traceloop/openllmetry

Health v2 · maintenance only

Adoption not part of the score

7402 stars · 1060 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

OpenLLMetry is an open-source set of OpenTelemetry extensions and SDKs that provide observability (tracing, metrics, logging) for LLM and GenAI applications. It instruments popular LLM providers and frameworks non-intrusively and exports telemetry to Traceloop or any existing observability stack.

Use cases

• trace and debug LLM calls in production
• monitor token usage and costs of OpenAI applications
• add OpenTelemetry instrumentation to a LangChain or vector DB pipeline
• export LLM traces to Datadog or another observability backend
• observe prompts and completions of a chatbot
• set up LLM observability with minimal code changes

When to choose

• you want standards-based OpenTelemetry tracing for LLM apps
• you need vendor-neutral export to your existing observability stack
• you use Python or TypeScript with supported LLM providers/frameworks
• you want non-intrusive instrumentation with a few lines of code

When to avoid

• you need a full commercial LLM monitoring UI out of the box without a backend
• your stack is in a language without an SDK (e.g., Go, Java)
• you only need simple prompt logging without distributed tracing

Facets

library · maturity active

monitoring tracing logging sdk large-language-models monitoring developer-tools artificial-intelligence python cross-platform llm-observability opentelemetry llmops genai tracing model-monitoring nodejs

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markdown · JSON · MCP: product_card(name="traceloop/openllmetry")