Opik
Free tierOpen-source AI observability & evaluation platform for the agentic era
Free tier available·Technical·API available·Open source
Key strengths
End-to-end agent trace logging and visualization30+ LLM-as-a-Judge evaluation metricsAutomated code fix suggestions via Ollie coding assistantTrue open-source with self-hosting supportReal-time production monitoring with guardrails and cost tracking
Free tier + paid plans
United States
Self-hostable
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Developer Documentation
Opik is open-source (GitHub: comet-ml, ~19k stars) and can be self-hosted or used via the managed Comet cloud platform. The core feature set — tracing, evaluation, and experiment management — is included free in the source code.
Integration & Setup:
- Install the Opik Python SDK via
pip install opikand configure your API key or point to a local instance. - Use decorators or context managers to instrument LLM calls, tool invocations, and retrieval steps — traces are automatically structured as a hierarchy.
- Define Test Suites with global and item-level assertions; results surface as clear pass/fail outputs without requiring individual eval metric definitions.
Evaluation Pipeline:
- Choose from 30+ built-in LLM-as-a-Judge metrics: answer relevance, context precision, hallucination detection, task completion, and more.
- Run evaluations against development traces, CI test datasets, or live production traffic for continuous quality gates.
Ollie Coding Assistant:
- Ollie reads failing traces, identifies root causes, proposes code diffs, and applies them with version control integration.
- Each fix auto-generates a new regression test case to prevent recurrence.
Production Monitoring:
- Real-time evaluation of production traces with configurable alerting thresholds.
- Guardrails API to proactively block content violating policy or exposing PII.
- Cost Intelligence dashboard tracks token usage and spend per developer/team for coding agents like Claude Code and Codex.