LLM Observability: How to Monitor Large Language Models in Production
TL;DR:
LLM observability is the foundation for debugging and improving large language models in production. It combines tracing, evaluation, and monitoring to capture every prompt, generation, and feedback loop across workflows. This guide explains key concepts like traces, spans, and retrievals, and shows how Maxim AI implements full-stack observability
