opik
CommunityRoute-first LLM observability and evaluation.
Software Engineering#evaluation#tracing#guardrails#datasets#production-monitoring#llm-observability#opik
Authorakillness
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Opik provides end-to-end LLM observability, tracing, and evaluation, enabling teams to monitor, measure, and optimize LLM-driven applications across cloud, Docker, Kubernetes, and self-hosted environments.
Core Features & Use Cases
- End-to-end tracing and observability for LLM calls across 50+ integrations with native SDKs or @opik.track.
- LLM-as-a-judge metrics (Hallucination, Moderation, Answer Relevance, Context Precision/Recall) and experiment management for CI.
- Datasets + Experiments + Online Evaluation Rules for production monitoring, guardrails, and optimization.
Quick Start
Install the Opik Python SDK, configure a server, and enable tracing with native integrations or the @opik.track decorator.
Dependency Matrix
Required Modules
None requiredComponents
scriptsreferences
💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: opik Download link: https://github.com/akillness/jeo-skills/archive/main.zip#opik Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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