{"id":116019,"date":"2026-10-20T16:24:48","date_gmt":"2026-10-20T08:24:48","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/116019.html"},"modified":"2026-10-20T16:24:48","modified_gmt":"2026-10-20T08:24:48","slug":"%e4%bb%8e%e9%9c%80%e6%b1%82%e5%88%b0%e4%b8%8a%e7%ba%bf%ef%bc%9aai-%e5%8e%9f%e7%94%9f%e5%ba%94%e7%94%a8%ef%bc%88agent%ef%bc%89%e7%9a%84%e7%ab%af%e5%88%b0%e7%ab%af%e5%bc%80%e5%8f%91%e5%ae%9e%e6%88%98","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/116019.html","title":{"rendered":"\u4ece\u9700\u6c42\u5230\u4e0a\u7ebf\uff1aAI \u539f\u751f\u5e94\u7528\uff08Agent\uff09\u7684\u7aef\u5230\u7aef\u5f00\u53d1\u5b9e\u6218"},"content":{"rendered":"

\u5f88\u591a\u56e2\u961f\u505aAI\u5e94\u7528\u65f6，\u4e60\u60ef\u6027\u5730\u628a\u5b83\u5f53\u6210\u4f20\u7edf\u8f6f\u4ef6\u6765\u5f00\u53d1：\u4ea7\u54c1\u7ecf\u7406\u5199PRD，\u540e\u7aef\u753b\u63a5\u53e3\u6587\u6863，\u524d\u7aef\u51fa\u539f\u578b，\u7814\u53d1\u6309\u90e8\u5c31\u73ed\u5b9e\u73b0\u3002\u4f46\u4e00\u4e0a\u751f\u4ea7\u5c31\u53d1\u73b0，\u8fd9\u5957\u6d41\u7a0b\u5728Agent\u573a\u666f\u4e0b\u884c\u4e0d\u901a\u3002<\/p>\n

\u56e0\u4e3a\u5927\u6a21\u578b\u662f\u6982\u7387\u6027\u7cfb\u7edf\u3002\u4f20\u7edf\u8f6f\u4ef6\u201c\u8f93\u5165A\u5fc5\u5b9a\u8f93\u51faB\u201d，\u800cAgent\u201c\u8f93\u5165A\u53ef\u80fd\u8f93\u51faB\u3001C\u6216\u8005\u4e00\u5806\u4e71\u7801\u201d\u3002\u8fd9\u79cd\u4e0d\u786e\u5b9a\u6027\u5bfc\u81f4\u4e86\u5f00\u53d1\u8303\u5f0f\u7684\u6839\u672c\u6539\u53d8：\u4ece\u201c\u7f16\u5199\u786e\u5b9a\u6027\u903b\u8f91\u201d\u53d8\u6210\u4e86\u201c\u5f15\u5bfc\u548c\u7ea6\u675f\u6982\u7387\u6027\u63a8\u7406\u201d\u3002<\/p>\n

\u8fd9\u7bc7\u6587\u7ae0\u629b\u5f00\u9ad8\u6df1\u67b6\u6784，\u4ee5\u5de5\u7a0b\u843d\u5730\u7684\u89c6\u89d2，\u5b8c\u6574\u590d\u76d8\u4e00\u4e2aAI\u539f\u751f\u5e94\u7528（Agent）\u4ece\u9700\u6c42\u5206\u6790\u5230\u4e0a\u7ebf\u8fd0\u7ef4\u7684\u7aef\u5230\u7aef\u5f00\u53d1\u6d41\u7a0b\u3002\u9644\u53ef\u8fd0\u884c\u7684\u4ee3\u7801\u9aa8\u67b6，\u5e0c\u671b\u80fd\u5e2e\u4f60\u907f\u5f00\u201cDemo\u60ca\u8273，\u4e0a\u7ebf\u7ffb\u8f66\u201d\u7684\u5751\u3002<\/p>\n

\u4e00\u3001 \u9700\u6c42\u9636\u6bb5：\u4ece\u201c\u529f\u80fd\u63cf\u8ff0\u201d\u5230\u201c\u80fd\u529b\u8fb9\u754c\u201d<\/h3>\n

\u505aAgent\u6700\u5fcc\u8bb3\u7684\u7b2c\u4e00\u4ef6\u4e8b，\u662f\u8ba9\u4ea7\u54c1\u7ecf\u7406\u76f4\u63a5\u5199\u201c\u6211\u8981\u4e00\u4e2a\u80fd\u81ea\u52a8\u5206\u6790\u8d22\u62a5\u5e76\u5199\u6295\u8d44\u5efa\u8bae\u7684Agent\u201d\u3002\u8fd9\u4e2a\u9700\u6c42\u542c\u8d77\u6765\u5f88\u9177，\u4f46\u5728\u5de5\u7a0b\u4e0a\u65e0\u6cd5\u9a8c\u6536\u3002<\/p>\n

