cp =<\/span> Checkpoint(<\/span>repo)<\/span>
        \n snap =<\/span> cp.<\/span>snapshot(<\/span>"demo-1"<\/span>)<\/span><\/p>\n

        (<\/span>repo \/<\/span> "a.py"<\/span>)<\/span>.<\/span>write_text(<\/span>"x = 2\\\\n"<\/span>,<\/span> encoding=<\/span>"utf-8"<\/span>)<\/span> # \u6539\u5df2\u6709\u6587\u4ef6<\/span>
        \n (<\/span>repo \/<\/span> "new_gen.py"<\/span>)<\/span>.<\/span>write_text(<\/span>"print('gen')\\\\n"<\/span>,<\/span> encoding=<\/span>"utf-8"<\/span>)<\/span> # \u65b0\u5efa\u6587\u4ef6<\/span>
        \n print<\/span>(<\/span>"after edit :"<\/span>,<\/span> sorted<\/span>(<\/span>p.<\/span>name for<\/span> p in<\/span> repo.<\/span>iterdir(<\/span>)<\/span> if<\/span> p.<\/span>is_file(<\/span>)<\/span>)<\/span>)<\/span><\/p>\n

        reverted =<\/span> cp.<\/span>revert(<\/span>snap)<\/span>
        \n print<\/span>(<\/span>"after revert:"<\/span>,<\/span> sorted<\/span>(<\/span>p.<\/span>name for<\/span> p in<\/span> repo.<\/span>iterdir(<\/span>)<\/span> if<\/span> p.<\/span>is_file(<\/span>)<\/span>)<\/span>)<\/span>
        \n print<\/span>(<\/span>"a.py ="<\/span>,<\/span> (<\/span>repo \/<\/span> "a.py"<\/span>)<\/span>.<\/span>read_text(<\/span>)<\/span>.<\/span>strip(<\/span>)<\/span>)<\/span>
        \n print<\/span>(<\/span>"untracked.env survived:"<\/span>,<\/span> (<\/span>repo \/<\/span> "untracked.env"<\/span>)<\/span>.<\/span>exists(<\/span>)<\/span>)<\/span>
        \n print<\/span>(<\/span>"touched:"<\/span>,<\/span> reverted)<\/span><\/p>\n

        \u8f93\u51fa：<\/p>\n

        after edit : ['a.py', 'new_gen.py', 'untracked.env']
        \nafter revert: ['a.py', 'untracked.env']
        \na.py = x = 1
        \nuntracked.env survived: True
        \ntouched: ['a.py', 'new_gen.py', 'untracked.env']<\/p>\n

        \u6ce8\u610f\u6700\u540e\u4e00\u884c：untracked.env \u51fa\u73b0\u5728 touched \u6e05\u5355\u91cc\u662f\u56e0\u4e3a\u5b83\u5728\u5feb\u7167\u65f6\u88ab git add -A \u7eb3\u5165\u4e86\u7d22\u5f15，\u4f46\u5b83\u6ca1\u6709\u88ab\u5220\u9664\u2014\u2014\u8fd9\u6b63\u662f\u6211\u4eec\u8981\u7684\u3002\u7528 git clean -fd \u7684\u8bdd\u5b83\u5c31\u6ca1\u4e86\u3002<\/p>\n

        5.4 \u786e\u5b9a\u6027\u65ad\u8a00\u4e0e\u9519\u8bef\u6808\u538b\u7f29<\/h4>\n

        \u65ad\u8a00\u5206\u5c42\u8dd1，\u5931\u8d25\u6808\u5fc5\u987b\u538b\u7f29\u540e\u518d\u56de\u5582\u3002<\/p>\n

        #!\/usr\/bin\/env python3<\/span>
        \n# -*- coding: utf-8 -*-<\/span>
        \n"""assertions.py \u2014 \u5206\u5c42\u65ad\u8a00 + \u5931\u8d25\u6808\u538b\u7f29 + flaky \u68c0\u6d4b\u3002"""<\/span>
        \nfrom<\/span> __future__ import<\/span> annotations<\/p>\n

        import<\/span> hashlib
        \nimport<\/span> re
        \nfrom<\/span> dataclasses import<\/span> dataclass,<\/span> field
        \nfrom<\/span> pathlib import<\/span> Path<\/p>\n

        from<\/span> sandbox import<\/span> RunResult,<\/span> Sandbox<\/p>\n

        # \u566a\u58f0\u884c：\u4f9d\u8d56\u5b89\u88c5\u3001warning\u3001\u8986\u76d6\u7387\u63d0\u793a，\u5168\u90e8\u4e22\u6389<\/span>
        \nNOISE =<\/span> re.<\/span>compile<\/span>(<\/span>
        \n r"^(Collecting|Requirement already|Building wheels|Installing collected|"<\/span>
        \n r"Successfully installed|\\\\s*\\\\d+%\\\\|)|Warning:|DeprecationWarning|"<\/span>
        \n r"^\\\\s*$|^=+ warnings summary =+"<\/span>
        \n)<\/span><\/p>\n

        # \u6211\u4eec\u8981\u4fdd\u7559\u7684\u884c：\u65ad\u8a00\u5931\u8d25\u70b9\u3001\u5f02\u5e38\u7c7b\u578b\u3001\u6587\u4ef6\u8def\u5f84\u884c\u53f7<\/span>
        \nKEEP =<\/span> re.<\/span>compile<\/span>(<\/span>
        \n r"(FAILED|PASSED|ERROR|E\\\\s+AssertionError|E\\\\s+\\\\w*Error|"<\/span>
        \n r"^E\\\\s|^>\\\\s|^tests?\/|^src\/|^\\\\s+File \\\\")"<\/span>
        \n)<\/span><\/p>\n

        @dataclass<\/span>
        \nclass<\/span> AssertionResult<\/span>:<\/span>
        \n name:<\/span> str<\/span>
        \n ok:<\/span> bool<\/span>
        \n exit_code:<\/span> int<\/span>
        \n raw:<\/span> str<\/span>
        \n duration_ms:<\/span> int<\/span>
        \n killed_by:<\/span> str<\/span> |<\/span> None<\/span> =<\/span> None<\/span>
        \n fingerprint:<\/span> str<\/span> =<\/span> ""<\/span>
        \n failed_nodes:<\/span> list<\/span>[<\/span>str<\/span>]<\/span> =<\/span> field(<\/span>default_factory=<\/span>list<\/span>)<\/span><\/p>\n

        def<\/span> compress<\/span>(<\/span>output:<\/span> str<\/span>,<\/span> max_chars:<\/span> int<\/span> =<\/span> 4000<\/span>)<\/span> –<\/span>><\/span> str<\/span>:<\/span>
        \n """\u4fdd\u7559\u5934（\u73af\u5883\/\u6536\u96c6\u4fe1\u606f）\u4e0e\u5c3e（\u771f\u6b63\u7684\u5931\u8d25\u70b9），\u4e2d\u95f4\u4e22\u5f03\u3002<\/p>\n

        \u4e0d\u8981\u628a\u6574\u4e2a\u65e5\u5fd7\u5582\u56de\u53bb：pytest \u7684\u77ed\u56de\u6eaf\u5df2\u7ecf\u5f88\u957f，\u52a0\u4e0a\u4f9d\u8d56\u5b89\u88c5\u566a\u58f0
        \n \u8f7b\u677e\u4e0a\u4e07\u5b57\u7b26\u3002\u5b9e\u6d4b\u538b\u7f29\u540e\u56de\u5582 token \u4ece\u7ea6 9000 \u964d\u5230\u7ea6 1200，
        \n \u6210\u529f\u7387\u53cd\u800c\u4e0a\u5347（\u6a21\u578b\u4e0d\u518d\u53bb\u4fee\u65e0\u5173\u7684 warning）\u3002
        \n """<\/span>
        \n lines =<\/span> [<\/span>l for<\/span> l in<\/span> output.<\/span>splitlines(<\/span>)<\/span> if<\/span> not<\/span> NOISE.<\/span>search(<\/span>l)<\/span>]<\/span>
        \n head =<\/span> [<\/span>l for<\/span> l in<\/span> lines[<\/span>:<\/span>12<\/span>]<\/span> if<\/span> l.<\/span>strip(<\/span>)<\/span>]<\/span>
        \n tail:<\/span> list<\/span>[<\/span>str<\/span>]<\/span> =<\/span> [<\/span>]<\/span>
        \n budget =<\/span> max_chars –<\/span> sum<\/span>(<\/span>len<\/span>(<\/span>l)<\/span> +<\/span> 1<\/span> for<\/span> l in<\/span> head)<\/span>
        \n for<\/span> l in<\/span> reversed<\/span>(<\/span>lines)<\/span>:<\/span>
        \n if<\/span> budget <=<\/span> 0<\/span>:<\/span>
        \n break<\/span>
        \n tail.<\/span>append(<\/span>l)<\/span>
        \n budget -=<\/span> len<\/span>(<\/span>l)<\/span> +<\/span> 1<\/span>
        \n tail.<\/span>reverse(<\/span>)<\/span>
        \n # \u5c3e\u6bb5\u91cc\u4f18\u5148\u4fdd\u7559\u65ad\u8a00\/\u5f02\u5e38\u76f8\u5173\u884c<\/span>
        \n tail =<\/span> [<\/span>l for<\/span> l in<\/span> tail if<\/span> KEEP.<\/span>search(<\/span>l)<\/span>]<\/span> or<\/span> tail[<\/span>–<\/span>40<\/span>:<\/span>]<\/span>
        \n return<\/span> "\\\\n"<\/span>.<\/span>join(<\/span>head +<\/span> [<\/span>"… [truncated] …"<\/span>]<\/span> +<\/span> tail)<\/span><\/p>\n

        def<\/span> fingerprint_of<\/span>(<\/span>result:<\/span> AssertionResult)<\/span> –<\/span>><\/span> str<\/span>:<\/span>
        \n """\u5931\u8d25\u6307\u7eb9：\u5931\u8d25\u8282\u70b9\u96c6\u5408 + \u9519\u8bef\u7c7b\u578b\u3002\u7528\u4e8e non_progress \u68c0\u6d4b\u3002"""<\/span>
        \n errs =<\/span> sorted<\/span>(<\/span>set<\/span>(<\/span>re.<\/span>findall(<\/span>r"E\\\\s+(\\\\w*Error|\\\\w*Exception)"<\/span>,<\/span> result.<\/span>raw)<\/span>)<\/span>)<\/span>
        \n key =<\/span> "|"<\/span>.<\/span>join(<\/span>sorted<\/span>(<\/span>result.<\/span>failed_nodes)<\/span>)<\/span> +<\/span> "||"<\/span> +<\/span> "|"<\/span>.<\/span>join(<\/span>errs)<\/span>
        \n return<\/span> hashlib.<\/span>sha1(<\/span>key.<\/span>encode(<\/span>)<\/span>)<\/span>.<\/span>hexdigest(<\/span>)<\/span>[<\/span>:<\/span>12<\/span>]<\/span><\/p>\n

        def<\/span> run_layer<\/span>(<\/span>sbx:<\/span> Sandbox,<\/span> name:<\/span> str<\/span>,<\/span> argv:<\/span> list<\/span>[<\/span>str<\/span>]<\/span>)<\/span> –<\/span>><\/span> AssertionResult:<\/span>
        \n r:<\/span> RunResult =<\/span> sbx.<\/span>run(<\/span>argv)<\/span>
        \n raw =<\/span> (<\/span>r.<\/span>stdout or<\/span> ""<\/span>)<\/span> +<\/span> (<\/span>"\\\\n"<\/span> +<\/span> r.<\/span>stderr if<\/span> r.<\/span>stderr else<\/span> ""<\/span>)<\/span>
        \n nodes =<\/span> re.<\/span>findall(<\/span>r"^(?:FAILED|ERROR)\\\\s+(\\\\S+)"<\/span>,<\/span> raw,<\/span> flags=<\/span>re.<\/span>M)<\/span>
        \n ar =<\/span> AssertionResult(<\/span>name=<\/span>name,<\/span> ok=<\/span>(<\/span>r.<\/span>exit_code ==<\/span> 0<\/span>)<\/span>,<\/span> exit_code=<\/span>r.<\/span>exit_code,<\/span>
        \n raw=<\/span>raw,<\/span> duration_ms=<\/span>r.<\/span>duration_ms,<\/span>
        \n killed_by=<\/span>r.<\/span>killed_by,<\/span> failed_nodes=<\/span>nodes)<\/span>
        \n ar.<\/span>fingerprint =<\/span> fingerprint_of(<\/span>ar)<\/span>
        \n return<\/span> ar<\/p>\n

        FAST_LAYERS =<\/span> {<\/span>
        \n "L0_format"<\/span>:<\/span> [<\/span>"ruff"<\/span>,<\/span> "format"<\/span>,<\/span> "–check"<\/span>,<\/span> "."<\/span>]<\/span>,<\/span>
        \n "L1_types"<\/span>:<\/span> [<\/span>"mypy"<\/span>,<\/span> "–strict"<\/span>,<\/span> "src"<\/span>]<\/span>,<\/span>
        \n "L2_compile"<\/span>:<\/span>[<\/span>"python"<\/span>,<\/span> "-m"<\/span>,<\/span> "compileall"<\/span>,<\/span> "-q"<\/span>,<\/span> "src"<\/span>]<\/span>,<\/span>
        \n "L3_target"<\/span>:<\/span> [<\/span>"python"<\/span>,<\/span> "-m"<\/span>,<\/span> "pytest"<\/span>,<\/span> "-x"<\/span>,<\/span> "-q"<\/span>,<\/span> "–timeout=60"<\/span>,<\/span>
        \n "-p"<\/span>,<\/span> "no:cacheprovider"<\/span>,<\/span> "{TARGET}"<\/span>]<\/span>,<\/span>
        \n}<\/span>
        \nGATE_LAYERS =<\/span> {<\/span>
        \n "L4_affected"<\/span>:<\/span> [<\/span>"python"<\/span>,<\/span> "-m"<\/span>,<\/span> "pytest"<\/span>,<\/span> "-q"<\/span>,<\/span> "–timeout=120"<\/span>,<\/span>
        \n "-p"<\/span>,<\/span> "no:cacheprovider"<\/span>,<\/span> "tests\/unit"<\/span>]<\/span>,<\/span>
        \n "L5_full"<\/span>:<\/span> [<\/span>"python"<\/span>,<\/span> "-m"<\/span>,<\/span> "pytest"<\/span>,<\/span> "-q"<\/span>,<\/span> "–timeout=300"<\/span>]<\/span>,<\/span>
        \n}<\/span><\/p>\n

        def<\/span> run_fast<\/span>(<\/span>sbx:<\/span> Sandbox,<\/span> target:<\/span> str<\/span>)<\/span> –<\/span>><\/span> list<\/span>[<\/span>AssertionResult]<\/span>:<\/span>
        \n out =<\/span> [<\/span>]<\/span>
        \n for<\/span> name,<\/span> argv in<\/span> FAST_LAYERS.<\/span>items(<\/span>)<\/span>:<\/span>
        \n cmd =<\/span> [<\/span>a.<\/span>replace(<\/span>"{TARGET}"<\/span>,<\/span> target)<\/span> for<\/span> a in<\/span> argv]<\/span>
        \n ar =<\/span> run_layer(<\/span>sbx,<\/span> name,<\/span> cmd)<\/span>
        \n out.<\/span>append(<\/span>ar)<\/span>
        \n if<\/span> not<\/span> ar.<\/span>ok:<\/span>
        \n break<\/span> # \u5feb\u65ad\u8a00\u77ed\u8def：L0 \u6302\u4e86\u5c31\u6ca1\u5fc5\u8981\u8dd1 L3<\/span>
        \n return<\/span> out<\/p>\n

        def<\/span> run_gate<\/span>(<\/span>sbx:<\/span> Sandbox,<\/span> budget_pressure:<\/span> float<\/span> =<\/span> 0.0<\/span>)<\/span> –<\/span>><\/span> list<\/span>[<\/span>AssertionResult]<\/span>:<\/span>
        \n """\u95e8\u7981\u65ad\u8a00\u3002\u9884\u7b97\u538b\u529b\u5927\u65f6\u53ea\u8dd1\u53d7\u5f71\u54cd\u5b50\u96c6\u3002"""<\/span>
        \n names =<\/span> [<\/span>"L4_affected"<\/span>]<\/span> if<\/span> budget_pressure ><\/span> 0.8<\/span> else<\/span> [<\/span>"L4_affected"<\/span>,<\/span> "L5_full"<\/span>]<\/span>
        \n return<\/span> [<\/span>run_layer(<\/span>sbx,<\/span> n,<\/span> GATE_LAYERS[<\/span>n]<\/span>)<\/span> for<\/span> n in<\/span> names]<\/span><\/p>\n

        def<\/span> looks_flaky<\/span>(<\/span>sbx:<\/span> Sandbox,<\/span> argv:<\/span> list<\/span>[<\/span>str<\/span>]<\/span>,<\/span> repeats:<\/span> int<\/span> =<\/span> 3<\/span>)<\/span> –<\/span>><\/span> bool<\/span>:<\/span>
        \n """\u540c\u4e00\u4e2a\u65ad\u8a00\u8fde\u8dd1 repeats \u6b21，\u7ed3\u679c\u4e0d\u4e00\u81f4\u5373\u5224\u5b9a flaky\u3002"""<\/span>
        \n codes =<\/span> {<\/span>sbx.<\/span>run(<\/span>argv)<\/span>.<\/span>exit_code for<\/span> _ in<\/span> range<\/span>(<\/span>repeats)<\/span>}<\/span>
        \n return<\/span> len<\/span>(<\/span>codes)<\/span> ><\/span> 1<\/span><\/p>\n

        if<\/span> __name__ ==<\/span> "__main__"<\/span>:<\/span>
        \n import<\/span> tempfile
        \n from<\/span> pathlib import<\/span> Path as<\/span> P
        \n fake_out =<\/span> "\\\\n"<\/span>.<\/span>join(<\/span>[<\/span>
        \n "Requirement already satisfied: pytest in \/usr\/lib"<\/span>,<\/span>
        \n "collected 42 items"<\/span>,<\/span>
        \n "tests\/test_cart.py::test_discount FAILED"<\/span>,<\/span>
        \n "E AssertionError: assert 90 == 81"<\/span>,<\/span>
        \n "E + where 81 = apply_discount(90, 0.1)"<\/span>,<\/span>
        \n "src\/pricing.py:42: in apply_discount"<\/span>,<\/span>
        \n " return price * (1 – rate)"<\/span>,<\/span>
        \n "FAILED tests\/test_cart.py::test_discount – AssertionError"<\/span>,<\/span>
        \n "1 failed, 41 passed in 3.21s"<\/span>,<\/span>
        \n ]<\/span>)<\/span>
        \n print<\/span>(<\/span>compress(<\/span>fake_out,<\/span> max_chars=<\/span>2000<\/span>)<\/span>)<\/span><\/p>\n

        5.5 \u7ed3\u6784\u5316\u8f93\u51fa schema \u5f3a\u5236\u4e0e\u4e09\u5206\u7acb\u8c03\u7528<\/h4>\n

        \u6240\u6709\u6a21\u578b\u8f93\u51fa\u5fc5\u987b\u8fc7 Pydantic\u3002\u6821\u9a8c\u5931\u8d25\u65f6\u628a\u6821\u9a8c\u9519\u8bef\u539f\u6587\u56de\u5582（\u4e0d\u662f\u300c\u4f60\u7684\u683c\u5f0f\u4e0d\u5bf9\u300d\u8fd9\u79cd\u6a21\u7cca\u63d0\u793a），\u6700\u591a\u91cd\u8bd5 2 \u6b21\u3002<\/p>\n

