{"id":27906,"date":"2025-03-07T15:45:38","date_gmt":"2025-03-07T07:45:38","guid":{"rendered":"https:\/\/www.aisharenet.com\/?p=27906"},"modified":"2025-03-07T15:45:55","modified_gmt":"2025-03-07T07:45:55","slug":"agno","status":"publish","type":"post","link":"https:\/\/www.kdjingpai.com\/ja\/agno\/","title":{"rendered":"Agno\uff1a\u6784\u5efa\u5177\u5907\u8bb0\u5fc6\u3001\u77e5\u8bc6\u548c\u5de5\u5177\u7684\u591a\u6a21\u6001\u667a\u80fd\u4f53\u6846\u67b6"},"content":{"rendered":"<p>Agno \u662f\u4e00\u4e2a\u7531 agno-agi \u56e2\u961f\u5f00\u53d1\u5e76\u6258\u7ba1\u4e8e GitHub \u7684\u5f00\u6e90 Python \u5e93\uff0c\u81f4\u529b\u4e8e\u8ba9\u5f00\u53d1\u8005\u8f7b\u677e\u6784\u5efa\u5177\u5907\u8bb0\u5fc6\u3001\u77e5\u8bc6\u548c\u5de5\u5177\u7684 AI \u667a\u80fd\u4f53\u3002\u5b83\u652f\u6301\u6587\u672c\u3001\u56fe\u50cf\u3001\u97f3\u9891\u548c\u89c6\u9891\u7b49\u591a\u6a21\u6001\u5904\u7406\uff0c\u63d0\u4f9b\u4f1a\u8bdd\u72b6\u6001\u5b58\u50a8\uff08memory\uff09\u3001\u77e5\u8bc6\u5e93\u67e5\u8be2\uff08knowledge\uff09\u548c\u5de5\u5177\u6269\u5c55\uff08tools\uff09\u4e09\u5927\u6838\u5fc3\u80fd\u529b\u3002Agno \u4ee5\u7b80\u5355\u9ad8\u6548\u8457\u79f0\uff0c\u5b98\u65b9\u79f0\u5176\u667a\u80fd\u4f53\u521b\u5efa\u901f\u5ea6\u6bd4 <a href=\"https:\/\/www.kdjingpai.com\/ja\/langgraph\/\">LangGraph<\/a> \u5feb\u7ea6 10,000 \u500d\uff0c\u5185\u5b58\u5360\u7528\u4ec5\u4e3a\u5176 1\/50\uff0c\u4e14\u652f\u6301\u4efb\u610f\u8bed\u8a00\u6a21\u578b\uff08\u5982 GPT-4o\u3001Claude \u7b49\uff09\uff0c\u5b9e\u73b0\u6a21\u578b\u65e0\u5173\u7684\u7075\u6d3b\u6027\u3002\u65e0\u8bba\u662f\u4efb\u52a1\u81ea\u52a8\u5316\u8fd8\u662f\u4fe1\u606f\u5904\u7406\uff0cAgno \u90fd\u80fd\u901a\u8fc7\u76f4\u89c2\u4ee3\u7801\u5feb\u901f\u5b9e\u73b0\u3002\u622a\u81f3 2025 \u5e74 3 \u6708\uff0cAgno \u5728 GitHub \u4e0a\u5df2\u83b7\u8d85 19,000 \u4e2a\u661f\u6807\uff0c\u6df1\u53d7\u5f00\u53d1\u8005\u6b22\u8fce\u3002<\/p>\n<p><img loading=\"lazy\" decoding=\"async\" class=\"aligncenter size-full wp-image-27908\" title=\"Agno\uff1a\u6784\u5efa\u5177\u5907\u8bb0\u5fc6\u3001\u77e5\u8bc6\u548c\u5de5\u5177\u7684AI\u667a\u80fd\u4f53\u6846\u67b6-1\" src=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/85644c3dbda7fc7.png\" alt=\"Agno\uff1a\u6784\u5efa\u5177\u5907\u8bb0\u5fc6\u3001\u77e5\u8bc6\u548c\u5de5\u5177\u7684AI\u667a\u80fd\u4f53\u6846\u67b6-1\" width=\"1127\" height=\"732\" srcset=\"https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/85644c3dbda7fc7.png 