{"id":85902,"date":"2026-07-27T23:49:41","date_gmt":"2026-07-27T15:49:41","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/85902.html"},"modified":"2026-07-27T23:49:41","modified_gmt":"2026-07-27T15:49:41","slug":"%e6%b7%b1%e5%85%a5%e7%90%86%e8%a7%a3-ai-agent%e3%80%8b","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/85902.html","title":{"rendered":"\u6df1\u5165\u7406\u89e3 AI Agent\u300b"},"content":{"rendered":"

\u300a\u6df1\u5165\u7406\u89e3 AI Agent\u300b\u5f00\u6e90\u4e66\u4f53\u9a8c\u8bc4\u6d4b：10\u7ae0+88\u5b9e\u9a8c，428\u9875\u514d\u8d39\u8bfb\u5b8c\u5230\u5e95\u503c\u4e0d\u503c（\u9644PDF\u4e0b\u8f7d）<\/h2>\n

\u672c\u6587\u9996\u53d1\u4e8e\u516c\u4f17\u53f7\u300cGO FUNNY\u300d，\u4e13\u6ce8 AI \u524d\u6cbf\u89e3\u8bfb\u4e0e GitHub \u70ed\u95e8\u9879\u76ee\u5bfb\u5b9d\u3002<\/p>\n

\u524d\u8a00<\/h3>\n

AI Agent \u8fd9\u4e24\u5e74\u5f88\u706b，\u4f46\u5b66\u4e60\u8d44\u6e90\u6709\u4e2a\u5c34\u5c2c\u7684\u95ee\u9898：\u4e0d\u591f\u7cfb\u7edf\u3002<\/p>\n

\u4eca\u5929\u4e00\u7bc7 RAG \u6559\u7a0b，\u660e\u5929\u4e00\u7bc7 MCP \u534f\u8bae\u4ecb\u7ecd，\u540e\u5929\u4e00\u7bc7\u591a Agent \u534f\u4f5c\u79d1\u666e\u3002\u6bcf\u7bc7\u5355\u72ec\u770b\u90fd\u6709\u6536\u83b7，\u4f46\u5408\u5728\u4e00\u8d77\u5f88\u6563，\u4e0d\u77e5\u9053\u8fd9\u4e9b\u4e1c\u897f\u4e4b\u95f4\u7684\u903b\u8f91\u5173\u7cfb，\u4e0d\u77e5\u9053\u5148\u5b66\u4ec0\u4e48\u540e\u5b66\u4ec0\u4e48，\u66f4\u4e0d\u77e5\u9053\u5b83\u4eec\u600e\u4e48\u62fc\u6210\u4e00\u4e2a\u5b8c\u6574\u7684 Agent \u7cfb\u7edf\u3002<\/p>\n

\u5b98\u65b9\u6587\u6863\u5462？OpenAI \u5f3a\u8c03 function calling，Anthropic \u5f3a\u8c03 tool use，Google \u5f3a\u8c03 grounding\u3002\u8ddf\u7740\u4e00\u5bb6\u5b66\u5b8c，\u6362\u53e6\u4e00\u5bb6\u53c8\u5f97\u91cd\u65b0\u7406\u89e3\u3002<\/p>\n

\u5e02\u9762\u4e0a\u7f3a\u4e00\u79cd\u4e1c\u897f：\u80fd\u628a Agent \u4ece\u539f\u7406\u5230\u5de5\u7a0b\u843d\u5730\u8bb2\u6e05\u695a，\u4e0d\u7ed1\u5b9a\u67d0\u5bb6\u5382\u5546，\u8fd8\u9644\u5e26\u53ef\u8fd0\u884c\u4ee3\u7801\u7684\u7cfb\u7edf\u6027\u6559\u7a0b\u3002<\/p>\n

\u300a\u6df1\u5165\u7406\u89e3 AI Agent：\u8bbe\u8ba1\u539f\u7406\u4e0e\u5de5\u7a0b\u5b9e\u8df5\u300b\u5c31\u662f\u6765\u8865\u8fd9\u4e2a\u7f3a\u53e3\u7684\u3002<\/p>\n

