{"id":32961,"date":"2025-07-21T13:34:33","date_gmt":"2025-07-21T05:34:33","guid":{"rendered":"https:\/\/www.kdjingpai.com\/?p=32961"},"modified":"2025-07-21T13:34:33","modified_gmt":"2025-07-21T05:34:33","slug":"cogency","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/en\/cogency\/","title":{"rendered":"Cogency\uff1a\u6784\u5efa\u667a\u80fdAI\u4ee3\u7406\u7684\u8ba4\u77e5\u67b6\u6784\u5de5\u5177"},"content":{"rendered":"<p>Cogency \u662f\u4e00\u4e2a\u5f00\u6e90\u7684\u8ba4\u77e5\u67b6\u6784\u5de5\u5177\uff0c\u6258\u7ba1\u5728 GitHub \u4e0a\uff0c\u65e8\u5728\u5e2e\u52a9\u5f00\u53d1\u8005\u6784\u5efa\u9ad8\u6548\u7684 AI \u4ee3\u7406\u3002\u5b83\u901a\u8fc7\u900f\u660e\u7684 <a href=\"https:\/\/www.kdjingpai.com\/react\/\">ReAct<\/a> \u5faa\u73af\uff08\u63a8\u7406\u3001\u884c\u52a8\u3001\u89c2\u5bdf\u3001\u751f\u6210\uff09\u5b9e\u73b0\u591a\u6b65\u9aa4\u4efb\u52a1\u5904\u7406\uff0c\u652f\u6301\u5b9e\u65f6\u6d41\u5f0f\u8f93\u51fa\u548c\u53ef\u8ffd\u6eaf\u7684\u64cd\u4f5c\u3002Cogency \u63d0\u4f9b\u7075\u6d3b\u7684\u5de5\u5177\u96c6\u6210\uff0c\u4f8b\u5982\u7f51\u9875\u641c\u7d22\u3001\u5929\u6c14\u9884\u62a5\u548c\u884c\u7a0b\u89c4\u5212\uff0c\u9002\u5408\u5f00\u53d1\u667a\u80fd\u81ea\u52a8\u5316\u5e94\u7528\u3002\u7528\u6237\u53ef\u4ee5\u81ea\u5b9a\u4e49\u4ee3\u7406\u7684\u4e2a\u6027\u3001\u8bed\u6c14\u548c\u98ce\u683c\uff0c\u4f8b\u5982\u521b\u5efa\u201c\u53cb\u597d\u7684\u6d77\u76d7\u201d\u6216\u201c\u8010\u5fc3\u6559\u5e08\u201d\u98ce\u683c\u7684 AI \u52a9\u624b\u3002\u9879\u76ee\u652f\u6301\u591a\u79cd\u8bed\u8a00\u6a21\u578b\u548c\u5d4c\u5165\u5f0f\u540e\u7aef\uff0c\u5b89\u88c5\u7b80\u5355\uff0c\u5f00\u53d1\u8005\u53ef\u5feb\u901f\u4e0a\u624b\u3002Cogency \u7684\u8bbe\u8ba1\u6ce8\u91cd\u6a21\u5757\u5316\u548c\u6269\u5c55\u6027\uff0c\u9002\u5408\u4ece\u7b80\u5355\u4efb\u52a1\u5230\u590d\u6742\u5de5\u4f5c\u6d41\u7684\u5f00\u53d1\u9700\u6c42\u3002<\/p>\n<h2>\u529f\u80fd\u5217\u8868<\/h2>\n<ul>\n<li><strong>\u591a\u6b65\u9aa4\u63a8\u7406<\/strong>\uff1a\u901a\u8fc7 ReAct \u5faa\u73af\uff08\u63a8\u7406\u3001\u884c\u52a8\u3001\u89c2\u5bdf\u3001\u751f\u6210\uff09\u5206\u89e3\u590d\u6742\u4efb\u52a1\uff0c\u9010\u6b65\u751f\u6210\u7ed3\u679c\u3002<\/li>\n<li><strong>\u5de5\u5177\u96c6\u6210<\/strong>\uff1a\u652f\u6301\u7f51\u9875\u641c\u7d22\u3001\u5929\u6c14\u9884\u62a5\u3001\u65c5\u884c\u4fe1\u606f\u7b49\u5de5\u5177\uff0c\u5f00\u53d1\u8005\u53ef\u81ea\u5b9a\u4e49\u5de5\u5177\u6269\u5c55\u529f\u80fd\u3002<\/li>\n<li><strong>\u5b9e\u65f6\u6d41\u5f0f\u8f93\u51fa<\/strong>\uff1a\u6bcf\u4e2a\u64cd\u4f5c\u6b65\u9aa4\u5b9e\u65f6\u663e\u793a\uff0c\u