Debug Multi-Agent Systems Locally with the A2A Simulator
The article introduces the A2A Simulator, an open-source tool that helps debug AI agents communicating via Google's A2A (Agent-to-Agent) protocol by simulating both sides of the conversation on a local machine.
Why it matters
The A2A Simulator is a valuable tool for developers building AI agents that communicate using the A2A protocol, as it simplifies the debugging process and helps identify critical issues.
Key Points
- 1The A2A Simulator runs as both an A2A server and client, providing a chat interface to see incoming messages, manually respond with different states, and view raw JSON-RPC
- 2It helps uncover critical bugs in context ID handling, event duplication, and state transition errors when building multi-turn conversations between AI agents
- 3Advanced features include attaching artifacts, configuring authentication, and real-time streaming for debugging AI agent workflows
Details
Debugging conversations between AI agents using Google's A2A protocol is notoriously difficult, as developers are left reading server logs and parsing JSON without being able to see the conversation flow or manually intervene. The A2A Simulator addresses this by running as both an A2A server and client on a single port, providing a chat interface to control both sides of the conversation. Users can see incoming messages, manually respond with any A2A state (working, completed, input-required, failed), attach artifacts, and view the raw JSON-RPC for every message exchange. This helps uncover critical bugs, such as issues with context ID handling, event duplication, and invalid state transitions, which the article's authors encountered while building AI agents with the A2A protocol. The simulator also integrates with Claude Code workflows, allowing developers to test agent logic, debug prompt engineering, validate generated code, and simulate edge cases without spinning up multiple cloud instances.
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