As AI agents move from demos to production, observability becomes the make-or-break factor. This piece covers a practical approach using LLM-as-a-Judge for evaluation and regression testing for multi-agent systems - the kind of infrastructure work that doesn't get enough attention but separates toy projects from real deployments.
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Production-Grade Observability for AI Agents: A Minimal-Code, Configuration-First Approach
LLM-as-a-Judge, regression testing, and end-to-end traceability of multi-agent LLM systems The post Production-Grade Observability for AI Agents: A Minimal-Code, Configuration-First Approach appeared first on Towards Data Science.
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