{"id":110234,"date":"2026-09-26T11:10:21","date_gmt":"2026-09-26T03:10:21","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/110234.html"},"modified":"2026-09-26T11:10:21","modified_gmt":"2026-09-26T03:10:21","slug":"%e3%80%90%e5%a4%af%e7%88%86%e4%ba%86%ef%bc%81%e5%a4%9a%e6%99%ba%e8%83%bd%e4%bd%93%e5%a4%a7%e6%a8%a1%e5%9e%8b%e6%af%95%e4%b8%9a%e8%ae%be%e8%ae%a1%e3%80%91langgraph%e5%a4%9aagent%e5%8d%8f%e4%bd%9c","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/110234.html","title":{"rendered":"\u3010\u592f\u7206\u4e86\uff01\u591a\u667a\u80fd\u4f53\u5927\u6a21\u578b\u6bd5\u4e1a\u8bbe\u8ba1\u3011LangGraph+\u591aAgent\u534f\u4f5c\u7f16\u6392\u7684\u9ad8\u8003\u5fd7\u613f\u586b\u62a5\u63a8\u8350\u7cfb\u7edf(\u722c\u866b+\u5927\u5c4f\u53ef\u89c6\u5316+\u5fd7\u613f\u586b\u62a5\u52a9\u624b+\u667a\u80fd\u63a8\u8350)-\u8ba1\u7b97\u673a\u6bd5\u4e1a\u8bbe\u8ba1"},"content":{"rendered":"

\u6e29\u99a8\u63d0\u793a：\u672c\u4eba\u4e3b\u9875\u7f6e\u9876\u6587\u7ae0(\u70b9\u6211)\u5f00\u5934\u6709 CSDN \u5e73\u53f0\u5b98\u65b9\u63d0\u4f9b\u7684\u5b66\u957f\u8054\u7cfb\u65b9\u5f0f\u7684\u540d\u7247！<\/span><\/p>\n

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\n

\u6280\u672f\u8303\u56f4：SpringBoot\u3001Vue\u3001\u722c\u866b\u3001\u6570\u636e\u53ef\u89c6\u5316\u3001\u5c0f\u7a0b\u5e8f\u3001\u5b89\u5353APP\u3001\u5927\u6570\u636e\u3001\u77e5\u8bc6\u56fe\u8c31\u3001\u673a\u5668\u5b66\u4e60\u3001Hadoop\u3001Spark\u3001Hive\u3001\u5927\u6a21\u578b\u3001\u4eba\u5de5\u667a\u80fd\u3001Python\u3001\u6df1\u5ea6\u5b66\u4e60\u3001\u4fe1\u606f\u5b89\u5168\u3001\u7f51\u7edc\u5b89\u5168\u7b49\u8bbe\u8ba1\u4e0e\u5f00\u53d1\u3002<\/span><\/p>\n

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🍅\u672c\u4eba\u4e3b\u9875\u7f6e\u9876\u6587\u7ae0(\u70b9\u6211)\u5f00\u5934\u6709 CSDN \u5e73\u53f0\u5b98\u65b9\u63d0\u4f9b\u7684\u5b66\u957f\u8054\u7cfb\u65b9\u5f0f\u7684\u540d\u7247🍅<\/span><\/p>\n

🍅<\/span>\u672c\u4eba\u4e3b\u9875\u7f6e\u9876\u6587\u7ae0(\u70b9\u6211)\u5f00\u5934\u6709 CSDN \u5e73\u53f0\u5b98\u65b9\u63d0\u4f9b\u7684\u5b66\u957f\u8054\u7cfb\u65b9\u5f0f\u7684\u540d\u7247<\/span>🍅<\/span><\/p>\n

🍅<\/span>\u672c\u4eba\u4e3b\u9875\u7f6e\u9876\u6587\u7ae0(\u70b9\u6211)\u5f00\u5934\u6709 CSDN \u5e73\u53f0\u5b98\u65b9\u63d0\u4f9b\u7684\u5b66\u957f\u8054\u7cfb\u65b9\u5f0f\u7684\u540d\u7247<\/span>🍅<\/span><\/p>\n

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\"\"<\/p>\n

\u4ecb\u7ecd\u8d44\u6599<\/span><\/h2>\n

\u4e00\u3001\u9879\u76ee\u6982\u8ff0<\/h3>\n

1.1 \u9879\u76ee\u80cc\u666f<\/h4>\n

2026 \u5e74\u5168\u56fd\u9ad8\u8003\u62a5\u540d\u4eba\u6570\u4e3a \u200c1290 \u4e07\u4eba\u200c，\u6bd4 2025 \u5e74\u7684 1335 \u4e07\u51cf\u5c11 45 \u4e07（\u6559\u80b2\u90e8 2026 \u5e74 6 \u6708 3 \u65e5\u53d1\u5e03）\u3002\u9664\u65b0\u7586\u3001\u897f\u85cf\u5916，\u5168\u56fd\u5df2\u6709 \u200c29 \u4e2a\u7701\u4efd\u200c\u5b8c\u6210\u65b0\u9ad8\u8003\u843d\u5730，\u5176\u4e2d 23 \u4e2a\u7701\u4efd\u91c7\u7528\u300c3+1+2\u300d\u6a21\u5f0f，\u5317\u4eac\u3001\u5929\u6d25\u3001\u4e0a\u6d77\u3001\u6d59\u6c5f\u3001\u5c71\u4e1c\u3001\u6d77\u5357 6 \u7701\u5e02\u91c7\u7528\u300c3+3\u300d\u6a21\u5f0f\u3002<\/p>\n

\u62db\u751f\u7aef\u7684\u89c4\u6a21\u540c\u6837\u53ef\u89c2\u3002\u622a\u81f3 2026 \u5e74 6 \u6708 17 \u65e5，\u5168\u56fd\u9ad8\u7b49\u5b66\u6821\u5171 \u200c3196 \u6240\u200c，\u5176\u4e2d\u666e\u901a\u9ad8\u7b49\u5b66\u6821 2952 \u6240（\u672c\u79d1 1412 \u6240\u3001\u9ad8\u804c\u4e13\u79d1 1540 \u6240），\u6210\u4eba\u9ad8\u7b49\u5b66\u6821 244 \u6240（\u6559\u80b2\u90e8 2026 \u5e74 6 \u6708 18 \u65e5\u53d1\u5e03）\u3002\u4e0e\u6b64\u540c\u65f6，2026 \u5e74 3 \u6708\u56fd\u5bb6\u53d1\u6539\u59d4\u660e\u786e，\u300c\u5341\u4e94\u4e94\u300d\u671f\u95f4\u300c\u53cc\u4e00\u6d41\u300d\u9ad8\u6821\u672c\u79d1\u7d2f\u8ba1\u6269\u62db\u603b\u89c4\u6a21\u5c06\u8fbe\u5230 10 \u4e07\u4eba\u4ee5\u4e0a，\u4f18\u8d28\u672c\u79d1\u540d\u989d\u5728\u6269\u5bb9，\u4f46\u5206\u5e03\u5e76\u4e0d\u5747\u5300\u3002<\/p>\n

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\u6559\u80b2\u90e8\u300c\u9633\u5149\u5fd7\u613f\u300d\u4fe1\u606f\u670d\u52a1\u7cfb\u7edf\u5728 2026 \u5e74\u5b8c\u6210\u5347\u7ea7，\u63d0\u4f9b\u4e86\u6743\u5a01\u7684\u514d\u8d39\u516c\u5171\u670d\u52a1；\u4f46\u5b83\u89e3\u51b3\u7684\u662f\u200c\u4fe1\u606f\u4f9b\u7ed9\u200c\u95ee\u9898，\u4e0d\u89e3\u51b3\u200c\u4e2a\u4f53\u51b3\u7b56\u6392\u5e8f\u200c\u95ee\u9898\u2014\u2014\u300c\u4ee5\u6211\u8fd9\u4e2a\u4f4d\u6b21\u3001\u8fd9\u4e2a\u9009\u79d1\u7ec4\u5408\u3001\u8fd9\u4e2a\u504f\u597d，\u5fd7\u613f\u8868\u5e94\u8be5\u600e\u4e48\u6392\u300d，\u4ecd\u7136\u9700\u8981\u8003\u751f\u81ea\u5df1\u505a\u3002<\/p>\n

\u672c\u9879\u76ee\u8981\u505a\u7684，\u5c31\u662f\u8fd9\u4ef6\u4e8b\u7684\u5de5\u7a0b\u5316\u5b9e\u73b0\u3002<\/p>\n

\"\"<\/p>\n

1.2 \u9879\u76ee\u5b9a\u4f4d<\/h4>\n

\u4e00\u53e5\u8bdd\u8bf4\u6e05\u695a：\u200c\u8fd9\u4e0d\u662f\u4e00\u4e2a\u66ff\u4f60\u586b\u62a5\u7684\u7cfb\u7edf，\u800c\u662f\u4e00\u4e2a\u628a\u51b3\u7b56\u4f9d\u636e\u6574\u7406\u6210\u53ef\u89e3\u91ca\u3001\u53ef\u6838\u9a8c\u5fd7\u613f\u8349\u8868\u7684\u7cfb\u7edf\u3002\u200c<\/p>\n

\u7cfb\u7edf\u8f93\u51fa\u7684\u662f\u300c\u8349\u8868 + \u7406\u7531 + \u98ce\u9669\u63d0\u793a\u300d，\u6700\u7ec8\u586b\u62a5\u52a8\u4f5c\u4ecd\u7531\u8003\u751f\u672c\u4eba\u5728\u7701\u7ea7\u5b98\u65b9\u586b\u62a5\u7cfb\u7edf\u4e2d\u5b8c\u6210\u3002\u8fd9\u6761\u8fb9\u754c\u5fc5\u987b\u5199\u8fdb\u4ea7\u54c1\u6587\u6848\u3001\u5199\u8fdb\u63a5\u53e3\u6ce8\u91ca\u3001\u5199\u8fdb\u514d\u8d23\u58f0\u660e\u3002<\/p>\n

1.3 \u9879\u76ee\u76ee\u6807（\u53ef\u91cf\u5316）<\/h4>\n

\u8868\u683c<\/p>\n\n\u7f16\u53f7\u76ee\u6807\u9879\u6307\u6807<\/tr>\n\n\n\n\n\n\n\n\n
G1<\/td>\n\u7701\u4efd\u8986\u76d6<\/td>\n\u2265 29 \u4e2a\u65b0\u9ad8\u8003\u7701\u4efd，\u542b\u300c3+1+2\u300d\u4e0e\u300c3+3\u300d\u4e24\u7c7b\u89c4\u5219<\/td>\n<\/tr>\n
G2<\/td>\n\u6570\u636e\u8986\u76d6<\/td>\n\u9662\u6821\u4e13\u4e1a\u7ec4 \/ \u4e13\u4e1a+\u9662\u6821\u6761\u76ee \u2265 60 \u4e07\u6761，\u542b\u8fd1 3\u20145 \u5e74\u5f55\u53d6\u4f4d\u6b21<\/td>\n<\/tr>\n
G3<\/td>\n\u54cd\u5e94\u6027\u80fd<\/td>\n\u751f\u6210\u4e00\u4efd\u5b8c\u6574\u5fd7\u613f\u8349\u8868 P95 \u2264 8 \u79d2（\u6d41\u5f0f\u9996\u5b57\u8282 \u2264 1.5 \u79d2）<\/td>\n<\/tr>\n
G4<\/td>\n\u63a8\u8350\u8d28\u91cf<\/td>\n\u7528 2023\u20142025 \u5e74\u771f\u5b9e\u6570\u636e\u56de\u6d4b，\u7a33\u6863 + \u4fdd\u6863\u547d\u4e2d\u7387 \u2265 92%，\u6ed1\u6863\u7387 = 0<\/td>\n<\/tr>\n
G5<\/td>\n\u6570\u636e\u53ef\u4fe1<\/td>\n\u8349\u8868\u4e2d\u6bcf\u6761\u5fd7\u613f\u7684\u4f4d\u6b21\/\u8ba1\u5212\u6570\u636e\u53ef\u6eaf\u6e90\u5230\u5177\u4f53\u6570\u636e\u6e90，\u5e7b\u89c9\u7387 < 1%<\/td>\n<\/tr>\n
G6<\/td>\n\u6210\u672c\u63a7\u5236<\/td>\n\u5355\u6b21\u4f1a\u8bdd（\u542b\u591a\u8f6e\u8ffd\u95ee）LLM \u6210\u672c \u2264 0.15 \u5143<\/td>\n<\/tr>\n
G7<\/td>\n\u5e76\u53d1\u80fd\u529b<\/td>\n\u586b\u62a5\u9ad8\u5cf0\u671f\u652f\u6491 500 QPS \u7a33\u5b9a\u8fd0\u884c，\u53ef\u7528\u6027 \u2265 99.9%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

1.4 \u9879\u76ee\u8fb9\u754c<\/h4>\n

\u200c\u672c\u9879\u76ee\u8981\u505a：\u200c<\/p>\n

    \n
  • \u7ed3\u6784\u5316\u91c7\u96c6\u4e0e\u6cbb\u7406\u5b98\u65b9\u62db\u751f\u6570\u636e<\/li>\n
  • \u4f4d\u6b21\u6362\u7b97\u3001\u51b2\u7a33\u4fdd\u5206\u5c42\u3001\u786c\u7ea6\u675f\u8fc7\u6ee4\u3001\u5fd7\u613f\u6392\u5e8f<\/li>\n
  • \u591a Agent \u534f\u4f5c\u751f\u6210\u5fd7\u613f\u8349\u8868\u5e76\u7ed9\u51fa\u53ef\u89e3\u91ca\u7406\u7531<\/li>\n
  • \u98ce\u9669\u63d0\u793a（\u6ed1\u6863\u98ce\u9669\u3001\u9000\u6863\u98ce\u9669\u3001\u5927\u5c0f\u5e74\u6ce2\u52a8\u63d0\u793a）<\/li>\n<\/ul>\n

    \u200c\u672c\u9879\u76ee\u4e0d\u505a：\u200c<\/p>\n

      \n
    • \u4e0d\u66ff\u4ee3\u7701\u7ea7\u5b98\u65b9\u5fd7\u613f\u586b\u62a5\u7cfb\u7edf，\u4e0d\u505a\u4efb\u4f55\u5f62\u5f0f\u7684\u4ee3\u586b\u62a5<\/li>\n
    • \u4e0d\u505a\u6700\u7ec8\u5f55\u53d6\u627f\u8bfa，\u4e0d\u8f93\u51fa\u300c\u4fdd\u5f55\u53d6\u300d\u7c7b\u8868\u8ff0<\/li>\n
    • \u4e0d\u91c7\u96c6\u3001\u4e0d\u5b58\u50a8\u8003\u751f\u8eab\u4efd\u8bc1\u53f7\u3001\u8003\u751f\u53f7\u7b49\u654f\u611f\u8eab\u4efd\u4fe1\u606f<\/li>\n
    • \u4e0d\u7092\u4f5c\u300c\u9ad8\u8003\u72b6\u5143\u300d\u300c\u9ad8\u5206\u8003\u751f\u300d\u300c\u5347\u5b66\u7387\u300d，\u4e0d\u505a\u4ed8\u8d39\u4ee3\u62a5\u4e1a\u52a1<\/li>\n<\/ul>\n
      \n

