A2A 规范未言尽的实践细节与深度指南
依据 A2A v1.0 规范撰写的字段级智能体发现实践指南。每篇指南均配合实际检测与验证工具,帮您快速落地。
部分文章提供中文译本,未翻译文章以英文展示。
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智能体架构大一统:Linux 基金会 AAIF 下的 A2A 与 MCP 协同实战
详解 Linux 基金会 Agentic AI Foundation (AAIF) 如何将 MCP 与 A2A 整合为生产级双层架构,实现内部工具调用与跨框架外部协同的深度统一。
A2A x402 商业化扩展:如何为 AI 智能体配置按次即时付费调用
解析 A2A x402 协议扩展如何将 HTTP 402 Payment Required 引入 Agent Card,让自主智能体支持定价声明、计量计费与跨智能体即时清结算。
A2A vs MCP: two protocols solving two different problems
Compare A2A vs MCP: what each protocol connects, where they overlap, and why production AI agent systems often use both for tools and agent collaboration.
How to create an agent.json file for A2A v1.0
Learn how to create an agent.json file for A2A v1.0, including required Agent Card fields, the well-known URL, response headers, and common mistakes.
Publishing an Agent Card from ADK, LangGraph, CrewAI or Semantic Kernel
Learn how to publish an A2A Agent Card from Google ADK, LangGraph, CrewAI, or Semantic Kernel by mapping framework concepts to standard discovery fields.
Agent Card validation errors explained, one by one
Diagnose every A2A v1.0 Agent Card validation error and warning, understand what triggers it, and apply the exact fix in validator check order.
What A2A v1.0 changed in the Agent Card
Learn how A2A v1.0 changes Agent Cards, from supportedInterfaces and required skill tags to removed fields, with practical v0.x migration examples.