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Opik
NewVerified
Monitor and evaluate LLM applications with tracing and testing.
Overview
Opik is an open-source platform for observability and evaluation of LLM applications. It helps teams trace model calls, debug issues, and run evaluations to improve application quality. Built for developers working with production language models who need visibility into model behavior and performance metrics.
Pros
- Open-source with self-hosting options for privacy
- Comprehensive tracing to debug LLM chains and workflows
- Built-in evaluation framework with customizable metrics
- Integrates with popular frameworks like LangChain and LlamaIndex
- Real-time monitoring dashboard for production applications
✕ Cons
- Smaller community compared to enterprise alternatives
- Self-hosting requires infrastructure management expertise
- Learning curve for complex evaluation configurations
Key Features
LLM call tracing and logging
Evaluation framework with metrics
Production monitoring dashboard
Feedback collection and logging
Experiment tracking and comparison
API for programmatic access
Use Cases
Engineering teams debugging production LLM applicationsData scientists evaluating model performance iterativelyTeams comparing LLM providers and model versionsOrganizations implementing LLM quality assurance workflows
Best For
ML Engineers & MLOps TeamsLLM Application DevelopersData Science TeamsAI Product ManagersQuality Assurance Engineers
Frequently Asked Questions
What is the pricing model for Opik?▾
Opik offers both open-source and commercial versions. The open-source version is free to self-host, while commercial pricing depends on your usage scale and production monitoring needs—contact their sales team for specific quotes.
How steep is the learning curve for setting up Opik?▾
Opik is designed for technical teams with Python/ML experience. Setup involves integrating the SDK into your codebase and configuring evaluation metrics, which typically takes a few hours for basic use cases but varies based on your infrastructure complexity.
Does Opik integrate with other MLOps tools and APIs?▾
Opik provides Python SDK and REST APIs for integration with popular frameworks and LLM platforms. It works well in ecosystems where you're already using tools like Langchain, OpenAI APIs, or custom inference pipelines.
What are the main limitations of Opik?▾
Opik is best suited for teams with solid ML infrastructure knowledge; it's not a no-code solution. Coverage may be limited for non-standard or proprietary LLM architectures, and real-time monitoring at scale can require careful resource planning.
What is the ideal use case for Opik?▾
Opik is ideal for teams building production LLM applications who need to evaluate model outputs, track performance from development through production, and calibrate quality before deployment without sacrificing observability.
Pricing Plans
Free
Custom
- Up to 10,000 traces per month
- Basic debugging and monitoring
- Community support
- Single workspace
ProMost Popular
$99/monthly
- Up to 1 million traces per month
- Advanced analytics and insights
- Priority email support
- Multiple workspaces
Business
$499/monthly
- Up to 10 million traces per month
- Custom integrations and API access
- Dedicated support
- Unlimited workspaces
Enterprise
Custom
- Unlimited traces and custom volume
- On-premise or hybrid deployment options
- 24/7 dedicated support and SLA
- Custom retention and compliance
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