Opik

Opik is an open-source platform for debugging, evaluating, and monitoring LLM applications, including RAG systems and agentic workflows. It provides end-to-end tracing, evaluation tooling, and dashboards to help teams improve quality from prototype to production.

Key Features

• End-to-end tracing of LLM calls, spans, conversations, and agent activity
• Evaluation workflows with datasets, experiments, and LLM-as-a-judge style metrics
• Prompt playground for comparing prompts and model outputs
• Production monitoring dashboards for feedback, usage, and performance trends
• Online evaluation rules to detect issues in production
• Guardrails capabilities to screen inputs/outputs and support safer AI behavior
• SDKs and API for integrating tracing and evaluations into applications and pipelines

Use Cases

• Debugging and optimizing RAG chatbots by tracing retrieval and generation steps
• Regression testing LLM pipelines in CI using automated evaluation suites
• Monitoring production LLM applications for quality, safety, and cost signals over time

Limitations and Considerations

• Some advanced workflows (high-volume tracing, rules, guardrails) can require careful capacity planning and operational setup in production

Opik fits teams that need practical LLM observability plus repeatable evaluation to ship changes with confidence. It is suitable for both experimentation and production monitoring when paired with appropriate infrastructure and governance.