{"id":34902,"date":"2025-08-04T10:48:47","date_gmt":"2025-08-04T02:48:47","guid":{"rendered":"https:\/\/www.kdjingpai.com\/?p=34902"},"modified":"2025-08-04T10:56:19","modified_gmt":"2025-08-04T02:56:19","slug":"langroid","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/ja\/langroid\/","title":{"rendered":"Langroid\uff1a\u4f7f\u7528\u591a\u667a\u80fd\u4f53\u7f16\u7a0b\u8f7b\u677e\u9a7e\u9a6d\u5927\u8bed\u8a00\u6a21\u578b"},"content":{"rendered":"<p>Langroid \u662f\u4e00\u4e2a\u4e3a\u7814\u7a76\u4eba\u5458\u548c\u5f00\u53d1\u4eba\u5458\u8bbe\u8ba1\u7684Python\u6846\u67b6\uff0c\u65e8\u5728\u7b80\u5316\u7531\u5927\u578b\u8bed\u8a00\u6a21\u578b\uff08LLM\uff09\u9a71\u52a8\u7684\u5e94\u7528\u7a0b\u5e8f\u7684\u6784\u5efa\u8fc7\u7a0b\u3002\u5b83\u7531\u6765\u81ea\u5361\u5185\u57fa\u6885\u9686\u5927\u5b66\u548c\u5a01\u65af\u5eb7\u661f\u5927\u5b66\u9ea6\u8fea\u900a\u5206\u6821\u7684\u7814\u7a76\u4eba\u5458\u5f00\u53d1\uff0c\u5176\u6838\u5fc3\u7406\u5ff5\u662f\u901a\u8fc7\u591a\u667a\u80fd\u4f53\u7f16\u7a0b\u6765\u9a7e\u9a6dLLM\u7684\u5f3a\u5927\u529f\u80fd\u3002\u5728\u8fd9\u4e2a\u6846\u67b6\u4e2d\uff0c\u5f00\u53d1\u8005\u53ef\u4ee5\u8bbe\u7f6e\u591a\u4e2a\u667a\u80fd\u4f53\uff08Agent\uff09\uff0c\u4e3a\u5b83\u4eec\u914d\u5907\u5927\u578b\u8bed\u8a00\u6a21\u578b\u3001\u5411\u91cf\u6570\u636e\u5e93\u548c\u5404\u79cd\u5de5\u5177\uff0c\u7136\u540e\u5206\u914d\u4efb\u52a1\uff0c\u8ba9\u8fd9\u4e9b\u667a\u80fd\u4f53\u901a\u8fc7\u4ea4\u6362\u6d88\u606f\u6765\u534f\u540c\u89e3\u51b3\u590d\u6742\u95ee\u9898\u3002Langroid \u7684\u8bbe\u8ba1\u6ce8\u91cd\u76f4\u89c2\u3001\u8f7b\u91cf\u5316\u548c\u53ef\u6269\u5c55\u6027\uff0c\u5b83\u4e0d\u4f9d\u8d56\u4e8e\u5176\u4ed6LLM\u6846\u67b6\uff08\u5982LangChain\uff09\uff0c\u5e76\u4e14\u53ef\u4ee5\u4e0e\u51e0\u4e4e\u6240\u6709\u7c7b\u578b\u7684\u5927\u578b\u8bed\u8a00\u6a21\u578b\u914d\u5408\u4f7f\u7528\uff0c\u4e3a\u5f00\u53d1\u8005\u63d0\u4f9b\u4e86\u4e00\u4e2a\u7075\u6d3b\u4e14\u5f3a\u5927\u7684\u5f00\u53d1\u73af\u5883\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"wp-image-34903 aligncenter\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/08\/1bad98406da31f2.png\" alt=\"\" width=\"638\" height=\"335\" srcset=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/08\/1bad98406da31f2.png 1200w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/08\/1bad98406da31f2-18x9.png 18w\" sizes=\"auto, (max-width: 638px) 100vw, 