{"id":26950,"date":"2025-02-25T14:55:11","date_gmt":"2025-02-25T06:55:11","guid":{"rendered":"https:\/\/www.aisharenet.com\/?p=26950"},"modified":"2025-02-25T14:55:46","modified_gmt":"2025-02-25T06:55:46","slug":"tablegpt-agent","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/en\/tablegpt-agent\/","title":{"rendered":"TableGPT Agent\uff1a\u4e13\u4e3a\u5206\u6790\u590d\u6742\u8868\u683c\u6570\u636e\u8bbe\u8ba1\u7684\u667a\u80fd\u5de5\u5177"},"content":{"rendered":"<p>TableGPT Agent \u662f\u4e00\u4e2a\u57fa\u4e8e GitHub \u5f00\u6e90\u9879\u76ee\u7684\u667a\u80fd\u5de5\u5177\uff0c\u4e13\u4e3a\u5904\u7406\u548c\u5206\u6790\u8868\u683c\u6570\u636e\u8bbe\u8ba1\u3002\u5b83\u4f9d\u6258 TableGPT2 \u5927\u8bed\u8a00\u6a21\u578b\uff0c\u5229\u7528\u81ea\u7136\u8bed\u8a00\u4ea4\u4e92\u7684\u65b9\u5f0f\uff0c\u8ba9\u7528\u6237\u80fd\u591f\u8f7b\u677e\u67e5\u8be2\u3001\u64cd\u4f5c\u548c\u7406\u89e3\u590d\u6742\u7684\u8868\u683c\u5185\u5bb9\u3002\u65e0\u8bba\u662f\u4ece CSV \u6587\u4ef6\u4e2d\u63d0\u53d6\u6570\u636e\u3001\u751f\u6210\u53ef\u89c6\u5316\u56fe\u8868\uff0c\u8fd8\u662f\u56de\u7b54\u57fa\u4e8e\u8868\u683c\u7684\u5177\u4f53\u95ee\u9898\uff0c\u8fd9\u4e2a\u5de5\u5177\u90fd\u80fd\u9ad8\u6548\u5b8c\u6210\u4efb\u52a1\u3002\u5b83\u7531 tablegpt \u56e2\u961f\u5f00\u53d1\uff0c\u6784\u5efa\u5728 <a href=\"https:\/\/www.kdjingpai.com\/langgraph\/\">Langgraph<\/a> \u5e93\u4e4b\u4e0a\uff0c\u652f\u6301\u591a\u6837\u5316\u7684\u8868\u683c\u76f8\u5173\u5e94\u7528\u573a\u666f\uff0c\u975e\u5e38\u9002\u5408\u9700\u8981\u6570\u636e\u5206\u6790\u4f46\u4e0d\u64c5\u957f\u7f16\u7a0b\u7684\u7528\u6237\u3002\u9879\u76ee\u91c7\u7528 Apache 2.0 \u8bb8\u53ef\u8bc1\uff0c\u9f13\u52b1\u5f00\u53d1\u8005\u53c2\u4e0e\u8d21\u732e\uff0c\u76ee\u524d\u5728 GitHub \u4e0a\u5df2\u6709\u6d3b\u8dc3\u793e\u533a\u652f\u6301\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-26951\" title=\"TableGPT Agent\uff1a\u4e13\u4e3a\u5904\u7406\u548c\u5206\u6790\u8868\u683c\u6570\u636e\u8bbe\u8ba1\u7684\u667a\u80fd\u5de5\u5177-1\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/02\/5589411ff87879f.jpg\" alt=\"TableGPT Agent\uff1a\u4e13\u4e3a\u5904\u7406\u548c\u5206\u6790\u8868\u683c\u6570\u636e\u8bbe\u8ba1\u7684\u667a\u80fd\u5de5\u5177-1\" width=\"1200\" height=\"600\" srcset=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/02\/5589411ff87879f.jpg 1200w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/02\/5589411ff87879f-768x384.jpg 768w\" sizes=\"auto, (max-width: 1200px) 100vw, 1200px\" \/><\/p>\n<p>&nbsp;<\/p>\n<h2>\u529f\u80fd\u5217\u8868<\/h2>\n<ul>\n<li><strong>\u8868\u683c\u6570\u636e\u8bfb\u53d6\u4e0e\u5904\u7406<\/strong>: \u652f\u6301\u4ece\u672c\u5730\u4e0a\u4f20\u7684 CSV\u3001Excel \u6587\u4ef6\u6216\u6570\u636e\u5e93\u4e2d\u8bfb\u53d6\u8868\u683c\u6570\u636e\uff0c\u5e76\u8fdb\u884c\u7ed3\u6784\u5316\u5904\u7406\u3002<\/li>\n<li><strong>\u81ea\u7136\u8bed\u8a00\u67e5\u8be2<\/strong>: \u7528\u6237\u53ef\u4ee5\u7528\u65e5\u5e38\u8bed\u8a00\u63d0\u95ee\uff0c\u4f8b\u5982\u201c\u6709\u591a\u5c11\u7537\u6027\u5e78\u5b58\uff1f\u201d\u6216\u201c\u9500\u552e\u989d\u6700\u9ad8\u7684\u4ea7\u54c1\u662f\u4ec0\u4e48\uff1f\u201d\u3002<\/li>\n<li><strong>\u4ee3\u7801\u81ea\u52a8\u751f\u6210<\/strong>: \u6839\u636e\u7528\u6237\u9700\u6c42\u751f\u6210 Python \u4ee3\u7801\uff0c\u4f8b\u5982\u7b5b\u9009\u6570\u636e\u3001\u8ba1\u7b97\u7edf\u8ba1\u503c\u6216\u7ed8\u5236\u56fe\u8868\u3002<\/li>\n<li><strong>\u6570\u636e\u53ef\u89c6\u5316\u652f\u6301<\/strong>: \u914d\u5408\u5de5\u5177\u751f\u6210\u6298\u7ebf\u56fe\u3001\u67f1\u72b6\u56fe\u7b49\u53ef\u89c6\u5316\u7ed3\u679c\uff0c\u76f4\u89c2\u5c55\u793a\u6570\u636e\u5206\u6790\u7ed3\u8bba\u3002<\/li>\n<li><strong>\u590d\u6742\u8868\u683c\u4efb\u52a1\u652f\u6301<\/strong>: \u5904\u7406\u591a\u5c42\u8868\u683c\u7ed3\u6784\u6216\u4e0d\u89c4\u5219\u6570\u636e\uff0c\u63d0\u4f9b\u51c6\u786e\u7684\u5206\u6790\u7ed3\u679c\u3002<\/li>\n<li><strong>\u4f1a\u8bdd\u8bb0\u5fc6\u529f\u80fd<\/strong>: \u901a\u8fc7 checkpointer \u548c session_id\uff0c\u4fdd\u7559\u5206\u6790\u4e0a\u4e0b\u6587\uff0c\u652f\u6301\u8fde\u7eed\u591a\u8f6e\u5bf9\u8bdd\u3002<\/li>\n<li><strong>\u5f00\u6e90\u6269\u5c55\u6027<\/strong>: \u63d0\u4f9b\u4e30\u5bcc\u7684 API \u548c\u6587\u6863\uff0c\u5f00\u53d1\u8005\u53ef\u81ea\u5b9a\u4e49\u529f\u80fd\u6216\u96c6\u6210\u5230\u5176\u4ed6\u9879\u76ee\u3002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u4f7f\u7528\u5e2e\u52a9<\/h2>\n<h3>\u5b89\u88c5\u6d41\u7a0b<\/h3>\n<p>TableGPT Agent \u662f\u4e00\u4e2a\u57fa\u4e8e Python \u7684\u5de5\u5177\uff0c\u9700\u8981\u4e00\u5b9a\u7684\u73af\u5883\u914d\u7f6e\u624d\u80fd\u8fd0\u884c\u3002\u4ee5\u4e0b\u662f\u8be6\u7ec6\u7684\u5b89\u88c5\u6b65\u9aa4\uff1a<\/p>\n<h4>1. \u73af\u5883\u51c6\u5907<\/h4>\n<ul>\n<li><strong>\u5b89\u88c5 Python<\/strong>: \u786e\u4fdd\u4f60\u7684\u7535\u8111\u5b89\u88c5\u4e86 Python 3.8 \u6216\u66f4\u9ad8\u7248\u672c\uff0c\u53ef\u4ece\u00a0Python \u5b98\u7f51\u00a0\u4e0b\u8f7d\u3002<\/li>\n<li><strong>\u5b89\u88c5 Git<\/strong>: \u7528\u4e8e\u514b\u9686 GitHub \u4ed3\u5e93\uff0cWindows\/Mac \u7528\u6237\u53ef\u4ece\u00a0Git \u5b98\u7f51\u00a0\u4e0b\u8f7d\u3002<\/li>\n<li><strong>\u5b89\u88c5 vLLM<\/strong>: TableGPT Agent \u63a8\u8350\u4f7f\u7528 <a href=\"https:\/\/www.kdjingpai.com\/vllm\/\">vLLM<\/a> \u90e8\u7f72 TableGPT2 \u6a21\u578b\uff0c\u786e\u4fdd\u9ad8\u6548\u63a8\u7406\u3002\u8fd0\u884c\u4ee5\u4e0b\u547d\u4ee4\uff1a\n<pre><code>pip install vllm==0.5.5 --extra-index-url