Opik
Open-source LLM evaluation, tracing, and monitoring platform
Founded
2024
Starting Price
0
Category
Developer Tools
Last updated March 11, 2026
About Opik
Opik by Comet is an open-source platform for debugging, evaluating, and monitoring LLM applications, RAG systems, and agentic workflows. It provides comprehensive tracing with cost tracking, built-in evaluation metrics for hallucination and relevance detection, prompt version management, and production-ready dashboards — available as both a self-hosted solution and managed cloud service.
Pros & Cons
Pros
- Fully open-source with the complete feature set available for free self-hosting
- Comprehensive evaluation metrics cover hallucination, relevance, moderation, and custom criteria
- LLM-as-a-Judge enables automated quality evaluation at scale
- Prompt version management brings engineering rigor to prompt development
- Production monitoring dashboards provide real-time visibility into LLM costs and performance
Key Features
LLM Tracing
Deep tracing of LLM calls, conversation flows, and agent activity with cost tracking and latency metrics
Evaluation Metrics
Built-in metrics for hallucination detection, content moderation, answer relevance, and factual accuracy
LLM-as-a-Judge
Use LLMs to automatically evaluate output quality with customizable evaluation criteria and rubrics
Prompt Management
Version control for prompts with A/B testing, comparison tools, and rollback capabilities
Experiment Tracking
Run and compare evaluation experiments across different models, prompts, and configurations
Production Monitoring
Real-time dashboards for monitoring LLM performance, costs, and quality metrics in production
Agent Optimizer SDK
Automated prompt tuning and optimization for improving LLM application performance
Pricing
Free
0/month
- Full feature set
- Self-hosted
- Community support
- Unlimited team members
- Open-source
Best For
LLM Application Development
Debug and iterate on LLM-powered features with comprehensive tracing and evaluation during development
RAG Quality Assurance
Evaluate retrieval-augmented generation pipelines for relevance, accuracy, and hallucination rates
Production LLM Monitoring
Monitor live LLM applications for cost, latency, quality degradation, and content safety in real-time
Prompt Engineering
Manage prompt versions, run A/B tests, and systematically optimize prompts with experiment tracking
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