{"id":107868,"date":"2026-09-20T13:41:02","date_gmt":"2026-09-20T05:41:02","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/107868.html"},"modified":"2026-09-20T13:41:02","modified_gmt":"2026-09-20T05:41:02","slug":"%e3%80%90%e4%b8%89%e4%b8%aa%e6%9c%88-ai-agent-%e5%ae%9e%e6%88%98%e5%ad%a6%e4%b9%a0%e3%80%91day-13%ef%bc%9a%e7%b3%bb%e7%bb%9f%e6%8f%90%e7%a4%ba%e8%af%8d%e8%ae%be%e8%ae%a1-%e6%89%93","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/107868.html","title":{"rendered":"\u3010\u4e09\u4e2a\u6708 AI Agent \u5b9e\u6218\u5b66\u4e60\u3011Day 13\uff1a\u7cfb\u7edf\u63d0\u793a\u8bcd\u8bbe\u8ba1 \u2014\u2014 \u6253\u9020\u4f60\u7684\u4e13\u5c5e AI \u52a9\u624b"},"content":{"rendered":"

Day 13：\u7cfb\u7edf\u63d0\u793a\u8bcd\u8bbe\u8ba1 \u2014\u2014 \u6253\u9020\u4f60\u7684\u4e13\u5c5e AI \u52a9\u624b<\/h3>\n

\u6b22\u8fce\u6765\u5230\u7b2c\u5341\u4e09\u5929！\u4eca\u5929\u6211\u4eec\u805a\u7126\u4e8e\u4e00\u4e2a\u770b\u4f3c\u7b80\u5355\u5374\u6781\u5176\u91cd\u8981\u7684\u4e3b\u9898：\u7cfb\u7edf\u63d0\u793a\u8bcd（System Prompt）\u8bbe\u8ba1\u3002\u7cfb\u7edf\u63d0\u793a\u8bcd\u662f\u5927\u6a21\u578b\u5e94\u7528\u7684\u201c\u7075\u9b42\u201d，\u5b83\u5b9a\u4e49\u4e86\u6a21\u578b\u7684\u884c\u4e3a\u51c6\u5219\u3001\u89d2\u8272\u5b9a\u4f4d\u3001\u4efb\u52a1\u8fb9\u754c\u548c\u8f93\u51fa\u98ce\u683c\u3002\u4e00\u4e2a\u7cbe\u5fc3\u8bbe\u8ba1\u7684\u7cfb\u7edf\u63d0\u793a\u8bcd\u80fd\u8ba9\u540c\u4e00\u4e2a\u6a21\u578b\u4ece\u201c\u901a\u7528\u52a9\u624b\u201d\u8715\u53d8\u4e3a\u201c\u9886\u57df\u4e13\u5bb6\u201d\u6216\u201c\u4e13\u5c5e\u7ba1\u5bb6\u201d\u3002\u5728\u6784\u5efa AI Agent \u65f6，\u7cfb\u7edf\u63d0\u793a\u8bcd\u7684\u8d28\u91cf\u76f4\u63a5\u51b3\u5b9a\u4e86 Agent \u7684\u7a33\u5b9a\u6027\u3001\u5b89\u5168\u6027\u548c\u7528\u6237\u4f53\u9a8c\u3002<\/p>\n

\n

\"\u5728\u8fd9\u91cc\u63d2\u5165\u56fe\u7247\u63cf\u8ff0\"<\/p>\n

\u4e00\u3001\u4eca\u65e5\u5b66\u4e60\u76ee\u6807<\/h4>\n
  • \u7406\u89e3\u7cfb\u7edf\u63d0\u793a\u8bcd\u5728 LLM \u5e94\u7528\u4e2d\u7684\u4f5c\u7528：\u8bbe\u5b9a\u89d2\u8272\u3001\u89c4\u5219\u3001\u4e0a\u4e0b\u6587\u548c\u8f93\u51fa\u683c\u5f0f\u3002<\/li>\n
  • \u638c\u63e1\u9ad8\u8d28\u91cf\u7cfb\u7edf\u63d0\u793a\u8bcd\u7684\u6838\u5fc3\u8981\u7d20：\u89d2\u8272（Role）\u3001\u80cc\u666f（Context）\u3001\u4efb\u52a1（Task）\u3001\u7ea6\u675f（Constraints）\u3001\u8f93\u51fa\u683c\u5f0f（Output Format）\u3001\u793a\u4f8b（Examples）\u3002<\/li>\n
  • \u5b66\u4f1a\u7f16\u5199\u7ed3\u6784\u5316\u7684\u7cfb\u7edf\u63d0\u793a\u8bcd，\u5e76\u901a\u8fc7\u5b9e\u9a8c\u5bf9\u6bd4\u4e0d\u540c\u8bbe\u8ba1\u5bf9\u6a21\u578b\u8f93\u51fa\u7684\u5f71\u54cd\u3002<\/li>\n
  • \u4f7f\u7528 LangChain \u7684 SystemMessage \u548c PromptTemplate \u6765\u7ec4\u7ec7\u7cfb\u7edf\u63d0\u793a\u8bcd，\u4e3a\u540e\u7eed\u5de5\u7a0b\u5316\u5f00\u53d1\u505a\u51c6\u5907\u3002<\/li>\n
  • \u5b8c\u6210\u4e00\u4e2a\u5b9e\u6218\u6848\u4f8b：\u8bbe\u8ba1\u4e00\u4e2a\u201cAI \u5065\u8eab\u6559\u7ec3\u201d\u7cfb\u7edf\u63d0\u793a\u8bcd，\u5e76\u6d4b\u8bd5\u5176\u6548\u679c\u3002<\/li>\n
    \n

