Comet - The AI Developer Platform

# Opik Documentation ## Docs - [Home](https://www.comet.com/docs/opik.mdx): Build, test, and optimize GenAI apps from prototype to production. Comprehensive tracing, evaluation, and prompt optimization for RAG, agents, and more. - [Quickstart](https://www.comet.com/docs/opik/quickstart.mdx): Integrate Opik with your LLM application to log calls and chains efficiently. Get started with our step-by-step guide. - [Quickstart notebook](https://www.comet.com/docs/opik/quickstart_notebook.mdx): Learn to automate LLM workflow evaluation and track calls with Opik using Chain of Density Summarization for Arxiv papers. - [Roadmap](https://www.comet.com/docs/opik/roadmap.mdx): Explore Opik's evolving roadmap and contribute ideas to enhance our open-source project as we develop new features and improve functionality. - [FAQ](https://www.comet.com/docs/opik/faq.mdx): Explore common questions about Opik, learn how to get started, and find assistance to enhance your experience with our powerful tool. - [Tracing Core Concepts](https://www.comet.com/docs/opik/tracing/concepts.mdx): Learn about the core concepts of Opik's tracing system, including traces, spans, threads, and how they work together to provide comprehensive observability for your LLM applications. - [Log traces](https://www.comet.com/docs/opik/tracing/log_traces.mdx): Monitor the flow of your LLM applications with tracing to identify issues and optimize performance using Opik's powerful tools. - [Log conversations](https://www.comet.com/docs/opik/tracing/log_chat_conversations.mdx): Capture and analyze chat conversations on Opik, enabling better tracking of user interactions and improving chatbot performance. - [Log user feedback](https://www.comet.com/docs/opik/tracing/annotate_traces.mdx): Capture user feedback and track performance metrics to enhance your agent's effectiveness with Opik's logging capabilities. - [Log media & attachments](https://www.comet.com/docs/opik/tracing/log_multimodal_traces.mdx): Capture m