A2A Course #4 - Build A2A with Multiple Agents | Architecture

In this tutorial, we dive deep into building a robust multi-agent architecture using Google’s Agent-to-Agent (A2A) protocol and ADK. This will cover the system architecture only and we'll follow-up with implementation in the future videos - Create a frontend CLI or curl-based client that sends tasks to your Host/Orchestrator agent - Implement the backend A2A server to receive and route JSON-RPC calls - Build a Host/Orchestrator agent that leverages LLM tooling to decide when and how to delegate tasks - Wire up agent discovery via a simple registry and dynamic fetching of AgentCards - Delegate work through an AgentConnector to remote agents (e.g., TellTimeAgent) and gather their responses - Stitch it all together for a seamless user experience Whether you’re building chatbots, automated workflows, or complex AI pipelines, understanding how to orchestrate multiple agents is key. ⸻ 🔖 Chapters: 00:00 Introduction 00:53 Frontend – CLI & A2A Client setup 02:46 Backend – A2A Server implementation 03:57 Host/Orchestrator Agent – LLM orchestration & tools 04:44 Agent Discovery and Task Delegation – registry & dynamic invocation 05:45 Remote Agent Connection – writing the AgentConnector 07:25 Summary (TLDR) 08:54 Outro ⸻ 📂 Code is available here: A2A Agent With Google ADK - note this is the previous code and implementation code for multi agent will follow in the next video - https://theailanguage.com/onlySubscribers?id=a2a_samples&site=github Note - Please Subscribe, allow pop-ups and then login to The AI Language website to access our GitHub Repos. Access is available only to our YouTube subscribers. Thanks! Happy building! ☺️ --------------------------------------------------------------------------------------------- Udemy Course (get completion certificate, practice questions, Q&A) https://www.udemy.com/course/modelcontextprotocol/?referralCode=6FADE0F85C5DB97203C6 --------------------------------------------------------------------------------------------- 👍 If you found this tutorial helpful, please like, share, and subscribe for more deep dives into AI agent frameworks! 🚀 Happy coding! #A2A,#MultiAgent,#GoogleADK,#AI,#Orchestrator,#Discovery,#TaskDelegation,#Python,#CLI,#Starlette,#Async,#Agents,#Workflow,#Chatbots