AI\u539f\u751f\u7684\u9700\u6c42\u5206\u6790，\u6838\u5fc3\u4e0d\u662f\u5b9a\u4e49\u201cAI\u80fd\u505a\u4ec0\u4e48\u201d，\u800c\u662f\u5b9a\u4e49\u201cAI\u4e0d\u80fd\u505a\u4ec0\u4e48\u201d\u3002<\/p>\n

\u6211\u4eec\u9700\u8981\u628a\u4f20\u7edfPRD\u8f6c\u6362\u4e3aAgent\u7cfb\u7edf\u5951\u7ea6（Agent Spec）：<\/p>\n

  • \u80fd\u529b\u8fb9\u754c：\u9047\u5230\u8d85\u51fa\u77e5\u8bc6\u5e93\u8303\u56f4\u7684\u95ee\u9898，\u5fc5\u987b\u56de\u7b54\u201c\u4e0d\u77e5\u9053\u201d，\u7981\u6b62\u5e7b\u89c9\u3002<\/li>\n
  • \u5408\u89c4\u7ea2\u7ebf：\u7edd\u5bf9\u4e0d\u80fd\u8f93\u51fa\u786e\u5b9a\u6027\u533b\u7597\u8bca\u65ad\/\u7edd\u5bf9\u5316\u6295\u8d44\u5efa\u8bae\u3002<\/li>\n
  • \u8f93\u5165\u8f93\u51fa\u534f\u8bae：\u8f93\u51fa\u7684\u5fc5\u987b\u662f\u7ed3\u6784\u5316JSON，\u800c\u4e0d\u662f\u81ea\u7136\u8bed\u8a00\u5e9f\u8bdd，\u65b9\u4fbf\u4e0b\u6e38\u7cfb\u7edf\u89e3\u6790\u3002<\/li>\n

    # \u9700\u6c42\u9636\u6bb5\u4ea7\u51fa\u7684\u4e0d\u662fPRD，\u800c\u662f\u7ed3\u6784\u5316\u7684Agent Spec<\/span>
    \nagent_spec =<\/span> {<\/span>
    \n "name"<\/span>:<\/span> "financial_analyst_agent"<\/span>,<\/span>
    \n "goal"<\/span>:<\/span> "\u57fa\u4e8e\u63d0\u4f9b\u7684\u8d22\u62a5\u6570\u636e\u751f\u6210\u5206\u6790\u62a5\u544a"<\/span>,<\/span>
    \n "capabilities"<\/span>:<\/span> [<\/span>
    \n "\u63d0\u53d6\u8425\u6536\u3001\u5229\u6da6\u3001\u73b0\u91d1\u6d41\u7b49\u5173\u952e\u6307\u6807"<\/span>,<\/span>
    \n "\u5bf9\u6bd4\u5386\u53f2\u6570\u636e\u8ba1\u7b97\u540c\u6bd4\/\u73af\u6bd4"<\/span>,<\/span>
    \n "\u751f\u6210\u98ce\u9669\u63d0\u793a"<\/span>
    \n ]<\/span>,<\/span>
    \n "constraints"<\/span>:<\/span> [<\/span>
    \n "\u7981\u6b62\u7f16\u9020\u672a\u5728\u4e0a\u4e0b\u6587\u4e2d\u63d0\u4f9b\u7684\u8d22\u52a1\u6570\u636e"<\/span>,<\/span>
    \n "\u5fc5\u987b\u5f3a\u5236\u5305\u542b\u514d\u8d23\u58f0\u660e"<\/span>
    \n ]<\/span>,<\/span>
    \n "output_schema"<\/span>:<\/span> {<\/span>
    \n "type"<\/span>:<\/span> "object"<\/span>,<\/span>
    \n "properties"<\/span>:<\/span> {<\/span>
    \n "metrics"<\/span>:<\/span> {<\/span>"type"<\/span>:<\/span> "object"<\/span>}<\/span>,<\/span>
    \n "risk_alerts"<\/span>:<\/span> {<\/span>"type"<\/span>:<\/span> "array"<\/span>}<\/span>,<\/span>
    \n "disclaimer"<\/span>:<\/span> {<\/span>"type"<\/span>:<\/span> "string"<\/span>}<\/span>
    \n }<\/span>,<\/span>
    \n "required"<\/span>:<\/span> [<\/span>"metrics"<\/span>,<\/span> "risk_alerts"<\/span>,<\/span> "disclaimer"<\/span>]<\/span>
    \n }<\/span>
    \n}<\/span><\/p>\n

