{"id":21474,"date":"2025-02-19T16:48:29","date_gmt":"2025-02-19T08:48:29","guid":{"rendered":"https:\/\/www.aisharenet.com\/?p=21474"},"modified":"2025-02-19T16:48:29","modified_gmt":"2025-02-19T08:48:29","slug":"weiruan-ai-agent-rua-4","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/de\/weiruan-ai-agent-rua-4\/","title":{"rendered":"\u5fae\u8f6f AI Agent \u5165\u95e8\u8bfe\u7a0b\uff1a\u5de5\u5177\u4f7f\u7528\uff08\u8c03\u7528\uff09\u8bbe\u8ba1\u6a21\u5f0f"},"content":{"rendered":"<p>\u5de5\u5177\u4e4b\u6240\u4ee5\u6709\u8da3\uff0c\u662f\u56e0\u4e3a\u5b83\u4eec\u5141\u8bb8 AI 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\u6570\u636e\u5e93\u8fdb\u884c\u6570\u636e\u5206\u6790\uff0c\u83b7\u53d6\u80a1\u7968\u4ef7\u683c\u6216\u5929\u6c14\u4fe1\u606f)\u3002<\/li>\n<li><strong>\u4ee3\u7801\u6267\u884c\u548c\u89e3\u91ca\uff1a<\/strong>\u00a0\u667a\u80fd\u4f53\u53ef\u4ee5\u6267\u884c\u4ee3\u7801\u6216\u811a\u672c\u6765\u89e3\u51b3\u6570\u5b66\u95ee\u9898\u3001\u751f\u6210\u62a5\u544a\u6216\u6267\u884c\u6a21\u62df\u3002<\/li>\n<li><strong>\u5de5\u4f5c\u6d41\u81ea\u52a8\u5316\uff1a<\/strong>\u00a0\u901a\u8fc7\u96c6\u6210\u4efb\u52a1\u8c03\u5ea6\u7a0b\u5e8f\u3001\u7535\u5b50\u90ae\u4ef6\u670d\u52a1\u6216\u6570\u636e\u7ba1\u9053\u7b49\u5de5\u5177\u6765\u81ea\u52a8\u5316\u91cd\u590d\u6216\u591a\u6b65\u9aa4\u5de5\u4f5c\u6d41\u3002<\/li>\n<li><strong>\u5ba2\u6237\u652f\u6301\uff1a<\/strong>\u00a0\u667a\u80fd\u4f53\u53ef\u4ee5\u4e0e CRM \u7cfb\u7edf\u3001\u5de5\u5355\u5e73\u53f0\u6216\u77e5\u8bc6\u5e93\u4ea4\u4e92\u4ee5\u89e3\u51b3\u7528\u6237\u67e5\u8be2\u3002<\/li>\n<li><strong>\u5185\u5bb9\u751f\u6210\u548c\u7f16\u8f91\uff1a<\/strong>\u00a0\u667a\u80fd\u4f53\u53ef\u4ee5\u5229\u7528\u8bed\u6cd5\u68c0\u67e5\u5668\u3001\u6587\u672c\u6458\u8981\u5668\u6216\u5185\u5bb9\u5b89\u5168\u8bc4\u4f30\u5668\u7b49\u5de5\u5177\u6765\u534f\u52a9\u5185\u5bb9\u521b\u5efa\u4efb\u52a1\u3002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u5b9e\u73b0\u5de5\u5177\u4f7f\u7528\u8bbe\u8ba1\u6a21\u5f0f\u9700\u8981\u54ea\u4e9b\u5143\u7d20\/\u6784\u5efa\u5757\uff1f<\/h2>\n<p>\u8fd9\u4e9b\u6784\u5efa\u5757\u5141\u8bb8 AI \u667a\u80fd\u4f53\u6267\u884c\u5404\u79cd\u5404\u6837\u7684\u4efb\u52a1\u3002\u8ba9\u6211\u4eec\u770b\u770b\u5b9e\u73b0\u5de5\u5177\u4f7f\u7528\u8bbe\u8ba1\u6a21\u5f0f\u6240\u9700\u7684\u5173\u952e\u5143\u7d20\uff1a<\/p>\n<ul>\n<li><strong>\u51fd\u6570\/\u5de5\u5177\u8c03\u7528<\/strong>\uff1a\u8fd9\u662f\u4f7f\u5927\u8bed\u8a00\u6a21\u578b (LLMs) \u80fd\u591f\u4e0e\u5de5\u5177\u4ea4\u4e92\u7684\u4e3b\u8981\u65b9\u5f0f\u3002\u51fd\u6570\u6216\u5de5\u5177\u662f\u667a\u80fd\u4f53\u7528\u6765\u6267\u884c\u4efb\u52a1\u7684\u53ef\u91cd\u7528\u4ee3\u7801\u5757\u3002\u8fd9\u4e9b\u51fd\u6570\u53ef\u4ee5\u662f\u7b80\u5355\u7684\u51fd\u6570 (\u5982\u8ba1\u7b97\u5668)\uff0c\u4e5f\u53ef\u4ee5\u662f\u7b2c\u4e09\u65b9\u670d\u52a1 (\u5982\u80a1\u7968\u4ef7\u683c\u67e5\u8be2\u6216\u5929\u6c14\u9884\u62a5 1) \u7684 API \u8c03\u7528\u3002<\/li>\n<li><strong>\u52a8\u6001\u4fe1\u606f\u68c0\u7d22<\/strong>\uff1a\u667a\u80fd\u4f53\u53ef\u4ee5\u67e5\u8be2\u5916\u90e8 API \u6216\u6570\u636e\u5e93\u4ee5\u83b7\u53d6\u6700\u65b0\u6570\u636e\u3002\u8fd9\u5bf9\u4e8e\u6570\u636e\u5206\u6790\u3001\u83b7\u53d6\u80a1\u7968\u4ef7\u683c\u6216\u5929\u6c14\u4fe1\u606f 1 \u7b49\u4efb\u52a1\u975e\u5e38\u6709\u7528\u3002<\/li>\n<li><strong>\u4ee3\u7801\u6267\u884c\u548c\u89e3\u91ca<\/strong>\uff1a\u667a\u80fd\u4f53\u53ef\u4ee5\u6267\u884c\u4ee3\u7801\u6216\u811a\u672c\u6765\u89e3\u51b3\u6570\u5b66\u95ee\u9898\u3001\u751f\u6210\u62a5\u544a\u6216\u6267\u884c\u6a21\u62df 1\u3002<\/li>\n<li><strong>\u5de5\u4f5c\u6d41\u81ea\u52a8\u5316<\/strong>\uff1a\u8fd9\u6d89\u53ca\u901a\u8fc7\u96c6\u6210\u4efb\u52a1\u8c03\u5ea6\u7a0b\u5e8f\u3001\u7535\u5b50\u90ae\u4ef6\u670d\u52a1\u6216\u6570\u636e\u7ba1\u9053 1 \u7b49\u5de5\u5177\u6765\u81ea\u52a8\u5316\u91cd\u590d\u6216\u591a\u6b65\u9aa4\u5de5\u4f5c\u6d41\u3002<\/li>\n<li><strong>\u5ba2\u6237\u652f\u6301<\/strong>\uff1a\u667a\u80fd\u4f53\u53ef\u4ee5\u4e0e CRM \u7cfb\u7edf\u3001\u5de5\u5355\u5e73\u53f0\u6216\u77e5\u8bc6\u5e93\u4ea4\u4e92\u4ee5\u89e3\u51b3\u7528\u6237\u67e5\u8be2 1\u3002<\/li>\n<li><strong>\u5185\u5bb9\u751f\u6210\u548c\u7f16\u8f91\uff1a\u667a\u80fd\u4f53\u53ef\u4ee5\u5229\u7528\u8bed\u6cd5\u68c0\u67e5\u5668\u3001\u6587\u672c\u6458\u8981\u5668\u6216\u5185\u5bb9\u5b89\u5168\u8bc4\u4f30\u5668\u7b49\u5de5\u5177\u6765\u534f\u52a9\u5185\u5bb9\u521b\u5efa\u4efb\u52a1<\/strong>\u3002<\/li>\n<\/ul>\n<p>\u63a5\u4e0b\u6765\uff0c\u8ba9\u6211\u4eec\u66f4\u8be6\u7ec6\u5730\u4e86\u89e3\u51fd\u6570\/\u5de5\u5177\u8c03\u7528\u3002<\/p>\n<h3>\u51fd\u6570\/\u5de5\u5177\u8c03\u7528<\/h3>\n<p>\u51fd\u6570\u8c03\u7528\u662f\u6211\u4eec\u4f7f\u5927\u8bed\u8a00\u6a21\u578b (LLMs) \u80fd\u591f\u4e0e\u5de5\u5177\u4ea4\u4e92\u7684\u4e3b\u8981\u65b9\u5f0f\u3002\u4f60\u7ecf\u5e38\u4f1a\u770b\u5230\u201c\u51fd\u6570\u201d\u548c\u201c\u5de5\u5177\u201d\u4e92\u6362\u4f7f\u7528\uff0c\u56e0\u4e3a\u201c\u51fd\u6570\u201d(\u53ef\u91cd\u7528\u4ee3\u7801\u5757) \u662f\u667a\u80fd\u4f53\u7528\u6765\u6267\u884c\u4efb\u52a1\u7684\u201c\u5de5\u5177\u201d\u3002\u4e3a\u4e86\u8c03\u7528\u51fd\u6570\u7684\u4ee3\u7801\uff0c\u5927\u8bed\u8a00\u6a21\u578b (LLM) \u5fc5\u987b\u5c06\u7528\u6237\u7684\u8bf7\u6c42\u4e0e\u51fd\u6570\u7684\u63cf\u8ff0\u8fdb\u884c\u6bd4\u8f83\u3002\u4e3a\u6b64\uff0c\u5305\u542b\u6240\u6709\u53ef\u7528\u51fd\u6570\u63cf\u8ff0\u7684\u6a21\u5f0f\u5c06\u53d1\u9001\u5230\u5927\u8bed\u8a00\u6a21\u578b (LLM)\u3002\u7136\u540e\uff0c\u5927\u8bed\u8a00\u6a21\u578b (LLM) \u9009\u62e9\u6700\u9002\u5408\u8be5\u4efb\u52a1\u7684\u51fd\u6570\u5e76\u8fd4\u56de\u5176\u540d\u79f0\u548c\u53c2\u6570\u3002\u9009\u5b9a\u7684\u51fd\u6570\u88ab\u8c03\u7528\uff0c\u5176\u54cd\u5e94\u88ab\u53d1\u9001\u56de\u5927\u8bed\u8a00\u6a21\u578b (LLM)\uff0c\u5927\u8bed\u8a00\u6a21\u578b (LLM) \u4f7f\u7528\u8be5\u4fe1\u606f\u6765\u54cd\u5e94\u7528\u6237\u7684\u8bf7\u6c42\u3002<\/p>\n<p>\u5bf9\u4e8e\u5f00\u53d1\u4eba\u5458\u4e3a\u667a\u80fd\u4f53\u5b9e\u73b0\u51fd\u6570\u8c03\u7528\uff0c\u4f60\u9700\u8981\uff1a<\/p>\n<ol>\n<li>\u652f\u6301\u51fd\u6570\u8c03\u7528\u7684\u5927\u8bed\u8a00\u6a21\u578b (LLM) \u6a21\u578b<\/li>\n<li>\u5305\u542b\u51fd\u6570\u63cf\u8ff0\u7684\u6a21\u5f0f<\/li>\n<li>\u6bcf\u4e2a\u63cf\u8ff0\u7684\u51fd\u6570\u7684\u4ee3\u7801<\/li>\n<\/ol>\n<p>\u8ba9\u6211\u4eec\u4ee5\u83b7\u53d6\u57ce\u5e02\u5f53\u524d\u65f6\u95f4\u7684\u793a\u4f8b\u6765\u8bf4\u660e\uff1a<\/p>\n<ol>\n<li><strong>\u521d\u59cb\u5316\u652f\u6301\u51fd\u6570\u8c03\u7528\u7684\u5927\u8bed\u8a00\u6a21\u578b (LLM)\uff1a<\/strong><br \/>\n\u5e76\u975e\u6240\u6709\u6a21\u578b\u90fd\u652f\u6301\u51fd\u6570\u8c03\u7528\uff0c\u56e0\u6b64\u68c0\u67e5\u4f60\u6b63\u5728\u4f7f\u7528\u7684\u5927\u8bed\u8a00\u6a21\u578b (LLM) \u662f\u5426\u652f\u6301\u975e\u5e38\u91cd\u8981\u3002<a href=\"https:\/\/learn.microsoft.com\/azure\/ai-services\/openai\/how-to\/function-calling\">Azure OpenAI<\/a>\u00a0\u652f\u6301\u51fd\u6570\u8c03\u7528\u3002\u6211\u4eec\u53ef\u4ee5\u9996\u5148\u521d\u59cb\u5316 Azure OpenAI \u5ba2\u6237\u7aef\u3002<\/p>\n<pre><code># Initialize the Azure OpenAI client\r\nclient = AzureOpenAI(\r\nazure_endpoint = os.getenv(\"AZURE_OPENAI_ENDPOINT\"), \r\napi_key=os.getenv(\"AZURE_OPENAI_API_KEY\"),  \r\napi_version=\"2024-05-01-preview\"\r\n)\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u521b\u5efa\u51fd\u6570\u6a21\u5f0f<\/strong>\uff1a<br \/>\n\u63a5\u4e0b\u6765\uff0c\u6211\u4eec\u5c06\u5b9a\u4e49\u4e00\u4e2a JSON \u6a21\u5f0f\uff0c\u5176\u4e2d\u5305\u542b\u51fd\u6570\u540d\u79f0\u3001\u51fd\u6570\u529f\u80fd\u7684\u63cf\u8ff0\u4ee5\u53ca\u51fd\u6570\u53c2\u6570\u7684\u540d\u79f0\u548c\u63cf\u8ff0\u3002\u7136\u540e\uff0c\u6211\u4eec\u5c06\u91c7\u7528\u6b64\u6a21\u5f0f\u5e76\u5c06\u5176\u4e0e\u7528\u6237\u7684\u8bf7\u6c42\u4e00\u8d77\u4f20\u9012\u7ed9\u5148\u524d\u521b\u5efa\u7684\u5ba2\u6237\u7aef\uff0c\u4ee5\u67e5\u627e\u65e7\u91d1\u5c71\u7684\u65f6\u95f4\u3002\u9700\u8981\u6ce8\u610f\u7684\u662f\uff0c\u8fd4\u56de\u7684\u662f\u00a0<strong>\u5de5\u5177\u8c03\u7528<\/strong>\uff0c<strong>\u800c\u4e0d\u662f<\/strong>\u00a0\u95ee\u9898\u7684\u6700\u7ec8\u7b54\u6848\u3002\u5982\u524d\u6240\u8ff0\uff0c\u5927\u8bed\u8a00\u6a21\u578b (LLM) \u8fd4\u56de\u5b83\u4e3a\u4efb\u52a1\u9009\u62e9\u7684\u51fd\u6570\u7684\u540d\u79f0\uff0c\u4ee5\u53ca\u5c06\u4f20\u9012\u7ed9\u5b83\u7684\u53c2\u6570\u3002<\/li>\n<\/ol>\n<pre><code># Function description for the model to read\r\ntools = [\r\n{\r\n\"type\": \"function\",\r\n\"function\": {\r\n\"name\": \"get_current_time\",\r\n\"description\": \"Get the current time in a given location\",\r\n\"parameters\": {\r\n\"type\": \"object\",\r\n\"properties\": {\r\n\"location\": {\r\n\"type\": \"string\",\r\n\"description\": \"The city name, e.g. San Francisco\",\r\n},\r\n},\r\n\"required\": [\"location\"],\r\n},\r\n}\r\n}\r\n]\r\n<\/code><\/pre>\n<pre><code># Initial user message\r\nmessages = [{\"role\": \"user\", \"content\": \"What's the current time in San Francisco\"}] \r\n# First API call: Ask the model to use the