Traceloop

Traceloop is an LLM observability and reliability platform, and the maintainer of the open-source OpenLLMetry project, which extends OpenTelemetry to LLM applications. It provides tracing, monitoring, and evaluation across many providers and frameworks, with vendor-neutral instrumentation that can send data to Traceloop or other observability backends. It suits engineering teams operating LLM-powered products.

Traceloop is an observability platform for applications built on large language models, and the maintainer of OpenLLMetry, an open-source set of OpenTelemetry instrumentations for LLM apps. The premise is that LLM applications are hard to debug and monitor because their behavior is non-deterministic; Traceloop brings the discipline of traditional observability (tracing, metrics, and monitoring) to prompts, completions, chains, and agents so developers can see what their applications are actually doing in production. Because it is built on OpenTelemetry, Traceloop's instrumentation is vendor-neutral: teams can send traces to Traceloop's managed platform or to any of dozens of supported observability backends. OpenLLMetry supports many languages and integrates with a wide range of model providers (such as OpenAI, Anthropic, and others), vector databases, and orchestration frameworks like LangChain and LlamaIndex. On top of tracing, Traceloop offers monitoring and evaluation features aimed at improving the reliability and quality of LLM outputs over time. Traceloop targets engineering teams building and operating LLM-powered products who need visibility, debugging, and quality tracking. The open-source library is free and Apache-2.0 licensed, and the managed platform offers a generous free usage tier, making it accessible to individual developers and small teams as well as larger organizations.