{"id":21471,"date":"2025-02-19T16:38:57","date_gmt":"2025-02-19T08:38:57","guid":{"rendered":"https:\/\/www.aisharenet.com\/?p=21471"},"modified":"2025-02-19T16:38:57","modified_gmt":"2025-02-19T08:38:57","slug":"weiruan-ai-agent-rua-2","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/en\/weiruan-ai-agent-rua-2\/","title":{"rendered":"\u5fae\u8f6f AI Agent \u5165\u95e8\u8bfe\u7a0b\uff1a\u63a2\u7d22 AI Agent \u6846\u67b6"},"content":{"rendered":"<p>AI Agent \u6846\u67b6\u662f\u65e8\u5728\u7b80\u5316 AI Agent \u7684\u521b\u5efa\u3001\u90e8\u7f72\u548c\u7ba1\u7406\u7684\u8f6f\u4ef6\u5e73\u53f0\u3002\u8fd9\u4e9b\u6846\u67b6\u4e3a\u5f00\u53d1\u8005\u63d0\u4f9b\u4e86\u9884\u6784\u5efa\u7684\u7ec4\u4ef6\u3001\u62bd\u8c61\u548c\u5de5\u5177\uff0c\u4ece\u800c\u7b80\u5316\u590d\u6742 AI \u7cfb\u7edf\u7684\u5f00\u53d1\u8fc7\u7a0b\u3002<\/p>\n<p>\u8fd9\u4e9b\u6846\u67b6\u901a\u8fc7\u4e3a AI Agent 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Semantic Kernel \u793a\u4f8b\r\nChatHistory chatHistory = [];\r\nchatHistory.AddUserMessage(\"I'd like to go To New York\");\r\n\/\/ \u5b9a\u4e49\u4e00\u4e2a\u5305\u542b\u9884\u8ba2\u65c5\u884c\u529f\u80fd\u7684\u63d2\u4ef6\r\npublic class BookTravelPlugin(\r\nIPizzaService pizzaService,\r\nIUserContext userContext,\r\nIPaymentService paymentService)\r\n{\r\n[KernelFunction(\"book_flight\")]\r\n[Description(\"Book travel given location and date\")]\r\npublic async Task&lt;Booking&gt; BookFlight(\r\nDateTime date,\r\nstring location,\r\n)\r\n{\r\n\/\/ \u6839\u636e\u65e5\u671f\u3001\u5730\u70b9\u9884\u8ba2\u65c5\u884c\r\n}\r\n}\r\nIKernelBuilder kernelBuilder = new KernelBuilder();\r\nkernelBuilder..AddAzureOpenAIChatCompletion(\r\ndeploymentName: \"NAME_OF_YOUR_DEPLOYMENT\",\r\napiKey: \"YOUR_API_KEY\",\r\nendpoint: \"YOUR_AZURE_ENDPOINT\"\r\n);\r\nkernelBuilder.Plugins.AddFromType&lt;BookTravelPlugin&gt;(\"BookTravel\");\r\nKernel kernel = kernelBuilder.Build();\r\n\/*\r\n\u5728\u540e\u53f0\uff0c\u5b83\u8bc6\u522b\u8981\u8c03\u7528\u7684\u5de5\u5177\u3001\u5b83\u5df2\u7ecf\u5177\u6709\u7684\u53c2\u6570 (location) \u548c\u5b83\u9700\u8981\u7684\u53c2\u6570 (date)\r\n{\r\n\"tool_calls\": [\r\n{\r\n\"id\": \"call_abc123\",\r\n\"type\": \"function\",\r\n\"function\": {\r\n\"name\": \"BookTravelPlugin-book_flight\",\r\n\"arguments\": \"{\\n\\\"location\\\": \\\"New York\\\",\\n\\\"date\\\": \\\"\\\"\\n}\"\r\n}\r\n}\r\n]\r\n*\/\r\nChatResponse response = await chatCompletion.GetChatMessageContentAsync(\r\nchatHistory,\r\nexecutionSettings: openAIPromptExecutionSettings,\r\nkernel: kernel)\r\nConsole.WriteLine(response);\r\nchatHistory.AddAssistantMessage(response);\r\n\/\/ AI \u54cd\u5e94\uff1a\"Before I can book your flight, I need to know your departure date. When are you planning to travel?\"\r\n\/\/ \u4e5f\u5c31\u662f\u8bf4\uff0c\u5728\u524d\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u5b83\u627e\u51fa\u4e86\u8981\u8c03\u7528\u7684\u5de5\u5177\uff0c\u5b83\u5df2\u7ecf\u62e5\u6709\u7684\u53c2\u6570 (location) \u4ee5\u53ca\u5b83\u4ece\u7528\u6237\u8f93\u5165\u4e2d\u9700\u8981\u7684\u53c2\u6570 (date)\uff0c\u6b64\u65f6\u5b83\u6700\u7ec8\u4f1a\u5411\u7528\u6237\u8be2\u95ee\u7f3a\u5931\u7684\u4fe1\u606f\r\n<\/code><\/pre>\n<p>\u4ece\u6b64\u793a\u4f8b\u4e2d\u60a8\u53ef\u4ee5\u770b\u5230\u5982\u4f55\u5229\u7528\u9884\u6784\u5efa\u7684\u89e3\u6790\u5668\u4ece\u7528\u6237\u8f93\u5165\u4e2d\u63d0\u53d6\u5173\u952e\u4fe1\u606f\uff0c\u4f8b\u5982\u822a\u73ed\u9884\u8ba2\u8bf7\u6c42\u7684\u51fa\u53d1\u5730\u3001\u76ee\u7684\u5730\u548c\u65e5\u671f\u3002\u8fd9\u79cd\u6a21\u5757\u5316\u65b9\u6cd5\u4f7f\u60a8\u53ef\u4ee5\u4e13\u6ce8\u4e8e\u9ad8\u7ea7\u903b\u8f91\u3002<\/p>\n<h3>\u5229\u7528\u534f\u4f5c\u5de5\u5177<\/h3>\n<p><a href=\"https:\/\/www.kdjingpai.com\/crewai\/\">CrewAI<\/a> \u548c Microsoft <a href=\"https:\/\/www.kdjingpai.com\/autogen-2\/\">AutoGen<\/a> \u7b49\u6846\u67b6\u4fc3\u8fdb\u4e86\u591a\u4e2a\u53ef\u4ee5\u534f\u540c\u5de5\u4f5c\u7684 Agent \u7684\u521b\u5efa\u3002<\/p>\n<p><strong>\u56e2\u961f\u5982\u4f55\u4f7f\u7528\u8fd9\u4e9b<\/strong>\uff1a\u56e2\u961f\u53ef\u4ee5\u8bbe\u8ba1\u5177\u6709\u7279\u5b9a\u89d2\u8272\u548c\u4efb\u52a1\u7684 Agent\uff0c\u4f7f\u4ed6\u4eec\u80fd\u591f\u6d4b\u8bd5\u548c\u6539\u8fdb\u534f\u4f5c\u5de5\u4f5c\u6d41\u7a0b\u5e76\u63d0\u9ad8\u6574\u4f53\u7cfb\u7edf\u6548\u7387\u3002<\/p>\n<p><strong>\u5b83\u5728\u5b9e\u8df5\u4e2d\u5982\u4f55\u5de5\u4f5c<\/strong>\uff1a\u60a8\u53ef\u4ee5\u521b\u5efa\u4e00\u4e2a Agent \u56e2\u961f\uff0c\u5176\u4e2d\u6bcf\u4e2a Agent \u90fd\u6709\u4e00\u4e2a\u4e13\u95e8\u7684\u529f\u80fd\uff0c\u4f8b\u5982\u6570\u636e\u68c0\u7d22\u3001\u5206\u6790\u6216\u51b3\u7b56\u3002\u8fd9\u4e9b Agent \u53ef\u4ee5\u901a\u4fe1\u548c\u5171\u4eab\u4fe1\u606f\u4ee5\u5b9e\u73b0\u5171\u540c\u76ee\u6807\uff0c\u4f8b\u5982\u56de\u7b54\u7528\u6237\u67e5\u8be2\u6216\u5b8c\u6210\u4efb\u52a1\u3002<\/p>\n<p><strong>\u793a\u4f8b\u4ee3\u7801 (AutoGen)<\/strong>\uff1a<\/p>\n<pre><code># \u521b\u5efa Agent\uff0c\u7136\u540e\u521b\u5efa\u4e00\u4e2a\u5faa\u73af\u8c03\u5ea6\uff0c\u8ba9\u4ed6\u4eec\u53ef\u4ee5\u534f\u540c\u5de5\u4f5c\uff0c\u5728\u672c\u4f8b\u4e2d\u662f\u6309\u987a\u5e8f\r\n# \u6570\u636e\u68c0\u7d22 Agent\r\n# \u6570\u636e\u5206\u6790 Agent\r\n# \u51b3\u7b56 Agent\r\nagent_retrieve = AssistantAgent(\r\nname=\"dataretrieval\",\r\nmodel_client=model_client,\r\ntools=[retrieve_tool],\r\nsystem_message=\"Use tools to solve tasks.