function\r\nresponse = client.chat.completions.create(\r\nmodel=deployment_name,\r\nmessages=messages,\r\ntools=tools,\r\ntool_choice=\"auto\",\r\n)\r\n# Process the model's response\r\nresponse_message = response.choices[0].message\r\nmessages.append(response_message)\r\nprint(\"Model's response:\")  \r\nprint(response_message)\r\n<\/code><\/pre>\n<pre><code>Model's response:\r\nChatCompletionMessage(content=None, role='assistant', function_call=None, tool_calls=[ChatCompletionMessageToolCall(id='call_pOsKdUlqvdyttYB67MOj434b', function=Function(arguments='{\"location\":\"San Francisco\"}', name='get_current_time'), type='function')])\r\n<\/code><\/pre>\n<ol>\n<li><strong>\u6267\u884c\u4efb\u52a1\u6240\u9700\u7684\u51fd\u6570\u4ee3\u7801\uff1a<\/strong><br \/>\n\u73b0\u5728\u5927\u8bed\u8a00\u6a21\u578b (LLM) \u5df2\u7ecf\u9009\u62e9\u4e86\u9700\u8981\u8fd0\u884c\u7684\u51fd\u6570\uff0c\u9700\u8981\u5b9e\u73b0\u5e76\u6267\u884c\u6267\u884c\u4efb\u52a1\u7684\u4ee3\u7801\u3002\u6211\u4eec\u53ef\u4ee5\u5b9e\u73b0\u4ee3\u7801\u4ee5\u83b7\u53d6 Python \u4e2d\u7684\u5f53\u524d\u65f6\u95f4\u3002\u6211\u4eec\u8fd8\u9700\u8981\u7f16\u5199\u4ee3\u7801\u4ee5\u4ece response_message \u4e2d\u63d0\u53d6\u540d\u79f0\u548c\u53c2\u6570\u4ee5\u83b7\u53d6\u6700\u7ec8\u7ed3\u679c\u3002<\/p>\n<pre><code>def get_current_time(location):\r\n\"\"\"Get the current time for a given location\"\"\"\r\nprint(f\"get_current_time called with location: {location}\")  \r\nlocation_lower = location.lower()\r\nfor key, timezone in TIMEZONE_DATA.items():\r\nif key in location_lower:\r\nprint(f\"Timezone found for {key}\")  \r\ncurrent_time = datetime.now(ZoneInfo(timezone)).strftime(\"%I:%M %p\")\r\nreturn json.dumps({\r\n\"location\": location,\r\n\"current_time\": current_time\r\n})\r\nprint(f\"No timezone data found for {location_lower}\")  \r\nreturn json.dumps({\"location\": location, \"current_time\": \"unknown\"})\r\n<\/code><\/pre>\n<pre><code># Handle function calls\r\nif response_message.tool_calls:\r\nfor tool_call in response_message.tool_calls:\r\nif tool_call.function.name == \"get_current_time\":\r\nfunction_args = json.loads(tool_call.function.arguments)\r\ntime_response = get_current_time(\r\nlocation=function_args.get(\"location\")\r\n)\r\nmessages.append({\r\n\"tool_call_id\": tool_call.id,\r\n\"role\": \"tool\",\r\n\"name\": \"get_current_time\",\r\n\"content\": time_response,\r\n})\r\nelse:\r\nprint(\"No tool calls were made by the model.\")  \r\n# Second API call: Get the final response from the model\r\nfinal_response = client.chat.completions.create(\r\nmodel=deployment_name,\r\nmessages=messages,\r\n)\r\nreturn final_response.choices[0].message.content\r\n<\/code><\/pre>\n<pre><code>get_current_time called with location: San Francisco\r\nTimezone found for san francisco\r\nThe current time in San Francisco is 09:24 AM.