4fbf\u4e8e\u8c03\u8bd5\u548c\u8ffd\u8e2a\u3002<\/li>\n<li><strong>\u4e2a\u6027\u5316\u4ee3\u7406<\/strong>\uff1a\u652f\u6301\u8bbe\u7f6e\u4ee3\u7406\u7684\u4e2a\u6027\u3001\u8bed\u6c14\u548c\u98ce\u683c\uff0c\u4f8b\u5982\u201c\u53cb\u597d\u7684\u6d77\u76d7\u201d\u6216\u201c\u9f13\u52b1\u7684\u6559\u5e08\u201d\u3002<\/li>\n<li><strong>\u591a\u8bed\u8a00\u6a21\u578b\u652f\u6301<\/strong>\uff1a\u517c\u5bb9\u591a\u79cd\u4e3b\u6d41\u8bed\u8a00\u6a21\u578b\u548c\u5d4c\u5165\u5f0f\u540e\u7aef\uff0c\u7075\u6d3b\u9002\u914d\u4e0d\u540c\u5f00\u53d1\u9700\u6c42\u3002<\/li>\n<li><strong>\u6a21\u5757\u5316\u8bbe\u8ba1<\/strong>\uff1a\u63d0\u4f9b\u6613\u4e8e\u6269\u5c55\u7684\u67b6\u6784\uff0c\u5f00\u53d1\u8005\u53ef\u5feb\u901f\u6dfb\u52a0\u65b0\u5de5\u5177\u6216\u529f\u80fd\u3002<\/li>\n<li><strong>\u5f02\u6b65\u64cd\u4f5c<\/strong>\uff1a\u652f\u6301\u5f02\u6b65\u7f16\u7a0b\uff0c\u9002\u5408\u5904\u7406\u9ad8\u5e76\u53d1\u4efb\u52a1\u3002<\/li>\n<\/ul>\n<h2>\u4f7f\u7528\u5e2e\u52a9<\/h2>\n<h3>\u5b89\u88c5\u6d41\u7a0b<\/h3>\n<p>\u8981\u4f7f\u7528 Cogency\uff0c\u5f00\u53d1\u8005\u9700\u5148\u5b89\u88c5 Python \u73af\u5883\uff08\u5efa\u8bae Python 3.8 \u6216\u4ee5\u4e0a\uff09\u3002\u4ee5\u4e0b\u662f\u8be6\u7ec6\u7684\u5b89\u88c5\u6b65\u9aa4\uff1a<\/p>\n<ol>\n<li><strong>\u514b\u9686\u9879\u76ee\u4ee3\u7801<\/strong>\uff1a<br \/>\n\u5728\u7ec8\u7aef\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\uff0c\u5c06 Cogency \u4ed3\u5e93\u514b\u9686\u5230\u672c\u5730\uff1a<\/p>\n<pre><code>git clone https:\/\/github.com\/iteebz\/cogency.git\r\ncd cogency\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u5b89\u88c5\u4f9d\u8d56<\/strong>\uff1a<br \/>\n\u4f7f\u7528 pip \u5b89\u88c5 Cogency \u6838\u5fc3\u5305\uff1a<\/p>\n<pre><code>pip install cogency\r\n<\/code><\/pre>\n<p>\u5982\u679c\u9700\u8981\u652f\u6301\u6240\u6709\u8bed\u8a00\u6a21\u578b\u3001\u5d4c\u5165\u5f0f\u540e\u7aef\u548c\u5de5\u5177\uff0c\u8fd0\u884c\uff1a<\/p>\n<pre><code>pip install cogency[all]\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u914d\u7f6e API \u5bc6\u94a5<\/strong>\uff1a<br \/>\nCogency \u652f\u6301\u591a\u79cd\u8bed\u8a00\u6a21\u578b\uff08\u5982 OpenAI\uff09\u3002\u9700\u8981\u914d\u7f6e API \u5bc6\u94a5\uff0c\u521b\u5efa\u00a0<code>.env<\/code>\u00a0\u6587\u4ef6\u5e76\u6dfb\u52a0\u5bc6\u94a5\uff1a<\/p>\n<pre><code>echo \"OPENAI_API_KEY=sk-...\" &gt;&gt; .env\r\n<\/code><\/pre>\n<p>\u66ff\u6362\u00a0<code>sk-...