Traceloop

OpenTelemetry-Based LLM Observability

Traceloop is an AI reliability and quality platform that provides OpenTelemetry-based observability for LLM applications and AI pipelines. By building on the OpenTelemetry standard, Traceloop ensures that LLM traces and metrics integrate seamlessly with existing observability infrastructure — Datadog, Grafana, Jaeger, and other standard monitoring tools — rather than requiring a siloed AI-specific monitoring platform.

Standards-Based AI Monitoring

Traceloop's core innovation is its OpenLLMetry open-source library, which instruments LLM calls, vector database operations, and AI framework interactions following the OpenTelemetry semantic conventions. This means organizations can observe their LLM applications using the same tools and processes they use for all other services, without learning a new monitoring paradigm or duplicating observability infrastructure.

• OpenTelemetry-compatible LLM tracing and metrics
• Auto-instrumentation for LangChain, LlamaIndex, and other frameworks
• Integration with Datadog, Grafana, Jaeger, and 15+ backends
• Prompt versioning and A/B testing support
• Open-source core with permissive licensing

For Engineering Teams with Existing Observability

Traceloop is ideal for organizations that already invest in observability infrastructure and want LLM monitoring to be a first-class citizen within it. Rather than adding yet another standalone tool, Traceloop extends existing monitoring capabilities to cover AI components using standards that engineering teams already understand.