https:\/\/download.pytorch.org\/whl\/cu124<\/code><\/pre>\n<\/li>\n<\/ul>\n<p>\uff08\u6839\u636e\u4f60\u7684 CUDA \u7248\u672c\u8c03\u6574\u00a0<code>cu124<\/code>\uff0c\u5982\u65e0 GPU \u53ef\u8df3\u8fc7\u6b64\u6b65\uff0c\u4f46\u9700\u624b\u52a8\u90e8\u7f72\u6a21\u578b\uff09\u3002<\/p>\n<h4>2. \u514b\u9686\u4ed3\u5e93<\/h4>\n<p>\u6253\u5f00\u7ec8\u7aef\uff08Windows \u53ef\u4f7f\u7528 CMD \u6216 PowerShell\uff0cMac\/Linux \u4f7f\u7528 Terminal\uff09\uff0c\u8fd0\u884c\uff1a<\/p>\n<pre><code>git clone https:\/\/github.com\/tablegpt\/tablegpt-agent.git\r\ncd tablegpt-agent\r\n<\/code><\/pre>\n<h4>3. \u5b89\u88c5\u4f9d\u8d56<\/h4>\n<p>\u5728\u9879\u76ee\u76ee\u5f55\u4e0b\uff0c\u5b89\u88c5\u6240\u9700 Python \u5e93\uff1a<\/p>\n<pre><code>pip install -r requirements.txt\r\n<\/code><\/pre>\n<p>\u5982\u679c\u9700\u8981\u672c\u5730\u8fd0\u884c\u5b8c\u6574\u529f\u80fd\uff0c\u5b89\u88c5\u989d\u5916\u4f9d\u8d56\uff1a<\/p>\n<pre><code>pip install \".[local]\"\r\n<\/code><\/pre>\n<h4>4. \u90e8\u7f72 TableGPT2 \u6a21\u578b<\/h4>\n<p>TableGPT Agent \u9700\u8981 TableGPT2 \u6a21\u578b\u652f\u6301\u3002\u5148\u4ece Hugging Face \u4e0b\u8f7d\u6a21\u578b\uff08\u5982 TableGPT2-7B\uff09\uff0c\u7136\u540e\u4f7f\u7528 vLLM \u542f\u52a8\u670d\u52a1\uff1a<\/p>\n<pre><code>python -m vllm.entrypoints.openai.api_server --served-model-name TableGPT2-7B --model path\/to\/weights\r\n<\/code><\/pre>\n<p>\u670d\u52a1\u542f\u52a8\u540e\uff0c\u9ed8\u8ba4\u76d1\u542c\u00a0<code>http:\/\/localhost:8000<\/code>\uff0c\u8bb0\u4e0b\u6b64 URL\u3002<\/p>\n<h4>5. \u914d\u7f6e\u4ee3\u7406<\/h4>\n<p>\u7f16\u8f91\u4ee3\u7801\u6216\u914d\u7f6e\u6587\u4ef6\uff0c\u5c06 LLM \u7684 API \u5730\u5740\u6307\u5411\u4f60\u90e8\u7f72\u7684 vLLM \u670d\u52a1\uff0c\u4f8b\u5982\uff1a<\/p>\n<pre><code>llm = ChatOpenAI(openai_api_base=\"http:\/\/localhost:8000\/v1\", openai_api_key=\"whatever\", model_name=\"TableGPT2-7B\")\r\n<\/code><\/pre>\n<h3>\u4f7f\u7528\u65b9\u6cd5<\/h3>\n<p>\u5b89\u88c5\u5b8c\u6210\u540e\uff0cTableGPT Agent \u5373\u53ef\u8fd0\u884c\u3002\u4ee5\u4e0b\u662f\u4e3b\u8981\u529f\u80fd\u7684\u8be6\u7ec6\u64cd\u4f5c\u6d41\u7a0b\uff1a<\/p>\n<h4><strong>\u529f\u80fd 1: \u8bfb\u53d6\u8868\u683c\u6570\u636e<\/strong><\/h4>\n<ol>\n<li><strong>\u51c6\u5907\u6570\u636e\u6587\u4ef6<\/strong>: \u5c06 CSV \u6216 Excel \u6587\u4ef6\u653e\u5728\u672c\u5730\u76ee\u5f55\uff08\u5982\u00a0<code>gpt_workspace<\/code>\u00a0\u6587\u4ef6\u5939\uff09\u3002<\/li>\n<li><strong>\u542f\u52a8\u4ee3\u7406<\/strong>: \u5728 Python \u73af\u5883\u4e2d\u8fd0\u884c\u4ee5\u4e0b\u4ee3\u7801\uff0c\u521d\u59cb\u5316\u4ee3\u7406\uff1a\n<pre><code>from langchain_openai import ChatOpenAI\r\nfrom langgraph.checkpoint.memory import MemorySaver\r\nfrom pybox import LocalPyBoxManager\r\nfrom