    \u4e8c\u3001\u8be6\u7ec6\u5b9e\u73b0\u6b65\u9aa4<\/h4>\n

    \u6b65\u9aa4 1：\u7406\u89e3\u7cfb\u7edf\u63d0\u793a\u8bcd\u7684\u5173\u952e\u8981\u7d20<\/h5>\n

    \u4e00\u4e2a\u9ad8\u8d28\u91cf\u7684\u7cfb\u7edf\u63d0\u793a\u8bcd\u901a\u5e38\u5305\u542b\u4ee5\u4e0b\u51e0\u4e2a\u90e8\u5206（\u5e76\u975e\u5168\u90e8\u5fc5\u987b，\u4f46\u5927\u591a\u6570\u5e94\u7528\u4f1a\u7528\u5230）：<\/p>\n

      \n
    • \u89d2\u8272（Role）：\u660e\u786e\u6a21\u578b\u7684\u8eab\u4efd，\u5982\u201c\u4f60\u662f\u4e00\u4f4d\u7ecf\u9a8c\u4e30\u5bcc\u7684\u5065\u8eab\u6559\u7ec3\u201d\u3002<\/li>\n
    • \u80cc\u666f（Context）：\u63d0\u4f9b\u4efb\u52a1\u7684\u80cc\u666f\u4fe1\u606f，\u5e2e\u52a9\u6a21\u578b\u7406\u89e3\u573a\u666f\u3002<\/li>\n
    • \u4efb\u52a1（Task）：\u6e05\u6670\u63cf\u8ff0\u6a21\u578b\u9700\u8981\u505a\u4ec0\u4e48，\u4f8b\u5982\u201c\u6839\u636e\u7528\u6237\u7684\u8eab\u4f53\u6570\u636e\u548c\u76ee\u6807，\u5236\u5b9a\u4e2a\u6027\u5316\u7684\u5065\u8eab\u8ba1\u5212\u201d\u3002<\/li>\n
    • \u7ea6\u675f（Constraints）：\u8bbe\u7f6e\u8fb9\u754c\u548c\u89c4\u5219，\u5982\u201c\u4e0d\u5f97\u7ed9\u51fa\u533b\u7597\u5efa\u8bae\u201d\u3001\u201c\u56de\u7b54\u9700\u7b80\u6d01\u53cb\u597d\u201d\u3002<\/li>\n
    • \u8f93\u51fa\u683c\u5f0f（Output Format）：\u6307\u5b9a\u56de\u590d\u7684\u7ed3\u6784，\u5982\u201c\u7528 JSON \u8fd4\u56de\u201d\u6216\u201c\u5206\u70b9\u5217\u51fa\u201d\u3002<\/li>\n
    • \u793a\u4f8b（Examples）：\u63d0\u4f9b\u4e00\u4e24\u4e2a\u793a\u4f8b，\u5e2e\u52a9\u6a21\u578b\u6a21\u4eff（\u5373 Few-shot）\u3002<\/li>\n
    • \u8bed\u6c14\u4e0e\u98ce\u683c（Tone\/Style）：\u5982\u201c\u8bed\u6c14\u79ef\u6781\u9f13\u52b1\u201d\u3001\u201c\u4f7f\u7528\u53e3\u8bed\u5316\u8868\u8fbe\u201d\u3002<\/li>\n<\/ul>\n

      \u6211\u4eec\u5c06\u56f4\u7ed5\u8fd9\u4e9b\u8981\u7d20\u8bbe\u8ba1\u4e00\u4e2a\u7cfb\u7edf\u63d0\u793a\u8bcd\u3002<\/p>\n

      \u6b65\u9aa4 2：\u7f16\u5199\u4e00\u4e2a\u521d\u6b65\u7684\u7cfb\u7edf\u63d0\u793a\u8bcd<\/h5>\n

      \u6211\u4eec\u4ee5\u201cAI \u5065\u8eab\u6559\u7ec3\u201d\u4e3a\u4f8b\u3002\u9996\u5148\u5199\u4e00\u4e2a\u7b80\u5355\u7248\u672c，\u53ea\u5305\u542b\u89d2\u8272\u548c\u4efb\u52a1：<\/p>\n

      basic_coach_prompt =<\/span> """
      \n\u4f60\u662f\u4e00\u4e2a\u5065\u8eab\u6559\u7ec3\u3002\u8bf7\u6839\u636e\u7528\u6237\u7684\u76ee\u6807\u63d0\u4f9b\u5065\u8eab\u5efa\u8bae\u3002
      \n"""<\/span><\/p>\n

      \u7136\u540e\u6d4b\u8bd5\u5b83，\u770b\u770b\u8f93\u51fa\u662f\u5426\u8db3\u591f\u4e13\u4e1a\u548c\u4e2a\u6027\u5316\u3002\u6211\u4eec\u5c06\u4f7f\u7528\u4e4b\u524d\u7684 API \u8c03\u7528\u51fd\u6570\u3002<\/p>\n

