Comet

Comet is the company behind Opik, an end to end AI observability platform. The problem it targets is the black box nature of LLM applications: you cannot fix what you cannot see. Opik logs every step of an agent's execution as traces, so you can follow exactly what happened and where it went wrong. Individual traces can be annotated to mark what worked and what did not, and large batches can be scored automatically against around 30 LLM based evaluation metrics covering relevance, context accuracy and hallucination detection. A built in coding agent analyses traces and test results, then writes proposed fixes into your agent code. Monitoring extends into production, including cost tracking. It is open source and offers a free trial.

- Trace every step of an agent run end to end.

- Annotate and debug individual runs with your team.

- Score large batches against built in evaluation metrics.

- Track token spend and model costs in production.

- AI developers building and debugging agent applications.

- Engineering teams that need to control LLM spend.

- Data scientists evaluating model output quality.

This is a developer tool that needs code integration, so it is not something you can evaluate without touching your codebase. Trace volume grows quickly in real applications, and storage and query costs need planning. Automated metric scores are a guide rather than a verdict, and important decisions still need human review. The free trial and the enterprise features around hosting and security are current terms and can change. For team use, agree on naming and editing conventions in advance to avoid version conflicts or duplicated work.