Open-source LLM evaluation and observability framework: trace, evaluate, monitor, and improve LLM applications.
Open-source LLM evaluation and observability framework: trace, evaluate, monitor, and improve LLM applications.
Opik by Comet is an Apache-2 open-source LLM evaluation and observability framework with a $0 Open Source plan, a $0 Free Cloud plan for up to 10 team members, 25k spans per month, 60-day retention, and a $19 per month Pro Cloud plan for up to 50 team members and 100k spans per month. Based on the supplied product metadata and current Comet pricing information verified on 2026-06-04, its core focus is the operational lifecycle of LLM applications: tracing application behavior, evaluating outputs, monitoring quality over time, and using those signals to improve prompts and model-backed workflows. This places Opik in the LLM observability and evals category rather than in a general-purpose chatbot, model provider, or prompt-only tool category.
The tool is especially relevant for engineering and machine learning teams that need more structure around how LLM applications behave in development and production. LLM systems can fail in ways that are difficult to detect with ordinary logs alone: responses may be factually weak, inconsistent, overly verbose, missing required constraints, or sensitive to small prompt and retrieval changes. Opik’s stated scope addresses that problem by combining tracing and evaluation workflows so teams can inspect what happened in an LLM call path and judge whether the resulting behavior meets expectations.
The provided metadata also identifies Opik as open source and Apache-2 licensed. That is important for organizations that want the option to inspect the implementation, self-host or extend parts of the stack, or avoid depending entirely on a closed SaaS vendor for evaluation and observability workflows. Open-source licensing can also make the tool more accessible for experimentation, internal platform teams, and organizations with stricter procurement or data governance needs. Current hosted pricing adds a concrete cloud path: Free Cloud is $0 with 10 team members, 25k monthly spans, and 60-day retention; Pro Cloud is $19 per month with up to 50 team members, 100k monthly spans, and 60-day retention; Enterprise is custom-priced with unlimited team members and custom usage plans.
Opik appears to cover several adjacent capabilities that often need to work together in mature LLM development: tracing, evals, monitoring, test suites, assertions, agent playground workflows, and prompt-related iteration. Tracing helps teams understand the sequence of steps involved in an LLM-powered request. Evaluation helps teams compare outputs against expected behavior or quality criteria. Monitoring helps track whether application quality changes over time. Prompt iteration supports changes to the instructions and templates that shape model behavior. Together, these capabilities are useful for teams moving from prototypes to production systems, where repeatability, debugging, and quality measurement matter.
The supplied scraped website content itself is hard-trimmed and mostly contains browser monitoring JavaScript rather than detailed product copy, feature pages, screenshots, deployment instructions, or integration documentation. Because of that, this directory entry avoids claiming specific SDK languages, exact UI workflows, model-provider support, hosting architecture, API authentication style, or unsupported release-note details that were not present in the provided content. The strongest factual characterization supported by the supplied material and pricing verification is that Opik by Comet is a freemium, Apache-2, open-source framework for LLM observability, tracing, evaluation, monitoring, prompt-related iteration, and improvement of LLM applications.
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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.
Use Case:
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.
Use Case:
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.
Use Case:
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.
Use Case:
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.
Use Case:
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.
Use Case:
Identify and debug quality degradation in a production chatbot by reviewing observed traces and evaluation results.
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$19 per month
Custom quote
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This record was last enriched on 2026-06-04. Current Comet pricing information verified on 2026-06-04 lists Opik Open Source at $0, Free Cloud at $0 with up to 10 team members, 25k spans per month, and 60-day retention, Pro Cloud at $19 per month with up to 50 team members, 100k spans per month, and 60-day retention, and Enterprise at a custom quote. No specific 2026 release notes, launch announcements, roadmap items, or newly added features were present in the supplied scraped website content. The current factual positioning remains that Opik by Comet is an open-source, freemium LLM observability and evaluation framework focused on tracing, evaluating, monitoring, prompt-related workflows, and improvement of LLM applications.
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