\"\r\n)\r\nagent_analyze = AssistantAgent(\r\nname=\"dataanalysis\",\r\nmodel_client=model_client,\r\ntools=[analyze_tool],\r\nsystem_message=\"Use tools to solve tasks.\"\r\n)\r\n# \u5f53\u7528\u6237\u8bf4 \"APPROVE\" \u65f6\uff0c\u5bf9\u8bdd\u7ed3\u675f\r\ntermination = TextMentionTermination(\"APPROVE\")\r\nuser_proxy = UserProxyAgent(\"user_proxy\", input_func=input)\r\nteam = RoundRobinGroupChat([agent_retrieve, agent_analyze, user_proxy], termination_condition=termination)\r\nstream = team.run_stream(task=\"Analyze data\", max_turns=10)\r\n# \u5728\u811a\u672c\u4e2d\u8fd0\u884c\u65f6\u4f7f\u7528 asyncio.run(...)\u3002\r\nawait Console(stream)\r\n<\/code><\/pre>\n<p>\u60a8\u5728\u524d\u9762\u7684\u4ee3\u7801\u4e2d\u770b\u5230\u7684\u662f\u5982\u4f55\u521b\u5efa\u4e00\u4e2a\u6d89\u53ca\u591a\u4e2a Agent \u534f\u540c\u5de5\u4f5c\u4ee5\u5206\u6790\u6570\u636e\u7684\u4efb\u52a1\u3002\u6bcf\u4e2a Agent \u6267\u884c\u7279\u5b9a\u7684\u529f\u80fd\uff0c\u5e76\u901a\u8fc7\u534f\u8c03 Agent \u6765\u6267\u884c\u4efb\u52a1\u4ee5\u5b9e\u73b0\u6240\u9700\u7684\u7ed3\u679c\u3002\u901a\u8fc7\u521b\u5efa\u5177\u6709\u4e13\u95e8\u89d2\u8272\u7684\u4e13\u7528 Agent\uff0c\u60a8\u53ef\u4ee5\u63d0\u9ad8\u4efb\u52a1\u6548\u7387\u548c\u6027\u80fd\u3002<\/p>\n<h3>\u5b9e\u65f6\u5b66\u4e60<\/h3>\n<p>\u9ad8\u7ea7\u6846\u67b6\u63d0\u4f9b\u4e86\u5b9e\u65f6\u4e0a\u4e0b\u6587\u7406\u89e3\u548c\u9002\u5e94\u7684\u80fd\u529b\u3002<\/p>\n<p><strong>\u56e2\u961f\u5982\u4f55\u4f7f\u7528\u8fd9\u4e9b\u6846\u67b6<\/strong>\uff1a\u56e2\u961f\u53ef\u4ee5\u5b9e\u73b0\u53cd\u9988\u5faa\u73af\uff0c\u4f7f\u667a\u80fd\u4f53 (Agents) \u4ece\u4ea4\u4e92\u4e2d\u5b66\u4e60\u5e76\u52a8\u6001\u8c03\u6574\u5176\u884c\u4e3a\uff0c\u4ece\u800c\u5b9e\u73b0\u80fd\u529b\u7684\u6301\u7eed\u6539\u8fdb\u548c\u5b8c\u5584\u3002<\/p>\n<p><strong>\u5b9e\u9645\u5e94\u7528<\/strong>\uff1a\u667a\u80fd\u4f53 (Agents) \u53ef\u4ee5\u5206\u6790\u7528\u6237\u53cd\u9988\u3001\u73af\u5883\u6570\u636e\u548c\u4efb\u52a1\u7ed3\u679c\uff0c\u4ee5\u66f4\u65b0\u5176\u77e5\u8bc6\u5e93\uff0c\u8c03\u6574\u51b3\u7b56\u7b97\u6cd5\uff0c\u5e76\u968f\u7740\u65f6\u95f4\u7684\u63a8\u79fb\u63d0\u9ad8\u6027\u80fd\u3002\u8fd9\u79cd\u8fed\u4ee3\u5b66\u4e60\u8fc7\u7a0b\u4f7f\u667a\u80fd\u4f53 (Agents) \u80fd\u591f\u9002\u5e94\u4e0d\u65ad\u53d8\u5316\u7684\u6761\u4ef6\u548c\u7528\u6237\u504f\u597d\uff0c\u4ece\u800c\u63d0\u9ad8\u6574\u4f53\u7cfb\u7edf\u6548\u7387\u3002<\/p>\n<p>&nbsp;<\/p>\n<h2>AutoGen\u3001Semantic Kernel \u548c Azure AI Agent Service \u6846\u67b6\u4e4b\u95f4\u6709\u4ec0\u4e48\u533a\u522b\uff1f<\/h2>\n<p>\u6709\u5f88\u591a\u65b9\u6cd5\u53ef\u4ee5\u6bd4\u8f83\u8fd9\u4e9b\u6846\u67b6\uff0c\u4f46\u8ba9\u6211\u4eec\u4ece\u5b83\u4eec\u7684\u8bbe\u8ba1\u3001\u529f\u80fd\u548c\u76ee\u6807\u7528\u4f8b\u7b49\u65b9\u9762\u6765\u770b\u4e00\u4e9b\u5173\u952e\u7684\u533a\u522b\uff1a<\/p>\n<h2>AutoGen<\/h2>\n<p>\u7531 Microsoft Research \u7684 AI Frontiers \u5b9e\u9a8c\u5ba4\u5f00\u53d1\u7684\u5f00\u6e90\u6846\u67b6\u3002\u4e13\u6ce8\u4e8e\u4e8b\u4ef6\u9a71\u52a8\u3001\u5206\u5e03\u5f0f\u7684\u00a0<em>agentic<\/em>\u00a0\u5e94\u7528\u7a0b\u5e8f\uff0c\u652f\u6301\u591a\u4e2a\u5927\u8bed\u8a00\u6a21\u578b (LLMs) \u548c SLM\u3001\u5de5\u5177\u4ee5\u53ca\u9ad8\u7ea7\u591a\u667a\u80fd\u4f53 (Multi-Agent) \u8bbe\u8ba1\u6a21\u5f0f\u3002<\/p>\n<p>AutoGen \u7684\u6838\u5fc3\u6982\u5ff5\u662f\u667a\u80fd\u4f53 (Agents)\uff0c\u5b83\u4eec\u662f\u80fd\u591f\u611f\u77e5\u73af\u5883\u3001\u505a\u51fa\u51b3\u7b56\u5e76\u91c7\u53d6\u884c\u52a8\u4ee5\u5b9e\u73b0\u7279\u5b9a\u76ee\u6807\u7684\u81ea\u4e3b\u5b9e\u4f53\u3002\u667a\u80fd\u4f53 (Agents) \u901a\u8fc7\u5f02\u6b65\u6d88\u606f\u8fdb\u884c\u901a\u4fe1\uff0c\u5141\u8bb8\u5b83\u4eec\u72ec\u7acb\u5e76\u884c\u5de5\u4f5c\uff0c\u4ece\u800c\u589e\u5f3a\u7cfb\u7edf\u7684\u53ef\u6269\u5c55\u6027\u548c\u54cd\u5e94\u80fd\u529b\u3002<\/p>\n<p><a href=\"https:\/\/en.wikipedia.org\/wiki\/Actor_model\">\u667a\u80fd\u4f53 (Agents) \u57fa\u4e8e actor \u6a21\u578b<\/a>\u3002\u6839\u636e\u7ef4\u57fa\u767e\u79d1\uff0cactor \u662f\u00a0<em>\u5e76\u53d1\u8ba1\u7b97\u7684\u57fa\u672c\u6784\u5efa\u5757\u3002\u5728\u54cd\u5e94\u6536\u5230\u7684\u6d88\u606f\u65f6\uff0cactor \u53ef\u4ee5\uff1a\u505a\u51fa\u672c\u5730\u51b3\u7b56\u3001\u521b\u5efa\u66f4\u591a