May 2027
Intermediate to advanced
425 pages
7h 45m
English
Content preview from Multimodal, Real-Time AI Agent Systems
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Chapter 8. Implementing A2A-Compliant Agents
In the previous chapter, we explored the theory behind the Agent2Agent (A2A) protocol. This chapter is where we turn that theory into practice. We’ll dive into how it works, using the official A2A Python SDK to build agents that can discover, delegate, and collaborate, regardless of their underlying frameworks.
Our goal is to show you that while the concepts behind agent interoperability are powerful, the process of implementing them is concrete and achievable. By the end of this chapter, you will have built and orchestrated a team of agents that work together to solve a problem, bridging different technologies through the power of a shared protocol.
Introducing the A2A Python Toolkit
Throughout this chapter, we will be working with a few essential classes from the a2a-sdk Python library. Think of these as the primary tools in your A2A workshop. While the SDK provides many components, you’ll find that most of your work revolves around just three ...
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