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.

OpenLLMetry publishes 6 APIs on the APIs.io network. Tagged areas include Artificial Intelligence, LLM, Observability, Open-Source, and OpenTelemetry.

OpenLLMetry’s developer surface includes documentation, engineering blog, getting-started guide, and 13 more developer resources.

🌐 Visit website 📡 Source on GitHub

17.2/100 emerging ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-09-14 · rubric v0.22.0

6 APIs

Artificial Intelligence LLM Observability Open-Source OpenTelemetry Tracing GenAI

Kin Score

Kin Score How this is scored →
scored 2026-09-14 · rubric v0.22.0

Composite quality — 17.2/100 · emerging

Contract Quality 0.0 / 25

Developer Ergonomics 6.7 / 20

Access Clarity 0.0 / 20

Operational Transparency 4.1 / 13

Contract Governance 0.0 / 12

Discoverability 6.5 / 10

Agent readiness — 0/100 · human only

Machine-Readable Contract 0 / 18

Agentic Access Contract 0 / 10

Documented Reversibility 0 / 6

MCP Server 0 / 12

Machine-Readable Auth 0 / 10

Idempotency 0 / 9

Stable Error Semantics 0 / 8

Request/Response Examples 0 / 7

Rate-Limit Signaling 0 / 7

Typed Event Surface 0 / 6

Agent Skills 0 / 5

Well-Known Catalog 0 / 4

Consent & Bot Identity 0 / 3

A2A Agent Card 0 / 8

Dry-Run / Simulate Mode 0 / 4

Delegated User Identity 0 / 6

Protected Resource Metadata 0 / 5

Registration Without a Human 0 / 6

Agentic Commerce Well-Known Document 0 / 5

Create-or-Update Ergonomics could not be measured. We hold no machine-readable contract for this provider to read, so there is nothing to measure a write surface against. Excluded rather than scored zero: never-measured and measured-empty are different facts. Publishing an OpenAPI is what makes this facet — and several others — scorable at all.

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APIs 6

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.

Openllmetry Domain Security

TLSv1.3 · HSTS · DMARC

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

GettingStarted

GettingStarted

Documentation 2

Reference material describing how the API behaves

ContributionGuide

ContributionGuide

Documentation

Documentation

Design & Contract 1

Pagination, idempotency, versioning, errors, and events

SemanticConventions

SemanticConventions

Build 3

SDKs, sample code, and the tooling you integrate with

CodeOfConduct

CodeOfConduct

GitHubRepository

GitHubRepository

GitHubRepository

GitHubRepository

Access & Security 2

Authentication, authorization, and security posture

SecurityPolicy

SecurityPolicy

DomainSecurity

DomainSecurity

Operate 3

Status, limits, changes, and where to get help

IssueTracker

IssueTracker

Releases

Releases

Discord

Discord

Commercial 1

Pricing, plans, and the legal terms of use

License

License

Company 2

The organization behind the API

Website

Website

Blog

Blog

Other 1

Properties that don't map to a standard resource type

Maintainer

Maintainer

Source (apis.yml)