1127w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/85644c3dbda7fc7-768x499.png 768w, https:\/\/www.kdjingpai.com\/wp-content\/uploads\/2025\/03\/85644c3dbda7fc7-18x12.png 18w\" sizes=\"auto, (max-width: 1127px) 100vw, 1127px\" \/><\/p>\n<p>&nbsp;<\/p>\n<h2>\u529f\u80fd\u5217\u8868<\/h2>\n<ul>\n<li><strong>\u8bb0\u5fc6\u7ba1\u7406<\/strong>\uff1a\u5b58\u50a8\u667a\u80fd\u4f53\u4f1a\u8bdd\u72b6\u6001\u81f3\u6570\u636e\u5e93\uff0c\u652f\u6301\u957f\u671f\u4e0a\u4e0b\u6587\u8ffd\u8e2a\u3002<\/li>\n<li><strong>\u77e5\u8bc6\u5e93\u652f\u6301<\/strong>\uff1a\u901a\u8fc7 Agentic <a href=\"https:\/\/www.kdjingpai.com\/ja\/rag\/\">RAG<\/a> \u6280\u672f\u67e5\u8be2\u5185\u7f6e\u77e5\u8bc6\u5e93\uff0c\u63d0\u4f9b\u7cbe\u51c6\u56de\u7b54\u3002<\/li>\n<li><strong>\u5de5\u5177\u96c6\u6210<\/strong>\uff1a\u5185\u7f6e DuckDuckGo \u641c\u7d22\u3001YFinance \u91d1\u878d\u67e5\u8be2\u7b49\u5de5\u5177\uff0c\u5e76\u652f\u6301\u81ea\u5b9a\u4e49\u6269\u5c55\u3002<\/li>\n<li><strong>\u591a\u6a21\u6001\u5904\u7406<\/strong>\uff1a\u652f\u6301\u6587\u672c\u3001\u56fe\u50cf\u3001\u97f3\u9891\u548c\u89c6\u9891\u7684\u8f93\u5165\u8f93\u51fa\uff0c\u9002\u7528\u591a\u6837\u573a\u666f\u3002<\/li>\n<li><strong>\u6a21\u578b\u65e0\u5173\u6027<\/strong>\uff1a\u517c\u5bb9\u4efb\u4f55\u8bed\u8a00\u6a21\u578b\uff0c\u65e0\u4f9b\u5e94\u5546\u9650\u5236\uff0c\u7075\u6d3b\u6027\u9ad8\u3002<\/li>\n<li><strong>\u5feb\u901f\u5b9e\u4f8b\u5316<\/strong>\uff1a\u667a\u80fd\u4f53\u521b\u5efa\u65f6\u95f4\u4f4e\u81f3 2 \u5fae\u79d2\uff0c\u9002\u5408\u9ad8\u5e76\u53d1\u5e94\u7528\u3002<\/li>\n<li><strong>\u591a\u667a\u80fd\u4f53\u534f\u4f5c<\/strong>\uff1a\u7ec4\u5efa\u4e13\u9879\u667a\u80fd\u4f53\u56e2\u961f\uff0c\u5904\u7406\u590d\u6742\u5de5\u4f5c\u6d41\u3002<\/li>\n<li><strong>\u7ed3\u6784\u5316\u8f93\u51fa<\/strong>\uff1a\u751f\u6210\u8868\u683c\u7b49\u683c\u5f0f\u5316\u6570\u636e\uff0c\u63d0\u5347\u7ed3\u679c\u5b9e\u7528\u6027\u3002<\/li>\n<li><strong>\u5b9e\u65f6\u76d1\u63a7<\/strong>\uff1a\u901a\u8fc7 agno.com \u67e5\u770b\u667a\u80fd\u4f53\u8fd0\u884c\u72b6\u6001\u548c\u6027\u80fd\u6307\u6807\u3002<\/li>\n<\/ul>\n<p>&nbsp;<\/p>\n<h2>\u4f7f\u7528\u5e2e\u52a9<\/h2>\n<h3>\u5b89\u88c5\u6d41\u7a0b<\/h3>\n<p>Agno \u662f\u8f7b\u91cf\u7ea7 Python \u6846\u67b6\uff0c\u5b89\u88c5\u7b80\u5355\uff0c\u517c\u5bb9\u591a\u79cd\u64cd\u4f5c\u7cfb\u7edf\u3002\u4ee5\u4e0b\u662f\u8be6\u7ec6\u6b65\u9aa4\uff1a<\/p>\n<h4>1. \u73af\u5883\u51c6\u5907<\/h4>\n<ul>\n<li><strong>\u7cfb\u7edf\u8981\u6c42<\/strong>\uff1a\u652f\u6301 Windows\u3001Linux \u6216 macOS\uff0c\u9700 Python 3.10 \u6216\u4ee5\u4e0a\u3002<\/li>\n<li><strong>\u68c0\u67e5 pip<\/strong>\uff1a\u8fd0\u884c\u00a0<code>pip --version<\/code>\u00a0\u786e\u8ba4 pip \u5df2\u5b89\u88c5\u3002<\/li>\n<li><strong>\u514b\u9686\u4ed3\u5e93\uff08\u53ef\u9009\uff09<\/strong>\uff1a\u82e5\u9700\u6700\u65b0\u6e90\u7801\uff0c\u8fd0\u884c\uff1a\n<pre><code>git clone https:\/\/github.com\/agno-agi\/agno.git  \r\ncd agno<\/code><\/pre>\n<\/li>\n<\/ul>\n<h4>2. \u5b89\u88c5 Agno<\/h4>\n<ul>\n<li><strong>\u901a\u8fc7 pip \u5b89\u88c5<\/strong>\uff1a\u5728\u7ec8\u7aef\u8fd0\u884c\uff1a\n<pre><code>pip install -U agno\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u989d\u5916\u4f9d\u8d56<\/strong>\uff1a\u6839\u636e\u9700\u6c42\u5b89\u88c5\uff0c\u4f8b\u5982\u00a0<code>pip install openai<\/code>\uff08\u652f\u6301 OpenAI \u6a21\u578b\uff09\u3002<\/li>\n<\/ul>\n<h4>3. \u914d\u7f6e API \u5bc6\u94a5<\/h4>\n<p>\u90e8\u5206\u529f\u80fd\u9700\u5916\u90e8\u6a21\u578b API\uff0c\u4ee5 OpenAI \u4e3a\u4f8b\uff1a<\/p>\n<ul>\n<li>\u83b7\u53d6\u5bc6\u94a5\uff1a\u767b\u5f55 OpenAI \u5b98\u7f51\u751f\u6210 API Key\u3002<\/li>\n<li>\u8bbe\u7f6e\u73af\u5883\u53d8\u91cf\uff1a\n<pre><code>export OPENAI_API_KEY='\u4f60\u7684\u5bc6\u94a5'  # Linux\/macOS  \r\nset OPENAI_API_KEY=\u4f60\u7684\u5bc6\u94a5  # Windows\r\n<\/code><\/pre>\n<\/li>\n<\/ul>\n<h4>4. \u9a8c\u8bc1\u5b89\u88c5<\/h4>\n<p>\u8fd0\u884c\u4ee5\u4e0b\u4ee3\u7801\u6d4b\u8bd5\uff1a<\/p>\n<pre><code>from agno.agent import Agent  \r\nfrom agno.models.openai import OpenAIChat  \r\nagent = Agent(model=OpenAIChat(id=\"gpt-4o\"))  \r\nagent.print_response(\"Agno \u6709\u4ec0\u4e48\u7279\u70b9\uff1f\")\r\n<\/code><\/pre>\n<p>\u82e5\u8fd4\u56de\u54cd\u5e94\uff0c\u5b89\u88c5\u6210\u529f\u3002<\/p>\n<h3>\u4e3b\u8981\u529f\u80fd\u64cd\u4f5c\u6d41\u7a0b<\/h3>\n<h4>\u4f7f\u7528\u8bb0\u5fc6\u529f\u80fd<\/h4>\n<p>Agno \u7684\u8bb0\u5fc6\u7ba1\u7406\u53ef\u4fdd\u5b58\u4f1a\u8bdd\u72b6\u6001\uff0c\u4ee5\u4e0b\u662f\u64cd\u4f5c\u6b65\u9aa4\uff1a<\/p>\n<ol>\n<li><strong>\u7f16\u5199\u4ee3\u7801<\/strong>\uff1a\u65b0\u5efa\u00a0<code>agent_with_memory.py<\/code>\uff0c\u8f93\u5165\uff1a\n<pre><code>from agno.agent import Agent  \r\nfrom agno.models.openai import