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Opik

AI Observability & Evals For the Agentic Era

Pricing
Freemium
Open Source, Free Cloud, Pro Cloud, Enterprise

About Opik

Opik is an AI observability and evaluation platform built by Comet for agentic systems. It helps developers test, ship, and continuously improve LLM applications and autonomous agents, covering use across individual developers and large organizations. The platform is compared by its maker against alternatives such as LangSmith, Langfuse, Arize, Braintrust and Galileo.

Opik logs each step an agent takes, from user interactions to context retrieval and tool calls, and lets a team define what a good outcome looks like with a reference dataset or a plain-text assertion. Traces from development, testing or production can be scored and compared across agent versions, and the core feature set is available as open-source code that can be downloaded from GitHub and run locally.

The platform scores performance with over 30 metrics covering answer relevance, context precision, task completion and hallucination, and it can alert in real time when a production interaction fails a test criterion. Guardrails block content and policy violations and protect against PII exposure. A Prompt Optimizer offers several optimization algorithms, and a coding assistant called Ollie suggests and implements fixes directly in an agent's codebase.

Opik is available as a free open-source download, a Free Cloud plan with up to 10 team members and 25k spans a month, a Pro Cloud plan at $19 per month with up to 50 team members and 100k spans a month, and a custom Enterprise plan with unlimited team members and compliance certifications including SOC 2 and HIPAA. A REST API and Python client work with both the open-source and cloud versions.

Use cases

  • Surfacing silent errors with recommended fixes during debugging
  • Comparing agent versions across development, testing and production before shipping
  • Controlling coding agent spend across engineering teams
  • Producing audit logs for a governance team

Key features

  • Logs every step an agent takes, including context retrieval and tool calls
  • Scores performance with 30+ built-in evaluation metrics
  • LLM-as-a-judge evaluation against a reference dataset or plain-text assertion
  • Real-time production monitoring with alerts on failed test criteria
  • Guardrails that block policy violations and PII exposure
  • Cost Intelligence that tracks Claude Code and Codex spend by team
  • Ollie coding assistant that writes fixes into the agent's codebase
  • Agent Playground for testing an entire agent end-to-end
  • Prompt Optimizer with several optimization algorithms
  • Open-source core that can be downloaded and run locally

Pros and cons

Pros

Core observability and evaluation feature set is free and open source
No credit card needed for the free tier

Cons

Free Cloud is capped at 25k spans a month with 60-day retention
Pro Cloud is limited to 50 team members

Pricing

Open Source
$0
  • Full AI observability & agent testing feature set
  • True OSS: same codebase as the hosted versions
  • Agent tracing & analysis
  • Test Suites & assertions
  • Agent Playground
Free Cloud
$0
  • Up to 10 team members
  • 25k spans per month
  • 60-day data retention
  • Agent tracing & analysis
  • Ollie coding harness trial
Pro Cloud
$19
month
  • Up to 50 team members
  • 100k spans per month
  • 60-day data retention
  • Customizable monthly span limits
  • Customizable data retention periods
Enterprise
Custom
  • Unlimited team members
  • Custom usage plans
  • Flexible deployments
  • Single sign-on
  • Dedicated support and SLAs
  • SOC 2, ISO 27001, ISO 9001, HIPAA, and GDPR compliance

Reviews

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Frequently asked questions

What is the relationship between Comet, Opik, and MLOps / Experiment Management?
Comet is the company name behind two product families, Opik and MLOps; they run on the same platform and each includes access to the free version of the other.

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