aid: openllmetry
url: https://raw.githubusercontent.com/api-evangelist/openllmetry/refs/heads/main/apis.yml
name: OpenLLMetry
kind: opensource
description: 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.
deliveryModel:
  model: unknown
  open_source: unknown
  commercial: false
  callable_host: false
  label: Delivery model not determined — needs a product licence on record
  confidence: low
  source:
  - repository-unlicensed
  generated: '2026-08-28'
  method: derived
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/icons/openllmetry.png
tags:
- Artificial Intelligence
- LLM
- Observability
- Open-Source
- OpenTelemetry
- Tracing
- GenAI
tags_raw:
- AI
- LLM
- Observability
- Open Source
- OpenTelemetry
- Tracing
- GenAI
created: '2026-05-25'
modified: '2026-05-25'
specificationVersion: '0.23'
apis:
- aid: openllmetry:openllmetry-traceloop-sdk
  name: OpenLLMetry Traceloop SDK
  tags:
  - SDK
  - Instrumentation
  - Tracing
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://www.traceloop.com/docs/openllmetry/introduction
  properties:
  - url: https://www.traceloop.com/docs/openllmetry/introduction
    type: Documentation
  - url: https://github.com/traceloop/openllmetry
    type: GitHubRepository
  - url: https://pypi.org/project/traceloop-sdk/
    type: SDKs
  - url: https://www.npmjs.com/package/@traceloop/node-server-sdk
    type: SDKs
  - url: https://www.traceloop.com/docs/openllmetry/getting-started-python
    type: GettingStarted
  - url: https://www.traceloop.com/docs/openllmetry/getting-started-nextjs
    type: GettingStarted
  - url: https://www.traceloop.com/docs/openllmetry/getting-started-go
    type: GettingStarted
  - url: https://www.traceloop.com/docs/openllmetry/getting-started-ruby
    type: GettingStarted
  description: 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 instrumentations, and starts exporting GenAI traces to
    any OTLP endpoint. Provides @workflow, @task, @agent, and @tool decorators (and TypeScript equivalents) for higher-level
    tracing primitives, plus controls for prompt redaction, multi-modality content, user feedback, sessions, and prompt versioning.
- aid: openllmetry:openllmetry-semantic-conventions-ai
  name: OpenLLMetry Semantic Conventions for AI
  tags:
  - Semantic Conventions
  - OpenTelemetry
  - GenAI
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://opentelemetry.io/docs/specs/semconv/gen-ai/
  properties:
  - url: https://opentelemetry.io/docs/specs/semconv/gen-ai/
    type: Documentation
  - url: https://github.com/traceloop/openllmetry/tree/main/packages/opentelemetry-semantic-conventions-ai
    type: GitHubRepository
  - url: https://pypi.org/project/opentelemetry-semantic-conventions-ai/
    type: SDKs
  description: 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.prompts, llm.completions, traceloop.workflow.name, traceloop.entity.name,
    and others. Originated in OpenLLMetry and has been upstreamed into the OpenTelemetry GenAI semantic conventions, giving
    cross-vendor observability backends a shared schema for LLM telemetry.
- aid: openllmetry:openllmetry-llm-instrumentations
  name: OpenLLMetry LLM Provider Instrumentations
  tags:
  - Instrumentation
  - LLM Providers
  - Tracing
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://www.traceloop.com/docs/openllmetry/integrations/exporters
  properties:
  - url: https://www.traceloop.com/docs/openllmetry/integrations/exporters
    type: Documentation
  - url: https://github.com/traceloop/openllmetry/tree/main/packages
    type: GitHubRepository
  - url: https://pypi.org/project/opentelemetry-instrumentation-openai/
    type: SDKs
  - url: https://pypi.org/project/opentelemetry-instrumentation-anthropic/
    type: SDKs
  - url: https://pypi.org/project/opentelemetry-instrumentation-bedrock/
    type: SDKs
  - url: https://pypi.org/project/opentelemetry-instrumentation-google-generativeai/