      \u4e8c\u3001\u9700\u6c42\u5206\u6790<\/h3>\n

      2.1 \u7528\u6237\u89d2\u8272<\/h4>\n

      \u8868\u683c<\/p>\n\n\u89d2\u8272\u6838\u5fc3\u8bc9\u6c42\u4f7f\u7528\u573a\u666f<\/tr>\n\n\n\n\n\n
      \u8003\u751f\u672c\u4eba<\/td>\n\u6211\u8fd9\u4e2a\u5206\u6570\/\u4f4d\u6b21\u80fd\u62a5\u4ec0\u4e48，\u600e\u4e48\u6392\u4e0d\u51fa\u9519<\/td>\n\u51fa\u5206\u540e 3\u20145 \u5929\u5185\u7684\u5bc6\u96c6\u51b3\u7b56\u671f<\/td>\n<\/tr>\n
      \u8003\u751f\u5bb6\u957f<\/td>\n\u89c4\u5219\u770b\u4e0d\u61c2，\u60f3\u6709\u4e2a\u80fd\u6838\u5bf9\u7684\u53c2\u7167<\/td>\n\u4e0e\u8003\u751f\u5171\u540c\u51b3\u7b56，\u504f\u597d\u57ce\u5e02\/\u7a33\u5b9a\u6027<\/td>\n<\/tr>\n
      \u5347\u5b66\u6307\u5bfc\u8001\u5e08<\/td>\n\u6279\u91cf\u7ed9\u5b66\u751f\u51fa\u53c2\u8003\u65b9\u6848，\u9700\u8981\u53ef\u6838\u9a8c<\/td>\n\u5b66\u6821\u7ec4\u7ec7\u7684\u5fd7\u613f\u586b\u62a5\u6307\u5bfc\u4f1a<\/td>\n<\/tr>\n
      \u5185\u5bb9\u8fd0\u8425<\/td>\n\u7ef4\u62a4\u7701\u4efd\u89c4\u5219\u5e93\u4e0e\u6570\u636e\u66f4\u65b0<\/td>\n\u6bcf\u5e74 5\u20148 \u6708\u6570\u636e\u8fed\u4ee3\u671f<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

      2.2 \u6838\u5fc3\u75db\u70b9\u62c6\u89e3<\/h4>\n
    • \u200c\u4f4d\u6b21\u53e3\u5f84\u6df7\u4e71\u200c：\u76f4\u63a5\u7528\u5206\u6570\u5bf9\u6bd4\u5f80\u5e74\u5f55\u53d6\u7ebf，\u5ffd\u7565\u6bcf\u5e74\u4e00\u5206\u4e00\u6bb5\u8868\u7684\u6574\u4f53\u5e73\u79fb，\u5bfc\u81f4\u5b9a\u4f4d\u504f\u5dee\u3002<\/li>\n
    • \u200c\u89c4\u5219\u7406\u89e3\u95e8\u69db\u9ad8\u200c：\u5e73\u884c\u5fd7\u613f\u300c\u5206\u6570\u4f18\u5148\u3001\u9075\u5faa\u5fd7\u613f\u3001\u4e00\u8f6e\u6295\u6863\u300d\u770b\u4f3c\u7b80\u5355，\u4f46\u843d\u5230\u9662\u6821\u4e13\u4e1a\u7ec4\u7684\u8c03\u5242\u8303\u56f4\u3001\u540c\u5206\u6392\u5e8f\u89c4\u5219\u3001\u9000\u6863\u89e6\u53d1\u6761\u4ef6\u4e0a，\u975e\u4e13\u4e1a\u4eba\u58eb\u5f88\u96be\u5403\u900f\u3002<\/li>\n
    • \u200c\u6570\u636e\u6838\u5bf9\u6210\u672c\u9ad8\u200c：\u4e00\u6761\u5fd7\u613f\u8981\u540c\u65f6\u6ee1\u8db3\u9009\u79d1\u8981\u6c42\u3001\u5355\u79d1\u6210\u7ee9\u3001\u4f53\u68c0\u7ed3\u8bba\u3001\u5916\u8bed\u8bed\u79cd\u56db\u9879\u786c\u7ea6\u675f，\u4eba\u5de5\u9010\u6761\u6838\u5bf9\u6781\u6613\u9057\u6f0f\u3002<\/li>\n
    • \u200c\u68af\u5ea6\u8bbe\u7f6e\u6ca1\u6709\u4f9d\u636e\u200c：\u51b2\u7a33\u4fdd\u51ed\u611f\u89c9\u5206\u914d\u540d\u989d，\u8981\u4e48\u5168\u51b2\u5bfc\u81f4\u6ed1\u6863，\u8981\u4e48\u4fdd\u5e95\u8fc7\u4f4e\u538b\u4f4e\u5f55\u53d6\u8d28\u91cf\u3002<\/li>\n
    • \u200c\u89e3\u91ca\u7f3a\u5931\u200c：\u5e02\u9762\u5de5\u5177\u7ed9\u51fa\u7ed3\u679c\u4f46\u4e0d\u7ed9\u7406\u7531，\u8003\u751f\u65e0\u6cd5\u5224\u65ad\u662f\u5426\u53ef\u4fe1，\u4e5f\u65e0\u6cd5\u9488\u5bf9\u6027\u8c03\u6574\u3002<\/li>\n

      2.3 \u529f\u80fd\u6027\u9700\u6c42<\/h4>\n

      \u8868\u683c<\/p>\n\n\u7f16\u53f7\u9700\u6c42\u540d\u79f0\u9700\u6c42\u63cf\u8ff0\u4f18\u5148\u7ea7<\/tr>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
      FR-01<\/td>\n\u8003\u751f\u4fe1\u606f\u91c7\u96c6<\/td>\n\u652f\u6301\u8868\u5355\u5f55\u5165\u4e0e\u81ea\u7136\u8bed\u8a00\u8f93\u5165\u4e24\u79cd\u65b9\u5f0f，\u62bd\u53d6\u7701\u4efd\u3001\u79d1\u7c7b\u3001\u9009\u79d1\u7ec4\u5408\u3001\u5206\u6570\u3001\u4f4d\u6b21\u3001\u504f\u597d\u7b49\u5b57\u6bb5<\/td>\nP0<\/td>\n<\/tr>\n
      FR-02<\/td>\n\u4f4d\u6b21\u81ea\u52a8\u5b9a\u4f4d<\/td>\n\u4f9d\u636e\u7701\u4efd + \u9996\u9009\u79d1\u76ee\u7ec4 + \u5206\u6570，\u4ece\u5f53\u5e74\u4e00\u5206\u4e00\u6bb5\u8868\u53cd\u67e5\u5168\u7701\u4f4d\u6b21<\/td>\nP0<\/td>\n<\/tr>\n
      FR-03<\/td>\n\u7b49\u6548\u4f4d\u6b21\u6362\u7b97<\/td>\n\u5c06\u5f53\u5e74\u4f4d\u6b21\u6362\u7b97\u4e3a\u5f80\u5e74\u7b49\u6548\u4f4d\u6b21，\u652f\u6301\u7279\u63a7\u7ebf\/\u672c\u79d1\u7ebf\u4e24\u79cd\u53e3\u5f84<\/td>\nP0<\/td>\n<\/tr>\n
      FR-04<\/td>\n\u7701\u4efd\u89c4\u5219\u52a0\u8f7d<\/td>\n\u6309\u7701\u4efd\u52a0\u8f7d\u5f53\u5e74\u6279\u6b21\u8bbe\u7f6e\u3001\u5fd7\u613f\u6570\u91cf\u3001\u6295\u6863\u89c4\u5219\u3001\u8c03\u5242\u8303\u56f4<\/td>\nP0<\/td>\n<\/tr>\n
      FR-05<\/td>\n\u5019\u9009\u9662\u6821\u4e13\u4e1a\u7ec4\u68c0\u7d22<\/td>\n\u6309\u4f4d\u6b21\u533a\u95f4\u3001\u9009\u79d1\u3001\u5730\u57df\u3001\u529e\u5b66\u5c42\u6b21\u3001\u5b66\u8d39\u7b49\u6761\u4ef6\u53ec\u56de\u5019\u9009\u96c6<\/td>\nP0<\/td>\n<\/tr>\n
      FR-06<\/td>\n\u786c\u7ea6\u675f\u8fc7\u6ee4<\/td>\n\u81ea\u52a8\u5254\u9664\u9009\u79d1\u4e0d\u7b26\u3001\u5355\u79d1\u4e0d\u8fbe\u6807\u3001\u4f53\u68c0\u53d7\u9650\u3001\u8bed\u79cd\u4e0d\u7b26\u7684\u6761\u76ee<\/td>\nP0<\/td>\n<\/tr>\n
      FR-07<\/td>\n\u51b2\u7a33\u4fdd\u5206\u5c42<\/td>\n\u6309\u8fd1 3 \u5e74\u6700\u4f4e\u4f4d\u6b21\u52a0\u6743\u5747\u503c\u5212\u5206\u51b2\/\u7a33\/\u4fdd\u4e09\u6863\u5e76\u4f30\u7b97\u5f55\u53d6\u6982\u7387<\/td>\nP0<\/td>\n<\/tr>\n
      FR-08<\/td>\n\u5fd7\u613f\u8349\u8868\u751f\u6210<\/td>\n\u8f93\u51fa\u6709\u5e8f\u5fd7\u613f\u8868，\u542b\u9662\u6821\u4e13\u4e1a\u7ec4\u4ee3\u7801\u3001\u7ec4\u5185\u4e13\u4e1a\u6392\u5e8f\u3001\u8c03\u5242\u5efa\u8bae<\/td>\nP0<\/td>\n<\/tr>\n
      FR-09<\/td>\n\u7ed3\u679c\u6821\u9a8c\u5ba1\u6838<\/td>\n\u72ec\u7acb\u5ba1\u6838 Agent \u590d\u6838\u6570\u636e\u771f\u5b9e\u6027\u3001\u68af\u5ea6\u5408\u7406\u6027\u3001\u6ed1\u6863\/\u9000\u6863\u98ce\u9669<\/td>\nP0<\/td>\n<\/tr>\n
      FR-10<\/td>\n\u53ef\u89e3\u91ca\u7406\u7531<\/td>\n\u6bcf\u6761\u5fd7\u613f\u7ed9\u51fa\u300c\u4e3a\u4ec0\u4e48\u653e\u5728\u8fd9\u4e00\u6863\u300d\u7684\u6570\u636e\u4f9d\u636e\u4e0e\u6765\u6e90<\/td>\nP1<\/td>\n<\/tr>\n
      FR-11<\/td>\n\u591a\u8f6e\u8ffd\u95ee<\/td>\n\u652f\u6301\u300c\u6362\u57ce\u5e02\u300d\u300c\u52a0\u4fdd\u5e95\u300d\u300c\u4e0d\u63a5\u53d7\u67d0\u4e13\u4e1a\u300d\u7b49\u8c03\u6574\u6307\u4ee4\u5e76\u91cd\u7b97<\/td>\nP1<\/td>\n<\/tr>\n
      FR-12<\/td>\n\u751f\u6daf\u503e\u5411\u6d4b\u8bc4<\/td>\n\u96c6\u6210\u970d\u5170\u5fb7\/MBTI \u7c7b\u6d4b\u8bc4，\u8f93\u51fa\u4e13\u4e1a\u503e\u5411\u6807\u7b7e\u8f85\u52a9\u7b5b\u9009<\/td>\nP2<\/td>\n<\/tr>\n
      FR-13<\/td>\n\u65b9\u6848\u5bfc\u51fa<\/td>\n\u5bfc\u51fa\u4e3a Excel \/ PDF \u5fd7\u613f\u8349\u8868，\u4f9b\u7ebf\u4e0b\u6838\u5bf9<\/td>\nP2<\/td>\n<\/tr>\n
      FR-14<\/td>\n\u89c4\u5219\u5e93\u7ba1\u7406\u540e\u53f0<\/td>\n\u8fd0\u8425\u7ef4\u62a4\u5404\u7701\u89c4\u5219\u4e0e\u6570\u636e\u7248\u672c，\u652f\u6301\u7070\u5ea6\u53d1\u5e03<\/td>\nP1<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

      2.4 \u975e\u529f\u80fd\u6027\u9700\u6c42<\/h4>\n

      \u8868\u683c<\/p>\n\n\u7c7b\u522b\u6307\u6807\u8981\u6c42<\/tr>\n\n\n\n\n\n\n\n\n\n
      \u6027\u80fd<\/td>\n\u8349\u8868\u751f\u6210 P95 \u2264 8s；SSE \u9996\u5b57\u8282 \u2264 1.5s；\u5355\u6761\u8ffd\u95ee\u54cd\u5e94 P95 \u2264 4s<\/td>\n<\/tr>\n
      \u5e76\u53d1<\/td>\n\u5cf0\u503c 500 QPS，\u6a2a\u5411\u6269\u5c55\u652f\u6301\u81f3 2000 QPS<\/td>\n<\/tr>\n
      \u53ef\u7528\u6027<\/td>\n\u2265 99.9%；LLM \u4e0d\u53ef\u7528\u65f6\u81ea\u52a8\u964d\u7ea7\u4e3a\u7eaf\u89c4\u5219\u5f15\u64ce，\u4fdd\u8bc1\u6838\u5fc3\u529f\u80fd\u53ef\u7528<\/td>\n<\/tr>\n
      \u6210\u672c<\/td>\n\u5355\u6b21\u4f1a\u8bdd LLM \u6210\u672c \u2264 0.15 \u5143；\u8f7b\u91cf\u4efb\u52a1（\u5206\u7c7b\u3001\u62bd\u53d6）\u8def\u7531\u5230\u5c0f\u6a21\u578b<\/td>\n<\/tr>\n
      \u53ef\u89c2\u6d4b<\/td>\n\u5168\u94fe\u8def\u8ffd\u8e2a（LangSmith \/ OpenTelemetry），\u6bcf\u4e2a\u8282\u70b9\u7684\u8f93\u5165\u8f93\u51fa\u3001\u8017\u65f6\u3001token \u6d88\u8017\u53ef\u67e5<\/td>\n<\/tr>\n
      \u6570\u636e\u65f6\u6548<\/td>\n\u7701\u4efd\u89c4\u5219\u4e0e\u62db\u751f\u8ba1\u5212\u5728\u5b98\u65b9\u53d1\u5e03\u540e 24 \u5c0f\u65f6\u5185\u5b8c\u6210\u66f4\u65b0<\/td>\n<\/tr>\n
      \u5b89\u5168<\/td>\n\u4f1a\u8bdd\u6570\u636e\u52a0\u5bc6\u5b58\u50a8；\u654f\u611f\u5b57\u6bb5\u8131\u654f；\u4e0d\u7559\u5b58\u8eab\u4efd\u4fe1\u606f<\/td>\n<\/tr>\n
      \u5408\u89c4<\/td>\n\u9875\u9762\u663e\u8457\u4f4d\u7f6e\u6807\u6ce8\u6570\u636e\u6765\u6e90\u4e0e\u514d\u8d23\u58f0\u660e；\u4e0d\u51fa\u73b0\u5f55\u53d6\u627f\u8bfa\u7c7b\u8868\u8ff0<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

