{"repo":"traceloop/openllmetry","free":true,"listed":false,"github":"https://github.com/traceloop/openllmetry","clone":"git clone https://github.com/traceloop/openllmetry.git","description":"Open-source observability for your GenAI or LLM application, based on OpenTelemetry","language":"Python","stars":7378,"topics":["artifical-intelligence","datascience","generative-ai","good-first-issue","good-first-issues","help-wanted","llm","llmops","metrics","ml","model-monitoring","monitoring","observability","open-source","open-telemetry","opentelemetry","opentelemetry-python","python"],"license":"Apache-2.0","category":"observability_tool","readme_excerpt":"
\n\n**๐ New**:\nOur semantic conventions are now part of OpenTelemetry! Join the [discussion](https://github.com/open-telemetry/community/blob/1c71595874e5d125ca92ec3b0e948c4325161c8a/projects/llm-semconv.md) and help us shape the future of LLM observability.\n\nLooking for the JS/TS version? Check out [OpenLLMetry-JS](https://github.com/traceloop/openllmetry-js).\n\nOpenLLMetry is a set of extensions built on top of [OpenTelemetry](https://opentelemetry.io/) that gives you complete observability over your LLM application. Because it uses OpenTelemetry under the hood, [it can be connected to your existing observability solutions](https://www.traceloop.com/docs/openllmetry/integrations/introduction) - Datadog, Honeycomb, and others.\n\nIt's built and maintained by Traceloop under the Apache 2.0 license.\n\nThe repo contains standard OpenTelemetry instrumentations for LLM providers and Vector DBs, as well as a Traceloop SDK that makes it easy to get started with OpenLLMetry, while still outputting standard OpenTelemetry data that can be connected to your observability stack.\nIf you already have OpenTelemetry instrumented, you can just add any of our instrumentations directly.\n\n## ๐ Getting Started\n\nThe easiest way to get started is to use our SDK.\nFor a complete guide, go to our [docs](https://traceloop.com/docs/openllmetry/getting-started-python).\n\nInstall the SDK:\n\n```bash\npip install traceloop-sdk\n```\n\nThen, to start instrumenting your code, just add this line to your code:\n\n```python\nfrom traceloop.sdk import Traceloop\n\nTraceloop.init()\n```\n\nThat's it. You're now tracing your code with OpenLLMetry!\nIf you're running this locally, you may want to disable batch sending, so you can see the traces immediately:\n\n```python\nTraceloop.init(disable_batch=True)\n```\n\n## โซ Supported (and tested) destinations\n\n- โ [Traceloop](https://www.traceloop.com/docs/openllmetry/integrations/traceloop)\n- โ [Axiom](https://www.traceloop.com/docs/openllmetry/integrations/axiom)\n- โ [Azure Application Insights](https://www.traceloop.com/docs/openllmetry/integrations/azure)\n- โ [Braintrust](https://www.traceloop.com/docs/openllmetry/integrations/braintrust)\n- โ [Dash0](https://www.traceloop.com/docs/openllmetry/integrations/dash0)\n- โ [Datadog](https://www.traceloop.com/docs/openllmetry/integrations/datadog)\n- โ [Dynatrace](https://www.traceloop.com/docs/openllmetry/integrations/dynatrace)\n- โ [Google Cloud](https://www.traceloop.com/docs/openllmetry/integrations/gcp)\n- โ [Grafana](https://www.traceloop.com/docs/openllmetry/integrations/grafana)\n- โ [Highlight](https://www.traceloop.com/docs/openllmetry/integrations/highlight)\n- โ [Honeycomb](https://www.traceloop.com/docs/openllmetry/integrations/honeycomb)\n- โ [HyperDX](https://www.traceloop.com/docs/openllmetry/integrations/hyperdx)\n- โ [IBM Instana](https://www.traceloop.com/docs/openllmetry/integrations/instana)\n- โ [KloudMate](https://www.traceloop.com/docs/openllmetry/integrations/kloudmate)\n- โ [Laminar](https://www.traceloop.com/docs/openllmetry/integrations/laminar)\n- โ [New Relic](https://www.traceloop.com/docs/openllmetry/integrations/newrelic)\n- โ [OpenTelemetry Collector](https://www.traceloop.com/docs/openllmetry/integrations/otel-collector)\n- โ [Oracle Cloud](https://www.traceloop.com/docs/openllmetry/integrations/oraclecloud)\n- โ [Scorecard](https://www.traceloop.com/docs/openllmetry/integrations/scorecard)\n- โ [Service Now Cloud Observability](https://www.traceloop.com/docs/openllmetry/integrations/service-now)\n- โ [SigNoz](https://www.traceloop.com/docs/openllmetry/integrations/signoz)\n- โ [Sentry](https://www.traceloop.com/docs/openllmetry/integrations/sentry)\n- โ [Splunk](https://www.traceloop.com/docs/openllmetry/integrations/splunk)\n- โ [Tencent Cloud](https://www.traceloop.com/docs/openllmetry/integrations/tencent)\n\nSee [our docs](https://traceloop.com/docs/openllmetry/integrations/exporting) for instructions on connecting to each one.