<\/code>\u00a0\u4e3a\u4f60\u7684\u5b9e\u9645 API \u5bc6\u94a5\u3002\u652f\u6301\u5176\u4ed6\u63d0\u4f9b\u5546\u7684\u5bc6\u94a5\uff0c\u5177\u4f53\u53c2\u8003\u5b98\u65b9\u6587\u6863\u3002<\/li>\n<li><strong>\u9a8c\u8bc1\u5b89\u88c5<\/strong>\uff1a<br \/>\n\u8fd0\u884c\u4ee5\u4e0b\u4ee3\u7801\u6d4b\u8bd5\u5b89\u88c5\u662f\u5426\u6210\u529f\uff1a<\/p>\n<pre><code>import asyncio\r\nfrom cogency import Agent\r\nasync def main():\r\nagent = Agent(\"assistant\")\r\nasync for chunk in agent.stream(\"What is 25 * 43?\"):\r\nprint(chunk, end=\"\", flush=True)\r\nasyncio.run(main())\r\n<\/code><\/pre>\n<p>\u5982\u679c\u8f93\u51fa\u00a0<code>1075<\/code>\uff0c\u8bf4\u660e\u5b89\u88c5\u6210\u529f\u3002<\/li>\n<\/ol>\n<h3>\u529f\u80fd\u64cd\u4f5c\u6d41\u7a0b<\/h3>\n<p>Cogency \u7684\u6838\u5fc3\u5728\u4e8e\u901a\u8fc7 ReAct \u5faa\u73af\u5b9e\u73b0\u667a\u80fd\u4efb\u52a1\u5904\u7406\u3002\u4ee5\u4e0b\u662f\u4e3b\u8981\u529f\u80fd\u7684\u4f7f\u7528\u65b9\u6cd5\uff1a<\/p>\n<h4>\u521b\u5efa\u548c\u4f7f\u7528 AI \u4ee3\u7406<\/h4>\n<ol>\n<li><strong>\u521d\u59cb\u5316\u4ee3\u7406<\/strong>\uff1a<br \/>\n\u521b\u5efa\u4e00\u4e2a\u57fa\u7840\u4ee3\u7406\uff1a<\/p>\n<pre><code>from cogency import Agent\r\nagent = Agent(\"assistant\")\r\n<\/code><\/pre>\n<p>\u53ef\u4ee5\u901a\u8fc7\u8bbe\u7f6e\u00a0<code>personality<\/code>\u3001<code>tone<\/code>\u00a0\u548c\u00a0<code>style<\/code>\u00a0\u53c2\u6570\u81ea\u5b9a\u4e49\u4ee3\u7406\u3002\u4f8b\u5982\uff0c\u521b\u5efa\u4e00\u4e2a\u201c\u53cb\u597d\u7684\u6d77\u76d7\u201d\u4ee3\u7406\uff1a<\/p>\n<pre><code>pirate = Agent(\"pirate\", personality=\"friendly pirate who loves coding\")\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u8fd0\u884c\u4efb\u52a1<\/strong>\uff1a<br \/>\n\u4f7f\u7528\u00a0<code>stream<\/code>\u00a0\u65b9\u6cd5\u8fd0\u884c\u4efb\u52a1\uff0c\u8f93\u51fa\u5b9e\u65f6\u6d41\u5f0f\u7ed3\u679c\u3002\u4f8b\u5982\uff0c\u67e5\u8be2\u6570\u5b66\u95ee\u9898\uff1a<\/p>\n<pre><code>async for chunk in agent.stream(\"What is 25 * 43?\"):\r\nprint(chunk, end=\"\", flush=True)\r\n<\/code><\/pre>\n<p>\u8f93\u51fa\u4e3a\u00a0<code>1075<\/code>\u3002\u5bf9\u4e8e\u590d\u6742\u4efb\u52a1\uff0c\u5982\u884c\u7a0b\u89c4\u5212\uff1a<\/p>\n<pre><code>async for chunk in agent.stream(\"Plan a 3-day trip to Tokyo\"):\r\nprint(chunk, end=\"\", flush=True)\r\n<\/code><\/pre>\n<p>\u4ee3\u7406\u4f1a\u81ea\u52a8\u8c03\u7528\u5de5\u5177\uff08\u5982\u5929\u6c14\u9884\u62a5\u3001\u65c5\u884c\u4fe1\u606f\uff09\uff0c\u751f\u6210\u8be6\u7ec6\u884c\u7a0b\u3002<\/li>\n<\/ol>\n<h4>\u5de5\u5177\u96c6\u6210<\/h4>\n<p>Cogency \u652f\u6301\u5185\u7f6e\u5de5\u5177\uff08\u5982\u00a0<code>web_search<\/code>\u3001<code>weather_forecast<\/code>\uff09\u548c\u81ea\u5b9a\u4e49\u5de5\u5177\u3002\u4ee5\u4e0b\u662f\u6dfb\u52a0\u81ea\u5b9a\u4e49\u5de5\u5177\u7684\u6b65\u9aa4\uff1a<\/p>\n<ol>\n<li><strong>\u5b9a\u4e49\u5de5\u5177<\/strong>\uff1a<br \/>\n\u521b\u5efa\u4e00\u4e2a\u81ea\u5b9a\u4e49\u5de5\u5177\uff0c\u4f8b\u5982\u83b7\u53d6\u57ce\u5e02\u65f6\u95f4\u7684\u00a0<code>TimezoneTool<\/code>\uff1a<\/p>\n<pre><code>from cogency import Agent, BaseTool\r\nclass TimezoneTool(BaseTool):\r\ndef __init__(self):\r\nsuper().__init__(\"timezone\", \"Get time in any city\")\r\nasync def run(self, city: str):\r\nreturn {\"time\": f\"Current time in {city}: 14:30 PST\"}\r\ndef get_schema(self):\r\nreturn \"timezone(city='string')\"\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u6ce8\u518c\u5de5\u5177<\/strong>\uff1a<br \/>\n\u5c06\u5de5\u5177\u6ce8\u518c\u5230\u4ee3\u7406\uff1a<\/p>\n<pre><code>agent = Agent(\"time_assistant\", tools=[TimezoneTool()])\r\nasync for chunk in agent.stream(\"What's the time in London?\"):\r\nprint(chunk, end=\"\", flush=True)\r\n<\/code><\/pre>\n<p>\u8f93\u51fa\u4e3a\u00a0<code>Current time in London: 14:30 PST<\/code>\u3002<\/li>\n<\/ol>\n<h4>\u4e2a\u6027\u5316\u4ee3\u7406\u8bbe\u7f6e<\/h4>\n<p>Cogency \u5141\u8bb8\u4e3a\u4ee3\u7406\u8bbe\u7f6e\u4e2a\u6027\u3002\u4f8b\u5982\uff0c\u521b\u5efa\u4e00\u4e2a\u201c\u8010\u5fc3\u6559\u5e08\u201d\u98ce\u683c\u7684\u4ee3\u7406\uff1a<\/p>\n<pre><code>teacher = Agent(\"teacher\", personality=\"patient teacher\", tone=\"encouraging\", style=\"conversational\")\r\nasync for chunk in teacher.stream(\"Explain quantum computing\"):\r\nprint(chunk, end=\"\", flush=True)\r\n<\/code><\/pre>\n<p>\u8f93\u51fa\u5c06\u4ee5\u9f13\u52b1\u7684\u8bed\u6c14\u3001\u53e3\u8bed\u5316\u98ce\u683c\u89e3\u91ca\u91cf\u5b50\u8ba1\u7b97\u3002<\/p>\n<h4>\u8c03\u8bd5\u4e0e\u8ffd\u8e2a<\/h4>\n<p>Cogency \u7684\u6bcf\u4e2a\u64cd\u4f5c\u6b65\u9aa4\u90fd\u53ef\u8ffd\u6eaf\u3002\u8fd0\u884c\u4efb\u52a1\u65f6\uff0c\u65e5\u5fd7\u4f1a\u8bb0\u5f55\u63a8\u7406\u3001\u884c\u52a8\u548c\u89c2\u5bdf\u7684\u6bcf\u4e00\u6b65\u3002\u4f8b\u5982\uff0c\u8fd0\u884c\u884c\u7a0b\u89c4\u5212\u4efb\u52a1\u65f6\uff0c\u65e5\u5fd7\u53ef\u80fd\u663e\u793a\uff1a<\/p>\n<ul>\n<li><strong>\u63a8\u7406<\/strong>\uff1a\u9700\u8981\u5929\u6c14\u4fe1\u606f\u6765\u89c4\u5212\u6d3b\u52a8\u3002<\/li>\n<li><strong>\u884c\u52a8<\/strong>\uff1a\u8c03\u7528\u00a0<code>weather_forecast(\"Tokyo 3 