LLM tracing records the connected stages of an AI request, so teams can see what happened, where latency or errors arose, and which prompts, retrieval results, evidence, and tool actions shaped the final output. It isn't a complete quality program, but it gives engineers the operational feedback loop and evidence trail they need to improve […]