What Is LLM Observability? A Practitioner's Guide to Tracing, Evaluating and Costing AI in Production

LLM observability is the practice of collecting traces, metrics, evaluations and cost data from a large language model application in production so you can understand why it behaved as it did, prove whether its output was good, and see what each response cost. Covers the 4 signals to monitor and how to choose a tool.