{"id":53744,"date":"2025-02-16T17:23:39","date_gmt":"2025-02-16T09:23:39","guid":{"rendered":"https:\/\/fwq.ai\/blog\/53744\/"},"modified":"2025-02-16T17:23:39","modified_gmt":"2025-02-16T09:23:39","slug":"dspy-agent%e5%bc%80%e5%8f%91%e7%ae%80%e6%98%8e%e6%95%99%e7%a8%8b","status":"publish","type":"post","link":"https:\/\/fwq.ai\/blog\/53744\/","title":{"rendered":"DSPy Agent\u5f00\u53d1\u7b80\u660e\u6559\u7a0b"},"content":{"rendered":"<p>\u8fd9\u7bc7\u6587\u7ae0\u5c06\u9996\u5148\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528 DSPy \u4ece\u5934\u5f00\u59cb\u200b\u200b\u521b\u5efa\u4ee3\u7406\u3002<\/p>\n<p>\u672c\u6587\u7684\u76ee\u7684\u662f\u6559\u80b2\uff0c\u4e0d\u8981\u5c06\u5176\u7528\u4e8e\u751f\u4ea7\u3002\u8fd9\u662f\u5bf9\u5982\u4f55\u5904\u7406\u5b83\u7684\u63a2\u7d22\u3002<\/p>\n<p>\u6211\u6240\u8bf4\u7684\u4ee3\u7406\u662f\u4ec0\u4e48\u610f\u601d\uff1f\u884c\u4e1a\u4e2d\u6709\u5f88\u591a\u4e0d\u540c\u7684\u5b9a\u4e49\uff0c\u6211\u4f7f\u7528&#8230;<\/p>\n<ul>\n<li>\u53ef\u4ee5\u505a\u4e8b\u7684\u72ec\u7acb\uff08\u76f8\u5bf9\uff09\u4ee3\u7406<\/li>\n<li>\u4ed6\u4eec\u53ef\u4ee5\u4f7f\u7528\u5de5\u5177\u3002<\/li>\n<li>\u4ed6\u4eec\u53ef\u4ee5\u8ba1\u5212\u548c\u6267\u884c\u4efb\u52a1\u3002<\/li>\n<\/ul>\n<p>\u5728\u8fd9\u7bc7\u535a\u6587\u4e2d\uff0c\u6211\u5c06\u5c1d\u8bd5\u5728 DSPy \u4e2d\u6784\u5efa\u4ee3\u7406\u3002\u8fd9\u5b9e\u9645\u4e0a\u66f4\u50cf\u662f\u4e00\u4e2a\u4ee3\u7406\u201c\u6846\u67b6\u201d\uff0c\u4f46\u4f60\u660e\u767d\u6211\u7684\u610f\u601d\u3002<\/p>\n<p>\u672c\u6559\u7a0b\u7684\u76ee\u6807\u662f\u6307\u5bfc\u4f60\u5b8c\u6210\u4f7f\u7528 DSPy \u6784\u5efa\u7b80\u5355\u4ee3\u7406\u5e94\u7528\u7a0b\u5e8f\u7684\u8fc7\u7a0b\u3002\u7531\u4e8e DSPy \u4e0d\u662f\u4ee3\u7406\u6846\u67b6\uff0c\u56e0\u6b64\u8fd9\u5b9e\u9645\u4e0a\u66f4\u50cf\u662f\u4e00\u7bc7\u201cDSPy \u4e3a\u4f60\u63d0\u4f9b\u4ec0\u4e48\u548c\u4e0d\u4e3a\u4f60\u63d0\u4f9b\u4ec0\u4e48\u201d\u7c7b\u578b\u7684\u5e16\u5b50\u3002<\/p>\n<p>\u5728\u672c\u7bc7\u6587\u7ae0\u7ed3\u675f\u65f6\uff0c\u4f60\u5c06\u4e86\u89e3\u8ba1\u5212\u3001\u5de5\u4f5c\u8005\u548c\u5de5\u5177\u7b49\u5173\u952e\u6982\u5ff5\uff0c\u4ee5\u53ca\u5b83\u4eec\u5982\u4f55\u534f\u540c\u5de5\u4f5c\u4ee5\u521b\u5efa\u529f\u80fd\u6027\u4ee3\u7406\u7cfb\u7edf\u3002<\/p>\n<blockquote><p>\n  \u6ce8\u610f\uff1a\u8fd9\u4e0e reAct \u4e4b\u7c7b\u7684\u4e1c\u897f\u5b8c\u5168\u4e0d\u540c\u3002\u8fd9\u662f\u6211\u4eec\u5728\u8f83\u4f4e\u7ea7\u522b\u4ece\u5934\u5f00\u59cb\u5b9a\u4e49\u4ee3\u7406\u3002\n<\/p><\/blockquote>\n<h2>1\u3001\u8bbe\u7f6e\u73af\u5883<\/h2>\n<p>\u6211\u4eec\u5c06\u9996\u5148\u4e3a\u6211\u4eec\u7684 DSPy \u4ee3\u7406\u5e94\u7528\u7a0b\u5e8f\u8bbe\u7f6e\u5fc5\u8981\u7684\u73af\u5883\u3002\u9996\u5148\uff0c\u6211\u4eec\u5c06\u52a0\u8f7d\u81ea\u52a8\u91cd\u65b0\u52a0\u8f7d\u6269\u5c55\u4ee5\u786e\u4fdd\u6211\u4eec\u7684\u4ee3\u7801\u66f4\u6539\u4f1a\u81ea\u52a8\u91cd\u65b0\u52a0\u8f7d\u3002<\/p>\n<p>\u6211\u4eec\u5c06\u52a0\u8f7d\u73af\u5883\u53d8\u91cf\uff0c\u5b9a\u4e49\u6211\u4eec\u7684\u6a21\u578b\u3002<\/p>\n<pre><code>from dotenv import load_dotenv\nload_dotenv()<\/code><\/pre>\n<p>\u6211\u6b63\u5728\u4f7f\u7528 LLMClient\uff0c\u56e0\u6b64\u6211\u76f8\u5e94\u5730\u8bbe\u7f6e\u4e86\u6211\u7684 api_base\u3002<\/p>\n<pre><code>import dspy\nimport instructor\nwrkr = dspy.OpenAI(model='gpt-3.5-turbo', max_tokens=1000, api_base='http:\/\/0.0.0.0:4000', model_type=\"chat\")\nbss = dspy.OpenAI(model='gpt-4-turbo', max_tokens=1000, api_base='http:\/\/0.0.0.0:4000', model_type=\"chat\")\ndspy.configure(lm=wrkr) # our default<\/code><\/pre>\n<pre><code>from typing import List, Any, Callable, Optional\nfrom pydantic import BaseModel<\/code><\/pre>\n<h2>2\u3001\u5b9a\u4e49\u8ba1\u5212\u7b7e\u540d<\/h2>\n<p>\u5728\u672c\u8282\u4e2d\uff0c\u6211\u4eec\u5c06\u4ecb\u7ecd\u201c\u8ba1\u5212\u201d\u7b7e\u540d\u7684\u6982\u5ff5\u3002<\/p>\n<pre><code>class Plan(dspy.Signature):\n    \"\"\"Produce a step by step plan to perform the task. \nThe plan needs to be in markdown format and should be broken down into big steps (with ## headings) and sub-steps beneath those.\nWhen thinking about your plan, be sure to think about the tools at your disposal and include them in your plan.\n    \"\"\"\n    task = dspy.InputField(prefix=\"Task\", desc=\"The task\")\n    context = dspy.InputField(format=str, desc=\"The context around the plan\")\n    proposed_plan = dspy.OutputField(desc=\"The proposed, step by step execution plan.