Opik

Opik is an open-source LLM observability platform that helps developers debug, evaluate, and optimize generative AI applications.

Opik is an open-source platform designed to help developers understand, measure, and improve LLM applications, RAG pipelines, and multi-step agents. It records every LLM call, tool invocation, and agent step to provide full request and response logs. Users can build test suites from production failures, track quality metrics like hallucination and context recall, and automatically optimize prompts using six different algorithms. The platform integrates with OpenAI, Anthropic, LangChain, and over 50 other providers and frameworks. It is built for AI engineers and development teams who need to transition models from prototypes to reliable production systems.

Opik at a glance

Best for: Software engineer
Runs on: Web, API, self-hosted, open source
Pricing: Open source is Free; Free Cloud plan available; Pro Cloud $19/month; Enterprise custom pricing
Released: May 2023
Category: AI coding tool
Website: comet.com

Key features

Record every LLM call, tool invocation, and agent step
Build test suites from production failure traces
Track quality in production with automated evaluation rules
Automatically improve prompts with optimization algorithms
Store and version prompts in the Prompt Playground
Deploy on local infrastructure with Docker or Kubernetes

Use it for

Debugging LLM application and agent failures
Running automated evaluations on datasets and metrics
Optimizing prompts for GenAI applications
Monitoring production latency, cost, and error rates

Companions

Tools that articles about Opik recommend using with it, each with its job.

Context7 — Provides up-to-date documentation for AI agents and code editors.
Ollama — Run local models at zero marginal cost, with code kept on your machine.
OpenRouter — Access over 500 models and 80 providers through one unified API.
Daytona — Runs sessions in isolated sandboxes synced to git branches.
Composio — Equips AI agents with tools, managed user auth, and sandboxes across 1,500+ apps
Oh My OpenCode Slim — Lightweight multi-agent orchestration and background tasks.

Alternatives to Opik

OpenCode — Works with 75+ model providers, local models, and existing subscriptions
OpenLIT — It enables comprehensive monitoring, evaluation, and management of AI agents via OpenTelemetry.
New Relic — Unified visibility across applications, infrastructure, and AI models.
Oumi — Automates model training and evaluation to cut costs and improve accuracy.
OpenLLMetry — Integrates into applications with just two lines of code.
Tracely — Turns production failures into regression tests that block pull requests.
Helicone — Route, debug, and analyze AI applications with one SDK for over 100 models.
Arize Phoenix — Provides tools for tracing, evaluation, prompt engineering, and experiments.
OptiLLM — Increases LLM reasoning accuracy by up to 10x without model training.
OpenAPPA — Tracks data flows algebraically to prevent prompt injection without breaking agents.
ARTEX — Runs autonomous multi-agent penetration testing with a dual-graph architecture.
Genkit — Provides unified APIs and local developer tools for AI application workflows.

All Opik alternatives