Opik
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehe
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Opik
Open-source AI Observability, Evaluation, and Optimization
Opik helps you build, test, and optimize generative AI application that run better, from prototype to production. From RAG chatbots to code assistants to complex agentic systems, Opik provides comprehensive tracing, evaluation, and automatic prompt and tool optimization to take the guesswork out of AI development.
](https://pypi.org/project/opik/) [ [](https://github.com/comet-ml/opik/actions/workflows/build_apps.yml)
Website • Slack Community • Twitter • Changelog • Documentation
🚀 What is Opik? • 🛠️ Opik Server Installation • 💻 Opik Client SDK • 📝 Logging Traces 🧑⚖️ LLM as a Judge • 🔍 Evaluating your Application • ⭐ Star Us • 🤝 Contributing
[](https://www.comet.com/signup?from=llm&utm_source=opik&utm_medium=github&utm_content=readme_banner&utm_campaign=opik)
🚀 What is Opik?
Opik (built by Comet) is an open-source platform designed to streamline the entire lifecycle of LLM applications. It empowers developers to evaluate, test, monitor, and optimize their models and agentic systems. Key offerings include:
- Comprehensive Observability: Deep tracing of LLM calls, conversation logging, and agent activity.
- Advanced Evaluation: Robust prompt evaluation, LLM-as-a-judge, and experiment management.
- Production-Ready: Scalable monitoring dashboards and online evaluation rules for production.
- Opik Agent Optimizer: Dedicated SDK and set of optimizers to enhance prompts and agents.
- Opik Guardrails: Features to help you implement safe and responsible AI practices.
Key capabilities include:
Don't lose this
Three weeks from now, you'll want Opik again. Will you remember where to find it?
Save it to your library and the next time you need Opik, it’s one tap away — from any AI app you use. Group it into a bench with the rest of the team for that kind of task and you can pull the whole stack at once.
⚡ Pro tip for geeks: add a-gnt 🤵🏻♂️ as a custom connector in Claude or a custom GPT in ChatGPT — one click and your library is right there in the chat. Or, if you’re in an editor, install the a-gnt MCP server and say “use my [bench name]” in Claude Code, Cursor, VS Code, or Windsurf.
a-gnt's Take
Our honest review
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehe. Best for anyone looking to make their AI assistant more capable in devops & monitoring. It's completely free and works across most major AI apps. This one just landed in the catalog — worth trying while it's fresh.
Tips for getting started
Tap "Get" above, pick your AI app, and follow the steps. Most installs take under 30 seconds.
Heads up: this needs an API key to work. You'll get one from the service's website (usually free). The setup guide tells you exactly where.
What's New
Imported from GitHub
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