<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:content="http://purl.org/rss/1.0/modules/content/"><channel><title>工具调用 on 硅基 AGI · 智能体学习与测评</title><link>https://guijiagi.com/tags/%E5%B7%A5%E5%85%B7%E8%B0%83%E7%94%A8/</link><description>Recent content in 工具调用 on 硅基 AGI · 智能体学习与测评</description><generator>Hugo</generator><language>zh-cn</language><copyright>本站内容采用 CC BY-NC-SA 4.0 国际许可协议授权</copyright><lastBuildDate>Thu, 16 Jul 2026 11:17:00 +0800</lastBuildDate><atom:link href="https://guijiagi.com/tags/%E5%B7%A5%E5%85%B7%E8%B0%83%E7%94%A8/index.xml" rel="self" type="application/rss+xml"/><item><title>AI Agent工具调用机制：从Function Calling到MCP</title><link>https://guijiagi.com/posts/b1-a7bddd3c/</link><pubDate>Thu, 16 Jul 2026 11:17:00 +0800</pubDate><guid>https://guijiagi.com/posts/b1-a7bddd3c/</guid><description>深入解析AI Agent工具调用的技术演进，从OpenAI Function Calling到MCP协议的标准化进程</description></item><item><title>Function Calling标准化演进：从OpenAI到MCP统一协议</title><link>https://guijiagi.com/posts/b2-50735315/</link><pubDate>Thu, 16 Jul 2026 10:24:00 +0800</pubDate><guid>https://guijiagi.com/posts/b2-50735315/</guid><description>梳理大模型函数调用技术的标准化历程，分析不同厂商方案差异及MCP协议带来的统一前景</description></item><item><title>MCP协议实战：构建标准化的AI工具调用接口</title><link>https://guijiagi.com/posts/b2-77f8d611/</link><pubDate>Thu, 16 Jul 2026 10:01:00 +0800</pubDate><guid>https://guijiagi.com/posts/b2-77f8d611/</guid><description>详解Model Context Protocol协议的设计理念、核心规范及在AI Agent中的工程实现</description></item><item><title>Function Calling最佳实践</title><link>https://guijiagi.com/posts/function-calling-best-practices/</link><pubDate>Thu, 02 Jul 2026 11:19:00 +0800</pubDate><guid>https://guijiagi.com/posts/function-calling-best-practices/</guid><description>从工具定义到错误处理，LLM Function Calling的工程最佳实践</description></item><item><title>Agent模型选型框架：为智能体挑大脑</title><link>https://guijiagi.com/posts/agent-model-selection-framework/</link><pubDate>Thu, 02 Jul 2026 11:04:00 +0800</pubDate><guid>https://guijiagi.com/posts/agent-model-selection-framework/</guid><description>系统化Agent模型选型框架，覆盖工具调用、推理、记忆等多维度评估</description></item><item><title>Agent工具选择架构：让AI自己决定用什么工具</title><link>https://guijiagi.com/posts/agent-tool-selection-architecture/</link><pubDate>Thu, 02 Jul 2026 10:03:00 +0800</pubDate><guid>https://guijiagi.com/posts/agent-tool-selection-architecture/</guid><description>探讨Agent如何从海量工具中智能选择合适的工具，以及工具选择架构的设计模式</description></item><item><title>MCP 协议 2026：Agent 工具调用的事实标准？</title><link>https://guijiagi.com/posts/mcp-protocol-fact-standard-2026/</link><pubDate>Tue, 30 Jun 2026 16:40:00 +0800</pubDate><guid>https://guijiagi.com/posts/mcp-protocol-fact-standard-2026/</guid><description>MCP（Model Context Protocol）协议深度解析：工作原理、生态进展、与A2A协议的对比，以及Agent互操作性的未来</description></item><item><title>Agent工具调用准确率测评</title><link>https://guijiagi.com/posts/agent-tool-calling-eval/</link><pubDate>Sat, 27 Jun 2026 15:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/agent-tool-calling-eval/</guid><description>Agent工具调用准确率测评</description></item><item><title>Agent工具调用准确率测评：方法、指标与实践</title><link>https://guijiagi.com/posts/agent-tool-calling-accuracy-eval/</link><pubDate>Sat, 27 Jun 2026 15:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/agent-tool-calling-accuracy-eval/</guid><description>系统介绍AI Agent工具调用准确率的测评方法，涵盖指标设计、测试构建与评估框架</description></item><item><title>ReAct Prompting实战</title><link>https://guijiagi.com/posts/react-prompting-practice/</link><pubDate>Sat, 27 Jun 2026 15:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/react-prompting-practice/</guid><description>ReAct（Reasoning and Acting）提示框架的原理、模板与工程实践</description></item><item><title>MCP 协议深度解析：从架构到实现</title><link>https://guijiagi.com/posts/mcp-protocol-deep-dive/</link><pubDate>Fri, 26 Jun 2026 14:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/mcp-protocol-deep-dive/</guid><description>深入剖析 Model Context Protocol (MCP) 的架构设计、通信机制、工具调用流程，并通过代码示例展示如何从零实现一个 MCP Server 与 Client。</description></item><item><title>智能体工具设计模式</title><link>https://guijiagi.com/posts/agent-tool-design-patterns/</link><pubDate>Fri, 26 Jun 2026 14:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/agent-tool-design-patterns/</guid><description>系统梳理 AI 智能体工具设计的核心模式、最佳实践与反模式，助力构建可靠可扩展的工具调用体系</description></item><item><title>Function Calling 生产实践：从 Demo 到可靠工具调用</title><link>https://guijiagi.com/posts/function-calling-production/</link><pubDate>Thu, 25 Jun 2026 10:00:00 +0800</pubDate><guid>https://guijiagi.com/posts/function-calling-production/</guid><description>Function Calling 在生产环境中的完整实践指南，覆盖 Schema 设计、参数验证、错误恢复、并行调用与安全沙箱</description></item></channel></rss>