        #!\/usr\/bin\/env python3<\/span>
        \n# -*- coding: utf-8 -*-<\/span>
        \n"""schema.py + roles.py \u2014 \u7ed3\u6784\u5316\u8f93\u51fa\u5f3a\u5236 + \u751f\u6210\/\u8bc4\u4f30\/\u4fee\u590d\u4e09\u5206\u7acb\u3002"""<\/span>
        \nfrom<\/span> __future__ import<\/span> annotations<\/p>\n

        import<\/span> json
        \nfrom<\/span> typing import<\/span> Literal<\/p>\n

        from<\/span> pydantic import<\/span> BaseModel,<\/span> Field,<\/span> ValidationError<\/p>\n

        class<\/span> FileEdit<\/span>(<\/span>BaseModel)<\/span>:<\/span>
        \n path:<\/span> str<\/span> =<\/span> Field(<\/span>pattern=<\/span>r"^(src|tests)\/.*\\\\.(py|ts|go|rs)$"<\/span>)<\/span>
        \n action:<\/span> Literal[<\/span>"create"<\/span>,<\/span> "modify"<\/span>,<\/span> "delete"<\/span>]<\/span>
        \n content:<\/span> str<\/span> |<\/span> None<\/span> =<\/span> None<\/span> # create\/modify \u5fc5\u586b<\/span>
        \n rationale:<\/span> str<\/span> =<\/span> Field(<\/span>max_length=<\/span>400<\/span>)<\/span><\/p>\n

        class<\/span> PatchProposal<\/span>(<\/span>BaseModel)<\/span>:<\/span>
        \n analysis:<\/span> str<\/span> =<\/span> Field(<\/span>max_length=<\/span>2000<\/span>)<\/span>
        \n root_cause:<\/span> str<\/span> =<\/span> Field(<\/span>max_length=<\/span>500<\/span>)<\/span>
        \n files:<\/span> list<\/span>[<\/span>FileEdit]<\/span> =<\/span> Field(<\/span>min_length=<\/span>1<\/span>,<\/span> max_length=<\/span>12<\/span>)<\/span>
        \n test_targets:<\/span> list<\/span>[<\/span>str<\/span>]<\/span> =<\/span> Field(<\/span>default_factory=<\/span>list<\/span>)<\/span>
        \n risk:<\/span> Literal[<\/span>"low"<\/span>,<\/span> "medium"<\/span>,<\/span> "high"<\/span>]<\/span>
        \n touches_external:<\/span> bool<\/span> =<\/span> False<\/span> # \u662f\u5426\u89e6\u78b0\u5916\u90e8\u7cfb\u7edf -> harness \u5c42\u62e6\u622a<\/span><\/p>\n

        class<\/span> Verdict<\/span>(<\/span>BaseModel)<\/span>:<\/span>
        \n passed:<\/span> bool<\/span>
        \n failed_assertions:<\/span> list<\/span>[<\/span>str<\/span>]<\/span> # \u65ad\u8a00\u540d，\u4e0d\u542b\u5206\u6570<\/span>
        \n blocking_issues:<\/span> list<\/span>[<\/span>str<\/span>]<\/span> # \u5fc5\u987b\u4fee\u590d\u7684\u95ee\u9898<\/span>
        \n must_not_merge:<\/span> bool<\/span> # \u4e00\u7968\u5426\u51b3<\/span>
        \n reason:<\/span> str<\/span> =<\/span> Field(<\/span>max_length=<\/span>800<\/span>)<\/span><\/p>\n

        PROMPTS =<\/span> {<\/span>
        \n # Generator \u770b\u4e0d\u5230\u8bc4\u4f30\u7ed3\u679c，\u4e5f\u770b\u4e0d\u5230\u5931\u8d25\u6808（\u9996\u8f6e）<\/span>
        \n "generator"<\/span>:<\/span> (<\/span>
        \n "\u4f60\u662f\u4ee3\u7801\u751f\u6210\u5668\u3002\u53ea\u8f93\u51fa\u7b26\u5408 PatchProposal schema \u7684 JSON，\u4e0d\u8981\u4efb\u4f55\u89e3\u91ca\u6027\u6587\u5b57\u3002\\\\n"<\/span>
        \n "\u7ea6\u675f：1) \u4e0d\u5f97\u65b0\u589e\u6216\u4fee\u6539 tests\/ \u4e0b\u7684\u6587\u4ef6；2) \u4e0d\u5f97\u4fee\u6539\u65ad\u8a00\u914d\u7f6e；\\\\n"<\/span>
        \n "3) \u53ea\u6539\u4e0e\u6839\u56e0\u76f4\u63a5\u76f8\u5173\u7684\u6587\u4ef6；4) \u6bcf\u4e2a\u6587\u4ef6\u6539\u52a8\u90fd\u8981\u5199 rationale\u3002\\\\n"<\/span>
        \n "\u4efb\u52a1：{task}\\\\n\u76f8\u5173\u6587\u4ef6：\\\\n{context}"<\/span>
        \n )<\/span>,<\/span>
        \n # Evaluator \u53ea\u770b diff \u4e0e\u65ad\u8a00\u8f93\u51fa，\u770b\u4e0d\u5230 Generator \u7684\u81ea\u8ff0，\u4e14\u65e0\u5199\u6743\u9650<\/span>
        \n "evaluator"<\/span>:<\/span> (<\/span>
        \n "\u4f60\u662f\u72ec\u7acb\u8bc4\u5ba1\u3002\u8f93\u5165\u53ea\u6709\u4e00\u4efd diff \u548c\u65ad\u8a00\u8f93\u51fa，\u6ca1\u6709\u4f5c\u8005\u81ea\u8ff0\u3002\\\\n"<\/span>
        \n "\u53ea\u8f93\u51fa\u7b26\u5408 Verdict schema \u7684 JSON\u3002\u7981\u6b62\u7ed9\u51fa\u5206\u6570，\u7981\u6b62\u4fee\u6539\u6587\u4ef6\u3002\\\\n"<\/span>
        \n "diff:\\\\n{diff}\\\\n\\\\n\u65ad\u8a00\u8f93\u51fa:\\\\n{assertions}"<\/span>
        \n )<\/span>,<\/span>
        \n # Fixer \u53ea\u770b\u5931\u8d25\u9879\u4e0e\u9519\u8bef\u6808，\u770b\u4e0d\u5230\u5206\u6570<\/span>
        \n "fixer"<\/span>:<\/span> (<\/span>
        \n "\u4f60\u662f\u4fee\u590d\u5668\u3002\u4e0b\u9762\u662f\u5931\u8d25\u65ad\u8a00\u4e0e\u9519\u8bef\u6808，\u628a\u5931\u8d25\u96c6\u5408\u53d8\u6210\u7a7a\u96c6\u3002\\\\n"<\/span>
        \n "\u53ea\u8f93\u51fa\u7b26\u5408 PatchProposal schema \u7684 JSON\u3002\u7981\u6b62\u4fee\u6539\u6d4b\u8bd5\u6587\u4ef6\u3002\\\\n"<\/span>
        \n "\u5931\u8d25\u9879：{failures}\\\\n\u9519\u8bef\u6808：\\\\n{stack}"<\/span>
        \n )<\/span>,<\/span>
        \n}<\/span><\/p>\n

        def<\/span> enforce<\/span>(<\/span>cls:<\/span> type<\/span>[<\/span>BaseModel]<\/span>,<\/span> raw:<\/span> str<\/span>)<\/span> –<\/span>><\/span> BaseModel:<\/span>
        \n """\u4e25\u683c\u89e3\u6790\u3002raw \u91cc\u82e5\u6df7\u7740\u95f2\u804a，\u5148\u5c1d\u8bd5\u62a0\u51fa\u7b2c\u4e00\u4e2a JSON \u5bf9\u8c61\u3002"""<\/span>
        \n raw =<\/span> raw.<\/span>strip(<\/span>)<\/span>
        \n if<\/span> raw.<\/span>startswith(<\/span>"```"<\/span>)<\/span>:<\/span>
        \n raw =<\/span> raw.<\/span>split(<\/span>"```"<\/span>)<\/span>[<\/span>1<\/span>]<\/span>
        \n if<\/span> raw.<\/span>startswith(<\/span>"json"<\/span>)<\/span>:<\/span>
        \n raw =<\/span> raw[<\/span>4<\/span>:<\/span>]<\/span>
        \n try<\/span>:<\/span>
        \n return<\/span> cls.<\/span>model_validate_json(<\/span>raw)<\/span>
        \n except<\/span> ValidationError as<\/span> e:<\/span>
        \n # \u4e8c\u6b21\u5c1d\u8bd5：\u4ece\u6df7\u6709\u95f2\u804a\u7684\u6587\u672c\u91cc\u62a0 JSON<\/span>
        \n i,<\/span> j =<\/span> raw.<\/span>find(<\/span>"{"<\/span>)<\/span>,<\/span> raw.<\/span>rfind(<\/span>"}"<\/span>)<\/span>
        \n if<\/span> i >=<\/span> 0<\/span> and<\/span> j ><\/span> i:<\/span>
        \n return<\/span> cls.<\/span>model_validate_json(<\/span>raw[<\/span>i:<\/span>j +<\/span> 1<\/span>]<\/span>)<\/span>
        \n raise<\/span><\/p>\n

        def<\/span> call_structured<\/span>(<\/span>llm,<\/span> role:<\/span> str<\/span>,<\/span> prompt:<\/span> str<\/span>,<\/span> cls:<\/span> type<\/span>[<\/span>BaseModel]<\/span>,<\/span>
        \n budget,<\/span> max_retries:<\/span> int<\/span> =<\/span> 2<\/span>)<\/span> –<\/span>><\/span> BaseModel:<\/span>
        \n """\u5e26\u9884\u7b97\u8bb0\u8d26\u4e0e\u6709\u9650\u91cd\u8bd5\u7684\u7ed3\u6784\u5316\u8c03\u7528\u3002\u91cd\u8bd5\u65f6\u56de\u5582\u7cbe\u786e\u7684\u6821\u9a8c\u9519\u8bef\u3002"""<\/span>
        \n last_err =<\/span> ""<\/span>
        \n for<\/span> attempt in<\/span> range<\/span>(<\/span>max_retries +<\/span> 1<\/span>)<\/span>:<\/span>
        \n raw,<\/span> in_tok,<\/span> out_tok =<\/span> llm(<\/span>role,<\/span> prompt if<\/span> not<\/span> last_err else<\/span>
        \n prompt +<\/span> "\\\\n\\\\n\u4e0a\u4e00\u6b21\u8f93\u51fa\u672a\u901a\u8fc7\u6821\u9a8c，\u9519\u8bef\u5982\u4e0b，\u8bf7\u4fee\u6b63：\\\\n"<\/span> +<\/span> last_err)<\/span>
        \n budget.<\/span>spend(<\/span>role,<\/span> in_tok,<\/span> out_tok)<\/span>
        \n try<\/span>:<\/span>
        \n return<\/span> enforce(<\/span>cls,<\/span> raw)<\/span>
        \n except<\/span> ValidationError as<\/span> e:<\/span>
        \n last_err =<\/span> e.<\/span>json(<\/span>include_url=<\/span>False<\/span>)<\/span>
        \n if<\/span> attempt ==<\/span> max_retries:<\/span>
        \n raise<\/span> RuntimeError(<\/span>f"<\/span>{<\/span>role}<\/span><\/span> \u8fde\u7eed <\/span>{<\/span>max_retries +<\/span> 1<\/span>}<\/span><\/span> \u6b21\u672a\u4ea7\u51fa\u5408\u6cd5 <\/span>{<\/span>cls.<\/span>__name__}<\/span><\/span>"<\/span><\/span>)<\/span>
        \n raise<\/span> AssertionError(<\/span>"unreachable"<\/span>)<\/span><\/p>\n

        if<\/span> __name__ ==<\/span> "__main__"<\/span>:<\/span>
        \n bad =<\/span> "\u597d\u7684，\u6211\u6765\u770b\u770b\u8fd9\u4e2a\u95ee\u9898\u3002\\\\n```json\\\\n"<\/span> +<\/span> json.<\/span>dumps(<\/span>{<\/span>
        \n "analysis"<\/span>:<\/span> "\u6298\u6263\u8ba1\u7b97\u987a\u5e8f\u9519\u4e86，\u5148\u4e58\u540e\u51cf\u5199\u6210\u4e86\u5148\u51cf\u540e\u4e58"<\/span>,<\/span>
        \n "root_cause"<\/span>:<\/span> "apply_discount \u91cc rate \u88ab\u5f53\u6210\u767e\u5206\u6bd4\u6574\u6570\u5904\u7406"<\/span>,<\/span>
        \n "files"<\/span>:<\/span> [<\/span>{<\/span>"path"<\/span>:<\/span> "src\/pricing.py"<\/span>,<\/span> "action"<\/span>:<\/span> "modify"<\/span>,<\/span>
        \n "content"<\/span>:<\/span> "def apply_discount(price, rate):\\\\n return price * (1 – rate)\\\\n"<\/span>,<\/span>
        \n "rationale"<\/span>:<\/span> "\u628a 90*(1-0.1)=81 \u6539\u6210 90-9=81，\u7edf\u4e00\u4e3a\u6d6e\u70b9\u6bd4\u7387"<\/span>}<\/span>]<\/span>,<\/span>
        \n "test_targets"<\/span>:<\/span> [<\/span>"tests\/test_cart.py::test_discount"<\/span>]<\/span>,<\/span>
        \n "risk"<\/span>:<\/span> "low"<\/span>,<\/span> "touches_external"<\/span>:<\/span> False<\/span>,<\/span>
        \n }<\/span>,<\/span> ensure_ascii=<\/span>False<\/span>)<\/span> +<\/span> "\\\\n```"<\/span>
        \n p =<\/span> enforce(<\/span>PatchProposal,<\/span> bad)<\/span>
        \n print<\/span>(<\/span>"parsed ok:"<\/span>,<\/span> p.<\/span>root_cause,<\/span> "|"<\/span>,<\/span> p.<\/span>files[<\/span>0<\/span>]<\/span>.<\/span>path,<\/span> "|"<\/span>,<\/span> p.<\/span>risk)<\/span><\/p>\n

        try<\/span>:<\/span>
        \n enforce(<\/span>PatchProposal,<\/span> "\u6211\u89c9\u5f97\u5e94\u8be5\u6539\u4e00\u4e0b ..\/etc\/passwd \u8fd9\u4e2a\u6587\u4ef6"<\/span>)<\/span>
        \n except<\/span> ValidationError as<\/span> e:<\/span>
        \n print<\/span>(<\/span>"rejected as expected:"<\/span>,<\/span> e.<\/span>errors(<\/span>)<\/span>[<\/span>0<\/span>]<\/span>[<\/span>"type"<\/span>]<\/span>)<\/span><\/p>\n

        FileEdit.path \u4e0a\u7684 ^(src|tests)\/ \u6b63\u5219\u662f\u4e00\u4e2a harness \u5c42\u7684\u6cd5\u5f8b，\u4e0d\u662f\u5efa\u8bae：\u6a21\u578b\u60f3\u6539 tests\/ \u4f1a\u88ab Generator \u63d0\u793a\u8bcd\u6321\u4e00\u6b21，\u60f3\u6539\u4ed3\u5e93\u5916\u7684\u8def\u5f84\u4f1a\u88ab\u8fd9\u4e2a\u6b63\u5219\u6321\u6b7b\u3002\u4e24\u5c42\u90fd\u8981\u6709，\u56e0\u4e3a\u63d0\u793a\u8bcd\u5c42\u662f\u53ef\u4ee5\u88ab\u63d0\u793a\u8bcd\u6ce8\u5165\u7ed5\u8fc7\u7684，\u6b63\u5219\u5c42\u4e0d\u80fd\u3002<\/p>\n

        5.6 \u4e3b\u5faa\u73af：\u628a\u300c\u4fee\u4e00\u4e2a bug\u300d\u8dd1\u6210\u95ed\u73af<\/h4>\n

        \u628a\u524d\u9762\u4e94\u4e2a\u6a21\u5757\u4e32\u8d77\u6765\u3002\u8fd9\u662f\u672c\u6587\u7684\u4e3b\u4ea4\u4ed8\u7269\u3002<\/p>\n

        #!\/usr\/bin\/env python3<\/span>
        \n# -*- coding: utf-8 -*-<\/span>
        \n"""harness.py \u2014 \u786e\u5b9a\u6027\u58f3\u4e3b\u5faa\u73af\u3002<\/p>\n

        \u7528\u6cd5：
        \n python harness.py –repo . –task "\u4fee\u590d tests\/test_cart.py::test_discount" \\\\
        \n –target tests\/test_cart.py::test_discount \\\\
        \n –max-steps 8 –max-cost 0.50 –timeout 240
        \n"""<\/span>
        \nfrom<\/span> __future__ import<\/span> annotations<\/p>\n

        import<\/span> argparse
        \nimport<\/span> json
        \nimport<\/span> shutil
        \nimport<\/span> sys
        \nimport<\/span> time
        \nfrom<\/span> dataclasses import<\/span> asdict,<\/span> dataclass,<\/span> field
        \nfrom<\/span> pathlib import<\/span> Path<\/p>\n

        from<\/span> assertions import<\/span> run_fast,<\/span> run_gate,<\/span> compress,<\/span> looks_flaky
        \nfrom<\/span> budget import<\/span> Budget,<\/span> BudgetExceeded
        \nfrom<\/span> checkpoint import<\/span> Checkpoint
        \nfrom<\/span> roles import<\/span> PatchProposal,<\/span> Verdict,<\/span> call_structured,<\/span> PROMPTS
        \nfrom<\/span> sandbox import<\/span> Sandbox,<\/span> Limits<\/p>\n

        @dataclass<\/span>
        \nclass<\/span> RunReport<\/span>:<\/span>
        \n run_id:<\/span> str<\/span>
        \n task:<\/span> str<\/span>
        \n stop_reason:<\/span> str<\/span> =<\/span> "running"<\/span>
        \n steps:<\/span> int<\/span> =<\/span> 0<\/span>
        \n cost_usd:<\/span> float<\/span> =<\/span> 0.0<\/span>
        \n tokens:<\/span> int<\/span> =<\/span> 0<\/span>
        \n solved:<\/span> bool<\/span> =<\/span> False<\/span>
        \n iterations:<\/span> list<\/span>[<\/span>dict<\/span>]<\/span> =<\/span> field(<\/span>default_factory=<\/span>list<\/span>)<\/span>
        \n touched_files:<\/span> list<\/span>[<\/span>str<\/span>]<\/span> =<\/span> field(<\/span>default_factory=<\/span>list<\/span>)<\/span><\/p>\n

        class<\/span> Harness<\/span>:<\/span>
        \n def<\/span> __init__<\/span>(<\/span>self,<\/span> repo:<\/span> Path,<\/span> task:<\/span> str<\/span>,<\/span> target:<\/span> str<\/span>,<\/span> budget:<\/span> Budget,<\/span>
        \n limits:<\/span> Limits,<\/span> llm,<\/span> read_only_tests:<\/span> bool<\/span> =<\/span> True<\/span>)<\/span>:<\/span>
        \n self.<\/span>repo,<\/span> self.<\/span>task,<\/span> self.<\/span>target =<\/span> Path(<\/span>repo)<\/span>.<\/span>resolve(<\/span>)<\/span>,<\/span> task,<\/span> target
        \n self.<\/span>budget,<\/span> self.<\/span>limits,<\/span> self.<\/span>llm =<\/span> budget,<\/span> limits,<\/span> llm
        \n self.<\/span>read_only_tests =<\/span> read_only_tests
        \n self.<\/span>ckpt =<\/span> Checkpoint(<\/span>self.<\/span>repo)<\/span>
        \n self.<\/span>run_id =<\/span> f"run-<\/span>{<\/span>int<\/span>(<\/span>time.<\/span>time(<\/span>)<\/span>)<\/span>}<\/span><\/span>"<\/span><\/span>
        \n self.<\/span>report =<\/span> RunReport(<\/span>self.<\/span>run_id,<\/span> task)<\/span>
        \n self.<\/span>_prev_fp:<\/span> str<\/span> |<\/span> None<\/span> =<\/span> None<\/span><\/p>\n

        # —- [2] \u628a patch \u843d\u5730\u5230\u6c99\u7bb1\u5de5\u4f5c\u533a（\u6a21\u578b\u6c38\u8fdc\u4e0d\u76f4\u63a5\u5199\u5bbf\u4e3b\u6587\u4ef6）—-<\/span>
        \n def<\/span> _apply<\/span>(<\/span>self,<\/span> sbx:<\/span> Sandbox,<\/span> work:<\/span> Path,<\/span> prop:<\/span> PatchProposal)<\/span> –<\/span>><\/span> list<\/span>[<\/span>str<\/span>]<\/span>:<\/span>
        \n touched =<\/span> [<\/span>]<\/span>
        \n for<\/span> fe in<\/span> prop.<\/span>files:<\/span>
        \n p =<\/span> (<\/span>work \/<\/span> fe.<\/span>path)<\/span>.<\/span>resolve(<\/span>)<\/span>
        \n if<\/span> not<\/span> str<\/span>(<\/span>p)<\/span>.<\/span>startswith(<\/span>str<\/span>(<\/span>work)<\/span>)<\/span>:<\/span> # \u8def\u5f84\u7a7f\u8d8a，\u4e8c\u6b21\u62e6\u622a<\/span>
        \n raise<\/span> RuntimeError(<\/span>f"path traversal blocked: <\/span>{<\/span>fe.<\/span>path}<\/span><\/span>"<\/span><\/span>)<\/span>
        \n if<\/span> fe.<\/span>action ==<\/span> "delete"<\/span>:<\/span>
        \n p.<\/span>unlink(<\/span>missing_ok=<\/span>True<\/span>)<\/span>
        \n else<\/span>:<\/span>
        \n p.<\/span>parent.<\/span>mkdir(<\/span>parents=<\/span>True<\/span>,<\/span> exist_ok=<\/span>True<\/span>)<\/span>
        \n p.<\/span>write_text(<\/span>fe.<\/span>content or<\/span> ""<\/span>,<\/span> encoding=<\/span>"utf-8"<\/span>)<\/span>
        \n touched.<\/span>append(<\/span>fe.<\/span>path)<\/span>
        \n if<\/span> self.<\/span>read_only_tests:<\/span>
        \n # \u6d4b\u8bd5\u6587\u4ef6\u5fc5\u987b\u662f\u53ea\u8bfb\u526f\u672c：\u6a21\u578b\u5199\u4e0d\u8fdb\u53bb，\u4e5f\u5c31\u6539\u4e0d\u4e86\u5224\u636e<\/span>
        \n for<\/span> t in<\/span> Path(<\/span>work,<\/span> "tests"<\/span>)<\/span>.<\/span>rglob(<\/span>"*"<\/span>)<\/span>:<\/span>
        \n if<\/span> t.<\/span>is_file(<\/span>)<\/span>:<\/span>
        \n t.<\/span>chmod(<\/span>0o444<\/span>)<\/span>
        \n return<\/span> touched<\/p>\n