    \u4e8c\u3001 \u67b6\u6784\u8bbe\u8ba1：\u4ece\u201c\u5355\u4f53\u8c03\u7528\u201d\u5230\u201cAgent Workflow\u201d<\/h3>\n

    \u5728\u4ee3\u7801\u5c42\u9762，\u4e0d\u8981\u4e00\u4e0a\u6765\u5c31\u8ffd\u6c42\u590d\u6742\u7684\u591aAgent\u534f\u4f5c\u3002\u6700\u52a1\u5b9e\u3001\u6700\u6613\u7ef4\u62a4\u7684\u67b6\u6784\u662fWorkflow（\u5de5\u4f5c\u6d41）+ Prompt Chain（\u63d0\u793a\u8bcd\u94fe）\u3002<\/p>\n

    \u6211\u4eec\u5c06\u4efb\u52a1\u62c6\u89e3\u4e3a\u786e\u5b9a\u6027\u7684\u8282\u70b9，\u5728\u8282\u70b9\u4e4b\u95f4\u7528\u4ee3\u7801\u63a7\u5236\u6d41\u8f6c，\u53ea\u628a\u201c\u9700\u8981\u6a21\u7cca\u63a8\u7406\u201d\u7684\u90e8\u5206\u4ea4\u7ed9\u5927\u6a21\u578b\u3002<\/p>\n

    import<\/span> json
    \nfrom<\/span> typing import<\/span> TypedDict,<\/span> List<\/p>\n

    # \u5b9a\u4e49\u5de5\u4f5c\u6d41\u7684\u72b6\u6001<\/span>
    \nclass<\/span> AgentState<\/span>(<\/span>TypedDict)<\/span>:<\/span>
    \n user_input:<\/span> str<\/span>
    \n extracted_data:<\/span> dict<\/span>
    \n analysis_result:<\/span> str<\/span>
    \n final_output:<\/span> dict<\/span>
    \n error:<\/span> str<\/span><\/p>\n

    class<\/span> FinancialAnalysisWorkflow<\/span>:<\/span>
    \n def<\/span> __init__<\/span>(<\/span>self,<\/span> llm_client)<\/span>:<\/span>
    \n self.<\/span>llm =<\/span> llm_client<\/p>\n

    def<\/span> run<\/span>(<\/span>self,<\/span> user_input:<\/span> str<\/span>)<\/span> –<\/span>><\/span> dict<\/span>:<\/span>
    \n state =<\/span> AgentState(<\/span>user_input=<\/span>user_input,<\/span> error=<\/span>""<\/span>)<\/span><\/p>\n

    try<\/span>:<\/span>
    \n # \u8282\u70b91：\u610f\u56fe\u8bc6\u522b\u4e0e\u6570\u636e\u63d0\u53d6<\/span>
    \n state =<\/span> self.<\/span>_extract_data(<\/span>state)<\/span>
    \n if<\/span> state.<\/span>get(<\/span>"error"<\/span>)<\/span>:<\/span> return<\/span> self.<\/span>_fallback(<\/span>state)<\/span><\/p>\n

    # \u8282\u70b92：\u5927\u6a21\u578b\u63a8\u7406\u5206\u6790<\/span>
    \n state =<\/span> self.<\/span>_analyze(<\/span>state)<\/span>
    \n if<\/span> state.<\/span>get(<\/span>"error"<\/span>)<\/span>:<\/span> return<\/span> self.<\/span>_fallback(<\/span>state)<\/span><\/p>\n

    # \u8282\u70b93：\u7ed3\u6784\u5316\u8f93\u51fa\u6821\u9a8c<\/span>
    \n state =<\/span> self.<\/span>_format_output(<\/span>state)<\/span><\/p>\n

    return<\/span> state[<\/span>"final_output"<\/span>]<\/span><\/p>\n

    except<\/span> Exception as<\/span> e:<\/span>
    \n state[<\/span>"error"<\/span>]<\/span> =<\/span> str<\/span>(<\/span>e)<\/span>
    \n return<\/span> self.<\/span>_fallback(<\/span>state)<\/span><\/p>\n

    def<\/span> _extract_data<\/span>(<\/span>self,<\/span> state:<\/span> AgentState)<\/span> –<\/span>><\/span> AgentState:<\/span>
    \n # \u4f7f\u7528Function Calling\u6216JSON\u6a21\u5f0f\u5f3a\u5236\u63d0\u53d6<\/span>
    \n prompt =<\/span> f"\u4ece\u4ee5\u4e0b\u6587\u672c\u4e2d\u63d0\u53d6\u8d22\u52a1\u6570\u636e，\u8f93\u51faJSON：\\\\n<\/span>{<\/span>state[<\/span>'user_input'<\/span>]<\/span>}<\/span><\/span>"<\/span><\/span>
    \n response =<\/span> self.<\/span>llm.<\/span>chat(<\/span>prompt,<\/span> response_format=<\/span>{<\/span>"type"<\/span>:<\/span> "json_object"<\/span>}<\/span>)<\/span><\/p>\n