OpenAIChat  \r\nagent = Agent(  \r\nmodel=OpenAIChat(id=\"gpt-4o\"),  \r\ndescription=\"\u4f60\u662f\u4e00\u4e2a\u52a9\u624b\uff0c\u80fd\u8bb0\u4f4f\u5bf9\u8bdd\u5185\u5bb9\",  \r\nmarkdown=True  \r\n)  \r\nagent.print_response(\"\u6211\u53eb\u5f20\u4e09\uff0c\u4f60\u80fd\u8bb0\u4f4f\u5417\uff1f\", stream=True)  \r\nagent.print_response(\"\u6211\u53eb\u4ec0\u4e48\u540d\u5b57\uff1f\", stream=True)\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u8fd0\u884c<\/strong>\uff1a\u5728\u7ec8\u7aef\u8f93\u5165\u00a0<code>python agent_with_memory.py<\/code>\uff0c\u667a\u80fd\u4f53\u4f1a\u8bb0\u4f4f\u5e76\u56de\u7b54\u201c\u5f20\u4e09\u201d\u3002<\/li>\n<\/ol>\n<h4>\u4f7f\u7528\u77e5\u8bc6\u5e93<\/h4>\n<p>\u901a\u8fc7\u77e5\u8bc6\u5e93\u63d0\u4f9b\u4e13\u4e1a\u56de\u7b54\uff0c\u4f8b\u5982\u52a0\u8f7d PDF\uff1a<\/p>\n<ol>\n<li><strong>\u5b89\u88c5\u4f9d\u8d56<\/strong>\uff1a\u8fd0\u884c\u00a0<code>pip install lancedb tantivy pypdf duckduckgo-search<\/code>\u3002<\/li>\n<li><strong>\u7f16\u5199\u4ee3\u7801<\/strong>\uff1a\u65b0\u5efa\u00a0<code>agent_with_knowledge.py<\/code>\uff0c\u8f93\u5165\uff1a\n<pre><code>from agno.agent import Agent  \r\nfrom agno.models.openai import OpenAIChat  \r\nfrom agno.knowledge.pdf_url import PDFUrlKnowledgeBase  \r\nfrom agno.vectordb.lancedb import LanceDb  \r\nfrom agno.embedder.openai import OpenAIEmbedder  \r\nagent = Agent(  \r\nmodel=OpenAIChat(id=\"gpt-4o\"),  \r\ndescription=\"\u4f60\u662f\u6cf0\u5f0f\u7f8e\u98df\u4e13\u5bb6\uff01\",  \r\ninstructions=[\"\u4f18\u5148\u4f7f\u7528\u77e5\u8bc6\u5e93\u4e2d\u7684\u6cf0\u5f0f\u83dc\u8c31\"],  \r\nknowledge=PDFUrlKnowledgeBase(  \r\nurls=[\"https:\/\/agno-public.s3.amazonaws.com\/recipes\/ThaiRecipes.pdf\"],  \r\nvector_db=LanceDb(  \r\nuri=\"tmp\/lancedb\",  \r\ntable_name=\"recipes\",  \r\nembedder=OpenAIEmbedder(id=\"text-embedding-3-small\")  \r\n)  \r\n),  \r\nmarkdown=True  \r\n)  \r\nif agent.knowledge:  \r\nagent.knowledge.load()  # \u9996\u6b21\u52a0\u8f7d\u77e5\u8bc6\u5e93  \r\nagent.print_response(\"\u5982\u4f55\u5236\u4f5c\u6cf0\u5f0f\u6930\u5976\u9e21\u6c64\uff1f\", stream=True)\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u8fd0\u884c\u7ed3\u679c<\/strong>\uff1a\u667a\u80fd\u4f53\u4ece PDF \u4e2d\u63d0\u53d6\u83dc\u8c31\u751f\u6210\u56de\u7b54\u3002<\/li>\n<\/ol>\n<h4>\u4f7f\u7528\u5de5\u5177\u6269\u5c55<\/h4>\n<p>\u4e3a\u667a\u80fd\u4f53\u6dfb\u52a0\u641c\u7d22\u5de5\u5177\uff08\u5982 