openllmetry: an open-source observability framework for LLM applications based on OpenTelemetry

What it solves

OpenLLMetry provides open-source observability for LLM applications. It solves the problem of tracking and monitoring the complex interactions within AI apps, allowing developers to see exactly what is happening inside their LLM calls, vector database queries, and framework orchestrations.

How it works

Built on top of OpenTelemetry, OpenLLMetry provides a set of extensions and a dedicated SDK that instrument your code. By adding a few lines of initialization, it automatically captures traces from LLM providers (like OpenAI and Anthropic), vector databases (like Pinecone and Chroma), and AI frameworks (like LangChain and LlamaIndex). Because it follows OpenTelemetry standards, the captured data can be exported to a wide variety of existing observability backends such as Datadog, Honeycomb, and Grafana.

Who it’s for

Developers building LLM-powered applications who need to debug, monitor, and optimize their AI workflows without being locked into a proprietary observability tool.

Highlights

• OpenTelemetry Native: Uses standard OpenTelemetry data, ensuring compatibility with any OTEL-compliant backend.
• Broad Integration Support: Instruments a vast array of LLM providers, vector databases, and AI frameworks.
• Hassle-Free Setup: Offers a SDK that allows for near-instant instrumentation with a single Traceloop.init() call.
• Extensible: Can be used as a full SDK or as standalone instrumentations for those who already have an OpenTelemetry setup.