{"repo":"huangjia2019/a2a-in-action","free":true,"listed":false,"github":"https://github.com/huangjia2019/a2a-in-action","clone":"git clone https://github.com/huangjia2019/a2a-in-action.git","description":"我从A2A官方克隆下来，并加以修改的A2A实战代码示例，用于初学者入门教学，大家一起来A2A吧。","language":"Python","stars":90,"topics":["a2a","a2a-mcp","a2a-protocol","ai","llm","mcp"],"license":null,"category":"mcp-servers","readme_excerpt":"极客时间专栏学习之旅 👉 点击进入专栏介绍页 --- 本专栏自上线两周以来，已有近3000位同学加入学习之旅。欢迎你一同开启知识探索之门！ Sample Code This code is used to demonstrate A2A capabilities as the spec progresses.\\ Samples are divided into 3 sub directories: Common Common code that all sample agents and apps use to speak A2A over HTTP. Agents Sample agents written in multiple frameworks that perform example tasks with tools. These all use the common A2AServer. Hosts Host applications that use the A2AClient. Includes a CLI which shows simple task completion with a single agent, a mesop web application that can speak to multiple agents, and an orchestrator agent that delegates tasks to one of multiple remote A2A agents. Prerequisites - Python 3.13 or higher - UV Running the Samples Run one (or more) agent A2A server and one of the host applications. The following example will run the langgraph agent with the python CLI host: 1. Navigate to the agent directory: 2. Run an agent: 3. In another terminal, navigate to the CLI directory: 4. Run the example client --- NOTE: This is sample code and not production-quality libraries. ---","default_branch":null,"files":null,"tree":[],"storefront":"/r/huangjia2019","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/huangjia2019/a2a-in-action/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}