\r\n<\/code><\/pre>\n<\/li>\n<\/ol>\n<p>\u51fd\u6570\u8c03\u7528\u662f\u5927\u591a\u6570 (\u5982\u679c\u4e0d\u662f\u5168\u90e8) \u667a\u80fd\u4f53\u5de5\u5177\u4f7f\u7528\u8bbe\u8ba1\u7684\u6838\u5fc3\uff0c\u4f46\u662f\u4ece\u5934\u5f00\u59cb\u5b9e\u73b0\u5b83\u6709\u65f6\u53ef\u80fd\u5177\u6709\u6311\u6218\u6027\u3002\u6b63\u5982\u6211\u4eec\u5728\u00a0<a href=\"https:\/\/github.com\/microsoft\/ai-agents-for-beginners\/blob\/main\/02-explore-agentic-frameworks\">\u7b2c 2 \u8bfe<\/a>\u00a0\u4e2d\u5b66\u5230\u7684\u90a3\u6837\uff0cAgentic \u6846\u67b6\u4e3a\u6211\u4eec\u63d0\u4f9b\u4e86\u9884\u6784\u5efa\u7684\u6784\u5efa\u5757\u6765\u5b9e\u73b0\u5de5\u5177\u4f7f\u7528\u3002<\/p>\n<p>&nbsp;<\/p>\n<h2>\u4f7f\u7528 Agentic \u6846\u67b6\u7684\u5de5\u5177\u4f7f\u7528\u793a\u4f8b<\/h2>\n<p>\u4ee5\u4e0b\u662f\u4e00\u4e9b\u5982\u4f55\u4f7f\u7528\u4e0d\u540c\u7684 agentic \u6846\u67b6\u5b9e\u73b0\u5de5\u5177\u4f7f\u7528\u8bbe\u8ba1\u6a21\u5f0f\u7684\u793a\u4f8b\uff1a<\/p>\n<h3>Semantic Kernel<\/h3>\n<p>Semantic Kernel\u00a0\u662f\u4e00\u4e2a\u5f00\u6e90 AI \u6846\u67b6\uff0c\u9002\u7528\u4e8e\u4f7f\u7528\u5927\u8bed\u8a00\u6a21\u578b (LLMs) \u7684 .NET\u3001Python \u548c Java \u5f00\u53d1\u4eba\u5458\u3002\u5b83\u901a\u8fc7\u79f0\u4e3a\u00a0<a href=\"https:\/\/learn.microsoft.com\/semantic-kernel\/concepts\/ai-services\/chat-completion\/function-calling\/?pivots=programming-language-python#1-serializing-the-functions\">\u5e8f\u5217\u5316<\/a>\u00a0\u7684\u8fc7\u7a0b\u81ea\u52a8\u5411\u6a21\u578b\u63cf\u8ff0\u4f60\u7684\u51fd\u6570\u53ca\u5176\u53c2\u6570\uff0c\u4ece\u800c\u7b80\u5316\u4e86\u4f7f\u7528\u51fd\u6570\u8c03\u7528\u7684\u8fc7\u7a0b\u3002\u5b83\u8fd8\u5904\u7406\u6a21\u578b\u548c\u4f60\u7684\u4ee3\u7801\u4e4b\u95f4\u7684\u6765\u56de\u901a\u4fe1\u3002\u4f7f\u7528\u50cf Semantic Kernel \u8fd9\u6837\u7684 agentic \u6846\u67b6\u7684\u53e6\u4e00\u4e2a\u4f18\u70b9\u662f\uff0c\u5b83\u5141\u8bb8\u4f60\u8bbf\u95ee\u9884\u6784\u5efa\u7684\u5de5\u5177\uff0c\u4f8b\u5982\u00a0<a href=\"https:\/\/github.com\/microsoft\/semantic-kernel\/blob\/main\/python\/samples\/getting_started_with_agents\/openai_assistant\/step4_assistant_tool_file_search.py\">\u6587\u4ef6\u641c\u7d22<\/a>\u00a0\u548c\u00a0<a href=\"https:\/\/github.com\/microsoft\/semantic-kernel\/blob\/main\/python\/samples\/getting_started_with_agents\/openai_assistant\/step3_assistant_tool_code_interpreter.py\">\u4ee3\u7801\u89e3\u91ca\u5668<\/a>\u3002<\/p>\n<p>\u4e0b\u56fe\u8bf4\u660e\u4e86\u4f7f\u7528 Semantic Kernel \u8fdb\u884c\u51fd\u6570\u8c03\u7528\u7684\u8fc7\u7a0b\uff1a<\/p>\n<p><img decoding=\"async\" title=\"\u5fae\u8f6f AI Agent \u5165\u95e8\u8bfe\u7a0b\uff1a\u5de5\u5177\u4f7f\u7528\uff08\u8c03\u7528\uff09\u8bbe\u8ba1\u6a21\u5f0f-1\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/02\/8ccd48ef403f3c2.png\" alt=\"\u5fae\u8f6f AI Agent \u5165\u95e8\u8bfe\u7a0b\uff1a\u5de5\u5177\u4f7f\u7528\uff08\u8c03\u7528\uff09\u8bbe\u8ba1\u6a21\u5f0f-1\" \/><\/p>\n<p>\u5728 Semantic Kernel \u4e2d\uff0c\u51fd\u6570\/\u5de5\u5177\u88ab\u79f0\u4e3a\u00a0<a