      2.5 \u5408\u89c4\u7ea2\u7ebf（\u786c\u6027\u7ea6\u675f）<\/h4>\n
    • \u6240\u6709\u5f55\u53d6\u4f4d\u6b21\u3001\u62db\u751f\u8ba1\u5212\u6570\u636e\u5fc5\u987b\u6807\u6ce8\u6765\u6e90\u4e0e\u6570\u636e\u622a\u6b62\u65e5\u671f\u3002<\/li>\n
    • \u8f93\u51fa\u6587\u6848\u4e2d\u7981\u6b62\u51fa\u73b0\u300c\u4fdd\u8bc1\u5f55\u53d6\u300d\u300c100% \u4e0a\u5cb8\u300d\u300c\u7a33\u8fdb\u300d\u7b49\u786e\u5b9a\u6027\u627f\u8bfa\u3002<\/li>\n
    • \u4e0d\u5f97\u6293\u53d6\u660e\u786e\u7981\u6b62\u722c\u53d6\u7684\u7ad9\u70b9；\u5bf9\u5b98\u65b9\u7ad9\u70b9\u8bbe\u7f6e\u8bbf\u95ee\u9891\u7387\u4e0a\u9650\u5e76\u9075\u5b88 robots \u534f\u8bae，\u4f18\u5148\u91c7\u7528\u5b98\u65b9\u5f00\u653e\u6570\u636e\u6216\u6388\u6743\u6570\u636e\u3002<\/li>\n
    • \u6d89\u53ca\u8003\u751f\u4e2a\u4eba\u4fe1\u606f\u7684\u90e8\u5206，\u9075\u5faa\u6700\u5c0f\u5fc5\u8981\u539f\u5219\u91c7\u96c6，\u4e14\u4e0d\u5bf9\u5916\u63d0\u4f9b\u3002<\/li>\n
    • \u7cfb\u7edf\u9875\u9762\u9700\u660e\u793a\u300c\u6700\u7ec8\u586b\u62a5\u4ee5\u7701\u7ea7\u5b98\u65b9\u586b\u62a5\u7cfb\u7edf\u4e3a\u51c6\u300d\u3002<\/li>\n
      \n

      \u4e09\u3001\u603b\u4f53\u67b6\u6784\u8bbe\u8ba1<\/h3>\n

      3.1 \u56db\u5c42\u67b6\u6784<\/h4>\n

      \u7cfb\u7edf\u5206\u4e3a\u63a5\u5165\u5c42\u3001\u7f16\u6392\u5c42\u3001Agent \u5c42\u3001\u6570\u636e\u4e0e\u6a21\u578b\u5c42\u56db\u5c42\u3002\u5206\u5c42\u7684\u5173\u952e\u76ee\u7684\u662f\u200c\u8ba9\u65b0\u589e\u4e00\u4e2a Agent \u4e0d\u9700\u8981\u6539\u52a8\u5176\u4ed6 Agent \u7684\u4ee3\u7801\u200c\u2014\u2014\u53ea\u9700\u5728\u7f16\u6392\u5c42\u6ce8\u518c\u8282\u70b9\u548c\u8fb9\u3002<\/p>\n

        \n
      • \u200c\u63a5\u5165\u5c42\u200c：Web \/ \u5c0f\u7a0b\u5e8f\u524d\u7aef，REST API \u8d1f\u8d23\u5e38\u89c4\u8bf7\u6c42，SSE \u8d1f\u8d23\u6d41\u5f0f\u63a8\u9001 Agent \u6267\u884c\u8fdb\u5ea6\u3002<\/li>\n
      • \u200c\u7f16\u6392\u5c42\u200c：LangGraph \u56fe\u8fd0\u884c\u6838\u5fc3\u3002\u6240\u6709 Agent \u4f5c\u4e3a\u8282\u70b9\u6302\u8f7d\u5728\u8fd9\u5f20\u56fe\u4e0a，\u8282\u70b9\u4e4b\u95f4\u7684\u8df3\u8f6c\u3001\u5faa\u73af\u3001\u5e76\u884c\u3001\u4e2d\u65ad\u5168\u90e8\u7531\u56fe\u5b9a\u4e49，\u800c\u4e0d\u662f\u6563\u843d\u5728\u4e1a\u52a1\u4ee3\u7801\u7684 if-else \u91cc\u3002<\/li>\n
      • \u200cAgent \u5c42\u200c：\u6bcf\u4e2a Agent \u6709\u72ec\u7acb\u7684\u63d0\u793a\u8bcd\u3001\u6a21\u578b\u914d\u7f6e\u3001\u5de5\u5177\u96c6\u4e0e\u8bb0\u5fc6，\u5f7c\u6b64\u4e0d\u76f4\u63a5\u901a\u4fe1，\u5168\u90e8\u901a\u8fc7\u5171\u4eab\u72b6\u6001\u5bf9\u8c61\u4ea4\u6362\u6570\u636e\u3002<\/li>\n
      • \u200c\u6570\u636e\u4e0e\u6a21\u578b\u5c42\u200c：PostgreSQL \u5b58\u7ed3\u6784\u5316\u62db\u751f\u6570\u636e，pgvector \u5b58\u62db\u751f\u7ae0\u7a0b\u4e0e\u4e13\u4e1a\u89e3\u8bfb\u7684\u5411\u91cf\u7d22\u5f15，Redis \u627f\u62c5\u7f13\u5b58\u4e0e\u4efb\u52a1\u961f\u5217，\u6a21\u578b\u7f51\u5173\u7edf\u4e00\u63a5\u5165\u4e0d\u540c\u5927\u6a21\u578b\u5e76\u6309\u4efb\u52a1\u7c7b\u578b\u8def\u7531\u3002<\/li>\n<\/ul>\n

        mermaid<\/p>\n

        \u6570\u636e\u4e0e\u6a21\u578b\u5c42<\/p>\n

        Agent \u5c42<\/p>\n

        \u7f16\u6392\u5c42 \u00b7 LangGraph<\/p>\n

        \u63a5\u5165\u5c42<\/p>\n

        Web \/ \u5c0f\u7a0b\u5e8f\u524d\u7aef<\/p>\n

        REST API + SSE \u6d41\u5f0f\u901a\u9053<\/p>\n

        Supervisor \u603b\u8c03\u5ea6<\/p>\n

        \u7b56\u7565\u5b50\u56fe<\/p>\n

        \u68c0\u7d22\u5b50\u56fe<\/p>\n

        \u5ba1\u6838\u5b50\u56fe<\/p>\n

        Checkpointer \/ Store<\/p>\n

        9 \u4e2a\u4e13\u804c Agent \u72ec\u7acb\u4e0a\u4e0b\u6587 \/ \u72ec\u7acb\u5de5\u5177\u96c6<\/p>\n

        PostgreSQL + pgvector<\/p>\n

        Redis \u7f13\u5b58 \/ \u961f\u5217<\/p>\n

        \u6a21\u578b\u7f51\u5173 \u00b7 \u6309\u4efb\u52a1\u8def\u7531<\/p>\n

        \u5b98\u65b9\u6570\u636e\u6e90<\/p>\n<\/p>\n<\/p>\n

        3.2 \u6280\u672f\u9009\u578b<\/h4>\n

        \u8868\u683c<\/p>\n\n\u5c42\u6b21\u9009\u578b\u8bf4\u660e<\/tr>\n\n\n\n\n\n\n\n\n\n\n
        \u7f16\u6392\u6846\u67b6<\/td>\nLangGraph 1.2<\/td>\n\u72b6\u6001\u56fe\u6a21\u578b，\u539f\u751f\u652f\u6301\u5faa\u73af\u3001\u6761\u4ef6\u8df3\u8f6c\u3001\u5e76\u884c\u5206\u652f\u3001\u65ad\u70b9\u6062\u590d<\/td>\n<\/tr>\n
        \u6a21\u578b\u5c42<\/td>\n\u591a\u6a21\u578b\u7f51\u5173<\/td>\n\u62bd\u53d6\/\u5206\u7c7b\u8d70\u5c0f\u6a21\u578b，\u7b56\u7565\u751f\u6210\u4e0e\u5ba1\u6838\u8d70\u63a8\u7406\u6a21\u578b，\u6210\u672c\u53ef\u964d 30% \u4ee5\u4e0a<\/td>\n<\/tr>\n
        \u5de5\u5177\u534f\u8bae<\/td>\nMCP<\/td>\n2026 \u5e74\u5de5\u5177\u63a5\u5165\u7684\u4e8b\u5b9e\u6807\u51c6，\u4fbf\u4e8e\u590d\u7528\u5916\u90e8\u6570\u636e\u5de5\u5177<\/td>\n<\/tr>\n
        \u6301\u4e45\u5316<\/td>\nPostgreSQL + PostgresSaver + PostgresStore<\/td>\nCheckpointer \u7ba1\u7ebf\u7a0b\u72b6\u6001，Store \u7ba1\u8de8\u4f1a\u8bdd\u957f\u671f\u8bb0\u5fc6<\/td>\n<\/tr>\n
        \u5411\u91cf\u68c0\u7d22<\/td>\npgvector<\/td>\n\u62db\u751f\u7ae0\u7a0b\u3001\u4e13\u4e1a\u89e3\u8bfb\u7684\u8bed\u4e49\u53ec\u56de<\/td>\n<\/tr>\n
        \u670d\u52a1\u5c42<\/td>\nFastAPI + SSE<\/td>\n\u5f02\u6b65\u6d41\u5f0f\u8f93\u51fa，\u524d\u7aef\u5b9e\u65f6\u5c55\u793a Agent \u534f\u4f5c\u8fc7\u7a0b<\/td>\n<\/tr>\n
        \u7f13\u5b58\u4e0e\u961f\u5217<\/td>\nRedis<\/td>\n\u4e00\u5206\u4e00\u6bb5\u8868\u70ed\u6570\u636e\u7f13\u5b58\u3001\u5f02\u6b65\u4efb\u52a1\u961f\u5217<\/td>\n<\/tr>\n
        \u53ef\u89c2\u6d4b<\/td>\nLangSmith + OpenTelemetry<\/td>\n\u8282\u70b9\u7ea7 trace，\u4fbf\u4e8e\u5b9a\u4f4d\u534f\u4f5c\u94fe\u8def\u95ee\u9898<\/td>\n<\/tr>\n
        \u524d\u7aef<\/td>\nVue 3 \/ React 19<\/td>\n\u8868\u5355 + \u5fd7\u613f\u8868 + \u534f\u4f5c\u8fc7\u7a0b\u53ef\u89c6\u5316<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
        \n

        \u56db\u3001\u591a Agent \u8bbe\u8ba1\u4e0e LangGraph \u7f16\u6392<\/h3>\n

        4.1 \u4e3a\u4ec0\u4e48\u7528 LangGraph \u800c\u4e0d\u662f Chain<\/h4>\n

        \u5148\u628a\u4e00\u4e2a\u5e38\u89c1\u8bef\u533a\u8bf4\u6e05\u695a：\u5728\u7cfb\u7edf\u63d0\u793a\u8bcd\u91cc\u5199\u300c\u4f60\u73b0\u5728\u65e2\u662f\u8d44\u6df1\u5347\u5b66\u89c4\u5212\u5e08，\u53c8\u662f\u6570\u636e\u4e13\u5bb6\u300d，\u7136\u540e\u8c03\u7528\u4e00\u6b21\u6a21\u578b，\u8fd9\u200c\u4e0d\u662f\u591a\u667a\u80fd\u4f53\u200c，\u53ea\u662f\u4e00\u6b21 Prompt \u66f4\u590d\u6742\u7684\u5355\u6b21\u8c03\u7528\u3002\u771f\u6b63\u7684\u591a\u667a\u80fd\u4f53\u81f3\u5c11\u8981\u6ee1\u8db3\u4e09\u70b9：\u6bcf\u4e2a Agent \u6709\u72ec\u7acb\u4e0a\u4e0b\u6587\u4e0e\u8bb0\u5fc6\u3001\u6709\u72ec\u7acb\u76ee\u6807\u4e0e\u5de5\u5177\u96c6\u3001Agent \u4e4b\u95f4\u6709\u7ed3\u6784\u5316\u7684\u534f\u4f5c\u673a\u5236\u3002<\/p>\n

        \u5728\u5fd7\u613f\u586b\u62a5\u8fd9\u4e2a\u573a\u666f\u91cc，\u534f\u4f5c\u94fe\u8def\u5929\u7136\u662f\u200c\u975e\u7ebf\u6027\u7684\u200c：\u4f4d\u6b21\u6362\u7b97\u7ed3\u679c\u4e0d\u7406\u60f3\u65f6\u8981\u56de\u9000\u91cd\u65b0\u68c0\u7d22；\u5ba1\u6838\u4e0d\u901a\u8fc7\u65f6\u8981\u56de\u5230\u7b56\u7565\u8282\u70b9\u91cd\u6392；\u7528\u6237\u4e2d\u9014\u6539\u504f\u597d\u8981\u80fd\u5c40\u90e8\u91cd\u7b97\u800c\u4e0d\u662f\u5168\u91cf\u91cd\u6765；\u8fd8\u8981\u5728\u5173\u952e\u8282\u70b9\u505c\u4e0b\u6765\u7b49\u7528\u6237\u786e\u8ba4\u3002\u7528\u56fa\u5b9a\u6d41\u6c34\u7ebf\u5199，\u4ee3\u7801\u4f1a\u8fc5\u901f\u81a8\u80c0\u5230\u65e0\u6cd5\u7ef4\u62a4\u3002<\/p>\n

        LangGraph \u628a\u6d41\u7a0b\u5efa\u6a21\u6210\u6709\u5411\u56fe：\u8282\u70b9\u662f\u8ba1\u7b97\u6b65\u9aa4，\u8fb9\u662f\u63a7\u5236\u6d41\u3002\u8fd9\u5957\u6a21\u578b\u5e26\u6765\u4e09\u4e2a\u76f4\u63a5\u597d\u5904：<\/p>\n

      • \u200c\u53ef\u63a7\u200c：\u6bcf\u4e00\u6b65\u8d70\u5230\u54ea\u4e2a\u5206\u652f\u662f\u663e\u5f0f\u5b9a\u4e49\u7684，\u53ef\u8bfb\u3001\u53ef\u6d4b\u3001\u53ef\u7248\u672c\u5316\u3002<\/li>\n
      • \u200c\u53ef\u89c2\u6d4b\u200c：\u6240\u6709\u8fd0\u884c\u65f6\u72b6\u6001\u4fdd\u5b58\u5728\u663e\u5f0f\u72b6\u6001\u5bf9\u8c61\u91cc，\u4efb\u610f\u4e00\u6b65\u7684\u4e2d\u95f4\u7ed3\u679c\u90fd\u80fd\u6253\u5370\u3001\u843d\u5e93\u3001\u63a8\u7ed9\u524d\u7aef\u3002<\/li>\n
      • \u200c\u53ef\u6062\u590d\u200c：Checkpointer \u5728\u6bcf\u4e2a\u8282\u70b9\u540e\u5199\u5feb\u7167，\u8282\u70b9\u5931\u8d25\u53ef\u4ece\u65ad\u70b9\u7eed\u8dd1，\u800c\u4e0d\u662f\u4ece\u5934\u91cd\u6765\u3002<\/li>\n

        4.2 Agent \u89d2\u8272\u6e05\u5355<\/h4>\n

        \u7cfb\u7edf\u8bbe \u200c1 \u4e2a Supervisor + 9 \u4e2a\u4e13\u804c Agent\u200c\u3002<\/p>\n

