A2A Protocol Technical Documentation
Code Examples

Code Examples

Code Examples

This section provides concrete code examples for the A2A Protocol to help you understand how to apply the protocol in practical projects.

We currently offer examples in the following languages:

  • JavaScript Examples: Demonstrates how to use the A2A Protocol in Node.js or browser environments.
  • Python Examples: Shows how to implement A2A Agents and Clients using Python.

These examples aim to demonstrate the core interaction flows of the A2A protocol, including Agent discovery, task creation, message passing, and artifact handling.

You can refer to this example code as a starting point for building your own A2A applications.

Overview

This section provides complete example code for the A2A Protocol, including:

  • Basic implementations in Python and JavaScript
  • Integration examples with mainstream frameworks
  • Best practices and design patterns

Basic Examples

Framework Integration

Python Frameworks

  • LangGraph Integration
  • CrewAI Integration
  • Google ADK Integration

JavaScript Frameworks

  • Genkit Integration
  • AutoGen Integration
  • Node.js Web Framework Integration

Example Projects

1. Multi-Agent Dialogue System

Demonstrates how to build a dialogue system with multiple collaborating agents:

  • User Access Agent
  • Task Coordination Agent
  • Domain Expert Agent

2. Code Assistant

Shows how to implement code generation and review functionalities:

  • Code Generation Agent
  • Code Review Agent
  • Test Case Generation Agent

3. Enterprise Knowledge Base

Illustrates how to build an enterprise-level knowledge management system:

  • Document Indexing Agent
  • Question Answering Agent
  • Content Recommendation Agent

Best Practices

1. Agent Design Patterns

  • Use Adapter Pattern for integrating external services
  • Employ Chain of Responsibility Pattern for handling tasks
  • Implement Observer Pattern for status updates

2. Error Handling

  • Use exception handling appropriately
  • Implement graceful degradation
  • Provide clear error messages

3. Performance Optimization

  • Use asynchronous processing
  • Implement caching mechanisms
  • Optimize resource utilization

API Reference