Introduction

AI agents are powerful on their own, but many real-world tasks require collaboration across multiple agents. Coordinating these interactions manually can be complex, especially when agents are remote or distributed.

The Agent-to-Agent (A2A) protocol addresses this challenge by providing a standardized framework for agent discovery, communication, and coordinated task execution. By implementing A2A, you can easily manage connections to remote agents, delegate requests to the appropriate agent, and enable seamless, standardized, and secure communication between agents.

For example, imagine a technical writer who wants to create compelling blog content. One agent generates compelling article headlines, while another creates detailed outlines. Using A2A, a routing agent coordinates the workflow: it sends the user's request to the title agent, passes the generated title to the outline agent, and returns the final outline to the user—all automatically.

In this module, you learn how to implement the A2A protocol with Azure AI Agents. You also practice configuring a routing agent, registering remote agents, and building a coordinated workflow that allows multiple agents to collaborate effectively.