New! Write simple unit tests and let Opik debug your agents for you. Here’s how→

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AI Observability & Agent optimization

Unit test your agents.
Fix them automatically.

Opik is the first AI observability platform to improve your
agent’s code based on past activity, logs, and test results.

Try Opik Free
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Familiar software testing flows,
supercharged to ship AI agents.

Understand what your agent is doing, where it’s failing, and how to fix it. Define assertions for your desired outcomes in Test Suites, implement fixes with built-in regression testing in Opik Connect, and test run your entire agent in Agent Playground.

Test Suites & Assertions: Define Regression Tests

  • Define rules for what your agent should and shouldn’t do, and get clear pass/fail results.
  • Set global rules that every test case must pass, plus item-level assertions for specific scenarios.
  • No need to create individual eval metrics, reference datasets, or run one-off evals.
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Ollie: Write Fixes Directly to Your Codebase

  • Opik’s powerful coding assistant analyzes your traces, suggests fixes, and implements them in your development code — with built-in version control and regression testing.
  • With every fix, Ollie writes a new test case to ensure the same issue won’t slip through again.
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Agent Playground: Test Agents End-to-End

  • Run your entire agent in Opik to understand how changes to your configuration of models, prompts, and parameters affect the system as a whole.
  • Track and version sets of prompts and parameters and deploy successful versions.
  • Give stakeholders outside your dev team access to test and experiment safely.
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Built for developers. Trusted by the world’s largest enterprise teams.

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Autodesk logo
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Try Opik Free
Get Demo

The Opik Foundation:
Best-in-Class AI Observability

Log traces and spans, monitor your agent’s performance in production,
compare performance across app versions, and more.

Trace & Debug Every Step in Your AI System

Capture, visualize, and understand every action your agent takes. Collaborate with subject matter experts to surface errors, annotate, and fix underperforming traces. Automatically produce audit logs for your governance team.

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Monitor Performance with Online Evals & Alerts

Evaluate production traces in real time and get alerted if a user interaction fails your test criteria. Apply guardrails to proactively block content and policy violations and protect against PII exposure and other compliance risks.

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Track Costs & Quality with Custom Dashboards

Iterate and ship with confidence knowing you have end-to-end visibility into your agent’s token usage, latency, and error logs. Drill down and to analyze and fix issues before they impact your model budget or user experience.

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Auto-Optimize Prompts Based on Desired Outcomes

Choose from seven advanced prompt optimization algorithms to achieve more precise and consistent results throughout your agent, from orchestration and tool calling steps to model parameters and user interactions.

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Open Source & Ready to Run

Opik is a true open-source project, and its core AI observability and evaluation feature set is included free in the source code. You can download the code from GitHub and run it locally, with a highly scalable and industry-compliant version ready for enterprise teams.

GitHub comet-ml: 19k

Iterate Across Your Agent
Development Lifecycle 

Opik helps analyze the quality of LLM responses at every step of the app development lifecycle so you can debug and optimize with confidence.

Understand Cause & Effect in Complex Agentic Systems

With multiple components influencing model behavior and countless outputs generated during development, manual review and vibe checks don’t cut it.

With Opik, you can log traces and compute scores in the aggregate, and drill down to individual prompts and responses that need attention.   

Opik LLM lifecycle: three stages in a loop. Development: iterate on prompts and context retrieval for accurate LLM outputs. Unit Testing: verify performance across pipelines, prompts, and models. Production: validate on unseen data and generate datasets for the next cycle.
Opik LLM lifecycle: three stages in a loop. Development: iterate on prompts and context retrieval for accurate LLM outputs. Unit Testing: verify performance across pipelines, prompts, and models. Production: validate on unseen data and generate datasets for the next cycle.

Try Opik Free

You don’t need a credit card to sign up, and your Comet account comes with a generous free tier you can actually use — for as long as you like.

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