Opik is a production-ready evaluation and observability platform for teams building with large language models. Instead of relying on ad‑hoc scripts and manual spot checks, Opik centralizes how you test, compare, and monitor LLM-powered
across the entire development lifecycle. Connect any model provider, log prompts and responses in one place, and generate rich traces for every workflow so you can understand how your application behaves in real time. With Opik, you can define custom evaluation metrics, run systematic experiments, and A/B test prompts, models, or configurations before shipping to production. Built-in dashboards make it easy to detect regressions, drift, and failures, while granular filters help you quickly identify problematic inputs and edge cases. Opik also supports human-in-the-loop review so domain experts can score or annotate outputs directly from the UI. Designed for developers, ML engineers, and product teams, Opik integrates into your existing stack with SDKs and APIs, works alongside your CI/CD pipeline, and scales from small prototypes to production workloads. Whether you’re shipping chatbots, copilots, RAG systems, or complex multi-step agents, Opik gives you the observability and control you need to iterate safely, reduce unexpected behavior, and deliver higher-quality LLM applications, faster.
Continuously evaluate and monitor a customer support chatbot to detect hallucinations, toxic responses, or performance regressions after each model or prompt update.
Run controlled A/B tests on different prompts and models powering an AI coding assistant to optimize for correctness, latency, and developer satisfaction.
Instrument a RAG-based knowledge assistant with detailed traces and evaluations to quickly debug retrieval issues and monitor quality across changing document sets.
Set up human review workflows for critical decision-support tools where domain experts must validate or override LLM outputs before they are applied.
Integrate Opik into your CI/CD pipeline to automatically run regression suites on LLM workflows before every release and block deployments on quality failures.