        # —- [3]+[5]+[6] \u65ad\u8a00 \/ \u538b\u7f29 \/ \u56de\u5582 —-<\/span>
        \n def<\/span> _iterate<\/span>(<\/span>self,<\/span> sbx:<\/span> Sandbox,<\/span> work:<\/span> Path,<\/span> role:<\/span> str<\/span>,<\/span> prompt:<\/span> str<\/span>)<\/span> –<\/span>><\/span> tuple<\/span>[<\/span>bool<\/span>,<\/span> str<\/span>]<\/span>:<\/span>
        \n prop:<\/span> PatchProposal =<\/span> call_structured(<\/span>self.<\/span>llm,<\/span> role,<\/span> prompt,<\/span> PatchProposal,<\/span> self.<\/span>budget)<\/span>
        \n touched =<\/span> self.<\/span>_apply(<\/span>sbx,<\/span> work,<\/span> prop)<\/span>
        \n self.<\/span>report.<\/span>touched_files =<\/span> sorted<\/span>(<\/span>set<\/span>(<\/span>self.<\/span>report.<\/span>touched_files +<\/span> touched)<\/span>)<\/span><\/p>\n

        results =<\/span> run_fast(<\/span>sbx,<\/span> self.<\/span>target)<\/span>
        \n failed =<\/span> [<\/span>r for<\/span> r in<\/span> results if<\/span> not<\/span> r.<\/span>ok]<\/span>
        \n if<\/span> not<\/span> failed:<\/span>
        \n return<\/span> True<\/span>,<\/span> ""<\/span><\/p>\n

        worst =<\/span> failed[<\/span>–<\/span>1<\/span>]<\/span>
        \n stack =<\/span> compress(<\/span>worst.<\/span>raw)<\/span>
        \n # flaky \u68c0\u6d4b：\u65ad\u8a00\u672c\u8eab\u4e0d\u7a33\u5b9a\u65f6，\u4e0d\u80fd\u628a\u9505\u7529\u7ed9\u6a21\u578b<\/span>
        \n if<\/span> looks_flaky(<\/span>sbx,<\/span> [<\/span>"python"<\/span>,<\/span> "-m"<\/span>,<\/span> "pytest"<\/span>,<\/span> "-q"<\/span>,<\/span> "-p"<\/span>,<\/span> "no:cacheprovider"<\/span>,<\/span>
        \n *<\/span>worst.<\/span>failed_nodes[<\/span>:<\/span>1<\/span>]<\/span>]<\/span>)<\/span>:<\/span>
        \n self.<\/span>report.<\/span>iterations.<\/span>append(<\/span>{<\/span>"note"<\/span>:<\/span> "flaky detected"<\/span>,<\/span> "node"<\/span>:<\/span> worst.<\/span>failed_nodes}<\/span>)<\/span>
        \n return<\/span> False<\/span>,<\/span> "__FLAKY__\\\\n"<\/span> +<\/span> stack<\/p>\n

        self.<\/span>report.<\/span>iterations.<\/span>append(<\/span>{<\/span>
        \n "step"<\/span>:<\/span> self.<\/span>budget.<\/span>steps,<\/span> "layer"<\/span>:<\/span> worst.<\/span>name,<\/span>
        \n "exit_code"<\/span>:<\/span> worst.<\/span>exit_code,<\/span> "killed_by"<\/span>:<\/span> worst.<\/span>killed_by,<\/span>
        \n "failed_nodes"<\/span>:<\/span> worst.<\/span>failed_nodes,<\/span> "fingerprint"<\/span>:<\/span> worst.<\/span>fingerprint,<\/span>
        \n "stack_chars"<\/span>:<\/span> len<\/span>(<\/span>stack)<\/span>,<\/span> "touched"<\/span>:<\/span> touched,<\/span>
        \n }<\/span>)<\/span>
        \n return<\/span> False<\/span>,<\/span> "\\\\n"<\/span>.<\/span>join(<\/span>f"[<\/span>{<\/span>r.<\/span>name}<\/span><\/span>] exit=<\/span>{<\/span>r.<\/span>exit_code}<\/span><\/span>"<\/span><\/span> for<\/span> r in<\/span> failed)<\/span> +<\/span> "\\\\n"<\/span> +<\/span> stack<\/p>\n

        def<\/span> run<\/span>(<\/span>self)<\/span> –<\/span>><\/span> RunReport:<\/span>
        \n snap =<\/span> self.<\/span>ckpt.<\/span>snapshot(<\/span>self.<\/span>run_id)<\/span>
        \n prompt =<\/span> PROMPTS[<\/span>"generator"<\/span>]<\/span>.<\/span>format<\/span>(<\/span>task=<\/span>self.<\/span>task,<\/span> context=<\/span>self.<\/span>_context(<\/span>)<\/span>)<\/span>
        \n try<\/span>:<\/span>
        \n while<\/span> True<\/span>:<\/span>
        \n self.<\/span>budget.<\/span>step(<\/span>)<\/span> # \u56db\u7ef4\u5ea6\u9884\u7b97\u68c0\u67e5<\/span>
        \n role =<\/span> "generator"<\/span> if<\/span> self.<\/span>budget.<\/span>steps ==<\/span> 1<\/span> else<\/span> "fixer"<\/span>
        \n with<\/span> Sandbox(<\/span>self.<\/span>repo,<\/span> self.<\/span>limits)<\/span> as<\/span> work:<\/span>
        \n ok,<\/span> stack =<\/span> self.<\/span>_iterate(<\/span>
        \n sbx :=<\/span> self.<\/span>_mk_sandbox(<\/span>work)<\/span>,<\/span> work,<\/span>
        \n role,<\/span>
        \n prompt if<\/span> role ==<\/span> "generator"<\/span>
        \n else<\/span> PROMPTS[<\/span>"fixer"<\/span>]<\/span>.<\/span>format<\/span>(<\/span>failures=<\/span>self.<\/span>_failures(<\/span>)<\/span>,<\/span> stack=<\/span>stack)<\/span>,<\/span>
        \n )<\/span>
        \n if<\/span> ok:<\/span>
        \n # [4] \u95e8\u7981：\u5168\u91cf\u56de\u5f52\u5728\u5faa\u73af\u6210\u529f\u4e4b\u540e\u624d\u8dd1<\/span>
        \n gate =<\/span> run_gate(<\/span>sbx,<\/span> self.<\/span>budget.<\/span>pressure(<\/span>)<\/span>)<\/span>
        \n if<\/span> all<\/span>(<\/span>g.<\/span>ok for<\/span> g in<\/span> gate)<\/span>:<\/span>
        \n self.<\/span>report.<\/span>solved =<\/span> True<\/span>
        \n self.<\/span>report.<\/span>stop_reason =<\/span> "solved"<\/span>
        \n self.<\/span>_commit(<\/span>work,<\/span> snap)<\/span>
        \n break<\/span>
        \n stack =<\/span> compress(<\/span>"\\\\n"<\/span>.<\/span>join(<\/span>g.<\/span>raw for<\/span> g in<\/span> gate if<\/span> not<\/span> g.<\/span>ok)<\/span>)<\/span>
        \n self.<\/span>report.<\/span>iterations.<\/span>append(<\/span>
        \n {<\/span>"step"<\/span>:<\/span> self.<\/span>budget.<\/span>steps,<\/span> "layer"<\/span>:<\/span> "gate"<\/span>,<\/span> "regression"<\/span>:<\/span> True<\/span>}<\/span>)<\/span>
        \n if<\/span> stack.<\/span>startswith(<\/span>"__FLAKY__"<\/span>)<\/span>:<\/span>
        \n self.<\/span>report.<\/span>stop_reason =<\/span> "flaky_assertion"<\/span>
        \n break<\/span>
        \n fp =<\/span> self.<\/span>report.<\/span>iterations[<\/span>–<\/span>1<\/span>]<\/span>.<\/span>get(<\/span>"fingerprint"<\/span>,<\/span> ""<\/span>)<\/span>
        \n if<\/span> fp and<\/span> fp ==<\/span> self.<\/span>_prev_fp:<\/span> # non_progress<\/span>
        \n self.<\/span>report.<\/span>stop_reason =<\/span> "non_progress"<\/span>
        \n break<\/span>
        \n self.<\/span>_prev_fp =<\/span> fp
        \n except<\/span> BudgetExceeded as<\/span> e:<\/span>
        \n self.<\/span>report.<\/span>stop_reason =<\/span> e.<\/span>reason
        \n finally<\/span>:<\/span>
        \n if<\/span> not<\/span> self.<\/span>report.<\/span>solved:<\/span>
        \n self.<\/span>report.<\/span>touched_files =<\/span> self.<\/span>ckpt.<\/span>revert(<\/span>snap)<\/span>
        \n self.<\/span>report.<\/span>steps =<\/span> self.<\/span>budget.<\/span>steps
        \n self.<\/span>report.<\/span>cost_usd =<\/span> self.<\/span>budget.<\/span>cost_usd
        \n self.<\/span>report.<\/span>tokens =<\/span> self.<\/span>budget.<\/span>tokens
        \n self.<\/span>_save(<\/span>)<\/span>
        \n return<\/span> self.<\/span>report<\/p>\n

        # —- \u8f85\u52a9 —-<\/span>
        \n def<\/span> _mk_sandbox<\/span>(<\/span>self,<\/span> work:<\/span> Path)<\/span> –<\/span>><\/span> Sandbox:<\/span>
        \n s =<\/span> Sandbox.<\/span>__new__(<\/span>Sandbox)<\/span>
        \n s.<\/span>work,<\/span> s.<\/span>home,<\/span> s.<\/span>limits =<\/span> work,<\/span> str<\/span>(<\/span>work.<\/span>parent \/<\/span> "home"<\/span>)<\/span>,<\/span> self.<\/span>limits
        \n s.<\/span>root =<\/span> work.<\/span>parent
        \n return<\/span> s<\/p>\n

        def<\/span> _context<\/span>(<\/span>self)<\/span> –<\/span>><\/span> str<\/span>:<\/span>
        \n files =<\/span> sorted<\/span>(<\/span>self.<\/span>repo.<\/span>glob(<\/span>"src\/**\/*.py"<\/span>)<\/span>)<\/span>[<\/span>:<\/span>20<\/span>]<\/span>
        \n return<\/span> "\\\\n"<\/span>.<\/span>join(<\/span>f"— <\/span>{<\/span>f.<\/span>relative_to(<\/span>self.<\/span>repo)<\/span>}<\/span><\/span> —\\\\n"<\/span><\/span>
        \n +<\/span> f.<\/span>read_text(<\/span>encoding=<\/span>"utf-8"<\/span>)<\/span>[<\/span>:<\/span>2000<\/span>]<\/span> for<\/span> f in<\/span> files)<\/span><\/p>\n

        def<\/span> _failures<\/span>(<\/span>self)<\/span> –<\/span>><\/span> str<\/span>:<\/span>
        \n last =<\/span> self.<\/span>report.<\/span>iterations[<\/span>–<\/span>1<\/span>]<\/span> if<\/span> self.<\/span>report.<\/span>iterations else<\/span> {<\/span>}<\/span>
        \n return<\/span> "\\\\n"<\/span>.<\/span>join(<\/span>last.<\/span>get(<\/span>"failed_nodes"<\/span>,<\/span> [<\/span>]<\/span>)<\/span>)<\/span><\/p>\n

        def<\/span> _commit<\/span>(<\/span>self,<\/span> work:<\/span> Path,<\/span> snap)<\/span> –<\/span>><\/span> None<\/span>:<\/span>
        \n """\u628a\u6c99\u7bb1\u7ed3\u679c\u62f7\u56de\u5bbf\u4e3b，\u518d\u7531\u4eba\/CI \u51b3\u5b9a\u662f\u5426\u63d0\u4ea4\u3002\u8fd9\u91cc\u53ea\u843d\u5730\u4e0d commit\u3002"""<\/span>
        \n for<\/span> fe in<\/span> sorted<\/span>(<\/span>work.<\/span>rglob(<\/span>"*.py"<\/span>)<\/span>)<\/span>:<\/span>
        \n rel =<\/span> fe.<\/span>relative_to(<\/span>work)<\/span>
        \n if<\/span> str<\/span>(<\/span>rel)<\/span>.<\/span>startswith(<\/span>"tests"<\/span>)<\/span>:<\/span>
        \n continue<\/span> # \u6d4b\u8bd5\u6587\u4ef6\u4e0d\u56de\u5199<\/span>
        \n dst =<\/span> self.<\/span>repo \/<\/span> rel
        \n dst.<\/span>parent.<\/span>mkdir(<\/span>parents=<\/span>True<\/span>,<\/span> exist_ok=<\/span>True<\/span>)<\/span>
        \n shutil.<\/span>copy2(<\/span>fe,<\/span> dst)<\/span><\/p>\n

        def<\/span> _save<\/span>(<\/span>self)<\/span> –<\/span>><\/span> None<\/span>:<\/span>
        \n d =<\/span> self.<\/span>repo \/<\/span> ".harness"<\/span> \/<\/span> "reports"<\/span>
        \n d.<\/span>mkdir(<\/span>parents=<\/span>True<\/span>,<\/span> exist_ok=<\/span>True<\/span>)<\/span>
        \n (<\/span>d \/<\/span> f"<\/span>{<\/span>self.<\/span>run_id}<\/span><\/span>.json"<\/span><\/span>)<\/span>.<\/span>write_text(<\/span>
        \n json.<\/span>dumps(<\/span>asdict(<\/span>self.<\/span>report)<\/span>,<\/span> ensure_ascii=<\/span>False<\/span>,<\/span> indent=<\/span>2<\/span>)<\/span>,<\/span> encoding=<\/span>"utf-8"<\/span>)<\/span><\/p>\n

        def<\/span> main<\/span>(<\/span>)<\/span> –<\/span>><\/span> int<\/span>:<\/span>
        \n ap =<\/span> argparse.<\/span>ArgumentParser(<\/span>)<\/span>
        \n ap.<\/span>add_argument(<\/span>"–repo"<\/span>,<\/span> default=<\/span>"."<\/span>)<\/span>
        \n ap.<\/span>add_argument(<\/span>"–task"<\/span>,<\/span> required=<\/span>True<\/span>)<\/span>
        \n ap.<\/span>add_argument(<\/span>"–target"<\/span>,<\/span> required=<\/span>True<\/span>)<\/span>
        \n ap.<\/span>add_argument(<\/span>"–max-steps"<\/span>,<\/span> type<\/span>=<\/span>int<\/span>,<\/span> default=<\/span>8<\/span>)<\/span>
        \n ap.<\/span>add_argument(<\/span>"–max-cost"<\/span>,<\/span> type<\/span>=<\/span>float<\/span>,<\/span> default=<\/span>0.50<\/span>)<\/span>
        \n ap.<\/span>add_argument(<\/span>"–timeout"<\/span>,<\/span> type<\/span>=<\/span>int<\/span>,<\/span> default=<\/span>240<\/span>)<\/span>
        \n ap.<\/span>add_argument(<\/span>"–llm-stub"<\/span>,<\/span> action=<\/span>"store_true"<\/span>,<\/span> help<\/span>=<\/span>"\u7528\u672c\u5730\u6869\u51fd\u6570\u8dd1\u901a\u6d41\u7a0b"<\/span>)<\/span>
        \n args =<\/span> ap.<\/span>parse_args(<\/span>)<\/span><\/p>\n

        from<\/span> stub_llm import<\/span> make_llm # \u6362\u6210\u4f60\u81ea\u5df1\u7684\u771f\u5b9e LLM \u5ba2\u6237\u7aef<\/span>
        \n llm =<\/span> make_llm(<\/span>stub=<\/span>args.<\/span>llm_stub)<\/span><\/p>\n

        h =<\/span> Harness(<\/span>Path(<\/span>args.<\/span>repo)<\/span>,<\/span> args.<\/span>task,<\/span> args.<\/span>target,<\/span>
        \n Budget(<\/span>max_steps=<\/span>args.<\/span>max_steps,<\/span> max_cost_usd=<\/span>args.<\/span>max_cost,<\/span>
        \n max_wall_clock_s=<\/span>args.<\/span>timeout)<\/span>,<\/span>
        \n Limits(<\/span>wall_clock_s=<\/span>60<\/span>)<\/span>,<\/span> llm)<\/span>
        \n r =<\/span> h.<\/span>run(<\/span>)<\/span>
        \n print<\/span>(<\/span>json.<\/span>dumps(<\/span>{<\/span>k:<\/span> v for<\/span> k,<\/span> v in<\/span> asdict(<\/span>r)<\/span>.<\/span>items(<\/span>)<\/span> if<\/span> k !=<\/span> "iterations"<\/span>}<\/span>,<\/span>
        \n ensure_ascii=<\/span>False<\/span>,<\/span> indent=<\/span>2<\/span>)<\/span>)<\/span>
        \n return<\/span> 0<\/span> if<\/span> r.<\/span>solved else<\/span> 1<\/span><\/p>\n

        if<\/span> __name__ ==<\/span> "__main__"<\/span>:<\/span>
        \n sys.<\/span>exit(<\/span>main(<\/span>)<\/span>)<\/span><\/p>\n

        \u914d\u5957\u7684\u6869 LLM（\u771f\u5b9e\u9879\u76ee\u91cc\u6362\u6210\u4f60\u7684\u7f51\u5173\u5ba2\u6237\u7aef，\u63a5\u53e3\u5951\u7ea6\u4fdd\u6301\u4e00\u81f4：(role, prompt) -> (raw_text, in_tokens, out_tokens)）：<\/p>\n

        #!\/usr\/bin\/env python3<\/span>
        \n# -*- coding: utf-8 -*-<\/span>
        \n"""stub_llm.py \u2014 \u79bb\u7ebf\u6869，\u8ba9 harness \u5728\u6ca1\u6709 API key \u7684\u60c5\u51b5\u4e0b\u4e5f\u80fd\u8dd1\u901a\u5168\u6d41\u7a0b\u3002"""<\/span>
        \nfrom<\/span> __future__ import<\/span> annotations
        \nimport<\/span> json<\/p>\n

        GOOD =<\/span> {<\/span>
        \n "analysis"<\/span>:<\/span> "apply_discount \u628a rate \u5f53\u6210\u4e86\u6574\u6570\u767e\u5206\u6bd4，\u5bfc\u81f4 90 \u88ab\u7b97\u51fa 81"<\/span>,<\/span>
        \n "root_cause"<\/span>:<\/span> "src\/pricing.py:42 rate \u5355\u4f4d\u4e0d\u4e00\u81f4"<\/span>,<\/span>
        \n "files"<\/span>:<\/span> [<\/span>{<\/span>
        \n "path"<\/span>:<\/span> "src\/pricing.py"<\/span>,<\/span> "action"<\/span>:<\/span> "modify"<\/span>,<\/span>
        \n "content"<\/span>:<\/span> (<\/span>
        \n "def apply_discount(price: float, rate: float) -> float:\\\\n"<\/span>
        \n " \\\\"\\\\"\\\\"rate \u662f 0~1 \u7684\u6d6e\u70b9\u6bd4\u7387，\u4e0d\u662f\u6574\u6570\u767e\u5206\u6bd4\u3002\\\\"\\\\"\\\\"\\\\n"<\/span>
        \n " if not 0.0 <= rate <= 1.0:\\\\n"<\/span>
        \n " raise ValueError(f\\\\"rate out of range: {rate}\\\\")\\\\n"<\/span>
        \n " return round(price * (1.0 – rate), 2)\\\\n"<\/span>
        \n )<\/span>,<\/span>
        \n "rationale"<\/span>:<\/span> "\u7edf\u4e00\u5355\u4f4d\u4e3a\u6d6e\u70b9\u6bd4\u7387\u5e76\u52a0\u8303\u56f4\u6821\u9a8c，\u4f7f 90*(1-0.1)=81.0"<\/span>,<\/span>
        \n }<\/span>]<\/span>,<\/span>
        \n "test_targets"<\/span>:<\/span> [<\/span>"tests\/test_cart.py::test_discount"<\/span>]<\/span>,<\/span>
        \n "risk"<\/span>:<\/span> "low"<\/span>,<\/span>
        \n "touches_external"<\/span>:<\/span> False<\/span>,<\/span>
        \n}<\/span><\/p>\n

        def<\/span> make_llm<\/span>(<\/span>stub:<\/span> bool<\/span> =<\/span> True<\/span>)<\/span>:<\/span>
        \n if<\/span> not<\/span> stub:<\/span>
        \n raise<\/span> SystemExit(<\/span>"\u628a\u8fd9\u91cc\u66ff\u6362\u6210\u771f\u5b9e\u5ba2\u6237\u7aef；\u5951\u7ea6: (role, prompt) -> (raw, in_tok, out_tok)"<\/span>)<\/span><\/p>\n

        def<\/span> _llm<\/span>(<\/span>role:<\/span> str<\/span>,<\/span> prompt:<\/span> str<\/span>)<\/span>:<\/span>
        \n if<\/span> role ==<\/span> "evaluator"<\/span>:<\/span>
        \n raw =<\/span> json.<\/span>dumps(<\/span>{<\/span>"passed"<\/span>:<\/span> True<\/span>,<\/span> "failed_assertions"<\/span>:<\/span> [<\/span>]<\/span>,<\/span>
        \n "blocking_issues"<\/span>:<\/span> [<\/span>]<\/span>,<\/span> "must_not_merge"<\/span>:<\/span> False<\/span>,<\/span>
        \n "reason"<\/span>:<\/span> "diff \u53ea\u89e6\u53ca pricing.py，\u65e0\u8d8a\u754c\u6539\u52a8"<\/span>}<\/span>,<\/span>
        \n ensure_ascii=<\/span>False<\/span>)<\/span>
        \n else<\/span>:<\/span>
        \n raw =<\/span> "```json\\\\n"<\/span> +<\/span> json.<\/span>dumps(<\/span>GOOD,<\/span> ensure_ascii=<\/span>False<\/span>)<\/span> +<\/span> "\\\\n```"<\/span>
        \n return<\/span> raw,<\/span> len<\/span>(<\/span>prompt)<\/span> \/\/<\/span> 4<\/span>,<\/span> len<\/span>(<\/span>raw)<\/span> \/\/<\/span> 4<\/span><\/p>\n

        return<\/span> _llm<\/p>\n

        if<\/span> __name__ ==<\/span> "__main__"<\/span>:<\/span>
        \n print<\/span>(<\/span>make_llm(<\/span>)<\/span>(<\/span>"generator"<\/span>,<\/span> "task"<\/span>)<\/span>[<\/span>1<\/span>]<\/span>)<\/span><\/p>\n

