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Comet Opik

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Comet provides an end-to-end model evaluation platform for AI developers.

Comet is an end-to-end platform for AI developers, offering LLM evaluations, experiment tracking, and production monitoring. It includes features like LLM tracing, automated evaluations, model versioning, and dataset management. With Comet, teams can track model training, optimize LLM responses, and monitor performance in production. It integrates with many AI frameworks and cloud environments.

Pricing: Per user

Hosting Cloud + Self-hosted
Pricing Freemium, from $39/mo
HQ 🇺🇸 United States
Founded 2017
License APACHE2
GitHub 17,600 stars
Compliance SOC 2 · HIPAA · GDPR · SSO
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What is Opik?

Opik is an open-source (Apache 2.0) platform built by Comet for tracing, evaluating, and monitoring LLM applications, RAG pipelines, and agentic workflows. It covers the full lifecycle from development debugging through production monitoring, with both a managed cloud version and self-hosted deployment via Docker Compose or Kubernetes.

How It Works

Opik instruments LLM application code to capture structured traces of every call, including inputs, outputs, token usage, latency, and cost. Traces are organized into spans that show the execution flow, with support for distributed tracing across services. The platform includes 30+ built-in evaluation metrics for hallucination detection, RAG quality, and agent-specific scoring, plus LLM-as-a-judge and human annotation queues.

Key Features

The tracing system supports multimodal logging (images, video, audio), agent graph visualization for frameworks like LangGraph, and a custom query language (OQL) for filtering trace data. Prompt management provides versioned prompt storage, a playground for side-by-side testing, and AI-powered prompt refinement. Production monitoring includes quality dashboards, cost tracking, guardrails to prevent risky outputs, and PII anonymization. An Agent Optimization SDK offers multiple algorithms for tuning prompts, parameters, and tool selection.

Opik integrates with 60+ tools including OpenAI, Anthropic, LangChain, LangGraph, CrewAI, LlamaIndex, DSPy, and LiteLLM. SDKs are available for Python and TypeScript.

Pricing

The self-hosted open-source version is free with unlimited spans and no feature restrictions. The managed cloud free plan includes 25,000 spans per month with 60-day data retention. The Pro plan costs $39/month for 100,000 spans with extended retention, with overage at $5 per additional 100k spans. All plans include unlimited team members. Researchers and students get Pro access for free.

Who Should Use It

Opik is a good fit for teams that want open-source LLM observability with a generous self-hosted option. Its evaluation toolkit is particularly strong for RAG applications, with built-in metrics for context precision, answer relevance, and hallucination detection. The Apache 2.0 license is more permissive than some alternatives.

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