    type: SDKs
  - url: https://pypi.org/project/opentelemetry-instrumentation-cohere/
    type: SDKs
  - url: https://pypi.org/project/opentelemetry-instrumentation-mistralai/
    type: SDKs
  - url: https://pypi.org/project/opentelemetry-instrumentation-ollama/
    type: SDKs
  - url: https://pypi.org/project/opentelemetry-instrumentation-groq/
    type: SDKs
  - url: https://pypi.org/project/opentelemetry-instrumentation-together/
    type: SDKs
  - url: https://pypi.org/project/opentelemetry-instrumentation-replicate/
    type: SDKs
  - url: https://pypi.org/project/opentelemetry-instrumentation-vertexai/
    type: SDKs
  - url: https://pypi.org/project/opentelemetry-instrumentation-sagemaker/
    type: SDKs
  - url: https://pypi.org/project/opentelemetry-instrumentation-watsonx/
    type: SDKs
  - url: https://pypi.org/project/opentelemetry-instrumentation-alephalpha/
    type: SDKs
  - url: https://pypi.org/project/opentelemetry-instrumentation-transformers/
    type: SDKs
  - url: https://pypi.org/project/opentelemetry-instrumentation-voyageai/
    type: SDKs
  - url: https://pypi.org/project/opentelemetry-instrumentation-writer/
    type: SDKs
  description: Drop-in OpenTelemetry instrumentations for the major LLM providers including OpenAI, Anthropic, AWS Bedrock,
    Google Generative AI / Vertex AI, Cohere, Mistral AI, Ollama, Groq, Together AI, Replicate, SageMaker, Watsonx, Aleph
    Alpha, HuggingFace Transformers, Voyage AI, and Writer. Each package monkey-patches the provider SDK to emit standardized
    gen_ai.* spans without code changes.
- aid: openllmetry:openllmetry-vector-db-instrumentations
  name: OpenLLMetry Vector Database Instrumentations
  tags:
  - Instrumentation
  - Vector Databases
  - RAG
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://www.traceloop.com/docs/openllmetry/tracing/decorators
  properties:
  - url: https://www.traceloop.com/docs/openllmetry/tracing/decorators
    type: Documentation
  - url: https://github.com/traceloop/openllmetry/tree/main/packages
    type: GitHubRepository
  - url: https://pypi.org/project/opentelemetry-instrumentation-chromadb/
    type: SDKs
  - url: https://pypi.org/project/opentelemetry-instrumentation-pinecone/
    type: SDKs
  - url: https://pypi.org/project/opentelemetry-instrumentation-qdrant/
    type: SDKs
  - url: https://pypi.org/project/opentelemetry-instrumentation-weaviate/
    type: SDKs
  - url: https://pypi.org/project/opentelemetry-instrumentation-lancedb/
    type: SDKs
  - url: https://pypi.org/project/opentelemetry-instrumentation-milvus/
    type: SDKs
  - url: https://pypi.org/project/opentelemetry-instrumentation-marqo/
    type: SDKs
  description: Instrumentations for vector databases used in retrieval-augmented generation pipelines — Chroma, Pinecone,
    Qdrant, Weaviate, LanceDB, Milvus, and Marqo. Captures query, upsert, and similarity- search operations with vector-DB-specific
    attributes so RAG retrievals can be correlated with the LLM calls that consumed them.
- aid: openllmetry:openllmetry-framework-instrumentations
  name: OpenLLMetry Framework and Agent Instrumentations
  tags:
  - Instrumentation
  - Frameworks
  - Agents
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://www.traceloop.com/docs/openllmetry/integrations
  properties:
  - url: https://www.traceloop.com/docs/openllmetry/integrations
    type: Documentation
  - url: https://github.com/traceloop/openllmetry/tree/main/packages
    type: GitHubRepository
  - url: https://pypi.org/project/opentelemetry-instrumentation-langchain/
    type: SDKs
  - url: https://pypi.org/project/opentelemetry-instrumentation-llamaindex/
    type: SDKs
  - url: https://pypi.org/project/opentelemetry-instrumentation-haystack/
    type: SDKs
  - url: https://pypi.org/project/opentelemetry-instrumentation-crewai/
    type: SDKs