    try<\/span>:<\/span>
    \n state[<\/span>"extracted_data"<\/span>]<\/span> =<\/span> json.<\/span>loads(<\/span>response)<\/span>
    \n except<\/span> json.<\/span>JSONDecodeError:<\/span>
    \n state[<\/span>"error"<\/span>]<\/span> =<\/span> "\u6570\u636e\u63d0\u53d6\u5931\u8d25，\u683c\u5f0f\u975eJSON"<\/span>
    \n return<\/span> state<\/p>\n

    def<\/span> _analyze<\/span>(<\/span>self,<\/span> state:<\/span> AgentState)<\/span> –<\/span>><\/span> AgentState:<\/span>
    \n prompt =<\/span> f"\u57fa\u4e8e\u4ee5\u4e0b\u6570\u636e\u751f\u6210\u5206\u6790\u62a5\u544a：\\\\n<\/span>{<\/span>json.<\/span>dumps(<\/span>state[<\/span>'extracted_data'<\/span>]<\/span>)<\/span>}<\/span><\/span>"<\/span><\/span>
    \n # \u9650\u5236\u6700\u5927\u957f\u5ea6，\u9632\u6b62\u6a21\u578b\u65e0\u9650\u53d1\u6563<\/span>
    \n state[<\/span>"analysis_result"<\/span>]<\/span> =<\/span> self.<\/span>llm.<\/span>chat(<\/span>prompt,<\/span> max_tokens=<\/span>500<\/span>)<\/span>
    \n return<\/span> state<\/p>\n

    def<\/span> _format_output<\/span>(<\/span>self,<\/span> state:<\/span> AgentState)<\/span> –<\/span>><\/span> AgentState:<\/span>
    \n # \u5f3a\u7ea6\u675f\u683c\u5f0f\u5316，\u5e76\u5728\u4ee3\u7801\u5c42\u9762\u5f3a\u884c\u63d2\u5165\u514d\u8d23\u58f0\u660e<\/span>
    \n state[<\/span>"final_output"<\/span>]<\/span> =<\/span> {<\/span>
    \n "analysis"<\/span>:<\/span> state[<\/span>"analysis_result"<\/span>]<\/span>,<\/span>
    \n "disclaimer"<\/span>:<\/span> "\u672c\u62a5\u544a\u7531AI\u751f\u6210，\u4ec5\u4f9b\u53c2\u8003，\u4e0d\u6784\u6210\u6295\u8d44\u5efa\u8bae\u3002"<\/span>
    \n }<\/span>
    \n return<\/span> state<\/p>\n

    def<\/span> _fallback<\/span>(<\/span>self,<\/span> state:<\/span> AgentState)<\/span> –<\/span>><\/span> dict<\/span>:<\/span>
    \n return<\/span> {<\/span>"analysis"<\/span>:<\/span> "\u7cfb\u7edf\u7e41\u5fd9\u6216\u6570\u636e\u5f02\u5e38，\u8bf7\u7a0d\u540e\u518d\u8bd5\u3002"<\/span>,<\/span> "error"<\/span>:<\/span> state.<\/span>get(<\/span>"error"<\/span>)<\/span>}<\/span><\/p>\n

    \u5de5\u7a0b\u7ecf\u9a8c：\u80fd\u7528\u4ee3\u7801\u5199\u6b7b\u7684（\u5982\u62fc\u88c5JSON\u3001\u52a0\u514d\u8d23\u58f0\u660e\u3001\u5224\u65ad\u662f\u5426\u4e3a\u7a7a），\u7edd\u5bf9\u4e0d\u8981\u4ea4\u7ed9\u5927\u6a21\u578b\u505a\u3002 \u5927\u6a21\u578b\u53ea\u8d1f\u8d23\u201c\u8bed\u8a00\u7406\u89e3\u548c\u751f\u6210\u201d，\u8fd9\u624d\u662f\u5b83\u80fd\u4fdd\u6301\u7a33\u5b9a\u8f93\u51fa\u7684\u5173\u952e\u3002<\/p>\n

    \u4e09\u3001 \u5f00\u53d1\u9636\u6bb5：Prompt\u5de5\u7a0b\u4e0e\u9632\u5fa1\u6027\u7f16\u7a0b<\/h3>\n

