LLM Observability: What to Measure and Where to Instrument It

TL;DR LLM observability captures execution traces, operational metrics, and contextual logs across non-deterministic model calls where traditional HTTP status codes fail to indicate output correctness. The five critical metrics for production AI workloads are token consumption, real-time cost, t...

Source: [Dev.to](https://dev.to/kuldeep_paul/llm-observability-what-to-measure-and-where-to-instrument-it-1k6p)