actor\u3001\u53d1\u9001\u66f4\u591a\u6d88\u606f\uff0c\u5e76\u786e\u5b9a\u5982\u4f55\u54cd\u5e94\u4e0b\u4e00\u4e2a\u6536\u5230\u7684\u6d88\u606f<\/em>\u3002<\/p>\n<p><strong>\u7528\u4f8b<\/strong>\uff1a\u81ea\u52a8\u5316\u4ee3\u7801\u751f\u6210\u3001\u6570\u636e\u5206\u6790\u4efb\u52a1\uff0c\u4ee5\u53ca\u6784\u5efa\u7528\u4e8e\u89c4\u5212\u548c\u7814\u7a76\u529f\u80fd\u7684\u81ea\u5b9a\u4e49\u667a\u80fd\u4f53 (Agents)\u3002<\/p>\n<p>\u4ee5\u4e0b\u662f AutoGen \u7684\u4e00\u4e9b\u91cd\u8981\u6838\u5fc3\u6982\u5ff5\uff1a<\/p>\n<ul>\n<li><strong>\u667a\u80fd\u4f53 (Agents)<\/strong>\u3002\u667a\u80fd\u4f53 (Agent) \u662f\u4e00\u4e2a\u8f6f\u4ef6\u5b9e\u4f53\uff0c\u5b83\uff1a\n<ul>\n<li><strong>\u901a\u8fc7\u6d88\u606f\u8fdb\u884c\u901a\u4fe1<\/strong>\uff0c\u8fd9\u4e9b\u6d88\u606f\u53ef\u4ee5\u662f\u540c\u6b65\u7684\u6216\u5f02\u6b65\u7684\u3002<\/li>\n<li><strong>\u7ef4\u62a4\u81ea\u5df1\u7684\u72b6\u6001<\/strong>\uff0c\u8be5\u72b6\u6001\u53ef\u4ee5\u901a\u8fc7\u4f20\u5165\u6d88\u606f\u8fdb\u884c\u4fee\u6539\u3002<\/li>\n<li><strong>\u6267\u884c\u64cd\u4f5c<\/strong>\u00a0\u4ee5\u54cd\u5e94\u6536\u5230\u7684\u6d88\u606f\u6216\u5176\u72b6\u6001\u7684\u53d8\u5316\u3002\u8fd9\u4e9b\u64cd\u4f5c\u53ef\u80fd\u4f1a\u4fee\u6539\u667a\u80fd\u4f53 (Agent) \u7684\u72b6\u6001\u5e76\u4ea7\u751f\u5916\u90e8\u5f71\u54cd\uff0c\u4f8b\u5982\u66f4\u65b0\u6d88\u606f\u65e5\u5fd7\u3001\u53d1\u9001\u65b0\u6d88\u606f\u3001\u6267\u884c\u4ee3\u7801\u6216\u8fdb\u884c API \u8c03\u7528\u3002<\/li>\n<\/ul>\n<p>\u4e0b\u9762\u662f\u4e00\u4e2a\u7b80\u77ed\u7684\u4ee3\u7801\u7247\u6bb5\uff0c\u60a8\u53ef\u4ee5\u5728\u5176\u4e2d\u521b\u5efa\u5177\u6709\u804a\u5929\u529f\u80fd\u7684\u667a\u80fd\u4f53 (Agent)\uff1a<\/p>\n<pre><code>from autogen_agentchat.agents import AssistantAgent\r\nfrom autogen_agentchat.messages import TextMessage\r\nfrom autogen_ext.models.openai import OpenAIChatCompletionClient\r\nclass MyAssistant(RoutedAgent):\r\ndef __init__(self, name: str) -&gt; None:\r\nsuper().__init__(name)\r\nmodel_client = OpenAIChatCompletionClient(model=\"gpt-4o\")\r\nself._delegate = AssistantAgent(name, model_client=model_client)\r\n    @message_handler\r\nasync def handle_my_message_type(self, message: MyMessageType, ctx: MessageContext) -&gt; None:\r\nprint(f\"{self.id.type} received message: {message.content}\")\r\nresponse = await self._delegate.on_messages(\r\n[TextMessage(content=message.content, source=\"user\")], ctx.cancellation_token\r\n)\r\nprint(f\"{self.id.type} responded: {response.chat_message.content}\")\r\n<\/code><\/pre>\n<p>\u5728\u524d\u9762\u7684\u4ee3\u7801\u4e2d\uff0c<code>MyAssistant<\/code>\u00a0\u5df2\u88ab\u521b\u5efa\u5e76\u7ee7\u627f\u81ea\u00a0<code>RoutedAgent<\/code>\u3002\u5b83\u6709\u4e00\u4e2a\u6d88\u606f\u5904\u7406\u7a0b\u5e8f\uff0c\u7528\u4e8e\u6253\u5370\u6d88\u606f\u7684\u5185\u5bb9\uff0c\u7136\u540e\u4f7f\u7528\u00a0<code>AssistantAgent<\/code>\u00a0\u59d4\u6258\u53d1\u9001\u54cd\u5e94\u3002\u7279\u522b\u6ce8\u610f\u6211\u4eec\u5982\u4f55\u5c06\u00a0<code>AssistantAgent<\/code>\u00a0\u7684\u5b9e\u4f8b\u5206\u914d\u7ed9\u00a0<code>self._delegate<\/code>\uff0c<code>AssistantAgent<\/code>\u00a0\u662f\u4e00\u4e2a\u53ef\u4ee5\u5904\u7406\u804a\u5929\u8865\u5168\u7684\u9884\u6784\u5efa\u667a\u80fd\u4f53 (Agent)\u3002<br \/>\n\u63a5\u4e0b\u6765\uff0c\u8ba9 AutoGen \u4e86\u89e3\u6b64\u667a\u80fd\u4f53 (Agent) \u7c7b\u578b\u5e76\u542f\u52a8\u7a0b\u5e8f\uff1a<\/p>\n<pre><code># main.py\r\nruntime = SingleThreadedAgentRuntime()\r\nawait MyAgent.register(runtime, \"my_agent\", lambda: MyAgent())\r\nruntime.start()  # Start processing messages in the background.\r\nawait runtime.send_message(MyMessageType(\"Hello, World!\"), AgentId(\"my_agent\", \"default\"))\r\n<\/code><\/pre>\n<p>\u5728\u524d\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u667a\u80fd\u4f53 (Agents) \u5df2\u5411\u8fd0\u884c\u65f6\u6ce8\u518c\uff0c\u7136\u540e\u5411\u667a\u80fd\u4f53 (Agent) \u53d1\u9001\u6d88\u606f\uff0c\u4ece\u800c\u4ea7\u751f\u4ee5\u4e0b\u8f93\u51fa\uff1a<\/p>\n<pre><code># Output from the console:\r\nmy_agent received message: Hello, World!\r\nmy_assistant received message: Hello, World!\r\nmy_assistant responded: Hello! How can I assist you today?\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u591a\u667a\u80fd\u4f53 (Multi Agents)<\/strong>\u3002AutoGen \u652f\u6301\u521b\u5efa\u591a\u4e2a\u53ef\u4ee5\u534f\u540c\u5de5\u4f5c\u4ee5\u5b8c\u6210\u590d\u6742\u4efb\u52a1\u7684\u667a\u80fd\u4f53 (Agents)\u3002\u667a\u80fd\u4f53 (Agents) \u53ef\u4ee5\u901a\u4fe1\u3001\u5171\u4eab\u4fe1\u606f\u5e76\u534f\u8c03\u5176\u884c\u52a8\uff0c\u4ece\u800c\u66f4\u6709\u6548\u5730\u89e3\u51b3\u95ee\u9898\u3002\u8981\u521b\u5efa\u591a\u667a\u80fd\u4f53 (Multi-Agent) \u7cfb\u7edf\uff0c\u60a8\u53ef\u4ee5\u5b9a\u4e49\u5177\u6709\u4e13\u95e8\u529f\u80fd\u548c\u89d2\u8272\u7684\u4e0d\u540c\u7c7b\u578b\u7684\u667a\u80fd\u4f53 (Agents)\uff0c\u4f8b\u5982\u6570\u636e\u68c0\u7d22\u3001\u5206\u6790\u3001\u51b3\u7b56\u548c\u7528\u6237\u4ea4\u4e92\u3002\u8ba9\u6211\u4eec\u770b\u770b\u8fd9\u6837\u7684\u521b\u5efa\u662f\u4ec0\u4e48\u6837\u5b50\u7684\uff0c\u4ee5\u4fbf\u6211\u4eec\u4e86\u89e3\u5b83\uff1a<\/li>\n<\/ul>\n<pre><code>editor_description = \"Editor for planning and reviewing the content.