{"id":53843,"date":"2025-02-18T09:19:52","date_gmt":"2025-02-18T01:19:52","guid":{"rendered":"https:\/\/fwq.ai\/blog\/53843\/"},"modified":"2025-02-18T09:19:52","modified_gmt":"2025-02-18T01:19:52","slug":"%e8%b0%b7%e6%ad%8c-ai-agent-%e7%99%bd%e7%9a%ae%e4%b9%a6-3-3","status":"publish","type":"post","link":"https:\/\/fwq.ai\/blog\/53843\/","title":{"rendered":"\u8c37\u6b4c AI Agent \u767d\u76ae\u4e66 3\/3"},"content":{"rendered":"<p><\/p>\n<p style=\"text-align: left\"><span>\u672c\u7bc7\u5bf9\u5e94\u539f\u767d\u76ae\u4e66\u4ee5\u4e0b\u7ae0\u8282\uff1a<\/span><\/p>\n<p style=\"text-align: center\"><span><span style=\"font-size: 20px;font-weight: bold\">3. \u901a\u8fc7\u9488\u5bf9\u6027\u5b66\u4e60\u63d0\u5347\u6a21\u578b\u6027\u80fd<\/span><\/span><\/p>\n<p style=\"text-align: left\"><span><span>\u73b0\u5b9e\u573a\u666f\u901a\u5e38\u9700\u8981\u8d85\u51fa\u8bad\u7ec3\u6570\u636e\u7684\u77e5\u8bc6\uff0c\u6709\u4ee5\u4e0b\u51e0\u79cd\u65b9\u6cd5\u5e2e\u52a9\u6a21\u578b\/agent \u83b7\u53d6\u8fd9\u4e9b\u77e5\u8bc6\uff1a<\/span><\/span><\/p>\n<ul>\n<li>\n<p style=\"text-align: left\"><span><span>\u5728\u63a8\u7406\u65f6\u901a\u8fc7\u63d0\u793a\u8bcd\u63d0\u4f9b\u793a\u4f8b<\/span><\/span><\/p>\n<\/li>\n<li>\n<p style=\"text-align: left\"><span><span>\u57fa\u4e8e\u68c0\u7d22\u7684\u4e0a\u4e0b\u6587\u5b66\u4e60 \uff08RAG\uff09\uff1a\u63d0\u4f9b\u5916\u90e8\u77e5\u8bc6\u5e93<\/span><\/span><\/p>\n<\/li>\n<li>\n<p style=\"text-align: left;margin-bottom: 24px\"><span><span>\u57fa\u4e8e Fine-tune \u7684\u5b66\u4e60\uff1a\u4f7f\u7528\u7279\u5b9a\u6570\u636e\u5fae\u8c03<\/span><\/span><\/p>\n<\/li>\n<\/ul>\n<p><span>\u6709\u6548\u4f7f\u7528\u6a21\u578b\u7684\u5173\u952e\u4e4b\u4e00\u662f\u5b83\u4eec\u5728\u751f\u6210\u8f93\u51fa\u65f6\u80fd\u591f\u9009\u62e9\u5408\u9002\u7684\u5de5\u5177\uff0c\u7279\u522b\u662f\u5728\u751f\u4ea7\u73af\u5883\u4e2d\u5927\u89c4\u6a21\u4f7f\u7528\u5de5\u5177\u65f6\u3002<\/span><\/p>\n<p><span>\u867d\u7136\u4e00\u822c\u7684\u8bad\u7ec3\u6709\u52a9\u4e8e\u6a21\u578b\u53d1\u5c55\u8fd9\u4e00\u6280\u80fd\uff0c\u4f46\u73b0\u5b9e\u573a\u666f\u901a\u5e38\u9700\u8981\u8d85\u51fa\u8bad\u7ec3\u6570\u636e\u7684\u77e5\u8bc6\u3002\u53ef\u4ee5\u5c06\u5176\u60f3\u8c61\u4e3a\u57fa\u672c\u70f9\u996a\u6280\u80fd\u4e0e\u7cbe\u901a\u7279\u5b9a\u83dc\u7cfb\u4e4b\u95f4\u7684\u533a\u522b\u3002\u4e24\u8005\u90fd\u9700\u8981\u57fa\u7840\u7684\u70f9\u996a\u77e5\u8bc6\uff0c\u4f46\u540e\u8005\u9700\u8981\u9488\u5bf9\u66f4\u7ec6\u81f4\u7ed3\u679c\u7684\u4e13\u95e8\u5b66\u4e60\u3002<\/span><\/p>\n<p><span>\u4e3a\u4e86\u5e2e\u52a9\u6a21\u578b\u83b7\u53d6\u8fd9\u79cd\u7279\u5b9a\u77e5\u8bc6\uff0c\u5b58\u5728\u51e0\u79cd\u65b9\u6cd5\uff1a<\/span><\/p>\n<ul>\n<li>\n<p style=\"margin-bottom: 8px\"><span>\u4e0a\u4e0b\u6587\u5b66\u4e60\uff1a\u8fd9\u79cd\u65b9\u6cd5\u5728\u63a8\u7406\u65f6\u4e3a\u901a\u7528\u6a21\u578b\u63d0\u4f9b\u63d0\u793a\u3001\u5de5\u5177\u548c\u5c11\u6837\u672c\u793a\u4f8b\uff0c\u4f7f\u5176\u80fd\u591f\u5728\u7279\u5b9a\u4efb\u52a1\u4e2d\u201c\u5373\u65f6\u201d\u5b66\u4e60\u5982\u4f55\u4ee5\u53ca\u4f55\u65f6\u4f7f\u7528\u8fd9\u4e9b\u5de5\u5177\u3002ReAct \u6846\u67b6\u662f\u81ea\u7136\u8bed\u8a00\u5904\u7406\u4e2d\u8fd9\u79cd\u65b9\u6cd5\u7684\u4e00\u4e2a\u4f8b\u5b50\u3002<\/span><\/p>\n<\/li>\n<li>\n<p style=\"margin-bottom: 8px\"><span>\u57fa\u4e8e\u68c0\u7d22\u7684\u4e0a\u4e0b\u6587\u5b66\u4e60\uff1a\u8be5\u6280\u672f\u901a\u8fc7\u4ece\u5916\u90e8\u5b58\u50a8\u4e2d\u68c0\u7d22\u6700\u76f8\u5173\u4fe1\u606f\u3001\u5de5\u5177\u548c\u76f8\u5173\u793a\u4f8b\uff0c\u52a8\u6001\u586b\u5145\u6a21\u578b\u63d0\u793a\u3002\u4f8b\u5982\uff0cVertex AI \u6269\u5c55\u4e2d\u7684\u201c\u793a\u4f8b\u5b58\u50a8\u201d\u6216\u4e4b\u524d\u63d0\u5230\u7684\u57fa\u4e8e RAG \u67b6\u6784\u7684\u6570\u636e\u5b58\u50a8\u3002<\/span><\/p>\n<\/li>\n<li>\n<p style=\"margin-bottom: 24px\"><span>\u57fa\u4e8e\u5fae\u8c03\u7684\u5b66\u4e60\uff1a\u8fd9\u79cd\u65b9\u6cd5\u5728\u63a8\u7406\u4e4b\u524d\u4f7f\u7528\u66f4\u5927\u7684\u7279\u5b9a\u793a\u4f8b\u6570\u636e\u96c6\u8bad\u7ec3\u6a21\u578b\u3002\u8fd9\u6709\u52a9\u4e8e\u6a21\u578b\u5728\u63a5\u6536\u5230\u4efb\u4f55\u7528\u6237\u67e5\u8be2\u4e4b\u524d\u7406\u89e3\u4f55\u65f6\u4ee5\u53ca\u5982\u4f55\u5e94\u7528\u67d0\u4e9b\u5de5\u5177\u3002<\/span><\/p>\n<\/li>\n<\/ul>\n<p><span>\u4e3a\u4e86\u8fdb\u4e00\u6b65\u6df1\u5165\u4e86\u89e3\u6bcf\u79cd\u9488\u5bf9\u6027\u5b66\u4e60\u65b9\u6cd5\uff0c\u8ba9\u6211\u4eec\u56de\u987e\u4e00\u4e0b\u6211\u4eec\u7684\u70f9\u996a\u7c7b\u6bd4\u3002<\/span><\/p>\n<ul>\n<li>\n<p style=\"margin-bottom: 8px\"><span>\u5047\u8bbe\u6709\u4e00\u4f4d\u53a8\u5e08\u6536\u5230\u4e86\u4e00\u4efd\u5177\u4f53\u7684\u98df\u8c31\uff08\u63d0\u793a\uff09\u3001\u4e00\u4e9b\u5173\u952e\u98df\u6750\uff08\u76f8\u5173\u5de5\u5177\uff09\u4ee5\u53ca\u4e00\u4e9b\u793a\u4f8b\u83dc\u80b4\uff08\u5c11\u91cf\u793a\u4f8b\uff09\u3002\u57fa\u4e8e\u8fd9\u4e9b\u6709\u9650\u7684\u4fe1\u606f\u548c\u53a8\u5e08\u5bf9\u70f9\u996a\u7684\u666e\u904d\u77e5\u8bc6\uff0c\u4ed6\u4eec\u9700\u8981\u201c\u5373\u5174\u201d\u60f3\u51fa\u5982\u4f55\u51c6\u5907\u4e00\u9053\u6700\u7b26\u5408\u98df\u8c31\u548c\u987e\u5ba2\u504f\u597d\u7684\u83dc\u80b4\u3002\u8fd9\u5c31\u662f\u4e0a\u4e0b\u6587\u5b66\u4e60\u3002<\/span><\/p>\n<\/li>\n<li>\n<p style=\"margin-bottom: 8px\"><span>\u73b0\u5728\uff0c\u8ba9\u6211\u4eec\u60f3\u8c61\u4e00\u4e0b\uff0c\u8fd9\u4f4d\u53a8\u5e08\u5728\u4e00\u4e2a\u5907\u6709\u4e30\u5bcc\u98df\u6750\u7684\u53a8\u623f\uff08\u5916\u90e8\u6570\u636e\u5b58\u50a8\uff09\u4e2d\uff0c\u91cc\u9762\u88c5\u6ee1\u4e86\u5404\u79cd\u98df\u6750\u548c\u70f9\u996a\u4e66\uff08\u793a\u4f8b\u548c\u5de5\u5177\uff09\u3002\u53a8\u5e08\u73b0\u5728\u80fd\u591f\u4ece\u50a8\u85cf\u5ba4\u4e2d\u52a8\u6001\u9009\u62e9\u98df\u6750\u548c\u70f9\u996a\u4e66\uff0c\u4ece\u800c\u66f4\u597d\u5730\u7b26\u5408\u987e\u5ba2\u7684\u98df\u8c31\u548c\u504f\u597d\u3002\u8fd9\u4f7f\u5f97\u53a8\u5e08\u80fd\u591f\u5229\u7528\u73b0\u6709\u548c\u65b0\u77e5\u8bc6\uff0c\u5236\u4f5c\u51fa\u66f4\u660e\u667a\u548c\u7cbe\u81f4\u7684\u83dc\u80b4\u3002\u8fd9\u5c31\u662f\u57fa\u4e8e\u68c0\u7d22\u7684\u4e0a\u4e0b\u6587\u5b66\u4e60\u3002<\/span><\/p>\n<\/li>\n<li>\n<p style=\"margin-bottom: 24px\"><span>\u6700\u540e\uff0c\u5047\u8bbe\u6211\u4eec\u628a\u8fd9\u4f4d\u53a8\u5e08\u9001\u56de\u5b66\u6821\u5b66\u4e60\u4e00\u79cd\u6216\u591a\u79cd\u65b0\u7684\u83dc\u7cfb\uff08\u5728\u66f4\u5927\u7684\u7279\u5b9a\u793a\u4f8b\u6570\u636e\u96c6\u4e0a\u8fdb\u884c\u9884\u8bad\u7ec3\uff09\u3002\u8fd9\u4f7f\u5f97\u53a8\u5e08\u80fd\u591f\u4ee5\u66f4\u6df1\u5165\u7684\u7406\u89e3\u6765\u5e94\u5bf9\u672a\u6765\u672a\u89c1\u8fc7\u7684\u987e\u5ba2\u98df\u8c31\u3002\u5982\u679c\u6211\u4eec\u5e0c\u671b\u53a8\u5e08\u5728\u7279\u5b9a\u83dc\u7cfb\uff08\u77e5\u8bc6\u9886\u57df\uff09\u4e2d\u8868\u73b0\u51fa\u8272\uff0c\u8fd9\u79cd\u65b9\u6cd5\u975e\u5e38\u5b8c\u7f8e\u3002\u8fd9\u5c31\u662f\u57fa\u4e8e\u5fae\u8c03\u7684\u5b66\u4e60\u3002<\/span><\/p>\n<\/li>\n<\/ul>\n<p style=\"margin-bottom: 24px\"><span>\u6bcf\u79cd\u65b9\u6cd5\u5728\u901f\u5ea6\u3001\u6210\u672c\u548c\u5ef6\u8fdf\u65b9\u9762\u90fd\u6709\u72ec\u7279\u7684\u4f18\u52bf\u548c\u52a3\u52bf\u3002\u7136\u800c\uff0c\u901a\u8fc7\u5728\u4ee3\u7406\u6846\u67b6\u4e2d\u7ed3\u5408\u8fd9\u4e9b\u6280\u672f\uff0c\u6211\u4eec\u53ef\u4ee5\u5229\u7528\u5404\u81ea\u7684\u4f18\u52bf\u5e76\u6700\u5c0f\u5316\u5176\u52a3\u52bf\uff0c\u4ece\u800c\u5b9e\u73b0\u66f4\u5f3a\u5927\u548c\u9002\u5e94\u6027\u66f4\u5f3a\u7684\u89e3\u51b3\u65b9\u6848\u3002<\/span><\/p>\n<p style=\"text-align: center\"><span><span style=\"font-size: 20px;font-weight: bold\">4. \u4f7f\u7528 LangChain \u5feb\u901f\u4e0a\u624b Agent<\/span><\/span><\/p>\n<p><span>\u4e3a\u4e86\u63d0\u4f9b\u4e00\u4e2a\u771f\u5b9e\u7684\u53ef\u6267\u884c\u4ee3\u7406\u793a\u4f8b\uff0c\u6211\u4eec\u5c06\u4f7f\u7528 LangChain \u548c LangGraph \u5e93\u5feb\u901f\u6784\u5efa\u4e00\u4e2a\u539f\u578b\u3002\u8fd9\u4e9b\u6d41\u884c\u7684\u5f00\u6e90\u5e93\u5141\u8bb8\u7528\u6237\u901a\u8fc7\u201c\u94fe\u63a5\u201d\u903b\u8f91\u3001\u63a8\u7406\u548c\u5de5\u5177\u8c03\u7528\u7684\u5e8f\u5217\u6765\u6784\u5efa\u81ea\u5b9a\u4e49 Agent\uff0c\u4ee5\u56de\u7b54\u7528\u6237\u7684\u67e5\u8be2\u3002<\/span><\/p>\n<p><span>\u6211\u4eec\u5c06\u4f7f\u7528\u6211\u4eec\u7684 gemini-1.5-flash-001 \u6a21\u578b\u548c\u4e00\u4e9b\u7b80\u5355\u7684\u5de5\u5177\u6765\u56de\u7b54\u7528\u6237\u7684\u591a\u9636\u6bb5\u67e5\u8be2\uff0c\u5982\u4ee3\u7801\u7247\u6bb5 8 \u6240\u793a\u3002\u6211\u4eec\u4f7f\u7528\u7684\u5de5\u5177\u5305\u62ec SerpAPI\uff08\u7528\u4e8e\u8c37\u6b4c\u641c\u7d22\uff09\u548c Google Places API\u3002\u5728\u4ee3\u7801\u7247\u6bb5 8 \u4e2d\u6267\u884c\u6211\u4eec\u7684\u7a0b\u5e8f\u540e\uff0c\u60a8\u53ef\u4ee5\u5728\u4ee3\u7801\u7247\u6bb5 9 \u4e2d\u770b\u5230\u793a\u4f8b\u8f93\u51fa\u3002<\/span><\/p>\n<pre><code><span><span>from<\/span><span>&nbsp;langgraph.prebuilt&nbsp;<\/span><span>import<\/span><span>&nbsp;create_react_agent<\/span><\/span><\/code><code><span><span>from<\/span><span>&nbsp;langchain_core.tools&nbsp;<\/span><span>import<\/span><span>&nbsp;tool<\/span><\/span><\/code><code><span><span>from<\/span><span>&nbsp;langchain_community.utilities&nbsp;<\/span><span>import<\/span><span>&nbsp;SerpAPIWrapper<\/span><\/span><\/code><code><span><span>from<\/span><span>&nbsp;langchain_community.tools&nbsp;<\/span><span>import<\/span><span>&nbsp;GooglePlacesTool<\/span><\/span><\/code><code><span><span>os.environ[<\/span><span>\"SERPAPI_API_KEY\"<\/span><span>] =&nbsp;<\/span><span>\"XXXXX\"<\/span><\/span><\/code><code><span><span>os.environ[<\/span><span>\"GPLACES_API_KEY\"<\/span><span>] =&nbsp;<\/span><span>\"XXXXX\"<\/span><\/span><\/code><code><span><span>@tool<\/span><\/span><\/code><code><span><span>def<\/span><span>&nbsp;<\/span><span>search<\/span><span>(<\/span><span><span>query:&nbsp;<\/span><\/span><span><span>str<\/span><\/span><span>):<\/span><\/span><\/code><code><span><span>&nbsp; &nbsp;&nbsp;<\/span><span>\"\"\"Use the SerpAPI to run a Google Search.\"\"\"<\/span><\/span><\/code><code><span><span>&nbsp; &nbsp; search = SerpAPIWrapper()<\/span><\/span><\/code><code><span><span>&nbsp; &nbsp;&nbsp;<\/span><span>return<\/span><span>&nbsp;search.run(query)<\/span><\/span><\/code><code><span><span>@tool<\/span><\/span><\/code><code><span><span>def<\/span><span>&nbsp;<\/span><span>places<\/span><span>(<\/span><span><span>query:&nbsp;<\/span><\/span><span><span>str<\/span><\/span><span>):<\/span><\/span><\/code><code><span><span>&nbsp; &nbsp;&nbsp;<\/span><span>\"\"\"Use the Google Places API to run a Google Places Query.\"\"\"<\/span><\/span><\/code><code><span><span>&nbsp; &nbsp; places = GooglePlacesTool()<\/span><\/span><\/code><code><span><span>&nbsp; &nbsp;&nbsp;<\/span><span>return<\/span><span>&nbsp;places.run(query)<\/span><\/span><\/code><code><span><span>model = ChatVertexAI(model=<\/span><span>\"gemini-1.5-flash-001\"<\/span><span>)<\/span><\/span><\/code><code><span><span>tools = [search, places]<\/span><\/span><\/code><code><span><span>query =&nbsp;<\/span><span>\"Who did the Texas Longhorns play in football last week? What is the address of the other team's stadium?