      \u65b0\u5efa system_prompt_design.py：<\/p>\n

      import<\/span> os
      \nfrom<\/span> dotenv import<\/span> load_dotenv
      \nfrom<\/span> openai import<\/span> OpenAI<\/p>\n

      load_dotenv(<\/span>)<\/span>
      \nclient =<\/span> OpenAI(<\/span>
      \n api_key=<\/span>os.<\/span>getenv(<\/span>"DEEPSEEK_API_KEY"<\/span>)<\/span>,<\/span>
      \n base_url=<\/span>"https:\/\/api.deepseek.com"<\/span>
      \n)<\/span><\/p>\n

      def<\/span> chat_with_system<\/span>(<\/span>system_prompt:<\/span> str<\/span>,<\/span> user_input:<\/span> str<\/span>,<\/span> temperature:<\/span> float<\/span> =<\/span> 0.7<\/span>)<\/span> –<\/span>><\/span> str<\/span>:<\/span>
      \n response =<\/span> client.<\/span>chat.<\/span>completions.<\/span>create(<\/span>
      \n model=<\/span>"deepseek-chat"<\/span>,<\/span>
      \n messages=<\/span>[<\/span>
      \n {<\/span>"role"<\/span>:<\/span> "system"<\/span>,<\/span> "content"<\/span>:<\/span> system_prompt}<\/span>,<\/span>
      \n {<\/span>"role"<\/span>:<\/span> "user"<\/span>,<\/span> "content"<\/span>:<\/span> user_input}<\/span>
      \n ]<\/span>,<\/span>
      \n temperature=<\/span>temperature,<\/span>
      \n max_tokens=<\/span>500<\/span>
      \n )<\/span>
      \n return<\/span> response.<\/span>choices[<\/span>0<\/span>]<\/span>.<\/span>message.<\/span>content<\/p>\n

      # \u6d4b\u8bd5\u57fa\u7840\u7248<\/span>
      \nbasic_prompt =<\/span> "\u4f60\u662f\u4e00\u4e2a\u5065\u8eab\u6559\u7ec3\u3002\u8bf7\u6839\u636e\u7528\u6237\u7684\u76ee\u6807\u63d0\u4f9b\u5065\u8eab\u5efa\u8bae\u3002"<\/span>
      \nuser_input =<\/span> "\u6211\u60f3\u51cf\u80a5，\u4f46\u5e73\u65f6\u5de5\u4f5c\u5f88\u5fd9，\u6ca1\u65f6\u95f4\u53bb\u5065\u8eab\u623f，\u8be5\u600e\u4e48\u529e？"<\/span>
      \nprint<\/span>(<\/span>"========== \u57fa\u7840\u7248\u7cfb\u7edf\u63d0\u793a\u8bcd =========="<\/span>)<\/span>
      \nprint<\/span>(<\/span>chat_with_system(<\/span>basic_prompt,<\/span> user_input)<\/span>)<\/span><\/p>\n

      \u8fd0\u884c\u540e，\u4f60\u4f1a\u53d1\u73b0\u6a21\u578b\u7ed9\u51fa\u4e86\u6bd4\u8f83\u901a\u7528\u7684\u5efa\u8bae，\u4f46\u6ca1\u6709\u8be2\u95ee\u7528\u6237\u7684\u5177\u4f53\u60c5\u51b5（\u5982\u4f53\u91cd\u3001\u996e\u98df\u3001\u8fd0\u52a8\u57fa\u7840），\u4e5f\u6ca1\u6709\u4e2a\u6027\u5316\u7684\u8ba1\u5212\u3002\u8fd9\u8bf4\u660e\u7b80\u5355\u7684\u89d2\u8272\u8bbe\u5b9a\u4e0d\u591f\u3002<\/p>\n

      \u6b65\u9aa4 3：\u7f16\u5199\u7ed3\u6784\u5316\u7684\u9ad8\u7ea7\u7cfb\u7edf\u63d0\u793a\u8bcd<\/h5>\n

      \u73b0\u5728，\u6211\u4eec\u6839\u636e\u4e4b\u524d\u63d0\u5230\u7684\u8981\u7d20，\u91cd\u65b0\u8bbe\u8ba1\u7cfb\u7edf\u63d0\u793a\u8bcd：<\/p>\n

      advanced_coach_prompt =<\/span> """
      \n# \u89d2\u8272
      \n\u4f60\u662f\u4e00\u4f4d\u62e5\u6709\u5341\u5e74\u7ecf\u9a8c\u7684\u79c1\u4eba\u5065\u8eab\u6559\u7ec3，\u64c5\u957f\u4e3a\u5fd9\u788c\u7684\u4e0a\u73ed\u65cf\u5236\u5b9a\u9ad8\u6548\u3001\u53ef\u884c\u7684\u51cf\u8102\u548c\u589e\u808c\u8ba1\u5212\u3002<\/p>\n

      # \u80cc\u666f
      \n\u7528\u6237\u901a\u5e38\u65f6\u95f4\u7d27\u5f20，\u7f3a\u4e4f\u4e13\u4e1a\u5065\u8eab\u77e5\u8bc6，\u5bb9\u6613\u56e0\u4e3a\u770b\u4e0d\u5230\u6548\u679c\u800c\u653e\u5f03\u3002\u4f60\u9700\u8981\u63d0\u4f9b\u79d1\u5b66\u3001\u5b9e\u7528\u3001\u6613\u4e8e\u575a\u6301\u7684\u5efa\u8bae\u3002<\/p>\n

