Traceloop
Traceloop is an LLM reliability and observability platform built on OpenTelemetry that provides full visibility into every prompt, response, and failure across AI pipelines. The platform enables teams to monitor LLM quality in production, detect model drift and hallucinations, run automated evaluations via LLM-as-a-judge, and enforce quality gates in CI/CD workflows. Traceloop exposes a REST API for managing auto-monitor setups, running 40+ built-in evaluators (safety, faithfulness, PII, toxicity, structural validation), querying metrics and span warehouse data, and administering organizations and environments. The open-source OpenLLMetry SDK integrates in one line of code across Python, TypeScript, Go, and Ruby with support for 20+ LLM providers and major orchestration frameworks.
APIs
Traceloop REST API
REST API for managing LLM observability infrastructure including auto-monitor setups, evaluators, metrics, organizations, tracing privacy controls, cost reporting, and span ware...