\n\n## ๐ช What do we instrument?\n\nOpenLLMetry can instrument everything that [OpenTelemetry already instruments](https://github.com/open-telemetry/opentelemetry-python-contrib/tree/main/instrumentation) - so things like your DB, API calls, and more. On top of that, we built a set of custom extensions that instrument things like your calls to OpenAI or Anthropic, or your Vector DB like Chroma, Pinecone, Qdrant or Weaviate.\n\n- โ [Aleph Alpha](https://www.aleph-alpha.com/)\n- โ [Anthropic](https://www.anthropic.com/)\n- โ [Bedrock (AWS)](https://aws.amazon.com/bedrock/)\n- โ [Cohere](https://cohere.com/)\n- โ [Google Generative AI (Gemini)](https://ai.google/)\n- โ [Groq](https://groq.com/)\n- โ [HuggingFace](https://huggingface.co/)\n- โ [IBM Watsonx AI](https://www.ibm.com/watsonx)\n- โ [Mistral AI](https://mistral.ai/)\n- โ [Ollama](https://ollama.com/)\n- โ [OpenAI / Azure OpenAI](https://openai.com/)\n- โ [Replicate](https://replicate.com/)\n- โ [SageMaker (AWS)](https://aws.amazon.com/sagemaker/)\n- โ [Together AI](https://together.xyz/)\n- โ [Vertex AI (GCP)](https://cloud.google.com/vertex-ai)\n- โ [WRITER](https://writer.com/)\n\n### Vector DBs\n\n- โ [Chroma](https://www.trychroma.com/)\n- โ [LanceDB](https://lancedb.com/)\n- โ [Marqo](https://marqo.ai/)\n- โ [Milvus](https://milvus.io/)\n- โ [Pinecone](https://www.pinecone.io/)\n- โ [Qdrant](https://qdrant.tech/)\n- โ [Weaviate](https://weaviate.io/)\n\n### Frameworks\n\n- โ [Agno](https://github.com/agno-agi/agno)\n- โ [AWS Strands](https://strandsagents.com/) (built-in OTEL support)\n- โ [CrewAI](https://docs.crewai.com/introduction)\n- โ [Haystack](https://haystack.deepset.ai/integrations/traceloop)\n- โ [LangChain](https://python.langchain.com/docs/introduction/)\n- โ [Langflow](https://docs.langflow.org/)\n- โ [LangGraph](https://langchain-ai.github.io/langgraph/concepts/why-langgraph/)\n- โ [LiteLLM](https://docs.litellm.ai/docs/observability/opentelemetry_integration)\n- โ [LlamaIndex](https://docs.llamaindex.ai/en/stable/module_guides/observability/observability.html#openllmetry)\n- โ [OpenAI Agents](https://openai.github.io/openai-agents-python/)\n\n### Protocol\n\n- โ [MCP](https://modelcontextprotocol.io/)\n\n## ๐ Telemetry\n\nWe no longer log or collect any telemetry in the SDK or in the instrumentations. Make sure to bump to v0.49.2 and above.\n\n### Why we collect telemetry\n\n- The primary purpose is to detect exceptions within instrumentations. Since LLM providers frequently update their APIs, this helps us quickly identify and fix any breaking changes.\n- We only collect anonymous data, with no personally identifiable information. You can view exactly what data we collect in our [Privacy documentation](https://www.traceloop.com/docs/openllmetry/privacy/telemetry).\n- Telemetry is only collected in the SDK. If you use the instrumentations directly without the SDK, no telemetry is collected.\n\n## ๐ฑ Contributing\n\nWhether big or small, we love contributions โค๏ธ Check out our guide to see how to [get started](https://traceloop.com/docs/openllmetry/contributing/overview).\n\nNot sure where to get started? You can:\n\n- [Book a free pairing session with one of our teammates](mailto:nir@traceloop.com?subject=Pairing%20session&body=I'd%20like%20to%20do%20a%20pairing%20session!)!\n- Join our Slack, and ask us any questions there.\n\n## ๐ Community & Support\n\n- [Slack](https://traceloop.com/slack) (For live discussion with the community and the Traceloop team)\n- [GitHub Discussions](https://github.com/traceloop/openllmetry/discussions) 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