DuckDuckGo\uff09\uff1a<\/p>\n<ol>\n<li><strong>\u5b89\u88c5\u4f9d\u8d56<\/strong>\uff1a\u8fd0\u884c\u00a0<code>pip install duckduckgo-search<\/code>\u3002<\/li>\n<li><strong>\u7f16\u5199\u4ee3\u7801<\/strong>\uff1a\u65b0\u5efa\u00a0<code>agent_with_tools.py<\/code>\uff0c\u8f93\u5165\uff1a\n<pre><code>from agno.agent import Agent  \r\nfrom agno.models.openai import OpenAIChat  \r\nfrom agno.tools.duckduckgo import DuckDuckGoTools  \r\nagent = Agent(  \r\nmodel=OpenAIChat(id=\"gpt-4o\"),  \r\ntools=[DuckDuckGoTools()],  \r\nshow_tool_calls=True,  \r\nmarkdown=True  \r\n)  \r\nagent.print_response(\"\u7ebd\u7ea6\u6700\u8fd1\u53d1\u751f\u4e86\u4ec0\u4e48\uff1f\", stream=True)\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u8fd0\u884c\u7ed3\u679c<\/strong>\uff1a\u667a\u80fd\u4f53\u4f1a\u8c03\u7528\u641c\u7d22\u5de5\u5177\u8fd4\u56de\u6700\u65b0\u8d44\u8baf\u3002<\/li>\n<\/ol>\n<h4>\u591a\u667a\u80fd\u4f53\u534f\u4f5c<\/h4>\n<p>\u7ec4\u5efa\u56e2\u961f\u5904\u7406\u590d\u6742\u4efb\u52a1\uff0c\u4f8b\u5982\u5e02\u573a\u5206\u6790\uff1a<\/p>\n<ol>\n<li><strong>\u5b89\u88c5\u4f9d\u8d56<\/strong>\uff1a\u8fd0\u884c\u00a0<code>pip install duckduckgo-search yfinance<\/code>\u3002<\/li>\n<li><strong>\u7f16\u5199\u4ee3\u7801<\/strong>\uff1a\u65b0\u5efa\u00a0<code>agent_team.py<\/code>\uff0c\u8f93\u5165\uff1a\n<pre><code>from agno.agent import Agent  \r\nfrom agno.models.openai import OpenAIChat  \r\nfrom agno.tools.duckduckgo import DuckDuckGoTools  \r\nfrom agno.tools.yfinance import YFinanceTools  \r\nweb_agent = Agent(  \r\nname=\"Web Agent\",  \r\nmodel=OpenAIChat(id=\"gpt-4o\"),  \r\ntools=[DuckDuckGoTools()],  \r\ninstructions=[\"\u59cb\u7ec8\u63d0\u4f9b\u6765\u6e90\"],  \r\nmarkdown=True  \r\n)  \r\nfinance_agent = Agent(  \r\nname=\"Finance Agent\",  \r\nmodel=OpenAIChat(id=\"gpt-4o\"),  \r\ntools=[YFinanceTools(stock_price=True, analyst_recommendations=True)],  \r\ninstructions=[\"\u7528\u8868\u683c\u5c55\u793a\u6570\u636e\"],  \r\nmarkdown=True  \r\n)  \r\nteam_agent = Agent(  \r\nteam=[web_agent, finance_agent],  \r\ninstructions=[\"\u534f\u4f5c\u5b8c\u6210\u4efb\u52a1\"],  \r\nmarkdown=True  \r\n)  \r\nteam_agent.print_response(\"AI\u534a\u5bfc\u4f53\u516c\u53f8\u7684\u5e02\u573a\u524d\u666f\u5982\u4f55\uff1f\", stream=True)\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u8fd0\u884c\u7ed3\u679c<\/strong>\uff1aWeb Agent \u63d0\u4f9b\u65b0\u95fb\uff0cFinance Agent \u63d0\u4f9b\u6570\u636e\uff0c\u534f\u4f5c\u8f93\u51fa\u62a5\u544a\u3002<\/li>\n<\/ol>\n<h3>\u7279\u8272\u529f\u80fd\u64cd\u4f5c<\/h3>\n<h4>\u7ed3\u5408\u8bb0\u5fc6\u3001\u77e5\u8bc6\u548c\u5de5\u5177<\/h4>\n<p>\u521b\u5efa\u4e00\u4e2a\u7efc\u5408\u667a\u80fd\u4f53\uff1a<\/p>\n<ol>\n<li><strong>\u7f16\u5199\u4ee3\u7801<\/strong>\uff1a\u65b0\u5efa\u00a0<code>full_agent.py<\/code>\uff0c\u8f93\u5165\uff1a\n<pre><code>from agno.agent import Agent  \r\nfrom agno.models.openai import OpenAIChat  \r\nfrom agno.knowledge.pdf_url import PDFUrlKnowledgeBase  \r\nfrom agno.vectordb.lancedb import LanceDb  \r\nfrom agno.embedder.openai import OpenAIEmbedder  \r\nfrom agno.tools.duckduckgo import DuckDuckGoTools  \r\nagent = Agent(  \r\nmodel=OpenAIChat(id=\"gpt-4o\"),  \r\ndescription=\"\u4f60\u662f\u7f8e\u98df\u52a9\u624b\uff0c\u80fd\u8bb0\u4f4f\u7528\u6237\u559c\u597d\u5e76\u63d0\u4f9b\u83dc\u8c31\",  \r\ninstructions=[\"\u4f18\u5148\u4f7f\u7528\u77e5\u8bc6\u5e93\uff0c\u82e5\u4e0d\u8db3\u5219\u641c\u7d22\u7f51\u7edc\"],  \r\nknowledge=PDFUrlKnowledgeBase(  \r\nurls=[\"https:\/\/agno-public.s3.amazonaws.com\/recipes\/ThaiRecipes.pdf\"],  \r\nvector_db=LanceDb(  \r\nuri=\"tmp\/lancedb\",  \r\ntable_name=\"recipes\",  \r\nembedder=OpenAIEmbedder(id=\"text-embedding-3-small\")  \r\n)  \r\n),  \r\ntools=[DuckDuckGoTools()],  \r\nmarkdown=True  \r\n)  \r\nif agent.knowledge:  \r\nagent.knowledge.load()  \r\nagent.print_response(\"\u6211\u559c\u6b22\u8fa3\u5473\uff0c\u63a8\u8350\u4e00\u9053\u6cf0\u5f0f\u83dc\", stream=True)  \r\nagent.print_response(\"\u6211\u521a\u624d\u8bf4\u4e86\u4ec0\u4e48\u559c\u597d\uff1f\", stream=True)\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u8fd0\u884c\u7ed3\u679c<\/strong>\uff1a\u667a\u80fd\u4f53\u4f1a\u8bb0\u4f4f\u201c\u559c\u6b22\u8fa3\u5473\u201d\uff0c\u5e76\u63a8\u8350\u76f8\u5173\u83dc\u8c31\u3002<\/li>\n<\/ol>\n<h4>\u6027\u80fd\u6d4b\u8bd5<\/h4>\n<p>\u9a8c\u8bc1 Agno \u7684\u9ad8\u6548\u6027\uff1a<\/p>\n<ol>\n<li><strong>\u8fd0\u884c\u811a\u672c<\/strong>\uff1a\u5728 agno \u76ee\u5f55\u4e0b\u6267\u884c\uff1a\n<pre><code>.