{"id":29570,"date":"2025-03-29T16:21:53","date_gmt":"2025-03-29T08:21:53","guid":{"rendered":"https:\/\/www.aisharenet.com\/?p=29570"},"modified":"2025-03-29T16:21:53","modified_gmt":"2025-03-29T08:21:53","slug":"langgraph-codeact","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/de\/langgraph-codeact\/","title":{"rendered":"LangGraph CodeAct\uff1a\u751f\u6210\u4ee3\u7801\u5e2e\u52a9\u667a\u80fd\u4f53\u89e3\u51b3\u590d\u6742\u4efb\u52a1"},"content":{"rendered":"<p><a href=\"https:\/\/www.kdjingpai.com\/langgraph\/\">LangGraph<\/a> CodeAct \u662f LangChain AI \u56e2\u961f\u5728 GitHub \u4e0a\u5f00\u6e90\u7684\u4e00\u4e2a\u6846\u67b6\uff0c\u57fa\u4e8e CodeAct \u67b6\u6784\uff08\u8be6\u89c1\u8bba\u6587 arXiv:2402.01030\uff09\u3002\u5b83\u901a\u8fc7\u751f\u6210\u5e76\u6267\u884c Python \u4ee3\u7801\uff0c\u5e2e\u52a9\u667a\u80fd\u4f53\u9ad8\u6548\u5904\u7406\u590d\u6742\u4efb\u52a1\u3002\u8fd9\u4e2a\u5de5\u5177\u88ab <a href=\"https:\/\/www.kdjingpai.com\/manus\/\">Manus<\/a>.im \u91c7\u7528\uff0c\u76f8\u8f83\u4e8e\u4f20\u7edf\u7684 JSON <a href=\"https:\/\/www.kdjingpai.com\/damoxingjiegouhuaai\/\">\u51fd\u6570\u8c03\u7528<\/a>\uff0c\u5b83\u5229\u7528 Python \u7684\u5b8c\u6574\u7f16\u7a0b\u80fd\u529b\uff0c\u6574\u5408\u591a\u4e2a\u5de5\u5177\u7684\u8f93\u51fa\uff0c\u51cf\u5c11\u64cd\u4f5c\u6b65\u9aa4\u3002\u5b83\u652f\u6301\u6d88\u606f\u5386\u53f2\u548c\u53d8\u91cf\u4fdd\u5b58\uff0c\u9002\u5408\u8fde\u7eed\u5bf9\u8bdd\u6216\u9ad8\u7ea7\u4efb\u52a1\u573a\u666f\u3002\u622a\u81f3 2025 \u5e74 3 \u6708 29 \u65e5\uff0c\u9879\u76ee\u4ecd\u5728\u79ef\u6781\u7ef4\u62a4\uff0c\u9762\u5411 AI \u5f00\u53d1\u8005\u5f00\u653e\u3002<\/p>\n<p>&nbsp;<\/p>\n<h2>\u529f\u80fd\u5217\u8868<\/h2>\n<ul>\n<li>\u667a\u80fd\u4f53\u80fd\u751f\u6210\u5e76\u6267\u884c Python \u4ee3\u7801\uff0c\u76f4\u63a5\u5b8c\u6210\u4efb\u52a1\u3002<\/li>\n<li>\u4fdd\u5b58\u5bf9\u8bdd\u5386\u53f2\uff0c\u652f\u6301\u8fde\u7eed\u63d0\u95ee\u3002<\/li>\n<li>\u4fdd\u7559 Python \u53d8\u91cf\uff0c\u4fbf\u4e8e\u540e\u7eed\u4efb\u52a1\u5f15\u7528\u3002<\/li>\n<li>\u652f\u6301\u00a0<code>.invoke()<\/code>\u00a0\u83b7\u53d6\u6700\u7ec8\u7ed3\u679c\uff0c\u6216\u00a0<code>.stream()<\/code>\u00a0\u83b7\u53d6\u9010\u6b65\u8f93\u51fa\u3002<\/li>\n<li>\u517c\u5bb9\u81ea\u5b9a\u4e49\u5de5\u5177\u3001LangChain \u5de5\u5177\u548c <a href=\"https:\/\/www.kdjingpai.com\/model-context-protocol\/\">MCP<\/a> \u5de5\u5177\u3002<\/li>\n<li>\u53ef\u642d\u914d\u4efb\u610f LangChain \u652f\u6301\u7684\u6a21\u578b\uff08\u5b98\u65b9\u6d4b\u8bd5\u4ec5\u9650 <a href=\"https:\/\/www.kdjingpai.com\/claudeanquanfubai\/\">Claude<\/a> 3.7\uff09\u3002<\/li>\n<li>\u63d0\u4f9b\u81ea\u5b9a\u4e49\u4ee3\u7801\u6c99\u76d2\u63a5\u53e3\uff0c\u7075\u6d3b\u6027\u5f3a\u3002<\/li>\n<li>\u7cfb\u7edf\u63d0\u793a\u8bcd\u53ef\u81ea\u7531\u8c03\u6574\u3002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u4f7f\u7528\u5e2e\u52a9<\/h2>\n<p>LangGraph CodeAct \u662f\u4e00\u4e2a\u9762\u5411\u5f00\u53d1\u8005\u7684\u5f00\u6e90\u6846\u67b6\uff0c\u4e3b\u8981\u901a\u8fc7 Python \u73af\u5883\u8fd0\u884c\u3002\u4ee5\u4e0b\u662f\u8be6\u7ec6\u5b89\u88c5\u4e0e\u4f7f\u7528\u6307\u5357\uff0c\u5e2e\u52a9\u4f60\u5feb\u901f\u4e0a\u624b\u3002<\/p>\n<h3>\u5b89\u88c5\u6d41\u7a0b<\/h3>\n<p>\u4f7f\u7528\u524d\u9700\u51c6\u5907 Python 3.8 \u6216\u66f4\u9ad8\u7248\u672c\u7684\u73af\u5883\u3002\u5b89\u88c5\u6b65\u9aa4\u5982\u4e0b\uff1a<\/p>\n<ol>\n<li><strong>\u4e0b\u8f7d\u9879\u76ee<\/strong><br \/>\n\u6253\u5f00\u7ec8\u7aef\uff0c\u8f93\u5165\u547d\u4ee4\u514b\u9686\u4ed3\u5e93\uff1a<\/li>\n<\/ol>\n<pre><code>git clone https:\/\/github.com\/langchain-ai\/langgraph-codeact.git\r\n<\/code><\/pre>\n<p>\u7136\u540e\u8fdb\u5165\u9879\u76ee\u76ee\u5f55\uff1a<\/p>\n<pre><code>cd langgraph-codeact\r\n<\/code><\/pre>\n<ol start=\"2\">\n<li><strong>\u5b89\u88c5\u6838\u5fc3\u4f9d\u8d56<\/strong><br \/>\n\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\u5b89\u88c5\u57fa\u672c\u4f9d\u8d56\uff1a<\/li>\n<\/ol>\n<pre><code>pip install langgraph-codeact\r\n<\/code><\/pre>\n<p>\u5982\u679c\u9700\u8981\u8fd0\u884c\u793a\u4f8b\u6216\u4f7f\u7528\u7279\u5b9a\u6a21\u578b\uff08\u5982 Claude 3.7\uff09\uff0c\u8fd8\u9700\u5b89\u88c5\uff1a<\/p>\n<pre><code>pip install langchain langchain-anthropic\r\n<\/code><\/pre>\n<ol start=\"3\">\n<li><strong>\u914d\u7f6e\u73af\u5883\u53d8\u91cf<\/strong><br \/>\n\u4f7f\u7528 Claude \u6a21\u578b\u65f6\uff0c\u9700\u8bbe\u7f6e <a href=\"https:\/\/www.kdjingpai.com\/claudeanquanfubai\/\">Anthropic<\/a> API \u5bc6\u94a5\u3002\u5728\u7ec8\u7aef\u8f93\u5165\uff1a<\/li>\n<\/ol>\n<pre><code>export ANTHROPIC_API_KEY=\"\u4f60\u7684\u5bc6\u94a5\"\r\n<\/code><\/pre>\n<p>\u5bc6\u94a5\u53ef\u4ece Anthropic \u5b98\u7f51\u83b7\u53d6\u3002\u5982\u679c\u4f7f\u7528\u5176\u4ed6\u6a21\u578b\uff0c\u53c2\u8003\u5bf9\u5e94\u6587\u6863\u914d\u7f6e\u3002<\/p>\n<h3>\u57fa\u672c\u4f7f\u7528\u65b9\u6cd5<\/h3>\n<p>\u5b89\u88c5\u5b8c\u6210\u540e\uff0c\u901a\u8fc7 Python \u811a\u672c\u8c03\u7528 LangGraph CodeAct\u3002\u4ee5\u4e0b\u662f\u64cd\u4f5c\u6b65\u9aa4\uff1a<\/p>\n<ol>\n<li><strong>\u521d\u59cb\u5316\u667a\u80fd\u4f53<\/strong><br \/>\n\u521b\u5efa\u4e00\u4e2a\u7b80\u5355\u811a\u672c\uff0c\u4f8b\u5982\u00a0<code>run_agent.py<\/code>\uff0c\u8f93\u5165\u4ee5\u4e0b\u4ee3\u7801\uff1a<\/li>\n<\/ol>\n<pre><code>from langchain.chat_models import init_chat_model\r\nfrom langgraph_codeact import create_codeact\r\nfrom langgraph.checkpoint.memory import MemorySaver\r\n# \u521d\u59cb\u5316\u6a21\u578b\r\nmodel = init_chat_model(\"claude-3-7-sonnet-latest\", model_provider=\"anthropic\")\r\n# \u521b\u5efa CodeAct \u5b9e\u4f8b\uff08\u65e0\u5de5\u5177\u793a\u4f8b\uff09\r\ncode_act = create_codeact(model, tools=[], eval=None)\r\n# \u7f16\u8bd1\u667a\u80fd\u4f53\uff0c\u542f\u7528\u5185\u5b58\u4fdd\u5b58\r\nagent = code_act.compile(checkpointer=MemorySaver())\r\n<\/code><\/pre>\n<ol start=\"2\">\n<li><strong>\u8fd0\u884c\u4efb\u52a1<\/strong><br \/>\n\u8f93\u5165\u95ee\u9898\uff0c\u8ba9\u667a\u80fd\u4f53\u751f\u6210\u4ee3\u7801\u5e76\u6267\u884c\u3002\u4f8b\u5982\uff1a<\/p>\n<pre><code>messages = [{\"role\": \"user\", \"content\": \"\u8ba1\u7b97 5 \u7684\u5e73\u65b9\u6839\"}]\r\nresult = agent.invoke({\"messages\": messages})\r\nprint(result[\"messages\"][-1].content)\r\n<\/code><\/pre>\n<p>\u8f93\u51fa\u7c7b\u4f3c\uff1a<code>sqrt(5) = 2.23606797749979<\/code>\u3002<\/li>\n<\/ol>\n<h3>\u6dfb\u52a0\u5de5\u5177<\/h3>\n<p>\u5b98\u65b9\u793a\u4f8b\u63d0\u4f9b\u4e86\u6570\u5b66\u5de5\u5177\uff0c\u589e\u5f3a\u667a\u80fd\u4f53\u80fd\u529b\u3002\u4ee5\u4e0b\u662f\u6dfb\u52a0\u65b9\u6cd5\uff1a<\/p>\n<ol>\n<li><strong>\u5b9a\u4e49\u5de5\u5177<\/strong><br \/>\n\u5728\u811a\u672c\u4e2d\u6dfb\u52a0\u6570\u5b66\u51fd\u6570\uff1a<\/p>\n<pre><code>from langchain_core.tools import tool\r\nimport math\r\n@tool\r\ndef add(a: float, b: float) -&gt; float:\r\n\"\"\"\u52a0\u6cd5\u5de5\u5177\"\"\"\r\nreturn a + b\r\n@tool\r\ndef sqrt(a: float) -&gt; float:\r\n\"\"\"\u5e73\u65b9\u6839\u5de5\u5177\"\"\"\r\nreturn math.sqrt(a)\r\ntools = [add, sqrt]\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u96c6\u6210\u5de5\u5177<\/strong><br \/>\n\u4fee\u6539\u521d\u59cb\u5316\u4ee3\u7801\uff1a<\/p>\n<pre><code>code_act = create_codeact(model, tools=tools, eval=None)\r\nagent = code_act.compile(checkpointer=MemorySaver())\r\n<\/code><\/pre>\n<p>\u73b0\u5728\u667a\u80fd\u4f53\u53ef\u4ee5\u4f7f\u7528\u00a0<code>add(3, 4)<\/code>\u00a0\u6216\u00a0<code>sqrt(16)<\/code>\u3002<\/li>\n<\/ol>\n<h3>\u81ea\u5b9a\u4e49\u4ee3\u7801\u6c99\u76d2<\/h3>\n<p>\u9ed8\u8ba4\u4f7f\u7528\u00a0<code>eval<\/code>\u00a0\u6267\u884c\u4ee3\u7801\uff0c\u4f46\u751f\u4ea7\u73af\u5883\u9700\u5b89\u5168\u6c99\u76d2\u3002\u793a\u4f8b\u4ee3\u7801\uff1a<\/p>\n<pre><code>def