        \u8868\u683c<\/p>\n\n#Agent\u804c\u8d23\u4e3b\u8981\u5de5\u5177<\/tr>\n\n\n\n\n\n\n\n\n\n\n\n
        0<\/td>\nSupervisor（\u8c03\u5ea6）<\/td>\n\u62c6\u89e3\u4efb\u52a1\u3001\u51b3\u5b9a\u4e0b\u4e00\u4e2a\u6267\u884c\u7684 Agent\u3001\u6c47\u603b\u7ed3\u679c\u3001\u5224\u65ad\u7ec8\u6b62<\/td>\n\u65e0（\u7eaf\u8def\u7531\u51b3\u7b56）<\/td>\n<\/tr>\n
        1<\/td>\nIntakeAgent \u9700\u6c42\u89e3\u6790<\/td>\n\u4ece\u8868\u5355\u6216\u81ea\u7136\u8bed\u8a00\u62bd\u53d6\u7ed3\u6784\u5316\u8003\u751f\u753b\u50cf<\/td>\n\u8868\u5355\u6821\u9a8c\u3001\u5b57\u6bb5\u62bd\u53d6<\/td>\n<\/tr>\n
        2<\/td>\nPolicyAgent \u653f\u7b56\u89c4\u5219<\/td>\n\u52a0\u8f7d\u8be5\u7701\u5f53\u5e74\u6279\u6b21\u3001\u5fd7\u613f\u6570\u91cf\u3001\u6295\u6863\u89c4\u5219\u3001\u8c03\u5242\u8303\u56f4<\/td>\n\u89c4\u5219\u5e93\u67e5\u8be2<\/td>\n<\/tr>\n
        3<\/td>\nProfileAgent \u751f\u6daf\u753b\u50cf<\/td>\n\u5174\u8da3\/\u6027\u683c\u6d4b\u8bc4\u7ed3\u679c + \u5b66\u79d1\u80fd\u529b \u2192 \u4e13\u4e1a\u503e\u5411\u6807\u7b7e<\/td>\n\u6d4b\u8bc4\u91cf\u8868\u3001\u6807\u7b7e\u6620\u5c04<\/td>\n<\/tr>\n
        4<\/td>\nRetrievalAgent \u6570\u636e\u68c0\u7d22<\/td>\n\u6309\u6761\u4ef6\u53ec\u56de\u5019\u9009\u9662\u6821\u4e13\u4e1a\u7ec4，\u8fd4\u56de\u542b\u8fd1 3\u20145 \u5e74\u4f4d\u6b21\u7684\u5019\u9009\u96c6<\/td>\n\u7ed3\u6784\u5316\u68c0\u7d22\u3001pgvector \u53ec\u56de<\/td>\n<\/tr>\n
        5<\/td>\nRankAgent \u4f4d\u6b21\u6362\u7b97<\/td>\n\u4e00\u5206\u4e00\u6bb5\u8868 + \u6279\u6b21\u7ebf\u4f4d\u6b21 \u2192 \u7b49\u6548\u4f4d\u6b21 \/ \u7b49\u6548\u5206<\/td>\n\u6362\u7b97\u5f15\u64ce<\/td>\n<\/tr>\n
        6<\/td>\nStrategyAgent \u51b2\u7a33\u4fdd\u7b56\u7565<\/td>\n\u5206\u5c42\u3001\u4f30\u7b97\u5f55\u53d6\u6982\u7387\u3001\u5206\u914d\u51b2\u7a33\u4fdd\u540d\u989d<\/td>\n\u6982\u7387\u6a21\u578b\u3001\u540d\u989d\u5206\u914d\u89c4\u5219<\/td>\n<\/tr>\n
        7<\/td>\nPlanAgent \u5fd7\u613f\u8868\u751f\u6210<\/td>\n\u6392\u5e8f\u3001\u7ec4\u5185\u4e13\u4e1a\u6392\u5e8f\u3001\u8c03\u5242\u5efa\u8bae\u3001\u68af\u5ea6\u6821\u9a8c<\/td>\n\u6392\u5e8f\u6253\u5206\u51fd\u6570<\/td>\n<\/tr>\n
        8<\/td>\nCriticAgent \u6821\u9a8c\u5ba1\u6838<\/td>\n\u786c\u7ea6\u675f\u590d\u6838\u3001\u6570\u636e\u6eaf\u6e90\u6838\u5bf9\u3001\u6ed1\u6863\/\u9000\u6863\u98ce\u9669\u8bc6\u522b<\/td>\n\u6821\u9a8c\u89c4\u5219\u96c6\u3001\u6570\u636e\u6bd4\u5bf9<\/td>\n<\/tr>\n
        9<\/td>\nExplainAgent \u89e3\u91ca\u95ee\u7b54<\/td>\n\u751f\u6210\u53ef\u89e3\u91ca\u7406\u7531\u3001\u652f\u6491\u591a\u8f6e\u8ffd\u95ee<\/td>\nRAG + \u5f15\u7528\u6eaf\u6e90<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

        \u5404 Agent \u7684\u6267\u884c\u8fb9\u754c：<\/p>\n

          \n
        • IntakeAgent\u3001PolicyAgent \u53ef\u4ee5\u5e76\u884c\u6267\u884c，\u4e24\u8005\u4e92\u4e0d\u4f9d\u8d56\u3002<\/li>\n
        • RetrievalAgent \u5185\u90e8\u6309\u9662\u6821\u5c42\u6b21\u6247\u51fa\u591a\u4e2a\u5e76\u884c\u5206\u652f（985\/211\u3001\u7701\u91cd\u70b9\u3001\u666e\u901a\u672c\u79d1\u3001\u804c\u4e1a\u672c\u79d1），\u7ed3\u679c\u6c47\u805a\u3002<\/li>\n
        • CriticAgent \u4e0e StrategyAgent \u4e4b\u95f4\u6784\u6210\u53cd\u9988\u73af，\u6700\u591a\u5faa\u73af 2 \u8f6e，\u8d85\u8fc7\u5219\u964d\u7ea7\u4e3a\u89c4\u5219\u5f15\u64ce\u8f93\u51fa\u5e76\u63d0\u793a\u4eba\u5de5\u590d\u6838\u3002<\/li>\n<\/ul>\n

          4.3 \u5171\u4eab\u72b6\u6001\u8bbe\u8ba1<\/h4>\n

          \u6240\u6709 Agent \u901a\u8fc7\u4e00\u4e2a\u663e\u5f0f\u7684\u72b6\u6001\u5bf9\u8c61\u4ea4\u6362\u6570\u636e\u3002\u5e76\u884c\u5206\u652f\u5199\u56de\u7684\u5b57\u6bb5\u5fc5\u987b\u5e26 reducer，\u5426\u5219\u4f1a\u4e92\u76f8\u8986\u76d6\u2014\u2014\u8fd9\u662f\u591a Agent \u843d\u5730\u65f6\u6700\u5bb9\u6613\u8e29\u7684\u5751\u4e4b\u4e00\u3002<\/p>\n

          python<\/p>\n

          from typing import Annotated, Literal, TypedDict import operator class StudentProfile(TypedDict, total=False): """\u8003\u751f\u7ed3\u6784\u5316\u753b\u50cf""" province: str # \u7701\u4efd，\u5982 "\u6cb3\u5357" exam_mode: str # "3+1+2" \u6216 "3+3" subject_group: str # \u9996\u9009\u79d1\u76ee\u7ec4："\u7269\u7406" \/ "\u5386\u53f2" electives: list[str] # \u518d\u9009\u79d1\u76ee，\u5982 ["\u5316\u5b66", "\u751f\u7269"] score: int # \u9ad8\u8003\u603b\u5206 rank: int # \u5168\u7701\u4f4d\u6b21（\u9996\u9009\u79d1\u76ee\u7ec4\u5185） major_pref: list[str] # \u4e13\u4e1a\u504f\u597d city_pref: list[str] # \u57ce\u5e02\u504f\u597d tuition_limit: int # \u5b66\u8d39\u4e0a\u9650（\u5143\/\u5e74） accept_adjust: bool # \u662f\u5426\u670d\u4ece\u4e13\u4e1a\u7ec4\u5185\u8c03\u5242 physical_limit: list[str] # \u4f53\u68c0\u53d7\u9650\u9879 single_subject: dict # \u5355\u79d1\u6210\u7ee9，\u5982 {"\u6570\u5b66": 132} class Candidate(TypedDict): """\u5019\u9009\u9662\u6821\u4e13\u4e1a\u7ec4""" code: str # \u9662\u6821\u4e13\u4e1a\u7ec4\u4ee3\u7801 school: str group: str majors: list[str] min_rank_hist: dict[int, int] # {\u5e74\u4efd: \u6700\u4f4e\u5f55\u53d6\u4f4d\u6b21} plan_count: int # \u5f53\u5e74\u62db\u751f\u8ba1\u5212\u6570 subject_req: list[str] # \u9009\u79d1\u8981\u6c42 source: str # \u6570\u636e\u6765\u6e90\u6807\u8bc6，\u7528\u4e8e\u6eaf\u6e90 class PlanState(TypedDict): """\u56fe\u5171\u4eab\u72b6\u6001""" profile: StudentProfile rules: dict # \u8be5\u7701\u5f53\u5e74\u89c4\u5219 equiv_rank: float # \u7b49\u6548\u4f4d\u6b21 candidates: list[Candidate] buckets: dict[str, list[dict]] # {"chong": […], "wen": […], "bao": […]} draft: list[dict] # \u5fd7\u613f\u8349\u8868 review: dict # \u5ba1\u6838\u610f\u89c1 trace: Annotated[list[str], operator.add] # \u5e76\u884c\u5206\u652f\u9700 reducer errors: Annotated[list[str], operator.add] <\/p>\n

          4.4 \u7f16\u6392\u62d3\u6251<\/h4>\n

          \u91c7\u7528 \u200cSupervisor + \u5206\u5c42\u200c \u7684\u6df7\u5408\u62d3\u6251，\u800c\u4e0d\u662f\u7eaf\u70b9\u5bf9\u70b9 swarm\u3002\u539f\u56e0\u662f\u5fd7\u613f\u586b\u62a5\u5bf9\u200c\u8def\u7531\u51c6\u786e\u7387\u200c\u7684\u8981\u6c42\u9ad8\u4e8e\u5bf9\u5ef6\u8fdf\u7684\u8981\u6c42：\u4e00\u6761\u5fd7\u613f\u653e\u9519\u6863\u4f4d，\u540e\u679c\u6bd4\u591a\u82b1\u4e24\u79d2\u4e25\u91cd\u5f97\u591a\u3002Supervisor \u7684\u804c\u8d23\u53ea\u6709\u8def\u7531，\u63d0\u793a\u8bcd\u805a\u7126，\u8def\u7531\u51c6\u786e\u7387\u66f4\u7a33\u3002<\/p>\n

          \u62d3\u6251\u7ed3\u6784\u5982\u4e0b：<\/p>\n

            \n
          • \u200c\u5165\u53e3\u200c：\u8003\u751f\u8f93\u5165 \u2192 Supervisor \u62c6\u89e3\u4efb\u52a1<\/li>\n
          • \u200c\u5e76\u884c\u6bb5\u200c：IntakeAgent \u4e0e PolicyAgent \u5e76\u884c；RetrievalAgent \u6309\u9662\u6821\u5c42\u6b21\u6247\u51fa<\/li>\n
          • \u200c\u6c47\u805a\u6bb5\u200c：RankAgent \u7ed3\u679c + \u5019\u9009\u96c6 \u2192 StrategyAgent \u5206\u5c42<\/li>\n
          • \u200c\u751f\u6210\u6bb5\u200c：PlanAgent \u4ea7\u51fa\u8349\u8868<\/li>\n
          • \u200c\u53cd\u9988\u73af\u200c：CriticAgent \u5ba1\u6838 \u2192 \u4e0d\u901a\u8fc7\u5219\u56de StrategyAgent \u91cd\u6392（\u2264 2 \u8f6e）<\/li>\n
          • \u200c\u4e2d\u65ad\u6bb5\u200c：\u4eba\u5de5\u786e\u8ba4（Human-in-the-Loop）<\/li>\n
          • \u200c\u51fa\u53e3\u200c：ExplainAgent \u8f93\u51fa\u7406\u7531\u4e0e\u98ce\u9669\u63d0\u793a<\/li>\n<\/ul>\n

            mermaid<\/p>\n

            \u4e0d\u901a\u8fc7 \u00b7 \u56de\u9000\u91cd\u6392<\/p>\n

            \u901a\u8fc7<\/p>\n

            \u8c03\u6574\u504f\u597d<\/p>\n

            \u786e\u8ba4<\/p>\n

            \u8003\u751f\u8f93\u5165<\/p>\n

            Supervisor \u8c03\u5ea6<\/p>\n

            IntakeAgent \u9700\u6c42\u89e3\u6790<\/p>\n

            PolicyAgent \u653f\u7b56\u89c4\u5219<\/p>\n

            RankAgent \u4f4d\u6b21\u6362\u7b97<\/p>\n

            RetrievalAgent \u6570\u636e\u68c0\u7d22 \u6309\u9662\u6821\u5c42\u6b21\u5e76\u884c\u6247\u51fa<\/p>\n

            StrategyAgent \u51b2\u7a33\u4fdd\u5206\u5c42<\/p>\n

            PlanAgent \u5fd7\u613f\u8868\u751f\u6210<\/p>\n

            CriticAgent \u6821\u9a8c\u5ba1\u6838<\/p>\n

            \u4eba\u5de5\u786e\u8ba4 HITL<\/p>\n

            ExplainAgent \u8f93\u51fa\u8349\u8868 + \u7406\u7531 + \u98ce\u9669<\/p>\n<\/p>\n<\/p>\n

            4.5 \u5173\u952e\u5b9e\u73b0\u9aa8\u67b6<\/h4>\n

            \u56fe\u6784\u5efa\u90e8\u5206，\u8282\u70b9\u4e0a\u76f4\u63a5\u6302\u8d85\u65f6\u4e0e\u91cd\u8bd5\u7b56\u7565：<\/p>\n

            python<\/p>\n

            from langgraph.graph import StateGraph, START, END from langgraph.types import Command, Send, RetryPolicy from langgraph.checkpoint.postgres import PostgresSaver def build_graph(checkpointer: PostgresSaver): g = StateGraph(PlanState) # \u8282\u70b9：\u8d85\u65f6\u4e0e\u91cd\u8bd5\u7b56\u7565\u6302\u5728\u8282\u70b9\u4e0a，\u4e0d\u7528\u5728\u4e1a\u52a1\u4ee3\u7801\u91cc\u5199 try\/except g.add_node("supervisor", supervisor_node) g.add_node("intake", intake_node, timeout=20) g.add_node("policy", policy_node, timeout=15) g.add_node("retrieve", retrieve_node, timeout=30, retry_policy=RetryPolicy(max_attempts=3)) g.add_node("convert_rank", convert_rank_node, timeout=10) g.add_node("stratify", stratify_node, timeout=20) g.add_node("build_plan", build_plan_node, timeout=30) g.add_node("critic", critic_node, timeout=30) g.add_node("confirm", confirm_node) # HITL \u4e2d\u65ad\u70b9 g.add_node("explain", explain_node, timeout=30) g.add_edge(START, "supervisor") g.add_conditional_edges( "supervisor", route_from_supervisor, { "intake": "intake", "policy": "policy", "convert_rank": "convert_rank", "retrieve": "retrieve", "stratify": "stratify", "build_plan": "build_plan", "critic": "critic", "explain": "explain", "end": END, }, ) g.add_edge("intake", "supervisor") # \u5b50 Agent \u6267\u884c\u5b8c\u56de\u8c03\u5ea6\u5668 g.add_edge("policy", "supervisor") g.add_edge("convert_rank", "stratify") g.add_edge("retrieve", "stratify") g.add_edge("stratify", "build_plan") g.add_edge("build_plan", "critic") g.add_edge("critic", "confirm") g.add_edge("confirm", "explain") g.add_edge("explain", END) return g.compile(checkpointer=checkpointer) <\/p>\n