\")<\/code><\/pre>\n<p><code>Plan<\/code> \u7c7b\u7ee7\u627f\u81ea <code>dspy.Signature<\/code>\uff0c\u5b83\u662f\u5b9a\u4e49 DSPy \u4e2d\u7684\u8f93\u5165\u548c\u8f93\u51fa\u5b57\u6bb5\u7684\u57fa\u7c7b\u3002\u8be5\u7c7b\u6709\u4e09\u4e2a\u5b57\u6bb5\uff1a<\/p>\n<ul>\n<li>task\uff1a\u8fd9\u662f\u4e00\u4e2a\u8f93\u5165\u5b57\u6bb5\uff0c\u8868\u793a\u9700\u8981\u8ba1\u5212\u7684\u4efb\u52a1\u3002<\/li>\n<li>context\uff1a\u8fd9\u662f\u53e6\u4e00\u4e2a\u8f93\u5165\u5b57\u6bb5\uff0c\u8868\u793a\u8ba1\u5212\u5468\u56f4\u7684\u4e0a\u4e0b\u6587\u3002\u5b83\u662f str \u7c7b\u578b\uff0c\u56e0\u6b64\u53ef\u4ee5\u662f\u591a\u884c\u3002<\/li>\n<li>proposed_plan\uff1a\u8fd9\u662f\u4e00\u4e2a\u8f93\u51fa\u5b57\u6bb5\uff0c\u5c06\u5305\u542b\u5206\u6b65\u6267\u884c\u8ba1\u5212\u3002<\/li>\n<\/ul>\n<p>Plan \u7c7b\u7684\u6587\u6863\u5b57\u7b26\u4e32\u8bf4\u660e\uff0c\u63d0\u8bae\u7684\u8ba1\u5212\u5e94\u91c7\u7528 Markdown \u683c\u5f0f\uff0c\u9876\u7ea7\u6b65\u9aa4\u7528 ## \u6807\u9898\u8868\u793a\uff0c\u5b50\u6b65\u9aa4\u4f4d\u4e8e\u5176\u4e0b\u65b9\u3002<\/p>\n<p>\u6b64 Plan \u7c7b\u5c06\u4f5c\u4e3a\u5b9a\u4e49\u4ee3\u7406\u5e94\u7528\u7a0b\u5e8f\u4e2d\u7684\u89c4\u5212\u903b\u8f91\u7684\u57fa\u7840\u3002<\/p>\n<h2>3\u3001\u521b\u5efa\u57fa\u672c Worker<\/h2>\n<p>\u6211\u4eec\u73b0\u5728\u5c06\u5728\u6211\u4eec\u7684\u4ee3\u7406\u5e94\u7528\u7a0b\u5e8f\u4e2d\u5f15\u5165 Worker \u7684\u6982\u5ff5\u3002Worker \u7c7b\u8d1f\u8d23\u5904\u7406\u5206\u914d\u7ed9\u5b83\u7684\u4efb\u52a1\u7684\u89c4\u5212\u548c\u6267\u884c\u3002<\/p>\n<p>\u6211\u4eec\u4e3a Worker \u63d0\u4f9b\u4e00\u4e2a\u89d2\u8272\u548c Worker \u53ef\u4ee5\u8bbf\u95ee\u7684\u5de5\u5177\u5217\u8868\u3002\u6211\u4eec\u5b58\u50a8\u5de5\u5177\u63cf\u8ff0\u7684\u5b57\u7b26\u4e32\u8868\u793a\uff0c\u8fd9\u5c06\u6709\u52a9\u4e8e\u5728\u89c4\u5212\u548c\u6267\u884c\u4efb\u52a1\u65f6\u4e3a Worker \u63d0\u4f9b\u4e0a\u4e0b\u6587\u3002<\/p>\n<p>\u6211\u5728\u8fd9\u91cc\u6dfb\u52a0\u4e86\u5386\u53f2\u8bb0\u5f55\uff0c\u5c3d\u7ba1\u6211\u6700\u7ec8\u6ca1\u6709\u4f7f\u7528\u5b83\u3002\u6211\u60f3\u8fd9\u662f\u6211\u5b58\u50a8\u5b83\u7684\u5730\u65b9\uff0c\u4f46\u6211\u4e0d\u662f 100% \u786e\u5b9a\u3002<\/p>\n<p><code>forward<\/code> \u65b9\u6cd5\u662f Worker \u7684\u4e3b\u8981\u5165\u53e3\u70b9\u3002<\/p>\n<p>\u6211\u8d8a\u60f3\u8d8a\u89c9\u5f97 forward \u5176\u5b9e\u53ea\u662f\u201cDSPy \u5c31\u50cf PyTorch\u201d\u7684\u6b8b\u4f59\u2014\u2014\u8fd9\u5b9e\u9645\u4e0a\u53ef\u4ee5\u662f\u4efb\u4f55\u51fd\u6570\u3002<\/p>\n<p>\u6211\u4eec\u9996\u5148\u521b\u5efa\u4e00\u4e2a\u4e0a\u4e0b\u6587\u5b57\u7b26\u4e32\uff0c\u5176\u4e2d\u5305\u542b\u5de5\u4f5c\u8005\u7684\u89d2\u8272\u548c\u53ef\u7528\u5de5\u5177\u7684\u63cf\u8ff0\u3002\u7136\u540e\uff0c\u6211\u4eec\u5c06\u6b64\u4e0a\u4e0b\u6587\u548c\u4efb\u52a1\u4f20\u9012\u7ed9 plan \u65b9\u6cd5\uff0c\u8be5\u65b9\u6cd5\u8fd4\u56de\u5305\u542b\u5efa\u8bae\u8ba1\u5212\u7684\u7ed3\u679c\u5bf9\u8c61\u3002\u6700\u540e\uff0c\u6211\u4eec\u5c06\u5efa\u8bae\u7684\u8ba1\u5212\u6253\u5370\u5230\u63a7\u5236\u53f0\uff0c\u8fd9\u6837\u6211\u4eec\u5c31\u53ef\u4ee5\u770b\u5230\u5de5\u4f5c\u8005\u7684\u201c\u601d\u8003\u8fc7\u7a0b\u201d\u3002<\/p>\n<pre><code>class Worker(dspy.Module):\n    def __init__(self, role:str, tools:List):\n        self.role = role\n        self.tools = tools\n        self.tool_descriptions = \"\\n\".join([f\"- {t.name}: {t.description}. To use this tool please provide: `{t.requires}`\" for t in tools])\n        self.plan = dspy.ChainOfThought(Plan)\n    def forward(self, task:str):\n        context = f\"{self.role}\\n{self.tool_descriptions}\"\n        input_args = dict(\n            context = context,\n            task = task\n        ) # just did args for printing for debugging\n        result = self.plan(**input_args)\n        print(result.proposed_plan)<\/code><\/pre>\n<h2>4\u3001\u5b9a\u4e49\u5de5\u5177<\/h2>\n<p>\u6211\u4eec\u73b0\u5728\u5c06\u5728\u6211\u4eec\u7684\u4ee3\u7406\u5e94\u7528\u7a0b\u5e8f\u4e2d\u5f15\u5165\u5de5\u5177\u7684\u6982\u5ff5\u3002\u5de5\u5177\u662f\u6211\u4eec\u7684\u4ee3\u7406\u53ef\u4ee5\u7528\u6765\u5b8c\u6210\u4efb\u52a1\u7684\u4e13\u95e8\u529f\u80fd\u3002\u6bcf\u4e2a\u5de5\u5177\u90fd\u6709\u4e00\u4e2a\u540d\u79f0\u3001\u4e00\u4e2a\u63cf\u8ff0\u3001\u4e00\u4e2a\u6240\u9700\u8f93\u5165\u5217\u8868\u548c\u4e00\u4e2a\u6267\u884c\u5b9e\u9645\u5de5\u4f5c\u7684\u51fd\u6570\u3002Tool \u7c7b\u5b9a\u4e49\u5982\u4e0b\uff1a<\/p>\n<pre><code>class Tool(BaseModel):\n    name: str\n    description: str\n    requires: str\n    func: Callable<\/code><\/pre>\n<p>\u6ce8\u610f\uff1aDSPy \u4e0d\u4f7f\u7528\u51fd\u6570\u8c03\u7528\uff08\u4f8b\u5982\u6765\u81ea OpenAI\uff09\uff0c\u6240\u4ee5\u6211\u4eec\u57fa\u672c\u4e0a\u5fc5\u987b\u5b9a\u4e49\u81ea\u5df1\u7684\u51fd\u6570\u8c03\u7528\u3002\u6211\u4e0d\u786e\u5b9a\u6700\u597d\u7684\u65b9\u6cd5\u662f\u4ec0\u4e48\uff0c\u4f46\u672c\u7740\u201c\u9ed1\u5ba2\u9a6c\u62c9\u677e\u201d\u7684\u7cbe\u795e\uff0c\u6211\u5c31\u8fd9\u6837\u505a\u4e86\u3002<\/p>\n<p>\u5927\u591a\u6570\u53c2\u6570\u90fd\u662f\u4e0d\u8a00\u81ea\u660e\u7684\uff0c\u4f46 <code>requires<\/code>\u5b57\u6bb5\u6307\u5b9a\u4e86\u5de5\u5177\u8fd0\u884c\u6240\u9700\u7684\u8f93\u5165\u3002\u800c <code>func<\/code>\u5b57\u6bb5\u662f\u4e00\u4e2a\u53ef\u8c03\u7528\u51fd\u6570\uff0c\u5b83\u63a5\u53d7\u6240\u9700\u7684\u8f93\u5165\u5e76\u8fd4\u56de\u4f7f\u7528\u8be5\u5de5\u5177\u7684\u7ed3\u679c\u3002<\/p>\n<p>\u4e3a\u4e86\u6f14\u793a\u5de5\u5177\u7684\u5de5\u4f5c\u539f\u7406\uff0c\u8ba9\u6211\u4eec\u521b\u5efa\u4e00\u4e9b\u6d4b\u8bd5\u5de5\u5177\uff1a<\/p>\n<pre><code>test_tools = [\n    Tool(name=\"phone\", description=\"a way of making phone calls\", requires=\"phone_number\", func=lambda x: \"they've got time\"),\n    Tool(name=\"local business lookup\", description=\"Look up businesses by category\", requires=\"business category\", func=lambda x: \"Bills landscaping: 415-555-5555\")\n]<\/code><\/pre>\n<p>\u7136\u540e\u6211\u4eec\u53ef\u4ee5\u5728\u4ee3\u7406\u5e94\u7528\u7a0b\u5e8f\u4e2d\u4f7f\u7528\u8fd9\u4e9b\u5de5\u5177\u3002\u4f8b\u5982\uff0c\u6211\u4eec\u53ef\u4ee5\u521b\u5efa\u4e00\u4e2a Worker \u5e76\u8ba9\u5b83\u4f7f\u7528\u6d4b\u8bd5\u5de5\u5177\u6765\u5c1d\u8bd5\u5b8c\u6210\u4e00\u9879\u4efb\u52a1\uff1a<\/p>\n<pre><code>with dspy.context(lm=wrkr):\n    Worker(\"assistant\", test_tools).forward(\"get this yard cleaned up.\")\n# you'll see output you might expect.<\/code><\/pre>\n<p>\u8fd9\u6f14\u793a\u4e86\u5982\u4f55\u5c06 Tools \u96c6\u6210\u5230\u4ee3\u7406\u5e94\u7528\u7a0b\u5e8f\u4e2d\u4ee5\u63d0\u4f9b\u53ef\u7528\u4e8e\u5b8c\u6210\u4efb\u52a1\u7684\u4e13\u95e8\u529f\u80fd\u3002\u5728\u4e0b\u4e00\u8282\u4e2d\uff0c\u6211\u4eec\u5c06\u5c1d\u8bd5\u5c06\u5176\u63d0\u5347\u5230\u4e00\u4e2a\u65b0\u7684\u6c34\u5e73\u3002<\/p>\n<h2>5\u3001\u6539\u8fdb Worker \u7c7b<\/h2>\n<p>\u6211\u4eec\u5f15\u5165\u4e86\u57fa\u672c\u7684 Worker \u7c7b\uff0c\u4f46\u4e3a\u4e86\u4f7f\u6211\u4eec\u7684\u4ee3\u7406\u5e94\u7528\u7a0b\u5e8f\u66f4\u52a0\u5065\u58ee\uff0c\u6211\u4eec\u9700\u8981\u6539\u8fdb Worker \u7c7b\u3002\u5728\u66f4\u65b0\u7684 Worker2 \u7c7b\u4e2d\uff0c\u6211\u4eec\u6dfb\u52a0\u4e86\u4e24\u4e2a\u65b0\u65b9\u6cd5\uff1aplan \u548c execute\u3002<\/p>\n<p><code>plan<\/code> \u65b9\u6cd5\u8d1f\u8d23\u4e3a\u7ed9\u5b9a\u4efb\u52a1\u751f\u6210\u62df\u8bae\u7684\u884c\u52a8\u8ba1\u5212\u3002<\/p>\n<p><code>execute<\/code> \u65b9\u6cd5\u8d1f\u8d23\u6267\u884c\u8ba1\u5212\u7684\u64cd\u4f5c\u3002\u5b83\u9996\u5148\u68c0\u67e5\u662f\u5426\u53ef\u4ee5\u5728\u4e0d\u4f7f\u7528\u4efb\u4f55\u5de5\u5177\u7684\u60c5\u51b5\u4e0b\u5b8c\u6210\u4efb\u52a1\u3002\u5982\u679c\u662f\uff0c\u5b83\u53ea\u4f1a\u8fd4\u56de\u4e00\u6761\u6210\u529f\u6d88\u606f\u3002\u5426\u5219\uff0c\u5b83\u518d\u6b21\u4f7f\u7528 DSPy \u4e2d\u7684 ChainOfThought \u6a21\u5757\u6765\u786e\u5b9a\u9700\u8981\u54ea\u4e2a\u5de5\u5177\u4ee5\u53ca\u4e3a\u8be5\u5de5\u5177\u63d0\u4f9b\u54ea\u4e9b\u53c2\u6570\u3002\u7136\u540e\u5b83\u8c03\u7528\u9002\u5f53\u5de5\u5177\u7684 func \u65b9\u6cd5\u6765\u5b8c\u6210\u4efb\u52a1\u3002<\/p>\n<p>\u6ce8\u610f\uff1a\u6211\u4e0d\u592a\u786e\u5b9a\u8fd9\u662f\u5426\u662f\u6b63\u786e\u7684\u9009\u62e9\u3002\u5b83\u53ef\u4ee5\u5de5\u4f5c\uff0c\u4f46\u5728\u6211\u771f\u6b63\u79f0\u5176\u4e3a\u201c\u597d\u201d\u4e4b\u524d\uff0c\u5b83\u9700\u8981\u66f4\u591a\u7684\u601d\u8003\u3002<\/p>\n<p>\u901a\u8fc7\u4f7f\u7528 ChainOfThought \u6a21\u5757\u8fdb\u884c\u89c4\u5212\u548c\u6267\u884c\uff0c\u6211\u4eec\u8ba9\u5de5\u4f5c\u4eba\u5458\u80fd\u591f\u4ed4\u7ec6\u601d\u8003\u95ee\u9898\uff0c\u5c06\u5176\u5206\u89e3\u4e3a\u66f4\u5c0f\u7684\u6b65\u9aa4\uff0c\u7136\u540e\u9009\u62e9\u6b63\u786e\u7684\u5de5\u5177\u6765\u5b8c\u6210\u6bcf\u4e2a\u6b65\u9aa4\u3002\u8fd9\u91cc\u6700\u68d2\u7684\u662f\uff0c\u6211\u4eec\u53ef\u4ee5\u5185\u8054\u5730\u6216\u4ee5\u6b63\u5f0f\u7b7e\u540d\u7684\u5f62\u5f0f\u5b9a\u4e49\u5b83\u4eec\u3002<\/p>\n<pre><code>class Worker2(dspy.Module):\n    def __init__(self, role:str, tools:List):\n        self.role = role\n        self.tools = dict([(t.name, t) for t in tools])\n        self.tool_descriptions = \"\\n\".join([f\"- {t.name}: {t.description}. To use this tool please provide: `{t.requires}`\" for t in tools])\n        self._plan = dspy.ChainOfThought(Plan)\n        self._tool = dspy.ChainOfThought(\"task, context -&gt; tool_name, tool_argument\")\n        \n        print(self.tool_descriptions)\n    def plan(self, task:str, feedback:Optional[str]=None):\n        context = f\"Your role:{self.role}\\n Tools at your disposal:\\n{self.tool_descriptions}\"\n        if feedback:\n            context += f\"\\nPrevious feedback on your prior plan {feedback}\"\n        input_args = dict(\n            task=task,\n            context=context\n        )    \n        result = self._plan(**input_args)\n        return result.proposed_plan\n    def execute(self, task:str, use_tool:bool):\n        print(f\"executing {task}\")\n        if not use_tool:\n            return f\"{task} completed successfully\"\n            \n        res = self._tool(task=task, context=self.tool_descriptions)\n        t = res.tool_name\n        arg = res.tool_argument\n        if t in self.tools:\n            complete = self.tools[t].func(arg)\n            return complete\n        return \"Not done\"<\/code><\/pre>\n<p>\u603b\u4f53\u800c\u8a00\uff0c\u5bf9 Worker \u7c7b\u7684\u6539\u8fdb\u4f7f\u4ee3\u7406\u5e94\u7528\u7a0b\u5e8f\u66f4\u52a0\u667a\u80fd\u548c\u7075\u6d3b\uff0c\u4e3a\u66f4\u9ad8\u7ea7\u7684\u529f\u80fd\u5960\u5b9a\u4e86\u57fa\u7840<\/p>\n<p>\u540e\u7eed\u7ae0\u8282\u4e2d\u5c06\u4ecb\u7ecd\u5982\u4f55\u521b\u5efa\u4e13\u7528\u5de5\u5177\u3002<\/p>\n<h2>6\u3001\u521b\u5efa\u4e13\u7528\u5de5\u5177<\/h2>\n<p>\u5bf9\u4e8e\u52a9\u7406\uff0c\u6211\u4eec\u521b\u5efa\u4e86\u4e24\u4e2a\u5de5\u5177\uff1aemail_tool \u548c schedule_meeting_tool\u3002email_tool \u5141\u8bb8\u52a9\u7406\u53d1\u9001\u548c\u63a5\u6536\u7535\u5b50\u90ae\u4ef6\uff0c\u800c schedule_meeting_tool \u53ef\u7528\u4e8e\u5b89\u6392\u4f1a\u8bae\u3002\u8fd9\u4e24\u4e2a\u5de5\u5177\u90fd\u6709\u4e00\u4e2a\u540d\u79f0\u3001\u4e00\u4e2a\u63cf\u8ff0\u3001\u4e00\u4e2a\u6307\u5b9a\u6240\u9700\u8f93\u5165\u7684\u9700\u8981\u5b57\u6bb5\u548c\u4e00\u4e2a\u5b9a\u4e49\u5de5\u5177\u529f\u80fd\u7684\u51fd\u6570\u5b57\u6bb5\u3002<\/p>\n<pre><code>email_tool = Tool(\n    name=\"email\",\n    description=\"Send and receive emails\",\n    requires=\"email_address\",\n    func=lambda x: f\"Email sent to {x}\"\n)\nschedule_meeting_tool = Tool(\n    name=\"schedule meeting\",\n    description=\"Schedule meetings\",\n    requires=\"meeting_details\",\n    func=lambda x: f\"Meeting scheduled on {x}\"\n)<\/code><\/pre>\n<p>\u8bf7\u6ce8\u610f\uff0c\u6211\u4eec\u4e3a\u770b\u95e8\u4eba\u6dfb\u52a0\u4e86\u4e00\u4e2a\u8fb9\u7f18\u6848\u4f8b\uff0c\u4ed6\u4eec\u9700\u8981\u62a5\u544a\u7ef4\u62a4\u95ee\u9898\u3002<\/p>\n<pre><code>cleaning_supplies_tool = Tool(\n    name=\"cleaning supplies\",\n    description=\"List of cleaning supplies needed\",\n    requires=\"cleaning_area\",\n    func=lambda x: f\"Need supplies for {x}\"\n)\nmaintenance_report_tool = Tool(\n    name=\"maintenance report\",\n    description=\"Report maintenance issues\",\n    requires=\"issue_description\",\n    func=lambda x: f\"There's too much work for one person. I need help!\"\n)<\/code><\/pre>\n<p>\u5bf9\u4e8e\u8f6f\u4ef6\u5de5\u7a0b\u5e08\uff0c\u6211\u4eec\u63d0\u4f9b\u4e86\u4e00\u4e2a code_compiler_tool \u6765\u7f16\u8bd1\u4ee3\u7801\uff0c\u4ee5\u53ca\u4e00\u4e2a bug_tracker_tool \u6765\u8ddf\u8e2a\u548c\u62a5\u544a\u9519\u8bef\u3002<\/p>\n<pre><code>code_compiler_tool = Tool(\n    name=\"code compiler\",\n    description=\"Compile code\",\n    requires=\"source_code\",\n    func=lambda x: \"Code compiled successfully\"\n)\nbug_tracker_tool = Tool(\n    name=\"bug tracker\",\n    description=\"Track and report bugs\",\n    requires=\"bug_details\",\n    func=lambda x: f\"Bug reported: {x}\"\n)<\/code><\/pre>\n<p>\u6700\u540e\uff0c\u6211\u4eec\u4e3a\u53a8\u5e08\u521b\u5efa\u4e86\u5de5\u5177\uff0c\u5305\u62ec\u7528\u4e8e\u67e5\u627e\u98df\u8c31\u7684 recipe_lookup_tool \u548c\u7528\u4e8e\u68c0\u67e5\u53a8\u623f\u5e93\u5b58\u7684 kitchen_inventory_tool\u3002<\/p>\n<pre><code>recipe_lookup_tool = Tool(\n    name=\"recipe lookup\",\n    description=\"Look up recipes\",\n    requires=\"dish_name\",\n    func=lambda x: f\"Recipe for {x} found\"\n)\nkitchen_inventory_tool = Tool(\n    name=\"kitchen inventory\",\n    description=\"Check kitchen inventory\",\n    requires=\"ingredient\",\n    func=lambda x: f\"Inventory checked for {x}\"\n)<\/code><\/pre>\n<p>\u5b9a\u4e49\u8fd9\u4e9b\u4e13\u7528\u5de5\u5177\u540e\uff0c\u6211\u4eec\u5c06\u5b83\u4eec\u5206\u914d\u7ed9\u76f8\u5e94\u7684\u5de5\u4eba\u3002\u8fd9\u6837\uff0c\u6bcf\u4e2a\u5de5\u4eba\u90fd\u53ef\u4ee5\u8bbf\u95ee\u6267\u884c\u7279\u5b9a\u4efb\u52a1\u6240\u9700\u7684\u5de5\u5177\u3002<\/p>\n<pre><code>workers = [\n    Worker2(\"assistant\", [email_tool, schedule_meeting_tool]),\n    Worker2(\"janitor\", [cleaning_supplies_tool, maintenance_report_tool]),\n    Worker2(\"software engineer\", [code_compiler_tool, bug_tracker_tool]),\n    Worker2(\"cook\", [recipe_lookup_tool, kitchen_inventory_tool])\n]<\/code><\/pre>\n<p>\u901a\u8fc7\u63d0\u4f9b\u8fd9\u4e9b\u793a\u4f8b\uff0c\u6211\u4eec\u6f14\u793a\u4e86\u5982\u4f55\u521b\u5efa\u5404\u79cd\u5de5\u5177\u6765\u652f\u6301\u4ee3\u7406\u5e94\u7528\u7a0b\u5e8f\u4e2d\u7684\u4e0d\u540c\u89d2\u8272\u548c\u529f\u80fd\u3002<\/p>\n<h2>7\u3001\u89e3\u6790\u8ba1\u5212<\/h2>\n<p>\u6709\u4eba\u4f1a\u56e0\u4e3a\u6211\u5199\u8fd9\u4e2a\u800c\u8be7\u5f02\uff0c\u4f46\u662f\u662f\u7684\u2026\u2026\u6211\u4f7f\u7528\u4e86 \u3002Instructor \u975e\u5e38\u9002\u5408\u8fd9\u79cd\u4e8b\u60c5\u3002\u6211\u53ef\u4ee5\u7528\u6b63\u5219\u8868\u8fbe\u5f0f\u6216\u5b57\u7b26\u4e32\u683c\u5f0f\u89e3\u6790\u8ba1\u5212\uff0c\u4f46 Instructor \u5141\u8bb8\u6211\u505a\u540c\u6837\u7684\u4e8b\u60c5\uff0c\u800c\u4e0d\u5fc5\u5904\u7406\u7ec6\u8282\/\u7ec6\u5fae\u5dee\u522b\u3002<\/p>\n<p>\u4e3a\u4e86\u5b9e\u9645\u89e3\u6790\u8ba1\u5212\uff0c\u6211\u4eec\u5c06\u4f7f\u7528 Instructor \u5e93\uff0c\u5b83\u63d0\u4f9b\u4e86\u4e00\u4e2a\u65b9\u4fbf\u7684\u754c\u9762\uff0c\u7528\u4e8e\u4e0e GPT-3.5 \u7b49\u5927\u578b\u8bed\u8a00\u6a21\u578b\u8fdb\u884c\u4ea4\u4e92\u3002get_plan \u51fd\u6570\u63a5\u6536\u8ba1\u5212\u6587\u672c\u548c\u4e00\u4e9b\u5176\u4ed6\u4e0a\u4e0b\u6587\uff0c\u7136\u540e\u4f7f\u7528 Instructor \u751f\u6210\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u7684 ParsedPlan \u5bf9\u8c61\u3002\u8fd9\u4f7f\u6211\u4eec\u80fd\u591f\u8f7b\u677e\u5730\u4ece\u8ba1\u5212\u4e2d\u63d0\u53d6\u5355\u4e2a\u4efb\u52a1\u548c\u5b50\u4efb\u52a1\uff0c\u4e3a\u4ee3\u7406\u5e94\u7528\u7a0b\u5e8f\u4e2d\u7684\u540e\u7eed\u6b65\u9aa4\u5960\u5b9a\u57fa\u7840\u3002<\/p>\n<pre><code>from pydantic import Field\nimport instructor\nfrom openai import OpenAI\n_client = instructor.from_openai(OpenAI(base_url=\"http:\/\/0.0.0.0:4000\/\"))\nclass SubTask(BaseModel):\n    action:str\n    assignee: str\n    requires_tool: bool = Field(..., description=\"Does this require the use of a specific tool?\")\n                               \nclass Task(BaseModel):\n    sub_tasks:List[SubTask]\n    \nclass ParsedPlan(BaseModel):\n    tasks: List[Task]\ndef get_plan(plan:str, context:str):\n    return _client.chat.completions.create(\n        response_model=ParsedPlan,\n        model=\"gpt-3.5-turbo\",\n        messages=[\n            dict(role=\"system\", content=\"You help parse markdown into a structured format.\"),\n            dict(role=\"user\", content=f\"Here is the context about the plan including the available tools: \\n{context} \\n\\n The plan: \\n\\n {plan}\")\n        ],\n    )<\/code><\/pre>\n<h2>8\u3001\u5b9e\u73b0 Boss \u7c7b<\/h2>\n<p>Boss \u662f\u6211\u4eec\u4ee3\u7406\u5e94\u7528\u7a0b\u5e8f\u4e2d\u7684\u4e00\u4e2a\u5173\u952e\u7ec4\u4ef6\uff0c\u8d1f\u8d23\u76d1\u7763\u4ee3\u7406\uff08\u6216\u5de5\u4f5c\u8005\uff09\u7684\u5de5\u4f5c\u5e76\u786e\u4fdd\u6b63\u786e\u5206\u914d\u548c\u6267\u884c\u4efb\u52a1\u3002\u8ba9\u6211\u4eec\u6df1\u5165\u4e86\u89e3 Boss \u7c7b\u7684\u5b9e\u73b0\u3002<\/p>\n<p>\u6211\u4eec\u4f7f\u7528\u57fa\u672c\u4e0a\u4e0b\u6587\u3001\u76f4\u63a5\u62a5\u544a\uff08\u5de5\u4f5c\u8005\uff09\u5217\u8868\u548c\u8bed\u8a00\u6a21\u578b\u521d\u59cb\u5316\u201cBoss\u201d\u5bf9\u8c61\u3002\u57fa\u672c\u4e0a\u4e0b\u6587\u4e3a Boss \u7684\u51b3\u7b56\u63d0\u4f9b\u4e86\u6574\u4f53\u4e0a\u4e0b\u6587\uff0c\u76f4\u63a5\u62a5\u544a\u5b58\u50a8\u5728\u5b57\u5178\u4e2d\u4ee5\u65b9\u4fbf\u8bbf\u95ee\u3002<\/p>\n<p>\u6211\u4eec\u8fd8\u751f\u6210\u4e86\u4e00\u4efd\u5173\u4e8e Boss \u80fd\u529b\u7684\u62a5\u544a\uff0c\u6bcf\u4e2a\u76f4\u63a5\u62a5\u544a\u5e76\u5c06\u5176\u5b58\u50a8\u5728 report_capabilities \u5c5e\u6027\u4e2d &#8211; \u8fd9\u57fa\u672c\u4e0a\u53ea\u662f\u8ba9\u201c\u8001\u677f\u201d\u4e86\u89e3\u5458\u5de5\u53ef\u4ee5\u505a\u4ec0\u4e48\u3002<\/p>\n<pre><code>class Boss(dspy.Module):\n    def __init__(self, base_context:str, direct_reports=List, lm=bss):\n        self.base_context = base_context\n        self._plan = dspy.ChainOfThought(\"task, context -&gt; assignee\")\n        self._approve = dspy.ChainOfThought(\"task, context -&gt; approve\")\n        self._critique = dspy.ChainOfThought(\"task, context -&gt; critique\")\n        self.reports = dict((d.role,d) for d in direct_reports)\n        self.lm = lm\n        report_capabilities = []\n        for r in direct_reports:\n            report_capabilities.append(f\"{r.role} has the follow tools:\\n{r.tool_descriptions}\")\n        self.report_capabilities = \"\\n\".join(report_capabilities) \n        print(self.report_capabilities)\n    # The `critique` method allows the Boss to provide feedback on a proposed plan. It takes the task, the proposed plan, and an optional extra context as input, and uses the `_critique` chain of thought to generate a critique.\n    def critique(self, task:str, plan:str, extra_context:Optional[str]=None):\n        context=self.base_context\n        if extra_context:\n            context += \"\\n\"\n            context += extra_context\n        \n        crit_args = dict(\n            context=context,\n            task=task,\n            proposed_plan=plan)\n        with dspy.context(lm=self.lm):\n            result = self._critique(**crit_args)\n        return result.critique\n    # The `approve` method allows the Boss to approve a proposed plan. It takes the task, the proposed plan, and an optional extra context as input, and uses the `_approve` chain of thought to generate an approval decision.