Production-Grade Observability for AI Agents: A Minimal-Code, Configuration-First Approach

Innovative approach to making AI agents production-ready through minimal-code, configuration-first methodology. Focuses on LLM-as-judge techniques, regression testing, and end-to-end traceability for multi-agent AI systems, enhancing observability and reliability.