    \u5728\u5f00\u53d1\u9636\u6bb5，\u5de5\u7a0b\u5e08\u7684\u6838\u5fc3\u5de5\u4f5c\u4ece\u201c\u5199\u4e1a\u52a1\u903b\u8f91\u201d\u53d8\u6210\u4e86\u201c\u5199Prompt\u201d\u548c\u201c\u5199\u6821\u9a8c\u89c4\u5219\u201d\u3002<\/p>\n

    1. Prompt\u7248\u672c\u5316<\/h4>\n

    \u5343\u4e07\u522b\u628aPrompt\u5199\u5728Java\/Python\u7684\u4ee3\u7801\u5b57\u7b26\u4e32\u91cc\u3002\u4e00\u65e6\u9700\u6c42\u53d8\u52a8，\u4f60\u9700\u8981\u91cd\u65b0\u7f16\u8bd1\u6253\u5305\u3002\u628aPrompt\u62bd\u79bb\u5230\u914d\u7f6e\u4e2d\u5fc3\u6216\u6570\u636e\u5e93，\u50cf\u7ba1\u7406\u4ee3\u7801\u4e00\u6837\u7ba1\u7406Prompt\u7684\u7248\u672c\u3002<\/p>\n

    class<\/span> PromptManager<\/span>:<\/span>
    \n def<\/span> __init__<\/span>(<\/span>self,<\/span> config_client)<\/span>:<\/span>
    \n self.<\/span>config =<\/span> config_client<\/p>\n

    def<\/span> get_prompt<\/span>(<\/span>self,<\/span> scene:<\/span> str<\/span>,<\/span> version:<\/span> str<\/span> =<\/span> "latest"<\/span>)<\/span> –<\/span>><\/span> str<\/span>:<\/span>
    \n # \u4ece\u914d\u7f6e\u4e2d\u5fc3\u62c9\u53d6<\/span>
    \n return<\/span> self.<\/span>config.<\/span>get(<\/span>f"prompt_<\/span>{<\/span>scene}<\/span><\/span>_<\/span>{<\/span>version}<\/span><\/span>"<\/span><\/span>)<\/span><\/p>\n

    2. \u9632\u5fa1\u6027\u89e3\u6790<\/h4>\n

    \u6c38\u8fdc\u4e0d\u8981\u76f8\u4fe1\u5927\u6a21\u578b\u4f1a100%\u8fd4\u56de\u5408\u6cd5\u7684JSON\u3002\u5373\u4f7f\u4f60\u7528\u4e86json_object\u6a21\u5f0f，\u4e5f\u53ef\u80fd\u9047\u5230\u622a\u65ad\u3001\u5305\u542bMarkdown\u6807\u8bb0\u7b49\u95ee\u9898\u3002<\/p>\n

    import<\/span> re<\/p>\n

    def<\/span> safe_parse_json<\/span>(<\/span>text:<\/span> str<\/span>)<\/span> –<\/span>><\/span> dict<\/span>:<\/span>
    \n """\u9632\u5fa1\u6027JSON\u89e3\u6790"""<\/span>
    \n # 1. \u53bb\u9664Markdown\u4ee3\u7801\u5757\u6807\u8bb0<\/span>
    \n text =<\/span> re.<\/span>sub(<\/span>r'```json\\\\s*|\\\\s*```'<\/span>,<\/span> ''<\/span>,<\/span> text)<\/span>.<\/span>strip(<\/span>)<\/span><\/p>\n

    # 2. \u5c1d\u8bd5\u76f4\u63a5\u89e3\u6790<\/span>
    \n try<\/span>:<\/span>
    \n return<\/span> json.<\/span>loads(<\/span>text)<\/span>
    \n except<\/span> json.<\/span>JSONDecodeError:<\/span>
    \n pass<\/span><\/p>\n

    # 3. \u5c1d\u8bd5\u63d0\u53d6\u5927\u62ec\u53f7\u5185\u7684\u5185\u5bb9<\/span>
    \n match<\/span> =<\/span> re.<\/span>search(<\/span>r'\\\\{.*\\\\}'<\/span>,<\/span> text,<\/span> re.<\/span>DOTALL)<\/span>
    \n if<\/span> match<\/span>:<\/span>
    \n try<\/span>:<\/span>
    \n return<\/span> json.<\/span>loads(<\/span>match<\/span>.<\/span>group(<\/span>0<\/span>)<\/span>)<\/span>
    \n except<\/span> json.<\/span>JSONDecodeError:<\/span>
    \n pass<\/span><\/p>\n