638px\" \/><\/p>\n<p>&nbsp;<\/p>\n<h2>\u529f\u80fd\u5217\u8868<\/h2>\n<ul>\n<li><strong>\u591a\u667a\u80fd\u4f53\u534f\u4f5c:<\/strong>\u00a0\u652f\u6301\u521b\u5efa\u591a\u4e2a\u667a\u80fd\u4f53\uff0c\u8ba9\u5b83\u4eec\u901a\u8fc7\u6d88\u606f\u4f20\u9012\u8fdb\u884c\u534f\u4f5c\uff0c\u5171\u540c\u5b8c\u6210\u590d\u6742\u4efb\u52a1\u3002<\/li>\n<li><strong>\u4efb\u52a1\u7f16\u6392:<\/strong>\u00a0\u901a\u8fc7<code>Task<\/code>\u7c7b\u6765\u5305\u88c5\u667a\u80fd\u4f53\uff0c\u4e3a\u5176\u8bbe\u5b9a\u660e\u786e\u7684\u6307\u4ee4\u548c\u76ee\u6807\uff0c\u5e76\u80fd\u4ee5\u5c42\u7ea7\u5316\u3001\u9012\u5f52\u7684\u65b9\u5f0f\u8fdb\u884c\u4efb\u52a1\u59d4\u6d3e\u3002<\/li>\n<li><strong>\u5e7f\u6cdb\u7684LLM\u652f\u6301:<\/strong>\u00a0\u9664\u4e86\u652f\u6301OpenAI\u7684\u7cfb\u5217\u6a21\u578b\u5916\uff0c\u8fd8\u901a\u8fc7\u4ee3\u7406\u5e93\u548c\u672c\u5730\u670d\u52a1\u5668\uff08\u5982ollama, LiteLLM\uff09\u652f\u6301\u6570\u767e\u79cd\u5176\u4ed6\u63d0\u4f9b\u5546\u7684LLM\uff0c\u5305\u62ec\u5f00\u6e90\u3001\u672c\u5730\u90e8\u7f72\u548c\u5546\u4e1a\u6a21\u578b\u3002<\/li>\n<li><strong>\u5de5\u5177\/\u51fd\u6570\u8c03\u7528:<\/strong>\u00a0\u652f\u6301OpenAI\u7684\u51fd\u6570\u8c03\u7528\u529f\u80fd\uff0c\u5e76\u63d0\u4f9b\u4e86\u81ea\u6709\u7684<code>ToolMessage<\/code>\u673a\u5236\uff0c\u8be5\u673a\u5236\u9002\u7528\u4e8e\u4efb\u4f55LLM\u3002\u5229\u7528Pydantic\u8fdb\u884c\u5b9a\u4e49\uff0c\u7b80\u5316\u4e86\u5f00\u53d1\u6d41\u7a0b\uff0c\u5e76\u80fd\u5904\u7406LLM\u751f\u6210\u7684\u683c\u5f0f\u9519\u8bef\u7684JSON\u3002<\/li>\n<li><strong>\u68c0\u7d22\u589e\u5f3a\u751f\u6210 (RAG):<\/strong>\u00a0\u5185\u7f6e<code>DocChatAgent<\/code>\uff0c\u53ef\u4ee5\u8f7b\u677e\u4e0e\u6587\u6863\u96c6\u5408\uff08\u5305\u62ec\u672c\u5730\u6587\u4ef6\u548cURL\uff09\u8fdb\u884c\u4ea4\u4e92\uff0c\u652f\u6301\u6587\u6863\u5206\u5757\u3001\u5d4c\u5165\u3001\u5411\u91cf\u5b58\u50a8\u548c\u68c0\u7d22\u3002<\/li>\n<li><strong>\u591a\u79cd\u5411\u91cf\u6570\u636e\u5e93\u652f\u6301:<\/strong>\u00a0\u652f\u6301Qdrant, Chroma, LanceDB, Pinecone, pgvector\u7b49\u591a\u79cd\u5411\u91cf\u6570\u636e\u5e93\uff0c\u4ee5\u5b9e\u73b0\u9ad8\u6548\u7684RAG\u3002<\/li>\n<li><strong>\u7f13\u5b58\u673a\u5236:<\/strong>\u00a0\u652f\u6301\u4f7f\u7528Redis\u6216Momento\u5bf9LLM\u7684API\u54cd\u5e94\u8fdb\u884c\u7f13\u5b58\uff0c\u4ee5\u51cf\u5c11\u91cd\u590d\u8c03\u7528\u7684\u6210\u672c\u548c\u65f6\u95f4\u3002<\/li>\n<li><strong>\u53ef\u89c2\u5bdf\u6027\u4e0e\u65e5\u5fd7:<\/strong>\u00a0\u751f\u6210\u8be6\u7ec6\u7684\u591a\u667a\u80fd\u4f53\u4ea4\u4e92\u65e5\u5fd7\uff0c\u5e76\u7ef4\u62a4\u6d88\u606f\u7684\u6765\u6e90\u548c\u6cbf\u88ad\uff0c\u65b9\u4fbf\u5f00\u53d1\u8005\u8ffd\u8e2a\u548c\u8c03\u8bd5\u3002<\/li>\n<\/ul>\n<h2>\u4f7f\u7528\u5e2e\u52a9<\/h2>\n<p>Langroid \u662f\u4e00\u4e2a\u5f3a\u5927\u7684Python\u6846\u67b6\uff0c\u5b83\u8ba9\u4f60\u80fd\u591f\u901a\u8fc7\u7ec4\u5408\u4e0d\u540c\u7684\u201c\u667a\u80fd\u4f53\u201d\u6765\u6784\u5efa\u590d\u6742\u7684\u5e94\u7528\u7a0b\u5e8f\u3002\u4e0b\u9762\uff0c\u6211\u4eec\u5c06\u8be6\u7ec6\u4ecb\u7ecd\u5982\u4f55\u5b89\u88c5\u548c\u4f7f\u7528Langroid\u6765\u5b8c\u6210\u4e00\u4e9b\u57fa\u672c\u548c\u9ad8\u7ea7\u7684\u64cd\u4f5c\u3002<\/p>\n<h3>\u5b89\u88c5Langroid<\/h3>\n<p>Langroid \u9700\u8981 Python 3.11 \u6216\u66f4\u9ad8\u7248\u672c\u3002\u5f3a\u70c8\u5efa\u8bae\u5728\u4e00\u4e2a\u865a\u62df\u73af\u5883\u4e2d\u8fdb\u884c\u5b89\u88c5\uff0c\u4ee5\u907f\u514d\u4e0e\u5176\u4ed6\u9879\u76ee\u7684\u4f9d\u8d56\u51b2\u7a81\u3002<\/p>\n<ol>\n<li><strong>\u57fa\u7840\u5b89\u88c5<\/strong><br \/>\n\u6700\u6838\u5fc3\u7684\u5b89\u88c5\u975e\u5e38\u7b80\u5355\uff0c\u53ea\u9700\u8981\u4e00\u4e2a\u547d\u4ee4\uff1a<\/p>\n<pre><code>pip install langroid\r\n<\/code><\/pre>\n<p>\u8fd9\u4e2a\u57fa\u7840\u7248\u672c\u5305\u542b\u4e86\u4f7f\u7528OpenAI\u6a21\u578b\u6240\u9700\u7684\u6838\u5fc3\u529f\u80fd\u3002<\/li>\n<li><strong>\u5b89\u88c5\u9644\u52a0\u529f\u80fd<\/strong><br \/>\nLangroid\u91c7\u7528\u6a21\u5757\u5316\u7684\u8bbe\u8ba1\uff0c\u8bb8\u591a\u9ad8\u7ea7\u529f\u80fd\u9700\u8981\u5b89\u88c5\u989d\u5916\u7684\u4f9d\u8d56\u3002\u4f60\u53ef\u4ee5\u6839\u636e\u9700\u8981\u9009\u62e9\u5b89\u88c5\uff1a<\/p>\n<ul>\n<li><strong>\u6587\u6863\u804a\u5929\u529f\u80fd (RAG):<\/strong>\u00a0\u5982\u679c\u4f60\u9700\u8981\u8ba9\u667a\u80fd\u4f53\u8bfb\u53d6\u548c\u7406\u89e3PDF\u3001Word\u6587\u6863\u7b49\uff0c\u9700\u8981\u5b89\u88c5<code>doc-chat<\/code>\u9644\u52a0\u5305\u3002\n<pre><code>pip install \"langroid[doc-chat]\"\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u6570\u636e\u5e93\u4ea4\u4e92\u529f\u80fd:<\/strong>\u00a0\u5982\u679c\u4f60\u60f3\u8ba9\u667a\u80fd\u4f53\u8fde\u63a5\u5e76\u67e5\u8be2\u6570\u636e\u5e93\uff0c\u9700\u8981\u5b89\u88c5<code>db<\/code>\u9644\u52a0\u5305\u3002\n<pre><code>pip install \"langroid[db]\"\r\n<\/code><\/pre>\n<\/li>\n<li>\u4f60\u4e5f\u53ef\u4ee5\u540c\u65f6\u5b89\u88c5\u591a\u4e2a\u9644\u52a0\u5305\uff1a\n<pre><code>pip install \"langroid[doc-chat,db]\"\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u5b89\u88c5\u6240\u6709\u529f\u80fd:<\/strong>\u00a0\u5982\u679c\u4f60\u60f3\u4e00\u6b21\u6027\u5b89\u88c5\u6240\u6709\u53ef\u9009\u4f9d\u8d56\uff0c\u53ef\u4ee5\u4f7f\u7528<code>all<\/code>\u6807\u7b7e\uff0c\u4f46\u8fd9\u4f1a\u663e\u8457\u589e\u52a0\u5b89\u88c5\u65f6\u95f4\u548c\u4f53\u79ef\u3002\n<pre><code>pip install \"langroid[all]\"\r\n<\/code><\/pre>\n<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<h3>\u73af\u5883\u914d\u7f6e<\/h3>\n<p>\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u4f60\u9700\u8981\u914d\u7f6e\u5fc5\u8981\u7684\u73af\u5883\u53d8\u91cf\uff0c\u4e3b\u8981\u662f\u4f60\u7684\u5927\u8bed\u8a00\u6a21\u578bAPI\u5bc6\u94a5\u3002<\/p>\n<ol>\n<li><strong>\u521b\u5efa<code>.env<\/code>\u6587\u4ef6<\/strong><br \/>\n\u5728\u4f60\u7684\u9879\u76ee\u6839\u76ee\u5f55\u4e0b\uff0c\u590d\u5236\u4ed3\u5e93\u4e2d\u7684<code>.env-template<\/code>\u6587\u4ef6\u5e76\u91cd\u547d\u540d\u4e3a<code>.env<\/code>\u3002<\/p>\n<pre><code>cp .env-template .env\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u914d\u7f6eAPI\u5bc6\u94a5<\/strong><br \/>\n\u6253\u5f00<code>.env<\/code>\u6587\u4ef6\uff0c\u586b\u5165\u4f60\u7684OpenAI API\u5bc6\u94a5\u3002\u8fd9\u662f\u542f\u52a8\u548c\u8fd0\u884cLangroid\u6700\u57fa\u672c\u7684\u8981\u6c42\u3002<\/p>\n<pre><code>OPENAI_API_KEY=your-key-here-without-quotes\r\n<\/code><\/pre>\n<\/li>\n<\/ol>\n<h3>\u6838\u5fc3\u6982\u5ff5\u548c\u64cd\u4f5c<\/h3>\n<p>Langroid\u7684\u6838\u5fc3\u662f<code>Agent<\/code>\uff08\u667a\u80fd\u4f53\uff09\u548c<code>Task<\/code>\uff08\u4efb\u52a1\uff09\u3002\u667a\u80fd\u4f53\u662f\u6267\u884c\u8005\uff0c\u800c\u4efb\u52a1\u662f\u6307\u5bfc\u667a\u80fd\u4f53\u5982\u4f55\u884c\u52a8\u7684\u8bf4\u660e\u4e66\u3002<\/p>\n<p><strong>1. \u76f4\u63a5\u4e0eLLM\u4ea4\u4e92<\/strong><\/p>\n<p>\u4f60\u53ef\u4ee5\u8df3\u8fc7\u667a\u80fd\u4f53\uff0c\u76f4\u63a5\u4e0e\u4e00\u4e2a\u914d\u7f6e\u597d\u7684LLM\u8fdb\u884c\u5bf9\u8bdd\u3002\u8fd9\u5bf9\u4e8e\u5feb\u901f\u6d4b\u8bd5\u6a21\u578b\u53cd\u5e94\u5f88\u6709\u7528\u3002<\/p>\n<pre><code>import langroid.language_models as lm\r\n# \u914d\u7f6e\u8981\u4f7f\u7528\u7684\u6a21\u578b\uff0c\u4f8b\u5982GPT-4o\r\n# \u6216\u8005\u4f7f\u7528\u672c\u5730\u6a21\u578b \"ollama\/mistral\"\r\nllm_config = lm.OpenAIGPTConfig(\r\nchat_model=lm.OpenAIChatModel.GPT4o,\r\n)\r\nmodel = lm.OpenAIGPT(llm_config)\r\n# \u76f4\u63a5\u53d1\u9001\u95ee\u9898\u5e76\u83b7\u53d6\u56de\u7b54\r\nresponse = model.chat(\"\u4e2d\u56fd\u7684\u9996\u90fd\u662f\u54ea\u91cc\uff1f\", max_tokens=20)\r\nprint(response.message)\r\n<\/code><\/pre>\n<p><strong>2. \u4f7f\u7528\u667a\u80fd\u4f53\u8fdb\u884c\u5bf9\u8bdd<\/strong><\/p>\n<p>\u667a\u80fd\u4f53\uff08<code>ChatAgent<\/code>\uff09\u80fd\u591f\u7ef4\u62a4\u5bf9\u8bdd\u5386\u53f2\uff0c\u5b9e\u73b0\u6709\u4e0a\u4e0b\u6587\u7684\u4ea4\u6d41\u3002<\/p>\n<pre><code>import langroid as lr\r\n# \u521b\u5efa\u4e00\u4e2a\u9ed8\u8ba4\u914d\u7f6e\u7684\u804a\u5929\u667a\u80fd\u4f53\r\nagent = lr.ChatAgent()\r\n# \u667a\u80fd\u4f53\u80fd\u591f\u8bb0\u4f4f\u4e4b\u524d\u7684\u5bf9\u8bdd\r\nagent.llm_response(\"\u4e2d\u56fd\u7684\u9996\u90fd\u662f\u54ea\u91cc\uff1f\")\r\nresponse = agent.llm_response(\"\u90a3\u5370\u5ea6\u7684\u5462\uff1f\") # \u667a\u80fd\u4f53\u4f1a\u7406\u89e3\u201c\u90a3\u201d\u6307\u4ee3\u7684\u662f\u9996\u90fd\r\nprint(response.content)\r\n<\/code><\/pre>\n<p><strong>3. \u901a\u8fc7\u4efb\u52a1\u6765\u7ba1\u7406\u667a\u80fd\u4f53<\/strong><\/p>\n<p><code>Task<\/code>\uff08\u4efb\u52a1\uff09\u4e3a\u667a\u80fd\u4f53\u63d0\u4f9b\u4e86\u4e00\u4e2a\u8fd0\u884c\u6846\u67b6\uff0c\u53ef\u4ee5\u5b9a\u4e49\u5176\u89d2\u8272\u3001\u76ee\u6807\uff0c\u5e76\u7ba1\u7406\u4e0e\u7528\u6237\u7684\u4ea4\u4e92\u5faa\u73af\u3002<\/p>\n<pre><code>import