\"<\/span><\/span><\/code><code><span><span>agent = create_react_agent(model, tools)<\/span><\/span><\/code><code><span><span>input<\/span><span>&nbsp;= {<\/span><span>\"messages\"<\/span><span>: [(<\/span><span>\"human\"<\/span><span>, query)]}<\/span><\/span><\/code><code><span><span>for<\/span><span>&nbsp;s&nbsp;<\/span><span>in<\/span><span>&nbsp;agent.stream(<\/span><span>input<\/span><span>, stream_mode=<\/span><span>\"values\"<\/span><span>):<\/span><\/span><\/code><code><span><span>&nbsp; &nbsp; message = s[<\/span><span>\"messages\"<\/span><span>][-<\/span><span>1<\/span><span>]<\/span><\/span><\/code><code><span><span>&nbsp; &nbsp;&nbsp;<\/span><span>if<\/span><span>&nbsp;<\/span><span>isinstance<\/span><span>(message,&nbsp;<\/span><span>tuple<\/span><span>):<\/span><\/span><\/code><code><span><span>&nbsp; &nbsp; &nbsp; &nbsp;&nbsp;<\/span><span>print<\/span><span>(message)<\/span><\/span><\/code><code><span><span>&nbsp; &nbsp;&nbsp;<\/span><span>else<\/span><span>:<\/span><\/span><\/code><code><span><span>&nbsp; &nbsp; &nbsp; &nbsp; message.pretty_print() &nbsp;<\/span><\/span><\/code><\/pre>\n<p style=\"text-align: center\"><span><span style=\"font-size: 14px\">\u4ee3\u7801\u7247\u6bb5 8 \u57fa\u4e8e LangChain \u548c LangGraph \u7684\u5e26\u5de5\u5177\u4ee3\u7406\u793a\u4f8b<\/span><\/span><\/p>\n<pre><code><span><span>===============================<\/span><span>&nbsp;<\/span><span>Human<\/span><span>&nbsp;<\/span><span>Message<\/span><span>&nbsp;<\/span><span>================================<\/span><\/span><\/code><code><span><span>Who<\/span><span>&nbsp;did the&nbsp;<\/span><span>Texas<\/span><span>&nbsp;<\/span><span>Longhorns<\/span><span>&nbsp;play&nbsp;<\/span><span>in<\/span><span>&nbsp;football last week<\/span><span>?<\/span><span>&nbsp;<\/span><span>What<\/span><span>&nbsp;<\/span><span>is<\/span><span>&nbsp;the address of the other team's stadium<\/span><span>?<\/span><\/span><\/code><code><span><span>=================================<\/span><span>&nbsp;<\/span><span>Ai<\/span><span>&nbsp;<\/span><span>Message<\/span><span>&nbsp;<\/span><span>=================================<\/span><\/span><\/code><code><span><span>Tool<\/span><span>&nbsp;<\/span><span>Calls<\/span><span>: search<\/span><\/span><\/code><code><span><span>Args<\/span><span>:<\/span><\/span><\/code><code><span><span>&nbsp; &nbsp; query:&nbsp;<\/span><span>Texas<\/span><span>&nbsp;<\/span><span>Longhorns<\/span><span>&nbsp;football schedule<\/span><\/span><\/code><code><span><span>================================<\/span><span>&nbsp;<\/span><span>Tool<\/span><span>&nbsp;<\/span><span>Message<\/span><span>&nbsp;<\/span><span>================================<\/span><\/span><\/code><code><span><span>Name<\/span><span>: search<\/span><\/span><\/code><code><span><span>{<\/span><span>...<\/span><span>Results<\/span><span>:&nbsp;<\/span><span>\"NCAA Division I Football, Georgia, Date...\"<\/span><span>}<\/span><\/span><\/code><code><span><span>=================================<\/span><span>&nbsp;<\/span><span>Ai<\/span><span>&nbsp;<\/span><span>Message<\/span><span>&nbsp;<\/span><span>=================================<\/span><\/span><\/code><code><span><span>The<\/span><span>&nbsp;<\/span><span>Texas<\/span><span>&nbsp;<\/span><span>Longhorns<\/span><span>&nbsp;played the&nbsp;<\/span><span>Georgia<\/span><span>&nbsp;<\/span><span>Bulldogs<\/span><span>&nbsp;last week.<\/span><\/span><\/code><code><span><span>Tool<\/span><span>&nbsp;<\/span><span>Calls<\/span><span>: places<\/span><\/span><\/code><code><span><span>Args<\/span><span>:<\/span><\/span><\/code><code><span><span>&nbsp; &nbsp; query:&nbsp;<\/span><span>Georgia<\/span><span>&nbsp;<\/span><span>Bulldogs<\/span><span>&nbsp;stadium<\/span><\/span><\/code><code><span><span>================================<\/span><span>&nbsp;<\/span><span>Tool<\/span><span>&nbsp;<\/span><span>Message<\/span><span>&nbsp;<\/span><span>================================<\/span><\/span><\/code><code><span><span>Name<\/span><span>: places<\/span><\/span><\/code><code><span><span>{<\/span><span>...