A2a In Action
What is A2a In Action
a2a-in-action is a modified clone of the official A2A project, designed as a practical code example for beginners to learn about A2A functionalities.
Use cases
Use cases include demonstrating A2A capabilities through sample agents, creating CLI applications for task execution, and developing web applications that interact with multiple agents.
How to use
To use a2a-in-action, clone the repository, ensure you have Python 3.13 or higher and UV installed, then run the sample agents and host applications as described in the README.
Key features
Key features include a common codebase for A2A communication over HTTP, multiple sample agents in various frameworks, and host applications that demonstrate task completion and orchestration.
Where to use
a2a-in-action can be used in educational settings for teaching A2A concepts, as well as in development environments for testing and prototyping A2A applications.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Overview
What is A2a In Action
a2a-in-action is a modified clone of the official A2A project, designed as a practical code example for beginners to learn about A2A functionalities.
Use cases
Use cases include demonstrating A2A capabilities through sample agents, creating CLI applications for task execution, and developing web applications that interact with multiple agents.
How to use
To use a2a-in-action, clone the repository, ensure you have Python 3.13 or higher and UV installed, then run the sample agents and host applications as described in the README.
Key features
Key features include a common codebase for A2A communication over HTTP, multiple sample agents in various frameworks, and host applications that demonstrate task completion and orchestration.
Where to use
a2a-in-action can be used in educational settings for teaching A2A concepts, as well as in development environments for testing and prototyping A2A applications.
Clients Supporting MCP
The following are the main client software that supports the Model Context Protocol. Click the link to visit the official website for more information.
Content
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:
- Navigate to the agent directory:
cd samples/python/agents/langgraph - Run an agent:
uv run . - In another terminal, navigate to the CLI directory:
cd samples/python/hosts/cli - Run the example client
uv run .
NOTE:
This is sample code and not production-quality libraries.
Dev Tools Supporting MCP
The following are the main code editors that support the Model Context Protocol. Click the link to visit the official website for more information.
