Opik
Debug, evaluate, and monitor your LLM applications, RAG systems, and agentic workflows with comprehensive tracing, automated evaluations, and production-ready dashboards.
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What is Opik?
Opik is an open-source platform built by Comet designed to streamline the entire lifecycle of LLM applications. It empowers developers to evaluate, test, monitor, and optimize their models and agentic systems. The platform provides comprehensive observability with deep tracing of LLM calls, conversation logging, and agent activity, making it ideal for debugging RAG chatbots, code assistants, and complex agentic pipelines.
Key features include comprehensive tracing that tracks all LLM calls with detailed context, advanced evaluation capabilities with robust prompt evaluation and LLM-as-a-judge metrics, production-ready monitoring dashboards that scale to 40M+ traces per day, the Opik Agent Optimizer SDK to enhance prompts and agents, and Opik Guardrails for implementing safe and responsible AI practices. The platform supports datasets and experiments for automated evaluation, online evaluation rules with LLM-as-a-Judge metrics to identify production issues, and a Prompt Playground for experimenting with prompts and models.
Opik is specifically designed for developers building LLM applications, data scientists working on RAG systems, ML engineers managing agentic workflows, and teams needing production monitoring for their AI applications. It supports extensive third-party integrations with 50+ frameworks including LangChain, LlamaIndex, OpenAI, Anthropic, Google ADK, Autogen, CrewAI, Haystack, and Flowise AI natively. The platform is suitable for solo developers, small teams, and large enterprises needing LLM observability.
The platform offers both cloud-hosted and self-hosted deployment options, with SDKs for Python, TypeScript, and Ruby via OpenTelemetry. Users can annotate traces and spans with feedback scores via the Python SDK or UI, integrate evaluations into CI/CD pipelines with PyTest integration, and monitor feedback scores, trace counts, and token usage over time in the Opik Dashboard.
Opik pricing
Pricing model: Freemium
Opik offers four pricing tiers: (1) Open Source Self-Hosted at $0/month with unlimited team members, unlimited spans, unlimited data retention, and all features including LLM tracing, datasets, experiments, LLM-as-a-judge metrics, and Agent Optimizer Suite; (2) Free Cloud at $0/month for up to 10 team members, 25,000 spans per month, 60-day data retention, with LLM tracing, datasets, experiments, and LLM-as-a-judge metrics included; (3) Pro Cloud at $39/month with unlimited team members, 100,000 spans per month, 60-day data retention (customizable), pay-as-you-go pricing for additional spans, longer data retention option, custom span limits, and custom retention periods; (4) Enterprise with custom pricing including unlimited team members, unlimited traces, everything in Pro plus flexible deployments, service accounts and view-only users, single sign-on (SSO), dedicated support and SLAs, SOC 2, HIPAA, GDPR compliance, and ISO 27001/ISO 9001 certifications.
Opik pros
- Open-source with genuine self-hosted option at no cost
- Comprehensive tracing for LLM calls, conversations, and agent activity
- Supports 50+ framework integrations including LangChain, LlamaIndex, OpenAI, Anthropic
- LLM-as-a-judge metrics for hallucination detection, moderation, and RAG assessment
- Scales to 40M+ traces per day for production workloads
- Opik Agent Optimizer SDK to enhance prompts and agents
- Opik Guardrails for safe and responsible AI practices
- Datasets and Experiments for automated evaluation
- PyTest integration for CI/CD pipeline evaluation
- Prompt Playground for experimenting with prompts and models
- Online evaluation rules to identify production issues
- Free Cloud tier supports up to 10 team members
- Python, TypeScript, and Ruby SDKs available
- Annotate traces and spans with feedback scores via SDK or UI
- Experiment management with enhanced charts for large traces
Opik cons
- 60-day data retention on Free and Pro Cloud tiers
- Free Cloud tier limited to 25,000 spans per month
- Pro Cloud tier capped at 50 team members
- SSO/SAML only available on Enterprise tier
- SOC 2, HIPAA, GDPR compliance requires Enterprise contract
- Self-hosting requires Docker or Kubernetes setup expertise
- ClickHouse, MySQL, Redis, Zookeeper dependencies for self-hosting
- Pro tier pricing at $39/month may be high for some individuals
Frequently asked questions about Opik
What is Opik and what does it do?
Opik is an open-source LLM evaluation platform built by Comet that helps developers debug, evaluate, and monitor their LLM applications, RAG systems, and agentic workflows. It provides comprehensive tracing, automated evaluations, production-ready dashboards, the Opik Agent Optimizer for enhancing prompts and agents, and Opik Guardrails for implementing safe AI practices.
Is Opik free to use?
Yes, Opik has multiple free options. The self-hosted open-source version is completely free with unlimited team members, unlimited spans, and unlimited data retention. There is also a Free Cloud tier at $0/month that supports up to 10 team members with 25,000 spans per month and 60-day data retention.
What frameworks does Opik integrate with?
Opik supports 50+ framework integrations including LangChain, LlamaIndex, OpenAI, Anthropic, Google ADK, Autogen, CrewAI, Haystack, Flowise AI, Google Gemini, Bedrock, Groq, DSPy, Ollama, LiteLLM, Instructor, Ragas, Pydantic AI, Smolagents, Watsonx, and many more. Recent additions include Google ADK, Autogen, and Flowise AI.
How do I self-host Opik?
You can self-host Opik using Docker Compose for local development by cloning the repository and running the opik.sh script (Linux/Mac) or opik.ps1 (Windows). For production-scale deployments, Opik can be installed on Kubernetes using their Helm chart. Once running, access the frontend at localhost:5173.
What are LLM-as-a-judge metrics in Opik?
LLM-as-a-judge metrics are automated evaluation metrics that use LLMs to evaluate other LLM outputs. Opik includes pre-built metrics for Hallucination detection, Moderation, Answer Relevance, Context Precision, and G-Eval (task-agnostic). You can also define custom metrics in natural language and create your own heuristic metrics.
What is the Opik Agent Optimizer?
The Opik Agent Optimizer is a dedicated SDK and set of optimizers designed to enhance prompts and agents. It helps continuously improve LLM-powered applications in production by optimizing prompt performance and agent behavior.
What are Opik Guardrails?
Opik Guardrails are features designed to help implement safe and responsible AI practices. They provide mechanisms to secure LLM-powered applications in production and ensure compliance with safety requirements.
How does Opik handle production monitoring?
Opik is designed for scale with support for 40M+ traces per day. It logs high volumes of production traces, monitors feedback scores, trace counts, and token usage over time in the Dashboard, and provides Online Evaluation Rules with LLM-as-a-Judge metrics to identify production issues as they occur.
Can I run evaluations in CI/CD pipelines?
Yes, Opik provides PyTest integration that allows you to integrate evaluations into your CI/CD pipeline. This enables automated testing of your LLM application as part of your development workflow.
What SDKs does Opik provide?
Opik provides client libraries and SDKs for Python, TypeScript, and Ruby (via OpenTelemetry). The Python SDK is the most feature-complete and includes the track decorator for logging traces, evaluation metrics, and configuration options. All SDKs support the REST API for interacting with the Opik server.