\n    def approve(self, task:str, plan:str, extra_context:Optional[str]=None):\n        context=self.base_context + \"\\n You only approve plans after 2 iterations\"\n        if extra_context:\n            context += \"\\n\"\n            context += extra_context\n        \n        approval_args = dict(\n            context=context,\n            task=task,\n            proposed_plan=plan)\n        with dspy.context(lm=self.lm):\n            result = self._approve(**approval_args)\n        return result.approve        \n    # The `plan` method is the core of the Boss class. It takes a task as input and uses the `_plan` chain of thought to determine which of the direct reports should be assigned to the task. The method then iterates through the assignment process, providing feedback and critiques until a suitable assignee is found. Once the assignee is determined, the Boss calls the `plan` method of the assigned worker to generate a plan for the task. The Boss then approves the plan, providing critiques and feedback as necessary, until the plan is approved.\n    def plan(self, task:str):\n        # note: this function is a mess, don't judge me\n        # I haven't built an agent framework before, so I'm not sure of the ergonomics\n        # and best approach\n        context=self.base_context + f\"Here are your direct report capabilities: {self.report_capabilities}\"\n        \n        plan_args = dict(\n            context = context,\n            task=f\"Which person should take on the following task: {task}\"\n        )\n        assignee = self._plan(**plan_args).assignee\n        is_assigned = assignee.lower() in self.reports\n        report = None\n        print(\"assigning\")\n        for x in range(3):\n            if is_assigned:\n                report = self.reports[assignee]\n            else:\n                context += f\"\\n\\n you tried to assign to {assignee} but that's not a valid one. Think carefully and assign the proper report\"\n                plan_args = dict(\n                    context = context,\n                    task=f\"Which person should take on the following task: {task}\"\n                )\n                assignee = self._plan(**plan_args).assignee\n        assert report, \"Failed to assign\"\n        print(\"assigning complete\")\n        print(\"planning\")\n        reports_plan = report.plan(task)\n        with dspy.context(lm=self.lm):\n            approval = self.approve(task, reports_plan)\n            is_approved = \"yes\" in approval.lower() and \"no\" not in approval.lower()\n        \n        for x in range(2): # I created cycles to simulate failures, this might be a while loop in production\n            print(f\"Cycle {x}: {approval}\")\n            if is_approved:\n                break\n            feedback = self.critique(task, reports_plan)\n            feedback = f\"Prior plan: {reports_plan}\\n Boss's Feedback: {feedback}\"\n            print(feedback)\n            reports_plan = report.plan(task, feedback)\n            print(\"new plan===&gt;\")\n            print(reports_plan)\n            complete = f\"{feedback}\\n\\nNew plan:\\n\\n{reports_plan}\"\n            approval = self.approve(task, reports_plan)\n            is_approved = \"yes\" in approval.lower()\n        print(\"Now working\")\n        parsed_plan = get_plan(reports_plan, f\"The assignee is: {assignee}. The rest of the team is: {self.report_capabilities}\")\n        results = []\n        for task in parsed_plan.tasks:\n            for sub_task in task.sub_tasks:    \n                task_result = self.reports[sub_task.assignee].execute(sub_task.action, sub_task.requires_tool)\n                results.append(f\"\\n{task_result}: {sub_task.action}\\n\")\n        print(\"end result\")\n        print(\"\\n\".join(results))<\/code><\/pre>\n<p>Boss \u7c7b\u7684\u8fd9\u4e2a\u5b9e\u73b0\u6f14\u793a\u4e86 Boss \u548c\u5de5\u4eba\u4e4b\u95f4\u7684\u4ea4\u4e92\uff0c\u4ee5\u53ca Boss \u5982\u4f55\u63d0\u4f9b\u76d1\u7763\u548c\u6307\u5bfc\u4ee5\u786e\u4fdd\u6b63\u786e\u89c4\u5212\u548c\u6267\u884c\u4efb\u52a1\u3002<\/p>\n<p>\u8fd9\u91cc\u6709\u66f4\u591a\u590d\u6742\u7684\u673a\u4f1a\uff0c\u4f46\u6211\u4eec\u53ea\u662f\u5728\u6784\u5efa\u4e00\u4e2a\u4ee3\u7406\u6846\u67b6\u3002<\/p>\n<h2>9\u3001\u5c06\u5b83\u4eec\u6574\u5408\u5728\u4e00\u8d77<\/h2>\n<p>\u73b0\u5728\u6211\u4eec\u5df2\u7ecf\u4ecb\u7ecd\u4e86\u4ee3\u7406\u5e94\u7528\u7a0b\u5e8f\u7684\u5173\u952e\u7ec4\u4ef6\uff0c\u8ba9\u6211\u4eec\u5c06\u5b83\u4eec\u653e\u5728\u4e00\u8d77\u5e76\u5728\u52a8\u4f5c\u3002\u6211\u4eec\u5c06\u521b\u5efa\u4e00\u4e2a Boss \u7c7b\u7684\u5b9e\u4f8b\uff0c\u5e76\u6f14\u793a\u5982\u4f55\u4f7f\u7528 plan \u65b9\u6cd5\u5c06\u4efb\u52a1\u5206\u914d\u7ed9\u5de5\u4eba\u5e76\u6267\u884c\u8ba1\u5212\u3002<\/p>\n<p>\u9996\u5148\uff0c\u6211\u4eec\u5c06\u521b\u5efa\u4e00\u4e2a Boss \u5b9e\u4f8b\u5e76\u4f20\u5165\u6211\u4eec\u4e4b\u524d\u5b9a\u4e49\u7684\u5de5\u4eba\uff1a<\/p>\n<pre><code>b = Boss(\"You are a boss that manages a team of people, you're responsible for them doing well and completing the tasks you are given.