    # 4. \u5f7b\u5e95\u5931\u8d25，\u8fd4\u56de\u9ed8\u8ba4\u503c\u5e76\u8bb0\u5f55\u65e5\u5fd7<\/span>
    \n logger.<\/span>error(<\/span>f"JSON\u89e3\u6790\u5f7b\u5e95\u5931\u8d25: <\/span>{<\/span>text[<\/span>:<\/span>100]<\/span>}<\/span><\/span>"<\/span><\/span>)<\/span>
    \n return<\/span> {<\/span>"error"<\/span>:<\/span> "PARSE_FAILED"<\/span>,<\/span> "raw"<\/span>:<\/span> text}<\/span><\/p>\n

    \u56db\u3001 \u6d4b\u8bd5\u9636\u6bb5：\u4ece\u201c\u65ad\u8a00\u201d\u5230\u201c\u8bc4\u4f30\u201d<\/h3>\n

    AI\u5e94\u7528\u4e0d\u80fd\u53ea\u5199\u5355\u5143\u6d4b\u8bd5\u3002\u56e0\u4e3a\u540c\u6837\u7684\u8f93\u5165，\u6a21\u578b\u53ef\u80fd\u7ed9\u51fa\u4e0d\u540c\u7684\u8f93\u51fa（\u5373\u4f7fTemperature\u8bbe\u4e3a0，\u5e95\u5c42\u7b97\u5b50\u4e5f\u53ef\u80fd\u6709\u5fae\u5c0f\u7684\u5dee\u5f02）\u3002<\/p>\n

    AI\u539f\u751f\u7684\u6d4b\u8bd5\u53ebEvals（\u8bc4\u4f30）\u3002<\/p>\n

  • \u6784\u5efa\u9ec4\u91d1\u6570\u636e\u96c6（Golden Dataset）：\u6536\u96c650-100\u4e2a\u5178\u578b\u7684\u771f\u5b9e\u7528\u6237Query，\u5e76\u4eba\u5de5\u5199\u597d\u201c\u5b8c\u7f8e\u56de\u7b54\u201d\u3002<\/li>\n
  • \u81ea\u52a8\u5316\u6253\u5206：\u7528\u53e6\u4e00\u4e2a\u66f4\u5f3a\u7684\u6a21\u578b（\u5982GPT-4）\u4f5c\u4e3a\u88c1\u5224（LLM-as-a-Judge），\u5bf9\u6bd4Agent\u7684\u8f93\u51fa\u4e0e\u5b8c\u7f8e\u56de\u7b54\u7684\u8bed\u4e49\u76f8\u4f3c\u5ea6\u3001\u662f\u5426\u5305\u542b\u8fdd\u7981\u8bcd\u7b49\u3002<\/li>\n

    class<\/span> LLMJudge<\/span>:<\/span>
    \n def<\/span> __init__<\/span>(<\/span>self,<\/span> evaluator_llm)<\/span>:<\/span>
    \n self.<\/span>llm =<\/span> evaluator_llm<\/p>\n

    def<\/span> evaluate<\/span>(<\/span>self,<\/span> query:<\/span> str<\/span>,<\/span> expected:<\/span> str<\/span>,<\/span> actual:<\/span> str<\/span>)<\/span> –<\/span>><\/span> dict<\/span>:<\/span>
    \n prompt =<\/span> f"""\u4f60\u662f\u4e00\u4e2a\u4e25\u683c\u7684\u88c1\u5224\u3002\u8bf7\u8bc4\u4f30AI\u7684\u56de\u7b54\u8d28\u91cf\u3002
    \n\u7528\u6237\u95ee\u9898：<\/span>{<\/span>query}<\/span><\/span>
    \n\u6807\u51c6\u7b54\u6848：<\/span>{<\/span>expected}<\/span><\/span>
    \nAI\u5b9e\u9645\u56de\u7b54：<\/span>{<\/span>actual}<\/span><\/span><\/p>\n

    \u8bc4\u4f30\u7ef4\u5ea6：
    \n1. \u4e8b\u5b9e\u51c6\u786e\u6027（\u662f\u5426\u51fa\u73b0\u5e7b\u89c9）- 0\u52305\u5206
    \n2. \u683c\u5f0f\u5408\u89c4\u6027（\u662f\u5426\u5305\u542b\u514d\u8d23\u58f0\u660e）- 0\u52305\u5206
    \n3. \u8bed\u6c14\u4e0e\u4e13\u4e1a\u6027 – 0\u52305\u5206<\/p>\n

    \u8bf7\u8f93\u51faJSON\u8bc4\u5206\u53ca\u7406\u7531："""<\/span><\/span>
    \n response =<\/span> self.<\/span>llm.<\/span>chat(<\/span>prompt)<\/span>
    \n return<\/span> json.<\/span>loads(<\/span>response)<\/span><\/p>\n

