Opik is an observability and evaluation platform for large language model applications that provides tracing, automated evaluations, and production dashboards.
The tool addresses the challenge of understanding and improving LLM application behavior in development and production. It captures detailed traces of LLM interactions, enabling developers to see exactly what their models are doing at each step. The platform includes automated evaluation capabilities to assess application quality systematically, and provides dashboards designed for production monitoring. This approach lets teams debug issues, measure performance, and track changes over time without extensive custom instrumentation.
Opik suits teams building RAG systems, agentic workflows, or other LLM applications who need visibility into model behavior and want to move beyond ad-hoc testing. It integrates with popular frameworks like LangChain and Llama Index, reducing setup friction for projects already using those tools. The project is open source, making it accessible for teams evaluating observability solutions before committing to commercial platforms.
The project maintains active development with regular commits across multiple areas of the codebase. Pull requests receive timely review and feedback from maintainers. The team responds to issues and incorporates user suggestions into the roadmap. Documentation is kept current alongside feature development. Community contributions are welcomed and processed consistently.
