Replayable A2A jury to trace how agents influence decisions

This tool introduces a replayable jury process for Agent-to-Agent (A2A) interactions, letting developers reconstruct and audit how individual AI agents shaped a final decision. It addresses the growing need for transparency and accountability in multi-agent systems, where understanding influence is key to debugging and trust.

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