\u9879\u76ee\u4fe1\u606f<\/h3>\n\n\u9879\u76ee\u8be6\u60c5<\/tr>\n\n\n\n\n\n\n\n\n
\u4e66\u540d<\/td>\n\u300a\u6df1\u5165\u7406\u89e3 AI Agent：\u8bbe\u8ba1\u539f\u7406\u4e0e\u5de5\u7a0b\u5b9e\u8df5\u300b<\/td>\n<\/tr>\n
\u4f5c\u8005<\/td>\n\u674e\u535a\u6770（Bojie Li），\u524d\u534e\u4e3a"\u5929\u624d\u5c11\u5e74"，\u73b0 Pine AI \u9996\u5e2d\u79d1\u5b66\u5bb6<\/td>\n<\/tr>\n
GitHub<\/td>\nhttps:\/\/github.com\/bojieli\/ai-agent-book<\/td>\n<\/tr>\n
\u534f\u8bae<\/td>\nApache License 2.0（\u5141\u8bb8\u81ea\u7531\u5206\u53d1）<\/td>\n<\/tr>\n
\u5185\u5bb9<\/td>\n10 \u7ae0\u6b63\u6587 + 88 \u4e2a\u914d\u5957\u5b9e\u9a8c（70+ \u53ef\u72ec\u7acb\u8fd0\u884c）<\/td>\n<\/tr>\n
\u7248\u672c<\/td>\nv1.2，\u4e2d\u6587 PDF \u7ea6 428 \u9875<\/td>\n<\/tr>\n
\u591a\u8bed\u8a00<\/td>\n\u4e2d\u6587（\u539f\u7248）\u3001\u82f1\u6587\u3001\u7e41\u4f53\u3001\u6cf0\u7c73\u5c14\u8bed\u3001\u8d8a\u5357\u8bed<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u6838\u5fc3\u516c\u5f0f\u4e0e Harness \u5de5\u7a0b<\/h3>\n

\u5168\u4e66\u56f4\u7ed5\u4e00\u4e2a\u516c\u5f0f\u5c55\u5f00：<\/p>\n

Agent = LLM + \u4e0a\u4e0b\u6587 + \u5de5\u5177<\/p>\n

\u5e76\u63d0\u51fa\u72ec\u521b\u7684 Harness \u5de5\u7a0b\u6982\u5ff5：\u6a21\u578b\u4e4b\u5916\u7684\u4e00\u5207\u5de5\u7a0b\u80fd\u529b（\u4e0a\u4e0b\u6587\u7ba1\u7406\u3001\u5de5\u5177\u8bbe\u8ba1\u3001\u8bb0\u5fc6\u7cfb\u7edf\u3001\u8bc4\u4f30），\u624d\u662f\u771f\u6b63\u7684\u7ade\u4e89\u529b\u6240\u5728\u3002<\/p>\n

\u8fd9\u4e2a\u89c6\u89d2\u5f88\u5173\u952e\u3002\u5f53\u884c\u4e1a\u90fd\u5728\u5377\u6a21\u578b\u53c2\u6570\u65f6，\u8fd9\u672c\u4e66\u628a\u76ee\u5149\u653e\u5728"\u6a21\u578b\u4e4b\u5916"\u2014\u2014\u4e0a\u4e0b\u6587\u600e\u4e48\u538b\u7f29\u3001\u5de5\u5177\u600e\u4e48\u8bbe\u8ba1\u3001\u8bb0\u5fc6\u600e\u4e48\u7ba1\u7406\u3001Agent \u600e\u4e48\u8bc4\u4f30\u3002\u8fd9\u4e9b\u624d\u662f\u751f\u4ea7\u73af\u5883\u91cc\u51b3\u5b9a Agent \u597d\u574f\u7684\u5730\u65b9\u3002<\/p>\n