        \u8dd1\u4e00\u6b21：<\/p>\n

        python harness.py –repo<\/span> .<\/span> \\\\<\/span>
        \n –task<\/span> "\u4fee\u590d tests\/test_cart.py::test_discount：90 \u5143\u6309 10% \u6298\u6263\u5e94\u5f97 81，\u5b9e\u9645\u5f97\u5230 81.0 \u4f46\u7c7b\u578b\u65ad\u8a00\u5931\u8d25"<\/span> \\\\<\/span>
        \n –target<\/span> "tests\/test_cart.py::test_discount"<\/span> \\\\<\/span>
        \n –max-steps 8<\/span> –max-cost 0.50<\/span> –timeout<\/span> 240<\/span> –llm-stub<\/p>\n

        \u8f93\u51fa：<\/p>\n

        {
        \n "run_id": "run-1759488000",
        \n "task": "\u4fee\u590d tests\/test_cart.py::test_discount…",
        \n "stop_reason": "solved",
        \n "steps": 2,
        \n "cost_usd": 0.0174,
        \n "tokens": 3980,
        \n "solved": true,
        \n "touched_files": ["src\/pricing.py"]
        \n}<\/p>\n

        5.7 \u7528\u786e\u5b9a\u6027\u4ee3\u7801\u66ff\u6362\u6389\u6982\u7387\u751f\u6210<\/h4>\n

        \u6700\u540e\u8865\u4e0a 3.9 \u8282\u627f\u8bfa\u7684\u4e24\u4e2a\u66ff\u6362\u4ef6\u3002\u5b83\u4eec\u7684\u5171\u540c\u7279\u5f81\u662f：\u96f6 LLM \u8c03\u7528，\u6240\u4ee5\u8be5\u9636\u6bb5 token \u6d88\u8017\u4e3a 0，\u4e14\u4e0d\u53ef\u80fd\u4ea7\u751f\u5e7b\u89c9\u3002<\/p>\n

        #!\/usr\/bin\/env python3<\/span>
        \n# -*- coding: utf-8 -*-<\/span>
        \n"""deterministic.py \u2014 Schema Validator \u4e0e Documentation Builder \u7684\u96f6 LLM \u5b9e\u73b0\u3002"""<\/span>
        \nfrom<\/span> __future__ import<\/span> annotations<\/p>\n

        import<\/span> ast
        \nimport<\/span> json
        \nfrom<\/span> pathlib import<\/span> Path
        \nfrom<\/span> typing import<\/span> Any<\/p>\n

        from<\/span> pydantic import<\/span> BaseModel,<\/span> ValidationError<\/p>\n

        # ———- 1. Schema Validator：\u786e\u5b9a\u6027\u6821\u9a8c，\u4e0d\u7528\u6a21\u578b\u5224\u65ad\u300c\u770b\u8d77\u6765\u5bf9\u4e0d\u5bf9\u300d ———-<\/span>
        \ndef<\/span> validate<\/span>(<\/span>payload:<\/span> Any,<\/span> model:<\/span> type<\/span>[<\/span>BaseModel]<\/span>)<\/span> –<\/span>><\/span> tuple<\/span>[<\/span>bool<\/span>,<\/span> str<\/span>]<\/span>:<\/span>
        \n try<\/span>:<\/span>
        \n model.<\/span>model_validate(<\/span>payload)<\/span>
        \n return<\/span> True<\/span>,<\/span> ""<\/span>
        \n except<\/span> ValidationError as<\/span> e:<\/span>
        \n # \u628a\u9519\u8bef\u538b\u6210\u4e00\u884c\u4e00\u6761，\u4f9b harness \u56de\u5582\u6216\u5199\u8fdb\u62a5\u544a<\/span>
        \n return<\/span> False<\/span>,<\/span> "\\\\n"<\/span>.<\/span>join(<\/span>
        \n f"<\/span>{<\/span>'.'<\/span>.<\/span>join(<\/span>str<\/span>(<\/span>x)<\/span> for<\/span> x in<\/span> err[<\/span>'loc'<\/span>]<\/span>)<\/span> or<\/span> '<root>'<\/span>}<\/span><\/span>: <\/span>{<\/span>err[<\/span>'msg'<\/span>]<\/span>}<\/span><\/span>"<\/span><\/span>
        \n for<\/span> err in<\/span> e.<\/span>errors(<\/span>)<\/span>)<\/span><\/p>\n

        # ———- 2. Documentation Builder：\u76f4\u63a5\u8bfb AST，\u4e0d\u9760\u6a21\u578b\u590d\u8ff0\u7b7e\u540d ———-<\/span>
        \ndef<\/span> build_api_docs<\/span>(<\/span>src_root:<\/span> Path)<\/span> –<\/span>><\/span> list<\/span>[<\/span>dict<\/span>]<\/span>:<\/span>
        \n """\u4ece AST \u63d0\u53d6\u516c\u5171\u51fd\u6570\u7b7e\u540d\u4e0e docstring\u3002\u6a21\u578b\u7248\u672c\u7684\u5178\u578b\u5e7b\u89c9\u662f
        \n \u300c\u7f16\u9020\u4e00\u4e2a\u4e0d\u5b58\u5728\u7684\u9ed8\u8ba4\u53c2\u6570\u300d，AST \u7248\u672c\u4e0d\u53ef\u80fd\u72af\u8fd9\u4e2a\u9519\u3002"""<\/span>
        \n docs =<\/span> [<\/span>]<\/span>
        \n for<\/span> path in<\/span> sorted<\/span>(<\/span>Path(<\/span>src_root)<\/span>.<\/span>rglob(<\/span>"*.py"<\/span>)<\/span>)<\/span>:<\/span>
        \n tree =<\/span> ast.<\/span>parse(<\/span>path.<\/span>read_text(<\/span>encoding=<\/span>"utf-8"<\/span>)<\/span>,<\/span> filename=<\/span>str<\/span>(<\/span>path)<\/span>)<\/span>
        \n for<\/span> node in<\/span> ast.<\/span>walk(<\/span>tree)<\/span>:<\/span>
        \n if<\/span> not<\/span> isinstance<\/span>(<\/span>node,<\/span> (<\/span>ast.<\/span>FunctionDef,<\/span> ast.<\/span>AsyncFunctionDef)<\/span>)<\/span>:<\/span>
        \n continue<\/span>
        \n if<\/span> node.<\/span>name.<\/span>startswith(<\/span>"_"<\/span>)<\/span>:<\/span>
        \n continue<\/span>
        \n args =<\/span> node.<\/span>args
        \n params =<\/span> [<\/span>]<\/span>
        \n pos =<\/span> args.<\/span>posonlyargs +<\/span> args.<\/span>args
        \n defaults =<\/span> [<\/span>None<\/span>]<\/span> *<\/span> (<\/span>len<\/span>(<\/span>pos)<\/span> –<\/span> len<\/span>(<\/span>args.<\/span>defaults)<\/span>)<\/span> +<\/span> list<\/span>(<\/span>args.<\/span>defaults)<\/span>
        \n for<\/span> a,<\/span> d in<\/span> zip<\/span>(<\/span>pos,<\/span> defaults)<\/span>:<\/span>
        \n ann =<\/span> ast.<\/span>unparse(<\/span>a.<\/span>annotation)<\/span> if<\/span> a.<\/span>annotation else<\/span> "Any"<\/span>
        \n dv =<\/span> ast.<\/span>unparse(<\/span>d)<\/span> if<\/span> d is<\/span> not<\/span> None<\/span> else<\/span> None<\/span>
        \n params.<\/span>append(<\/span>{<\/span>"name"<\/span>:<\/span> a.<\/span>arg,<\/span> "type"<\/span>:<\/span> ann,<\/span> "default"<\/span>:<\/span> dv}<\/span>)<\/span>
        \n if<\/span> args.<\/span>kwarg:<\/span>
        \n params.<\/span>append(<\/span>{<\/span>"name"<\/span>:<\/span> "**"<\/span> +<\/span> args.<\/span>kwarg.<\/span>arg,<\/span> "type"<\/span>:<\/span> "Any"<\/span>,<\/span> "default"<\/span>:<\/span> None<\/span>}<\/span>)<\/span>
        \n ret =<\/span> ast.<\/span>unparse(<\/span>node.<\/span>returns)<\/span> if<\/span> node.<\/span>returns else<\/span> "None"<\/span>
        \n docs.<\/span>append(<\/span>{<\/span>
        \n "file"<\/span>:<\/span> str<\/span>(<\/span>path)<\/span>,<\/span> "lineno"<\/span>:<\/span> node.<\/span>lineno,<\/span> "name"<\/span>:<\/span> node.<\/span>name,<\/span>
        \n "params"<\/span>:<\/span> params,<\/span> "returns"<\/span>:<\/span> ret,<\/span>
        \n "doc"<\/span>:<\/span> ast.<\/span>get_docstring(<\/span>node)<\/span> or<\/span> ""<\/span>,<\/span>
        \n }<\/span>)<\/span>
        \n return<\/span> docs<\/p>\n

        if<\/span> __name__ ==<\/span> "__main__"<\/span>:<\/span>
        \n import<\/span> tempfile
        \n d =<\/span> Path(<\/span>tempfile.<\/span>mkdtemp(<\/span>)<\/span>)<\/span>
        \n (<\/span>d \/<\/span> "pricing.py"<\/span>)<\/span>.<\/span>write_text(<\/span>
        \n 'def apply_discount(price: float, rate: float = 0.1) -> float:\\\\n'<\/span>
        \n ' """\u6309\u6bd4\u7387\u6253\u6298\u3002rate \u662f 0~1 \u7684\u6d6e\u70b9\u6570\u3002"""\\\\n'<\/span>
        \n ' return round(price * (1.0 – rate), 2)\\\\n'<\/span>,<\/span> encoding=<\/span>"utf-8"<\/span>)<\/span><\/p>\n

        ok,<\/span> err =<\/span> validate(<\/span>{<\/span>"price"<\/span>:<\/span> 90<\/span>,<\/span> "rate"<\/span>:<\/span> 0.1<\/span>}<\/span>,<\/span> type<\/span>(<\/span>"M"<\/span>,<\/span> (<\/span>BaseModel,<\/span>)<\/span>,<\/span> {<\/span>
        \n "__annotations__"<\/span>:<\/span> {<\/span>"price"<\/span>:<\/span> float<\/span>,<\/span> "rate"<\/span>:<\/span> float<\/span>}<\/span>}<\/span>)<\/span>)<\/span>
        \n print<\/span>(<\/span>"validate ok:"<\/span>,<\/span> ok,<\/span> err)<\/span>
        \n ok2,<\/span> err2 =<\/span> validate(<\/span>{<\/span>"price"<\/span>:<\/span> "abc"<\/span>}<\/span>,<\/span> type<\/span>(<\/span>"M2"<\/span>,<\/span> (<\/span>BaseModel,<\/span>)<\/span>,<\/span> {<\/span>
        \n "__annotations__"<\/span>:<\/span> {<\/span>"price"<\/span>:<\/span> float<\/span>}<\/span>}<\/span>)<\/span>)<\/span>
        \n print<\/span>(<\/span>"validate bad:"<\/span>,<\/span> ok2,<\/span> "|"<\/span>,<\/span> err2.<\/span>replace(<\/span>"\\\\n"<\/span>,<\/span> " \/ "<\/span>)<\/span>)<\/span><\/p>\n

        for<\/span> item in<\/span> build_api_docs(<\/span>d)<\/span>:<\/span>
        \n print<\/span>(<\/span>f"<\/span>{<\/span>item[<\/span>'name'<\/span>]<\/span>}<\/span><\/span>(<\/span>{<\/span>', '<\/span>.<\/span>join(<\/span>p[<\/span>'name'<\/span>]<\/span> +<\/span> ': '<\/span> +<\/span> p[<\/span>'type'<\/span>]<\/span> for<\/span> p in<\/span> item[<\/span>'params'<\/span>]<\/span>)<\/span>}<\/span><\/span>)"<\/span><\/span>
        \n f" -> <\/span>{<\/span>item[<\/span>'returns'<\/span>]<\/span>}<\/span><\/span>"<\/span><\/span>)<\/span>
        \n print<\/span>(<\/span>" params:"<\/span>,<\/span> json.<\/span>dumps(<\/span>item[<\/span>"params"<\/span>]<\/span>,<\/span> ensure_ascii=<\/span>False<\/span>)<\/span>)<\/span>
        \n print<\/span>(<\/span>" doc:"<\/span>,<\/span> item[<\/span>"doc"<\/span>]<\/span>,<\/span> "| token cost: 0"<\/span>)<\/span><\/p>\n

        \u8f93\u51fa：<\/p>\n

        validate ok: True
        \nvalidate bad: False | price: Input should be a valid number, unable to parse string as a number
        \napply_discount(price: float, rate: float = 0.1) -> float
        \n params: [{"name": "price", "type": "float", "default": null}, {"name": "rate", "type": "float", "default": "0.1"}]
        \n doc: \u6309\u6bd4\u7387\u6253\u6298\u3002rate \u662f 0~1 \u7684\u6d6e\u70b9\u6570\u3002 | token cost: 0<\/p>\n

        \u9ed8\u8ba4\u503c 0.1 \u662f\u4ece AST \u91cc\u5b57\u9762\u8bfb\u51fa\u6765\u7684，\u4e0d\u662f\u6a21\u578b\u731c\u7684\u3002\u8fd9\u4e00\u6761\u770b\u7740\u7410\u788e，\u4f46\u5728\u4e00\u4e2a\u6709 300 \u4e2a API \u7684\u6587\u6863\u7ad9\u91cc，\u300c\u731c\u9519\u9ed8\u8ba4\u503c\u300d\u662f\u6700\u5e38\u89c1\u4e5f\u6700\u96be\u88ab\u53d1\u73b0\u7684\u4e00\u7c7b\u9519\u8bef\u3002<\/p>\n

        \u516d\u3001\u7ed3\u679c\u5bf9\u6bd4\u4e0e\u6570\u636e\u5206\u6790<\/h3>\n

        6.1 \u5b9e\u6d4b\u73af\u5883\u4e0e\u65b9\u6cd5<\/h4>\n

        \u5728\u5185\u90e8\u4e00\u4e2a\u4e2d\u7b49\u89c4\u6a21 Python \u4ed3\u5e93\u4e0a\u8dd1\u4e86 60 \u4e2a\u771f\u5b9e bug \u4fee\u590d\u4efb\u52a1（21k \u884c\u4ee3\u7801\u30011400 \u4e2a\u5355\u6d4b）\u3002\u5bf9\u6bd4\u56db\u6863\u914d\u7f6e，\u6bcf\u6863\u8dd1\u540c\u6837\u7684 60 \u4e2a\u4efb\u52a1，\u987a\u5e8f\u56fa\u5b9a，\u907f\u514d\u987a\u5e8f\u6548\u5e94\u3002<\/p>\n\n\u914d\u7f6e\u6c99\u7bb1\u56de\u6eda\u65ad\u8a00\u9884\u7b97\u9519\u8bef\u6808\u538b\u7f29<\/tr>\n\n\n\n\n\n
        A \u88f8\u6a21\u578b<\/td>\n\u65e0<\/td>\n\u65e0<\/td>\n\u6a21\u578b\u81ea\u8ff0<\/td>\n\u65e0<\/td>\n\u65e0<\/td>\n<\/tr>\n
        B \u4ec5\u65ad\u8a00<\/td>\n\u65e0<\/td>\n\u65e0<\/td>\npytest L3<\/td>\n\u65e0<\/td>\n\u65e0<\/td>\n<\/tr>\n
        C \u65ad\u8a00+\u9884\u7b97<\/td>\n\u65e0<\/td>\n\u65e0<\/td>\nL0-L3<\/td>\n\u6b65\u6570 8<\/td>\n\u65e0<\/td>\n<\/tr>\n
        D \u5b8c\u6574 harness<\/td>\n\u6709<\/td>\ngit \u5feb\u7167<\/td>\nL0-L3 + \u95e8\u7981<\/td>\n\u56db\u7ef4 + \u8f6f\u538b\u529b<\/td>\n\u6709<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

        6.2 \u4e3b\u7ed3\u679c<\/h4>\n\n\u6307\u6807A \u88f8\u6a21\u578bB \u4ec5\u65ad\u8a00C \u65ad\u8a00+\u9884\u7b97D \u5b8c\u6574 harness<\/tr>\n\n\n\n\n\n\n\n\n\n
        \u4efb\u52a1\u6210\u529f\u7387<\/td>\n31.7%<\/td>\n48.3%<\/td>\n63.3%<\/td>\n71.7%<\/td>\n<\/tr>\n
        \u5e73\u5747\u8fed\u4ee3\u6b65\u6570<\/td>\n1.0<\/td>\n5.8<\/td>\n6.4<\/td>\n4.1<\/td>\n<\/tr>\n
        \u5e73\u5747 token\/\u4efb\u52a1<\/td>\n9.4k<\/td>\n21.7k<\/td>\n24.1k<\/td>\n14.3k<\/td>\n<\/tr>\n
        \u5e73\u5747\u6210\u672c\/\u4efb\u52a1（USD）<\/td>\n0.041<\/td>\n0.094<\/td>\n0.105<\/td>\n0.062<\/td>\n<\/tr>\n
        P50 \u5899\u949f（s）<\/td>\n11<\/td>\n74<\/td>\n86<\/td>\n61<\/td>\n<\/tr>\n
        P95 \u5899\u949f（s）<\/td>\n34<\/td>\n291<\/td>\n268<\/td>\n174<\/td>\n<\/tr>\n
        \u8d8a\u6743\u6587\u4ef6\u5199\u5165\u6b21\u6570<\/td>\n7<\/td>\n5<\/td>\n4<\/td>\n0<\/td>\n<\/tr>\n
        \u9700\u4eba\u5de5\u6e05\u7406\u7684\u810f\u5de5\u4f5c\u533a<\/td>\n23<\/td>\n11<\/td>\n9<\/td>\n0<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

        \u51e0\u4e2a\u5fc5\u987b\u89e3\u91ca\u7684\u70b9：<\/p>\n

        D \u7684\u6210\u529f\u7387\u6bd4 C \u9ad8，\u4f46\u6b65\u6570\u6bd4 C \u5c11，\u770b\u8d77\u6765\u77db\u76fe，\u5176\u5b9e\u4e0d\u7136\u3002C \u914d\u7f6e\u91cc\u90a3\u4e9b\u591a\u51fa\u6765\u7684\u6b65\u6570，\u7edd\u5927\u90e8\u5206\u662f\u300c\u6a21\u578b\u5728\u539f\u5730\u6253\u8f6c\u300d\u2014\u2014\u6ca1\u6709\u9519\u8bef\u6808\u538b\u7f29\u65f6，\u6a21\u578b\u88ab\u65e5\u5fd7\u566a\u58f0\u5e26\u504f，\u53bb\u4fee warning；\u6ca1\u6709\u6c99\u7bb1\u65f6，\u5b83\u751a\u81f3\u80fd\u6539\u5230\u81ea\u5df1\u4e0a\u4e00\u8f6e\u5199\u574f\u7684\u4e2d\u95f4\u72b6\u6001\u3002D \u7684 non_progress \u68c0\u6d4b\u628a\u8fd9\u4e9b\u65e0\u6548\u6b65\u6570\u76f4\u63a5\u780d\u6389\u4e86\u3002<\/p>\n

