OpenLLMetry contains a telemetry feature that collects anonymous usage information.
Not to be confused with OpenTelemetry. Telemetry refers to anonymous product usage statistics we collect. It is a completely different stream of data, and is not related to OpenTelemetry, traces, or instrumentations.

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Why?

We use this information to help us understand how OpenLLMetry is used, to help us prioritize work on new features and bug fixes, and to help us improve OpenLLMetry’s performance and stability.

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Opting out

If you prefer to opt out of telemetry, you can do this by setting the TRACELOOP_TELEMETRY environment variable to FALSE, or passing telemetry_enabled=False to the Traceloop.init() function in Python.

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What do you track?

We will only track usage details that help us make product decisions, specifically:
  • OpenLLMetry version
  • Tracing endpoint type (e.g. Honeycomb, Datadog, Traceloop, etc.)
  • Types of instrumentations that were initialized
  • Usage of prompt rendering (without logging any details about the prompt, variables, or values)
We do not collect personally-identifiable or sensitive information, such as: API keys, prompts, completions, embeddings, or spans and traces. To view the list of events we track, you may reference the code.

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Where is telemetry information stored?

We use Posthog to store and visualize telemetry data.
Posthog is an open source platform for product analytics. Learn more about Posthog on posthog.com or github.com/posthog.