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.
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🔖 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
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📂 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
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Happy building! ☺️
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Udemy Course (get completion certificate, practice questions, Q&A) https://www.udemy.com/course/modelcon...
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🚀 Happy coding!
#A2A,#MultiAgent,#GoogleADK,#AI,#Orchestrator,#Discovery,#TaskDelegation,#Python,#CLI,#Starlette,#Async,#Agents,#Workflow,#Chatbots
