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The Fastest Path
to Agents That Work

Opik connects observability to action, automatically turning trace data and eval results into code fixes. Your agent keeps evolving and doesn’t make the same mistake twice.

Trusted by over 150,000 developers and thousands of companies

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AssemblyAI logo
Natwest logo
Stellantis logo
Uber Logo
zencoder logo
Netflix Logo
Autodesk logo
Etsy logo
Stability Ai logo
Mobileye logo

21,000+

Github Stars

150,000+

Users

10,000+

Teams

Log
Detect
Fix
Validate
Monitor

Log every step your agent takes

Traces give you total LLM observability to visualize and understand what’s happening across complex GenAI systems, from context retrieval and tool selection to user feedback scores and more. Tracing is easy to instrument with 60+ integrations — pick yours or simply give your coding agent access to all this info via our MCP server.

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Detect silent errors & debug traces

Automatically surface errors from thousands of traces with Diagnostics, using Opik’s MCP server. Diagnostics detects and groups similar recurring issues, identifies their root causes, and recommends fixes — even when there is no explicit error message.

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Fix issues at the source with Ollie

The Ollie agent lives inside Opik, understands your traces, and sees when tool calls, context retrieval steps, system prompts, and more don’t perform as expected. Grab Ollie’s recommended fixes and mark issues Resolved.

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Validate fixes with Test Suites & Evals

Understand your agent’s performance at a higher level by scoring sets of traces against specific goals. Define success and get simple pass/fail results with Test Suites, or create golden datasets and run evaluations with 40+ LLM-as-a-judge metrics.

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Monitor & manage agents in production

Extend observability and evaluation across your agent’s production footprint to help meet governance requirements, track model costs, and ensure consistent performance. Production dashboards give you peace of mind and alerts catch new issues before they affect users.

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An End-to-End AI Evaluation Platform

Comet’s end-to-end model evaluation platform for developers focuses on shipping AI features, including open-source LLM observability, application testing and optimization, and coding agent cost tracking.

claude code cost tracking

Opik: Track & Optimize Coding Agent Spend

Get full visibility into engineering teams’ Claude Code and Codex usage with Cost Intelligence in Opik. Eliminate wasted tokens and gain efficiency across MCP installs, skills, model selection, context retrieval, and configurations.

Opik: Log & Evaluate Your Application’s LLM Calls

Opik provides comprehensive LLM observability so you can confidently test, debug, and monitor your GenAI apps and agents, from application-level unit testing down to individual system prompts and user inputs.

Opik: Optimize Prompts & Agentic Systems

With your application’s LLM calls and responses logged, you can bring in expert reviewers for annotation, score using built-in eval metrics, and even automate prompt engineering for complex multi-step agents.

MLOps: Track & Compare Model Training Runs

Comet Experiment Management gives you the tools to ensure your models are explainable and reproducible, with custom visualizations, model versioning, dataset management, production monitoring, and more.

“LLMs are black boxes. We don’t know what is going on inside them. We needed a solution that allowed us to see how our models behaved, and Opik gives us the ability to understand what went wrong, and share that with the team to debug and iterate faster.”

DMITRII KRASNOV

ENGINEERING MANAGER, ZENCODER

Trusted by the most innovative AI teams