Tutorial Guide

A2A Protocol Tutorial Guide

Welcome to the hands-on tutorials for the A2A Protocol! This series provides a complete learning path—from fundamentals to advanced usage—so you can quickly get productive building A2A-compatible agents.

🎯 Learning goals

By completing these tutorials, you will learn:

  • Core concepts and design principles of the A2A Protocol
  • How to set up an A2A development environment with the Python SDK
  • How to create and configure agent skills and AgentCards
  • How to implement the core logic of an A2A server
  • How to handle client–server interactions
  • How to use streaming and multi-turn conversation
  • How to integrate an LLM into an A2A agent

📚 Tutorial series

🐍 Python Quickstart Tutorial

A complete Python development tutorial that guides you from zero to a working A2A agent:

  1. Tutorial introduction - What you’ll build and what you’ll learn
  2. Environment setup - Prepare Python and the A2A SDK
  3. Agent skills and AgentCard - Define and describe agent capabilities
  4. Agent executor - Implement the agent’s core logic
  5. Start the server - Run the A2A server
  6. Client interaction - Send requests and handle responses
  7. Streaming and multi-turn - Advanced interaction features
  8. Next steps - Where to go from here

🎨 Recommended learning paths

👶 Beginner path

If you’re new to A2A:

  1. Read Core Topics for the fundamentals
  2. Complete the Python tutorial steps in order
  3. Run every code sample and understand how it works

🔨 Experienced developers

If you already have AI/protocol development experience:

  1. Skim What is A2A?
  2. Focus on Agent skills and AgentCard
  3. Go deep on Streaming and multi-turn

🏢 Enterprise teams

If you’re implementing in an enterprise environment:

  1. Review Enterprise-ready features
  2. Complete the full Python tutorial
  3. Study advanced features in Extensions

💡 Learning tips

📝 Practice-first

  • Every tutorial includes runnable code samples
  • Run and modify the examples locally
  • Try your own variations and extensions

🔍 Go deeper

  • Don’t just learn “how”, understand “why”
  • Use Key Concepts as a reference
  • Explore the example code in the official GitHub repository

🤝 Community

  • Check the FAQ when you get stuck
  • Open GitHub issues and join discussions
  • Share your learnings with other developers

🛠️ Tooling recommendations

IDEs and editors

  • Visual Studio Code (recommended)
  • PyCharm Professional
  • Sublime Text

Debugging tools

  • Python debugger (pdb)
  • HTTP clients (Postman, curl)
  • JSON formatting tools

Testing tools

  • pytest
  • HTTP testing libraries
  • mocking tools

Ready to start? Begin with the Python tutorial introduction.