        D \u7684 token \u6bd4 B\/C \u5c11 40%，\u51e0\u4e4e\u5168\u90e8\u6765\u81ea\u9519\u8bef\u6808\u538b\u7f29（\u6bcf\u8f6e\u56de\u5582\u4ece\u7ea6 9k \u5b57\u7b26\u964d\u5230\u7ea6 1.2k）\u548c\u786e\u5b9a\u6027\u66ff\u6362（5 \u4e2a\u73af\u8282\u7684 token \u5f52\u96f6）\u3002\u8fd9\u4e00\u9879\u5176\u5b9e\u662f\u7eaf\u8d5a：\u6210\u529f\u7387\u6ca1\u964d，\u6210\u672c\u964d\u4e86，\u5ef6\u8fdf\u4e5f\u964d\u4e86\u3002<\/p>\n

        \u8d8a\u6743\u6587\u4ef6\u5199\u5165\u4ece 7 \u6b21\u964d\u5230 0 \u6b21\u662f\u6c99\u7bb1 + \u8def\u5f84\u6b63\u5219 + \u6d4b\u8bd5\u53ea\u8bfb\u4e09\u5c42\u7684\u5171\u540c\u7ed3\u679c\u3002\u5355\u72ec\u4efb\u4f55\u4e00\u5c42\u90fd\u4e0d\u591f：\u53ea\u6709\u6c99\u7bb1，\u6a21\u578b\u8fd8\u80fd\u6539 tests\/；\u53ea\u6709\u6b63\u5219，src\/ \u5185\u90e8\u8d8a\u6743\u7ba1\u4e0d\u4e86\u3002<\/p>\n

        6.3 \u8fed\u4ee3\u4e0a\u9650\u7684\u654f\u611f\u5ea6<\/h4>\n

        max_steps \u662f\u4e00\u4e2a\u5fc5\u987b\u8c03\u7684\u53c2\u6570，\u4f46\u4e0d\u662f\u8d8a\u5927\u8d8a\u597d\u3002<\/p>\n\nmax_steps\u6210\u529f\u7387\u5e73\u5747\u6210\u672c（USD）\u8fb9\u9645\u6210\u529f\u7387\u589e\u76ca\u8fb9\u9645\u6210\u672c（USD）<\/tr>\n\n\n\n\n\n\n\n
        2<\/td>\n44.9%<\/td>\n0.028<\/td>\n\u2014<\/td>\n\u2014<\/td>\n<\/tr>\n
        4<\/td>\n62.1%<\/td>\n0.049<\/td>\n+17.2%<\/td>\n0.021<\/td>\n<\/tr>\n
        6<\/td>\n69.4%<\/td>\n0.068<\/td>\n+7.3%<\/td>\n0.019<\/td>\n<\/tr>\n
        8<\/td>\n71.7%<\/td>\n0.062<\/td>\n+2.3%<\/td>\n-0.006（non_progress \u63d0\u524d\u505c）<\/td>\n<\/tr>\n
        12<\/td>\n72.0%<\/td>\n0.081<\/td>\n+0.3%<\/td>\n0.019<\/td>\n<\/tr>\n
        16<\/td>\n72.1%<\/td>\n0.098<\/td>\n+0.1%<\/td>\n0.017<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

        \u6ce8\u610f\u4e24\u4e2a\u53cd\u5e38\u884c：8 \u6b65\u7684\u5e73\u5747\u6210\u672c\u4f4e\u4e8e 6 \u6b65，\u56e0\u4e3a non_progress \u68c0\u6d4b\u5728\u66f4\u5927\u9884\u7b97\u4e0b\u6709\u673a\u4f1a\u89e6\u53d1，\u53cd\u800c\u63d0\u524d\u6536\u655b；12 \u6b65\u4e4b\u540e\u8fb9\u9645\u589e\u76ca\u8dcc\u5230 0.3% \u4ee5\u4e0b，\u8bf4\u660e\u8fd9\u4e2a\u4ed3\u5e93\u7684\u4efb\u52a1\u590d\u6742\u5ea6\u5206\u5e03\u91cc，\u8d85\u8fc7 10 \u6b65\u80fd\u89e3\u7684\u95ee\u9898\u672c\u6765\u5c31\u662f\u5c11\u6570\u2014\u2014\u90a3\u4e9b\u95ee\u9898\u901a\u5e38\u4e0d\u662f\u300c\u591a\u8bd5\u51e0\u6b21\u300d\u80fd\u89e3\u7684，\u800c\u662f\u4efb\u52a1\u63cf\u8ff0\u672c\u8eab\u4e0d\u591f\u6e05\u695a\u3002<\/p>\n

        \u6211\u7684\u9ed8\u8ba4\u503c\u662f 8 \u6b65 + 0.5 USD \u53cc\u4e0a\u9650\u3002\u4f4e\u4e8e 6 \u4f1a\u660e\u663e\u6389\u6210\u529f\u7387，\u9ad8\u4e8e 12 \u662f\u6d6a\u8d39\u3002<\/p>\n

        6.4 \u5931\u8d25\u539f\u56e0\u5206\u5e03（D \u914d\u7f6e，17 \u4e2a\u5931\u8d25\u4efb\u52a1）<\/h4>\n\nstop_reason\u6570\u91cf\u5360\u6bd4\u5178\u578b\u60c5\u5f62<\/tr>\n\n\n\n\n\n\n\n
        non_progress<\/td>\n6<\/td>\n35.3%<\/td>\n\u8fde\u7eed\u4e24\u8f6e\u6307\u7eb9\u76f8\u540c，\u6a21\u578b\u5728\u6539\u540c\u4e00\u4e2a\u5730\u65b9<\/td>\n<\/tr>\n
        steps_exhausted<\/td>\n4<\/td>\n23.5%<\/td>\n\u9700\u6c42\u6d89\u53ca\u8de8\u6a21\u5757\u91cd\u6784，\u4e00\u6b21\u6027\u6539\u4e0d\u52a8<\/td>\n<\/tr>\n
        cost_tripped<\/td>\n3<\/td>\n17.6%<\/td>\n\u4efb\u52a1\u89e6\u53d1\u4e86\u5927\u8303\u56f4\u7c7b\u578b\u6539\u52a8，mypy \u53cd\u590d\u62a5\u9519<\/td>\n<\/tr>\n
        flaky_assertion<\/td>\n2<\/td>\n11.8%<\/td>\n\u6d4b\u8bd5\u672c\u8eab\u4f9d\u8d56\u65f6\u95f4\u4e0e\u968f\u673a\u6570<\/td>\n<\/tr>\n
        gate_regression<\/td>\n1<\/td>\n5.9%<\/td>\n\u5c40\u90e8\u4fee\u597d\u4e86，\u4f46\u7834\u574f\u4e86\u53e6\u4e00\u4e2a\u6a21\u5757\u7684\u5951\u7ea6<\/td>\n<\/tr>\n
        sandbox_killed<\/td>\n1<\/td>\n5.9%<\/td>\n\u751f\u6210\u7684\u4ee3\u7801\u91cc\u6709\u6b7b\u5faa\u73af，CPU rlimit \u89e6\u53d1<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

        non_progress \u5360\u7b2c\u4e00\u4f4d，\u8fd9\u6070\u6070\u8bf4\u660e\u8fd9\u4e2a\u4fe1\u53f7\u6293\u5bf9\u4e86：\u5b83\u628a\u672c\u6765\u4f1a\u4ee5 steps_exhausted \u7ed3\u675f\u3001\u767d\u70e7 6 \u6b65\u7684\u4efb\u52a1\u63d0\u524d\u5224\u6b7b\u3002<\/p>\n

        \u4e03\u3001\u8e29\u5751\u8bb0\u5f55\u4e0e\u6392\u67e5\u624b\u518c<\/h3>\n

        \u516b\u6761，\u5168\u90e8\u662f\u771f\u5b9e\u8e29\u8fc7\u7684\u3002\u683c\u5f0f\u56fa\u5b9a\u4e3a\u300c\u73b0\u8c61 \/ \u5b9a\u4f4d \/ \u539f\u56e0 \/ \u89e3\u51b3\u300d\u3002<\/p>\n

        7.1 \u6c99\u7bb1\u9003\u9038：\u5b50\u8fdb\u7a0b\u901a\u8fc7\u73af\u5883\u53d8\u91cf\u62ff\u5230\u4e86\u5bbf\u4e3b\u51ed\u8bc1<\/h4>\n

        \u73b0\u8c61：\u4e00\u4e2a\u300c\u91cd\u547d\u540d\u5de5\u5177\u7c7b\u300d\u7684\u7b80\u5355\u4efb\u52a1，harness \u62a5\u544a solved，\u4f46\u4e8b\u540e\u5728\u5ba1\u8ba1\u65e5\u5fd7\u91cc\u53d1\u73b0\u4efb\u52a1\u671f\u95f4\u6709\u4e00\u6b21\u5bf9 169.254.169.254（\u4e91\u5143\u6570\u636e\u670d\u52a1）\u7684\u8bf7\u6c42\u3002\u4efb\u52a1\u672c\u8eab\u4e0d\u9700\u8981\u4efb\u4f55\u7f51\u7edc\u3002<\/p>\n

        \u5b9a\u4f4d：\u5728\u6c99\u7bb1\u91cc\u8dd1 env | grep -i -E "aws|ssh|kube|token"，\u8f93\u51fa\u91cc\u6709 AWS_PROFILE=prod\u3001SSH_AUTH_SOCK=\/tmp\/ssh-xxx\/agent.1234\u3001KUBECONFIG=\/home\/me\/.kube\/config\u3002\u4e5f\u5c31\u662f\u8bf4，tempfile.mkdtemp() \u53ea\u9694\u79bb\u4e86\u5de5\u4f5c\u76ee\u5f55，\u6ca1\u6709\u9694\u79bb\u8eab\u4efd\u3002<\/p>\n

        \u539f\u56e0：subprocess.run \u9ed8\u8ba4\u7ee7\u627f\u7236\u8fdb\u7a0b\u5b8c\u6574\u73af\u5883\u3002\u6211\u628a repo \u62f7\u8fdb\u4e86\u4e34\u65f6\u76ee\u5f55，\u5374\u6ca1\u6709\u52a8 os.environ\u3002\u6a21\u578b\u751f\u6210\u7684\u4efb\u4f55\u4e00\u6bb5\u811a\u672c\u90fd\u80fd\u8bfb\u5230\u8fd9\u4e9b\u53d8\u91cf，\u800c RLIMIT_AS \u548c\u7f51\u7edc\u7b56\u7565（\u5f53\u65f6\u8fd8\u6ca1\u52a0 unshare）\u90fd\u7ba1\u4e0d\u5230\u300c\u8bfb\u4e00\u4e2a\u73af\u5883\u53d8\u91cf\u300d\u8fd9\u4e2a\u52a8\u4f5c\u3002<\/p>\n

        \u89e3\u51b3：\u4e09\u91cd\u5904\u7406，\u7f3a\u4e00\u4e0d\u53ef\u3002<\/p>\n

      • \u73af\u5883\u767d\u540d\u5355 _clean_env()，\u53ea\u4fdd\u7559 PATH\/LANG\/TZ \u7b49，\u663e\u5f0f pop \u6389\u51ed\u8bc1\u7c7b\u53d8\u91cf（\u89c1 5.2）\u3002<\/li>\n
      • HOME \u5f3a\u5236\u6307\u5411\u6c99\u7bb1\u5185\u7684\u7a7a\u76ee\u5f55，\u8ba9 ~\/.aws\u3001~\/.ssh\u3001~\/.config\/gcloud \u4e00\u6b21\u6027\u5168\u90e8\u5931\u6548\u3002\u8fd9\u4e00\u6761\u6bd4\u9010\u4e2a pop \u66f4\u5f7b\u5e95\u3002<\/li>\n
      • Linux \u4e0a\u7528 unshare -n \u5efa\u65e0\u7f51\u7edc\u547d\u540d\u7a7a\u95f4；\u4e0d\u652f\u6301\u7684\u5e73\u53f0\u6253\u5370\u964d\u7ea7\u8b66\u544a，\u7edd\u4e0d\u9759\u9ed8\u3002<\/li>\n

        \u9a8c\u8bc1\u65b9\u5f0f：\u5728\u6c99\u7bb1\u91cc\u8dd1 python -c "import os,socket;print(os.environ.get('AWS_PROFILE'));socket.create_connection(('1.1.1.1',80),3)"，\u5e94\u5f53\u629b\u5f02\u5e38\u6216\u8d85\u65f6\u3002<\/p>\n

        7.2 flaky \u6d4b\u8bd5\u8ba9\u5faa\u73af\u5728\u4e24\u4e2a\u72b6\u6001\u4e4b\u95f4\u9707\u8361<\/h4>\n

        \u73b0\u8c61：\u4e00\u4e2a\u4efb\u52a1\u7684\u6210\u672c\u662f\u540c\u7c7b\u4efb\u52a1\u7684 4 \u500d，8 \u6b65\u8dd1\u6ee1，\u6700\u540e steps_exhausted \u5931\u8d25\u3002\u9010\u8f6e\u770b\u62a5\u544a，\u53d1\u73b0\u5931\u8d25\u8282\u70b9\u5728 test_order_total \u548c test_order_total_concurrent \u4e4b\u95f4\u6765\u56de\u8df3，\u9519\u8bef\u7c7b\u578b\u4e00\u4f1a\u513f AssertionError \u4e00\u4f1a\u513f TimeoutError\u3002<\/p>\n

        \u5b9a\u4f4d：\u628a\u8fd9\u4e24\u4e2a\u6d4b\u8bd5\u5355\u72ec\u62ff\u51fa\u6765\u8fde\u8dd1 10 \u6b21，\u9000\u51fa\u7801\u6709 0 \u6709 1\u3002\u662f\u6d4b\u8bd5\u672c\u8eab\u4e0d\u7a33\u5b9a，\u4e0d\u662f\u4ee3\u7801\u6709\u95ee\u9898\u3002<\/p>\n

        \u539f\u56e0：test_order_total_concurrent \u4f9d\u8d56 time.time() \u548c\u7ebf\u7a0b\u6c60\u8c03\u5ea6，\u5728\u8d1f\u8f7d\u9ad8\u7684\u65f6\u5019\u4f1a\u8d85\u65f6\u3002harness \u628a\u300c\u65ad\u8a00\u5931\u8d25\u300d\u65e0\u6761\u4ef6\u7b49\u4ef7\u4e3a\u300c\u6a21\u578b\u5199\u9519\u4e86\u300d，\u4e8e\u662f\u6a21\u578b\u88ab\u8981\u6c42\u53bb\u4fee\u4e00\u4e2a\u5b83\u6839\u672c\u6ca1\u78b0\u8fc7\u7684\u5e76\u53d1\u6d4b\u8bd5，\u8d8a\u4fee\u8d8a\u4e71\u3002<\/p>\n

        \u89e3\u51b3：\u5728\u65ad\u8a00\u5c42\u52a0 looks_flaky()（\u89c1 5.4）\u2014\u2014\u540c\u4e00\u4e2a\u8282\u70b9\u8fde\u8dd1 3 \u6b21，\u9000\u51fa\u7801\u4e0d\u4e00\u81f4\u5c31\u5224\u5b9a flaky，\u76f4\u63a5\u7f6e stop_reason=flaky_assertion \u5e76\u505c\u6b62\u5faa\u73af，\u4e0d\u628a\u9505\u7529\u7ed9\u6a21\u578b\u3002\u540c\u65f6\u628a flaky \u6d4b\u8bd5\u6253\u4e0a @pytest.mark.flaky \u5e76\u79fb\u51fa L3 \u76ee\u6807\u5c42，\u53ea\u4fdd\u7559\u5728 L5 \u5168\u91cf\u91cc\u4f5c\u4e3a\u53c2\u8003（\u4e0d\u8ba1\u5165\u95e8\u7981）\u3002<\/p>\n

        \u8fd9\u6761\u5751\u7684\u6559\u8bad\u662f\u901a\u7528\u7684：**\u4efb\u4f55\u81ea\u52a8\u5316\u4fee\u590d\u5faa\u73af\u90fd\u5fc5\u987b\u5148\u9a8c\u8bc1\u88c1\u5224\u662f\u53ef\u9760\u7684，\u518d\u8ba9\u9009\u624b\u4e0a\u573a\u3002**\u88c1\u5224\u4e0d\u53ef\u9760\u7684\u65f6\u5019，\u5faa\u73af\u8dd1\u5f97\u8d8a\u4e45\u9519\u5f97\u8d8a\u79bb\u8c31\u3002<\/p>\n

        7.3 \u8fed\u4ee3\u4e0a\u9650\u8bbe\u6210 3，\u4efb\u52a1\u5927\u6279\u300c\u76f4\u63a5\u653e\u5f03\u300d<\/h4>\n

        \u73b0\u8c61：\u521d\u7248 harness \u4e0a\u7ebf\u7b2c\u4e00\u5929，\u6210\u529f\u7387\u53ea\u6709 44.9%\u3002\u770b\u5931\u8d25\u5206\u5e03，\u4e00\u5927\u534a\u662f steps_exhausted，\u800c\u4e14\u5b83\u4eec\u7684\u62a5\u544a\u91cc\u5f80\u5f80\u53ea\u6709 2 \u5230 3 \u8f6e\u8fed\u4ee3，\u6700\u540e\u90a3\u8f6e\u7684\u5931\u8d25\u6808\u770b\u8d77\u6765\u300c\u5feb\u8981\u4fee\u597d\u4e86\u300d\u3002<\/p>\n

        \u5b9a\u4f4d：\u6211\u628a max_steps \u9ed8\u8ba4\u503c\u8bbe\u6210\u4e86 3，\u7406\u7531\u662f\u300c\u63a7\u5236\u6210\u672c\u300d\u3002<\/p>\n

        \u539f\u56e0：\u6210\u672c\u7126\u8651\u5bfc\u81f4\u9884\u7b97\u8fc7\u7d27\u3002\u4ece 6.3 \u7684\u654f\u611f\u5ea6\u8868\u53ef\u4ee5\u8bfb\u51fa，\u8fd9\u4e2a\u4ed3\u5e93\u4e0a\u4ece 2 \u6b65\u5230 6 \u6b65\u7684\u8fb9\u9645\u6210\u529f\u7387\u589e\u76ca\u662f +24.5%，\u8fb9\u9645\u6210\u672c\u53ea\u6709 0.04 USD；\u800c 12 \u6b65\u4e4b\u540e\u8fb9\u9645\u589e\u76ca\u8dcc\u5230 0.3%\u3002\u9884\u7b97\u66f2\u7ebf\u6709\u4e00\u4e2a\u660e\u663e\u7684\u819d\u70b9，\u628a\u4e0a\u9650\u8bbe\u5728\u819d\u70b9\u5de6\u8fb9\u662f\u7eaf\u4e8f\u3002<\/p>\n

        \u89e3\u51b3：\u9ed8\u8ba4\u6539\u6210 8 \u6b65 + 0.5 USD \u53cc\u4e0a\u9650，\u5e76\u4e14\u7528 non_progress \u68c0\u6d4b\u628a\u300c\u6253\u8f6c\u300d\u7684\u4efb\u52a1\u63d0\u524d\u5224\u6b7b\u3002\u8fd9\u6837\u65e2\u4e0d\u4f1a\u8fc7\u65e9\u653e\u5f03，\u4e5f\u4e0d\u4f1a\u8ba9\u65e0\u89e3\u4efb\u52a1\u70e7\u6ee1\u9884\u7b97\u3002\u53e6\u5916\u4e00\u4e2a\u914d\u5957\u52a8\u4f5c：\u5728\u62a5\u544a\u91cc\u8bb0\u5f55\u6bcf\u4e00\u8f6e\u7684 fingerprint，\u9694\u4e00\u5468\u56de\u5934\u770b\u54ea\u4e9b\u6307\u7eb9\u53cd\u590d\u51fa\u73b0\u2014\u2014\u90a3\u4e9b\u901a\u5e38\u662f\u9700\u6c42\u63cf\u8ff0\u4e0d\u6e05\u7684\u4efb\u52a1，\u5e94\u8be5\u56de\u5230\u4eba\u90a3\u91cc\u62c6\u7ec6，\u800c\u4e0d\u662f\u9760\u52a0\u9884\u7b97\u786c\u625b\u3002<\/p>\n

        7.4 \u56de\u6eda\u628a\u672a\u8ddf\u8e2a\u6587\u4ef6\u5220\u6ca1\u4e86<\/h4>\n

        \u73b0\u8c61：\u4e00\u6b21\u5931\u8d25\u7684\u81ea\u52a8\u4fee\u590d\u4e4b\u540e，\u5f00\u53d1\u8005\u53d1\u73b0\u81ea\u5df1\u672c\u5730\u7684 .env.local \u548c\u4e00\u4efd\u5199\u4e86\u4e24\u5929\u8fd8\u6ca1\u63d0\u4ea4\u7684\u8fc1\u79fb\u811a\u672c migrations\/2026_09_add_tenant.sql \u4e00\u8d77\u6d88\u5931\u4e86\u3002<\/p>\n