            \u5e76\u884c\u6247\u51fa\u7528\u00a0Send，\u8ba9\u68c0\u7d22\u6309\u9662\u6821\u5c42\u6b21\u540c\u65f6\u94fa\u5f00：<\/p>\n

            python<\/p>\n

            def fan_out_retrieval(state: PlanState): """\u6309\u9662\u6821\u5c42\u6b21\u5e76\u884c\u53ec\u56de，\u7ed3\u679c\u901a\u8fc7 reducer \u6c47\u805a""" scopes = ["double_first_class", "provincial_key", "ordinary_undergrad", "vocational_undergrad"] return [Send("retrieve", {**state, "scope": s}) for s in scopes] <\/p>\n

            \u8282\u70b9\u5185\u7528\u00a0Command\u00a0\u505a\u6761\u4ef6\u8df3\u8f6c，\u6bd4\u5728\u8fb9\u51fd\u6570\u91cc\u5199\u5224\u65ad\u66f4\u76f4\u89c2：<\/p>\n

            python<\/p>\n

            def stratify_node(state: PlanState) -> Command[Literal["build_plan", "retrieve"]]: buckets = classify_by_rank(state["equiv_rank"], state["candidates"]) # \u4fdd\u5e95\u6863\u4e0d\u8db3 5 \u6761\u65f6\u56de\u9000\u8865\u68c0\u7d22，\u800c\u4e0d\u662f\u786c\u7740\u5934\u76ae\u5f80\u4e0b\u8d70 if len(buckets["bao"]) < 5: return Command( goto="retrieve", update={"errors": ["\u4fdd\u5e95\u6863\u4f4d\u4e0d\u8db3，\u89e6\u53d1\u8865\u5145\u68c0\u7d22"]}, ) return Command(goto="build_plan", update={"buckets": buckets}) <\/p>\n

            4.6 Human-in-the-Loop：\u5fd7\u613f\u8868\u786e\u8ba4<\/h4>\n

            \u5fd7\u613f\u586b\u62a5\u662f\u9ad8\u98ce\u9669\u51b3\u7b56，\u8349\u8868\u751f\u6210\u540e\u5fc5\u987b\u8ba9\u7528\u6237\u770b\u4e00\u773c\u518d\u8f93\u51fa\u89e3\u91ca\u3002interrupt()\u00a0\u5728\u8282\u70b9\u5185\u4efb\u610f\u4f4d\u7f6e\u6682\u505c\u56fe\u6267\u884c，\u914d\u5408 Checkpointer \u628a\u72b6\u6001\u843d\u76d8，\u7528\u6237\u786e\u8ba4\u540e\u518d\u7528\u00a0Command(resume=…)\u00a0\u7eed\u8dd1\u3002<\/p>\n

            python<\/p>\n

            from langgraph.types import interrupt, Command def confirm_node(state: PlanState): decision = interrupt({ "type": "plan_review", "draft": state["draft"], "risks": state["review"]["risks"], "question": "\u8bf7\u786e\u8ba4\u5fd7\u613f\u8349\u8868，\u6216\u63d0\u51fa\u9700\u8981\u8c03\u6574\u7684\u9879", }) # decision \u5c31\u662f\u524d\u7aef\u56de\u4f20\u7684 resume \u503c return { "draft": decision.get("draft", state["draft"]), "profile": {&zwnj;**state["profile"], **&zwnj;decision.get("profile_patch", {})}, } <\/p>\n

            \u8c03\u7528\u4fa7\u4e24\u9636\u6bb5\u6267\u884c：<\/p>\n

            python<\/p>\n

            config = {"configurable": {"thread_id": session_id}} # thread_id \u5373\u6301\u4e45\u5316\u6e38\u6807 # \u7b2c\u4e00\u9636\u6bb5：\u8dd1\u5230 confirm \u8282\u70b9\u6682\u505c graph.invoke(initial_input, config=config) # \u7b2c\u4e8c\u9636\u6bb5：\u7528\u6237\u786e\u8ba4\u540e\u5e26 resume \u503c\u7eed\u8dd1 graph.invoke(Command(resume={"draft": adjusted_draft}), config=config) <\/p>\n

            \u6ce8\u610f：interrupt\u00a0\u4f9d\u8d56 Checkpointer，\u6ca1\u6709 Checkpointer \u7684\u4e2d\u65ad\u56fe\u65e0\u6cd5\u6062\u590d；\u751f\u4ea7\u73af\u5883\u7528\u00a0PostgresSaver，MemorySaver\u00a0\u8fdb\u7a0b\u91cd\u542f\u5373\u4e22\u3002<\/p>\n

            4.7 \u5bb9\u9519\u3001\u8d85\u65f6\u4e0e\u964d\u7ea7<\/h4>\n

            LangGraph 1.2 \u5f15\u5165\u4e86\u8282\u70b9\u7ea7\u8d85\u65f6（NodeTimeoutError）\u4e0e\u8282\u70b9\u7ea7\u9519\u8bef\u5904\u7406\u5668，\u8fd9\u5bf9\u5fd7\u613f\u586b\u62a5\u573a\u666f\u5f88\u5173\u952e\u2014\u2014\u68c0\u7d22\u5916\u90e8\u6570\u636e\u6e90\u7684\u8282\u70b9\u968f\u65f6\u53ef\u80fd\u8d85\u65f6\u3002<\/p>\n

            \u8868\u683c<\/p>\n\n\u5931\u6548\u573a\u666f\u5904\u7406\u7b56\u7565<\/tr>\n\n\n\n\n\n\n\n
            \u5355\u4e2a\u68c0\u7d22\u8282\u70b9\u8d85\u65f6<\/td>\n\u8be5\u5206\u652f\u8fd4\u56de\u7a7a\u7ed3\u679c\u5e76\u8bb0\u5f55\u00a0errors，\u5176\u4f59\u5206\u652f\u7ee7\u7eed；\u4e0d\u963b\u585e\u6574\u8f6e<\/td>\n<\/tr>\n
            \u5916\u90e8\u6570\u636e\u6e90\u4e0d\u53ef\u7528<\/td>\n\u964d\u7ea7\u8bfb Redis \u7f13\u5b58\u6216\u4e0a\u4e00\u7248\u672c\u5feb\u7167，\u5e76\u5728\u8f93\u51fa\u4e2d\u6807\u6ce8\u6570\u636e\u65e5\u671f<\/td>\n<\/tr>\n
            \u6a21\u578b\u7f51\u5173\u4e0d\u53ef\u7528<\/td>\n\u6574\u56fe\u964d\u7ea7\u4e3a\u7eaf\u89c4\u5219\u5f15\u64ce（\u4f4d\u6b21\u6362\u7b97 + \u786c\u7ea6\u675f\u8fc7\u6ee4 + \u68af\u5ea6\u5206\u914d），\u4fdd\u8bc1\u6838\u5fc3\u53ef\u7528<\/td>\n<\/tr>\n
            \u5ba1\u6838\u53cd\u9988\u73af\u8d85\u8fc7 2 \u8f6e<\/td>\n\u4e2d\u6b62\u5faa\u73af，\u8f93\u51fa\u5f53\u524d\u6700\u4f18\u89e3\u5e76\u63d0\u793a\u300c\u5efa\u8bae\u4eba\u5de5\u590d\u6838\u300d<\/td>\n<\/tr>\n
            \u72b6\u6001\u5b57\u6bb5\u7f3a\u5931<\/td>\n\u72b6\u6001\u5bf9\u8c61\u6309\u4e25\u683c DTO \u5904\u7406，\u5199\u5165\u524d\u5e8f\u5217\u5316\u6821\u9a8c，\u907f\u514d\u9759\u9ed8\u4e22\u5b57\u6bb5<\/td>\n<\/tr>\n
            \u5927\u6587\u4ef6\u8fdb\u72b6\u6001<\/td>\n\u72b6\u6001\u91cc\u53ea\u5b58\u5f15\u7528 URL \u4e0e\u5143\u6570\u636e，\u907f\u514d Checkpoint \u81a8\u80c0\u62d6\u6162\u8bfb\u5199<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
            \n

            \u4e94\u3001\u6838\u5fc3\u7b97\u6cd5\u4e0e\u6570\u636e<\/h3>\n

            5.1 \u6570\u636e\u6e90\u4e0e\u6570\u636e\u6cbb\u7406<\/h4>\n

            \u8868\u683c<\/p>\n\n\u6570\u636e\u7c7b\u522b\u6765\u6e90\u7528\u9014\u66f4\u65b0\u9891\u7387<\/tr>\n\n\n\n\n\n\n\n\n
            \u9662\u6821\u4e0e\u4e13\u4e1a\u57fa\u7840\u5e93<\/td>\n\u6559\u80b2\u90e8\u9633\u5149\u9ad8\u8003\u5e73\u53f0\u3001\u5168\u56fd\u9ad8\u7b49\u5b66\u6821\u540d\u5355<\/td>\n\u9662\u6821\u5c42\u6b21\u3001\u529e\u5b66\u6027\u8d28\u3001\u4e13\u4e1a\u76ee\u5f55<\/td>\n\u5e74\u5ea6<\/td>\n<\/tr>\n
            \u62db\u751f\u7ae0\u7a0b\u4e0e\u9009\u79d1\u8981\u6c42<\/td>\n\u9ad8\u6821\u62db\u751f\u7f51\u3001\u9633\u5149\u9ad8\u8003\u5e73\u53f0<\/td>\n\u786c\u7ea6\u675f\u8fc7\u6ee4\u3001\u4e13\u4e1a\u89e3\u8bfb<\/td>\n\u5e74\u5ea6<\/td>\n<\/tr>\n
            \u4e00\u5206\u4e00\u6bb5\u8868<\/td>\n\u5404\u7701\u6559\u80b2\u8003\u8bd5\u9662<\/td>\n\u4f4d\u6b21\u5b9a\u4f4d\u4e0e\u7b49\u6548\u4f4d\u6b21\u6362\u7b97<\/td>\n\u51fa\u5206\u540e\u5373\u65f6<\/td>\n<\/tr>\n
            \u6279\u6b21\u63a7\u5236\u7ebf<\/td>\n\u5404\u7701\u6559\u80b2\u8003\u8bd5\u9662<\/td>\n\u7279\u63a7\u7ebf\/\u672c\u79d1\u7ebf\u53e3\u5f84\u6362\u7b97<\/td>\n\u51fa\u5206\u540e\u5373\u65f6<\/td>\n<\/tr>\n
            \u5386\u5e74\u6295\u6863\u7ebf\u4e0e\u5f55\u53d6\u4f4d\u6b21<\/td>\n\u5404\u7701\u6559\u80b2\u8003\u8bd5\u9662\u3001\u5b98\u65b9\u516c\u793a<\/td>\n\u51b2\u7a33\u4fdd\u5206\u5c42\u4f9d\u636e<\/td>\n\u5e74\u5ea6<\/td>\n<\/tr>\n
            \u5f53\u5e74\u62db\u751f\u8ba1\u5212<\/td>\n\u5404\u7701\u62db\u751f\u4e13\u4e1a\u76ee\u5f55<\/td>\n\u8ba1\u5212\u6570\u4e0e\u7a33\u5b9a\u6027\u8bc4\u4f30<\/td>\n\u5e74\u5ea6<\/td>\n<\/tr>\n
            \u5c31\u4e1a\u4e0e\u6df1\u9020\u6570\u636e<\/td>\n\u9ad8\u6821\u5c31\u4e1a\u8d28\u91cf\u62a5\u544a<\/td>\n\u4e13\u4e1a\u63a8\u8350\u8f85\u52a9<\/td>\n\u5e74\u5ea6<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

            \u6cbb\u7406\u89c4\u5219：<\/p>\n

          • \u200c\u5355\u4e00\u4e8b\u5b9e\u6765\u6e90\u200c：\u6bcf\u4e2a\u5b57\u6bb5\u6307\u5b9a\u552f\u4e00\u6743\u5a01\u6765\u6e90，\u51b2\u7a81\u65f6\u4ee5\u7701\u8003\u8bd5\u9662 > \u9633\u5149\u9ad8\u8003 > \u9ad8\u6821\u5b98\u7f51 > \u7b2c\u4e09\u65b9\u7684\u987a\u5e8f\u53d6\u503c\u3002<\/li>\n
          • \u200c\u7248\u672c\u5316\u200c：\u6240\u6709\u6570\u636e\u5e26\u00a0source\u3001publish_date\u3001version\u00a0\u4e09\u4e2a\u5b57\u6bb5，\u652f\u6301\u56de\u6eaf\u3002<\/li>\n
          • \u200c\u5165\u5e93\u6821\u9a8c\u200c：\u4f4d\u6b21\u5fc5\u987b\u5355\u8c03（\u5206\u6570\u8d8a\u9ad8\u4f4d\u6b21\u8d8a\u5c0f）\u3001\u8ba1\u5212\u6570\u5fc5\u987b\u4e3a\u6b63\u3001\u5e74\u4efd\u8fde\u7eed，\u6821\u9a8c\u4e0d\u901a\u8fc7\u8fdb\u5165\u4eba\u5de5\u590d\u6838\u961f\u5217\u3002<\/li>\n
          • \u200c\u9891\u7387\u63a7\u5236\u200c：\u5bf9\u5b98\u65b9\u7ad9\u70b9\u6293\u53d6\u8bbe\u7f6e\u9650\u9891\u4e0e\u9000\u907f\u91cd\u8bd5，\u4f18\u5148\u4f7f\u7528\u5b98\u65b9\u5f00\u653e\u6570\u636e\u63a5\u53e3\u3002<\/li>\n

            5.2 \u7b49\u6548\u4f4d\u6b21\u6362\u7b97<\/h4>\n

            \u76f4\u63a5\u62ff\u4eca\u5e74\u5206\u6570\u53bb\u6bd4\u5f80\u5e74\u5f55\u53d6\u7ebf，\u7b49\u4e8e\u7528\u4e24\u628a\u4e0d\u540c\u7684\u5c3a\u5b50\u91cf\u957f\u5ea6\u3002\u6b63\u786e\u505a\u6cd5\u662f\u5148\u6362\u7b97\u3002<\/p>\n

            \u5f53\u5e74\u4f4d\u6b21\u6362\u7b97\u4e3a\u5f80\u5e74\u7b49\u6548\u4f4d\u6b21\u7684\u516c\u5f0f：<\/p>\n

            text<\/p>\n

            \u5f80\u5e74\u7b49\u6548\u4f4d\u6b21 = \u5f53\u5e74\u4e2a\u4eba\u4f4d\u6b21 \u00d7 (\u5f80\u5e74\u5bf9\u5e94\u6279\u6b21\u7ebf\u4f4d\u6b21 \u00f7 \u5f53\u5e74\u5bf9\u5e94\u6279\u6b21\u7ebf\u4f4d\u6b21) <\/p>\n

            \u5176\u4e2d，\u5206\u6570\u5728\u7279\u63a7\u7ebf\u4e4b\u4e0a\u7528\u7279\u63a7\u7ebf\u53e3\u5f84，\u4ecb\u4e8e\u672c\u79d1\u7ebf\u4e0e\u7279\u63a7\u7ebf\u4e4b\u95f4\u7528\u672c\u79d1\u7ebf\u53e3\u5f84\u3002<\/p>\n

            python<\/p>\n

            def equivalent_rank(rank_now: int, line_rank_now: int, line_rank_prev: int) -> float: """ rank_now: \u8003\u751f\u5f53\u5e74\u5168\u7701\u4f4d\u6b21 line_rank_now: \u5f53\u5e74\u5bf9\u5e94\u6279\u6b21\u7ebf（\u7279\u63a7\u7ebf\/\u672c\u79d1\u7ebf）\u5bf9\u5e94\u7684\u4f4d\u6b21 line_rank_prev: \u5f80\u5e74\u540c\u4e00\u6279\u6b21\u7ebf\u5bf9\u5e94\u7684\u4f4d\u6b21 """ if line_rank_now <= 0: raise ValueError("\u6279\u6b21\u7ebf\u4f4d\u6b21\u5fc5\u987b\u4e3a\u6b63") return rank_now * line_rank_prev \/ line_rank_now <\/p>\n