\"\r\n# Example of declaring an Agent\r\neditor_agent_type = await EditorAgent.register(\r\nruntime,\r\neditor_topic_type,  # Using topic type as the agent type.\r\nlambda: EditorAgent(\r\ndescription=editor_description,\r\ngroup_chat_topic_type=group_chat_topic_type,\r\nmodel_client=OpenAIChatCompletionClient(\r\nmodel=\"gpt-4o-2024-08-06\",\r\n# api_key=\"YOUR_API_KEY\",\r\n),\r\n),\r\n)\r\n# remaining declarations shortened for brevity\r\n# Group chat\r\ngroup_chat_manager_type = await GroupChatManager.register(\r\nruntime,\r\n\"group_chat_manager\",\r\nlambda: GroupChatManager(\r\nparticipant_topic_types=[writer_topic_type, illustrator_topic_type, editor_topic_type, user_topic_type],\r\nmodel_client=OpenAIChatCompletionClient(\r\nmodel=\"gpt-4o-2024-08-06\",\r\n# api_key=\"YOUR_API_KEY\",\r\n),\r\nparticipant_descriptions=[\r\nwriter_description, \r\nillustrator_description, \r\neditor_description, \r\nuser_description\r\n],\r\n),\r\n)\r\n<\/code><\/pre>\n<p>\u5728\u524d\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u6211\u4eec\u6709\u4e00\u4e2a\u00a0<code>GroupChatManager<\/code>\uff0c\u5b83\u5df2\u5411\u8fd0\u884c\u65f6\u6ce8\u518c\u3002\u6b64\u7ba1\u7406\u5668\u8d1f\u8d23\u534f\u8c03\u4e0d\u540c\u7c7b\u578b\u667a\u80fd\u4f53 (Agents) \u4e4b\u95f4\u7684\u4ea4\u4e92\uff0c\u4f8b\u5982\u7f16\u5199\u8005\u3001\u63d2\u56fe\u753b\u5bb6\u3001\u7f16\u8f91\u548c\u7528\u6237\u3002<\/p>\n<ul>\n<li><strong>\u667a\u80fd\u4f53\u8fd0\u884c\u65f6 (Agent Runtime)<\/strong>\u3002\u8be5\u6846\u67b6\u63d0\u4f9b\u4e86\u4e00\u4e2a\u8fd0\u884c\u65f6\u73af\u5883\uff0c\u652f\u6301\u667a\u80fd\u4f53 (Agents) \u4e4b\u95f4\u7684\u901a\u4fe1\uff0c\u7ba1\u7406\u5b83\u4eec\u7684\u8eab\u4efd\u548c\u751f\u547d\u5468\u671f\uff0c\u5e76\u5f3a\u5236\u6267\u884c\u5b89\u5168\u548c\u9690\u79c1\u8fb9\u754c\u3002\u8fd9\u610f\u5473\u7740\u60a8\u53ef\u4ee5\u5728\u5b89\u5168\u4e14\u53d7\u63a7\u7684\u73af\u5883\u4e2d\u8fd0\u884c\u60a8\u7684\u667a\u80fd\u4f53 (Agents)\uff0c\u786e\u4fdd\u5b83\u4eec\u53ef\u4ee5\u5b89\u5168\u9ad8\u6548\u5730\u4ea4\u4e92\u3002\u6709\u4e24\u79cd\u503c\u5f97\u5173\u6ce8\u7684\u8fd0\u884c\u65f6\uff1a\n<ul>\n<li><strong>\u72ec\u7acb\u8fd0\u884c\u65f6 (Stand-alone runtime)<\/strong>\u3002\u5bf9\u4e8e\u5355\u8fdb\u7a0b\u5e94\u7528\u7a0b\u5e8f\u6765\u8bf4\uff0c\u8fd9\u662f\u4e00\u4e2a\u4e0d\u9519\u7684\u9009\u62e9\uff0c\u5176\u4e2d\u6240\u6709\u667a\u80fd\u4f53 (Agents) \u90fd\u4ee5\u76f8\u540c\u7684\u7f16\u7a0b\u8bed\u8a00\u5b9e\u73b0\u5e76\u5728\u540c\u4e00\u8fdb\u7a0b\u4e2d\u8fd0\u884c\u3002\u4e0b\u9762\u662f\u5b83\u5982\u4f55\u5de5\u4f5c\u7684\u56fe\u793a\uff1a<br \/>\n<a href=\"https:\/\/microsoft.github.io\/autogen\/stable\/_images\/architecture-standalone.svg\">Stand-alone runtime<\/a><br \/>\n\u5e94\u7528\u7a0b\u5e8f\u5806\u6808<br \/>\n<em>\u667a\u80fd\u4f53 (Agents) \u901a\u8fc7\u8fd0\u884c\u65f6\u901a\u8fc7\u6d88\u606f\u8fdb\u884c\u901a\u4fe1\uff0c\u8fd0\u884c\u65f6\u7ba1\u7406\u667a\u80fd\u4f53 (Agents) \u7684\u751f\u547d\u5468\u671f<\/em><\/li>\n<li><strong>\u5206\u5e03\u5f0f\u667a\u80fd\u4f53\u8fd0\u884c\u65f6 (Distributed agent runtime)<\/strong>\uff0c\u9002\u7528\u4e8e\u591a\u8fdb\u7a0b\u5e94\u7528\u7a0b\u5e8f\uff0c\u5176\u4e2d\u667a\u80fd\u4f53 (Agents) \u53ef\u4ee5\u7528\u4e0d\u540c\u7684\u7f16\u7a0b\u8bed\u8a00\u5b9e\u73b0\u5e76\u5728\u4e0d\u540c\u7684\u673a\u5668\u4e0a\u8fd0\u884c\u3002\u4e0b\u9762\u662f\u5b83\u5982\u4f55\u5de5\u4f5c\u7684\u56fe\u793a\uff1a<br \/>\n<a href=\"https:\/\/microsoft.github.io\/autogen\/stable\/_images\/architecture-distributed.svg\">Distributed runtime<\/a><\/li>\n<\/ul>\n<\/li>\n<\/ul>\n<h2>Semantic Kernel + Agent Framework<\/h2>\n<p>Semantic Kernel \u5305\u542b\u4e24\u4e2a\u90e8\u5206\uff0cSemantic Kernel Agent Framework \u548c Semantic Kernel \u672c\u8eab\u3002<\/p>\n<p>\u8ba9\u6211\u4eec\u5148\u8c08\u8c08 Semantic Kernel\u3002\u5b83\u5177\u6709\u4ee5\u4e0b\u6838\u5fc3\u6982\u5ff5\uff1a<\/p>\n<ul>\n<li><strong>\u8fde\u63a5 (Connections)<\/strong>\uff1a\u8fd9\u662f\u4e0e\u5916\u90e8 AI \u670d\u52a1\u548c\u6570\u636e\u6e90\u7684\u63a5\u53e3\u3002<\/li>\n<\/ul>\n<pre><code>using Microsoft.SemanticKernel;\r\n\/\/ Create kernel\r\nvar builder = Kernel.CreateBuilder();\r\n\/\/ Add a chat completion service:\r\nbuilder.Services.AddAzureOpenAIChatCompletion(\r\n\"your-resource-name\",\r\n\"your-endpoint\",\r\n\"your-resource-key\",\r\n\"deployment-model\");\r\nvar kernel = builder.Build();\r\n<\/code><\/pre>\n<p>\u8fd9\u91cc\u6709\u4e00\u4e2a\u7b80\u5355\u7684\u793a\u4f8b\uff0c\u8bf4\u660e\u5982\u4f55\u521b\u5efa\u5185\u6838\u5e76\u6dfb\u52a0\u804a\u5929\u8865\u5168\u670d\u52a1\u3002Semantic Kernel \u521b\u5efa\u4e0e\u5916\u90e8 AI \u670d\u52a1\uff08\u5728\u672c\u4f8b\u4e2d\u4e3a Azure OpenAI \u804a\u5929\u8865\u5168\uff09\u7684\u8fde\u63a5\u3002<\/p>\n<ul>\n<li><strong>\u63d2\u4ef6 (Plugins)<\/strong>\uff1a\u5c01\u88c5\u5e94\u7528\u7a0b\u5e8f\u53ef\u4ee5\u4f7f\u7528\u7684\u51fd\u6570\u3002\u65e2\u6709\u73b0\u6210\u7684\u63d2\u4ef6\uff0c\u4e5f\u6709\u60a8\u53ef\u4ee5\u81ea\u5df1\u521b\u5efa\u7684\u63d2\u4ef6\u3002\u8fd9\u91cc\u6709\u4e00\u4e2a\u540d\u4e3a\u201c\u8bed\u4e49\u51fd\u6570 (Semantic functions)\u201d\u7684\u6982\u5ff5\u3002\u4f7f\u5176\u5177\u6709\u8bed\u4e49\u7684\u539f\u56e0\u662f\uff0c\u60a8\u5411\u5176\u63d0\u4f9b\u8bed\u4e49\u4fe1\u606f\uff0c\u4ee5\u5e2e\u52a9 Semantic Kernel \u786e\u5b9a\u9700\u8981\u8c03\u7528\u6b64\u51fd\u6570\u3002\u4e0b\u9762\u662f\u4e00\u4e2a\u793a\u4f8b\uff1a<\/li>\n<\/ul>\n<pre><code>var userInput = Console.ReadLine();\r\n\/\/ Define semantic function inline.\r\nstring skPrompt = @\"Summarize the provided <a href=\"https:\/\/www.kdjingpai.com\/unstructured\/\">unstructured<\/a> text in a sentence that is easy to understand.\r\nText to summarize: {{$userInput}}\";\r\n\/\/ Register the function\r\nkernel.CreateSemanticFunction(\r\npromptTemplate: skPrompt,\r\nfunctionName: \"SummarizeText\",\r\npluginName: \"SemanticFunctions\"\r\n);\r\n<\/code><\/pre>\n<p>\u5728\u8fd9\u91cc\uff0c\u60a8\u9996\u5148\u6709\u4e00\u4e2a\u6a21\u677f\u63d0\u793a\u00a0<code>skPrompt<\/code>\uff0c\u5b83\u4e3a\u7528\u6237\u7559\u51fa\u8f93\u5165\u6587\u672c\u00a0<code>$userInput<\/code>\u00a0\u7684\u7a7a\u95f4\u3002\u7136\u540e\uff0c\u60a8\u4f7f\u7528\u63d2\u4ef6\u00a0<code>SemanticFunctions<\/code>\u00a0\u6ce8\u518c\u51fd\u6570\u00a0<code>SummarizeText<\/code>\u3002\u8bf7\u6ce8\u610f\u51fd\u6570\u7684\u540d\u79f0\uff0c\u8be5\u540d\u79f0\u6709\u52a9\u4e8e Semantic Kernel \u4e86\u89e3\u51fd\u6570\u7684\u4f5c\u7528\u4ee5\u53ca\u4f55\u65f6\u5e94\u8c03\u7528\u5b83\u3002<\/p>\n<ul>\n<li><strong>\u672c\u673a\u51fd\u6570 (Native function)<\/strong>\uff1a\u8fd8\u6709\u672c\u673a\u51fd\u6570\uff0c\u6846\u67b6\u53ef\u4ee5\u76f4\u63a5\u8c03\u7528\u8fd9\u4e9b\u51fd\u6570\u6765\u6267\u884c\u4efb\u52a1\u3002\u4e0b\u9762\u662f\u6b64\u7c7b\u51fd\u6570\u4ece\u6587\u4ef6\u4e2d\u68c0\u7d22\u5185\u5bb9\u7684\u793a\u4f8b\uff1a<\/li>\n<\/ul>\n<pre><code>public class NativeFunctions {\r\n[SKFunction, Description(\"Retrieve content from local file\")]\r\npublic async Task&lt;string&gt; RetrieveLocalFile(string fileName, int maxSize = 5000)\r\n{\r\nstring content = await File.ReadAllTextAsync(fileName);\r\nif (content.Length &lt;= maxSize) return content;\r\nreturn content.Substring(0, maxSize);\r\n}\r\n}\r\n\/\/Import native function\r\nstring plugInName = \"NativeFunction\";\r\nstring functionName = \"RetrieveLocalFile\";\r\nvar nativeFunctions = new NativeFunctions();\r\nkernel.ImportFunctions(nativeFunctions, plugInName);\r\n<\/code><\/pre>\n<ul>\n<li><strong>\u89c4\u5212\u5668 (Planner)<\/strong>\uff1a\u89c4\u5212\u5668\u6839\u636e\u7528\u6237\u8f93\u5165\u7f16\u6392\u6267\u884c\u8ba1\u5212\u548c\u7b56\u7565\u3002\u5176\u601d\u60f3\u662f\u8868\u8fbe\u5e94\u8be5\u5982\u4f55\u6267\u884c\uff0c\u7136\u540e\u5c06\u5176\u4f5c\u4e3a Semantic Kernel \u9075\u5faa\u7684\u6307\u4ee4\u3002\u7136\u540e\uff0c\u5b83\u8c03\u7528\u5fc5\u8981\u7684\u51fd\u6570\u6765\u6267\u884c\u4efb\u52a1\u3002\u4e0b\u9762\u662f\u6b64\u7c7b\u8ba1\u5212\u7684\u793a\u4f8b\uff1a<\/li>\n<\/ul>\n<pre><code>string planDefinition = \"Read content from a local file and summarize the content.\";\r\nSequentialPlanner sequentialPlanner = new SequentialPlanner(kernel);\r\nstring assetsFolder = @\"..\/..\/assets\";\r\nstring fileName = Path.Combine(assetsFolder,\"docs\",\"06_SemanticKernel\", \"aci_documentation.txt\");\r\nContextVariables contextVariables = new ContextVariables();\r\ncontextVariables.Add(\"fileName\", fileName);\r\nvar customPlan = await sequentialPlanner.CreatePlanAsync(planDefinition);\r\n\/\/ Execute the plan\r\nKernelResult kernelResult = await kernel.RunAsync(contextVariables, customPlan);\r\nConsole.WriteLine($\"Summarization: {kernelResult.GetValue&lt;string&gt;()}\");\r\n<\/code><\/pre>\n<p>\u7279\u522b\u6ce8\u610f\u00a0<code>planDefinition<\/code>\uff0c\u8fd9\u662f\u89c4\u5212\u5668\u9075\u5faa\u7684\u7b80\u5355\u6307\u4ee4\u3002\u7136\u540e\u6839\u636e\u6b64\u8ba1\u5212\u8c03\u7528\u9002\u5f53\u7684\u51fd\u6570\uff0c\u5728\u672c\u4f8b\u4e2d\u662f\u6211\u4eec\u7684\u8bed\u4e49\u51fd\u6570\u00a0<code>SummarizeText<\/code>\u00a0\u548c\u672c\u673a\u51fd\u6570\u00a0<code>RetrieveLocalFile<\/code>\u3002<\/p>\n<ul>\n<li><strong>\u5185\u5b58 (Memory)<\/strong>\uff1a\u62bd\u8c61\u5e76\u7b80\u5316 AI \u5e94\u7528\u7a0b\u5e8f\u7684\u4e0a\u4e0b\u6587\u7ba1\u7406\u3002\u5185\u5b58\u7684\u601d\u60f3\u662f\u8fd9\u662f\u5927\u8bed\u8a00\u6a21\u578b (LLM) \u5e94\u8be5\u77e5\u9053\u7684\u4e1c\u897f\u3002\u60a8\u53ef\u4ee5\u5c06\u6b64\u4fe1\u606f\u5b58\u50a8\u5728\u5411\u91cf\u5b58\u50a8\u4e2d\uff0c\u6700\u7ec8\u6210\u4e3a\u5185\u5b58\u6570\u636e\u5e93\u6216\u5411\u91cf\u6570\u636e\u5e93\u6216\u7c7b\u4f3c\u7684\u4e1c\u897f\u3002\u4e0b\u9762\u662f\u4e00\u4e2a\u975e\u5e38\u7b80\u5316\u7684\u573a\u666f\u793a\u4f8b\uff0c\u5176\u4e2d\u00a0<em>\u4e8b\u5b9e (facts)<\/em>\u00a0\u88ab\u6dfb\u52a0\u5230\u5185\u5b58\u4e2d\uff1a<\/li>\n<\/ul>\n<pre><code>var facts = new Dictionary&lt;string,string&gt;();\r\nfacts.Add(\r\n\"Azure Machine Learning; https:\/\/learn.microsoft.com\/azure\/machine-learning\/\",\r\n@\"Azure Machine Learning is a cloud service for accelerating and\r\nmanaging the machine learning project lifecycle. Machine learning professionals,\r\ndata scientists, and engineers can use it in their day-to-day workflows\"\r\n);\r\nfacts.Add(\r\n\"Azure SQL Service; https:\/\/learn.microsoft.com\/azure\/azure-sql\/\",\r\n@\"Azure SQL is a family of managed, secure, and intelligent products\r\nthat use the SQL Server database engine in the Azure cloud.\"\r\n);\r\nstring memoryCollectionName = \"SummarizedAzureDocs\";\r\nforeach (var fact in facts) {\r\nawait memoryBuilder.SaveReferenceAsync(\r\ncollection: memoryCollectionName,\r\ndescription: fact.Key.Split(\";\")[1].Trim(),\r\ntext: fact.Value,\r\nexternalId: fact.Key.Split(\";\")[2].Trim(),\r\nexternalSourceName: \"Azure Documentation\"\r\n);\r\n}\r\n<\/code><\/pre>\n<p>\u7136\u540e\uff0c\u8fd9\u4e9b\u4e8b\u5b9e (facts) \u5b58\u50a8\u5728\u5185\u5b58\u96c6\u5408\u00a0<code>SummarizedAzureDocs<\/code>\u00a0\u4e2d\u3002\u8fd9\u662f\u4e00\u4e2a\u975e\u5e38\u7b80\u5316\u7684\u793a\u4f8b\uff0c\u4f46\u60a8\u53ef\u4ee5\u770b\u5230\u5982\u4f55\u5c06\u4fe1\u606f\u5b58\u50a8\u5728\u5185\u5b58\u4e2d\u4ee5\u4f9b\u5927\u8bed\u8a00\u6a21\u578b (LLM) \u4f7f\u7528\u3002<\/p>\n<p>\u8fd9\u5c31\u662f Semantic Kernel \u6846\u67b6\u7684\u57fa\u7840\u77e5\u8bc6\uff0c\u90a3\u4e48 Agent Framework \u5462\uff1f<\/p>\n<p>&nbsp;<\/p>\n<h2>Azure AI Agent Service<\/h2>\n<p>Azure AI Agent Service \u662f\u4e00\u4e2a\u8f83\u65b0\u7684\u6210\u5458\uff0c\u5728 Microsoft Ignite 2024 \u4e0a\u63a8\u51fa\u3002\u5b83\u5141\u8bb8\u5f00\u53d1\u548c\u90e8\u7f72\u5177\u6709\u66f4\u7075\u6d3b\u6a21\u578b\u7684 AI \u667a\u80fd\u4f53 (Agents)\uff0c\u4f8b\u5982\u76f4\u63a5\u8c03\u7528\u5f00\u6e90\u5927\u8bed\u8a00\u6a21\u578b (LLMs)\uff0c\u5982 Llama 3\u3001Mistral \u548c Cohere\u3002<\/p>\n<p>Azure AI Agent Service \u63d0\u4f9b\u4e86\u66f4\u5f3a\u5927\u7684\u4f01\u4e1a\u5b89\u5168\u673a\u5236\u548c\u6570\u636e\u5b58\u50a8\u65b9\u6cd5\uff0c\u4f7f\u5176\u9002\u7528\u4e8e\u4f01\u4e1a\u5e94\u7528\u7a0b\u5e8f\u3002<\/p>\n<p>\u5b83\u53ef\u4ee5\u4e0e AutoGen \u548c Semantic Kernel \u7b49\u591a\u667a\u80fd\u4f53 (Multi-Agent) \u7f16\u6392\u6846\u67b6\u5f00\u7bb1\u5373\u7528\u3002<\/p>\n<p>\u6b64\u670d\u52a1\u76ee\u524d\u5904\u4e8e\u516c\u5f00\u9884\u89c8\u9636\u6bb5\uff0c\u652f\u6301 Python \u548c C# \u6765\u6784\u5efa\u667a\u80fd\u4f53 (Agents)<\/p>\n<h3>\u6838\u5fc3\u6982\u5ff5<\/h3>\n<p>Azure AI Agent Service \u5177\u6709\u4ee5\u4e0b\u6838\u5fc3\u6982\u5ff5\uff1a<\/p>\n<ul>\n<li><strong>\u667a\u80fd\u4f53 (Agent)<\/strong>\u3002Azure AI Agent Service \u4e0e Azure AI Foundry \u96c6\u6210\u3002\u5728 AI Foundry \u4e2d\uff0cAI \u667a\u80fd\u4f53 (Agent) \u5145\u5f53\u201c\u667a\u80fd\u201d\u5fae\u670d\u52a1\uff0c\u53ef\u7528\u4e8e\u56de\u7b54\u95ee\u9898 (<a href=\"https:\/\/www.kdjingpai.com\/rag\/\">RAG<\/a>)\u3001\u6267\u884c\u64cd\u4f5c\u6216\u5b8c\u5168\u81ea\u52a8\u5316\u5de5\u4f5c\u6d41\u7a0b\u3002\u5b83\u901a\u8fc7\u5c06\u751f\u6210\u5f0f AI \u6a21\u578b\u7684\u529f\u80fd\u4e0e\u5141\u8bb8\u5176\u8bbf\u95ee\u548c\u4e0e\u771f\u5b9e\u4e16\u754c\u6570\u636e\u6e90\u4ea4\u4e92\u7684\u5de5\u5177\u76f8\u7ed3\u5408\u6765\u5b9e\u73b0\u8fd9\u4e00\u70b9\u3002\u4e0b\u9762\u662f\u4e00\u4e2a\u667a\u80fd\u4f53 (Agent) \u7684\u793a\u4f8b\uff1a<\/li>\n<\/ul>\n<pre><code>agent = project_client.agents.create_agent(\r\nmodel=\"gpt-4o-mini\",\r\nname=\"my-agent\",\r\ninstructions=\"You are helpful agent\",\r\ntools=code_interpreter.definitions,\r\ntool_resources=code_interpreter.resources,\r\n)\r\n<\/code><\/pre>\n<p>\u5728\u6b64\u793a\u4f8b\u4e2d\uff0c\u521b\u5efa\u4e86\u4e00\u4e2a\u5177\u6709\u6a21\u578b\u00a0<code>gpt-4o-mini<\/code>\u3001\u540d\u79f0\u00a0<code>my-agent<\/code>\u00a0\u548c\u6307\u4ee4\u00a0<code>You are helpful agent<\/code>\u00a0\u7684\u667a\u80fd\u4f53 (Agent)\u3002\u8be5\u667a\u80fd\u4f53 (Agent) \u914d\u5907\u4e86\u5de5\u5177\u548c\u8d44\u6e90\u6765\u6267\u884c\u4ee3\u7801\u89e3\u91ca\u4efb\u52a1\u3002<\/p>\n<ul>\n<li><strong>\u7ebf\u7a0b\u548c\u6d88\u606f (Thread and messages)<\/strong>\u3002\u7ebf\u7a0b\u662f\u53e6\u4e00\u4e2a\u91cd\u8981\u7684\u6982\u5ff5\u3002\u5b83\u8868\u793a\u667a\u80fd\u4f53 (Agent) \u548c\u7528\u6237\u4e4b\u95f4\u7684\u5bf9\u8bdd\u6216\u4ea4\u4e92\u3002\u7ebf\u7a0b\u53ef\u7528\u4e8e\u8ddf\u8e2a\u5bf9\u8bdd\u8fdb\u5ea6\u3001\u5b58\u50a8\u4e0a\u4e0b\u6587\u4fe1\u606f\u4ee5\u53ca\u7ba1\u7406\u4ea4\u4e92\u72b6\u6001\u3002\u4e0b\u9762\u662f\u4e00\u4e2a\u7ebf\u7a0b\u7684\u793a\u4f8b\uff1a<\/li>\n<\/ul>\n<pre><code>thread = project_client.agents.create_thread()\r\nmessage = project_client.agents.create_message(\r\nthread_id=thread.id,\r\nrole=\"user\",\r\ncontent=\"Could you please create a bar chart for the operating profit using the following data and provide the file to me? Company A: $1.2 million, Company B: $2.5 million, Company C: $3.0 million, Company D: $1.8 million\",\r\n)\r\n# Ask the agent to perform work on the thread\r\nrun = project_client.agents.create_and_process_run(thread_id=thread.id, agent_id=agent.id)\r\n# Fetch and log all messages to see the agent's response\r\nmessages = project_client.agents.list_messages(thread_id=thread.id)\r\nprint(f\"Messages: {messages}\")\r\n<\/code><\/pre>\n<p>\u5728\u524d\u9762\u7684\u4ee3\u7801\u4e2d\uff0c\u521b\u5efa\u4e86\u4e00\u4e2a\u7ebf\u7a0b\u3002\u6b64\u540e\uff0c\u5411\u7ebf\u7a0b\u53d1\u9001\u4e00\u6761\u6d88\u606f\u3002\u901a\u8fc7\u8c03\u7528\u00a0<code>create_and_process_run<\/code>\uff0c\u8981\u6c42\u667a\u80fd\u4f53 (Agent) \u5728\u7ebf\u7a0b\u4e0a\u6267\u884c\u5de5\u4f5c\u3002\u6700\u540e\uff0c\u83b7\u53d6\u5e76\u8bb0\u5f55\u6d88\u606f\u4ee5\u67e5\u770b\u667a\u80fd\u4f53 (Agent) \u7684\u54cd\u5e94\u3002\u6d88\u606f\u6307\u793a\u7528\u6237\u548c\u667a\u80fd\u4f53 (Agent) \u4e4b\u95f4\u5bf9\u8bdd\u7684\u8fdb\u5ea6\u3002\u540c\u6837\u91cd\u8981\u7684\u662f\u8981\u7406\u89e3\uff0c\u6d88\u606f\u53ef\u4ee5\u662f\u4e0d\u540c\u7684\u7c7b\u578b\uff0c\u4f8b\u5982\u6587\u672c\u3001\u56fe\u50cf\u6216\u6587\u4ef6\uff0c\u5373\u667a\u80fd\u4f53 (Agents) \u7684\u5de5\u4f5c\u5bfc\u81f4\u4e86\u4f8b\u5982\u56fe\u50cf\u6216\u6587\u672c\u54cd\u5e94\u3002\u4f5c\u4e3a\u5f00\u53d1\u4eba\u5458\uff0c\u60a8\u53ef\u4ee5\u4f7f\u7528\u6b64\u4fe1\u606f\u6765\u8fdb\u4e00\u6b65\u5904\u7406\u54cd\u5e94\u6216\u5c06\u5176\u5448\u73b0\u7ed9\u7528\u6237\u3002<\/p>\n<ul>\n<li><strong>\u4e0e\u5176\u4ed6 AI \u6846\u67b6\u96c6\u6210<\/strong>\u3002Azure AI Agent Service \u53ef\u4ee5\u4e0e\u5176\u4ed6\u6846\u67b6\uff08\u5982 AutoGen \u548c Semantic Kernel\uff09\u8fdb\u884c\u4ea4\u4e92\uff0c\u8fd9\u610f\u5473\u7740\u60a8\u53ef\u4ee5\u5728\u5176\u4e2d\u4e00\u4e2a\u6846\u67b6\u4e2d\u6784\u5efa\u5e94\u7528\u7a0b\u5e8f\u7684\u4e00\u90e8\u5206\uff0c\u4f8b\u5982\u5c06 Agent Service \u7528\u4f5c\u7f16\u6392\u5668\uff0c\u6216\u8005\u60a8\u53ef\u4ee5\u5728 Agent Service \u4e2d\u6784\u5efa\u6240\u6709\u5185\u5bb9\u3002<\/li>\n<\/ul>\n<p><strong>\u7528\u4f8b<\/strong>\uff1aAzure AI Agent Service \u4e13\u4e3a\u9700\u8981\u5b89\u5168\u3001\u53ef\u6269\u5c55\u548c\u7075\u6d3b\u7684 AI \u667a\u80fd\u4f53 (Agent) \u90e8\u7f72\u7684\u4f01\u4e1a\u5e94\u7528\u7a0b\u5e8f\u800c\u8bbe\u8ba1\u3002<\/p>\n<p>&nbsp;<\/p>\n<h2>\u8fd9\u4e9b\u6846\u67b6\u4e4b\u95f4\u6709\u4ec0\u4e48\u533a\u522b\uff1f<\/h2>\n<p>\u542c\u8d77\u6765\u8fd9\u4e9b\u6846\u67b6\u4e4b\u95f4\u6709\u5f88\u591a\u91cd\u53e0\uff0c\u4f46\u5728\u5b83\u4eec\u7684\u8bbe\u8ba1\u3001\u529f\u80fd\u548c\u76ee\u6807\u7528\u4f8b\u65b9\u9762\u5b58\u5728\u4e00\u4e9b\u5173\u952e\u5dee\u5f02\uff1a<\/p>\n<ul>\n<li><strong>AutoGen<\/strong>\uff1a\u4e13\u6ce8\u4e8e\u4e8b\u4ef6\u9a71\u52a8\u3001\u5206\u5e03\u5f0f\u7684 agentic \u5e94\u7528\u7a0b\u5e8f\uff0c\u652f\u6301\u591a\u4e2a\u5927\u8bed\u8a00\u6a21\u578b (LLMs) \u548c SLM\u3001\u5de5\u5177\u4ee5\u53ca\u9ad8\u7ea7\u591a\u667a\u80fd\u4f53 (Multi-Agent) \u8bbe\u8ba1\u6a21\u5f0f\u3002<\/li>\n<li><strong>Semantic Kernel<\/strong>\uff1a\u4e13\u6ce8\u4e8e\u901a\u8fc7\u6355\u83b7\u66f4\u6df1\u5c42\u6b21\u7684\u8bed\u4e49\u542b\u4e49\u6765\u7406\u89e3\u548c\u751f\u6210\u7c7b\u4f3c\u4eba\u7c7b\u7684\u6587\u672c\u5185\u5bb9\u3002\u5b83\u65e8\u5728\u81ea\u52a8\u5316\u590d\u6742\u7684\u5de5\u4f5c\u6d41\u7a0b\u5e76\u6839\u636e\u9879\u76ee\u76ee\u6807\u542f\u52a8\u4efb\u52a1\u3002<\/li>\n<li><strong>Azure AI Agent Service<\/strong>\uff1a\u63d0\u4f9b\u66f4\u7075\u6d3b\u7684\u6a21\u578b\uff0c\u4f8b\u5982\u76f4\u63a5\u8c03\u7528\u5f00\u6e90\u5927\u8bed\u8a00\u6a21\u578b (LLMs)\uff0c\u5982 Llama 3\u3001Mistral \u548c Cohere\u3002\u5b83\u63d0\u4f9b\u66f4\u5f3a\u5927\u7684\u4f01\u4e1a\u5b89\u5168\u673a\u5236\u548c\u6570\u636e\u5b58\u50a8\u65b9\u6cd5\uff0c\u4f7f\u5176\u9002\u7528\u4e8e\u4f01\u4e1a\u5e94\u7528\u7a0b\u5e8f\u3002<\/li>\n<\/ul>\n<p>\u4ecd\u7136\u4e0d\u786e\u5b9a\u9009\u62e9\u54ea\u4e00\u4e2a\uff1f<\/p>\n<h3>\u7528\u4f8b<\/h3>\n<p>\u8ba9\u6211\u4eec\u901a\u8fc7\u4e00\u4e9b\u5e38\u89c1\u7684\u7528\u4f8b\u6765\u770b\u770b\u6211\u4eec\u662f\u5426\u53ef\u4ee5\u5e2e\u52a9\u60a8\uff1a<\/p>\n<p>\u95ee\uff1a\u6211\u7684\u56e2\u961f\u6b63\u5728\u5f00\u53d1\u4e00\u4e2a\u6d89\u53ca\u81ea\u52a8\u5316\u4ee3\u7801\u751f\u6210\u548c\u6570\u636e\u5206\u6790\u4efb\u52a1\u7684\u9879\u76ee\u3002\u6211\u4eec\u5e94\u8be5\u4f7f\u7528\u54ea\u4e2a\u6846\u67b6\uff1f<\/p>\n<p>\u7b54\uff1aAutoGen \u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\u662f\u4e00\u4e2a\u4e0d\u9519\u7684\u9009\u62e9\uff0c\u56e0\u4e3a\u5b83\u4e13\u6ce8\u4e8e\u4e8b\u4ef6\u9a71\u52a8\u3001\u5206\u5e03\u5f0f\u7684 