For AI agents: a documentation index is available at the root level at /llms.txt and /llms-full.txt. Append /llms.txt to any URL for a page-level index, or .md for the markdown version of any page.
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DocumentationIntegrationsAgent OptimizationSelf-hosting OpikSDK & API referenceOpik University
DocumentationIntegrationsAgent OptimizationSelf-hosting OpikSDK & API referenceOpik University
    • Overview
  • Intro
    • Opik Overview
    • Next steps / Set expectations
  • Observability
    • Log Traces
    • Annotate Traces
  • Evaluation
    • Evaluation Concepts and Overview
    • Create Evaluation Datasets
    • Define Evaluation Metrics
    • Evaluate your LLM Application
    • No-code LLM Evaluation Workflow
  • Prompt Engineering
    • Prompt Management
    • Prompt Playground
  • Testing
    • PyTest Integration
  • Production Monitoring
    • Online Evaluation Rules
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On this page
  • What is Opik?
  • Key Highlights
Intro

Opik Overview

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What is Opik?

Opik is Comet’s comprehensive platform for LLM observability, evaluation, and monitoring, designed to support you across the entire LLM lifecycle from development to production. This video provides a complete overview of Opik’s core capabilities and shows how it can transform your approach to building and maintaining LLM applications.

Key Highlights

  • Complete LLM Lifecycle Support: From initial development through production deployment and monitoring
  • Centralized Tracing: Track all interactions with your LLM applications in one location, making it easy to identify issues and debug complex chains
  • Automated Evaluation: Replace ad-hoc “vibe checks” with consistent, reproducible evaluations using standardized datasets and metrics
  • Production Monitoring: Deploy with confidence using testing and monitoring tools that track performance in real-time
  • Open Source + Enterprise: Get the flexibility of open source with the security, scalability, and support of an enterprise solution
  • Rich Integration Ecosystem: Works seamlessly with popular frameworks like OpenAI, Azure, and many others
  • Comprehensive Documentation: Extensive docs with quickstart guides, integrations, and hands-on Jupyter notebook cookbooks that run directly in Google Colab