days\")<\/code>\u3002<\/li>\n<li><strong>\u89c2\u5bdf<\/strong>\uff1a\u83b7\u53d6\u5929\u6c14\u6570\u636e\uff08\u6674\u5929\u3001\u96e8\u5929\u7b49\uff09\u3002<\/li>\n<li><strong>\u751f\u6210<\/strong>\uff1a\u57fa\u4e8e\u5929\u6c14\u6570\u636e\u751f\u6210\u884c\u7a0b\u3002<\/li>\n<\/ul>\n<p>\u5f00\u53d1\u8005\u53ef\u901a\u8fc7\u65e5\u5fd7\u8c03\u8bd5\u4ee3\u7406\u884c\u4e3a\uff0c\u786e\u4fdd\u4efb\u52a1\u6309\u9700\u6267\u884c\u3002<\/p>\n<h3>\u6ce8\u610f\u4e8b\u9879<\/h3>\n<ul>\n<li>\u786e\u4fdd\u7f51\u7edc\u8fde\u63a5\u7a33\u5b9a\uff0c\u90e8\u5206\u5de5\u5177\uff08\u5982\u7f51\u9875\u641c\u7d22\uff09\u9700\u8981\u8bbf\u95ee\u4e92\u8054\u7f51\u3002<\/li>\n<li>\u68c0\u67e5\u00a0<code>.env<\/code>\u00a0\u6587\u4ef6\u4e2d\u7684 API \u5bc6\u94a5\u662f\u5426\u6b63\u786e\u914d\u7f6e\u3002<\/li>\n<li>\u5f02\u6b65\u7f16\u7a0b\u9700\u8981 Python \u7684\u00a0<code>asyncio<\/code>\u00a0\u652f\u6301\uff0c\u5efa\u8bae\u719f\u6089\u5f02\u6b65\u8bed\u6cd5\u3002<\/li>\n<li>\u5b98\u65b9\u6587\u6863\uff08\u4f4d\u4e8e GitHub \u4ed3\u5e93\u7684\u00a0<code>README.md<\/code>\uff09\u63d0\u4f9b\u66f4\u591a\u793a\u4f8b\u548c\u9ad8\u7ea7\u7528\u6cd5\u3002<\/li>\n<\/ul>\n<h2>\u5e94\u7528\u573a\u666f<\/h2>\n<ol>\n<li><strong>\u81ea\u52a8\u5316\u4efb\u52a1\u5904\u7406<\/strong><br \/>\nCogency \u9002\u5408\u5f00\u53d1\u81ea\u52a8\u5316\u5de5\u4f5c\u6d41\u3002\u4f8b\u5982\uff0c\u7535\u5546\u5e73\u53f0\u53ef\u4f7f\u7528 Cogency \u4ee3\u7406\u81ea\u52a8\u56de\u590d\u5ba2\u6237\u54a8\u8be2\uff0c\u7ed3\u5408\u7f51\u9875\u641c\u7d22\u5de5\u5177\u67e5\u627e\u4ea7\u54c1\u4fe1\u606f\u3002<\/li>\n<li><strong>\u65c5\u884c\u89c4\u5212<\/strong><br \/>\n\u7528\u6237\u53ef\u4ee5\u8f93\u5165\u201c\u8ba1\u5212\u4e1c\u4eac\u4e09\u5929\u884c\u7a0b\u201d\uff0cCogency \u4f1a\u81ea\u52a8\u8c03\u7528\u5929\u6c14\u9884\u62a5\u548c\u65c5\u884c\u4fe1\u606f\u5de5\u5177\uff0c\u751f\u6210\u5929\u6c14\u9002\u914d\u7684\u884c\u7a0b\u5efa\u8bae\u3002<\/li>\n<li><strong>\u6559\u80b2\u8f85\u52a9<\/strong><br \/>\n\u6559\u5e08\u98ce\u683c\u7684\u4ee3\u7406\u53ef\u7528\u4e8e\u89e3\u91ca\u590d\u6742\u6982\u5ff5\uff0c\u5982\u91cf\u5b50\u8ba1\u7b97\u6216\u7f16\u7a0b\u57fa\u7840\uff0c\u9002\u5408\u5728\u7ebf\u6559\u80b2\u5e73\u53f0\u6216\u4e2a\u4eba\u5b66\u4e60\u3002<\/li>\n<li><strong>\u5f00\u53d1\u5de5\u5177\u6269\u5c55<\/strong><br \/>\n\u5f00\u53d1\u8005\u53ef\u4e3a Cogency \u6dfb\u52a0\u81ea\u5b9a\u4e49\u5de5\u5177\uff0c\u5982\u6570\u636e\u5e93\u67e5\u8be2\u6216\u6587\u4ef6\u7ba1\u7406\uff0c\u6269\u5c55\u5176\u5728\u4f01\u4e1a\u7ea7\u5e94\u7528\u4e2d\u7684\u529f\u80fd\u3002<\/li>\n<\/ol>\n<h2>QA<\/h2>\n<ol>\n<li><strong>Cogency \u652f\u6301\u54ea\u4e9b\u8bed\u8a00\u6a21\u578b\uff1f<\/strong><br \/>\nCogency \u652f\u6301\u591a\u79cd\u4e3b\u6d41\u8bed\u8a00\u6a21\u578b\uff0c\u5982 OpenAI \u7684 GPT \u7cfb\u5217\uff0c\u5177\u4f53\u652f\u6301\u5217\u8868\u9700\u53c2\u8003\u5b98\u65b9\u6587\u6863\u3002\u7528\u6237\u9700\u63d0\u4f9b\u76f8\u5e94 API \u5bc6\u94a5\u3002<\/li>\n<li><strong>\u5982\u4f55\u8c03\u8bd5\u4ee3\u7406\u7684\u884c\u4e3a\uff1f<\/strong><br \/>\nCogency \u7684 ReAct \u5faa\u73af\u6bcf\u4e00\u6b65\u90fd\u4f1a\u8bb0\u5f55\u65e5\u5fd7\uff0c\u5f00\u53d1\u8005\u53ef\u67e5\u770b\u63a8\u7406\u3001\u884c\u52a8\u548c\u89c2\u5bdf\u7684\u7ec6\u8282\uff0c\u5b9a\u4f4d\u95ee\u9898\u3002<\/li>\n<li><strong>\u662f\u5426\u9700\u8981\u7f16\u7a0b\u7ecf\u9a8c\uff1f<\/strong><br \/>\n\u57fa\u7840\u4f7f\u7528\u9700\u8981 Python \u7f16\u7a0b\u77e5\u8bc6\uff0c\u5c24\u5176\u662f\u5f02\u6b65\u7f16\u7a0b\u3002\u975e\u5f00\u53d1\u8005\u53ef\u53c2\u8003\u793a\u4f8b\u4ee3\u7801\u5feb\u901f\u4e0a\u624b\u3002<\/li>\n<li><strong>\u53ef\u4ee5\u79bb\u7ebf\u4f7f\u7528\u5417\uff1f<\/strong><br \/>\n\u90e8\u5206\u529f\u80fd\uff08\u5982\u672c\u5730\u8ba1\u7b97\u4efb\u52a1\uff09\u652f\u6301\u79bb\u7ebf\u4f7f\u7528\uff0c\u4f46\u7f51\u9875\u641c\u7d22\u7b49\u5de5\u5177\u9700\u8981\u8054\u7f51\u3002<\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>Cogency \u662f\u4e00\u4e2a\u5f00\u6e90\u7684\u8ba4\u77e5\u67b6\u6784\u5de5\u5177\uff0c\u6258\u7ba1\u5728 GitHub \u4e0a\uff0c\u65e8\u5728\u5e2e\u52a9\u5f00\u53d1\u8005\u6784\u5efa\u9ad8\u6548\u7684 AI \u4ee3\u7406\u3002\u5b83\u901a\u8fc7\u900f\u660e\u7684 ReAct \u5faa\u73af\uff08\u63a8\u7406\u3001\u884c\u52a8\u3001\u89c2\u5bdf\u3001\u751f\u6210\uff09\u5b9e\u73b0\u591a\u6b65\u9aa4\u4efb\u52a1\u5904\u7406\uff0c\u652f\u6301\u5b9e\u65f6\u6d41\u5f0f\u8f93\u51fa\u548c\u53ef\u8ffd\u6eaf\u7684\u64cd\u4f5c\u3002Cogency \u63d0\u4f9b\u7075\u6d3b\u7684&#8230;<\/p>\n","protected":false},"author":1,"featured_media":32782,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[425,20,476],"tags":[230,201],"class_list":["post-32961","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-professional","category-tool","category-agent-development","tag-aikaiyuanxiangmu","tag-aizhinengti"],"_links":{"self":[{"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/posts\/32961","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/comments?post=32961"}],"version-history":[{"count":0,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/posts\/32961\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/media\/32782"}],"wp:attachment":[{"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/media?parent=32961"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/categories?post=32961"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/tags?post=32961"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}