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Python Quickstart Tutorial: Building an A2A Agent

Welcome to the Agent2Agent (A2A) Python Quickstart Tutorial!

In this tutorial, you will explore a simple "echo" A2A server using the Python SDK. This will introduce you to the fundamental concepts and components of an A2A server. You will then look at a more advanced example that integrates a Large Language Model (LLM).

This hands-on guide will help you understand:

  • The basic concepts behind the A2A protocol.
  • How to set up a Python environment for A2A development using the SDK.
  • How Agent Skills and Agent Cards describe an agent.
  • How an A2A server handles tasks.
  • How to interact with an A2A server using a client.
  • How streaming capabilities and multi-turn interactions work.
  • How an LLM can be integrated into an A2A agent.

By the end of this tutorial, you will have a functional understanding of A2A agents and a solid foundation for building or integrating A2A-compliant applications.

Tutorial Sections

The tutorial is broken down into the following steps:

  1. Introduction (This Page)
  2. Setup: Prepare your Python environment and the A2A SDK.
  3. Agent Skills & Agent Card: Define what your agent can do and how it describes itself.
  4. The Agent Executor: Understand how the agent logic is implemented.
  5. Starting the Server: Run the Helloworld A2A server.
  6. Interacting with the Server: Send requests to your agent.
  7. Streaming & Multi-Turn Interactions: Explore advanced capabilities with the LangGraph example.
  8. Next Steps: Explore further possibilities with A2A.

Let's get started!