OpenLLMetry

OpenLLMetry is an open-source observability framework for LLM and generative AI applications, built on top of OpenTelemetry. Maintained by Traceloop under the Apache 2.0 license, it provides drop-in instrumentation for 30+ LLM providers, vector databases, and agent frameworks, and emits standardized GenAI traces over OTLP to any observability backend (Datadog, Grafana, Honeycomb, New Relic, Splunk, Langfuse, LangSmith, Braintrust, and the Traceloop platform). Its semantic conventions for LLMs have been upstreamed into the OpenTelemetry GenAI semantic conventions.

Kin Score

This is the API Evangelist rating — a single, repeatable read computed from the artifacts on this page. Green fill is points earned; the red track is points possible, so every bar shows earned-versus-possible at a glance.

How we profile OpenLLMetry

Each block below is one kind of artifact we hold for OpenLLMetry. For each we say what it is and why it earns a place in the profile, then list every one we've indexed — capped at two rows, scroll within the panel for the rest.

APIs 6

Each API is captured as its own OpenAPI definition — every operation, parameter, and response. This is the single most useful machine-readable description of what an API does, and it's what lets us score, lint, mock, and generate against it without asking the provider for anything.

Individual APIs this provider publishes, each with its own machine-readable definition.

OpenLLMetry Traceloop SDK

The Traceloop SDK is the developer-facing entry point for OpenLLMetry. A single Traceloop.init() call configures OpenTelemetry, registers all available LLM/vector-DB/framework i...

OpenLLMetry Semantic Conventions for AI

A vocabulary of span attribute names for GenAI workloads — gen_ai.system, gen_ai.request.model, gen_ai.response.model, gen_ai.usage.input_tokens, gen_ai.usage.output_tokens, llm...

OpenLLMetry LLM Provider Instrumentations

Drop-in OpenTelemetry instrumentations for the major LLM providers including OpenAI, Anthropic, AWS Bedrock, Google Generative AI / Vertex AI, Cohere, Mistral AI, Ollama, Groq, ...

OpenLLMetry Vector Database Instrumentations

Instrumentations for vector databases used in retrieval-augmented generation pipelines — Chroma, Pinecone, Qdrant, Weaviate, LanceDB, Milvus, and Marqo. Captures query, upsert, ...

OpenLLMetry Framework and Agent Instrumentations

Instrumentations for higher-level LLM frameworks and agent runtimes — LangChain, LlamaIndex, Haystack, CrewAI, Agno, OpenAI Agents, and Model Context Protocol (MCP). Captures ch...

OpenLLMetry OTLP Exporters

OpenLLMetry emits standard OpenTelemetry traces and metrics over OTLP (gRPC or HTTP), so any OpenTelemetry-compatible backend can receive its telemetry. Supported destinations i...

Security Posture 1

Authentication, domain security, vulnerability disclosure, and trust-center signals — the evidence that a provider takes security seriously enough to document it. We profile it because you can't govern what you can't see.

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Openllmetry Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Every other property we hold for OpenLLMetry — documentation, portals, status pages, policies, and corporate surface — grouped by the job it does, following the integrator's arc from getting started to running in production.

← All providers · Data indexed from github.com/api-evangelist/openllmetry · machine-readable index on apis.io