            \u4e3a\u4ec0\u4e48\u4e0d\u7528\u7b49\u6548\u5206？\u4e3e\u4e2a\u771f\u5b9e\u5b58\u5728\u7684\u5e74\u4efd\u73b0\u8c61：\u67d0\u7701\u7269\u7406\u7ec4 2025 \u5e74\u4e0e 2026 \u5e74\u7279\u63a7\u7ebf\u5206\u6570\u5b8c\u5168\u76f8\u540c，\u90fd\u662f 514 \u5206，\u4f46 514 \u5206\u5bf9\u5e94\u7684\u4f4d\u6b21\u4ece 114928 \u540d\u53d8\u6210 117852 \u540d，\u4e00\u5e74\u5dee\u4e86\u8fd1 3000 \u540d\u3002\u7b49\u6548\u5206\u6cd5\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\u4f1a\u7b97\u51fa\u5b8c\u5168\u4e00\u81f4\u7684\u7ed3\u8bba，\u800c\u7b49\u6548\u4f4d\u6b21\u6cd5\u80fd\u6355\u6349\u5230\u8fd9\u4e2a\u6f02\u79fb\u3002\u540c\u5206\u4e0d\u540c\u4f4d\u6b21\u7684\u5e74\u4efd，\u4f4d\u6b21\u53e3\u5f84\u624d\u662f\u53ef\u9760\u7684\u3002<\/p>\n

            5.3 \u51b2\u7a33\u4fdd\u5206\u5c42\u4e0e\u6982\u7387\u4f30\u8ba1<\/h4>\n

            \u4ee5\u8fd1 3 \u5e74\u6700\u4f4e\u5f55\u53d6\u4f4d\u6b21\u7684\u52a0\u6743\u5747\u503c\u4f5c\u4e3a\u57fa\u51c6（\u8d8a\u8fd1\u7684\u5e74\u4efd\u6743\u91cd\u8d8a\u9ad8），\u4e0e\u8003\u751f\u7b49\u6548\u4f4d\u6b21\u6bd4\u8f83\u5206\u5c42：<\/p>\n

            python<\/p>\n

            WEIGHTS = {0: 0.5, 1: 0.3, 2: 0.2} # 0 \u8868\u793a\u6700\u8fd1\u4e00\u5e74 def weighted_min_rank(min_rank_hist: dict[int, int], latest_year: int) -> float: total_w, acc = 0.0, 0.0 for offset, w in WEIGHTS.items(): year = latest_year – offset if year in min_rank_hist: acc += min_rank_hist[year] * w total_w += w return acc \/ total_w if total_w else float("inf") def classify(equiv_rank: float, base_rank: float, plan_count: int) -> str: """base_rank \u4e3a\u8fd1\u4e09\u5e74\u52a0\u6743\u6700\u4f4e\u4f4d\u6b21；\u4f4d\u6b21\u6570\u503c\u8d8a\u5c0f\u4ee3\u8868\u6392\u540d\u8d8a\u9760\u524d""" ratio = base_rank \/ equiv_rank if plan_count < 10: # \u8ba1\u5212\u6570\u5c11\u7684\u4e13\u4e1a\u7ec4\u6ce2\u52a8\u5927，\u6574\u4f53\u964d\u4e00\u6863\u5904\u7406 ratio *= 0.95 if ratio < 0.95: # \u5f80\u5e74\u6700\u4f4e\u4f4d\u6b21\u4f18\u4e8e\u8003\u751f\u4f4d\u6b21 \u2192 \u51b2\u523a return "chong" if ratio <= 1.15: # \u4e0e\u8003\u751f\u4f4d\u6b21\u5339\u914d \u2192 \u7a33\u59a5 return "wen" return "bao" # \u660e\u663e\u4f4e\u4e8e\u8003\u751f\u4f4d\u6b21 \u2192 \u4fdd\u5e95 <\/p>\n

            \u7ecf\u9a8c\u6982\u7387\u533a\u95f4\u4e0e\u540d\u989d\u5206\u914d\u53c2\u8003：<\/p>\n

            \u8868\u683c<\/p>\n\n\u6863\u4f4d\u4f4d\u6b21\u5173\u7cfb\u7ecf\u9a8c\u5f55\u53d6\u6982\u7387\u5e38\u7528\u540d\u989d\u914d\u6bd4<\/tr>\n\n\n\n\n
            \u51b2<\/td>\n\u5f80\u5e74\u6700\u4f4e\u4f4d\u6b21\u4f18\u4e8e\u8003\u751f\u7ea6 5%\u201420%<\/td>\n\u7ea6 40%\u201479%<\/td>\n30%<\/td>\n<\/tr>\n
            \u7a33<\/td>\n\u4e0e\u8003\u751f\u4f4d\u6b21\u76f8\u5f53\u6216\u7565\u4f4e<\/td>\n\u7ea6 80%\u201494%<\/td>\n50%<\/td>\n<\/tr>\n
            \u4fdd<\/td>\n\u660e\u663e\u4f4e\u4e8e\u8003\u751f\u4f4d\u6b21（15% \u4ee5\u4e0a）<\/td>\n\u7ea6 95%\u201498%<\/td>\n20%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

            \u5fd7\u613f\u603b\u91cf\u6309\u7701\u4efd\u89c4\u5219\u9002\u914d：\u9662\u6821\u4e13\u4e1a\u7ec4\u6a21\u5f0f\u7684\u7701\u4efd\u5fd7\u613f\u6570\u901a\u5e38\u4e3a 30\u201445 \u4e2a，\u4e13\u4e1a+\u9662\u6821\u6a21\u5f0f\u7684\u7701\u4efd\u53ef\u8fbe 96\u2014112 \u4e2a\u3002\u540e\u8005\u7684\u4fdd\u5e95\u5fd7\u613f\u6570\u91cf\u5e94\u9002\u5f53\u589e\u52a0，\u5e76\u628a\u76f8\u90bb\u5fd7\u613f\u4e4b\u95f4\u7684\u4f4d\u6b21\u5dee\u62c9\u5f00，\u907f\u514d\u624e\u5806\u3002<\/p>\n

            5.4 \u786c\u7ea6\u675f\u8fc7\u6ee4<\/h4>\n

            \u56db\u6761\u786c\u7ea6\u675f\u5fc5\u987b\u9010\u6761\u547d\u4e2d，\u4efb\u4e00\u4e0d\u6ee1\u8db3\u76f4\u63a5\u5254\u9664，\u4e14\u5254\u9664\u7406\u7531\u8981\u80fd\u5c55\u793a\u7ed9\u7528\u6237：<\/p>\n

            python<\/p>\n

            def hard_filter(cand: Candidate, profile: StudentProfile) -> tuple[bool, str]: # 1. \u9009\u79d1\u8981\u6c42\u5339\u914d need = set(cand["subject_req"]) have = {profile["subject_group"], *profile["electives"]} if need and not need.issubset(have): return False, f"\u9009\u79d1\u4e0d\u7b26：\u8981\u6c42 {sorted(need)}" # 2. \u5355\u79d1\u6210\u7ee9\u8981\u6c42（\u90e8\u5206\u9662\u6821\u5bf9\u6570\u5b66\/\u5916\u8bed\u8bbe\u6700\u4f4e\u5206） for subject, floor in cand.get("single_req", {}).items(): if profile["single_subject"].get(subject, 0) < floor: return False, f"{subject} \u5355\u79d1\u672a\u8fbe {floor} \u5206" # 3. \u4f53\u68c0\u53d7\u9650 if set(cand.get("physical_ban", [])) & set(profile["physical_limit"]): return False, "\u4f53\u68c0\u7ed3\u8bba\u53d7\u9650" # 4. \u5b66\u8d39\u4e0e\u5916\u8bed\u8bed\u79cd if cand.get("tuition", 0) > profile.get("tuition_limit", 10 ** 9): return False, "\u5b66\u8d39\u8d85\u51fa\u9884\u7b97" return True, "" <\/p>\n

            5.5 \u5fd7\u613f\u6392\u5e8f\u6253\u5206<\/h4>\n

            \u5206\u5c42\u4e4b\u540e\u8fd8\u8981\u5728\u6863\u5185\u6392\u5e8f\u3002\u6253\u5206\u51fd\u6570\u628a\u5f55\u53d6\u6982\u7387\u5339\u914d\u5ea6\u3001\u9662\u6821\u5c42\u6b21\u3001\u4e13\u4e1a\u5339\u914d\u5ea6\u3001\u57ce\u5e02\u504f\u597d\u548c\u98ce\u9669\u60e9\u7f5a\u52a0\u6743\u5408\u6210：<\/p>\n

            python<\/p>\n

            def score(cand: dict, profile: StudentProfile) -> float: s = 0.0 s += 0.35 * cand["match_prob"] # \u5f55\u53d6\u6982\u7387\u5339\u914d\u5ea6 s += 0.20 * cand["school_tier_score"] # \u9662\u6821\u5c42\u6b21（\u53cc\u4e00\u6d41\/\u7701\u91cd\u70b9\u2026） s += 0.25 * major_match(cand["majors"], profile["major_pref"]) s += 0.10 * city_match(cand["city"], profile["city_pref"]) s -= 0.10 * cand["volatility_penalty"] # \u5927\u5c0f\u5e74\u6ce2\u52a8\u60e9\u7f5a if cand["plan_count"] < 10: s -= 0.05 # \u8ba1\u5212\u6570\u5c11，\u7a33\u5b9a\u6027\u5dee return s <\/p>\n

            \u6392\u5e8f\u539f\u5219：\u8d8a\u5fc3\u4eea\u7684\u6392\u5728\u8d8a\u524d\u9762，\u56e0\u4e3a\u5e73\u884c\u5fd7\u613f\u6309\u987a\u5e8f\u68c0\u7d22\u3001\u4e00\u8f6e\u6295\u6863，\u987a\u5e8f\u76f4\u63a5\u51b3\u5b9a\u6295\u6863\u5148\u540e\u3002<\/p>\n

            \n

            \u516d\u3001\u63a5\u53e3\u8bbe\u8ba1<\/h3>\n

            6.1 \u6838\u5fc3\u63a5\u53e3<\/h4>\n

            \u8868\u683c<\/p>\n\n\u65b9\u6cd5\u8def\u5f84\u8bf4\u660e<\/tr>\n\n\n\n\n\n\n\n
            POST<\/td>\n\/api\/v1\/profile\/parse<\/td>\n\u89e3\u6790\u81ea\u7136\u8bed\u8a00\u6216\u8868\u5355\u8f93\u5165\u4e3a\u7ed3\u6784\u5316\u753b\u50cf<\/td>\n<\/tr>\n
            GET<\/td>\n\/api\/v1\/rules\/{province}<\/td>\n\u83b7\u53d6\u7701\u4efd\u5f53\u5e74\u89c4\u5219<\/td>\n<\/tr>\n
            POST<\/td>\n\/api\/v1\/plan\/stream<\/td>\nSSE \u6d41\u5f0f\u751f\u6210\u5fd7\u613f\u8349\u8868，\u5b9e\u65f6\u63a8\u9001 Agent \u8fdb\u5ea6<\/td>\n<\/tr>\n
            POST<\/td>\n\/api\/v1\/plan\/{thread_id}\/resume<\/td>\n\u63d0\u4ea4\u4eba\u5de5\u786e\u8ba4\u7ed3\u679c，\u6062\u590d\u4e2d\u65ad\u7684\u56fe\u6267\u884c<\/td>\n<\/tr>\n
            GET<\/td>\n\/api\/v1\/plan\/{thread_id}<\/td>\n\u67e5\u8be2\u6307\u5b9a\u4f1a\u8bdd\u7684\u8349\u8868\u4e0e\u5ba1\u6838\u610f\u89c1<\/td>\n<\/tr>\n
            GET<\/td>\n\/api\/v1\/plan\/{thread_id}\/export<\/td>\n\u5bfc\u51fa Excel \/ PDF<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

            6.2 \u6d41\u5f0f\u63a5\u53e3\u5b9e\u73b0<\/h4>\n

            python<\/p>\n

            from fastapi import FastAPI from fastapi.responses import StreamingResponse import json app = FastAPI() @app.post("\/api\/v1\/plan\/stream") async def plan_stream(req: PlanRequest): async def gen(): config = {"configurable": {"thread_id": req.session_id}} # stream_mode="updates" \u9010\u8282\u70b9\u63a8\u9001，\u524d\u7aef\u53ef\u5b9e\u65f6\u5c55\u793a\u534f\u4f5c\u8fc7\u7a0b async for chunk in graph.astream(req.model_dump(), config=config, stream_mode="updates"): payload = json.dumps(chunk, ensure_ascii=False) yield f"data: {payload}\\\\n\\\\n" return StreamingResponse(gen(), media_type="text\/event-stream") <\/p>\n

            \u524d\u7aef\u6309\u00a0stream_mode="updates"\u00a0\u7684\u8282\u70b9\u540d\u6620\u5c04\u6210\u8fdb\u5ea6\u6587\u6848，\u4f8b\u5982\u300c\u6b63\u5728\u68c0\u7d22\u5019\u9009\u9662\u6821\u4e13\u4e1a\u7ec4\u2026\u300d\u300c\u6b63\u5728\u6821\u9a8c\u9009\u79d1\u4e0e\u4f53\u68c0\u7ea6\u675f\u2026\u300d，\u8ba9\u591a Agent \u7684\u534f\u4f5c\u8fc7\u7a0b\u5bf9\u7528\u6237\u53ef\u89c1\u3002\u8fd9\u4e00\u6b65\u5bf9\u5efa\u7acb\u4fe1\u4efb\u5f88\u91cd\u8981\u2014\u2014\u7528\u6237\u770b\u4e0d\u5230\u8fc7\u7a0b，\u5c31\u4e0d\u4f1a\u76f8\u4fe1\u7ed3\u679c\u3002<\/p>\n

