a2a-in-action

# 极客时间专栏学习之旅 [👉 点击进入专栏介绍页](https://time.geekbang.org/column/intro/101053801) --- 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**](/samples/python/common) Common code that all sample agents and apps use to speak A2A over HTTP. * [**Agents**](/samples/python/agents/README.md) Sample agents written in multiple frameworks that perform example tasks with tools. These all use the common A2AServer. * [**Hosts**](/samples/python/hosts/README.md) 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](https://docs.astral.sh/uv/) ## Running the Samples Run one (or more) [agent](/samples/python/agents/README.md) A2A server and one of the [host applications](/samples/python/hosts/README.md). The following example will run the langgraph agent with the python CLI host: 1. Navigate to the agent directory: ```bash cd samples/python/agents/langgraph ``` 2. Run an agent: ```bash uv run . ``` 3. In another terminal, navigate to the CLI directory: ```bash cd samples/python/hosts/cli ``` 4. Run the example client ``` uv run . ``` --- **NOTE:** This is sample code and not production-quality libraries. ---