Opik
Open-source platform for AI observability, evaluation, and optimization. Trace LLM calls, run experiments, monitor production, and optimize prompts with built-in guardrails.
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Open-source AI observability, evaluation & optimization platform for LLM apps.
Core Features
- Full tracing of LLM calls, conversations, and agent actions with Python SDK and UI feedback annotation
- LLM-as-a-judge metrics (hallucination, moderation, RAG), dataset management, and experiment comparison
- Agent Optimizer SDK auto-tunes prompts and tool calls
- Production monitoring dashboard with online evaluation rules, scales to 40M+ traces/day
- Self-hostable or cloud, native integrations with LangChain, OpenAI, Google ADK, Autogen, Flowise AI, and more
What It Can't Do
- •1) Requires Python 3.9+; 2) Cloud version needs Comet account; 3) Self-hosting requires Docker and sufficient resources; 4) Free tier has trace limits, evaluate paid plans for production use.
Use Cases
- Build and debug RAG chatbots, code assistants, and complex agentic systems
- Automate evaluation in CI/CD pipelines to prevent regressions
- Monitor production LLM apps with real-time alerts and automatic optimization
Opik is an open-source platform by Comet that helps you build, test, and optimize generative AI applications from prototype to production. It provides comprehensive tracing of LLM calls, conversation logging, and agent activity. You can evaluate models using automated metrics like LLM-as-a-judge, manage datasets and experiments, and monitor production with online evaluation rules. Opik also includes an Agent Optimizer SDK to automatically improve prompts and tools, and Guardrails for safe AI practices. It integrates natively with popular frameworks (LangChain, OpenAI, Google ADK, Autogen, Flowise AI, etc.) and can be self-hosted or used via the Comet cloud. With a modern UI, it scales to 40M+ traces per day, making it suitable for teams of any size.
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Getting Started
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Step 1: Install Python SDK: pip install opik
Step 2: Configure API key (Comet cloud or self-hosted server) per documentation
Step 3: Decorate your functions with @tracked and run evaluations with built-in metrics
- Step 1: Install Python SDK: pip install opik
- Step 2: Configure API key (Comet cloud or self-hosted server) per documentation
- Step 3: Decorate your functions with @tracked and run evaluations with built-in metrics
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Uninstall Python SDK: pip uninstall opik. For self-hosted server, stop Docker containers and remove volumes.
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