      # \u4efb\u52a1
      \n\u6839\u636e\u7528\u6237\u63d0\u4f9b\u7684\u4fe1\u606f（\u5982\u76ee\u6807\u3001\u65f6\u95f4\u5b89\u6392\u3001\u8eab\u4f53\u72b6\u51b5\u7b49），\u5236\u5b9a\u4e2a\u6027\u5316\u7684\u5065\u8eab\u548c\u996e\u98df\u5efa\u8bae\u3002\u5982\u679c\u4fe1\u606f\u4e0d\u8db3，\u8bf7\u4e3b\u52a8\u8be2\u95ee\u5173\u952e\u7ec6\u8282（\u5982\u8eab\u9ad8\u4f53\u91cd\u3001\u8fd0\u52a8\u9891\u7387\u3001\u996e\u98df\u4e60\u60ef\u3001\u6709\u65e0\u4f24\u75c5\u7b49）\u3002<\/p>\n

      # \u7ea6\u675f
      \n– \u4e0d\u5f97\u63d0\u4f9b\u533b\u7597\u5efa\u8bae，\u5982\u6709\u4f24\u75c5\u6216\u5065\u5eb7\u95ee\u9898\u8bf7\u5efa\u8bae\u54a8\u8be2\u533b\u751f\u3002
      \n– \u5efa\u8bae\u5fc5\u987b\u73b0\u5b9e\u53ef\u884c，\u4e0d\u80fd\u8981\u6c42\u7528\u6237\u6bcf\u5929\u953b\u70bc\u4e24\u5c0f\u65f6\u6216\u8d2d\u4e70\u6602\u8d35\u5668\u6750\u3002
      \n– \u8bed\u6c14\u79ef\u6781\u9f13\u52b1，\u907f\u514d\u6253\u51fb\u7528\u6237\u4fe1\u5fc3\u3002<\/p>\n

      # \u8f93\u51fa\u683c\u5f0f
      \n\u7528\u81ea\u7136\u8bed\u8a00\u56de\u590d，\u4f46\u5efa\u8bae\u90e8\u5206\u8bf7\u5206\u70b9\u5217\u51fa，\u6bcf\u70b9\u5305\u542b\u884c\u52a8\u9879\u548c\u7b80\u8981\u7406\u7531\u3002<\/p>\n

      # \u793a\u4f8b
      \n\u7528\u6237：\u6211\u60f3\u51cf\u80a5，\u5de5\u4f5c\u5f88\u5fd9，\u6bcf\u5929\u53ea\u6709 30 \u5206\u949f\u3002
      \n\u4f60：\u597d\u7684！30 \u5206\u949f\u8db3\u591f\u505a\u9ad8\u6548\u8bad\u7ec3\u3002\u4ee5\u4e0b\u662f\u6211\u7684\u521d\u6b65\u5efa\u8bae：
      \n1. \u9ad8\u5f3a\u5ea6\u95f4\u6b47\u8bad\u7ec3（HIIT）\u6bcf\u5468 3 \u6b21，\u6bcf\u6b21 20 \u5206\u949f，\u5feb\u901f\u71c3\u8102\u3002
      \n2. \u5229\u7528\u788e\u7247\u65f6\u95f4\u589e\u52a0\u6d3b\u52a8\u91cf，\u5982\u722c\u697c\u68af\u3001\u6b65\u884c\u4e0a\u4e0b\u73ed\u3002
      \n3. \u996e\u98df\u4e0a\u63a7\u5236\u4e3b\u98df\u6444\u5165，\u589e\u52a0\u86cb\u767d\u8d28\u548c\u852c\u83dc\u6bd4\u4f8b\u3002
      \n\u8bf7\u95ee\u4f60\u7684\u8eab\u9ad8\u4f53\u91cd\u662f\u591a\u5c11？\u8fd9\u6837\u6211\u53ef\u4ee5\u66f4\u7cbe\u786e\u5730\u8ba1\u7b97\u70ed\u91cf\u3002<\/p>\n

      # \u5f00\u59cb\u5bf9\u8bdd
      \n"""<\/span><\/p>\n

      \u6d4b\u8bd5\u8fd9\u4e2a\u9ad8\u7ea7\u7248：<\/p>\n

      print<\/span>(<\/span>"\\\\n========== \u9ad8\u7ea7\u7248\u7cfb\u7edf\u63d0\u793a\u8bcd =========="<\/span>)<\/span>
      \nprint<\/span>(<\/span>chat_with_system(<\/span>advanced_coach_prompt,<\/span> user_input)<\/span>)<\/span><\/p>\n

      \u4f60\u4f1a\u53d1\u73b0\u6a21\u578b\u4f1a\u5148\u8be2\u95ee\u7528\u6237\u7684\u8be6\u7ec6\u4fe1\u606f，\u7136\u540e\u7ed9\u51fa\u521d\u6b65\u5efa\u8bae，\u5e76\u4e14\u5206\u70b9\u6e05\u6670，\u8bed\u6c14\u79ef\u6781\u3002\u8fd9\u5c31\u662f\u7cfb\u7edf\u63d0\u793a\u8bcd\u8bbe\u8ba1\u7684\u5a01\u529b\u3002<\/p>\n

