Open-source LLM observability and evaluation platform by Comet for tracing, testing, and monitoring AI applications and agentic workflows.
An open-source platform for tracing, evaluating, and monitoring LLM applications — debug prompts, run automated evals, and catch issues in production.
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.
Was this helpful?
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
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
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
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
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
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
Free
Free
Contact for pricing
Custom pricing
Ready to get started with Opik?
View Pricing Options →We believe in transparent reviews. Here's what Opik doesn't handle well:
Weekly insights on the latest AI tools, features, and trends delivered to your inbox.
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.
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.
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.
No reviews yet. Be the first to share your experience!
Get started with Opik and see if it's the right fit for your needs.
Get Started →Take our 60-second quiz to get personalized tool recommendations
Find Your Perfect AI Stack →Explore 20 ready-to-deploy AI agent templates for sales, support, dev, research, and operations.
Browse Agent Templates →