Master Opik by Comet with our step-by-step tutorial, detailed feature walkthrough, and expert tips.
Review the Opik product page and current documentation to choose between Open Source, Free Cloud, Pro Cloud, and Enterprise: 5
10 minutes Follow the current Opik documentation for installation, authentication, and SDK setup rather than relying on this listing for language
specific install commands: 15
30 minutes Instrument a small LLM application flow and run an initial evaluation workflow to confirm fit before broader rollout: 30
💡 Quick Start: Follow these 4 steps in order to get up and running with Opik by Comet quickly.
Explore the key features that make Opik by Comet powerful for llm observability & evals workflows.
Capture and inspect the steps involved in an LLM application request so teams can understand how prompts, model calls, and application logic contribute to outputs.
Debug why a RAG pipeline returned an incorrect answer by reviewing the application steps that led to the final response.
Use trace, evaluation, monitoring, and prompt-related workflows together to support iterative improvement of LLM-backed features.
Improve a customer support agent's response quality by comparing prompt changes against an evaluation dataset.
The supplied metadata identifies Opik as open source with an Apache-2 tag, which can help teams inspect, extend, or evaluate the tool before committing to a hosted workflow.
Assess whether an open-source observability framework fits internal engineering and governance requirements.
Run evaluation workflows, including test suites and assertions referenced in current plan inclusions, to help teams judge whether LLM outputs meet expected quality criteria.
Benchmark a new model version against a test set to measure quality changes before deploying.
Connect prompt changes with trace and evaluation results as part of an observability and evaluation workflow; the supplied metadata includes prompt management as a tag, but exact prompt-management UI details are not confirmed in the supplied scrape.
Track prompt changes alongside evaluation results to understand whether a prompt revision improved behavior.
Monitor LLM application behavior and quality signals over time, while defining the product-specific thresholds and criteria that matter for the application.
Identify and debug quality degradation in a production chatbot by reviewing observed traces and evaluation results.
Opik by Comet is described as an open-source LLM evaluation and observability framework for tracing, evaluating, monitoring, and improving LLM applications.
Yes. The provided metadata identifies Opik as open source and includes an Apache-2 tag, and current Comet pricing lists an Open Source plan at $0.
Opik fits into the LLM Observability & Evals category because its stated capabilities include tracing, evaluation, monitoring, prompt-related iteration, and application improvement.
Prompt management is included in the supplied tags, alongside tracing, evals, observability, and open-source. Exact prompt-management workflow details are not confirmed in the supplied scrape.
Current Comet pricing lists Open Source at $0, Free Cloud at $0 for up to 10 team members with 25k spans per month and 60-day retention, Pro Cloud at $19 per month for up to 50 team members with 100k spans per month and 60-day retention, and Enterprise at a custom quote.
Now that you know how to use Opik by Comet, it's time to put this knowledge into practice.
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Follow our tutorial and master this powerful llm observability & evals tool in minutes.
Tutorial updated March 2026