            \n

            \u4e03\u3001\u9879\u76ee\u8ba1\u5212\u4e0e\u91cc\u7a0b\u7891<\/h3>\n

            \u603b\u5de5\u671f 12 \u5468，\u6309\u91cc\u7a0b\u7891\u4ea4\u4ed8\u3002<\/p>\n

            \u8868\u683c<\/p>\n\n\u91cc\u7a0b\u7891\u5468\u671f\u4e3b\u8981\u5de5\u4f5c\u4ea4\u4ed8\u7269\u9a8c\u6536\u70b9<\/tr>\n\n\n\n\n\n\n\n
            M1 \u7acb\u9879\u4e0e\u5408\u89c4\u8bc4\u5ba1<\/td>\n\u7b2c 1\u20142 \u5468<\/td>\n\u9700\u6c42\u786e\u8ba4\u3001\u6570\u636e\u6e90\u68b3\u7406\u3001\u5408\u89c4\u7ea2\u7ebf\u8bc4\u5ba1\u3001\u67b6\u6784\u8bc4\u5ba1<\/td>\n\u9700\u6c42\u89c4\u683c\u8bf4\u660e\u4e66\u3001\u6570\u636e\u6e90\u6e05\u5355\u3001\u5408\u89c4\u8bc4\u5ba1\u8bb0\u5f55<\/td>\n\u9700\u6c42\u51bb\u7ed3，\u7ea2\u7ebf\u6761\u6b3e\u786e\u8ba4<\/td>\n<\/tr>\n
            M2 \u6570\u636e\u5e95\u5ea7<\/td>\n\u7b2c 3\u20145 \u5468<\/td>\n\u91c7\u96c6\u3001\u6e05\u6d17\u3001\u5165\u5e93\u3001\u6821\u9a8c\u89c4\u5219\u3001\u68c0\u7d22\u5c42\u5f00\u53d1<\/td>\n\u62db\u751f\u6570\u636e\u5e93\u3001\u6570\u636e\u5b57\u5178\u3001\u68c0\u7d22 API<\/td>\n\u6570\u636e\u8986\u76d6\u7387 \u2265 60 \u4e07\u6761，\u6821\u9a8c\u901a\u8fc7\u7387 \u2265 99%<\/td>\n<\/tr>\n
            M3 Agent \u4e0e\u7f16\u6392<\/td>\n\u7b2c 6\u20148 \u5468<\/td>\n9 \u4e2a Agent \u5b9e\u73b0\u3001LangGraph \u56fe\u642d\u5efa\u3001\u72b6\u6001\u8bbe\u8ba1<\/td>\nAgent \u4ee3\u7801\u5e93\u3001\u56fe\u5b9a\u4e49\u3001\u5355\u5143\u6d4b\u8bd5<\/td>\n\u5355\u94fe\u8def\u7aef\u5230\u7aef\u8dd1\u901a，\u8282\u70b9\u7ea7 trace \u53ef\u67e5<\/td>\n<\/tr>\n
            M4 \u4ea4\u4e92\u4e0e HITL<\/td>\n\u7b2c 9\u201410 \u5468<\/td>\n\u524d\u7aef\u9875\u9762\u3001SSE \u6d41\u5f0f\u3001\u4eba\u5de5\u786e\u8ba4\u4e0e\u591a\u8f6e\u8ffd\u95ee<\/td>\n\u524d\u7aef\u5e94\u7528\u3001API \u6587\u6863<\/td>\n\u6d41\u5f0f\u9996\u5b57\u8282 \u2264 1.5s，HITL \u6062\u590d\u6210\u529f\u7387 100%<\/td>\n<\/tr>\n
            M5 \u8bc4\u6d4b\u4e0e\u8c03\u4f18<\/td>\n\u7b2c 11 \u5468<\/td>\n\u7528 2023\u20142025 \u5e74\u771f\u5b9e\u6570\u636e\u56de\u6d4b\u3001\u5e7b\u89c9\u7387\u7edf\u8ba1\u3001\u6210\u672c\u4f18\u5316<\/td>\n\u8bc4\u6d4b\u62a5\u544a<\/td>\n\u7a33\u4fdd\u6863\u547d\u4e2d\u7387 \u2265 92%，\u6ed1\u6863\u7387 0<\/td>\n<\/tr>\n
            M6 \u7070\u5ea6\u4e0e\u4e0a\u7ebf<\/td>\n\u7b2c 12 \u5468<\/td>\n\u7070\u5ea6\u53d1\u5e03\u3001\u76d1\u63a7\u544a\u8b66\u3001\u8fd0\u8425\u624b\u518c<\/td>\n\u90e8\u7f72\u6587\u6863\u3001\u8fd0\u7ef4\u624b\u518c\u3001\u7528\u6237\u624b\u518c<\/td>\n\u7070\u5ea6 7 \u5929\u65e0 P0 \u6545\u969c<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

            \u5173\u952e\u4f9d\u8d56\u4e0e\u5361\u70b9：<\/p>\n

              \n
            • M2 \u7684\u6570\u636e\u6cbb\u7406\u8d28\u91cf\u76f4\u63a5\u51b3\u5b9a M5 \u7684\u8bc4\u6d4b\u7ed3\u679c，\u82e5\u6570\u636e\u6e90\u53d7\u9650\u9700\u63d0\u524d\u542f\u52a8\u6388\u6743\u8c08\u5224\u3002<\/li>\n
            • M3 \u7684 Supervisor \u8def\u7531\u51c6\u786e\u7387\u9700\u5728 M5 \u524d\u8fbe\u5230 94% \u4ee5\u4e0a，\u5426\u5219\u56de\u9000\u5230\u89c4\u5219\u4f18\u5148\u8def\u7531\u3002<\/li>\n
            • M4 \u7684 HITL \u4f9d\u8d56 Checkpointer \u7a33\u5b9a\u8fd0\u884c，M3 \u9636\u6bb5\u5fc5\u987b\u5148\u5b8c\u6210\u6301\u4e45\u5316\u9a8c\u8bc1\u3002<\/li>\n<\/ul>\n
              \n

              \u516b\u3001\u4ea4\u4ed8\u7269\u6e05\u5355<\/h3>\n

              \u8868\u683c<\/p>\n\n\u5e8f\u53f7\u4ea4\u4ed8\u7269\u5f62\u5f0f\u8bf4\u660e<\/tr>\n\n\n\n\n\n\n\n\n\n\n
              D1<\/td>\n\u9700\u6c42\u89c4\u683c\u8bf4\u660e\u4e66<\/td>\n\u6587\u6863<\/td>\n\u542b\u5168\u90e8 FR\/NFR \u7f16\u53f7\u4e0e\u9a8c\u6536\u53e3\u5f84<\/td>\n<\/tr>\n
              D2<\/td>\n\u7cfb\u7edf\u8bbe\u8ba1\u8bf4\u660e\u4e66<\/td>\n\u6587\u6863<\/td>\n\u67b6\u6784\u56fe\u3001Agent \u804c\u8d23\u3001\u72b6\u6001\u5b9a\u4e49\u3001\u65f6\u5e8f\u8bf4\u660e<\/td>\n<\/tr>\n
              D3<\/td>\n\u6e90\u7801\u5de5\u7a0b<\/td>\n\u4ee3\u7801\u4ed3\u5e93<\/td>\n\u542b Agent \u5c42\u3001\u7f16\u6392\u5c42\u3001\u670d\u52a1\u5c42\u3001\u524d\u7aef<\/td>\n<\/tr>\n
              D4<\/td>\n\u6570\u636e\u5b57\u5178\u4e0e\u6cbb\u7406\u89c4\u5219<\/td>\n\u6587\u6863 + SQL<\/td>\n\u8868\u7ed3\u6784\u3001\u5b57\u6bb5\u6765\u6e90\u3001\u6821\u9a8c\u89c4\u5219<\/td>\n<\/tr>\n
              D5<\/td>\n\u90e8\u7f72\u65b9\u6848<\/td>\nDocker Compose \/ K8s \u6e05\u5355<\/td>\n\u4e00\u952e\u62c9\u8d77\u5168\u5957\u670d\u52a1<\/td>\n<\/tr>\n
              D6<\/td>\nAPI \u6587\u6863<\/td>\nOpenAPI<\/td>\n\u542b SSE \u4e0e HITL \u6062\u590d\u63a5\u53e3<\/td>\n<\/tr>\n
              D7<\/td>\n\u8bc4\u6d4b\u62a5\u544a<\/td>\n\u6587\u6863<\/td>\n\u56de\u6d4b\u6307\u6807\u3001\u5e7b\u89c9\u7387\u3001\u6210\u672c\u3001\u5ef6\u8fdf<\/td>\n<\/tr>\n
              D8<\/td>\n\u8fd0\u7ef4\u624b\u518c<\/td>\n\u6587\u6863<\/td>\n\u76d1\u63a7\u6307\u6807\u3001\u544a\u8b66\u9608\u503c\u3001\u964d\u7ea7\u9884\u6848<\/td>\n<\/tr>\n
              D9<\/td>\n\u7528\u6237\u4f7f\u7528\u624b\u518c<\/td>\n\u6587\u6863<\/td>\n\u542b\u514d\u8d23\u58f0\u660e\u4e0e\u586b\u62a5\u8fb9\u754c\u8bf4\u660e<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
              \n

              \u4e5d\u3001\u9a8c\u6536\u6807\u51c6<\/h3>\n

              \u9a8c\u6536\u5206\u529f\u80fd\u3001\u6027\u80fd\u3001\u8d28\u91cf\u3001\u5408\u89c4\u56db\u90e8\u5206，\u5168\u90e8\u901a\u8fc7\u65b9\u53ef\u7ed3\u9879\u3002<\/p>\n

              \u200c\u529f\u80fd\u9a8c\u6536\u200c<\/p>\n

            • \u8986\u76d6 29 \u4e2a\u65b0\u9ad8\u8003\u7701\u4efd，\u89c4\u5219\u52a0\u8f7d\u6b63\u786e\u7387 100%\u3002<\/li>\n
            • \u4ece\u8f93\u5165\u5230\u8f93\u51fa\u5b8c\u6574\u8349\u8868，\u5168\u6d41\u7a0b\u65e0\u4eba\u5de5\u5e72\u9884\u53ef\u8dd1\u901a（HITL \u786e\u8ba4\u9664\u5916）\u3002<\/li>\n
            • \u6bcf\u6761\u5fd7\u613f\u53ef\u5c55\u5f00\u67e5\u770b\u6570\u636e\u6765\u6e90\u4e0e\u6863\u4f4d\u5224\u5b9a\u4f9d\u636e\u3002<\/li>\n

              \u200c\u6027\u80fd\u9a8c\u6536\u200c<\/p>\n

              \u8868\u683c<\/p>\n\n\u6307\u6807\u6807\u51c6<\/tr>\n\n\n\n\n\n
              \u8349\u8868\u751f\u6210 P95<\/td>\n\u2264 8 \u79d2<\/td>\n<\/tr>\n
              SSE \u9996\u5b57\u8282<\/td>\n\u2264 1.5 \u79d2<\/td>\n<\/tr>\n
              \u5355\u6761\u8ffd\u95ee P95<\/td>\n\u2264 4 \u79d2<\/td>\n<\/tr>\n
              \u5cf0\u503c\u5e76\u53d1<\/td>\n500 QPS \u4e0b\u9519\u8bef\u7387 < 0.5%<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

              \u200c\u8d28\u91cf\u9a8c\u6536\u200c<\/p>\n

            • \u7528 2023\u20142025 \u5e74\u771f\u5b9e\u5f55\u53d6\u6570\u636e\u56de\u6d4b：\u7a33\u6863 + \u4fdd\u6863\u547d\u4e2d\u7387 \u2265 92%，\u6ed1\u6863\u7387 = 0\u3002<\/li>\n
            • \u968f\u673a\u62bd\u68c0 200 \u6761\u5fd7\u613f，\u6570\u636e\u4e0e\u5b98\u65b9\u6765\u6e90\u4e00\u81f4\u7387 \u2265 99%\u3002<\/li>\n
            • \u786c\u7ea6\u675f\u8fc7\u6ee4\u96f6\u6f0f\u5224：\u9009\u79d1\u3001\u5355\u79d1\u3001\u4f53\u68c0\u3001\u8bed\u79cd\u56db\u7c7b\u7ea6\u675f\u5168\u90e8\u547d\u4e2d\u3002<\/li>\n

              \u200c\u5408\u89c4\u9a8c\u6536\u200c<\/p>\n

            • \u5168\u7ad9\u65e0\u5f55\u53d6\u627f\u8bfa\u7c7b\u8868\u8ff0\u3002<\/li>\n
            • \u6570\u636e\u6765\u6e90\u4e0e\u622a\u6b62\u65e5\u671f\u6807\u6ce8\u5b8c\u6574\u3002<\/li>\n
            • \u654f\u611f\u4e2a\u4eba\u4fe1\u606f\u96f6\u7559\u5b58\u3002<\/li>\n
              \n

              \u5341\u3001\u98ce\u9669\u4e0e\u5bf9\u7b56<\/h3>\n

              \u8868\u683c<\/p>\n\n\u7f16\u53f7\u98ce\u9669\u5f71\u54cd\u7b49\u7ea7\u5bf9\u7b56<\/tr>\n\n\n\n\n\n\n\n\n\n
              R1<\/td>\n\u6570\u636e\u6e90\u7248\u6743\u4e0e\u6388\u6743\u98ce\u9669<\/td>\n\u6570\u636e\u4e0d\u53ef\u7528，\u9879\u76ee\u505c\u6ede<\/td>\n\u9ad8<\/td>\n\u4f18\u5148\u5b98\u65b9\u5f00\u653e\u6570\u636e；\u4e0e\u6388\u6743\u65b9\u7b7e\u8ba2\u534f\u8bae；\u4fdd\u7559\u964d\u7ea7\u4e3a\u516c\u5f00\u6570\u636e\u7248\u672c\u7684\u80fd\u529b<\/td>\n<\/tr>\n
              R2<\/td>\n\u6a21\u578b\u5e7b\u89c9\u5bfc\u81f4\u9519\u8bef\u63a8\u8350<\/td>\n\u7528\u6237\u88ab\u8bef\u5bfc，\u540e\u679c\u4e0d\u53ef\u9006<\/td>\n\u9ad8<\/td>\nCriticAgent \u72ec\u7acb\u590d\u6838 + \u89c4\u5219\u5f15\u64ce\u786c\u6821\u9a8c + \u5168\u5b57\u6bb5\u6eaf\u6e90，\u4efb\u4f55\u65e0\u6cd5\u6eaf\u6e90\u7684\u6570\u636e\u4e0d\u8fdb\u5165\u8349\u8868<\/td>\n<\/tr>\n
              R3<\/td>\n\u5404\u7701\u653f\u7b56\u5dee\u5f02\u5bfc\u81f4\u89c4\u5219\u9519\u914d<\/td>\n\u8f93\u51fa\u65e0\u6548\u65b9\u6848<\/td>\n\u9ad8<\/td>\n\u89c4\u5219\u5e93\u6309\u7701\u72ec\u7acb\u7248\u672c\u5316，\u4e0a\u7ebf\u524d\u7528\u8be5\u7701\u5386\u53f2\u6570\u636e\u56de\u5f52\u6d4b\u8bd5<\/td>\n<\/tr>\n
              R4<\/td>\n\u586b\u62a5\u9ad8\u5cf0\u671f\u5e76\u53d1\u51b2\u51fb<\/td>\n\u670d\u52a1\u4e0d\u53ef\u7528<\/td>\n\u4e2d<\/td>\n\u65e0\u72b6\u6001\u670d\u52a1\u6a2a\u5411\u6269\u5c55 + Redis \u7f13\u5b58 + \u9650\u6d41\u964d\u7ea7<\/td>\n<\/tr>\n
              R5<\/td>\n\u53cd\u9988\u73af\u6b7b\u5faa\u73af<\/td>\n\u54cd\u5e94\u8d85\u65f6\u3001\u6210\u672c\u5931\u63a7<\/td>\n\u4e2d<\/td>\n\u5faa\u73af\u6b21\u6570\u4e0a\u9650 2 \u8f6e，\u8d85\u9650\u8f93\u51fa\u5f53\u524d\u6700\u4f18\u89e3\u5e76\u63d0\u793a\u4eba\u5de5\u590d\u6838<\/td>\n<\/tr>\n
              R6<\/td>\nLLM \u8c03\u7528\u6210\u672c\u8d85\u9884\u7b97<\/td>\n\u5546\u4e1a\u4e0d\u53ef\u6301\u7eed<\/td>\n\u4e2d<\/td>\n\u4efb\u52a1\u5206\u7ea7\u8def\u7531，\u8f7b\u91cf\u4efb\u52a1\u8d70\u5c0f\u6a21\u578b；\u5bf9\u9ad8\u9891\u67e5\u8be2\u7ed3\u679c\u505a\u8bed\u4e49\u7f13\u5b58<\/td>\n<\/tr>\n
              R7<\/td>\nCheckpoint \u81a8\u80c0<\/td>\n\u8bfb\u5199\u53d8\u6162\u3001\u5b58\u50a8\u6210\u672c\u4e0a\u5347<\/td>\n\u4e2d<\/td>\n\u72b6\u6001\u53ea\u5b58\u5f15\u7528\u4e0e\u5143\u6570\u636e，\u5927\u5bf9\u8c61\u5916\u7f6e\u5b58\u50a8<\/td>\n<\/tr>\n
              R8<\/td>\n\u5408\u89c4\u53e3\u5f84\u53d8\u5316<\/td>\n\u9700\u7d27\u6025\u6574\u6539<\/td>\n\u4f4e<\/td>\n\u5408\u89c4\u6587\u6848\u4e0e\u514d\u8d23\u58f0\u660e\u505a\u6210\u53ef\u914d\u7f6e\u9879，\u652f\u6301\u70ed\u66f4\u65b0<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n
              \n