<\/span><span>Sanford<\/span><span>&nbsp;<\/span><span>Stadium<\/span><span>&nbsp;<\/span><span>Address<\/span><span>:&nbsp;<\/span><span>100<\/span><span>&nbsp;<\/span><span>Sanford<\/span><span>...}<\/span><\/span><\/code><code><span><span>=================================<\/span><span>&nbsp;<\/span><span>Ai<\/span><span>&nbsp;<\/span><span>Message<\/span><span>&nbsp;<\/span><span>=================================<\/span><\/span><\/code><code><span><span>The<\/span><span>&nbsp;address of the&nbsp;<\/span><span>Georgia<\/span><span>&nbsp;<\/span><span>Bulldogs<\/span><span>&nbsp;stadium&nbsp;<\/span><span>is<\/span><span>&nbsp;<\/span><span>100<\/span><span>&nbsp;<\/span><span>Sanford<\/span><span>&nbsp;<\/span><span>Dr<\/span><span>,&nbsp;<\/span><span>Athens<\/span><span>,&nbsp;<\/span><span>GA<\/span><span>&nbsp;<\/span><span>30602<\/span><span>,&nbsp;<\/span><span>USA<\/span><span>.<\/span><\/span><\/code><\/pre>\n<p style=\"text-align: center\"><span><span style=\"font-size: 14px\">\u4ee3\u7801\u7247\u6bb5 9 &nbsp;\u4ee3\u7801\u7247\u6bb5 8 \u4e2d\u7a0b\u5e8f\u7684\u8f93\u51fa\u7ed3\u679c<\/span><\/span><\/p>\n<p><span><\/span>  <\/p>\n<p><span>\u5c3d\u7ba1\u8fd9\u662f\u4e00\u4e2a\u76f8\u5f53\u7b80\u5355\u7684\u4ee3\u7406\u793a\u4f8b\uff0c\u4f46\u5b83\u5c55\u793a\u4e86\u6a21\u578b\u3001\u7f16\u6392\u548c\u5de5\u5177\u5171\u540c\u534f\u4f5c\u4ee5\u5b9e\u73b0\u7279\u5b9a\u76ee\u6807\u7684\u57fa\u7840\u7ec4\u4ef6\u3002\u5728\u6700\u540e\u4e00\u90e8\u5206\uff0c\u6211\u4eec\u5c06\u63a2\u8ba8\u8fd9\u4e9b\u7ec4\u4ef6\u5982\u4f55\u5728\u8c37\u6b4c\u89c4\u6a21\u7684\u6258\u7ba1\u4ea7\u54c1\u4e2d\u7ed3\u5408\uff0c\u4f8b\u5982 Vertex AI \u4ee3\u7406\u548c\u751f\u6210\u5f0f Playbooks\u3002<\/span><\/p>\n<p><span><\/span>  <\/p>\n<p style=\"text-align: center\"><span><span style=\"font-size: 20px;font-weight: bold\">5. \u5e26\u6709 Vertex AI Agents \u7684\u751f\u4ea7\u5e94\u7528<\/span><\/span><\/p>\n<p><span>?<span>Vertex AI\uff1a\u4e00\u4e2a Agent \u642d\u5efa\u5e73\u53f0<\/span><\/span><\/p>\n<p><span>\u867d\u7136\u672c\u767d\u76ae\u4e66\u63a2\u8ba8\u4e86\u4ee3\u7406\u7684\u6838\u5fc3\u7ec4\u4ef6\uff0c\u4f46\u6784\u5efa\u751f\u4ea7\u7ea7\u5e94\u7528\u7a0b\u5e8f\u9700\u8981\u5c06\u5b83\u4eec\u4e0e\u7528\u6237\u754c\u9762\u3001\u8bc4\u4f30\u6846\u67b6\u548c\u6301\u7eed\u6539\u8fdb\u673a\u5236\u7b49\u5176\u4ed6\u5de5\u5177\u96c6\u6210\u3002<\/span><\/p>\n<p><span>\u8c37\u6b4c\u7684 Vertex AI \u5e73\u53f0\u901a\u8fc7\u63d0\u4f9b\u4e00\u4e2a\u5b8c\u5168\u6258\u7ba1\u7684\u73af\u5883\uff0c\u6db5\u76d6\u4e86\u524d\u9762\u63d0\u5230\u7684\u6240\u6709\u57fa\u672c\u5143\u7d20\uff0c\u7b80\u5316\u4e86\u8fd9\u4e00\u8fc7\u7a0b\u3002\u4f7f\u7528\u81ea\u7136\u8bed\u8a00\u754c\u9762\uff0c\u5f00\u53d1\u4eba\u5458\u53ef\u4ee5\u5feb\u901f\u5b9a\u4e49\u5176 Agent \u7684\u5173\u952e\u5143\u7d20\u2014\u2014\u76ee\u6807\u3001\u4efb\u52a1\u6307\u4ee4\u3001\u5de5\u5177\u3001\u4efb\u52a1\u59d4\u6d3e\u7684\u5b50 Agent \u548c\u793a\u4f8b\u2014\u2014\u4ece\u800c\u8f7b\u677e\u6784\u5efa\u6240\u9700\u7684\u7cfb\u7edf\u884c\u4e3a\u3002<\/span><\/p>\n<p><span>\u6b64\u5916\uff0c\u8be5\u5e73\u53f0\u8fd8\u914d\u5907\u4e86\u4e00\u5957\u5f00\u53d1\u5de5\u5177\uff0c\u5141\u8bb8\u8fdb\u884c\u6d4b\u8bd5\u3001\u8bc4\u4f30\u3001\u6d4b\u91cf\u4ee3\u7406\u6027\u80fd\u3001\u8c03\u8bd5\u4ee5\u53ca\u63d0\u9ad8\u5f00\u53d1 Agent \u7684\u6574\u4f53\u8d28\u91cf\u3002\u8fd9\u4f7f\u5f97\u5f00\u53d1\u4eba\u5458\u53ef\u4ee5\u4e13\u6ce8\u4e8e\u6784\u5efa\u548c\u4f18\u5316\u5176 Agent \uff0c\u800c\u57fa\u7840\u8bbe\u65bd\u3001\u90e8\u7f72\u548c\u7ef4\u62a4\u7684\u590d\u6742\u6027\u5219\u7531\u5e73\u53f0\u672c\u8eab\u7ba1\u7406\u3002<\/span><\/p>\n<p><span>\u5728\u56fe 15 \u4e2d\uff0c\u6211\u4eec\u5c55\u793a\u4e86\u4e00\u4e2a\u5728 Vertex AI \u5e73\u53f0\u4e0a\u6784\u5efa\u7684 Agent \u7684\u793a\u4f8b\u67b6\u6784\uff0c\u8be5\u67b6\u6784\u4f7f\u7528\u4e86 Vertex Agent Builder\u3001Vertex Extensions\u3001Vertex Function Calling \u548c Vertex Example Store \u7b49\u8bf8\u591a\u529f\u80fd\u3002\u8be5\u67b6\u6784\u5305\u542b\u4e86\u751f\u4ea7\u7ea7\u5e94\u7528\u7a0b\u5e8f\u6240\u9700\u7684\u5404\u79cd\u7ec4\u4ef6\u3002<\/span><\/p>\n<p style=\"text-align: center\"><span><span style=\"font-size: 14px\">\u56fe15. \u57fa\u4e8eVertex AI\u5e73\u53f0\u6784\u5efa\u7684\u7aef\u5230\u7aef\u4ee3\u7406\u67b6\u6784\u793a\u4f8b<\/span><\/span><\/p>\n<p><span>\u60a8\u53ef\u4ee5\u5c1d\u8bd5\u4ece\u6211\u4eec\u7684\u5b98\u65b9\u6587\u6863\u4e2d\u4f53\u9a8c\u8fd9\u4e2a\u9884\u6784\u5efa\u7684\u4ee3\u7406\u67b6\u6784\u793a\u4f8b\u3002<\/span><\/p>\n<p style=\"text-align: center\"><span><span style=\"font-size: 20px;font-weight: bold\">6. \u603b\u7ed3<\/span><\/span><\/p>\n<p><span>\u5728\u672c\u767d\u76ae\u4e66\u4e2d\uff0c\u6211\u4eec\u8ba8\u8bba\u4e86\u751f\u6210\u5f0f AI Agent \u7684\u57fa\u7840\u6784\u5efa\u6a21\u5757\u3001\u5b83\u4eec\u7684\u7ec4\u6210\u4ee5\u53ca\u5b9e\u73b0\u8fd9\u4e9b Agent \u7684\u6709\u6548\u65b9\u6cd5\uff0c\u5373\u8ba4\u77e5\u67b6\u6784\u3002\u672c\u767d\u76ae\u4e66\u7684\u4e00\u4e9b\u5173\u952e\u8981\u70b9\u5305\u62ec\uff1a<\/span><\/p>\n<ol>\n<li>\n<p style=\"margin-bottom: 8px\"><span>Agent \u901a\u8fc7\u5229\u7528\u5de5\u5177\u8bbf\u95ee\u5b9e\u65f6\u4fe1\u606f\u3001\u5efa\u8bae\u73b0\u5b9e\u4e16\u754c\u7684\u884c\u52a8\u4ee5\u53ca\u81ea\u4e3b\u89c4\u5212\u548c\u6267\u884c\u590d\u6742\u4efb\u52a1\uff0c\u6269\u5c55\u4e86\u8bed\u8a00\u6a21\u578b\u7684\u80fd\u529b\u3002 Agent \u53ef\u4ee5\u5229\u7528\u4e00\u4e2a\u6216\u591a\u4e2a\u8bed\u8a00\u6a21\u578b\u6765\u51b3\u5b9a\u4f55\u65f6\u4ee5\u53ca\u5982\u4f55\u901a\u8fc7\u72b6\u6001\u8f6c\u6362\uff0c\u5e76\u4f7f\u7528\u5916\u90e8\u5de5\u5177\u6765\u5b8c\u6210\u4efb\u4f55\u6570\u91cf\u7684\u590d\u6742\u4efb\u52a1\uff0c\u8fd9\u4e9b\u4efb\u52a1\u5bf9\u4e8e\u6a21\u578b\u672c\u8eab\u6765\u8bf4\u53ef\u80fd\u662f\u56f0\u96be\u6216\u4e0d\u53ef\u80fd\u5b8c\u6210\u7684\u3002<\/span><\/p>\n<\/li>\n<li>\n<p style=\"margin-bottom: 8px\"><span>Agent \u64cd\u4f5c\u7684\u6838\u5fc3\u662f\u7f16\u6392\u5c42\uff0c\u8fd9\u662f\u4e00\u79cd\u7ed3\u6784\u5316\u63a8\u7406\u3001\u89c4\u5212\u3001\u51b3\u7b56\u5e76\u6307\u5bfc\u5176\u884c\u52a8\u7684\u8ba4\u77e5\u67b6\u6784\u3002\u5404\u79cd\u63a8\u7406\u6280\u672f\uff0c\u5982 ReAct\u3001Chain-of-Thought \u548c Tree-of-Thoughts\uff0c\u4e3a\u7f16\u6392\u5c42\u63d0\u4f9b\u4e86\u4e00\u4e2a\u6846\u67b6\uff0c\u4f7f\u5176\u80fd\u591f\u63a5\u6536\u4fe1\u606f\u3001\u8fdb\u884c\u5185\u90e8\u63a8\u7406\u5e76\u751f\u6210\u6709\u6839\u636e\u7684\u51b3\u7b56\u6216\u54cd\u5e94\u3002<\/span><\/p>\n<\/li>\n<li>\n<p style=\"margin-bottom: 24px\"><span>\u5de5\u5177\uff0c\u5982\u6269\u5c55\u3001\u51fd\u6570\u548c\u6570\u636e\u5b58\u50a8\uff0c\u662f\u4ee3\u7406\u901a\u5411\u5916\u90e8\u4e16\u754c\u7684\u5173\u952e\uff0c\u4f7f\u5b83\u4eec\u80fd\u591f\u4e0e\u5916\u90e8\u7cfb\u7edf\u4ea4\u4e92\u5e76\u8bbf\u95ee\u8d85\u51fa\u5176\u8bad\u7ec3\u6570\u636e\u7684\u77e5\u8bc6\u3002\u6269\u5c55\u5728 Agent \u548c\u5916\u90e8 API \u4e4b\u95f4\u67b6\u8d77\u4e86\u6865\u6881\uff0c\u4f7f API \u8c03\u7528\u5f97\u4ee5\u6267\u884c\u5e76\u83b7\u53d6\u5b9e\u65f6\u4fe1\u606f\u3002\u51fd\u6570\u901a\u8fc7\u5206\u5de5\u63d0\u4f9b\u4e86\u66f4\u7ec6\u81f4\u7684\u5f00\u53d1\u8005\u63a7\u5236\uff0c\u5141\u8bb8 Agent \u751f\u6210\u53ef\u5728\u5ba2\u6237\u7aef\u6267\u884c\u7684\u51fd\u6570\u53c2\u6570\u3002\u6570\u636e\u5b58\u50a8\u4e3a