href=\"https:\/\/learn.microsoft.com\/semantic-kernel\/concepts\/plugins\/?pivots=programming-language-python\">\u63d2<\/a>\u4ef6\u3002\u6211\u4eec\u53ef\u4ee5\u901a\u8fc7\u5c06\u6211\u4eec\u4e4b\u524d\u770b\u5230\u7684\u00a0<code>get_current_time<\/code>\u00a0\u51fd\u6570\u8f6c\u6362\u4e3a\u4e00\u4e2a\u7c7b\uff0c\u5e76\u5c06\u8be5\u51fd\u6570\u653e\u5728\u5176\u4e2d\uff0c\u4ece\u800c\u5c06\u5176\u8f6c\u6362\u4e3a\u63d2\u4ef6\u3002\u6211\u4eec\u8fd8\u53ef\u4ee5\u5bfc\u5165\u00a0<code>kernel_function<\/code>\u00a0\u88c5\u9970\u5668\uff0c\u8be5\u88c5\u9970\u5668\u63a5\u53d7\u51fd\u6570\u7684\u63cf\u8ff0\u3002\u7136\u540e\uff0c\u5f53\u4f60\u4f7f\u7528 GetCurrentTimePlugin \u521b\u5efa\u5185\u6838\u65f6\uff0c\u5185\u6838\u5c06\u81ea\u52a8\u5e8f\u5217\u5316\u51fd\u6570\u53ca\u5176\u53c2\u6570\uff0c\u4ece\u800c\u521b\u5efa\u8981\u5728\u6b64\u8fc7\u7a0b\u4e2d\u53d1\u9001\u5230\u5927\u8bed\u8a00\u6a21\u578b (LLM) \u7684\u6a21\u5f0f\u3002<\/p>\n<pre><code>from semantic_kernel.functions import kernel_function\r\nclass GetCurrentTimePlugin:\r\nasync def __init__(self, location):\r\nself.location = location\r\n    @kernel_function(\r\ndescription=\"Get the current time for a given location\"\r\n)\r\ndef get_current_time(location: str = \"\"):\r\n...\r\n<\/code><\/pre>\n<pre><code>from semantic_kernel import Kernel\r\n# Create the kernel\r\nkernel = Kernel()\r\n# Create the plugin\r\nget_current_time_plugin = GetCurrentTimePlugin(location)\r\n# Add the plugin to the kernel\r\nkernel.add_plugin(get_current_time_plugin)\r\n<\/code><\/pre>\n<h3>Azure AI Agent Service<\/h3>\n<p>Azure AI Agent Service\u00a0\u662f\u4e00\u4e2a\u8f83\u65b0\u7684 agentic \u6846\u67b6\uff0c\u65e8\u5728\u4f7f\u5f00\u53d1\u4eba\u5458\u80fd\u591f\u5b89\u5168\u5730\u6784\u5efa\u3001\u90e8\u7f72\u548c\u6269\u5c55\u9ad8\u8d28\u91cf\u3001\u53ef\u6269\u5c55\u7684 AI \u667a\u80fd\u4f53\uff0c\u800c\u65e0\u9700\u7ba1\u7406\u5e95\u5c42\u8ba1\u7b97\u548c\u5b58\u50a8\u8d44\u6e90\u3002\u5b83\u5bf9\u4e8e\u4f01\u4e1a\u5e94\u7528\u7a0b\u5e8f\u7279\u522b\u6709\u7528\uff0c\u56e0\u4e3a\u5b83\u662f\u4e00\u4e2a\u5177\u6709\u4f01\u4e1a\u7ea7\u5b89\u5168\u6027\u7684\u5b8c\u5168\u6258\u7ba1\u670d\u52a1\u3002<\/p>\n<p>\u4e0e\u76f4\u63a5\u4f7f\u7528\u5927\u8bed\u8a00\u6a21\u578b (LLM) API \u8fdb\u884c\u5f00\u53d1\u76f8\u6bd4\uff0cAzure AI Agent Service \u63d0\u4f9b\u4e86\u4e00\u4e9b\u4f18\u52bf\uff0c\u5305\u62ec\uff1a<\/p>\n<ul>\n<li>\u81ea\u52a8\u5de5\u5177\u8c03\u7528 \u2013 \u65e0\u9700\u89e3\u6790\u5de5\u5177\u8c03\u7528\u3001\u8c03\u7528\u5de5\u5177\u548c\u5904\u7406\u54cd\u5e94\uff1b\u6240\u6709\u8fd9\u4e9b\u73b0\u5728\u90fd\u5728\u670d\u52a1\u5668\u7aef\u5b8c\u6210<\/li>\n<li>\u5b89\u5168\u7ba1\u7406\u7684\u6570\u636e \u2013 \u4f60\u53ef\u4ee5\u4f9d\u8d56\u7ebf\u7a0b\u6765\u5b58\u50a8\u6240\u9700\u7684\u6240\u6709\u4fe1\u606f\uff0c\u800c\u4e0d\u662f\u7ba1\u7406\u81ea\u5df1\u7684\u5bf9\u8bdd\u72b6\u6001<\/li>\n<li>\u5f00\u7bb1\u5373\u7528\u7684\u5de5\u5177 \u2013 \u4f60\u53ef\u4ee5\u7528\u6765\u4e0e\u6570\u636e\u6e90\u4ea4\u4e92\u7684\u5de5\u5177\uff0c\u4f8b\u5982 Bing\u3001Azure AI \u641c\u7d22\u548c Azure Functions\u3002<\/li>\n<\/ul>\n<p>Azure AI Agent Service \u4e2d\u53ef\u7528\u7684\u5de5\u5177\u53ef\u4ee5\u5206\u4e3a\u4e24\u7c7b\uff1a<\/p>\n<ol>\n<li>\u77e5\u8bc6\u5de5\u5177\uff1a\n<ul>\n<li>\u4f7f\u7528 Bing \u641c\u7d22\u8fdb\u884c\u57fa\u7840\u5904\u7406<\/li>\n<li>\u6587\u4ef6\u641c\u7d22<\/li>\n<li>Azure AI \u641c\u7d22<\/li>\n<\/ul>\n<\/li>\n<li>\u64cd\u4f5c\u5de5\u5177\uff1a\n<ul>\n<li><a href=\"https:\/\/www.kdjingpai.com\/de\/damoxingjiegouhuaai\/\">\u51fd\u6570\u8c03\u7528<\/a><\/li>\n<li>\u4ee3\u7801\u89e3\u91ca\u5668<\/li>\n<li>OpenAI \u5b9a\u4e49\u7684\u5de5\u5177<\/li>\n<li>Azure Functions<\/li>\n<\/ul>\n<\/li>\n<\/ol>\n<p>Agent Service \u5141\u8bb8\u6211\u4eec\u5c06\u8fd9\u4e9b\u5de5\u5177\u4e00\u8d77\u7528\u4f5c\u00a0<code>toolset<\/code>\u3002\u5b83\u8fd8\u5229\u7528\u00a0<code>threads<\/code>\u00a0\u6765\u8ddf\u8e2a\u6765\u81ea\u7279\u5b9a\u5bf9\u8bdd\u7684\u6d88\u606f\u5386\u53f2\u8bb0\u5f55\u3002<\/p>\n<p>\u5047\u8bbe\u4f60\u662f Contoso \u516c\u53f8\u7684\u9500\u552e\u4ee3\u7406\u3002\u4f60\u60f3\u5f00\u53d1\u4e00\u4e2a\u53ef\u4ee5\u56de\u7b54\u6709\u5173\u4f60\u7684\u9500\u552e\u6570\u636e\u7684\u95ee\u9898\u7684\u5bf9\u8bdd\u4ee3\u7406\u3002<\/p>\n<p>\u4e0b\u56fe\u8bf4\u660e\u4e86\u5982\u4f55\u4f7f\u7528 Azure AI Agent Service \u6765\u5206\u6790\u4f60\u7684\u9500\u552e\u6570\u636e\uff1a<\/p>\n<p><img decoding=\"async\" title=\"\u5fae\u8f6f AI Agent \u5165\u95e8\u8bfe\u7a0b\uff1a\u5de5\u5177\u4f7f\u7528\uff08\u8c03\u7528\uff09\u8bbe\u8ba1\u6a21\u5f0f-2\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/02\/960ee676355bffe.jpg\" alt=\"\u5fae\u8f6f AI Agent \u5165\u95e8\u8bfe\u7a0b\uff1a\u5de5\u5177\u4f7f\u7528\uff08\u8c03\u7528\uff09\u8bbe\u8ba1\u6a21\u5f0f-2\" \/><\/p>\n<p>\u8981\u5c06\u8fd9\u4e9b\u5de5\u5177\u4e2d\u7684\u4efb\u4f55\u4e00\u4e2a\u4e0e\u670d\u52a1\u4e00\u8d77\u4f7f\u7528\uff0c\u6211\u4eec\u53ef\u4ee5\u521b\u5efa\u4e00\u4e2a\u5ba2\u6237\u7aef\u5e76\u5b9a\u4e49\u4e00\u4e2a\u5de5\u5177\u6216\u5de5\u5177\u96c6\u3002\u4e3a\u4e86\u5b9e\u9645\u5b9e\u73b0\u8fd9\u4e00\u70b9\uff0c\u6211\u4eec\u53ef\u4ee5\u4f7f\u7528\u4ee5\u4e0b Python \u4ee3\u7801\u3002\u5927\u8bed\u8a00\u6a21\u578b (LLM) \u5c06\u80fd\u591f\u67e5\u770b\u5de5\u5177\u96c6\u5e76\u51b3\u5b9a\u662f\u4f7f\u7528\u7528\u6237\u521b\u5efa\u7684\u51fd\u6570\u00a0<code>fetch_sales_data_using_sqlite_query<\/code>\u00a0\u8fd8\u662f\u9884\u6784\u5efa\u7684\u4ee3\u7801\u89e3\u91ca\u5668\uff0c\u5177\u4f53\u53d6\u51b3\u4e8e\u7528\u6237\u8bf7\u6c42\u3002<\/p>\n<pre><code>import os\r\nfrom azure.ai.projects import AIProjectClient\r\nfrom azure.identity import DefaultAzureCredential\r\nfrom fecth_sales_data_functions import fetch_sales_data_using_sqlite_query # fetch_sales_data_using_sqlite_query function which can be found in a fetch_sales_data_functions.py file.