# OpenLLMetry

**Canonical:** https://apis.io/providers/openllmetry/  
**Website:** https://www.traceloop.com/openllmetry  
**APIs profiled:** 6

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 — 10.5 / 100 (minimal)

Scored 2026-08-25 under rubric 0.14.0. Trend: flat (+0.0 from 10.5).

| Facet | Score |
|---|---|
| Discoverability | 64.8 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 5.3 |
| Developer Ergonomics | 16.7 |
| Commercial Clarity | 0.0 |
| Access Clarity | 0.0 |

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |
| Delegated Identity | no |
| Protected Resource Metadata | no |
| Dynamic Client Registration | no |
| Agentic Commerce | no |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## APIs (6)

- **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 (1)

- **Openllmetry Domain Security** — TLSv1.3 · HSTS · DMARC

## Tags

Artificial Intelligence, LLM, Observability, Open-Source, OpenTelemetry, Tracing, GenAI

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/openllmetry/). Scores are computed from the provider's own public artifacts under a published rubric.