10 \u7ae0\u7ed3\u6784\u901f\u89c8<\/h3>\n\n\u7ae0\u4e3b\u9898\u914d\u5957\u5b9e\u9a8c\u91cd\u70b9<\/tr>\n\n\n\n\n\n\n\n\n\n\n\n
1<\/td>\nAgent \u57fa\u7840<\/td>\n4<\/td>\nRL vs LLM，\u6a21\u578b\u5373 Agent<\/td>\n<\/tr>\n
2<\/td>\n\u4e0a\u4e0b\u6587\u5de5\u7a0b<\/td>\n9<\/td>\nKV Cache\u3001Agent Skills\u3001\u4e0a\u4e0b\u6587\u538b\u7f29<\/td>\n<\/tr>\n
3<\/td>\n\u8bb0\u5fc6\u4e0e\u77e5\u8bc6<\/td>\n13<\/td>\nRAG\u3001GraphRAG\u3001Agentic RAG<\/td>\n<\/tr>\n
4<\/td>\n\u5de5\u5177（MCP）<\/td>\n7<\/td>\n\u611f\u77e5\/\u6267\u884c\/\u534f\u4f5c\u4e09\u7c7b\u5de5\u5177，\u5f02\u6b65 Agent<\/td>\n<\/tr>\n
5<\/td>\nCoding Agent<\/td>\n12<\/td>\n\u751f\u4ea7\u7ea7 Coding Agent \u5168\u666f（\u65d7\u8230\u7ae0）<\/td>\n<\/tr>\n
6<\/td>\nAgent \u8bc4\u4f30<\/td>\n10<\/td>\n\u8bc4\u4f30\u73af\u5883\u3001\u6307\u6807\u3001\u7edf\u8ba1\u663e\u8457\u6027<\/td>\n<\/tr>\n
7<\/td>\n\u6a21\u578b\u540e\u8bad\u7ec3<\/td>\n14<\/td>\n\u9884\u8bad\u7ec3\/SFT\/RL \u4e09\u9636\u6bb5\u5bf9\u6bd4<\/td>\n<\/tr>\n
8<\/td>\nAgent \u81ea\u6211\u8fdb\u5316<\/td>\n6<\/td>\n\u4e0d\u6539\u6743\u91cd\u4e5f\u80fd\u6210\u957f<\/td>\n<\/tr>\n
9<\/td>\n\u591a\u6a21\u6001\u4e0e\u5b9e\u65f6\u4ea4\u4e92<\/td>\n7<\/td>\n\u8bed\u97f3\u4e09\u8303\u5f0f\u3001Computer Use\u3001\u673a\u5668\u4eba<\/td>\n<\/tr>\n
10<\/td>\n\u591a Agent \u534f\u4f5c<\/td>\n6<\/td>\n\u534f\u4f5c\u6846\u67b6\u3001Agent \u793e\u4f1a<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u6700\u503c\u5f97\u8dd1\u7684 3 \u4e2a\u5b9e\u9a8c（\u96f6\u95e8\u69db）<\/h3>\n

# 1. \u514b\u9686\u4ed3\u5e93<\/span>
\ngit<\/span> clone https:\/\/github.com\/bojieli\/ai-agent-book.git
\ncd<\/span> ai-agent-book<\/p>\n

# 2. \u8dd1\u7b2c\u4e00\u4e2a\u5b9e\u9a8c：\u6700\u7b80\u5355\u7684 Agent<\/span>
\ncd<\/span> chapter1
\npip install<\/span> -r<\/span> requirements.txt
\npython hello_agent.py<\/p>\n

# 3. \u4e0a\u4e0b\u6587\u538b\u7f29\u5b9e\u9a8c（\u7b2c2\u7ae0）<\/span>
\ncd<\/span> ..<\/span>\/chapter2
\npython kv-cache.py<\/p>\n

# 4. \u611f\u77e5\u5de5\u5177\u5b9e\u9a8c（\u7b2c4\u7ae0，\u7528\u514d\u8d39\u516c\u5171 API）<\/span>
\ncd<\/span> ..<\/span>\/chapter4
\npython perception-tools.py<\/p>\n

\u6ce8\u610f：\u5927\u90e8\u5206\u5b9e\u9a8c\u9700\u8981\u81f3\u5c11\u4e00\u4e2a LLM API Key（\u4e66\u91cc\u63a8\u8350 Kimi\u3001\u667a\u8c31 GLM\u3001Siliconflow\u3001\u706b\u5c71\u5f15\u64ce\u3001OpenRouter）\u3002\u90e8\u5206\u5b9e\u9a8c\u9700\u8981 GPU\u3001\u5916\u90e8\u6570\u636e\u96c6\u6216\u6d4f\u89c8\u5668\u73af\u5883，\u4e0d\u80fd\u5047\u8bbe\u5168\u90e8\u5b9e\u9a8c\u90fd\u80fd\u5728\u666e\u901a\u7b14\u8bb0\u672c\u4e0a\u76f4\u63a5\u8fd0\u884c\u3002<\/p>\n

\u6211\u7684\u771f\u5b9e\u4f53\u9a8c<\/h3>\n

\u4f18\u70b9：<\/p>\n

  • \u7cfb\u7edf\u6027\u5f3a\u3002\u4ece\u57fa\u7840\u8303\u5f0f\u4e00\u8def\u8bb2\u5230\u591a Agent \u534f\u4f5c，\u903b\u8f91\u7ebf\u6e05\u6670，\u4e0d\u7ed1\u5b9a\u4efb\u4f55\u5382\u5546\u3002<\/li>\n
  • \u4ee3\u7801\u53ef\u8dd1\u300288 \u4e2a\u5b9e\u9a8c 70+ \u80fd\u72ec\u7acb\u8fd0\u884c，\u4e0d\u662f"\u4f2a\u4ee3\u7801"\u3002<\/li>\n
  • \u6df1\u5ea6\u591f\u3002\u7b2c 7 \u7ae0\u540e\u8bad\u7ec3\u8bb2 SFT vs RL \u7684\u53d6\u820d，\u662f\u8bba\u6587\u7ea7\u522b\u7684\u5185\u5bb9\u3002<\/li>\n
  • \u514d\u8d39\u5f00\u6e90\u3002Apache 2.0，PDF\/EPUB \u76f4\u63a5\u4e0b，\u8fd8\u80fd\u53c2\u4e0e PR \u8d21\u732e\u3002<\/li>\n

