TraceLLM

Overview

TraceLLM is an observability layer that instruments prompts, model calls, tools, and user feedback to offer detailed traces of AI workflows.[4] It lets teams search and replay interactions, detect regressions after model or prompt changes, and correlate performance with user segments or environments. By mirroring familiar tracing patterns from traditional microservices, it makes AI debugging and reliability work more approachable to existing SRE teams.