      \u6b65\u9aa4 4：\u4f7f\u7528 LangChain \u7ba1\u7406\u7cfb\u7edf\u63d0\u793a\u8bcd<\/h5>\n

      \u5728\u5de5\u7a0b\u5b9e\u8df5\u4e2d，\u6211\u4eec\u901a\u5e38\u4f7f\u7528 LangChain \u6765\u7ba1\u7406\u63d0\u793a\u8bcd\u6a21\u677f，\u4f7f\u5f97\u63d0\u793a\u8bcd\u53ef\u4ee5\u590d\u7528\u3001\u53c2\u6570\u5316\u3002\u4e0b\u9762\u6211\u4eec\u6f14\u793a\u5982\u4f55\u4f7f\u7528 SystemMessage \u548c ChatPromptTemplate\u3002<\/p>\n

      \u5b89\u88c5 LangChain（\u5982\u679c\u5c1a\u672a\u5b89\u88c5）：<\/p>\n

      pip install<\/span> langchain langchain-openai<\/p>\n

      \u7136\u540e\u7f16\u5199\u4ee3\u7801：<\/p>\n

      from<\/span> langchain_openai import<\/span> ChatOpenAI
      \nfrom<\/span> langchain_core.<\/span>messages import<\/span> SystemMessage,<\/span> HumanMessage
      \nfrom<\/span> langchain_core.<\/span>prompts import<\/span> ChatPromptTemplate,<\/span> MessagesPlaceholder<\/p>\n

      # \u521d\u59cb\u5316 LangChain \u7684 ChatOpenAI<\/span>
      \nllm =<\/span> ChatOpenAI(<\/span>
      \n model=<\/span>"deepseek-chat"<\/span>,<\/span>
      \n api_key=<\/span>os.<\/span>getenv(<\/span>"DEEPSEEK_API_KEY"<\/span>)<\/span>,<\/span>
      \n base_url=<\/span>"https:\/\/api.deepseek.com"<\/span>,<\/span>
      \n temperature=<\/span>0.7<\/span>
      \n)<\/span><\/p>\n

      # \u5b9a\u4e49\u7cfb\u7edf\u63d0\u793a\u8bcd\u6a21\u677f<\/span>
      \nsystem_template =<\/span> """
      \n# \u89d2\u8272
      \n\u4f60\u662f\u4e00\u4f4d\u62e5\u6709\u5341\u5e74\u7ecf\u9a8c\u7684\u79c1\u4eba\u5065\u8eab\u6559\u7ec3，\u64c5\u957f\u4e3a\u5fd9\u788c\u7684\u4e0a\u73ed\u65cf\u5236\u5b9a\u9ad8\u6548\u3001\u53ef\u884c\u7684\u51cf\u8102\u548c\u589e\u808c\u8ba1\u5212\u3002<\/p>\n

      # \u80cc\u666f
      \n\u7528\u6237\u901a\u5e38\u65f6\u95f4\u7d27\u5f20，\u7f3a\u4e4f\u4e13\u4e1a\u5065\u8eab\u77e5\u8bc6，\u5bb9\u6613\u56e0\u4e3a\u770b\u4e0d\u5230\u6548\u679c\u800c\u653e\u5f03\u3002\u4f60\u9700\u8981\u63d0\u4f9b\u79d1\u5b66\u3001\u5b9e\u7528\u3001\u6613\u4e8e\u575a\u6301\u7684\u5efa\u8bae\u3002<\/p>\n

      # \u4efb\u52a1
      \n\u6839\u636e\u7528\u6237\u63d0\u4f9b\u7684\u4fe1\u606f（\u5982\u76ee\u6807\u3001\u65f6\u95f4\u5b89\u6392\u3001\u8eab\u4f53\u72b6\u51b5\u7b49），\u5236\u5b9a\u4e2a\u6027\u5316\u7684\u5065\u8eab\u548c\u996e\u98df\u5efa\u8bae\u3002\u5982\u679c\u4fe1\u606f\u4e0d\u8db3，\u8bf7\u4e3b\u52a8\u8be2\u95ee\u5173\u952e\u7ec6\u8282（\u5982\u8eab\u9ad8\u4f53\u91cd\u3001\u8fd0\u52a8\u9891\u7387\u3001\u996e\u98df\u4e60\u60ef\u3001\u6709\u65e0\u4f24\u75c5\u7b49）\u3002<\/p>\n

      # \u7ea6\u675f
      \n– \u4e0d\u5f97\u63d0\u4f9b\u533b\u7597\u5efa\u8bae，\u5982\u6709\u4f24\u75c5\u6216\u5065\u5eb7\u95ee\u9898\u8bf7\u5efa\u8bae\u54a8\u8be2\u533b\u751f\u3002
      \n– \u5efa\u8bae\u5fc5\u987b\u73b0\u5b9e\u53ef\u884c，\u4e0d\u80fd\u8981\u6c42\u7528\u6237\u6bcf\u5929\u953b\u70bc\u4e24\u5c0f\u65f6\u6216\u8d2d\u4e70\u6602\u8d35\u5668\u6750\u3002
      \n– \u8bed\u6c14\u79ef\u6781\u9f13\u52b1，\u907f\u514d\u6253\u51fb\u7528\u6237\u4fe1\u5fc3\u3002<\/p>\n

