This content originally appeared on DEV Community and was authored by Vivek Yadav
🚀 Overview
Google's Agent-to-Agent (A2A) SDK is a powerful communication layer enabling multiple conversational agents (LLMs, rule-based bots, or services) to collaborate seamlessly within a shared context. It facilitates:
- Multi-agent orchestration
- Shared memory and context
- Agent coordination via events
- Plug-and-play interoperability across modalities
Used internally at Google (e.g., Gemini, Bard integrations), the A2A SDK is now open-source and aims to become the backbone of multi-agent conversational systems.
🧠 Key Concepts
Agent
An autonomous unit capable of receiving input, taking action, and producing output.Exchange
A communication channel that routes messages and events between agents.Session
A persistent interaction space where multiple agents operate and share state.Events
Messages or signals that trigger agent actions (e.g., TextInputEvent, AgentResponseEvent, ToolUseEvent).
🧱 Architecture Diagram
Example
Checkout the end-to-end implementation of A2A client and server here at repo.
🤖 Building More Advanced Agents
A2A supports event-driven composition. You can register agents that:
- Call tools or external APIs
- Chain multiple agents (like planners and executors)
- Share session state
- Handle multi-turn conversations
🌐 Use Case Examples
| Use Case | Description |
|---|---|
| Conversational RAG | Planner agent routes questions, retriever agent fetches from vector DB. |
| Voicebot + LLM | Voice agent transcribes speech, LLM responds, TTS agent speaks back. |
| Customer Support | One agent fetches customer info, another handles FAQs, another resolves. |
| Copilot Tooling | Planner agent routes requests to different developer tools or copilots. |
📌 Summary
| Component | Role |
|---|---|
| Agent | Receives events, produces responses |
| Exchange | Event router and session manager |
| Event | Input/output signal used for agent communication |
| Session | Shared memory space across agents in a flow |
Google's A2A SDK is modular, async, and developer-friendly, making it perfect for building next-gen AI agents.
This content originally appeared on DEV Community and was authored by Vivek Yadav
Vivek Yadav | Sciencx (2025-06-25T05:04:26+00:00) 🔄 Google Agent-to-Agent (A2A) Communication SDK – In-Depth Guide with Python Example. Retrieved from https://www.scien.cx/2025/06/25/%f0%9f%94%84-google-agent-to-agent-a2a-communication-sdk-in-depth-guide-with-python-example/
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