  - url: https://pypi.org/project/opentelemetry-instrumentation-agno/
    type: SDKs
  - url: https://pypi.org/project/opentelemetry-instrumentation-openai-agents/
    type: SDKs
  - url: https://pypi.org/project/opentelemetry-instrumentation-mcp/
    type: SDKs
  description: Instrumentations for higher-level LLM frameworks and agent runtimes — LangChain, LlamaIndex, Haystack, CrewAI,
    Agno, OpenAI Agents, and Model Context Protocol (MCP). Captures chain, retriever, agent, and tool spans alongside the
    underlying LLM and vector-DB calls so multi-step workflows can be debugged end-to-end.
- aid: openllmetry:openllmetry-otlp-exporters
  name: OpenLLMetry OTLP Exporters
  tags:
  - Exporters
  - OTLP
  - OpenTelemetry
  image: https://kinlane-images.s3.amazonaws.com/shared/apis-json/apis-json-logo.jpg
  humanURL: https://www.traceloop.com/docs/openllmetry/integrations/exporters
  properties:
  - url: https://www.traceloop.com/docs/openllmetry/integrations/exporters
    type: Documentation
  - url: https://www.traceloop.com/docs/openllmetry/integrations/datadog
    type: Integrations
  - url: https://www.traceloop.com/docs/openllmetry/integrations/grafana
    type: Integrations
  - url: https://www.traceloop.com/docs/openllmetry/integrations/honeycomb
    type: Integrations
  - url: https://www.traceloop.com/docs/openllmetry/integrations/newrelic
    type: Integrations
  - url: https://www.traceloop.com/docs/openllmetry/integrations/splunk
    type: Integrations
  - url: https://www.traceloop.com/docs/openllmetry/integrations/azureappinsights
    type: Integrations
  - url: https://www.traceloop.com/docs/openllmetry/integrations/gcp
    type: Integrations
  - url: https://www.traceloop.com/docs/openllmetry/integrations/langfuse
    type: Integrations
  - url: https://www.traceloop.com/docs/openllmetry/integrations/langsmith
    type: Integrations
  - url: https://www.traceloop.com/docs/openllmetry/integrations/braintrust
    type: Integrations
  description: OpenLLMetry emits standard OpenTelemetry traces and metrics over OTLP (gRPC or HTTP), so any OpenTelemetry-compatible
    backend can receive its telemetry. Supported destinations include Datadog, Grafana Tempo/Loki, Honeycomb, New Relic, Splunk,
    Dynatrace, Instana, Azure Application Insights, Google Cloud Trace, OCI APM, Highlight, Traceloop, Langfuse, LangSmith,
    and Braintrust, as well as self-hosted OpenTelemetry Collectors.
common:
- type: IssueTracker
  url: https://github.com/traceloop/openllmetry/issues
- type: Releases
  url: https://github.com/traceloop/openllmetry/releases
- type: SecurityPolicy
  url: https://github.com/traceloop/openllmetry/blob/main/SECURITY.md
- type: CodeOfConduct
  url: https://github.com/traceloop/openllmetry/blob/main/CODE_OF_CONDUCT.md
- type: ContributionGuide
  url: https://github.com/traceloop/openllmetry/blob/main/CONTRIBUTING.md
- type: DomainSecurity
  url: security/openllmetry-domain-security.yml
- type: Website
  url: https://www.traceloop.com/openllmetry
- type: Documentation
  url: https://www.traceloop.com/docs/openllmetry/introduction
- type: GitHubRepository
  url: https://github.com/traceloop/openllmetry
- type: GitHubRepository
  url: https://github.com/traceloop/openllmetry-js
- type: License
  url: https://github.com/traceloop/openllmetry/blob/main/LICENSE
- type: Maintainer
  url: https://www.traceloop.com/
- type: Discord
  url: https://traceloop.com/slack
- type: Blog
  url: https://www.traceloop.com/blog
- type: GettingStarted
  url: https://www.traceloop.com/docs/openllmetry/quick-start/python
- type: Integrations
  url: https://www.traceloop.com/docs/openllmetry/integrations
- type: SemanticConventions
  url: https://opentelemetry.io/docs/specs/semconv/gen-ai/
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
include: []
x-parent: traceloop
x-relationship: product

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