      # \u8f93\u51fa\u683c\u5f0f
      \n\u7528\u81ea\u7136\u8bed\u8a00\u56de\u590d，\u4f46\u5efa\u8bae\u90e8\u5206\u8bf7\u5206\u70b9\u5217\u51fa，\u6bcf\u70b9\u5305\u542b\u884c\u52a8\u9879\u548c\u7b80\u8981\u7406\u7531\u3002
      \n"""<\/span><\/p>\n

      # \u521b\u5efa ChatPromptTemplate<\/span>
      \nprompt_template =<\/span> ChatPromptTemplate.<\/span>from_messages(<\/span>[<\/span>
      \n (<\/span>"system"<\/span>,<\/span> system_template)<\/span>,<\/span>
      \n (<\/span>"user"<\/span>,<\/span> "{user_input}"<\/span>)<\/span>
      \n]<\/span>)<\/span><\/p>\n

      # \u6784\u5efa\u6d88\u606f<\/span>
      \ndef<\/span> chat_with_langchain<\/span>(<\/span>user_input:<\/span> str<\/span>)<\/span>:<\/span>
      \n messages =<\/span> prompt_template.<\/span>format_messages(<\/span>user_input=<\/span>user_input)<\/span>
      \n response =<\/span> llm.<\/span>invoke(<\/span>messages)<\/span>
      \n return<\/span> response.<\/span>content<\/p>\n

      print<\/span>(<\/span>"\\\\n========== \u4f7f\u7528 LangChain =========="<\/span>)<\/span>
      \nprint<\/span>(<\/span>chat_with_langchain(<\/span>user_input)<\/span>)<\/span><\/p>\n

      \u8fd9\u6837，\u7cfb\u7edf\u63d0\u793a\u8bcd\u5c31\u4e0e\u4e1a\u52a1\u903b\u8f91\u5206\u79bb，\u4fbf\u4e8e\u7ef4\u62a4\u548c\u4fee\u6539\u3002<\/p>\n

      \u6b65\u9aa4 5：\u7cfb\u7edf\u63d0\u793a\u8bcd\u7684\u8c03\u8bd5\u4e0e\u4f18\u5316<\/h5>\n

      \u8bbe\u8ba1\u7cfb\u7edf\u63d0\u793a\u8bcd\u5f80\u5f80\u9700\u8981\u591a\u6b21\u8fed\u4ee3\u3002\u4ee5\u4e0b\u662f\u4e00\u4e9b\u8c03\u8bd5\u6280\u5de7：<\/p>\n

        \n
      • \u89c2\u5bdf\u8f93\u51fa\u662f\u5426\u7b26\u5408\u7ea6\u675f：\u6bd4\u5982\u662f\u5426\u7ed9\u51fa\u4e86\u533b\u7597\u5efa\u8bae？\u5982\u679c\u6709，\u52a0\u5f3a\u7ea6\u675f\u3002<\/li>\n
      • \u6d4b\u8bd5\u8fb9\u754c\u60c5\u51b5：\u4f8b\u5982\u7528\u6237\u8f93\u5165\u201c\u6211\u6709\u5fc3\u810f\u75c5，\u600e\u4e48\u953b\u70bc？\u201d，\u6a21\u578b\u5e94\u8be5\u5efa\u8bae\u54a8\u8be2\u533b\u751f\u3002<\/li>\n
      • \u8c03\u6574\u8bed\u6c14：\u5982\u679c\u8f93\u51fa\u8fc7\u4e8e\u673a\u68b0，\u53ef\u4ee5\u5728\u63d0\u793a\u8bcd\u4e2d\u52a0\u5165\u66f4\u591a\u60c5\u611f\u63cf\u8ff0\u3002<\/li>\n
      • \u52a0\u5165 Few-shot：\u5982\u679c\u6a21\u578b\u4ecd\u7136\u504f\u79bb\u8981\u6c42，\u63d0\u4f9b 1-2 \u4e2a\u6807\u51c6\u5bf9\u8bdd\u793a\u4f8b\u3002<\/li>\n<\/ul>\n

        \u6211\u4eec\u53ef\u4ee5\u6d4b\u8bd5\u4e00\u4e0b\u8fb9\u754c\u60c5\u51b5：<\/p>\n

        edge_input =<\/span> "\u6211\u6709\u9ad8\u8840\u538b，\u8fd8\u80fd\u505a HIIT \u5417？"<\/span>
        \nprint<\/span>(<\/span>"\\\\n========== \u8fb9\u754c\u6d4b\u8bd5 =========="<\/span>)<\/span>
        \nprint<\/span>(<\/span>chat_with_system(<\/span>advanced_coach_prompt,<\/span> edge_input)<\/span>)<\/span><\/p>\n

        \u89c2\u5bdf\u6a21\u578b\u662f\u5426\u9075\u5b88\u4e86\u201c\u4e0d\u5f97\u63d0\u4f9b\u533b\u7597\u5efa\u8bae\u201d\u7684\u7ea6\u675f\u3002<\/p>\n

        \n

        \u4e09\u3001\u5e38\u89c1\u95ee\u9898\u4e0e\u8c03\u8bd5<\/h4>\n

        Q1：\u7cfb\u7edf\u63d0\u793a\u8bcd\u5199\u5f97\u5f88\u8be6\u7ec6，\u4f46\u6a21\u578b\u4ecd\u7136\u4e0d\u9075\u5b88\u67d0\u4e9b\u89c4\u5219\u3002
        \n\u2192 \u53ef\u4ee5\u5c1d\u8bd5：<\/p>\n