agentic \u5e94\u7528\u7a0b\u5e8f\uff0c\u5e76\u652f\u6301\u9ad8\u7ea7\u591a\u667a\u80fd\u4f53 (Multi-Agent) \u8bbe\u8ba1\u6a21\u5f0f\u3002<\/p>\n<p>\u95ee\uff1a\u5bf9\u4e8e\u6b64\u7528\u4f8b\uff0c\u662f\u4ec0\u4e48\u8ba9 AutoGen \u6bd4 Semantic Kernel \u548c Azure AI Agent Service \u66f4\u597d\uff1f<\/p>\n<p>\u7b54\uff1aAutoGen \u4e13\u4e3a\u4e8b\u4ef6\u9a71\u52a8\u3001\u5206\u5e03\u5f0f\u7684 agentic \u5e94\u7528\u7a0b\u5e8f\u800c\u8bbe\u8ba1\uff0c\u4f7f\u5176\u975e\u5e38\u9002\u5408\u81ea\u52a8\u5316\u4ee3\u7801\u751f\u6210\u548c\u6570\u636e\u5206\u6790\u4efb\u52a1\u3002\u5b83\u63d0\u4f9b\u4e86\u9ad8\u6548\u6784\u5efa\u590d\u6742\u591a\u667a\u80fd\u4f53 (Multi-Agent) \u7cfb\u7edf\u6240\u9700\u7684\u5de5\u5177\u548c\u529f\u80fd\u3002<\/p>\n<p>\u95ee\uff1a\u542c\u8d77\u6765 Azure AI Agent Service \u5728\u8fd9\u91cc\u4e5f\u53ef\u4ee5\u5de5\u4f5c\uff0c\u5b83\u6709\u4ee3\u7801\u751f\u6210\u7b49\u5de5\u5177\uff1f<\/p>\n<p>\u7b54\uff1a\u662f\u7684\uff0cAzure AI Agent Service \u4e5f\u652f\u6301\u4ee3\u7801\u751f\u6210\u548c\u6570\u636e\u5206\u6790\u4efb\u52a1\uff0c\u4f46\u5b83\u53ef\u80fd\u66f4\u9002\u5408\u9700\u8981\u5b89\u5168\u3001\u53ef\u6269\u5c55\u548c\u7075\u6d3b\u7684 AI \u667a\u80fd\u4f53 (Agent) \u90e8\u7f72\u7684\u4f01\u4e1a\u5e94\u7528\u7a0b\u5e8f\u3002AutoGen \u66f4\u4e13\u6ce8\u4e8e\u4e8b\u4ef6\u9a71\u52a8\u3001\u5206\u5e03\u5f0f\u7684 agentic \u5e94\u7528\u7a0b\u5e8f\u548c\u9ad8\u7ea7\u591a\u667a\u80fd\u4f53 (Multi-Agent) \u8bbe\u8ba1\u6a21\u5f0f\u3002<\/p>\n<p>\u95ee\uff1a\u6240\u4ee5\u4f60\u662f\u8bf4\u5982\u679c\u6211\u60f3\u8fdb\u5165\u4f01\u4e1a\u7ea7\uff0c\u6211\u5e94\u8be5\u9009\u62e9 Azure AI Agent Service\uff1f<\/p>\n<p>\u7b54\uff1a\u662f\u7684\uff0cAzure AI Agent Service \u4e13\u4e3a\u9700\u8981\u5b89\u5168\u3001\u53ef\u6269\u5c55\u548c\u7075\u6d3b\u7684 AI \u667a\u80fd\u4f53 (Agent) \u90e8\u7f72\u7684\u4f01\u4e1a\u5e94\u7528\u7a0b\u5e8f\u800c\u8bbe\u8ba1\u3002\u5b83\u63d0\u4f9b\u66f4\u5f3a\u5927\u7684\u4f01\u4e1a\u5b89\u5168\u673a\u5236\u548c\u6570\u636e\u5b58\u50a8\u65b9\u6cd5\uff0c\u4f7f\u5176\u9002\u7528\u4e8e\u4f01\u4e1a\u7528\u4f8b\u3002<\/p>\n<p>\u8ba9\u6211\u4eec\u5728\u8868\u683c\u4e2d\u603b\u7ed3\u4e00\u4e0b\u5173\u952e\u533a\u522b\uff1a<\/p>\n<table>\n<thead>\n<tr>\n<th>\u6846\u67b6<\/th>\n<th>\u91cd\u70b9<\/th>\n<th>\u6838\u5fc3\u6982\u5ff5<\/th>\n<th>\u7528\u4f8b<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>AutoGen<\/td>\n<td>\u4e8b\u4ef6\u9a71\u52a8\u3001\u5206\u5e03\u5f0f\u7684 agentic \u5e94\u7528\u7a0b\u5e8f<\/td>\n<td>\u667a\u80fd\u4f53 (Agents)\u3001\u89d2\u8272 (Personas)\u3001\u51fd\u6570 (Functions)\u3001\u6570\u636e (Data)<\/td>\n<td>\u4ee3\u7801\u751f\u6210\u3001\u6570\u636e\u5206\u6790\u4efb\u52a1<\/td>\n<\/tr>\n<tr>\n<td>Semantic Kernel<\/td>\n<td>\u7406\u89e3\u548c\u751f\u6210\u7c7b\u4eba\u6587\u672c\u5185\u5bb9<\/td>\n<td>\u667a\u80fd\u4f53 (Agents)\u3001\u6a21\u5757\u5316\u7ec4\u4ef6 (Modular Components)\u3001\u534f\u4f5c (Collaboration)<\/td>\n<td>\u81ea\u7136\u8bed\u8a00\u7406\u89e3\u3001\u5185\u5bb9\u751f\u6210<\/td>\n<\/tr>\n<tr>\n<td>Azure AI Agent Service<\/td>\n<td>\u7075\u6d3b\u7684\u6a21\u578b\u3001\u4f01\u4e1a\u5b89\u5168\u6027\u3001\u4ee3\u7801\u751f\u6210\u3001\u5de5\u5177\u8c03\u7528 (Tool calling)<\/td>\n<td>\u6a21\u5757\u5316 (Modularity)\u3001\u534f\u4f5c (Collaboration)\u3001\u6d41\u7a0b\u7f16\u6392 (Process Orchestration)<\/td>\n<td>\u5b89\u5168\u3001\u53ef\u6269\u5c55\u548c\u7075\u6d3b\u7684 AI \u667a\u80fd\u4f53 (Agent) \u90e8\u7f72<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>\u8fd9\u4e9b\u6846\u67b6\u4e2d\u6bcf\u4e00\u4e2a\u7684\u7406\u60f3\u7528\u4f8b\u662f\u4ec0\u4e48\uff1f<\/p>\n<ul>\n<li><strong>AutoGen<\/strong>\uff1a\u4e8b\u4ef6\u9a71\u52a8\u3001\u5206\u5e03\u5f0f\u7684 agentic 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\u90e8\u7f72\u3002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u6211\u53ef\u4ee5\u76f4\u63a5\u96c6\u6210\u6211\u73b0\u6709\u7684 Azure \u751f\u6001\u7cfb\u7edf\u5de5\u5177\uff0c\u8fd8\u662f\u9700\u8981\u72ec\u7acb\u7684\u89e3\u51b3\u65b9\u6848\uff1f<\/h2>\n<p>\u7b54\u6848\u662f\u80af\u5b9a\u7684\uff0c\u60a8\u53ef\u4ee5\u76f4\u63a5\u5c06\u73b0\u6709\u7684 Azure \u751f\u6001\u7cfb\u7edf\u5de5\u5177\u4e0e Azure AI Agent Service \u96c6\u6210\uff0c\u7279\u522b\u662f\u56e0\u4e3a\u5b83\u65e8\u5728\u4e0e\u5176\u4ed6 Azure \u670d\u52a1\u65e0\u7f1d\u534f\u4f5c\u3002\u4f8b\u5982\uff0c\u60a8\u53ef\u4ee5\u96c6\u6210 Bing\u3001Azure AI \u641c\u7d22\u548c Azure Functions\u3002\u8fd8\u4e0e Azure AI Foundry \u8fdb\u884c\u4e86\u6df1\u5ea6\u96c6\u6210\u3002<\/p>\n<p>\u5bf9\u4e8e AutoGen \u548c Semantic Kernel\uff0c\u60a8\u4e5f\u53ef\u4ee5\u4e0e Azure \u670d\u52a1\u96c6\u6210\uff0c\u4f46\u8fd9\u53ef\u80fd\u9700\u8981\u60a8\u4ece\u4ee3\u7801\u4e2d\u8c03\u7528 Azure 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