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Opik

Free

Evaluate, test, and ship LLM applications with a suite of observability tools to calibrate language model outputs across your dev and production lifecycle.

FreeFree tier
Type
Open Source
Company
Comet

About Opik

Opik is an open-source AI observability platform by Comet, designed for the agentic era. It logs every step an AI agent takes—from user interactions to context retrieval and tool calls—with automated evaluation workflows to find and fix errors across development, testing, and production. Opik provides end-to-end observability, LLM-as-a-Judge metrics (30+), production monitoring with real-time alerting, cost intelligence for coding agents, test suites with assertions, and a powerful coding assistant (Ollie) that automatically fixes issues in the codebase. It also includes an Agent Playground for end-to-end testing and a Prompt Optimizer with six advanced algorithms. As a true open-source project, its core features are available for free.

Key Features

Trace and debug any step in AI system with comprehensive logs
Evaluate outcomes using 30+ LLM-as-a-Judge metrics for answer relevance, context precision, hallucination, etc.
Monitor agents in production with real-time evaluation and alerting
Track and optimize coding agent spend with Cost Intelligence
Define unit tests with Test Suites assertions (global and item-level)

Pros & Cons

Pros
  • Open-source with core features free and self-hostable
  • End-to-end observability from user input to tool calls
  • Automated evaluation workflows with 30+ metrics
  • LLM-as-a-Judge scoring reduces manual review
  • Production monitoring with guardrails and alerts
  • Test suites with assertions enable repeatable unit tests
  • Ollie coding assistant auto-fixes codebase issues from traces
  • Agent Playground allows safe experimentation

Best For

Scaling LLM agents from prototype to productionDebugging agent traces and collaborating on fixesEvaluating agent performance across development, testing, and productionMonitoring production agents for policy violations and PII exposureTracking coding agent usage and cost across engineering teamsAuditing agent behavior for governance and compliance