\r\nfrom azure.ai.projects.models import ToolSet, FunctionTool, CodeInterpreterTool\r\nproject_client = AIProjectClient.from_connection_string(\r\ncredential=DefaultAzureCredential(),\r\nconn_str=os.environ[\"PROJECT_CONNECTION_STRING\"],\r\n)\r\n# Initialize <a href=\"https:\/\/www.kdjingpai.com\/de\/hanshudiaoyongfunct\/\">function calling<\/a> agent with the fetch_sales_data_using_sqlite_query function and adding it to the toolset\r\nfetch_data_function = FunctionTool(fetch_sales_data_using_sqlite_query)\r\ntoolset = ToolSet()\r\ntoolset.add(fetch_data_function)\r\n# Initialize Code Interpreter tool and adding it to the toolset. \r\ncode_interpreter = code_interpreter = CodeInterpreterTool()\r\ntoolset = ToolSet()\r\ntoolset.add(code_interpreter)\r\nagent = project_client.agents.create_agent(\r\nmodel=\"gpt-4o-mini\", name=\"my-agent\", instructions=\"You are helpful agent\", \r\ntoolset=toolset\r\n)\r\n<\/code><\/pre>\n<p>&nbsp;<\/p>\n<h2>\u4f7f\u7528\u5de5\u5177\u4f7f\u7528\u8bbe\u8ba1\u6a21\u5f0f\u6784\u5efa\u53ef\u4fe1\u8d56\u7684 AI \u667a\u80fd\u4f53\u6709\u54ea\u4e9b\u7279\u6b8a\u6ce8\u610f\u4e8b\u9879\uff1f<\/h2>\n<p>\u5927\u8bed\u8a00\u6a21\u578b (LLMs) \u52a8\u6001\u751f\u6210\u7684 SQL \u7684\u4e00\u4e2a\u5e38\u89c1\u95ee\u9898\u662f\u5b89\u5168\u6027\uff0c\u7279\u522b\u662f SQL \u6ce8\u5165\u6216\u6076\u610f\u64cd\u4f5c (\u4f8b\u5982\u5220\u9664\u6216\u7be1\u6539\u6570\u636e\u5e93) \u7684\u98ce\u9669\u3002\u867d\u7136\u8fd9\u4e9b\u62c5\u5fe7\u662f\u5408\u7406\u7684\uff0c\u4f46\u53ef\u4ee5\u901a\u8fc7\u6b63\u786e\u914d\u7f6e\u6570\u636e\u5e93\u8bbf\u95ee\u6743\u9650\u6765\u6709\u6548\u5730\u7f13\u89e3\u8fd9\u4e9b\u62c5\u5fe7\u3002\u5bf9\u4e8e\u5927\u591a\u6570\u6570\u636e\u5e93\uff0c\u8fd9\u6d89\u53ca\u5c06\u6570\u636e\u5e93\u914d\u7f6e\u4e3a\u53ea\u8bfb\u3002\u5bf9\u4e8e PostgreSQL \u6216 Azure SQL \u7b49\u6570\u636e\u5e93\u670d\u52a1\uff0c\u5e94\u4e3a\u5e94\u7528\u7a0b\u5e8f\u5206\u914d\u53ea\u8bfb (SELECT) \u89d2\u8272\u3002<\/p>\n<p>\u5728\u5b89\u5168\u73af\u5883\u4e2d\u8fd0\u884c\u5e94\u7528\u7a0b\u5e8f\u53ef\u8fdb\u4e00\u6b65\u589e\u5f3a\u4fdd\u62a4\u3002\u5728\u4f01\u4e1a\u573a\u666f\u4e2d\uff0c\u6570\u636e\u901a\u5e38\u4ece\u64cd\u4f5c\u578b\u7cfb\u7edf\u63d0\u53d6\u5e76\u8f6c\u6362\u4e3a\u5177\u6709\u7528\u6237\u53cb\u597d\u6a21\u5f0f\u7684\u53ea\u8bfb\u6570\u636e\u5e93\u6216\u6570\u636e\u4ed3\u5e93\u3002\u8fd9\u79cd\u65b9\u6cd5\u53ef\u786e\u4fdd\u6570\u636e\u5b89\u5168\u3001\u9488\u5bf9\u6027\u80fd\u548c\u53ef\u8bbf\u95ee\u6027\u8fdb\u884c\u4f18\u5316\uff0c\u5e76\u4e14\u5e94\u7528\u7a0b\u5e8f\u5177\u6709\u53d7\u9650\u7684\u53ea\u8bfb\u8bbf\u95ee\u6743\u9650\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>\u5de5\u5177\u4e4b\u6240\u4ee5\u6709\u8da3\uff0c\u662f\u56e0\u4e3a\u5b83\u4eec\u5141\u8bb8 AI \u667a\u80fd\u4f53\u62e5\u6709\u66f4\u5e7f\u6cdb\u7684\u80fd\u529b\u3002\u901a\u8fc7\u6dfb\u52a0\u5de5\u5177\uff0c\u667a\u80fd\u4f53\u4e0d\u518d\u5c40\u9650\u4e8e\u5176\u53ef\u4ee5\u6267\u884c\u7684\u6709\u9650\u64cd\u4f5c\u96c6\u5408\uff0c\u800c\u662f\u53ef\u4ee5\u6267\u884c\u5404\u79cd\u5404\u6837\u7684\u64cd\u4f5c\u3002\u5728\u672c\u7ae0\u4e2d\uff0c\u6211\u4eec\u5c06\u63a2\u8ba8\u5de5\u5177\u4f7f\u7528\u8bbe\u8ba1\u6a21\u5f0f\uff0c\u8be5\u6a21\u5f0f\u63cf\u8ff0\u4e86 AI 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