Summary
EDDI is a multi-agent AI engine that defines agent logic, including behavior, LLM usage, and tool calls, entirely within JSON configurations instead of code. Evolving from a rule-based dialog engine, its core innovation aims to provide developers with greater control and predictability over AI agent actions in production environments. This approach simplifies the management and deployment of complex AI systems by externalizing agent intelligence into declarative configurations.
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