langroid as lr\r\n# 1. \u521b\u5efa\u4e00\u4e2a\u667a\u80fd\u4f53\r\nagent = lr.ChatAgent()\r\n# 2. \u4e3a\u667a\u80fd\u4f53\u521b\u5efa\u4e00\u4e2a\u4efb\u52a1\uff0c\u5e76\u8d4b\u4e88\u7cfb\u7edf\u6d88\u606f\uff08\u89d2\u8272\u8bbe\u5b9a\uff09\r\ntask = lr.Task(\r\nagent,\r\nname=\"Bot\",\r\nsystem_message=\"\u4f60\u662f\u4e00\u4e2a\u4e50\u4e8e\u52a9\u4eba\u7684\u52a9\u624b\u3002\"\r\n)\r\n# 3. \u8fd0\u884c\u4efb\u52a1\uff0c\u8fd9\u5c06\u542f\u52a8\u4e00\u4e2a\u4e0e\u7528\u6237\u7684\u4ea4\u4e92\u5faa\u73af\r\ntask.run(\"\u4f60\u597d\") # \u4ee5\u7528\u6237\u7684 \"\u4f60\u597d\" \u5f00\u59cb\u5bf9\u8bdd\r\n<\/code><\/pre>\n<p><strong>4. \u591a\u667a\u80fd\u4f53\u534f\u540c\u5de5\u4f5c<\/strong><\/p>\n<p>\u8fd9\u662fLangroid\u6700\u5f3a\u5927\u7684\u529f\u80fd\u4e4b\u4e00\u3002\u4f60\u53ef\u4ee5\u521b\u5efa\u591a\u4e2a\u667a\u80fd\u4f53\uff0c\u5e76\u5c06\u5b83\u4eec\u7ec4\u7ec7\u8d77\u6765\u89e3\u51b3\u4e00\u4e2a\u66f4\u590d\u6742\u7684\u95ee\u9898\u3002<\/p>\n<p>\u4f8b\u5982\uff0c\u6211\u4eec\u521b\u5efa\u4e00\u4e2a\u201c\u8001\u5e08\u201d\u667a\u80fd\u4f53\u548c\u4e00\u4e2a\u201c\u5b66\u751f\u201d\u667a\u80fd\u4f53\uff0c\u8ba9\u5b83\u4eec\u8fdb\u884c\u95ee\u7b54\u3002<\/p>\n<pre><code>import langroid as lr\r\n# \u901a\u7528\u7684\u5927\u6a21\u578b\u914d\u7f6e\r\nllm_config = lr.ChatAgentConfig(\r\nllm=lr.language_models.OpenAIGPTConfig(\r\nchat_model=lr.language_models.OpenAIChatModel.GPT4o,\r\n),\r\n)\r\n# \u521b\u5efa\u8001\u5e08\u667a\u80fd\u4f53\u548c\u4efb\u52a1\r\nteacher_agent = lr.ChatAgent(llm_config)\r\nteacher_task = lr.Task(\r\nteacher_agent,\r\nname=\"Teacher\",\r\nsystem_message=\"\"\"\r\n\u5411\u4f60\u7684\u5b66\u751f\u63d0\u51fa\u7b80\u660e\u7684\u6570\u5b66\u95ee\u9898\uff0c\u5e76\u7ed9\u4e88\u53cd\u9988\u3002\r\n\u8bf7\u4ece\u4e00\u4e2a\u95ee\u9898\u5f00\u59cb\u3002\r\n\"\"\"\r\n)\r\n# \u521b\u5efa\u5b66\u751f\u667a\u80fd\u4f53\u548c\u4efb\u52a1\r\nstudent_agent = lr.ChatAgent(llm_config)\r\nstudent_task = lr.Task(\r\nstudent_agent,\r\nname=\"Student\",\r\nsystem_message=\"\u7b80\u660e\u5730\u56de\u7b54\u8001\u5e08\u7684\u95ee\u9898\u3002\",\r\nsingle_round=True, # \u5b66\u751f\u56de\u7b54\u4e00\u8f6e\u540e\u5c31\u7b49\u5f85\r\n)\r\n# \u5c06\u5b66\u751f\u4efb\u52a1\u8bbe\u7f6e\u4e3a\u8001\u5e08\u4efb\u52a1\u7684\u5b50\u4efb\u52a1\r\nteacher_task.add_sub_task(student_task)\r\n# \u8fd0\u884c\u4e3b\u4efb\u52a1\uff0c\u6574\u4e2a\u5bf9\u8bdd\u5c06\u81ea\u52a8\u8fdb\u884c\r\nteacher_task.run()\r\n<\/code><\/pre>\n<p>\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c<code>teacher_task<\/code>\u4f1a\u9996\u5148\u53d1\u8a00\uff08\u63d0\u51fa\u95ee\u9898\uff09\uff0c\u7136\u540e\u5c06\u63a7\u5236\u6743\u4ea4\u7ed9<code>student_task<\/code>\uff0c\u5b66\u751f\u56de\u7b54\u540e\uff0c\u63a7\u5236\u6743\u518d\u4ea4\u8fd8\u7ed9\u8001\u5e08\uff0c\u5982\u6b64\u5faa\u73af\u3002<\/p>\n<p><strong>5. \u4e0e\u6587\u6863\u8fdb\u884c\u804a\u5929 (RAG)<\/strong><\/p>\n<p>\u4f7f\u7528<code>DocChatAgent<\/code>\uff0c\u4f60\u53ef\u4ee5\u8f7b\u677e\u5730\u5411\u4e00\u5806\u6587\u6863\u63d0\u95ee\u3002<\/p>\n<pre><code>import langroid as lr\r\nfrom langroid.agent.special import DocChatAgent, DocChatAgentConfig\r\n# \u914d\u7f6e\u6587\u6863\u8def\u5f84\uff0c\u53ef\u4ee5\u662f\u7f51\u5740\u6216\u672c\u5730\u6587\u4ef6\r\nconfig = DocChatAgentConfig(\r\ndoc_paths=[\r\n\"https:\/\/arxiv.org\/pdf\/2308.08155.pdf\", # \u4e00\u7bc7\u5173\u4e8e\u8bed\u8a00\u6a21\u578b\u7684\u8bba\u6587\r\n\"\/path\/to\/your\/notes.txt\",\r\n],\r\n)\r\n# \u521b\u5efaDocChatAgent\uff0c\u5b83\u4f1a\u81ea\u52a8\u5904\u7406\u6587\u6863\u7684\u52a0\u8f7d\u3001\u5207\u5206\u548c\u7d22\u5f15\r\nagent = DocChatAgent(config)\r\n# \u5c06\u667a\u80fd\u4f53\u5305\u88c5\u5728\u4efb\u52a1\u4e2d\uff0c\u5e76\u5f00\u59cb\u4ea4\u4e92\u5f0f\u804a\u5929\r\ntask = lr.Task(agent, name=\"DocAssistant\")\r\ntask.run(\"\u8bf7\u603b\u7ed3\u4e00\u4e0b\u8fd9\u7bc7\u8bba\u6587\u7684\u6838\u5fc3\u601d\u60f3\u3002\")\r\n<\/code><\/pre>\n<p>\u8fd9\u4e2a\u8fc7\u7a0b\u80cc\u540e\uff0cLangroid\u81ea\u52a8\u5b8c\u6210\u4e86\u6587\u6863\u4e0b\u8f7d\u3001\u6587\u672c\u63d0\u53d6\u3001\u5206\u5272\u6210\u5757\u3001\u751f\u6210\u5411\u91cf\u5d4c\u5165\uff0c\u5e76\u5b58\u5165\u5411\u91cf\u6570\u636e\u5e93\u7684\u5168\u90e8\u6d41\u7a0b\u3002\u5f53\u4f60\u63d0\u95ee\u65f6\uff0c\u5b83\u4f1a\u5148\u4ece\u6570\u636e\u5e93\u4e2d\u68c0\u7d22\u6700\u76f8\u5173\u7684\u6587\u6863\u7247\u6bb5\uff0c\u7136\u540e\u8fde\u540c\u4f60\u7684\u95ee\u9898\u4e00\u8d77\u4ea4\u7ed9LLM\uff0c\u4ece\u800c\u751f\u6210\u6709\u7406\u6709\u636e\u7684\u56de\u7b54\u3002<\/p>\n<h2>\u5e94\u7528\u573a\u666f<\/h2>\n<ol>\n<li><strong>\u6784\u5efa\u81ea\u52a8\u5316\u7814\u7a76\u52a9\u624b<\/strong><br \/>\n\u53ef\u4ee5\u521b\u5efa\u4e00\u4e2a\u667a\u80fd\u4f53\u8d1f\u8d23\u4f7f\u7528\u641c\u7d22\u5f15\u64ce\u67e5\u627e\u8d44\u6599\uff0c\u53e6\u4e00\u4e2a\u667a\u80fd\u4f53\u8d1f\u8d23\u4ece\u4e0b\u8f7d\u7684\u6587\u6863\u4e2d\u63d0\u53d6\u5173\u952e\u4fe1\u606f\uff0c\u7b2c\u4e09\u4e2a\u667a\u80fd\u4f53\u8d1f\u8d23\u5c06\u8fd9\u4e9b\u4fe1\u606f\u6574\u5408\u6210\u62a5\u544a\u3002<\/li>\n<li><strong>\u5f00\u53d1\u4ea4\u4e92\u5f0f\u6570\u636e\u5206\u6790\u5de5\u5177<\/strong><br \/>\n\u5229\u7528<code>TableChatAgent<\/code>\uff0c\u7528\u6237\u53ef\u4ee5\u901a\u8fc7\u81ea\u7136\u8bed\u8a00\u67e5\u8be2CSV\u6587\u4ef6\u6216\u6570\u636e\u5e93\u4e2d\u7684\u6570\u636e\u3002\u4f8b\u5982\uff0c\u53ef\u4ee5\u95ee\u201c\u4e0a\u4e2a\u5b63\u5ea6\u9500\u552e\u989d\u6700\u9ad8\u7684\u4ea7\u54c1\u662f\u4ec0\u4e48\uff1f\u201d\uff0c\u667a\u80fd\u4f53\u4f1a\u81ea\u52a8\u751f\u6210\u5e76\u6267\u884c\u76f8\u5e94\u7684\u67e5\u8be2\u4ee3\u7801\u3002<\/li>\n<li><strong>\u521b\u5efa\u7279\u5b9a\u9886\u57df\u7684\u95ee\u7b54\u7cfb\u7edf<\/strong><br \/>\n\u901a\u8fc7<code>DocChatAgent<\/code>\u52a0\u8f7d\u4e13\u4e1a\u9886\u57df\u7684\u6587\u6863\uff08\u5982\u6cd5\u5f8b\u6761\u6587\u3001\u533b\u5b66\u624b\u518c\u3001\u6280\u672f\u6587\u6863\uff09\uff0c\u5feb\u901f\u642d\u5efa\u4e00\u4e2a\u80fd\u591f\u7cbe\u51c6\u56de\u7b54\u4e13\u4e1a\u95ee\u9898\u7684\u667a\u80fd\u95ee\u7b54\u673a\u5668\u4eba\u3002<\/li>\n<li><strong>\u6a21\u62df\u590d\u6742\u7cfb\u7edf\u548c\u6d41\u7a0b<\/strong><br \/>\n\u5728\u5546\u4e1a\u6216\u793e\u4f1a\u79d1\u5b66\u7814\u7a76\u4e2d\uff0c\u53ef\u4ee5\u8bbe\u7f6e\u4ee3\u8868\u4e0d\u540c\u89d2\u8272\uff08\u5982\u6d88\u8d39\u8005\u3001\u4f9b\u5e94\u5546\u3001\u76d1\u7ba1\u8005\uff09\u7684\u667a\u80fd\u4f53\uff0c\u901a\u8fc7\u5b83\u4eec\u7684\u4e92\u52a8\u6765\u6a21\u62df\u5e02\u573a\u52a8\u6001\u6216\u793e\u4f1a\u73b0\u8c61\u3002<\/li>\n<li><strong>\u4ee3\u7801\u751f\u6210\u4e0e\u89e3\u91ca<\/strong><br \/>\n\u53ef\u4ee5\u8bbe\u8ba1\u4e00\u4e2a\u667a\u80fd\u4f53\u4e13\u95e8\u8d1f\u8d23\u6839\u636e\u9700\u6c42\u751f\u6210\u4ee3\u7801\uff0c\u53e6\u4e00\u4e2a\u667a\u80fd\u4f53\u5219\u8d1f\u8d23\u89e3\u91ca\u4ee3\u7801\u7684\u903b\u8f91\u548c\u7528\u6cd5\uff0c\u6216\u8005\u5728\u4ee3\u7801\u51fa\u9519\u65f6\u8fdb\u884c\u8c03\u8bd5\u3002<\/li>\n<\/ol>\n<h2>QA<\/h2>\n<ol>\n<li><strong>Langroid\u548cLangChain\u6709\u4ec0\u4e48\u533a\u522b\uff1f<\/strong><br \/>\nLangroid\u662f\u4e00\u4e2a\u72ec\u7acb\u7684\u6846\u67b6\uff0c\u4e0d\u4f7f\u7528LangChain\u3002\u5b83\u7684\u8bbe\u8ba1\u54f2\u5b66\u66f4\u4fa7\u91cd\u4e8e\u901a\u8fc7\u591a\u667a\u80fd\u4f53\u534f\u4f5c\u6765\u6784\u5efa\u5e94\u7528\uff0c\u5176\u6838\u5fc3\u62bd\u8c61\u662f<code>Agent<\/code>\u548c<code>Task<\/code>\u3002\u76f8\u6bd4\u4e4b\u4e0b\uff0cLangChain\u66f4\u4fa7\u91cd\u4e8e\u201c\u94fe\u201d\u5f0f\u7ed3\u6784\uff0c\u5c06\u4e0d\u540c\u7684\u7ec4\u4ef6\uff08\u6a21\u578b\u3001\u63d0\u793a\u3001\u5de5\u5177\uff09\u4e32\u8054\u8d77\u6765\u3002Langroid\u8ba4\u4e3a\u591a\u667a\u80fd\u4f53\u67b6\u6784\u5728\u5904\u7406\u590d\u6742\u4efb\u52a1\u65f6\u66f4\u5177\u7075\u6d3b\u6027\u548c\u53ef\u6269\u5c55\u6027\u3002<\/li>\n<li><strong>\u6211\u53ef\u4ee5\u4f7f\u7528\u672c\u5730\u90e8\u7f72\u7684\u5f00\u6e90\u5927\u6a21\u578b\u5417\uff1f<\/strong><br \/>\n\u53ef\u4ee5\u3002Langroid\u901a\u8fc7\u4e0eOllama\u3001LiteLLM\u7b49\u5de5\u5177\u96c6\u6210\uff0c\u53ef\u4ee5\u8f7b\u677e\u8fde\u63a5\u5230\u5728\u672c\u5730\u8fd0\u884c\u7684\u5f00\u6e90\u6a21\u578b\uff0c\u5982Llama\u3001Mistral\u7b49\u3002\u4f60\u53ea\u9700\u8981\u5728\u914d\u7f6e\u4e2d\u5c06<code>chat_model<\/code>\u6307\u5411\u4f60\u7684\u672c\u5730\u6a21\u578b\u670d\u52a1\u5730\u5740\u5373\u53ef\uff0c\u4f8b\u5982<code>\"ollama\/mistral\"<\/code>\u3002<\/li>\n<li><strong>\u4ec0\u4e48\u662f\u5de5\u5177\uff08Tool\uff09\uff1f\u5b83\u5982\u4f55\u5de5\u4f5c\uff1f<\/strong><br \/>\n\u5de5\u5177\u662f\u8ba9\u667a\u80fd\u4f53\u80fd\u591f\u6267\u884c\u4ee3\u7801\u3001\u8c03\u7528API\u7b49\u8d85\u8d8a\u8bed\u8a00\u6a21\u578b\u672c\u8eab\u80fd\u529b\u7684\u529f\u80fd\u3002\u5728Langroid\u4e2d\uff0c\u4f60\u53ef\u4ee5\u901a\u8fc7\u5b9a\u4e49\u4e00\u4e2a\u7ee7\u627f\u81ea<code>ToolMessage<\/code>\u7684Pydantic\u6a21\u578b\u6765\u521b\u5efa\u4e00\u4e2a\u5de5\u5177\u3002\u5f53\u667a\u80fd\u4f53\uff08\u7684LLM\uff09\u8ba4\u4e3a\u9700\u8981\u4f7f\u7528\u67d0\u4e2a\u5de5\u5177\u65f6\uff0c\u5b83\u4f1a\u751f\u6210\u4e00\u4e2a\u7279\u5b9a\u683c\u5f0f\u7684\u201c\u6d88\u606f\u201d\uff0c\u6846\u67b6\u6355\u6349\u5230\u8fd9\u4e2a\u6d88\u606f\u540e\uff0c\u4f1a\u8c03\u7528\u4f60\u9884\u5148\u5b9a\u4e49\u597d\u7684Python\u51fd\u6570\u6765\u6267\u884c\u5b9e\u9645\u64cd\u4f5c\uff0c\u7136\u540e\u5c06\u7ed3\u679c\u8fd4\u56de\u7ed9\u667a\u80fd\u4f53\u3002\u8fd9\u4e2a\u8fc7\u7a0b\u5bf9\u5f00\u53d1\u8005\u6765\u8bf4\u975e\u5e38\u76f4\u89c2\u3002<\/li>\n<li><strong>\u667a\u80fd\u4f53\u4e4b\u95f4\u5982\u4f55\u51b3\u5b9a\u8c01\u6765\u53d1\u8a00\uff1f<\/strong><br \/>\n\u8fd9\u7531<code>Task<\/code>\u7684\u7f16\u6392\u903b\u8f91\u51b3\u5b9a\u3002\u5728\u5c42\u7ea7\u7ed3\u6784\u4e2d\uff0c\u7236\u4efb\u52a1\u8d1f\u8d23\u534f\u8c03\u5176\u5b50\u4efb\u52a1\u7684\u6267\u884c\u987a\u5e8f\u3002\u9ed8\u8ba4\u60c5\u51b5\u4e0b\uff0c\u4efb\u52a1\u4f1a\u6309\u987a\u5e8f\u8f6e\u6d41\u6267\u884c\uff08\u5305\u62ec\u4e0e\u7528\u6237\u7684\u4ea4\u4e92\uff09\u3002\u5f00\u53d1\u8005\u4e5f\u53ef\u4ee5\u901a\u8fc7\u8bbe\u7f6e<code>single_round<\/code>\u3001<code>done_if<\/code>\u7b49\u53c2\u6570\u6765\u7cbe\u786e\u63a7\u5236\u4efb\u52a1\u7684\u6267\u884c\u6d41\u7a0b\u548c\u7ec8\u6b62\u6761\u4ef6\u3002<\/li>\n<li><strong>Langroid\u662f\u5426\u652f\u6301\u6d41\u5f0f\u8f93\u51fa\uff1f<\/strong><br \/>\n\u652f\u6301\u3002Langroid\u4e2d\u7684\u8bb8\u591a\u65b9\u6cd5\u90fd\u6709\u5f02\u6b65\uff08async\uff09\u7248\u672c\uff0c\u5e76\u4e14\u652f\u6301\u6d41\u5f0f\u54cd\u5e94\uff0c\u8fd9\u610f\u5473\u7740\u4f60\u53ef\u4ee5\u50cf\u5728ChatGPT\u754c\u9762\u4e2d\u90a3\u6837\uff0c\u770b\u5230\u6a21\u578b\u7684\u56de\u7b54\u4e00\u4e2a\u5b57\u4e00\u4e2a\u5b57\u5730\u663e\u793a\u51fa\u6765\uff0c\u800c\u4e0d\u662f\u7b49\u5f85\u5b83\u751f\u6210\u5b8c\u6574\u7684\u56de\u7b54\uff0c\u8fd9\u5bf9\u4e8e\u63d0\u5347\u7528\u6237\u4f53\u9a8c\u975e\u5e38\u91cd\u8981\u3002<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>Langroid 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