Traceloop Review 2026

LLM reliability platform that turns evals and monitors into a continuous feedback loop — recently announced to be joining ServiceNow.

Traceloop is an LLM reliability platform built around a continuous feedback loop between evaluation and production monitoring. The product replaces the typical 'spreadsheets stuffed with ad-hoc scores' workflow with structured online evals that run against real production traffic, monitors that alert when quality drifts, and tooling to trace and explain regressions back to specific prompts, retrievals, or tool calls. Traceloop is also the team behind OpenLLMetry, the open-source OpenTelemetry instrumentation for LLM applications, which means customers can use the same OTel pipeline they already run for traditional services to capture LLM spans. In 2026 Traceloop announced it is joining ServiceNow; the standalone product continues to ship and customers can still sign up for free or contact sales for enterprise use. Typical use cases include catching prompt-template regressions before they hit users, monitoring agent tool-call success rates, debugging RAG quality across data sources, and giving product leaders a single dashboard for LLM app health. Pricing covers a free tier, a paid plan, and enterprise contracts; figures are on traceloop.com/pricing. Best for AI product teams shipping LLM features who want trustworthy evals tied to real production traffic.