    \u4e94\u3001 \u4e0a\u7ebf\u4e0e\u8fd0\u7ef4：\u53ef\u89c2\u6d4b\u6027\u5373\u751f\u547d<\/h3>\n

    AI\u5e94\u7528\u4e0a\u7ebf\u540e，\u5982\u679c\u6ca1\u6709\u5b8c\u5584\u7684\u76d1\u63a7，\u5c31\u50cf\u5728\u9ed1\u591c\u4e2d\u95ed\u773c\u5f00\u8f66\u3002<\/p>\n

    \u5fc5\u987b\u8bb0\u5f55\u7684\u6307\u6807<\/h4>\n
      \n
    • \u4e1a\u52a1\u6307\u6807：QPS\u3001\u6210\u529f\u7387\u3001\u5e73\u5747\u8017\u65f6\u3002<\/li>\n
    • AI\u4e13\u5c5e\u6307\u6807：Token\u6d88\u8017\u3001\u9996\u5b57\u5ef6\u8fdf（TTFT，\u6d41\u5f0f\u8f93\u51fa）\u3001Prompt\u957f\u5ea6\u3002<\/li>\n
    • \u8d28\u91cf\u6307\u6807：\u89e3\u6790\u5931\u8d25\u7387\u3001\u515c\u5e95\u89e6\u53d1\u7387\u3001\u7528\u6237\u70b9\u8e29\u7387\u3002<\/li>\n<\/ul>\n

      \u94fe\u8def\u8ffd\u8e2a（Trace）<\/h4>\n

      \u6bcf\u4e00\u6b21Agent\u8c03\u7528，\u5fc5\u987b\u8bb0\u5f55\u5b8c\u6574\u7684\u4e0a\u4e0b\u6587：\u7528\u6237\u7684\u539f\u59cb\u8f93\u5165 -> \u6700\u7ec8\u53d1\u7ed9\u6a21\u578b\u7684Prompt -> \u6a21\u578b\u8fd4\u56de\u7684\u539f\u59cb\u6587\u672c -> \u7ecf\u8fc7\u89e3\u6790\u540e\u7684\u6570\u636e -> \u6700\u7ec8\u7ed9\u7528\u6237\u7684\u8f93\u51fa\u3002<\/p>\n

      import<\/span> logging
      \nimport<\/span> json<\/p>\n

      logger =<\/span> logging.<\/span>getLogger(<\/span>"agent_trace"<\/span>)<\/span><\/p>\n

      def<\/span> trace_agent_call<\/span>(<\/span>task_id,<\/span> user_input,<\/span> prompt,<\/span> raw_response,<\/span> parsed_output)<\/span>:<\/span>
      \n # \u5728\u5b9e\u9645\u751f\u4ea7\u4e2d，\u8fd9\u91cc\u5e94\u8be5\u5199\u5165ELK\u6216ClickHouse<\/span>
      \n trace_data =<\/span> {<\/span>
      \n "task_id"<\/span>:<\/span> task_id,<\/span>
      \n "input"<\/span>:<\/span> user_input,<\/span>
      \n "prompt_sent"<\/span>:<\/span> prompt,<\/span>
      \n "raw_response"<\/span>:<\/span> raw_response,<\/span>
      \n "parsed_output"<\/span>:<\/span> parsed_output
      \n }<\/span>
      \n logger.<\/span>info(<\/span>f"AGENT_TRACE: <\/span>{<\/span>json.<\/span>dumps(<\/span>trace_data,<\/span> ensure_ascii=<\/span>False<\/span>)<\/span>}<\/span><\/span>"<\/span><\/span>)<\/span><\/p>\n

      \u8fd9\u6837，\u5f53\u4e1a\u52a1\u65b9\u8dd1\u6765\u8bf4\u201c\u6628\u5929\u4e0b\u5348\u8fd9\u4e2a\u56de\u7b54\u6709\u95ee\u9898\u201d\u65f6，\u4f60\u624d\u80fd\u7acb\u523b\u62ff\u7740task_id\u67e5\u51fa\u5230\u5e95\u662f\u7528\u6237\u8f93\u5165\u592a\u5947\u8469\u3001Prompt\u6ca1\u5199\u6e05\u3001\u8fd8\u662f\u6a21\u578b\u62bd\u98ce，\u4ece\u800c\u5feb\u901f\u5b9a\u4f4d\u95ee\u9898\u3002<\/p>\n