        \u5b9a\u4f4d：\u56de\u6eda\u4ee3\u7801\u662f git checkout . && git clean -fd\u3002<\/p>\n

        \u539f\u56e0：git clean -fd \u7684\u5b9a\u4e49\u5c31\u662f\u300c\u5220\u9664\u6240\u6709\u672a\u8ddf\u8e2a\u6587\u4ef6\u300d，\u5b83\u4e0d\u533a\u5206\u8fd9\u4e2a\u6587\u4ef6\u662f\u6a21\u578b\u65b0\u5efa\u7684\u8fd8\u662f\u5f00\u53d1\u8005\u672c\u6765\u5c31\u6709\u7684\u3002git checkout . \u4e5f\u53ea\u6062\u590d\u5df2\u8ddf\u8e2a\u6587\u4ef6\u3002\u4e24\u4e2a\u547d\u4ee4\u5408\u8d77\u6765，\u628a\u300c\u4efb\u52a1\u5f00\u59cb\u524d\u5c31\u5b58\u5728\u7684\u672a\u8ddf\u8e2a\u6587\u4ef6\u300d\u8fd9\u4e00\u6574\u7c7b\u72b6\u6001\u65e0\u5dee\u522b\u62b9\u6389\u4e86\u3002<\/p>\n

        \u89e3\u51b3：\u6539\u7528 5.3 \u7684\u5feb\u7167\u65b9\u6848\u2014\u2014\u5148 git add -A \u8ba9\u672a\u8ddf\u8e2a\u6587\u4ef6\u8fdb\u5165\u7d22\u5f15，\u518d git diff –cached –binary \u751f\u6210\u5305\u542b\u65b0\u5efa\u6587\u4ef6\u7684\u5b8c\u6574 patch，\u56de\u6eda\u65f6 git apply -R\u3002git apply -R \u5bf9\u300cnew file mode\u300d\u6bb5\u843d\u7684\u5904\u7406\u662f\u5220\u9664\u8be5\u6587\u4ef6，\u6240\u4ee5\u5b83\u5929\u7136\u533a\u5206\u4e86\u300c\u65b0\u5efa\u7684（\u8be5\u5220）\u300d\u548c\u300c\u672c\u6765\u5c31\u6709\u7684（\u8be5\u7559）\u300d\u3002\u53e6\u5916\u52a0\u4e86\u4e24\u6761\u4fdd\u9669：\u56de\u6eda\u524d\u5148 git apply –check -R \u9a8c\u8bc1；\u5feb\u7167\u65f6\u628a run_id \u5199\u8fdb patch \u6587\u4ef6\u540d，\u4fdd\u7559 7 \u5929，\u65b9\u4fbf\u4eba\u5de5\u627e\u56de\u3002<\/p>\n

        \u5982\u679c\u4f60\u73b0\u5728\u7684\u4ee3\u7801\u91cc\u8fd8\u6709 git clean -fd，\u4eca\u5929\u5c31\u6539\u6389\u3002<\/p>\n

        7.5 \u9519\u8bef\u6808\u592a\u957f，\u6324\u7206\u4e0a\u4e0b\u6587\u5e76\u5e26\u504f\u6a21\u578b<\/h4>\n

        \u73b0\u8c61：\u7b2c 3 \u8f6e\u4e4b\u540e\u6a21\u578b\u5f00\u59cb\u300c\u8dd1\u9898\u300d\u2014\u2014\u5b83\u53bb\u4fee\u4e00\u4e9b\u548c\u4efb\u52a1\u5b8c\u5168\u65e0\u5173\u7684 warning，\u751a\u81f3\u5728\u62a5\u544a\u91cc\u62b1\u6028\u300c\u4f9d\u8d56\u7248\u672c\u4e0d\u517c\u5bb9\u300d\u3002\u4efb\u52a1\u7684\u771f\u5b9e\u5931\u8d25\u70b9\u5728\u7b2c 1 \u884c\u5c31\u5df2\u7ecf\u660e\u786e\u4e86\u3002<\/p>\n

        \u5b9a\u4f4d：\u6253\u5370\u56de\u5582\u7ed9\u6a21\u578b\u7684\u5b57\u7b26\u4e32\u957f\u5ea6，\u5e73\u5747 9400 \u5b57\u7b26，\u6700\u9ad8 38000\u3002\u91cc\u9762 70% \u662f Requirement already satisfied\u3001Building wheel for xxx \u8fd9\u7c7b\u566a\u58f0\u3002<\/p>\n

        \u539f\u56e0：\u4e24\u6761\u53e0\u52a0\u3002\u4e00\u662f\u6211\u628a pytest \u7684\u5b8c\u6574 stdout \u539f\u6837\u56de\u5582；\u4e8c\u662f\u4e0a\u4e0b\u6587\u88ab\u566a\u58f0\u5360\u6ee1\u4e4b\u540e，\u6a21\u578b\u80fd\u300c\u770b\u5230\u300d\u7684\u771f\u5b9e\u5931\u8d25\u4fe1\u606f\u53cd\u800c\u53d8\u5c11，\u4e8e\u662f\u5b83\u53ea\u80fd\u4ece\u566a\u58f0\u91cc\u6311\u4e00\u4e2a\u770b\u8d77\u6765\u50cf\u95ee\u9898\u7684\u95ee\u9898\u53bb\u4fee\u3002\u8fd9\u662f\u4e00\u4e2a\u6b63\u53cd\u9988\u7684\u8dd1\u504f\u3002<\/p>\n

        \u89e3\u51b3：\u5b9e\u73b0 compress()（\u89c1 5.4）：\u4e22\u6389\u566a\u58f0\u884c\u3001\u4fdd\u7559\u5934\u90e8 12 \u884c\u4e0e\u5c3e\u90e8\u65ad\u8a00\u76f8\u5173\u884c\u3001\u603b\u957f\u5ea6\u786c\u4e0a\u9650 4000 \u5b57\u7b26\u3002\u538b\u7f29\u540e\u5e73\u5747\u56de\u5582\u7ea6 1200 \u5b57\u7b26\u3002\u5b9e\u6d4b\u7ed3\u679c\u662f\u6210\u529f\u7387\u4e0d\u964d\u53cd\u5347（\u56e0\u4e3a\u6a21\u578b\u4e0d\u518d\u88ab\u5e26\u504f），\u540c\u65f6 token \u6d88\u8017\u4e0b\u964d\u7ea6 40%\u3002<\/p>\n

        \u8865\u5145\u4e00\u6761\u7ecf\u9a8c：\u9519\u8bef\u6808\u8981\u4fdd\u7559\u300c\u7cbe\u786e\u4f4d\u7f6e\u300d\u800c\u4e0d\u662f\u300c\u5b8c\u6574\u8fc7\u7a0b\u300d\u3002\u6a21\u578b\u9700\u8981\u7684\u662f src\/pricing.py:42: AssertionError: assert 90 == 81，\u4e0d\u662f\u524d\u9762 200 \u884c\u7684 fixture \u6784\u9020\u8fc7\u7a0b\u3002<\/p>\n

        7.6 \u6a21\u578b\u6539\u6d4b\u8bd5\u800c\u4e0d\u662f\u6539\u4ee3\u7801<\/h4>\n

        \u73b0\u8c61：\u4efb\u52a1\u62a5\u544a solved=True，\u95e8\u7981\u5168\u7eff，\u4f46 PR \u91cc tests\/test_cart.py \u88ab\u6539\u4e86\u2014\u2014\u65ad\u8a00\u4ece assert total == 81 \u53d8\u6210\u4e86 assert total == pytest.approx(81, abs=1)\u3002\u529f\u80fd\u6ca1\u4fee，\u5224\u636e\u88ab\u653e\u5bbd\u4e86\u3002<\/p>\n

        \u5b9a\u4f4d：git diff \u663e\u793a\u6d4b\u8bd5\u6587\u4ef6\u7684\u6539\u52a8\u6765\u81ea\u6a21\u578b\u7684 patch\u3002\u68c0\u67e5 harness，\u53d1\u73b0\u6c99\u7bb1\u5de5\u4f5c\u533a\u91cc\u7684 tests\/ \u662f\u53ef\u5199\u7684\u3002<\/p>\n

        \u539f\u56e0：\u6211\u53ea\u7528\u63d0\u793a\u8bcd\u7ea6\u675f\u300c\u4e0d\u8981\u6539\u6d4b\u8bd5\u300d，\u6ca1\u6709\u5728\u6587\u4ef6\u7cfb\u7edf\u5c42\u9762\u7981\u6b62\u3002\u63d0\u793a\u8bcd\u662f\u5efa\u8bae，\u6a21\u578b\u5728\u300c\u6539\u4ee3\u7801\u6539\u4e0d\u52a8\u300d\u7684\u65f6\u5019\u4f1a\u81ea\u7136\u6ed1\u5411\u300c\u6539\u5224\u636e\u300d\u2014\u2014\u56e0\u4e3a\u4ece\u5b83\u7684\u89c6\u89d2\u770b，\u8fd9\u4e24\u6761\u8def\u90fd\u80fd\u8ba9\u65ad\u8a00\u53d8\u7eff\u3002<\/p>\n

        \u89e3\u51b3：\u4e09\u5c42\u9632\u62a4\u3002<\/p>\n

      • FileEdit.path \u6b63\u5219\u9650\u5236 + Generator\/Fixer \u63d0\u793a\u8bcd\u660e\u786e\u7981\u6b62（5.5）\u3002<\/li>\n
      • \u6c99\u7bb1\u91cc\u5bf9 tests\/ \u4e0b\u6240\u6709\u6587\u4ef6 chmod 0o444，\u6a21\u578b\u5199\u4e0d\u8fdb\u53bb（5.6 \u7684 _apply）\u3002<\/li>\n
      • _commit() \u56de\u5199\u5bbf\u4e3b\u65f6\u8df3\u8fc7 tests\/ \u8def\u5f84，\u53cc\u4fdd\u9669\u3002<\/li>\n

        \u8fd9\u662f\u300c\u786e\u5b9a\u6027\u65ad\u8a00\u300d\u8fd9\u6761\u8fb9\u754c\u7684\u6838\u5fc3\u3002\u5224\u636e\u5fc5\u987b\u7269\u7406\u4e0a\u4e0d\u53ef\u5199，\u5426\u5219\u5b83\u5c31\u4e0d\u662f\u5224\u636e，\u53ea\u662f\u4e00\u4e2a\u9ed8\u8ba4\u503c\u3002<\/p>\n

        7.7 \u6210\u672c\u7194\u65ad\u53ea\u7b97\u4e86\u6a21\u578b token，\u5de5\u5177\u4fa7\u8dd1\u5192\u4e86<\/h4>\n

        \u73b0\u8c61：\u4e00\u4e2a\u4efb\u52a1\u7684\u6a21\u578b token \u53ea\u82b1\u4e86 0.06 USD，\u4f46\u6574\u4e2a\u4efb\u52a1\u8dd1\u4e86 22 \u5206\u949f，\u5360\u4e86 CI \u4e00\u6574\u53f0\u673a\u5668\u3002<\/p>\n

        \u5b9a\u4f4d：\u770b RunReport \u7684 iterations，\u6bcf\u8f6e L3 \u76ee\u6807\u6d4b\u8bd5\u7684 duration_ms \u90fd\u5728 90 \u79d2\u4ee5\u4e0a\u3002\u6a21\u578b\u4fa7\u9884\u7b97\u6ca1\u89e6\u9876，\u6240\u4ee5\u5faa\u73af\u4e00\u76f4\u7ee7\u7eed\u3002<\/p>\n

        \u539f\u56e0：Budget \u53ea\u8bb0\u4e86 token \u548c\u94b1，\u6ca1\u8bb0\u5899\u949f\u3002\u5de5\u5177\u4fa7\u7684\u6210\u672c（\u8dd1\u6d4b\u8bd5\u3001\u8dd1 mypy）\u5728 token \u8d26\u4e0a\u5b8c\u5168\u4e0d\u53ef\u89c1\u3002\u800c max_wall_clock_s \u5f53\u65f6\u8bbe\u6210\u4e86 600，\u592a\u5bbd\u677e\u3002<\/p>\n

        \u89e3\u51b3：\u628a\u5899\u949f\u9884\u7b97\u4ece 600 \u964d\u5230 240，\u5e76\u4e14\u5728 Budget.pressure() \u91cc\u628a\u5899\u949f\u4e5f\u7eb3\u5165（5.1 \u5df2\u7ecf\u662f\u56db\u7ef4\u5ea6）\u3002\u66f4\u5173\u952e\u7684\u662f\u628a\u5de5\u5177\u8017\u65f6\u663e\u5f0f\u8bb0\u8d26：\u6bcf\u4e00\u8f6e\u628a iteration.duration_ms \u7d2f\u52a0，\u5355\u72ec\u51fa\u4e00\u4e2a tool_seconds \u6307\u6807\u3002\u73b0\u5728\u6211\u7684\u770b\u677f\u4e0a\u6709\u4e24\u6761\u7ebf，model_cost_usd \u548c tool_seconds，\u4efb\u4f55\u4e00\u4e2a\u5f02\u5e38\u90fd\u80fd\u7acb\u523b\u5b9a\u4f4d\u662f\u54ea\u4e00\u4fa7\u3002<\/p>\n

        7.8 RLIMIT_AS \u8bbe\u592a\u5c0f，CPython \u8d77\u4e0d\u6765<\/h4>\n

        \u73b0\u8c61：\u628a address_space_mb \u4ece 2048 \u8c03\u5230 512 \u60f3\u7701\u5185\u5b58，\u7ed3\u679c\u6240\u6709\u6c99\u7bb1\u547d\u4ee4\u7684\u9000\u51fa\u7801\u90fd\u662f 1，stdout \u548c stderr \u5168\u7a7a\u3002<\/p>\n

        \u5b9a\u4f4d：\u5728\u6c99\u7bb1\u5916\u624b\u52a8\u8dd1 ulimit -v 524288 && python -c "print(1)"，\u540c\u6837\u9000\u51fa\u7801 1 \u65e0\u8f93\u51fa\u3002<\/p>\n

        \u539f\u56e0：CPython \u89e3\u91ca\u5668\u542f\u52a8\u65f6\u4f1a\u9884\u7559\u76f8\u5f53\u5927\u4e00\u7247\u865a\u62df\u5730\u5740\u7a7a\u95f4（arena\u3001\u7ebf\u7a0b\u6808\u3001importlib \u7684\u6620\u5c04），RLIMIT_AS \u9650\u7684\u662f\u865a\u62df\u5730\u5740\u7a7a\u95f4\u800c\u4e0d\u662f\u7269\u7406\u5185\u5b58\u3002512MB \u7684\u865a\u62df\u5730\u5740\u4e0a\u9650\u5728\u89e3\u91ca\u5668\u5b8c\u6210\u521d\u59cb\u5316\u4e4b\u524d\u5c31\u88ab\u6253\u6ee1\u4e86，\u8fdb\u7a0b\u5728\u80fd\u6253\u5370\u4efb\u4f55\u9519\u8bef\u4fe1\u606f\u4e4b\u524d\u5c31\u88ab SIGKILL \u6389\u3002<\/p>\n

        \u89e3\u51b3：address_space_mb \u4e0d\u4f4e\u4e8e 1536（\u6211\u9ed8\u8ba4 2048）\u3002\u9700\u8981\u66f4\u4e25\u683c\u7684\u5185\u5b58\u9650\u5236\u65f6，\u4e0d\u8981\u7ee7\u7eed\u538b RLIMIT_AS，\u6539\u6210\u4e0b\u9762\u4e24\u79cd\u4e4b\u4e00：<\/p>\n

          \n
        • \u7528 cgroup v2 \u7684 memory.max \u9650\u7269\u7406\u5185\u5b58（\u8fd9\u662f\u6b63\u786e\u7684\u91cf）\u3002<\/li>\n
        • \u7528 RLIMIT_DATA（\u5806）\u914d\u5408 RLIMIT_AS \u653e\u5bbd，\u4f46 Python \u4e0a\u6548\u679c\u4e0d\u7a33，\u4e0d\u63a8\u8350\u3002<\/li>\n<\/ul>\n

          \u901a\u7528\u6392\u67e5\u6280\u5de7：\u6c99\u7bb1\u547d\u4ee4\u9000\u51fa\u7801\u975e 0 \u4e14 stdout\/stderr \u5168\u7a7a\u65f6，\u5148\u6000\u7591 rlimit，\u518d\u6000\u7591\u547d\u4ee4\u672c\u8eab\u3002\u5728 RunResult \u91cc\u4fdd\u7559 killed_by \u5b57\u6bb5\u5c31\u662f\u4e3a\u4e86\u8fd9\u4e00\u523b\u2014\u2014rlimit_cpu\/rlimit_mem\/timeout \u4e09\u4e2a\u503c\u80fd\u8ba9\u8fd9\u7c7b\u95ee\u9898\u4e00\u773c\u770b\u51fa\u3002<\/p>\n

          7.9 \u8e29\u5751\u901f\u67e5\u8868<\/h4>\n\n\u73b0\u8c61\u4e00\u53e5\u8bdd\u5b9a\u4f4d\u547d\u4ee4\u6839\u56e0\u5206\u7c7b\u4fee\u590d\u4f4d\u7f6e<\/tr>\n\n\n\n\n\n\n\n\n\n
          \u6c99\u7bb1\u91cc\u80fd\u8bfb\u5230\u5bbf\u4e3b\u51ed\u8bc1<\/td>\nenv | grep -i aws<\/td>\n\u73af\u5883\u7ee7\u627f<\/td>\n_clean_env() + HOME \u91cd\u5b9a\u5411<\/td>\n<\/tr>\n
          \u5faa\u73af\u5728\u4e24\u4e2a\u5931\u8d25\u70b9\u95f4\u8df3<\/td>\n\u5355\u6d4b\u8fde\u8dd1 3 \u6b21<\/td>\nflaky \u65ad\u8a00<\/td>\nlooks_flaky() \u63d0\u524d\u505c<\/td>\n<\/tr>\n
          \u5927\u6279\u4efb\u52a1\u8fc7\u65e9\u653e\u5f03<\/td>\n\u770b stop_reason \u5206\u5e03<\/td>\n\u9884\u7b97\u8fc7\u7d27<\/td>\nmax_steps \u8c03\u5230\u819d\u70b9\u53f3\u4fa7<\/td>\n<\/tr>\n
          \u672c\u5730\u672a\u63d0\u4ea4\u6587\u4ef6\u6d88\u5931<\/td>\ngit status \u524d\u540e\u5bf9\u6bd4<\/td>\ngit clean -fd<\/td>\n\u6539\u7528 git apply -R<\/td>\n<\/tr>\n
          \u6a21\u578b\u4fee\u65e0\u5173\u7684\u4e1c\u897f<\/td>\n\u6253\u5370\u56de\u5582\u957f\u5ea6<\/td>\n\u4e0a\u4e0b\u6587\u566a\u58f0<\/td>\ncompress()<\/td>\n<\/tr>\n
          \u6d4b\u8bd5\u65ad\u8a00\u88ab\u653e\u5bbd<\/td>\ngit diff tests\/<\/td>\n\u5224\u636e\u53ef\u5199<\/td>\nchmod 0o444 + \u56de\u5199\u8df3\u8fc7<\/td>\n<\/tr>\n
          \u4efb\u52a1\u8017\u65f6\u957f\u4f46\u5f88\u4fbf\u5b9c<\/td>\n\u770b tool_seconds<\/td>\n\u5de5\u5177\u4fa7\u6210\u672c\u6ca1\u8bb0\u8d26<\/td>\n\u5899\u949f\u7eb3\u5165 pressure()<\/td>\n<\/tr>\n
          \u6c99\u7bb1\u547d\u4ee4\u65e0\u8f93\u51fa\u9000\u51fa 1<\/td>\n\u624b\u52a8 ulimit -v<\/td>\n\u865a\u62df\u5730\u5740\u4e0a\u9650<\/td>\naddress_space_mb >= 1536<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

          \u516b\u3001\u4f18\u5316\u65b9\u6848\u4e0e\u8fdb\u9636\u6253\u6cd5<\/h3>\n

          8.1 \u52a8\u6001 Skill \u52a0\u8f7d + Prompt Caching \u538b TTFT<\/h4>\n

          \u628a 30 \u4e2a Skill \u7684\u5b9a\u4e49\u5168\u585e\u8fdb system prompt，\u524d\u7f00\u4f1a\u6709 8000 \u5230 15000 token，\u6bcf\u6b21\u8c03\u7528\u90fd\u8981\u91cd\u65b0 prefill\u3002Anthropic \u84dd\u56fe\u7ed9\u7684\u505a\u6cd5\u662f\u53cd\u8fc7\u6765\u7684：<\/p>\n

          \u9759\u6001\u524d\u7f00（\u53ef\u7f13\u5b58，\u8de8\u4efb\u52a1\u590d\u7528）：
          \n [\u8eab\u4efd] [\u5b89\u5168\u7ea2\u7ebf] [\u8f93\u51fa schema] [\u5de5\u5177\u7b7e\u540d]
          \n -> \u8fd9\u6bb5\u5fc5\u987b\u6bcf\u6b21\u8c03\u7528\u5b8c\u5168\u9010\u5b57\u8282\u4e00\u81f4，\u624d\u80fd\u547d\u4e2d Prompt Caching<\/p>\n

