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Opik by Comet

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Track, evaluate, and optimize your LLM applications, RAG systems, and agentic workflows.

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Tracked since2026
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The Bottom Line

Entry price

Free, no paid tier

Biggest pro

Open-source with full feature set available for free

Biggest con

Requires some technical expertise to set up and run locally

TL;DR - Opik by Comet

  • Open-source platform for LLM application evaluation and monitoring.
  • Automates prompt and agent optimization with multiple powerful optimizers.
  • Includes built-in guardrails for trust, safety, and PII redaction.
Pricing: Free forever
Best for: Individuals & startups

What is Opik by Comet?

Editorial review
Opik by Comet is an open-source platform designed for debugging, evaluating, and monitoring Large Language Model (LLM) applications, Retrieval Augmented Generation (RAG) systems, and agentic workflows. It provides comprehensive tools for logging traces and spans, defining and computing evaluation metrics, scoring LLM outputs, and comparing performance across different application versions. The platform also includes automated prompt and agent optimization capabilities, utilizing various optimizers like Few-shot Bayesian, MIPRO, evolutionary, and LLM-powered MetaPrompt. Beyond evaluation, Opik focuses on maximizing trust and safety with built-in guardrails that screen user inputs and LLM outputs to prevent unwanted content, detect and redact PII, and manage off-topic discussions. It supports end-to-end LLM observability, allowing users to log traces during both development and production. Developers can confidently test their LLM pipelines within CI/CD using LLM unit tests built on PyTest and monitor production data to identify issues and generate datasets for new iterations. Opik is built for developers and integrates with popular LLM frameworks and services like OpenAI, LangChain, and LlamaIndex.

Available on: Web

Pros & Cons

Pros

  • Open-source with full feature set available for free
  • Comprehensive tools for LLM debugging, evaluation, and monitoring
  • Automated optimization saves time in prompt engineering
  • Enhances trust and safety with robust guardrails
  • Seamless integration into CI/CD pipelines for continuous testing

Cons

  • Requires some technical expertise to set up and run locally
  • The full enterprise version might have additional costs not detailed on the page

Preview

Key Features

Log traces and spans for LLM applicationsDefine and compute custom evaluation metricsAutomated prompt and agent optimization (Few-shot Bayesian, MIPRO, evolutionary, MetaPrompt)Built-in guardrails for content screening and PII redactionLLM unit testing with PyTest integrationMonitor and analyze production data for LLM performanceIntegrations with OpenAI, Predibase, Ragas, OpenTelemetry, LangChain, LlamaIndex, LiteLLM, DSPyBuilt-in LLM judges for hallucination detection, factuality, and moderation

Pricing Plans

Free

Free

  • Log traces and spans
  • Define and compute evaluation metrics
  • Score LLM outputs
  • Compare performance across app versions
  • Automated agent optimization
  • Built-in guardrails
  • Open-source

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Opik by Comet FAQ

What is Opik by Comet?

Opik by Comet is an open-source platform designed to help developers track, evaluate, debug, and monitor their Large Language Model (LLM) applications, RAG systems, and agentic workflows. It provides tools for logging traces, defining evaluation metrics, optimizing prompts, and ensuring safety with guardrails.

How much does Opik by Comet cost?

Opik is an open-source project, and its full LLM evaluation feature set is included free in the source code. Users can download and run it locally. Comet also offers a generous free tier for its account, which can be used for as long as desired without a credit card.

Is Opik by Comet free?

Yes, Opik is open-source and its full LLM evaluation feature set is available for free in the source code. Additionally, signing up for a Comet account provides access to a generous free tier that doesn't require a credit card.

Who is Opik by Comet for?

Opik by Comet is primarily for developers and enterprise teams working on LLM applications, RAG systems, and agentic workflows who need to debug, evaluate, optimize, and monitor their models throughout the development lifecycle and in production.

Source: comet.com

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