          \n
        • \u5c06\u6700\u91cd\u8981\u7684\u89c4\u5219\u653e\u5728\u63d0\u793a\u8bcd\u5f00\u5934\u6216\u7ed3\u5c3e（\u9996\u56e0\u6548\u5e94\u548c\u8fd1\u56e0\u6548\u5e94）\u3002<\/li>\n
        • \u4f7f\u7528\u66f4\u5f3a\u70c8\u7684\u63aa\u8f9e，\u4f8b\u5982\u201c\u5fc5\u987b\u201d\u3001\u201c\u4e25\u7981\u201d\u3001\u201c\u7edd\u5bf9\u7981\u6b62\u201d\u3002<\/li>\n
        • \u63d0\u4f9b\u53cd\u4f8b\u6216\u5f3a\u8c03\u8fdd\u53cd\u540e\u679c（\u4f46\u4e0d\u5b9c\u8fc7\u5ea6）\u3002<\/li>\n
        • \u964d\u4f4e temperature，\u589e\u52a0\u786e\u5b9a\u6027\u3002<\/li>\n<\/ul>\n

          Q2：\u7cfb\u7edf\u63d0\u793a\u8bcd\u592a\u957f\u4f1a\u4e0d\u4f1a\u5f71\u54cd\u6a21\u578b\u6027\u80fd？
          \n\u2192 \u7cfb\u7edf\u63d0\u793a\u8bcd\u4f1a\u5360\u7528\u4e0a\u4e0b\u6587\u7a97\u53e3，\u5e76\u4e14\u53ef\u80fd\u5bfc\u81f4\u6a21\u578b\u201c\u8ff7\u5931\u201d\u5728\u5927\u91cf\u6307\u4ee4\u4e2d\u3002\u5efa\u8bae\u7b80\u6d01\u660e\u4e86，\u91cd\u70b9\u7a81\u51fa\u3002\u5982\u679c\u89c4\u5219\u5f88\u591a，\u53ef\u4ee5\u5206\u6761\u5217\u51fa，\u6216\u4f7f\u7528 Markdown \u683c\u5f0f\u589e\u52a0\u53ef\u8bfb\u6027\u3002\u901a\u5e38 500-1000 \u5b57\u4ee5\u5185\u6bd4\u8f83\u5408\u9002\u3002<\/p>\n

          Q3：\u5982\u4f55\u8ba9\u7cfb\u7edf\u63d0\u793a\u8bcd\u9002\u5e94\u4e0d\u540c\u7684\u7528\u6237？
          \n\u2192 \u53ef\u4ee5\u4f7f\u7528\u53c2\u6570\u5316\u7684\u65b9\u5f0f，\u4f8b\u5982\u5728\u7cfb\u7edf\u63d0\u793a\u8bcd\u4e2d\u7559\u51fa\u5360\u4f4d\u7b26，\u6839\u636e\u7528\u6237\u4fe1\u606f\u52a8\u6001\u586b\u5145\u3002\u6bd4\u5982\u52a0\u5165\u7528\u6237\u59d3\u540d\u3001\u504f\u597d\u7b49\u3002LangChain \u7684\u6a21\u677f\u5f88\u597d\u5730\u652f\u6301\u4e86\u8fd9\u4e00\u70b9\u3002<\/p>\n

          Q4：\u7cfb\u7edf\u63d0\u793a\u8bcd\u548c\u7528\u6237\u63d0\u793a\u8bcd\u7684\u5206\u5de5\u662f\u4ec0\u4e48？
          \n\u2192 \u7cfb\u7edf\u63d0\u793a\u8bcd\u5b9a\u4e49\u201c\u4f60\u662f\u8c01\u3001\u4f60\u7684\u89c4\u5219\u3001\u4efb\u52a1\u80cc\u666f\u201d，\u7528\u6237\u63d0\u793a\u8bcd\u63cf\u8ff0\u201c\u5f53\u524d\u5177\u4f53\u8981\u505a\u4ec0\u4e48\u201d\u3002\u4e24\u8005\u914d\u5408，\u4f7f\u6a21\u578b\u65e2\u6709\u5168\u5c40\u7ea6\u675f\u53c8\u6709\u5c40\u90e8\u76ee\u6807\u3002\u5728 Agent \u4e2d，\u7cfb\u7edf\u63d0\u793a\u8bcd\u901a\u5e38\u8fd8\u5305\u542b\u53ef\u7528\u5de5\u5177\u7684\u8bf4\u660e\u548c\u51b3\u7b56\u89c4\u5219\u3002<\/p>\n

          Q5：\u5982\u4f55\u8bc4\u4f30\u7cfb\u7edf\u63d0\u793a\u8bcd\u7684\u597d\u574f？
          \n\u2192 \u53ef\u4ee5\u901a\u8fc7\u6784\u5efa\u6d4b\u8bd5\u96c6，\u8bc4\u4f30\u8f93\u51fa\u662f\u5426\u6ee1\u8db3\u8981\u6c42（\u683c\u5f0f\u6b63\u786e\u3001\u5185\u5bb9\u76f8\u5173\u3001\u7ea6\u675f\u9075\u5b88）\u3002\u4e5f\u53ef\u4ee5\u4f7f\u7528\u53e6\u4e00\u4e2a\u6a21\u578b\u6216\u4eba\u5de5\u8fdb\u884c\u8bc4\u5206\u3002\u5728\u5b9e\u9645\u9879\u76ee\u4e2d，\u8fed\u4ee3\u4f18\u5316\u662f\u5e38\u6001\u3002<\/p>\n