Agent \u63d0\u4f9b\u4e86\u5bf9\u7ed3\u6784\u5316\u6216\u975e\u7ed3\u6784\u5316\u6570\u636e\u7684\u8bbf\u95ee\uff0c\u4ece\u800c\u5b9e\u73b0\u4e86\u6570\u636e\u9a71\u52a8\u7684\u5e94\u7528\u3002<\/span><\/p>\n<\/li>\n<\/ol>\n<p><span>Agent \u7684\u672a\u6765\u5145\u6ee1\u6fc0\u52a8\u4eba\u5fc3\u7684\u8fdb\u6b65\uff0c\u6211\u4eec\u624d\u521a\u521a\u5f00\u59cb\u89e6\u53ca\u53ef\u80fd\u6027\u7684\u8868\u9762\u3002\u968f\u7740\u5de5\u5177\u53d8\u5f97\u66f4\u52a0\u590d\u6742\u4e14\u63a8\u7406\u80fd\u529b\u5f97\u5230\u589e\u5f3a\uff0c Agent \u5c06\u88ab\u8d4b\u4e88\u89e3\u51b3\u65e5\u76ca\u590d\u6742\u95ee\u9898\u7684\u80fd\u529b\u3002\u6b64\u5916\uff0c\u201c\u4ee3\u7406\u94fe\uff08 Agent chaining\uff09\u201d\u7684\u6218\u7565\u65b9\u6cd5\u5c06\u7ee7\u7eed\u83b7\u5f97\u52bf\u5934\u3002<\/span><\/p>\n<p><span>\u901a\u8fc7\u7ed3\u5408\u4e13\u95e8\u5316\u7684 Agent \u2014\u2014\u6bcf\u4e2a Agent \u5728\u7279\u5b9a\u9886\u57df\u6216\u4efb\u52a1\u4e2d\u8868\u73b0\u5353\u8d8a\u2014\u2014\u6211\u4eec\u53ef\u4ee5\u521b\u5efa\u4e00\u79cd\u201c\u667a\u80fd\u4f53\u4e13\u5bb6\u6df7\u5408\uff08mixture of agent experts\uff09\u201d\u65b9\u6cd5\uff0c\u80fd\u591f\u8de8\u591a\u4e2a\u884c\u4e1a\u548c\u95ee\u9898\u9886\u57df\u63d0\u4f9b\u5353\u8d8a\u6210\u679c\u3002<\/span><\/p>\n<p><span>\u91cd\u8981\u7684\u662f\u8981\u8bb0\u4f4f\uff0c\u6784\u5efa\u590d\u6742\u7684 Agent \u67b6\u6784\u9700\u8981\u91c7\u7528\u8fed\u4ee3\u65b9\u6cd5\u3002<\/span><\/p>\n<p><span>\u5b9e\u9a8c\u548c\u4f18\u5316\u662f\u627e\u5230\u7279\u5b9a\u4e1a\u52a1\u6848\u4f8b\u548c\u7ec4\u7ec7\u9700\u6c42\u89e3\u51b3\u65b9\u6848\u7684\u5173\u952e\u3002\u7531\u4e8e\u652f\u6491\u5176\u67b6\u6784\u7684\u57fa\u7840\u6a21\u578b\u5177\u6709\u751f\u6210\u6027\uff0c\u56e0\u6b64\u6ca1\u6709\u4e24\u4e2a Agent \u662f\u5b8c\u5168\u76f8\u540c\u7684\u3002\u7136\u800c\uff0c\u901a\u8fc7\u5229\u7528\u6bcf\u4e2a\u57fa\u7840\u7ec4\u4ef6\u7684\u4f18\u52bf\uff0c\u6211\u4eec\u53ef\u4ee5\u521b\u5efa\u5177\u6709\u5f71\u54cd\u529b\u7684\u5e94\u7528\uff0c\u6269\u5c55\u8bed\u8a00\u6a21\u578b\u7684\u80fd\u529b\u5e76\u9a71\u52a8\u5b9e\u9645\u4ef7\u503c\u3002<\/span><\/p>\n<h1><span><span style=\"font-size: 20px;font-weight: bold\">\u5c3e\u6ce8<\/span><\/span><\/h1>\n<ol>\n<li>\n<p style=\"text-align: left;margin-bottom: 8px\"><span><span style=\"font-size: 15px\">Shafran, I., Cao, Y. et al., 2022, &#8216;ReAct: Synergizing Reasoning and Acting in Language Models&#8217;. Available at: https:\/\/arxiv.org\/abs\/2210.03629<\/span><\/span><\/p>\n<\/li>\n<li>\n<p style=\"text-align: left;margin-bottom: 8px\"><span><span style=\"font-size: 15px\">Wei, J., Wang, X. et al., 2023, &#8216;Chain-of-Thought Prompting Elicits Reasoning in Large Language Models&#8217;. Available at: https:\/\/arxiv.org\/pdf\/2201.11903.pdf.<\/span><\/span><\/p>\n<\/li>\n<li>\n<p style=\"text-align: left;margin-bottom: 8px\"><span><span style=\"font-size: 15px\">Wang, X. et al., 2022, &#8216;Self-Consistency Improves Chain of Thought Reasoning in Language Models&#8217;. Available at: https:\/\/arxiv.org\/abs\/2203.11171.<\/span><\/span><\/p>\n<\/li>\n<li>\n<p style=\"text-align: left;margin-bottom: 8px\"><span><span style=\"font-size: 15px\">Diao, S. et al., 2023, &#8216;Active Prompting with Chain-of-Thought for Large Language Models&#8217;. Available at: https:\/\/arxiv.org\/pdf\/2302.12246.pdf.<\/span><\/span><\/p>\n<\/li>\n<li>\n<p style=\"text-align: left;margin-bottom: 8px\"><span><span style=\"font-size: 15px\">Zhang, H. et al., 2023, &#8216;Multimodal Chain-of-Thought Reasoning in Language Models&#8217;. Available at: https:\/\/arxiv.org\/abs\/2302.00923.