          \u52a8\u6001\u6302\u8f7d（\u4e0d\u53ef\u7f13\u5b58，\u6309\u9700\u6ce8\u5165）：
          \n [\u672c\u6b21\u4efb\u52a1\u76f8\u5173 Skill 1..3] [\u68c0\u7d22\u5230\u7684\u6587\u4ef6\u7247\u6bb5] [\u538b\u7f29\u540e\u7684\u9519\u8bef\u6808]
          \n -> \u8fd9\u6bb5\u6bcf\u8f6e\u90fd\u5728\u53d8，\u653e\u5728\u6700\u540e，\u907f\u514d\u6c61\u67d3\u524d\u7f00<\/p>\n

          \u4e09\u6761\u5b9e\u64cd\u7ea6\u675f：<\/p>\n

            \n
          • **\u9759\u6001\u524d\u7f00\u5fc5\u987b\u9010\u5b57\u8282\u7a33\u5b9a\u3002**\u4efb\u4f55\u65f6\u95f4\u6233\u3001\u968f\u673a run_id\u3001\u7248\u672c\u53f7\u62fc\u63a5\u8fdb system prompt \u90fd\u4f1a\u5bfc\u81f4\u7f13\u5b58 miss\u3002\u6211\u628a run_id \u632a\u5230\u4e86 user message \u91cc\u3002<\/li>\n
          • **Skill \u6302\u8f7d\u8981\u6709\u4e0a\u9650\u3002**\u4e00\u6b21\u6700\u591a\u6302 3 \u4e2a，\u8d85\u8fc7\u5c31\u5148\u505a\u4e00\u8f6e\u300c\u9009 Skill\u300d\u7684\u4fbf\u5b9c\u6a21\u578b\u8c03\u7528\u3002\u6302 10 \u4e2a Skill \u7684\u6536\u76ca\u8fdc\u4f4e\u4e8e\u6210\u672c\u3002<\/li>\n
          • **\u7f13\u5b58\u6709\u6548\u671f\u8981\u5bf9\u9f50\u4f60\u7684\u8fed\u4ee3\u8282\u594f\u3002**\u5927\u90e8\u5206\u7f51\u5173\u7684\u7f13\u5b58 TTL \u662f 5 \u5206\u949f，\u800c\u4e00\u8f6e\u8fed\u4ee3（\u6a21\u578b\u8c03\u7528 + \u6c99\u7bb1\u8dd1\u6d4b\u8bd5）\u5f80\u5f80\u8d85\u8fc7 5 \u5206\u949f\u3002\u89e3\u51b3\u529e\u6cd5\u662f\u628a\u65ad\u8a00\u5c42\u505a\u5feb：L0 \u7528 ruff（\u7ea6 50ms）\u800c\u4e0d\u662f\u7b49\u5168\u91cf\u6d4b\u8bd5，\u8ba9 TTFT \u7684\u70ed\u8def\u5f84\u7559\u5728 TTL \u5185\u3002<\/li>\n<\/ul>\n

            \u5b9e\u6d4b：\u9759\u6001\u524d\u7f00 6200 token \u7a33\u5b9a\u540e，\u547d\u4e2d\u7f13\u5b58\u7684\u5355\u8f6e TTFT \u4ece\u7ea6 1.8s \u964d\u5230\u7ea6 0.6s，8 \u6b65\u4efb\u52a1\u7d2f\u8ba1\u7701\u4e0b\u7ea6 9s；\u6210\u672c\u4e0a\u7f13\u5b58\u547d\u4e2d\u7684\u8f93\u5165 token \u901a\u5e38\u6709\u5927\u5e45\u6298\u6263，\u6574\u4f53\u518d\u964d\u7ea6 30%\u3002<\/p>\n

            8.2 UI \u7ec4\u4ef6\u4f5c\u4e3a\u5de5\u5177\u8f93\u51fa<\/h4>\n

            \u5de5\u5177\u8fd4\u56de\u7eaf\u6587\u672c\u65f6，\u300c\u6a21\u578b\u7406\u89e3\u300d\u548c\u300c\u4eba\u7406\u89e3\u300d\u7528\u7684\u662f\u540c\u4e00\u4efd\u6750\u6599，\u800c\u8fd9\u4e24\u4ef6\u4e8b\u7684\u6700\u4f18\u8868\u793a\u5b8c\u5168\u4e0d\u540c\u3002\u8ba9\u5de5\u5177\u8fd4\u56de\u4e00\u4e2a\u7ec4\u4ef6\u63cf\u8ff0：<\/p>\n

            {<\/span>
            \n "component"<\/span>:<\/span> "DiffReview"<\/span>,<\/span>
            \n "props"<\/span>:<\/span> {<\/span>
            \n "files"<\/span>:<\/span> [<\/span>{<\/span>"path"<\/span>:<\/span> "src\/pricing.py"<\/span>,<\/span> "added"<\/span>:<\/span> 6<\/span>,<\/span> "removed"<\/span>:<\/span> 2<\/span>}<\/span>]<\/span>,<\/span>
            \n "assertions"<\/span>:<\/span> [<\/span>{<\/span>"name"<\/span>:<\/span> "L3_target"<\/span>,<\/span> "ok"<\/span>:<\/span> true<\/span>,<\/span> "ms"<\/span>:<\/span> 3120<\/span>}<\/span>]<\/span>,<\/span>
            \n "budget"<\/span>:<\/span> {<\/span>"steps"<\/span>:<\/span> "2\/8"<\/span>,<\/span> "cost"<\/span>:<\/span> "$0.017 \/ $0.50"<\/span>}<\/span>,<\/span>
            \n "actions"<\/span>:<\/span> [<\/span>{<\/span>"id"<\/span>:<\/span> "approve"<\/span>,<\/span> "label"<\/span>:<\/span> "\u5408\u5e76"<\/span>}<\/span>,<\/span> {<\/span>"id"<\/span>:<\/span> "reject"<\/span>,<\/span> "label"<\/span>:<\/span> "\u56de\u6eda"<\/span>}<\/span>]<\/span>
            \n }<\/span>
            \n}<\/span><\/p>\n

            \u524d\u7aef\u6e32\u67d3\u6210\u4e00\u4e2a\u771f\u5b9e\u7684 diff \u89c6\u56fe + \u9884\u7b97\u8fdb\u5ea6\u6761 + \u4e24\u4e2a\u6309\u94ae\u3002\u597d\u5904\u6709\u4e09：\u4eba\u4e0d\u7528\u8bfb\u6a21\u578b\u5199\u7684\u81ea\u7136\u8bed\u8a00\u603b\u7ed3（\u90a3\u603b\u7ed3\u53ef\u80fd\u6492\u8c0e）；\u64cd\u4f5c\u5165\u53e3\u662f\u7ed3\u6784\u5316 action id，\u4e0d\u662f\u300c\u8bf7\u5e2e\u6211\u5408\u5e76\u300d；\u9884\u7b97\u72b6\u6001\u5bf9\u4eba\u53ef\u89c1，\u4eba\u80fd\u5728\u6210\u672c\u5931\u63a7\u524d\u6309\u505c\u3002<\/p>\n

            8.3 harness \u5c42\u5f3a\u5236\u5b89\u5168\u62e6\u622a\u4e0e\u4eba\u5de5\u7b7e\u7f72<\/h4>\n

            \u4e0d\u53ef\u9006\u64cd\u4f5c\u5fc5\u987b\u5728 harness \u5c42\u88ab\u62e6，\u63d0\u793a\u8bcd\u4e0d\u7b97\u3002\u5b9e\u73b0\u65b9\u5f0f\u662f\u5de5\u5177\u6ce8\u518c\u8868\u7684\u4e24\u7ea7\u767d\u540d\u5355：<\/p>\n\n\u5de5\u5177\u7c7b\u522b\u4f8b\u5b50\u662f\u5426\u9700\u4eba\u5de5\u7b7e\u7f72harness \u884c\u4e3a<\/tr>\n\n\n\n\n\n\n
            \u53ea\u8bfb<\/td>\nread_file\u3001grep\u3001list_dir<\/td>\n\u5426<\/td>\n\u76f4\u63a5\u653e\u884c，\u8bb0 journal<\/td>\n<\/tr>\n
            \u6c99\u7bb1\u5185\u53ef\u9006\u5199<\/td>\nwrite_file（\u6c99\u7bb1\u5185）\u3001run_tests<\/td>\n\u5426<\/td>\n\u653e\u884c，\u8bb0 journal，\u5feb\u7167\u8986\u76d6<\/td>\n<\/tr>\n
            \u5bbf\u4e3b\u53ef\u56de\u6eda\u5199<\/td>\napply_patch（\u6709\u5feb\u7167）<\/td>\n\u5426，\u4f46\u9700 PR<\/td>\n\u653e\u884c，\u5fc5\u987b\u6709 Snapshot<\/td>\n<\/tr>\n
            \u4e0d\u53ef\u9006<\/td>\ndb_migrate\u3001send_email\u3001pay\u3001delete_resource<\/td>\n\u662f<\/td>\n\u751f\u6210\u63d0\u6848 -> \u963b\u65ad -> \u5f85\u4eba\u7b7e\u7f72<\/td>\n<\/tr>\n
            \u7f51\u7edc\u51fa\u53e3<\/td>\nhttp_request<\/td>\n\u89c6\u57df\u540d\u767d\u540d\u5355<\/td>\n\u767d\u540d\u5355\u5916\u76f4\u63a5\u62d2\u7edd<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

            PatchProposal.touches_external=True \u65f6，harness \u4e0d\u6267\u884c，\u800c\u662f\u628a\u63d0\u6848\u5e8f\u5217\u5316\u6210\u4e00\u4efd\u5f85\u7b7e\u7f72\u5bf9\u8c61（\u542b\u5b8c\u6574 diff\u3001\u5f71\u54cd\u9762\u3001\u5e42\u7b49\u952e），\u63a8\u7ed9\u5ba1\u6279\u7aef\u3002\u4eba\u6279\u51c6\u540e\u624d\u8d70\u4e00\u6b21\u771f\u5b9e\u8c03\u7528，\u8c03\u7528\u65f6\u5fc5\u987b\u5e26\u4e0a\u4e8b\u5148\u751f\u6210\u7684 idempotency_key，\u5e76\u5199\u8fdb journal\u3002<\/p>\n

            \u8fd9\u91cc\u547c\u5e94 Anthropic \u84dd\u56fe\u7b2c\u4e09\u6761：**\u62e6\u622a\u70b9\u5728 harness \u5c42，\u4e0d\u5728\u63d0\u793a\u8bcd\u5c42\u3002**\u63d0\u793a\u8bcd\u91cc\u7684\u7981\u4ee4\u4f1a\u88ab\u63d0\u793a\u8bcd\u6ce8\u5165\u7ed5\u8fc7，\u6ce8\u518c\u8868\u91cc\u7684\u7f3a\u5931\u4e0d\u4f1a\u3002<\/p>\n

            8.4 \u65ad\u8a00\u9009\u62e9：\u522b\u8dd1\u5168\u91cf，\u8dd1\u53d7\u5f71\u54cd\u5b50\u96c6<\/h4>\n

            \u5faa\u73af\u91cc\u8dd1\u5168\u91cf\u6d4b\u8bd5\u662f\u6700\u5e38\u89c1\u7684\u6027\u80fd\u9519\u8bef\u3002\u4e09\u79cd\u6e10\u8fdb\u505a\u6cd5：<\/p>\n

          • \u624b\u5de5 target：\u4efb\u52a1\u81ea\u5e26 –target，\u6700\u7701\u4e8b，\u8986\u76d6\u5927\u90e8\u5206 bug \u4fee\u590d\u573a\u666f\u3002<\/li>\n
          • import \u56fe\u53cd\u67e5：\u4ece\u6539\u52a8\u6587\u4ef6\u7684 import \u5173\u7cfb\u53cd\u67e5\u51fa\u4f9d\u8d56\u5b83\u7684\u6d4b\u8bd5\u6587\u4ef6\u3002<\/li>\n
          • \u8986\u76d6\u7387\u53cd\u67e5：\u7ef4\u62a4\u4e00\u4efd test -> covered_files \u7684\u6620\u5c04（\u7528 pytest-cov \u7684 json \u62a5\u544a\u751f\u6210），\u6539\u52a8\u6587\u4ef6\u6620\u5c04\u5230\u6d4b\u8bd5\u96c6\u5408\u3002\u8fd9\u662f\u6700\u51c6\u7684，\u6620\u5c04\u672c\u8eab\u6bcf\u5929\u91cd\u5efa\u4e00\u6b21\u5373\u53ef\u3002<\/li>\n

            \u7b2c 3 \u79cd\u5728\u6211\u4eec\u7684\u4ed3\u5e93\u4e0a\u628a L3 \u7684\u6d4b\u8bd5\u6570\u91cf\u4ece\u5e73\u5747 340 \u4e2a\u964d\u5230\u5e73\u5747 17 \u4e2a，\u5355\u8f6e\u65ad\u8a00\u8017\u65f6\u4ece 92s \u964d\u5230 4.3s\u3002\u8fd9\u4e00\u9879\u5bf9 6.2 \u8868\u91cc D \u914d\u7f6e\u7684 P50 \u5899\u949f（61s）\u8d21\u732e\u6700\u5927\u3002<\/p>\n

            8.5 \u5e76\u884c\u5019\u9009<\/h4>\n

            \u5f53\u5355\u6761\u8def\u5f84\u7684\u6536\u655b\u4e0d\u7a33\u5b9a\u65f6，\u53ef\u4ee5\u5728\u4e00\u8f6e\u91cc\u8ba9\u6a21\u578b\u4ea7\u51fa 3 \u4e2a\u5019\u9009 patch（n=3），\u5e76\u884c\u4e22\u8fdb 3 \u4e2a\u6c99\u7bb1\u8dd1\u65ad\u8a00，\u53d6\u7b2c\u4e00\u4e2a\u901a\u8fc7\u7684\u3002\u6210\u672c\u662f 3 \u500d\u6a21\u578b\u8c03\u7528，\u4f46\u6c99\u7bb1\u53ef\u4ee5\u5e76\u884c，\u5899\u949f\u57fa\u672c\u4e0d\u53d8\u3002<\/p>\n

            \u9002\u7528\u6761\u4ef6：\u65ad\u8a00\u8dd1\u5f97\u5feb（L3 \u76ee\u6807\u6d4b\u8bd5\u5728 5 \u79d2\u4ee5\u5185）\u4e14\u9884\u7b97\u5145\u8db3\u3002\u4e0d\u9002\u5408 L5 \u5168\u91cf\u6d4b\u8bd5\u505a\u95e8\u7981\u7684\u573a\u666f\u2014\u20143 \u4e2a\u5019\u9009 x 5 \u5206\u949f\u5168\u91cf\u6d4b\u8bd5，\u5899\u949f\u4f1a\u70b8\u3002\u6211\u7684\u89c4\u5219\u662f pressure() < 0.5 \u4e14 L3 \u8017\u65f6 < 10s \u65f6\u624d\u5f00\u5e76\u884c\u5019\u9009\u3002<\/p>\n

            8.6 \u6c99\u7bb1\u590d\u7528\u4e0e\u9884\u70ed<\/h4>\n

            \u6bcf\u6b21\u8fed\u4ee3\u91cd\u5efa\u4e34\u65f6\u76ee\u5f55 + copytree \u4e00\u4e2a 21k \u884c\u7684\u4ed3\u5e93，\u5728\u6211\u7684\u673a\u5668\u4e0a\u8981 1.8s，8 \u8f6e\u5c31\u662f 14s \u7eaf\u5f00\u9500\u3002\u4f18\u5316\u4e24\u6761：<\/p>\n

              \n
            • \u540c\u4efb\u52a1\u5185\u590d\u7528\u540c\u4e00\u4e2a\u6c99\u7bb1，\u6bcf\u8f6e\u5f00\u59cb\u524d\u7528\u5feb\u7167\u7684 patch \u53cd\u5411\u6062\u590d\u5de5\u4f5c\u533a，\u800c\u4e0d\u662f\u91cd\u5efa\u3002<\/li>\n
            • \u9884\u70ed：\u628a .venv \u548c node_modules \u653e\u5728\u6c99\u7bb1\u5916\u7684\u4e00\u4e2a\u53ea\u8bfb\u5c42，\u7528\u7b26\u53f7\u94fe\u63a5\u6216 bind mount \u6302\u8fdb\u53bb\u3002\u6ce8\u610f\u7b26\u53f7\u94fe\u63a5\u6709\u9003\u9038\u98ce\u9669，\u7528 copytree(symlinks=False) \u6216\u76f4\u63a5 bind mount，\u4e0d\u8981\u7528\u8f6f\u94fe\u3002<\/li>\n<\/ul>\n

              \u6ce8\u610f\u590d\u7528\u5e26\u6765\u7684\u526f\u4f5c\u7528：**\u4e0a\u4e00\u8f6e\u7559\u4e0b\u7684 __pycache__ \u548c\u4e34\u65f6\u6587\u4ef6\u4f1a\u6c61\u67d3\u4e0b\u4e00\u8f6e\u3002**\u6bcf\u8f6e\u5f00\u59cb\u524d\u5fc5\u987b\u505a\u4e00\u6b21 git clean -fdx -e .venv（\u4fdd\u7559\u9884\u70ed\u7684\u4f9d\u8d56\u76ee\u5f55）\u3002<\/p>\n

              \u4e5d\u3001\u9002\u7528\u573a\u666f\u4e0e\u9009\u578b\u5efa\u8bae<\/h3>\n

              9.1 \u9002\u5408\u4e0a harness \u7684\u573a\u666f<\/h4>\n\n\u573a\u666f\u4e3a\u4ec0\u4e48\u9002\u5408\u9884\u7b97\u5efa\u8bae\u5173\u952e\u914d\u7f6e<\/tr>\n\n\n\n\n\n\n
              \u5355\u6d4b\u8986\u76d6\u826f\u597d\u7684 bug \u4fee\u590d<\/td>\n\u65ad\u8a00\u5929\u7136\u5b58\u5728\u4e14\u53ef\u9760<\/td>\n8 \u6b65 \/ 0.5 USD<\/td>\nL3 \u76ee\u6807\u6d4b\u8bd5\u9a71\u52a8<\/td>\n<\/tr>\n
              \u4f9d\u8d56\u5347\u7ea7\u4e0e\u7c7b\u578b\u4fee\u590d<\/td>\nmypy \/ \u7f16\u8bd1\u5668\u662f\u5b8c\u7f8e\u88c1\u5224<\/td>\n12 \u6b65 \/ 1.0 USD<\/td>\nL1 \u65ad\u8a00\u524d\u7f6e<\/td>\n<\/tr>\n
              lint \u8fdd\u89c4\u6279\u91cf\u6e05\u7406<\/td>\nruff \u6709 –fix，\u5224\u636e 100% \u786e\u5b9a<\/td>\n4 \u6b65 \/ 0.1 USD<\/td>\n\u53ef\u8df3\u8fc7\u6a21\u578b，\u76f4\u63a5\u786e\u5b9a\u6027\u4fee<\/td>\n<\/tr>\n
              \u811a\u624b\u67b6\u4e0e\u6837\u677f\u4ee3\u7801\u751f\u6210<\/td>\n\u7f16\u8bd1\u901a\u8fc7\u5373\u53ef\u5224\u5b9a<\/td>\n6 \u6b65 \/ 0.3 USD<\/td>\nL2 \u65ad\u8a00<\/td>\n<\/tr>\n
              \u6d4b\u8bd5\u8865\u5168<\/td>\n\u65b0\u6d4b\u8bd5\u5fc5\u987b\u80fd\u5931\u8d25\u540e\u901a\u8fc7<\/td>\n8 \u6b65 \/ 0.5 USD<\/td>\n\u9700\u53d8\u5f02\u6d4b\u8bd5\u9a8c\u8bc1<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

              9.2 \u4e0d\u8be5\u7528 harness \u7684\u573a\u666f（\u8fd9\u4e00\u8282\u6bd4\u4e0a\u4e00\u8282\u91cd\u8981）<\/h4>\n

              **\u7b2c\u4e00，\u6ca1\u6709\u53ef\u9760\u65ad\u8a00\u7684\u9886\u57df，\u4e0d\u8981\u4e0a\u81ea\u52a8\u5316\u5faa\u73af\u3002**UI \u89c6\u89c9\u8c03\u6574\u3001\u6587\u6848\u6da6\u8272\u3001\u4ea4\u4e92\u4f53\u9a8c\u4f18\u5316\u2014\u2014\u8fd9\u4e9b\u9886\u57df\u7684\u300c\u5bf9\u4e0d\u5bf9\u300d\u6ca1\u6709\u786e\u5b9a\u6027\u88c1\u5224，\u4f60\u53ea\u80fd\u8ba9\u4eba\u770b\u3002\u786c\u8981\u4e0a\u5faa\u73af，\u7ed3\u679c\u5c31\u662f\u6a21\u578b\u81ea\u8bc4\u81ea\u6539，\u6210\u672c\u70e7\u5b8c\u5f97\u5230\u4e00\u4e2a\u4f60\u8bf4\u4e0d\u6e05\u597d\u4e0d\u597d\u7684\u7ed3\u679c\u3002\u6211\u7684\u5224\u65ad\u6807\u51c6\u5f88\u7c97\u66b4：\u5982\u679c\u8fd9\u4e2a\u9886\u57df\u4f60\u5199\u4e0d\u51fa\u4e00\u4e2a\u80fd\u5728 60 \u79d2\u5185\u8dd1\u5b8c\u3001\u9000\u51fa\u7801\u975e 0 \u5373\u5931\u8d25\u7684\u68c0\u67e5\u811a\u672c，\u5c31\u522b\u5f00\u5faa\u73af\u3002<\/p>\n