              \u5341\u4e00\u3001\u56e2\u961f\u5206\u5de5<\/h3>\n

              \u8868\u683c<\/p>\n\n\u89d2\u8272\u4eba\u6570\u4e3b\u8981\u804c\u8d23<\/tr>\n\n\n\n\n\n\n\n
              \u9879\u76ee\u7ecf\u7406<\/td>\n1<\/td>\n\u8fdb\u5ea6\u7ba1\u7406\u3001\u8de8\u65b9\u534f\u8c03\u3001\u5408\u89c4\u8bc4\u5ba1\u7ec4\u7ec7<\/td>\n<\/tr>\n
              \u7b97\u6cd5\u5de5\u7a0b\u5e08<\/td>\n2<\/td>\n\u4f4d\u6b21\u6362\u7b97\u3001\u5206\u5c42\u6a21\u578b\u3001\u6392\u5e8f\u6253\u5206\u3001Agent \u63d0\u793a\u8bcd\u4e0e\u5de5\u5177\u8bbe\u8ba1<\/td>\n<\/tr>\n
              \u540e\u7aef\u5de5\u7a0b\u5e08<\/td>\n2<\/td>\nLangGraph \u7f16\u6392\u3001\u670d\u52a1\u5c42\u3001\u6301\u4e45\u5316\u3001SSE \u4e0e HITL<\/td>\n<\/tr>\n
              \u6570\u636e\u5de5\u7a0b\u5e08<\/td>\n1<\/td>\n\u91c7\u96c6\u3001\u6e05\u6d17\u3001\u5165\u5e93\u3001\u6570\u636e\u8d28\u91cf\u76d1\u63a7<\/td>\n<\/tr>\n
              \u524d\u7aef\u5de5\u7a0b\u5e08<\/td>\n1<\/td>\n\u8868\u5355\u3001\u5fd7\u613f\u8868\u3001\u534f\u4f5c\u8fc7\u7a0b\u53ef\u89c6\u5316<\/td>\n<\/tr>\n
              \u6d4b\u8bd5\u5de5\u7a0b\u5e08<\/td>\n1<\/td>\n\u529f\u80fd\u6d4b\u8bd5\u3001\u56de\u6d4b\u6846\u67b6\u3001\u6027\u80fd\u538b\u6d4b<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

              \u534f\u4f5c\u673a\u5236：\u6bcf\u5468\u4e00\u6b21\u8fed\u4ee3\u8bc4\u5ba1，M2 \u4e0e M5 \u4e24\u4e2a\u8282\u70b9\u8bbe\u7f6e\u5f3a\u5236\u8bc4\u5ba1\u95e8\u69db\u3002<\/p>\n

              \n

              \u9644\u5f55 A：\u672f\u8bed\u8868<\/h3>\n

              \u8868\u683c<\/p>\n\n\u672f\u8bed\u542b\u4e49<\/tr>\n\n\n\n\n\n\n\n\n\n\n\n
              \u4e00\u5206\u4e00\u6bb5\u8868<\/td>\n\u5404\u7701\u8003\u8bd5\u9662\u516c\u5e03\u7684\u5206\u6570\u4e0e\u7d2f\u8ba1\u4eba\u6570\u5bf9\u7167\u8868，\u4f4d\u6b21\u5b9a\u4f4d\u7684\u6743\u5a01\u4f9d\u636e<\/td>\n<\/tr>\n
              \u7b49\u6548\u4f4d\u6b21<\/td>\n\u628a\u5f53\u5e74\u4f4d\u6b21\u6309\u6279\u6b21\u7ebf\u4f4d\u6b21\u6bd4\u503c\u6362\u7b97\u5230\u5f80\u5e74\u53e3\u5f84\u540e\u7684\u4f4d\u6b21<\/td>\n<\/tr>\n
              \u9662\u6821\u4e13\u4e1a\u7ec4<\/td>\n\u65b0\u9ad8\u8003\u4e0b\u4ee5\u300c\u9662\u6821 + \u4e13\u4e1a\u7ec4\u300d\u4e3a\u6295\u6863\u5355\u4f4d，\u7ec4\u5185\u9009\u79d1\u8981\u6c42\u4e00\u81f4，\u53ef\u7ec4\u5185\u8c03\u5242<\/td>\n<\/tr>\n
              \u4e13\u4e1a+\u9662\u6821<\/td>\n\u4ee5\u5355\u4e2a\u4e13\u4e1a\u4e3a\u6295\u6863\u5355\u4f4d，\u4e0d\u5b58\u5728\u4e13\u4e1a\u8c03\u5242<\/td>\n<\/tr>\n
              \u5e73\u884c\u5fd7\u613f<\/td>\n\u6267\u884c\u300c\u5206\u6570\u4f18\u5148\u3001\u9075\u5faa\u5fd7\u613f\u3001\u4e00\u8f6e\u6295\u6863\u300d\u7684\u6295\u6863\u65b9\u5f0f<\/td>\n<\/tr>\n
              \u51b2\u7a33\u4fdd<\/td>\n\u6309\u5f55\u53d6\u6982\u7387\u5212\u5206\u7684\u4e09\u6863\u5fd7\u613f\u68af\u5ea6\u7b56\u7565<\/td>\n<\/tr>\n
              Supervisor<\/td>\n\u591a Agent \u62d3\u6251\u4e2d\u7684\u4e2d\u592e\u8c03\u5ea6\u8005，\u8d1f\u8d23\u8def\u7531\u4e0e\u6c47\u603b<\/td>\n<\/tr>\n
              Checkpointer<\/td>\nLangGraph \u7684\u7ebf\u7a0b\u7ea7\u72b6\u6001\u5feb\u7167\u673a\u5236，\u652f\u6491\u65ad\u70b9\u6062\u590d\u4e0e HITL<\/td>\n<\/tr>\n
              Store<\/td>\nLangGraph \u7684\u8de8\u7ebf\u7a0b\u957f\u671f\u8bb0\u5fc6\u673a\u5236<\/td>\n<\/tr>\n
              HITL<\/td>\nHuman-in-the-Loop，\u4eba\u5de5\u4ecb\u5165\u786e\u8ba4<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

              \u9644\u5f55 B：\u53c2\u8003\u8d44\u6599<\/h3>\n
            • \u6559\u80b2\u90e8：2026 \u5e74\u5168\u56fd\u9ad8\u8003\u62a5\u540d\u4eba\u6570\u4e3a 1290 \u4e07\u4eba（2026-06-03） http:\/\/www.moe.gov.cn\/jyb_xwfb\/xw_zt\/moe_357\/2026\/2026_zt08\/mtbd\/202606\/t20260604_1438763.html<\/li>\n
            • \u6559\u80b2\u90e8：\u5168\u56fd\u9ad8\u7b49\u5b66\u6821\u540d\u5355（\u622a\u81f3 2026-06-17，\u5171 3196 \u6240） http:\/\/www.moe.gov.cn\/jyb_xxgk\/s5743\/s5744\/202606\/t20260618_1441074.html<\/li>\n
            • \u9633\u5149\u9ad8\u8003\u5e73\u53f0（\u6559\u80b2\u90e8\u9ad8\u6821\u62db\u751f\u9633\u5149\u5de5\u7a0b\u6307\u5b9a\u5e73\u53f0） https:\/\/gaokao.chsi.com.cn\/<\/li>\n
            • \u6559\u80b2\u5728\u7ebf：\u65b0\u9ad8\u8003\u5e73\u884c\u5fd7\u613f\u4e24\u5927\u5fd7\u613f\u6a21\u5f0f\u4e0e\u6295\u6863\u51c6\u5219\u89e3\u6790 https:\/\/www.eol.cn\/kaoshi\/gaokao\/zytb\/202606\/t20260616_2745822.shtml<\/li>\n
            • \u6559\u80b2\u5728\u7ebf：2026 \u9ad8\u8003\u5fd7\u613f\u300c\u51b2\u7a33\u4fdd\u300d\u68af\u5ea6\u6392\u5e03\u65b9\u6cd5 https:\/\/www.eol.cn\/kaoshi\/gaokao\/zytb\/202606\/t20260629_2750440.shtml<\/li>\n
            • LangGraph \u5b98\u65b9\u4ed3\u5e93\u4e0e\u6587\u6863 https:\/\/github.com\/langchain-ai\/langgraph<\/li>\n
            • LangGraph Interrupts（Human-in-the-Loop）\u5b98\u65b9\u6587\u6863 https:\/\/docs.langchain.com\/oss\/python\/langgraph\/interrupts<\/li>\n
            • LangGraph Persistence：Checkpointer \u4e0e Store \u8bf4\u660e https:\/\/fast.io\/resources\/langgraph-persistence\/<\/li>\n
            • LangGraph 1.2 \u7279\u6027\u8bf4\u660e（\u7c7b\u578b\u5b89\u5168\u6d41\u5f0f\u3001\u8282\u70b9\u8d85\u65f6\u3001\u9519\u8bef\u5904\u7406） https:\/\/jbinternational.co.uk\/article\/view\/4680<\/li>\n
            • Supervisor \u6a21\u5f0f\u53c2\u8003\u5b9e\u73b0 https:\/\/reference.langchain.com\/python\/langgraph-supervisor<\/li>\n

              \u8fd0\u884c\u622a\u56fe<\/span><\/h2>\n

              \"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"\"<\/h2>\n

              \n

              \u63a8\u8350\u9879\u76ee<\/h3>\n

              \u4e0a\u4e07\u5957Java\u3001Python\u3001\u5927\u6570\u636e\u3001\u673a\u5668\u5b66\u4e60\u3001\u6df1\u5ea6\u5b66\u4e60\u7b49\u9ad8\u7ea7\u9009\u9898(\u6e90\u7801+lw+\u90e8\u7f72\u6587\u6863+\u8bb2\u89e3\u7b49)<\/p>\n

              \u9879\u76ee\u6848\u4f8b<\/h3>\n

              \"\"<\/p>\n

              \"\"<\/p>\n<\/p>\n

              \"\"<\/p>\n

              \"\"<\/p>\n

              \n

              \"\"<\/p>\n

              \n

              \n

              \u4f18\u52bf<\/h3>\n

              1-\u9879\u76ee\u5747\u4e3a\u535a\u4e3b\u5b66\u4e60\u5f00\u53d1\u81ea\u7814，\u9002\u5408\u65b0\u624b\u5165\u95e8\u548c\u5b66\u4e60\u4f7f\u7528<\/p>\n

              2-\u6240\u6709\u6e90\u7801\u5747\u4e00\u624b\u5f00\u53d1，\u4e0d\u662f\u6a21\u7248！\u4e0d\u5bb9\u6613\u8ddf\u73ed\u91cc\u4eba\u91cd\u590d！<\/p>\n

              \"\"<\/p>\n

              \u4e3a\u4ec0\u4e48\u9009\u62e9\u6211<\/h4>\n

              \u00a0\u535a\u4e3b\u662fCSDN\u6bd5\u8bbe\u8f85\u5bfc\u535a\u5ba2\u7b2c\u4e00\u4eba\u517c\u5f00\u6d3e\u7956\u5e08\u7237\u3001\u535a\u4e3b\u672c\u8eab\u4ece\u4e8b\u5f00\u53d1\u8f6f\u4ef6\u5f00\u53d1\u3001\u6709\u4e30\u5bcc\u7684\u7f16\u7a0b\u80fd\u529b\u548c\u6c34\u5e73\u3001\u7d2f\u79ef\u7ed9\u4e0a\u5343\u540d\u540c\u5b66\u8fdb\u884c\u8f85\u5bfc\u3001\u5168\u7f51\u7d2f\u79ef\u7c89\u4e1d\u8d85\u8fc750W\u3002\u662fCSDN\u7279\u9080\u4f5c\u8005\u3001\u535a\u5ba2\u4e13\u5bb6\u3001\u65b0\u661f\u8ba1\u5212\u5bfc\u5e08\u3001Java\u9886\u57df\u4f18\u8d28\u521b\u4f5c\u8005,\u535a\u5ba2\u4e4b\u661f\u3001\u6398\u91d1\/\u534e\u4e3a\u4e91\/\u963f\u91cc\u4e91\/InfoQ\u7b49\u5e73\u53f0\u4f18\u8d28\u4f5c\u8005\u3001\u4e13\u6ce8\u4e8eJava\u6280\u672f\u9886\u57df\u548c\u5b66\u751f\u6bd5\u4e1a\u9879\u76ee\u5b9e\u6218,\u9ad8\u6821\u8001\u5e08\/\u8bb2\u5e08\/\u540c\u884c\u524d\u8f88\u4ea4\u6d41\u548c\u5408\u4f5c\u3002\u00a0<\/p>\n

              🍅\u270c\u611f\u5174\u8da3\u7684\u53ef\u4ee5\u5148\u6536\u85cf\u8d77\u6765<\/span>，\u70b9\u8d5e\u5173\u6ce8\u4e0d\u8ff7\u8def，\u60f3\u5b66\u4e60\u66f4\u591a\u9879\u76ee\u53ef\u4ee5\u67e5\u770b\u4e3b\u9875<\/span>，\u5927\u5bb6\u5728\u6bd5\u8bbe\u9009\u9898，\u9879\u76ee\u4ee3\u7801\u4ee5\u53ca\u8bba\u6587\u7f16\u5199\u7b49\u76f8\u5173\u95ee\u9898\u90fd\u53ef\u4ee5\u7ed9\u6211\u7559\u8a00\u54a8\u8be2，\u5e0c\u671b\u53ef\u4ee5\u5e2e\u52a9\u540c\u5b66\u4eec\u987a\u5229\u6bd5\u4e1a！🍅\u270c<\/p>\n

              \u6e90\u7801\u83b7\u53d6\u65b9\u5f0f<\/h4>\n

              🍅\u7531\u4e8e\u7bc7\u5e45\u9650\u5236，\u83b7\u53d6\u5b8c\u6574\u6587\u7ae0\u6216\u6e90\u7801\u3001\u4ee3\u505a\u9879\u76ee\u7684，\u672c\u4eba\u4e3b\u9875\u7f6e\u9876\u6587\u7ae0(\u70b9\u6211)\u5f00\u5934\u6709 CSDN \u5e73\u53f0\u5b98\u65b9\u63d0\u4f9b\u7684\u5b66\u957f\u8054\u7cfb\u65b9\u5f0f\u7684\u540d\u7247<\/span>\u3002🍅<\/p>\n

              \u70b9\u8d5e\u3001\u6536\u85cf\u3001\u5173\u6ce8，\u4e0d\u8ff7\u8def<\/p>\n

              \n","protected":false},"excerpt":{"rendered":"

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