The LLM observability category is fragmented Search for "LLM observability" today and you'll get results from eight tools that do subtly different things. One is a tracing SDK you wire into your app. Another is a reverse proxy that logs every request. A third is an evals platform that happens to include tracing. A fourth is an enterprise ML monitoring product that added LLM support last year. They all claim the same keywords — tracing, observability, logging, cost tracking — but their architectures, data models, and strengths diverge significantly. Picking the wrong one costs you weeks of integration work and, worse, leaves blind spots in production. This post is the map we wish we'd had when we started building Grepture. We'll cover the eight tools most teams evaluate in 2026, how they actually differ, and when to pick each. We build a tool in this space, so we'll flag that clearly — but the bulk of this post is about the other seven, because you need that context first.…