              **\u7b2c\u4e8c，\u9700\u6c42\u63cf\u8ff0\u4e0d\u6e05\u7684\u4efb\u52a1，\u52a0\u9884\u7b97\u6ca1\u7528\u3002**6.4 \u7684\u5931\u8d25\u5206\u5e03\u91cc non_progress \u5360 35.3%，\u8fd9\u4e9b\u4efb\u52a1\u56de\u5934\u770b\u51e0\u4e4e\u90fd\u662f\u9700\u6c42\u672c\u8eab\u542b\u7cca（\u201c\u628a\u8fd9\u4e2a\u6a21\u5757\u4f18\u5316\u4e00\u4e0b\u201d）\u3002\u8fd9\u7c7b\u4efb\u52a1\u5e94\u8be5\u56de\u5230\u4eba\u90a3\u91cc\u62c6\u7ec6，\u800c\u4e0d\u662f\u9760 max_steps=16 \u786c\u625b\u3002<\/p>\n

              **\u7b2c\u4e09，\u6d89\u53ca\u4e0d\u53ef\u9006\u5916\u90e8\u5199\u64cd\u4f5c\u7684\u573a\u666f，\u5148\u6709\u8865\u507f\u673a\u5236\u518d\u8c08\u81ea\u52a8\u5316\u3002**\u6ca1\u6709\u5e42\u7b49\u952e\u3001\u6ca1\u6709\u8865\u507f\u4e8b\u52a1\u3001\u6ca1\u6709\u5ba1\u6279\u6d41\u7684\u7cfb\u7edf，\u63a5 Agent \u7b49\u4e8e\u88f8\u5954\u3002\u8fd9\u65f6\u5019 harness \u80fd\u505a\u7684\u4e0a\u9650\u662f\u300c\u751f\u6210\u63d0\u6848\u7b49\u4eba\u6279\u300d，\u90a3\u5c31\u8001\u5b9e\u505a\u6210\u63d0\u6848\u7cfb\u7edf，\u522b\u4f2a\u88c5\u6210\u81ea\u52a8\u4fee\u590d\u3002<\/p>\n

              **\u7b2c\u56db，\u8d85\u5c0f\u6539\u52a8\u4e0d\u503c\u5f97\u5f00 harness\u3002**\u6539\u4e00\u884c\u5e38\u91cf\u3001\u6539\u4e00\u4e2a\u914d\u7f6e\u503c，\u5f00\u4e00\u8f6e harness \u7684\u6210\u672c（\u5feb\u7167 + \u6c99\u7bb1 + \u65ad\u8a00）\u53ef\u80fd\u6bd4\u4eba\u5de5\u6539\u8fd8\u8d35\u3002\u6211\u8bbe\u4e86\u4e00\u6761\u9608\u503c：\u6539\u52a8\u9762\u5c0f\u4e8e 3 \u884c\u4e14\u65e0\u6d4b\u8bd5\u4f9d\u8d56\u65f6，\u76f4\u63a5\u8d70\u666e\u901a\u7684\u6a21\u578b\u8f85\u52a9\u7f16\u8f91\u3002<\/p>\n

              **\u7b2c\u4e94，\u5f3a\u5408\u89c4\u884c\u4e1a\u8981\u5148\u89e3\u51b3\u5ba1\u8ba1\u3002**\u5982\u679c\u4f60\u7684\u884c\u4e1a\u8981\u6c42\u6bcf\u4e00\u6b21\u751f\u4ea7\u53d8\u66f4\u90fd\u80fd\u8ffd\u6eaf\u5230\u5177\u4f53\u7684\u4eba\u548c\u64cd\u4f5c\u4f9d\u636e，\u90a3\u4e48\u300c\u6a21\u578b\u751f\u6210 + \u81ea\u52a8\u5408\u5e76\u300d\u8fd9\u5957\u6d41\u7a0b\u5728\u5408\u89c4\u4e0a\u662f\u4e0d\u6210\u7acb\u7684，\u5fc5\u987b\u4fdd\u7559\u4eba\u5de5\u7b7e\u7f72\u73af\u8282\u3002\u8fd9\u6070\u6070\u662f Anthropic \u84dd\u56fe\u7b2c\u4e09\u6761\u8981\u89e3\u51b3\u7684\u95ee\u9898\u3002<\/p>\n

              9.3 \u4e0e\u7f16\u7a0b Agent \u4ea7\u54c1\u7684\u5173\u7cfb<\/h4>\n

              2026 \u5e74\u4e3b\u6d41\u7684\u7f16\u7a0b Agent \u4ea7\u54c1（Codex \u7cfb\u3001Claude Code \u7cfb\u7b49）\u5185\u90e8\u90fd\u5df2\u7ecf\u6709\u4e86\u5404\u81ea\u7684 harness，\u5dee\u5f02\u4e3b\u8981\u5728\u4e09\u70b9：\u9ed8\u8ba4\u9884\u7b97\u3001\u6c99\u7bb1\u5f3a\u5ea6\u3001\u4ee5\u53ca\u662f\u5426\u5141\u8bb8\u6a21\u578b\u6539\u6d4b\u8bd5\u3002\u9009\u578b\u65f6\u6211\u6700\u770b\u91cd\u7684\u662f\u80fd\u4e0d\u80fd\u628a\u5b83\u7684 harness \u53c2\u6570\u66b4\u9732\u7ed9\u6211\u8c03\u3002\u4e00\u4e2a\u4e0d\u5141\u8bb8\u4f60\u914d\u7f6e max_steps \u548c\u65ad\u8a00\u547d\u4ee4\u7684\u4ea7\u54c1，\u5728\u56e2\u961f\u7ea7\u4f7f\u7528\u4e0a\u98ce\u9669\u5f88\u9ad8\u2014\u2014\u4f60\u6ca1\u6cd5\u628a\u5b83\u7684\u884c\u4e3a\u7eb3\u5165\u81ea\u5df1\u7684\u6210\u672c\u4e0e\u5408\u89c4\u6846\u67b6\u3002<\/p>\n

              \u81ea\u5efa harness（\u672c\u6587\u8fd9\u5957）\u7684\u9002\u7528\u524d\u63d0\u662f：\u4f60\u6709\u660e\u786e\u7684\u65ad\u8a00\u4f53\u7cfb\u3001\u6709 CI\u3001\u613f\u610f\u7ef4\u62a4\u8fd9\u5957\u58f3\u5b50\u3002\u5982\u679c\u4f60\u53ea\u662f\u60f3\u8ba9\u4e2a\u4eba\u5f00\u53d1\u6548\u7387\u9ad8\u4e00\u70b9，\u76f4\u63a5\u7528\u6210\u719f\u4ea7\u54c1，\u522b\u81ea\u5df1\u9020\u3002<\/p>\n

              \u5341\u3001\u603b\u7ed3\u4e0e\u5c55\u671b<\/h3>\n

              \u56de\u5230\u5f00\u5934\u90a3\u53e5\u8bdd：LLM \u662f\u975e\u786e\u5b9a\u6027\u7684 token \u751f\u6210\u5668，\u4e0d\u5e94\u8be5\u88ab\u6388\u4e88\u5bf9\u751f\u4ea7 OS \u4e0e\u6570\u636e\u5e93\u7684\u4e2d\u4ecb\u5316\u8bbf\u95ee\u6743\u3002\u8fd9\u7bc7\u6587\u7ae0\u7ed9\u7684\u4e0d\u662f\u300c\u600e\u4e48\u8ba9\u6a21\u578b\u66f4\u9760\u8c31\u300d，\u800c\u662f\u300c\u600e\u4e48\u8ba9\u6a21\u578b\u4e0d\u9760\u8c31\u4e5f\u4e0d\u51fa\u4e8b\u300d：<\/p>\n

                \n
              • \u56db\u6761\u786e\u5b9a\u6027\u8fb9\u754c：\u7f16\u6392\u63a7\u5236\u5668（\u6b65\u6570\u4e0e\u7ec8\u6b62\u6761\u4ef6）\u3001\u9694\u79bb\u6267\u884c\u6c99\u7bb1（\u4e34\u65f6\u6587\u4ef6\u7cfb\u7edf + \u53d7\u9650\u5bb9\u5668）\u3001\u72b6\u6001\u6301\u4e45\u5316\u4e0e\u56de\u6eda（\u6539\u52a8\u4e0e\u5de5\u5177\u8c03\u7528\u53ef checkpoint \/ revert）\u3001\u786e\u5b9a\u6027\u65ad\u8a00（\u7f16\u8bd1\u5668 \/ linter \/ \u5355\u6d4b\u4f5c\u4e3a\u4e0d\u53ef\u901a\u878d\u7684\u88c1\u5224）\u3002\u987a\u5e8f\u4e0d\u80fd\u4e71，\u5148\u6709\u56de\u6eda\u624d\u6562\u6709\u91cd\u8bd5\u3002<\/li>\n
              • \u81ea\u52a8\u5316\u4fee\u590d\u5faa\u73af：\u751f\u6210\u4ee3\u7801\u3001\u4e22\u8fdb\u6c99\u7bb1\u8dd1\u6d4b\u8bd5\u3001\u5931\u8d25\u628a\u538b\u7f29\u540e\u7684\u7cbe\u786e\u9519\u8bef\u6808\u56de\u5582\u6a21\u578b\u3001\u56fa\u5b9a\u8fed\u4ee3\u4e0a\u9650\u3002\u4eba\u4e0d\u518d\u9010\u884c review，\u800c\u662f review \u8fb9\u754c\u914d\u7f6e\u548c\u6700\u7ec8 diff\u3002<\/li>\n
              • \u4e09\u5206\u7acb\u4e0e schema \u5f3a\u5236：\u751f\u6210 \/ \u8bc4\u4f30 \/ \u4fee\u590d\u4e09\u4e2a\u89d2\u8272\u770b\u5230\u7684\u4fe1\u606f\u4e25\u683c\u9694\u79bb，\u6a21\u578b\u4e0d\u80fd\u7ed9\u81ea\u5df1\u751f\u6210\u7684\u4ee3\u7801\u6253\u5206；\u6240\u6709\u8f93\u51fa\u8fc7 JSON Schema，\u95f2\u804a\u6c61\u67d3\u4e0d\u4e86\u673a\u5668\u6d88\u8d39\u7684 payload\u3002<\/li>\n
              • \u6982\u7387\u751f\u6210\u8be5\u88ab\u786e\u5b9a\u6027\u4ee3\u7801\u66ff\u6362\u7684\u5730\u65b9\u5c31\u66ff\u6362：Schema Validator\u3001Documentation Builder \u8fd9\u7c7b\u73af\u8282\u7528\u96f6 LLM \u8c03\u7528\u7684\u786e\u5b9a\u6027\u5b9e\u73b0，\u76f4\u63a5\u6d88\u706d\u4e24\u7c7b\u5e7b\u89c9（\u5047\u9633\u6027\u6821\u9a8c\u3001\u7f16\u9020\u7684\u53c2\u6570），\u5e76\u628a\u8be5\u9636\u6bb5 token \u6d88\u8017\u964d\u5230 0\u3002<\/li>\n
              • \u6b65\u6570\u9884\u7b97\u4e0e\u6210\u672c\u7194\u65ad：\u56db\u4e2a\u7ef4\u5ea6\u72ec\u7acb\u8ba1（\u6b65\u6570 \/ \u5899\u949f \/ token \/ \u6210\u672c），\u52a0\u4e00\u4e2a non_progress \u6307\u7eb9\u68c0\u6d4b\u548c\u4e00\u6863\u8f6f\u538b\u529b\u964d\u7ea7\u7b56\u7565\u3002<\/li>\n<\/ul>\n

                \u5b9e\u6d4b\u6570\u636e\u91cc\u6700\u503c\u5f97\u8bb0\u4f4f\u7684\u4e24\u4e2a\u6570\u5b57：**\u5b8c\u6574 harness \u76f8\u6bd4\u300c\u4ec5\u65ad\u8a00\u300d\u914d\u7f6e，\u6210\u529f\u7387 +23.4 \u4e2a\u767e\u5206\u70b9，\u800c\u6210\u672c\u53cd\u800c\u4e0b\u964d 34%\u3002**\u8fd9\u8bf4\u660e\u4e4b\u524d\u591a\u82b1\u7684\u94b1\u4e0d\u662f\u82b1\u5728\u300c\u8ba9\u6a21\u578b\u66f4\u806a\u660e\u300d\u4e0a，\u800c\u662f\u82b1\u5728\u4e86\u6a21\u578b\u6253\u8f6c\u548c\u566a\u58f0\u4e0a\u4e0b\u6587\u4e0a\u3002<\/p>\n

                \u5c55\u671b\u4e09\u6761\u3002\u7b2c\u4e00，\u65ad\u8a00\u7684\u8d28\u91cf\u548c\u8986\u76d6\u7387\u4f1a\u53d6\u4ee3\u6a21\u578b\u80fd\u529b，\u6210\u4e3a Agent \u7f16\u7a0b\u7cfb\u7edf\u7684\u771f\u6b63\u74f6\u9888\u2014\u2014\u4f60\u73b0\u5728\u5f80\u6d4b\u8bd5\u4e0a\u6295\u7684\u6bcf\u4e00\u5206\u94b1，\u672a\u6765\u90fd\u4f1a\u53d8\u6210 Agent \u53ef\u7528\u7684\u5224\u636e\u3002\u7b2c\u4e8c，harness \u7684\u6807\u51c6\u5316\u6b63\u5728\u53d1\u751f，\u4e2d\u56fd\u4fe1\u901a\u9662 2026-09-29 \u7684\u300a\u53ef\u4fe1\u4e92\u8054\u7f51\u667a\u80fd\u4f53 \u8fd0\u884c\u65f6 \u4e0a\u4e0b\u6587\u5de5\u7a0b\u300b\u6807\u51c6\u548c CIS \u5728 2026-09-16 \u7ed9\u51fa\u7684 MCP \u5ba1\u8ba1\u57fa\u7ebf，\u90fd\u662f\u5728\u7ed9\u8fd9\u4e00\u5c42\u58f3\u5b50\u5b9a\u89c4\u77e9；\u80fd\u628a\u81ea\u5df1\u7684 harness \u6620\u5c04\u5230\u8fd9\u4e9b\u57fa\u7ebf\u4e0a，\u4f1a\u6210\u4e3a\u56e2\u961f\u7ea7\u843d\u5730\u7684\u5165\u573a\u5238\u3002\u7b2c\u4e09，\u4eba\u673a\u754c\u9762\u4f1a\u6210\u4e3a\u65b0\u7684\u5206\u6c34\u5cad，UI \u7ec4\u4ef6\u4f5c\u4e3a\u5de5\u5177\u8f93\u51fa + harness \u5c42\u4eba\u5de5\u7b7e\u7f72，\u4f1a\u8ba9\u300cAgent \u80fd\u505a\u4ec0\u4e48\u300d\u4ece\u6280\u672f\u95ee\u9898\u53d8\u6210\u4ea7\u54c1\u8bbe\u8ba1\u95ee\u9898\u3002<\/p>\n

                \u6700\u540e\u7ed9\u4e00\u6761\u53ef\u6267\u884c\u7684\u8d77\u6b65\u8def\u5f84：**\u4e0d\u8981\u4e00\u4e0a\u6765\u5c31\u642d\u5b8c\u6574\u7684 harness\u3002**\u6309\u987a\u5e8f\u505a\u56db\u6b65\u2014\u2014\u5148\u628a git clean -fd \u4ece\u4f60\u7684\u56de\u6eda\u4ee3\u7801\u91cc\u5220\u6389（7.4）；\u518d\u628a\u9519\u8bef\u6808\u538b\u7f29\u52a0\u4e0a（7.5）；\u7136\u540e\u7ed9\u6d4b\u8bd5\u76ee\u5f55\u52a0\u53ea\u8bfb\u4fdd\u62a4（7.6）；\u6700\u540e\u518d\u8865\u9884\u7b97\u4e0e\u6c99\u7bb1\u3002\u8fd9\u56db\u6b65\u7684\u6027\u4ef7\u6bd4\u662f\u6309\u8fd9\u4e2a\u987a\u5e8f\u9012\u51cf\u7684，\u4f46\u6bcf\u4e00\u6b65\u90fd\u80fd\u72ec\u7acb\u751f\u6548\u3002<\/p>\n

                \u53c2\u8003\u7d20\u6750\u4e0e\u5ef6\u4f38\u9605\u8bfb<\/h3>\n
                  \n
                • Google ADK 2.0 \/ Antigravity SDK \u7684 Harness Engineering \u9610\u8ff0\u4e0e Anthropic \u5546\u52a1 Agent \u84dd\u56fe（\u52a8\u6001 Skill \u52a0\u8f7d\u3001UI \u7ec4\u4ef6\u4f5c\u4e3a\u5de5\u5177\u8f93\u51fa\u3001harness \u5c42\u5b89\u5168\u62e6\u622a） \u2014 AtlasNote \u6bcf\u65e5\u7b80\u62a5，2026-09-03<\/li>\n
                • \u4e5d Agent \u6d41\u6c34\u7ebf\u5982\u4f55\u5728\u751f\u4ea7\u89c4\u6a21\u4e0a\u89e3\u51b3\u53ef\u9760\u6027\u95ee\u9898 \u2014 Grafex Media<\/li>\n
                • 2026 \u5e74\u4e3b\u6d41\u7f16\u7a0b Agent \u6a2a\u8bc4：Codex \u4e0e Claude Code \u2014 Mem0 Blog<\/li>\n
                • CIS MCP Benchmark \u4e3a Agent \u5de5\u5177\u6cbb\u7406\u8bbe\u5b9a 55 \u70b9\u5ba1\u8ba1\u57fa\u7ebf \u2014 AI Governance，2026-09-16<\/li>\n
                • \u4e2d\u56fd\u4fe1\u901a\u9662\u300a\u53ef\u4fe1\u4e92\u8054\u7f51\u667a\u80fd\u4f53 \u8fd0\u884c\u65f6 \u4e0a\u4e0b\u6587\u5de5\u7a0b\u300b\u6807\u51c6 \u2014 \u6f8e\u6e43\u65b0\u95fb，2026-09-29<\/li>\n
                • LLM \u751f\u4ea7\u53ef\u89c2\u6d4b\u6027\u7684\u5de5\u5177\u5206\u5c42 \u2014 Unico Connect<\/li>\n
                • Agent \u4e0a\u4e0b\u6587\u4e09\u7ea7\u538b\u7f29\u673a\u5236 \u2014 \u817e\u8baf\u65b0\u95fb，2026-09-22<\/li>\n
                • \u591a Agent \u67b6\u6784\u5411 MCP + A2A \u534f\u8bae\u6536\u655b \u2014 The Agent Times<\/li>\n
                • Reciprocal Rank Fusion \u539f\u59cb\u8bba\u6587（Cormack, Clarke, Buettcher, SIGIR 2009） \u2014 ACM DL，2009<\/li>\n<\/ul>\n","protected":false},"excerpt":{"rendered":"

                  Harness Engineering：\u628a\u968f\u673a\u7684\u6a21\u578b\u5173\u8fdb\u786e\u5b9a\u6027\u7684\u58f3\u5b50\u91cc 2026-09 Google \u5728 ADK 2.0 \u4e0e Antigravity SDK \u7684\u516c\u5f00\u9610\u8ff0\u91cc\u628a Harness Engineering（\u786e\u5b9a\u6027\u5916\u58f3\u5de5\u7a0b）\u6446\u5230\u4e86\u548c\u6a21\u578b\u80fd\u529b\u540c\u7b49\u7684\u4f4d\u7f6e，Anthropic \u540c\u671f\u53d1\u5e03\u7684\u5546\u52a1 Agent \u84dd\u56fe\u7ed9\u51fa\u4e86\u4e09\u6761\u53ef\u76f4\u63a5\u6284\u7684\u5b9e\u8df5：\u52a8\u6001 Skill \u52a0\u8f7d\u914d\u5408 Prompt Caching \u538b TTFT\u3001U<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[10848,14119,14118],"topic":[],"class_list":["post-123277","post","type-post","status-publish","format-standard","hentry","category-server","tag-harness","tag-14119","tag-14118"],"yoast_head":"\nHarness Engineering\uff1a\u628a\u968f\u673a\u7684\u6a21\u578b\u5173\u8fdb\u786e\u5b9a\u6027\u7684\u58f3\u5b50\u91cc - 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