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Microsoft’s AutoGen update boosts AI agents with cross-language interoperability and observability
Microsoft's AutoGen for AI agents is popular among agent developers, and a new update addresses observability and flexibility issues.
“At the same time, users struggled with architectural constraints, an inefficient API compounded by rapid growth and limited debugging and intervention functionality.” To address the issue of observability, AutoGen v0.4 has built-in metric tracking, messaging tracing and debugging tools so users can monitor agent interactions. It has three layers: core, which consists of the foundational building blocks for an event-driven system; AgentChat, a “task-driven, high-level API built on the core layer” that features group chat, code execution and pre-built agents and is most similar to AutoGen v0.2; and first-party extensions, which interface with integrations like the Azure code executor and OpenAI’s model client.
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