<\/span><\/span><\/p>\n<\/li>\n<li>\n<p style=\"text-align: left;margin-bottom: 8px\"><span><span style=\"font-size: 15px\">Yao, S. et al., 2023, &#8216;Tree of Thoughts: Deliberate Problem Solving with Large Language Models&#8217;. Available at: https:\/\/arxiv.org\/abs\/2305.10601.<\/span><\/span><\/p>\n<\/li>\n<li>\n<p style=\"text-align: left;margin-bottom: 8px\"><span><span style=\"font-size: 15px\">Long, X., 2023, &#8216;Large Language Model Guided Tree-of-Thought&#8217;. Available at: https:\/\/arxiv.org\/abs\/2305.08291.<\/span><\/span><\/p>\n<\/li>\n<li>\n<p style=\"text-align: left;margin-bottom: 8px\"><span><span style=\"font-size: 15px\">Google. &#8216;Google Gemini Application&#8217;. Available at: http:\/\/gemini.google.com.<\/span><\/span><\/p>\n<\/li>\n<li>\n<p style=\"text-align: left;margin-bottom: 8px\"><span><span style=\"font-size: 15px\">Swagger. &#8216;OpenAPI Specification&#8217;. Available at: https:\/\/swagger.io\/specification\/.<\/span><\/span><\/p>\n<\/li>\n<li>\n<p style=\"text-align: left;margin-bottom: 8px\"><span><span style=\"font-size: 15px\">Xie, M., 2022, &#8216;How does in-context learning work? A framework for understanding the differences from traditional supervised learning&#8217;. Available at: https:\/\/ai.stanford.edu\/blog\/understanding-incontext\/.<\/span><\/span><\/p>\n<\/li>\n<li>\n<p style=\"text-align: left;margin-bottom: 8px\"><span><span style=\"font-size: 15px\">Google Research. &#8216;ScaNN (Scalable Nearest Neighbors)&#8217;. Available at: https:\/\/github.com\/google-research\/google-research\/tree\/master\/scann.<\/span><\/span><\/p>\n<\/li>\n<li>\n<p style=\"text-align: left;margin-bottom: 8px\"><span><span style=\"font-size: 15px\">LangChain. &#8216;LangChain&#8217;. Available at: https:\/\/python.langchain.com\/v0.2\/docs\/introduction\/<\/span><\/span><\/p>\n<\/li>\n<\/ol>\n<p><\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u672c\u7bc7\u5bf9\u5e94\u539f\u767d\u76ae\u4e66\u4ee5\u4e0b\u7ae0\u8282\uff1a 3. \u901a\u8fc7\u9488\u5bf9\u6027\u5b66\u4e60\u63d0\u5347\u6a21\u578b\u6027\u80fd \u73b0\u5b9e\u573a\u666f\u901a\u5e38\u9700\u8981\u8d85\u51fa\u8bad\u7ec3\u6570\u636e\u7684\u77e5\u8bc6\uff0c\u6709\u4ee5\u4e0b\u51e0\u79cd\u65b9\u6cd5\u5e2e\u52a9\u6a21\u578b\/agent \u83b7\u53d6\u8fd9\u4e9b\u77e5\u8bc6\uff1a \u5728\u63a8\u7406\u65f6\u901a\u8fc7\u63d0\u793a\u8bcd\u63d0\u4f9b\u793a\u4f8b \u57fa\u4e8e\u68c0\u7d22\u7684\u4e0a\u4e0b\u6587\u5b66\u4e60 \uff08RAG\uff09\uff1a\u63d0\u4f9b\u5916\u90e8\u77e5\u8bc6\u5e93 \u57fa\u4e8e Fine-tune \u7684\u5b66\u4e60\uff1a\u4f7f\u7528\u7279\u5b9a\u6570\u636e\u5fae\u8c03 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Agent\uff0c\u4ee5\u56de\u7b54\u7528\u6237\u7684\u67e5\u8be2\u3002 \u6211\u4eec\u5c06\u4f7f\u7528\u6211\u4eec\u7684 gemini-1.5-flash-001 \u6a21\u578b\u548c\u4e00\u4e9b\u7b80\u5355\u7684\u5de5\u5177\u6765\u56de\u7b54\u7528\u6237\u7684\u591a\u9636\u6bb5\u67e5\u8be2\uff0c\u5982\u4ee3\u7801\u7247\u6bb5 8 \u6240\u793a\u3002\u6211\u4eec\u4f7f\u7528\u7684\u5de5\u5177\u5305\u62ec SerpAPI\uff08\u7528\u4e8e\u8c37\u6b4c\u641c\u7d22\uff09\u548c Google Places API\u3002\u5728\u4ee3\u7801\u7247\u6bb5 8 \u4e2d\u6267\u884c\u6211\u4eec\u7684\u7a0b\u5e8f\u540e\uff0c\u60a8\u53ef\u4ee5\u5728\u4ee3\u7801\u7247\u6bb5 9 \u4e2d\u770b\u5230\u793a\u4f8b\u8f93\u51fa\u3002 from&nbsp;langgraph.prebuilt&nbsp;import&nbsp;create_react_agentfrom&nbsp;langchain_core.tools&nbsp;import&nbsp;toolfrom&nbsp;langchain_community.utilities&nbsp;import&nbsp;SerpAPIWrapperfrom&nbsp;langchain_community.tools&nbsp;import&nbsp;GooglePlacesToolos.environ[&#8220;SERPAPI_API_KEY&#8221;] =&nbsp;&#8220;XXXXX&#8221;os.environ[&#8220;GPLACES_API_KEY&#8221;] =&nbsp;&#8220;XXXXX&#8221;@tooldef&nbsp;search(query:&nbsp;str):&nbsp; &nbsp;&nbsp;&#8220;&#8221;&#8221;Use 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