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Testing & Quality🔴Developer
O

Opik

Open-source LLM observability and evaluation platform by Comet for tracing, testing, and monitoring AI applications and agentic workflows.

Starting atFree
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💡

In Plain English

An open-source platform for tracing, evaluating, and monitoring LLM applications — debug prompts, run automated evals, and catch issues in production.

OverviewFeaturesPricingGetting StartedUse CasesLimitationsFAQAlternatives

Overview

Opik is an open-source platform built by Comet that covers the full lifecycle of LLM application development — from debugging and evaluation to production monitoring. It provides comprehensive tracing for LLM calls, RAG pipelines, and multi-agent systems, recording every step an application takes to generate a response. Developers can define and compute evaluation metrics, run experiments with different prompts against test sets, and use built-in LLM judges for hallucination detection, factuality checking, and content moderation. Opik includes automated prompt optimization with four distinct optimizers (Few-shot Bayesian, MIPRO, evolutionary, and MetaPrompt) that iterate toward high-performing system prompts and freeze them as reusable production assets. Built-in guardrails screen user inputs and LLM outputs to detect and redact PII, competitor mentions, off-topic content, and other unwanted material. The platform supports LLM unit testing within CI/CD pipelines via PyTest integration, letting teams establish performance baselines and run comprehensive test suites on every deploy. In production, Opik logs all traces to identify issues, tracks model performance on unseen data, and generates datasets for new development iterations. The full feature set is available in the open-source code on GitHub for self-hosting, with a free cloud-hosted option and an enterprise tier for teams needing scalability, SSO, and dedicated support.

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Key Features

Trace & Span Logging+

Record, search, and analyze every step your LLM app takes, including nested spans for complex multi-step pipelines

Use Case:

Debug why a RAG pipeline returned an incorrect answer by drilling into each retrieval and generation step

Automated Prompt Optimization+

Four optimization algorithms that automatically iterate on prompts and agent configurations based on evaluation metrics

Use Case:

Improve a customer support agent's response quality by auto-tuning system prompts against your eval dataset

Guardrails Engine+

Screen inputs and outputs to block PII leaks, competitor mentions, off-topic discussions, and harmful content

Use Case:

Prevent a chatbot from exposing user personal data or generating responses about competitors

Evaluation & Scoring+

Run experiments with configurable metrics and built-in LLM judges for hallucination, factuality, and moderation

Use Case:

Benchmark a new model version against a test set to measure accuracy improvements before deploying

CI/CD LLM Testing+

PyTest-based unit tests that establish performance baselines and run comprehensive test suites on every code push

Use Case:

Catch prompt regressions automatically in your deployment pipeline before they reach production

Production Monitoring+

Log all production traces, analyze model performance on real-world data, and generate datasets for iterative improvements

Use Case:

Identify and debug quality degradation in a production chatbot by reviewing aggregated trace scores

Pricing Plans

Open Source

Free

  • ✓Full feature set
  • ✓Self-hosted deployment
  • ✓Unlimited traces
  • ✓Community support

Cloud Free

Free

  • ✓Hosted by Comet
  • ✓Full evaluation features
  • ✓Tracing and monitoring
  • ✓No infrastructure management

Cloud Pro

Contact for pricing

  • ✓Higher usage limits
  • ✓Priority support
  • ✓Team collaboration
  • ✓Advanced analytics

Enterprise

Custom pricing

  • ✓Unlimited team members
  • ✓Unlimited traces
  • ✓Flexible deployments (cloud, on-prem, hybrid)
  • ✓SSO and service accounts
  • ✓Dedicated support and SLAs
  • ✓View-only user roles
See Full Pricing →Free vs Paid →Is it worth it? →

Ready to get started with Opik?

View Pricing Options →

Getting Started with Opik

  1. 1Sign up for free cloud account at comet.com or clone the open-source repository from GitHub: 5-10 minutes
  2. 2Install the Opik Python SDK with pip install opik and configure your API key: 15-30 minutes
  3. 3Add trace decorators to your LLM application code and run your first evaluation experiment: 30-60 minutes
Ready to start? Try Opik →

Best Use Cases

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Debugging and improving RAG pipeline accuracy with end-to-en: Debugging and improving RAG pipeline accuracy with end-to-end trace analysis

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Automated prompt engineering for production LLM applications: Automated prompt engineering for production LLM applications

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CI/CD quality gates that prevent LLM regressions from reachi: CI/CD quality gates that prevent LLM regressions from reaching users

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Production monitoring of chatbots and AI agents with real-ti: Production monitoring of chatbots and AI agents with real-time scoring

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Compliance and safety enforcement with built-in guardrails f: Compliance and safety enforcement with built-in guardrails for regulated industries

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Benchmarking model versions and prompt strategies with repro: Benchmarking model versions and prompt strategies with reproducible experiments

Limitations & What It Can't Do

We believe in transparent reviews. Here's what Opik doesn't handle well:

  • ⚠Self-hosted deployment requires DevOps expertise for production-grade setups
  • ⚠Cloud free tier has usage caps that may not suit high-traffic applications
  • ⚠Prompt optimization works best with well-defined evaluation metrics — requires upfront metric design
  • ⚠Enterprise pricing not publicly disclosed requiring sales contact for cost estimation

Pros & Cons

✓ Pros

  • ✓Fully open-source with no feature gating — self-host with complete functionality at zero cost
  • ✓Automated prompt optimization removes manual trial-and-error from prompt engineering
  • ✓Built-in guardrails provide safety and compliance without external dependencies
  • ✓CI/CD-native testing catches LLM regressions before they reach production
  • ✓Comprehensive tracing works across LLM calls, RAG systems, and multi-agent workflows
  • ✓Free cloud tier eliminates infrastructure management for small teams and individual developers

✗ Cons

  • ✗Self-hosted deployment requires managing infrastructure (ClickHouse, Redis, etc.)
  • ✗Enterprise pricing is not publicly listed — requires contacting sales
  • ✗Focused on LLM applications — not designed for traditional ML model training workflows
  • ✗Learning curve for teams new to observability and evaluation concepts

Frequently Asked Questions

Is Opik really free and open source?+

Yes. The full Opik feature set is available in the open-source code on GitHub under the Apache 2.0 license. You can self-host it at no cost, or use the free cloud-hosted version.

How is Opik different from other LLM observability tools?+

Opik combines tracing, evaluation, automated prompt optimization, guardrails, and CI/CD testing in a single open-source platform — most alternatives only cover one or two of these areas.

What frameworks does Opik integrate with?+

Opik integrates with LangChain, LlamaIndex, OpenAI, Anthropic, and many other LLM providers and frameworks through its Python SDK and native integrations.

Can I use Opik in production?+

Yes. Opik is designed for production use with scalable trace logging, real-time monitoring dashboards, and enterprise-grade deployment options.
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Alternatives to Opik

LangSmith

Analytics & Monitoring

LangSmith lets you trace, analyze, and evaluate LLM applications and agents with deep observability into every model call, chain step, and tool invocation.

Helicone

Analytics & Monitoring

Open-source LLM observability platform and API gateway that provides cost analytics, request logging, caching, and rate limiting through a simple proxy-based integration requiring only a base URL change.

Braintrust

Voice Agents

AI observability platform with Loop agent that automatically generates better prompts, scorers, and datasets from production data. Free tier available, Pro at $25/seat/month.

View All Alternatives & Detailed Comparison →

User Reviews

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Quick Info

Category

Testing & Quality

Website

www.comet.com/site/products/opik/
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