      \u5199\u5728\u6700\u540e<\/h3>\n

      AI\u539f\u751f\u5e94\u7528（Agent）\u7684\u5f00\u53d1，\u672c\u8d28\u4e0a\u662f\u5728**\u201c\u7528\u786e\u5b9a\u6027\u7684\u5de5\u7a0b\u4ee3\u7801\u201d\u53bb\u5305\u88f9\u201c\u6982\u7387\u6027\u7684AI\u80fd\u529b\u201d**\u3002<\/p>\n

      \u4ece\u9700\u6c42\u5b9a\u4e49\u8fb9\u754c，\u5230\u8bbe\u8ba1Workflow\u62c6\u89e3\u4efb\u52a1，\u518d\u5230\u9632\u5fa1\u6027\u7f16\u7a0b\u3001LLM-as-a-Judge\u8bc4\u4f30，\u6700\u540e\u5230\u5168\u94fe\u8def\u53ef\u89c2\u6d4b\u6027\u2014\u2014\u8fd9\u5957\u7aef\u5230\u7aef\u7684\u6d41\u7a0b，\u624d\u662f\u5c06Agent\u4ece\u201c\u597d\u73a9\u7684Demo\u201d\u53d8\u6210\u201c\u53ef\u9760\u7684\u751f\u4ea7\u529b\u5de5\u5177\u201d\u7684\u5fc5\u7ecf\u4e4b\u8def\u3002<\/p>\n

      \u4e0d\u8981\u8ff7\u4fe1\u201c\u5168\u81ea\u52a8\u667a\u80fd\u4f53\u201d，\u5728\u751f\u4ea7\u73af\u5883\u91cc，\u514b\u5236\u548c\u7ea6\u675f\u5f80\u5f80\u6bd4\u81ea\u7531\u548c\u521b\u9020\u66f4\u80fd\u521b\u9020\u5546\u4e1a\u4ef7\u503c\u3002\u5982\u679c\u4f60\u7684\u56e2\u961f\u6b63\u51c6\u5907\u4e0a\u7ebf\u7b2c\u4e00\u4e2aAgent，\u5efa\u8bae\u5148\u4ece\u4e00\u4e2a\u8fb9\u754c\u6e05\u6670\u7684Workflow\u5f00\u59cb，\u628a\u9519\u8bef\u515c\u5e95\u548c\u65e5\u5fd7\u94fe\u8def\u505a\u624e\u5b9e，\u518d\u9010\u6b65\u5f15\u5165\u66f4\u590d\u6742\u7684\u89c4\u5212\u80fd\u529b\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

      \u5f88\u591a\u56e2\u961f\u505aAI\u5e94\u7528\u65f6，\u4e60\u60ef\u6027\u5730\u628a\u5b83\u5f53\u6210\u4f20\u7edf\u8f6f\u4ef6\u6765\u5f00\u53d1：\u4ea7\u54c1\u7ecf\u7406\u5199PRD，\u540e\u7aef\u753b\u63a5\u53e3\u6587\u6863，\u524d\u7aef\u51fa\u539f\u578b，\u7814\u53d1\u6309\u90e8\u5c31\u73ed\u5b9e\u73b0\u3002\u4f46\u4e00\u4e0a\u751f\u4ea7\u5c31\u53d1\u73b0，\u8fd9\u5957\u6d41\u7a0b\u5728Agent\u573a\u666f\u4e0b\u884c\u4e0d\u901a\u3002
      \n\u56e0\u4e3a\u5927\u6a21\u578b\u662f\u6982\u7387\u6027\u7cfb\u7edf\u3002\u4f20\u7edf\u8f6f\u4ef6\u201c\u8f93\u5165A\u5fc5\u5b9a\u8f93\u51faB\u201d，\u800cAgent\u201c\u8f93\u5165A\u53ef\u80fd\u8f93\u51faB\u3001C\u6216\u8005\u4e00\u5806\u4e71\u7801\u201d\u3002\u8fd9\u79cd\u4e0d\u786e\u5b9a\u6027\u5bfc\u81f4\u4e86\u5f00\u53d1\u8303\u5f0f\u7684\u6839\u672c\u6539\u53d8：\u4ece\u201c\u7f16\u5199\u786e\u5b9a\u6027\u903b\u8f91\u201d\u53d8\u6210\u4e86\u201c\u5f15\u5bfc\u548c\u7ea6\u675f\u6982\u7387\u6027\u63a8\u7406\u201d\u3002<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[50],"topic":[],"class_list":["post-116019","post","type-post","status-publish","format-standard","hentry","category-server","tag-50"],"yoast_head":"\n\u4ece\u9700\u6c42\u5230\u4e0a\u7ebf\uff1aAI \u539f\u751f\u5e94\u7528\uff08Agent\uff09\u7684\u7aef\u5230\u7aef\u5f00\u53d1\u5b9e\u6218 - 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