tablegpt.agent import create_tablegpt_graph\r\nllm = ChatOpenAI(openai_api_base=\"http:\/\/localhost:8000\/v1\", openai_api_key=\"whatever\", model_name=\"TableGPT2-7B\")\r\npybox_manager = LocalPyBoxManager()\r\ncheckpointer = MemorySaver()\r\nagent = create_tablegpt_graph(llm=llm, pybox_manager=pybox_manager, checkpointer=checkpointer, session_id=\"my-session\")\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u4e0a\u4f20\u6587\u4ef6<\/strong>: \u4f7f\u7528\u4ee5\u4e0b\u4ee3\u7801\u4e0a\u4f20\u6587\u4ef6\u5e76\u8ba9\u4ee3\u7406\u8bfb\u53d6\uff1a\n<pre><code>from datetime import date\r\nfrom tablegpt.agent.file_reading import Stage\r\nfrom langchain_core.messages import HumanMessage\r\nattachment_msg = HumanMessage(content=\"\u8bf7\u8bfb\u53d6\u6587\u4ef6 data.csv\", additional_kwargs={\"file_path\": \"path\/to\/data.csv\"})\r\nresponse = await agent.ainvoke(\r\ninput={\"entry_message\": attachment_msg, \"processing_stage\": Stage.UPLOADED, \"messages\": [attachment_msg], \"date\": date.today()},\r\nconfig={\"configurable\": {\"thread_id\": \"my-thread\"}}\r\n)\r\nprint(response[\"messages\"])\r\n<\/code><\/pre>\n<p>\u4ee3\u7406\u4f1a\u8fd4\u56de\u786e\u8ba4\u4fe1\u606f\uff0c\u8868\u793a\u6587\u4ef6\u5df2\u8bfb\u53d6\u3002<\/li>\n<\/ol>\n<h4><strong>\u529f\u80fd 2: \u81ea\u7136\u8bed\u8a00\u67e5\u8be2<\/strong><\/h4>\n<ol>\n<li><strong>\u63d0\u95ee<\/strong>: \u5728\u540c\u4e00\u4f1a\u8bdd\u4e2d\uff0c\u7ee7\u7eed\u8f93\u5165\u95ee\u9898\uff1a\n<pre><code>human_message = HumanMessage(content=\"\u6709\u591a\u5c11\u884c\u6570\u636e\uff1f\")\r\nresponse = await agent.ainvoke(\r\ninput={\"messages\": [human_message], \"date\": date.today()},\r\nconfig={\"configurable\": {\"thread_id\": \"my-thread\"}}\r\n)\r\nprint(response[\"messages\"])\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u7ed3\u679c<\/strong>: \u4ee3\u7406\u4f1a\u8fd4\u56de\u7b54\u6848\uff0c\u5982\u201c\u6570\u636e\u5171\u6709 100 \u884c\u201d\u3002<\/li>\n<\/ol>\n<h4><strong>\u529f\u80fd 3: \u751f\u6210\u53ef\u89c6\u5316\u56fe\u8868<\/strong><\/h4>\n<ol>\n<li><strong>\u8bf7\u6c42\u56fe\u8868<\/strong>: \u8f93\u5165\u7c7b\u4f3c\u201c\u7ed8\u5236\u9500\u552e\u989d\u7684\u67f1\u72b6\u56fe\u201d\uff1a\n<pre><code>human_message = HumanMessage(content=\"\u7ed8\u5236\u9500\u552e\u989d\u7684\u67f1\u72b6\u56fe\")\r\nasync for event in agent.astream_events(\r\ninput={\"messages\": [human_message], \"date\": date.today()},\r\nconfig={\"configurable\": {\"thread_id\": \"my-thread\"}},\r\nversion=\"v2\"\r\n):\r\nif event[\"event\"] == \"on_chat_model_end\":\r\nprint(event[\"data\"][\"output\"])\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u8f93\u51fa<\/strong>: \u4ee3\u7406\u4f1a\u751f\u6210 Python \u4ee3\u7801\u5e76\u8fd4\u56de\u56fe\u8868\u7ed3\u679c\uff08\u9700\u914d\u5408 matplotlib \u7b49\u5e93\u672c\u5730\u8fd0\u884c\uff09\u3002<\/li>\n<\/ol>\n<h4><strong>\u529f\u80fd 4: \u590d\u6742\u4efb\u52a1\u5904\u7406<\/strong><\/h4>\n<p>\u5bf9\u4e8e\u591a\u5c42\u8868\u683c\u6216\u4e0d\u89c4\u5219\u6570\u636e\uff0c\u76f4\u63a5\u63d0\u95ee\u5982\u201c\u7edf\u8ba1\u6bcf\u4e2a\u90e8\u95e8\u7684\u5e73\u5747\u5e74\u9f84\u201d\uff0c\u4ee3\u7406\u4f1a\u81ea\u52a8\u89e3\u6790\u5e76\u751f\u6210\u7ed3\u679c\u3002<\/p>\n<h3>\u6ce8\u610f\u4e8b\u9879<\/h3>\n<ul>\n<li><strong>\u73af\u5883\u4f9d\u8d56<\/strong>: \u786e\u4fdd\u7f51\u7edc\u7545\u901a\uff0cvLLM \u670d\u52a1\u6b63\u5e38\u8fd0\u884c\u3002<\/li>\n<li><strong>\u6587\u4ef6\u8def\u5f84<\/strong>: \u4e0a\u4f20\u6587\u4ef6\u65f6\u9700\u63d0\u4f9b\u6b63\u786e\u8def\u5f84\u3002<\/li>\n<li><strong>\u4f1a\u8bdd\u7ba1\u7406<\/strong>: \u4f7f\u7528\u76f8\u540c\u7684\u00a0<code>session_id<\/code>\u00a0\u548c\u00a0<code>thread_id<\/code>\u00a0\u4fdd\u6301\u4e0a\u4e0b\u6587\u8fde\u7eed\u6027\u3002<\/li>\n<\/ul>\n<p>\u901a\u8fc7\u4ee5\u4e0a\u6b65\u9aa4\uff0c\u4f60\u53ef\u4ee5\u8f7b\u677e\u4e0a\u624b TableGPT Agent\uff0c\u5b8c\u6210\u4ece\u6570\u636e\u8bfb\u53d6\u5230\u5206\u6790\u7684\u5168\u6d41\u7a0b\uff01<\/p>\n","protected":false},"excerpt":{"rendered":"<p>TableGPT Agent \u662f\u4e00\u4e2a\u57fa\u4e8e GitHub \u5f00\u6e90\u9879\u76ee\u7684\u667a\u80fd\u5de5\u5177\uff0c\u4e13\u4e3a\u5904\u7406\u548c\u5206\u6790\u8868\u683c\u6570\u636e\u8bbe\u8ba1\u3002\u5b83\u4f9d\u6258 TableGPT2 \u5927\u8bed\u8a00\u6a21\u578b\uff0c\u5229\u7528\u81ea\u7136\u8bed\u8a00\u4ea4\u4e92\u7684\u65b9\u5f0f\uff0c\u8ba9\u7528\u6237\u80fd\u591f\u8f7b\u677e\u67e5\u8be2\u3001\u64cd\u4f5c\u548c\u7406\u89e3\u590d\u6742\u7684\u8868\u683c\u5185\u5bb9\u3002\u65e0\u8bba\u662f\u4ece CSV \u6587\u4ef6\u4e2d\u63d0&#8230;<\/p>\n","protected":false},"author":1,"featured_media":61924,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[230,244],"class_list":["post-26950","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tool","tag-aikaiyuanxiangmu","tag-aishujufenxi"],"_links":{"self":[{"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/posts\/26950","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/comments?post=26950"}],"version-history":[{"count":0,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/posts\/26950\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/media\/61924"}],"wp:attachment":[{"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/media?parent=26950"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/categories?post=26950"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/en\/wp-json\/wp\/v2\/tags?post=26950"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}