\", workers)\n<\/code><\/pre>\n<p>\u5728\u8fd9\u4e2a\u4f8b\u5b50\u4e2d\uff0c\u6211\u4eec\u4f20\u5165\u4e86\u8001\u677f\u7684\u89d2\u8272\u548c\u804c\u8d23\u7684\u63cf\u8ff0\uff0c\u4ee5\u53ca\u8001\u677f\u5c06\u7ba1\u7406\u7684\u5de5\u4eba\u5217\u8868\u3002<\/p>\n<p>461\uff1a\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u8c03\u7528\u8001\u677f\u5b9e\u4f8b\u4e2d\u7684 plan \u65b9\u6cd5\u5e76\u63d0\u4f9b\u8981\u5b8c\u6210\u7684\u4efb\u52a1\uff1a<\/p>\n<pre><code>b.plan(\"clean up the yard\")<\/code><\/pre>\n<p>\u5f53\u6211\u4eec\u8c03\u7528 plan \u65b9\u6cd5\u65f6\uff0c\u8001\u677f\u5c06\u89e3\u6790\u4efb\u52a1\uff0c\u5c06\u5b50\u4efb\u52a1\u5206\u914d\u7ed9\u9002\u5f53\u7684\u5de5\u4eba\uff0c\u5e76\u534f\u8c03\u8ba1\u5212\u7684\u6267\u884c\u3002<\/p>\n<p>\u8001\u677f\u4e3a\u5de5\u4eba\u63d0\u4f9b\u6709\u5173\u8ba1\u5212\u7684\u53cd\u9988\u3002<\/p>\n<p>\u8fd9\u91cc\u5f88\u9177\u7684\u662f\uff0c\u8001\u677f\u6bd4\u5de5\u4eba\u62e5\u6709\u66f4\u591a\u7684\u80cc\u666f\u4fe1\u606f\uff08\u4f8b\u5982\uff0c\u66f4\u5f3a\u5927\u7684\u6a21\u578b\uff09\u3002<\/p>\n<p>\u6b64\u793a\u4f8b\u6f14\u793a\u4e86\u6211\u4eec\u7684\u4ee3\u7406\u5e94\u7528\u7a0b\u5e8f\u7684\u6838\u5fc3\u529f\u80fd\uff0c\u4f46\u4ecd\u6709\u5f88\u5927\u7684\u4f18\u5316\u548c\u6269\u5c55\u6f5c\u529b\u3002\u6211\u4eec\u5c06\u5728\u7ed3\u8bba\u4e2d\u63a2\u8ba8\u5176\u4e2d\u7684\u4e00\u4e9b\u53ef\u80fd\u6027\u3002<\/p>\n<h2>10\u3001\u7ed3\u675f\u8bed<\/h2>\n<p>\u597d\u5427\uff0c\u8fd9\u82b1\u4e86\u51e0\u4e2a\u5c0f\u65f6\u624d\u5b8c\u6210\u3002\u6211\u4e0d\u786e\u5b9a\u8fd9\u662f\u5426\u662f\u6700\u597d\u7684\u65b9\u6cd5\uff0c\u4f46\u8fd9\u662f\u4e00\u79cd\u65b9\u6cd5\u3002<\/p>\n<p>\u8fd9\u4e00\u5207\u90fd\u5f88\u68d2\uff0c\u8fd9\u91cc\u6ca1\u6709\u4ec0\u4e48\u75af\u72c2\u7684\u3002\u6211\u6ca1\u6709\u5c55\u793a\u4f46\u6211\u5e0c\u671b\u6709\u65f6\u95f4\u5c55\u793a\u7684\u4e1c\u897f\u662f\u901a\u8fc7\u4f18\u5316\u201c\u8bad\u7ec3\u201d\u8fd9\u4e9b\u4ee3\u7406\u7684\u80fd\u529b\u3002\u4f60\u53ef\u4ee5\u60f3\u8c61\u8fd0\u884c\u4e00\u4e2a DSPy \u4f18\u5316\uff0c\u4f7f\u7528 bootstrap \u4f18\u5316\u6bcf\u4e2a\u6a21\u578b\u3002<\/p>\n<p>\u8fd9\u9700\u8981\u505a\u66f4\u591a\u7684\u5de5\u4f5c\uff0c\u4f46\u8fd9\u5c31\u662f DSPy \u7684\u771f\u6b63\u529b\u91cf\u6240\u5728\u3002<\/p>\n<blockquote><p>\n  \u53e6\u4e00\u79cd\u65b9\u6cd5\n<\/p><\/blockquote>\n<p>LLMClient \u662f Typescript \u4e2d\u57fa\u4e8e DSPy \u7684\u6846\u67b6\u3002\u5b83\u4ee5\u4e0d\u540c\u7684\u65b9\u5f0f\u89e3\u51b3\u95ee\u9898\uff0c\u4f46\u5b83\u662f\u4e00\u4e2a\u5f88\u597d\u7684\u4f8b\u5b50\uff0c\u8bf4\u660e\u4f60\u53ef\u4ee5\u5982\u4f55\u505a\u5230\u8fd9\u4e00\u70b9\u3002<\/p>\n<p>\u901a\u8fc7\u57fa\u672c\u4e0a\u4e3a\u6bcf\u4e2a\u4ee3\u7406\u63d0\u4f9b\u5355\u4e2a\u7b7e\u540d\uff0c\u4f60\u53ef\u4ee5\u521b\u5efa\u4e00\u4e2a\u7a0d\u5fae\u7b80\u5355\u7684\u7cfb\u7edf\u3002\u6211\u5728\u7f16\u5199\u81ea\u5df1\u7684\u5185\u5bb9\u540e\u53d1\u73b0\u4e86\u8fd9\u4e00\u70b9\uff0c\u4f46\u5982\u679c\u8bfb\u8005\u611f\u5174\u8da3\u7684\u8bdd\uff0c\u4e00\u5b9a\u8981\u67e5\u770b\u4e00\u4e0b\u3002<\/p>\n<pre><code>const researcher = new Agent(ai, {\n  name: 'researcher',\n  description: 'Researcher agent',\n  signature: `physicsQuestion \"physics questions\" -&gt; answer \"reply in bullet points\"`\n});\nconst summarizer = new Agent(ai, {\n  name: 'summarizer',\n  description: 'Summarizer agent',\n  signature: `text \"text so summarize\" -&gt; shortSummary \"summarize in 5 to 10 words\"`\n});\nconst agent = new Agent(ai, {\n  name: 'agent',\n506: description: 'An agent to research complex topics'\n  signature: `question -&gt; answer`,\n  agents: [researcher, summarizer]\n});\nagent.forward({ questions: \"How many atoms are there in the universe\" })<\/code><\/pre>\n<blockquote><p>\n  \u5b9e\u9645\u7ed3\u8bba\n<\/p><\/blockquote>\n<p>\u5728\u672c\u6559\u7a0b\u4e2d\uff0c\u6211\u4eec\u901a\u8fc7\u6784\u5efa\u4e00\u4e2a\u57fa\u672c\u7684\u4ee3\u7406\u5e94\u7528\u7a0b\u5e8f\u8fc8\u51fa\u4e86\u8fdb\u5165 DSPy \u4ee3\u7406\u4e16\u754c\u7684\u7b2c\u4e00\u6b65\u3002\u6211\u501f\u9274\u4e86\u4e00\u4e9b\u73b0\u6709\u7684\u4ee3\u7406\u6846\u67b6\uff08\u5982 CrewAI\uff09\u3002<\/p>\n<p>DSPy \u7684\u4f4e\u62bd\u8c61\u5f00\u9500\u4e3a\u6211\u4eec\u5728\u8bbe\u8ba1\u548c\u5b9a\u5236\u4ee3\u7406\u5e94\u7528\u7a0b\u5e8f\u65b9\u9762\u63d0\u4f9b\u4e86\u5f88\u5927\u7684\u7075\u6d3b\u6027\uff0c\u4f46\u8fd9\u4e5f\u610f\u5473\u7740\u66f4\u591a\u7684\u51b3\u7b56\u3002<\/p>\n<p>\u50cf CrewAI \u8fd9\u6837\u7684\u4e1c\u897f\u4f1a\u201c\u611f\u89c9\u201d\u7b80\u5355\u5f97\u591a\u3002<\/p>\n<p>\u867d\u7136\u6211\u4eec\u5df2\u7ecf\u6db5\u76d6\u4e86\u5f88\u591a\u5185\u5bb9\uff0c\u4f46\u4ecd\u6709\u5927\u91cf\u7684\u63a2\u7d22\u548c\u6539\u8fdb\u7a7a\u95f4<\/p>\n<p>\u672c\u6559\u7a0b\u7684\u5999\u5904\u5728\u4e8e\uff0c\u60a8\u53ef\u4ee5\u901a\u8fc7\u9605\u8bfb\u548c\u4f7f\u7528\u4ee3\u7801\u6765\u5b66\u5230\u5f88\u591a\u4e1c\u897f\u3002<\/p>\n<p>\u4e0d\u90a3\u4e48\u5bb9\u6613\u7684\u90e8\u5206\u662f\uff0c\u8981\u521b\u5efa\u4e00\u4e2a\u771f\u6b63\u5f3a\u5927\u4e14\u529f\u80fd\u5f3a\u5927\u7684\u4ee3\u7406\u5e94\u7528\u7a0b\u5e8f\uff0c\u8fd8\u6709\u5f88\u591a\u5de5\u4f5c\u8981\u505a\u3002\u4f46\u8fd9\u4e5f\u662f\u4e50\u8da3\u7684\u4e00\u90e8\u5206\uff0c\u5bf9\u5427\uff1f<\/p>\n<hr>\n","protected":false},"excerpt":{"rendered":"<p>\u8fd9\u7bc7\u6587\u7ae0\u5c06\u9996\u5148\u4ecb\u7ecd\u5982\u4f55\u4f7f\u7528 DSPy \u4ece\u5934\u5f00\u59cb\u200b\u200b\u521b\u5efa\u4ee3\u7406\u3002 \u672c\u6587\u7684\u76ee\u7684\u662f\u6559\u80b2\uff0c\u4e0d\u8981\u5c06\u5176\u7528\u4e8e\u751f\u4ea7\u3002\u8fd9\u662f\u5bf9\u5982\u4f55\u5904\u7406\u5b83\u7684\u63a2\u7d22\u3002 \u6211\u6240\u8bf4\u7684\u4ee3\u7406\u662f\u4ec0\u4e48\u610f\u601d\uff1f\u884c\u4e1a\u4e2d\u6709\u5f88\u591a\u4e0d\u540c\u7684\u5b9a\u4e49\uff0c\u6211\u4f7f\u7528&#8230; \u53ef\u4ee5\u505a\u4e8b\u7684\u72ec\u7acb\uff08\u76f8\u5bf9\uff09\u4ee3\u7406 \u4ed6\u4eec\u53ef\u4ee5\u4f7f\u7528\u5de5\u5177\u3002 \u4ed6\u4eec\u53ef\u4ee5\u8ba1\u5212\u548c\u6267\u884c\u4efb\u52a1\u3002 \u5728\u8fd9\u7bc7\u535a\u6587\u4e2d\uff0c\u6211\u5c06\u5c1d\u8bd5\u5728 DSPy \u4e2d\u6784\u5efa\u4ee3\u7406\u3002\u8fd9\u5b9e\u9645\u4e0a\u66f4\u50cf\u662f\u4e00\u4e2a\u4ee3\u7406\u201c\u6846\u67b6\u201d\uff0c\u4f46\u4f60\u660e\u767d\u6211\u7684\u610f\u601d\u3002 \u672c\u6559\u7a0b\u7684\u76ee\u6807\u662f\u6307\u5bfc\u4f60\u5b8c\u6210\u4f7f\u7528 DSPy \u6784\u5efa\u7b80\u5355\u4ee3\u7406\u5e94\u7528\u7a0b\u5e8f\u7684\u8fc7\u7a0b\u3002\u7531\u4e8e DSPy \u4e0d\u662f\u4ee3\u7406\u6846\u67b6\uff0c\u56e0\u6b64\u8fd9\u5b9e\u9645\u4e0a\u66f4\u50cf\u662f\u4e00\u7bc7\u201cDSPy \u4e3a\u4f60\u63d0\u4f9b\u4ec0\u4e48\u548c\u4e0d\u4e3a\u4f60\u63d0\u4f9b\u4ec0\u4e48\u201d\u7c7b\u578b\u7684\u5e16\u5b50\u3002 \u5728\u672c\u7bc7\u6587\u7ae0\u7ed3\u675f\u65f6\uff0c\u4f60\u5c06\u4e86\u89e3\u8ba1\u5212\u3001\u5de5\u4f5c\u8005\u548c\u5de5\u5177\u7b49\u5173\u952e\u6982\u5ff5\uff0c\u4ee5\u53ca\u5b83\u4eec\u5982\u4f55\u534f\u540c\u5de5\u4f5c\u4ee5\u521b\u5efa\u529f\u80fd\u6027\u4ee3\u7406\u7cfb\u7edf\u3002 \u6ce8\u610f\uff1a\u8fd9\u4e0e reAct \u4e4b\u7c7b\u7684\u4e1c\u897f\u5b8c\u5168\u4e0d\u540c\u3002\u8fd9\u662f\u6211\u4eec\u5728\u8f83\u4f4e\u7ea7\u522b\u4ece\u5934\u5f00\u59cb\u5b9a\u4e49\u4ee3\u7406\u3002 1\u3001\u8bbe\u7f6e\u73af\u5883 \u6211\u4eec\u5c06\u9996\u5148\u4e3a\u6211\u4eec\u7684 DSPy \u4ee3\u7406\u5e94\u7528\u7a0b\u5e8f\u8bbe\u7f6e\u5fc5\u8981\u7684\u73af\u5883\u3002\u9996\u5148\uff0c\u6211\u4eec\u5c06\u52a0\u8f7d\u81ea\u52a8\u91cd\u65b0\u52a0\u8f7d\u6269\u5c55\u4ee5\u786e\u4fdd\u6211\u4eec\u7684\u4ee3\u7801\u66f4\u6539\u4f1a\u81ea\u52a8\u91cd\u65b0\u52a0\u8f7d\u3002 \u6211\u4eec\u5c06\u52a0\u8f7d\u73af\u5883\u53d8\u91cf\uff0c\u5b9a\u4e49\u6211\u4eec\u7684\u6a21\u578b\u3002 from dotenv import load_dotenv load_dotenv() \u6211\u6b63\u5728\u4f7f\u7528 LLMClient\uff0c\u56e0\u6b64\u6211\u76f8\u5e94\u5730\u8bbe\u7f6e\u4e86\u6211\u7684 api_base\u3002 import dspy import instructor wrkr = dspy.OpenAI(model=&#8217;gpt-3.5-turbo&#8217;, max_tokens=1000, api_base=&#8217;http:\/\/0.0.0.0:4000&#8242;, model_type=&#8221;chat&#8221;) bss = dspy.OpenAI(model=&#8217;gpt-4-turbo&#8217;, max_tokens=1000, api_base=&#8217;http:\/\/0.0.0.0:4000&#8242;, model_type=&#8221;chat&#8221;) dspy.configure(lm=wrkr) # our default from [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"closed","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[13],"tags":[],"class_list":["post-53744","post","type-post","status-publish","format-standard","hentry","category-ai"],"_links":{"self":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/posts\/53744","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/comments?post=53744"}],"version-history":[{"count":0,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/posts\/53744\/revisions"}],"wp:attachment":[{"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/media?parent=53744"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/categories?post=53744"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/fwq.ai\/blog\/wp-json\/wp\/v2\/tags?post=53744"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}