custom_sandbox(code: str, _locals: dict) -&gt; tuple[str, dict]:\r\ntry:\r\nwith open(\"temp.py\", \"w\") as f:\r\nf.write(code)\r\nimport subprocess\r\nresult = subprocess.check_output([\"python\", \"temp.py\"], text=True)\r\nreturn result, {}\r\nexcept Exception as e:\r\nreturn f\"\u9519\u8bef: {e}\", {}\r\n<\/code><\/pre>\n<p>\u5c06\u6b64\u51fd\u6570\u4f20\u5165\uff1a<\/p>\n<pre><code>code_act = create_codeact(model, tools=tools, eval=custom_sandbox)\r\n<\/code><\/pre>\n<h3>\u7279\u8272\u529f\u80fd\u64cd\u4f5c<\/h3>\n<ul>\n<li><strong>\u751f\u6210\u4ee3\u7801<\/strong><br \/>\n\u8f93\u5165\u201c\u8ba1\u7b97 3 \u548c 5 \u7684\u548c\u201d\uff0c\u667a\u80fd\u4f53\u4f1a\u751f\u6210\uff1a<\/p>\n<pre><code>result = add(3, 5)\r\nprint(result)  # \u8f93\u51fa 8\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u5bf9\u8bdd\u5386\u53f2<\/strong><br \/>\n\u63a5\u7740\u95ee\u201c\u7ed3\u679c\u52a0 2\u201d\uff0c\u667a\u80fd\u4f53\u4f1a\u8bb0\u4f4f\u00a0<code>result<\/code>\uff0c\u751f\u6210\uff1a<\/p>\n<pre><code>new_result = result + 2\r\nprint(new_result)  # \u8f93\u51fa 10\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u6d41\u5f0f\u8f93\u51fa<\/strong><br \/>\n\u4f7f\u7528\u00a0<code>.stream()<\/code>\u00a0\u67e5\u770b\u9010\u6b65\u7ed3\u679c\uff1a<\/p>\n<pre><code>for typ, chunk in agent.stream({\"messages\": messages}):\r\nif typ == \"messages\":\r\nprint(chunk[0].content, end=\"\")\r\n<\/code><\/pre>\n<\/li>\n<\/ul>\n<h3>\u6ce8\u610f\u4e8b\u9879<\/h3>\n<ul>\n<li>\u751f\u4ea7\u73af\u5883\u907f\u514d\u76f4\u63a5\u7528\u00a0<code>eval<\/code>\uff0c\u9700\u7528\u6c99\u76d2\u4fdd\u62a4\u3002<\/li>\n<li>Claude 3.7 \u662f\u5b98\u65b9\u63a8\u8350\u6a21\u578b\uff0c\u5176\u4ed6\u6a21\u578b\u53ef\u80fd\u9700\u8c03\u6574\u63d0\u793a\u8bcd\u3002<\/li>\n<li>\u5de5\u5177\u5b9a\u4e49\u9700\u7b26\u5408 LangChain \u89c4\u8303\uff0c\u53c2\u6570\u7c7b\u578b\u660e\u786e\u3002<\/li>\n<\/ul>\n<p>\u901a\u8fc7\u4ee5\u4e0a\u6b65\u9aa4\uff0c\u4f60\u53ef\u4ee5\u7528 LangGraph CodeAct \u6784\u5efa\u667a\u80fd\u4f53\uff0c\u89e3\u51b3\u5404\u79cd\u4efb\u52a1\u3002<\/p>\n<p>&nbsp;<\/p>\n<h2>\u5e94\u7528\u573a\u666f<\/h2>\n<ol>\n<li><strong>\u6570\u5b66\u6559\u80b2<\/strong><br \/>\n\u5b66\u751f\u8f93\u5165\u9898\u76ee\uff0c\u5982\u201c\u8ba1\u7b97\u629b\u7269\u7ebf\u8ddd\u79bb\u201d\uff0c\u667a\u80fd\u4f53\u751f\u6210\u4ee3\u7801\u5e76\u8f93\u51fa\u7ed3\u679c\uff0c\u5e2e\u52a9\u5b66\u4e60\u3002<\/li>\n<li><strong>\u6570\u636e\u5904\u7406<\/strong><br \/>\n\u5f00\u53d1\u8005\u7528\u5b83\u81ea\u52a8\u751f\u6210\u811a\u672c\uff0c\u5904\u7406 CSV \u6587\u4ef6\u6216\u8ba1\u7b97\u7edf\u8ba1\u6570\u636e\u3002<\/li>\n<li><strong>AI \u5b9e\u9a8c<\/strong><br \/>\n\u7814\u7a76\u4eba\u5458\u6d4b\u8bd5\u667a\u80fd\u4f53\u7684\u4ee3\u7801\u751f\u6210\u80fd\u529b\uff0c\u4f18\u5316\u590d\u6742\u4efb\u52a1\u6d41\u7a0b\u3002<\/li>\n<\/ol>\n<p>&nbsp;<\/p>\n<h2>QA<\/h2>\n<ol>\n<li><strong>\u652f\u6301\u54ea\u4e9b\u7f16\u7a0b\u8bed\u8a00\uff1f<\/strong><br \/>\n\u5f53\u524d\u4ec5\u652f\u6301 Python\uff0c\u56e0\u5176\u4e3a\u4e3b\u8981\u6267\u884c\u8bed\u8a00\u3002<\/li>\n<li><strong>\u5982\u4f55\u8c03\u8bd5\u4ee3\u7801\u9519\u8bef\uff1f<\/strong><br \/>\n\u4f7f\u7528\u00a0<code>.stream()<\/code>\u00a0\u67e5\u770b\u751f\u6210\u4ee3\u7801\uff0c\u6216\u68c0\u67e5\u6c99\u76d2\u8f93\u51fa\u9519\u8bef\u4fe1\u606f\u3002<\/li>\n<li><strong>\u53ef\u4ee5\u4e0d\u7528\u5de5\u5177\u5417\uff1f<\/strong><br \/>\n\u53ef\u4ee5\uff0c\u521d\u59cb\u5316\u65f6\u8bbe\u7f6e\u00a0<code>tools=[]<\/code>\uff0c\u4ec5\u9760\u6a21\u578b\u751f\u6210\u4ee3\u7801\u3002<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>LangGraph CodeAct \u662f LangChain AI \u56e2\u961f\u5728 GitHub \u4e0a\u5f00\u6e90\u7684\u4e00\u4e2a\u6846\u67b6\uff0c\u57fa\u4e8e CodeAct \u67b6\u6784\uff08\u8be6\u89c1\u8bba\u6587 arXiv:2402.01030\uff09\u3002\u5b83\u901a\u8fc7\u751f\u6210\u5e76\u6267\u884c Python \u4ee3\u7801\uff0c\u5e2e\u52a9\u667a\u80fd\u4f53\u9ad8\u6548\u5904\u7406\u590d\u6742&#8230;<\/p>\n","protected":false},"author":1,"featured_media":62144,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[230,201],"class_list":["post-29570","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tool","tag-aikaiyuanxiangmu","tag-aizhinengti"],"_links":{"self":[{"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/posts\/29570","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/comments?post=29570"}],"version-history":[{"count":0,"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/posts\/29570\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/media\/62144"}],"wp:attachment":[{"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/media?parent=29570"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/categories?post=29570"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/de\/wp-json\/wp\/v2\/tags?post=29570"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}