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Traceloop

Turns evals and monitors into a continuous feedback loop for LLM apps

AI Toolsllm-observabilityevaluationopentelemetryllm-monitoringai-qualityopen-sourcedeveloper-tools
Traceloop screenshot

About

Traceloop is an LLM reliability platform that helps teams monitor model quality, catch regressions, and run automated evaluations on their AI applications. It integrates via a single line of code using OpenTelemetry standards and supports 20+ LLM providers and popular frameworks. Teams can define custom quality metrics, run evals on pull requests or in production, and deploy on cloud, on-prem, or air-gapped environments.

Problem

LLM app quality degrades silently in production and teams lack reliable tools to catch regressions before users are affected.

For

Engineering teams building and shipping LLM-powered applications

How it works

Traceloop instruments LLM calls via a one-line SDK integration built on OpenTelemetry, then automatically runs quality evaluations and monitors on real traffic to surface issues early.

Business model

freemium

Status

launched

Company

Traceloop

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