    \u4e0d\u8db3：<\/p>\n

  • \u95e8\u69db\u4e0d\u4f4e\u3002428 \u9875\u4fe1\u606f\u5bc6\u5ea6\u9ad8，\u9700\u8981\u4e00\u5b9a\u7684\u5de5\u7a0b\u57fa\u7840，\u7eaf\u5c0f\u767d\u4f1a\u5403\u529b\u3002<\/li>\n
  • \u90e8\u5206\u5b9e\u9a8c\u4f9d\u8d56\u5916\u90e8\u8d44\u6e90\u3002API Key\u3001GPU\u3001\u6570\u636e\u96c6，\u8dd1\u901a\u5168\u5957\u6210\u672c\u4e0d\u4f4e\u3002<\/li>\n
  • \u4e2d\u6587\u539f\u7248\u66f4\u65b0\u6700\u5feb\u3002\u793e\u533a\u8bd1\u672c（\u82f1\/\u7e41\/\u6cf0\/\u8d8a）\u53ef\u80fd\u6ede\u540e\u3002<\/li>\n

    \u9002\u5408\u8c01<\/h3>\n
      \n
    • \u4f1a\u8c03\u5927\u6a21\u578b\u3001\u60f3\u4ece"\u8c03 API"\u5347\u7ea7\u5230"\u642d Agent \u7cfb\u7edf"\u7684\u5f00\u53d1\u8005<\/li>\n
    • \u505a Agent \u6280\u672f\u9009\u578b\u7684 PM（\u7b2c 6 \u7ae0\u8bc4\u4f30\u65b9\u6cd5\u8bba\u5f88\u5b9e\u7528）<\/li>\n
    • \u60f3\u5543\u540e\u8bad\u7ec3\/\u81ea\u6211\u8fdb\u5316\u7684\u7814\u7a76\u8005（\u7b2c 7-8 \u7ae0\u786c\u6838）<\/li>\n<\/ul>\n

      \u4e0b\u8f7d\u65b9\u5f0f<\/h3>\n
        \n
      • GitHub Release \u76f4\u63a5\u4e0b\u8f7d PDF\/EPUB：https:\/\/github.com\/bojieli\/ai-agent-book\/releases<\/li>\n
      • \u5728\u7ebf\u9605\u8bfb Markdown \u6e90\u6587：https:\/\/download.csdn.net\/download\/m0_72796578\/93189335<\/li>\n<\/ul>\n

        \u672c\u4e66\u4e3a Apache 2.0 \u5f00\u6e90\u4f5c\u54c1，\u7248\u6743\u5f52\u539f\u4f5c\u8005\u674e\u535a\u6770\u6240\u6709\u3002\u672c\u8d44\u6e90\u4ec5\u4f5c\u4fbf\u6377\u5206\u53d1，\u8bf7\u652f\u6301\u539f\u4f5c\u8005，\u53bb GitHub \u70b9\u4e2a Star\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

        \u300a\u6df1\u5165\u7406\u89e3 AI Agent\u300b\u5f00\u6e90\u4e66\u4f53\u9a8c\u8bc4\u6d4b：10\u7ae088\u5b9e\u9a8c，428\u9875\u514d\u8d39\u8bfb\u5b8c\u5230\u5e95\u503c\u4e0d\u503c（\u9644PDF\u4e0b\u8f7d）\u672c\u6587\u9996\u53d1\u4e8e\u516c\u4f17\u53f7\u300cGO FUNNY\u300d，\u4e13\u6ce8 AI \u524d\u6cbf\u89e3\u8bfb\u4e0e GitHub \u70ed\u95e8\u9879\u76ee\u5bfb\u5b9d\u3002\u524d\u8a00
        \nAI Agent \u8fd9\u4e24\u5e74\u5f88\u706b，\u4f46\u5b66\u4e60\u8d44\u6e90\u6709\u4e2a\u5c34\u5c2c\u7684\u95ee\u9898：\u4e0d\u591f\u7cfb\u7edf\u3002
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