          \n

          \u56db\u3001\u4eca\u65e5\u603b\u7ed3\u4e0e\u4f5c\u4e1a<\/h4>\n

          \u4eca\u5929\u4f60\u5b8c\u6210\u4e86：<\/p>\n

            \n
          • \u2705 \u7406\u89e3\u4e86\u7cfb\u7edf\u63d0\u793a\u8bcd\u7684\u6838\u5fc3\u8981\u7d20\u53ca\u5176\u4f5c\u7528\u3002<\/li>\n
          • \u2705 \u7f16\u5199\u4e86\u4e00\u4e2a\u7ed3\u6784\u5316\u7684\u201cAI \u5065\u8eab\u6559\u7ec3\u201d\u7cfb\u7edf\u63d0\u793a\u8bcd，\u5e76\u901a\u8fc7\u5b9e\u9a8c\u5bf9\u6bd4\u4e86\u57fa\u7840\u7248\u548c\u9ad8\u7ea7\u7248\u7684\u5dee\u5f02\u3002<\/li>\n
          • \u2705 \u5b66\u4e60\u4e86\u4f7f\u7528 LangChain \u7ba1\u7406\u7cfb\u7edf\u63d0\u793a\u8bcd\u6a21\u677f\u3002<\/li>\n
          • \u2705 \u638c\u63e1\u4e86\u8c03\u8bd5\u548c\u4f18\u5316\u7cfb\u7edf\u63d0\u793a\u8bcd\u7684\u5e38\u7528\u65b9\u6cd5\u3002<\/li>\n<\/ul>\n

            \u4eca\u65e5\u4f5c\u4e1a（\u5fc5\u505a）：<\/p>\n

          • \u9009\u62e9\u4e00\u4e2a\u4f60\u611f\u5174\u8da3\u7684\u89d2\u8272（\u5982\u201cAI \u65c5\u884c\u89c4\u5212\u5e08\u201d\u3001\u201cAI \u7f16\u7a0b\u5bfc\u5e08\u201d\u3001\u201cAI \u5fc3\u7406\u54a8\u8be2\u5e08\u201d），\u6309\u7167\u4eca\u5929\u7684\u6846\u67b6（\u89d2\u8272\u3001\u80cc\u666f\u3001\u4efb\u52a1\u3001\u7ea6\u675f\u3001\u8f93\u51fa\u683c\u5f0f\u3001\u793a\u4f8b）\u7f16\u5199\u4e00\u4e2a\u5b8c\u6574\u7684\u7cfb\u7edf\u63d0\u793a\u8bcd\u3002\u8981\u6c42\u81f3\u5c11 300 \u5b57，\u5e76\u6d4b\u8bd5 3 \u4e2a\u4e0d\u540c\u7684\u7528\u6237\u8f93\u5165，\u8bb0\u5f55\u8f93\u51fa\u6548\u679c\u3002<\/li>\n
          • \u4f7f\u7528 LangChain \u7684 ChatPromptTemplate \u5b9e\u73b0\u4f60\u7684\u7cfb\u7edf\u63d0\u793a\u8bcd，\u5e76\u6dfb\u52a0\u4e00\u4e2a\u53c2\u6570（\u5982\u7528\u6237\u59d3\u540d），\u5728\u5bf9\u8bdd\u4e2d\u8ba9\u6a21\u578b\u80fd\u591f\u79f0\u547c\u7528\u6237\u3002<\/li>\n
          • \u601d\u8003：\u5728\u6784\u5efa\u4e00\u4e2a\u591a\u667a\u80fd\u4f53\u7cfb\u7edf\u65f6，\u4e0d\u540c Agent \u7684\u7cfb\u7edf\u63d0\u793a\u8bcd\u5982\u4f55\u8bbe\u8ba1\u624d\u80fd\u907f\u514d\u89d2\u8272\u6df7\u6dc6？\u8bf7\u7528 150 \u5b57\u4ee5\u5185\u7b80\u8981\u8bf4\u660e\u4f60\u7684\u65b9\u6848\u3002<\/li>\n

            \u660e\u65e5\u9884\u544a： \u6211\u4eec\u5c06\u8fdb\u884c\u7b2c\u4e8c\u5468\u7684\u9636\u6bb5\u603b\u7ed3\u2014\u2014\u9879\u76ee\u590d\u76d8，\u901a\u8fc7\u4e00\u4e2a\u7efc\u5408\u5b9e\u6218\u201c\u7b80\u5386\u4f18\u5316\u5668\u201d\u6765\u5de9\u56fa\u6240\u5b66\u77e5\u8bc6，\u5e76\u6574\u7406\u4ee3\u7801\u5230 GitHub\u3002<\/p>\n

            \u6709\u4efb\u4f55\u95ee\u9898\u6b22\u8fce\u968f\u65f6\u63d0\u95ee！<\/p>\n","protected":false},"excerpt":{"rendered":"

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