What it does
Open-source observability for LLM and GenAI applications, built on OpenTelemetry conventions.
Why it belongs here
Useful for teams that already live in telemetry and want token behavior next to the rest of production reality.
Best use case
Engineering organizations that already use OpenTelemetry and want LLM traces inside existing observability workflows.
How to use it
Instrument LLM calls with spans, attributes, costs, and model metadata, then correlate model behavior with service-level events.
Limits
Telemetry can get noisy. Teams need clear naming, sampling, and dashboards that answer real operating questions.
Tags
opentelemetrytracingllmops
