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.