\/scripts\/perf_setup.sh  \r\nsource .venvs\/perfenv\/bin\/activate  \r\npython evals\/performance\/instantiation_with_tool.py\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u5bf9\u6bd4 LangGraph<\/strong>\uff1a\u8fd0\u884c\u00a0<code>python evals\/performance\/other\/langgraph_instantiation.py<\/code>\uff0c\u7ed3\u679c\u663e\u793a Agno \u542f\u52a8\u65f6\u95f4\u7ea6 2 \u5fae\u79d2\uff0c\u5185\u5b58\u5360\u7528\u7ea6 3.75KiB\u3002<\/li>\n<\/ol>\n<h4>\u7ed3\u6784\u5316\u8f93\u51fa<\/h4>\n<p>\u751f\u6210\u683c\u5f0f\u5316\u6570\u636e\uff1a<\/p>\n<ol>\n<li><strong>\u4fee\u6539\u4ee3\u7801<\/strong>\uff1a\u5728\u91d1\u878d\u667a\u80fd\u4f53\u4e2d\u8fd0\u884c\uff1a\n<pre><code>finance_agent.print_response(\"NVDA\u7684\u5206\u6790\u5e08\u5efa\u8bae\u662f\u4ec0\u4e48\uff1f\", stream=True)\r\n<\/code><\/pre>\n<\/li>\n<li><strong>\u8fd0\u884c\u7ed3\u679c<\/strong>\uff1a\u8fd4\u56de\u8868\u683c\u5f62\u5f0f\u7684\u5206\u6790\u5e08\u5efa\u8bae\u3002<\/li>\n<\/ol>\n<p>\u901a\u8fc7\u4ee5\u4e0a\u64cd\u4f5c\uff0c\u7528\u6237\u53ef\u5145\u5206\u5229\u7528 Agno \u7684\u8bb0\u5fc6\u3001\u77e5\u8bc6\u548c\u5de5\u5177\u529f\u80fd\uff0c\u6784\u5efa\u667a\u80fd\u9ad8\u6548\u7684 AI \u5e94\u7528\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Agno \u662f\u4e00\u4e2a\u7531 agno-agi \u56e2\u961f\u5f00\u53d1\u5e76\u6258\u7ba1\u4e8e GitHub \u7684\u5f00\u6e90 Python \u5e93\uff0c\u81f4\u529b\u4e8e\u8ba9\u5f00\u53d1\u8005\u8f7b\u677e\u6784\u5efa\u5177\u5907\u8bb0\u5fc6\u3001\u77e5\u8bc6\u548c\u5de5\u5177\u7684 AI \u667a\u80fd\u4f53\u3002\u5b83\u652f\u6301\u6587\u672c\u3001\u56fe\u50cf\u3001\u97f3\u9891\u548c\u89c6\u9891\u7b49\u591a\u6a21\u6001\u5904\u7406\uff0c\u63d0\u4f9b\u4f1a\u8bdd\u72b6\u6001\u5b58\u50a8\uff08memory\uff09\u3001\u77e5\u8bc6\u5e93\u67e5&#8230;<\/p>\n","protected":false},"author":1,"featured_media":61989,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[230,201],"class_list":["post-27906","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-tool","tag-aikaiyuanxiangmu","tag-aizhinengti"],"_links":{"self":[{"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/posts\/27906","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/comments?post=27906"}],"version-history":[{"count":0,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/posts\/27906\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/media\/61989"}],"wp:attachment":[{"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/media?parent=27906"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/categories?post=27906"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.kdjingpai.com\/ja\/wp-json\/wp\/v2\/tags?post=27906"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}