This article details a method for locally recording Multi-Agent Conversation (MCP) agent interactions. It utilizes OpenTelemetry for tracing, LangGraph for agent orchestration, and the WSO2 API Platform's MCP Gateway for managing communication. The setup allows for detailed logging of agent behavior, including tool usage and language model interactions, which is crucial for debugging and understanding complex multi-agent systems. AI
IMPACT Provides a detailed logging solution for multi-agent systems, aiding developers in debugging and analysis.
RANK_REASON Article describes a technical implementation for logging agent interactions, not a new product or frontier release.
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