Observability and evaluation platform for AI agents and LLMs
By Tanmay Verma, Founder · Last verified 20 May 2026
Affiliate disclosure: We earn a commission when you use our links. Editorial picks are independent. How we choose.
Comet's Opik stands out with its unique auto-debugging agent Ollie, which writes fixes directly to your codebase. Essential for teams building complex GenAI systems who need both deep observability and rapid iteration. The open source nature ensures no vendor lock-in.
Compare with: Comet vs MLflow, Comet vs MindsDB, Comet vs Obviously AI
Last verified: May 2026
Pick Comet if you're building production-grade AI agents and need to move fast without losing visibility. Its standout feature is Ollie, the coding agent that analyzes traces and writes fixes automatically — a genuine time-saver for debugging complex LLM chains. Pass if you only need basic logging or are using a single framework like just OpenAI — simpler tools exist. Compared to LangSmith, Comet offers stronger open source flexibility and an integrated auto-fix capability. Caveat: while Opik is open source, the platform's full power (like enterprise security and high-volume production monitoring) likely requires the paid Comet cloud. The page touts enterprise reliability but doesn't list pricing, so budget-conscious teams should evaluate carefully.
Skip Comet if Skip Opik if you are not building LLM agents or need a general ML experiment tracking platform like MLflow or Weights & Biases.
Interview series with engineers who shipped AI products, covering real-world RAG challenges.
Guide to monitoring and controlling AI spend in agentic systems.
How likely is Comet to still be operational in 12 months? Based on 6 signals including funding, development activity, and platform risk.
Comet is an AI developer platform that combines LLM observability, evaluation, and automated debugging. With Opik, its open source tool, developers can log, annotate, evaluate, and monitor every step their AI agent takes. The platform automatically turns trace data and eval results into code fixes via Ollie, a built-in coding agent. Trusted by over 150,000 developers, Comet supports frameworks like PyTorch, LlamaIndex, LangChain, and OpenAI. Unlike other observability tools, Opik is truly open source, backed by enterprise-grade infrastructure, and offers flexible self-hosted or cloud deployment.
Concrete scenarios for the personas Comet actually fits — and what changes day-one when you adopt it.
Build a multi-step agent with LangChain, add the Opik decorator, and run traces. Write assertions in plain English, let Opik test them, and use Ollie to auto-apply fixes.
Outcome: Debug and improve agent iteration speed by 50% with automated testing and code repair.
Deploy an agent to production with Opik monitoring. Set up custom dashboards for cost and performance. Use the Agent Playground to test new versions before rollout.
Outcome: Achieve governance compliance, reduce incident response time, and maintain consistent agent behavior.
Self-host Opik on-premises for security. Integrate with LlamaIndex and OpenAI, and create test suites for regression testing. Use Ollie to automatically patch agent code after failed tests.
Outcome: Maintain data privacy, enforce testing standards, and accelerate fix cycles without manual code review.
Opik is specifically designed for LLM agents; it does not provide general ML experiment tracking, hyperparameter optimization, or data versioning outside of agent contexts. The AI coding agent (Ollie) may not always generate correct fixes and requires human review. Self-hosting the open-source version may require engineering effort.
Project the real annual outlay, including the implied monthly cost when only an annual tier is published.
Vendor list price only. Add-on usage, seat overages, and contract minimums are surfaced under Hidden costs & gotchas.
For each published Comet tier: who it actually fits, and what it adds vs. the previous tier. Cross-reference the cost calculator above for projected annual outlay.
Free
$0
Ideal for
Solo developers and small projects exploring LLM agent observability with up to 100 experiments
What this tier adds
Starting tier with limitations on experiment count; no team features or production monitoring
Teams
$179/mo
Ideal for
Small to medium teams needing unlimited experiments and model monitoring for production agents
What this tier adds
Unlimited experiments and model monitoring compared to Free plan
Enterprise
Custom
Ideal for
Large organizations requiring on-premises deployment, SSO, and priority support
What this tier adds
Custom deployment, SSO, and priority support over Teams plan
The company stage and team size where Comet's pricing actually pencils out — and where peers do it cheaper.
Opik's free tier is ideal for solo developers prototyping agents. The Teams plan at $179/month fits small teams needing unlimited experiments and monitoring, but is pricier than self-hosted OSS options like LangFuse. Enterprise custom pricing is typical for large orgs needing on-prem and SSO.
How long it actually takes to get something useful out of Comet — broken out by persona, not the marketing-page minute.
For a solo developer: 5 minutes to add a decorator or configure integrations, then instant trace visibility. For a team: 30 minutes to set up projects and test suites. Full production monitoring with custom dashboards may take a day.
How to bring data in from common predecessors and how to get it back out — written for the switcher, not the buyer.
Pricing, brand, ownership, or deprecation changes worth knowing before you commit. Most-recent first.
Common stack mates teams adopt alongside Comet, with the specific reason each pairing earns its keep.
Used Comet? Help shape our editorial sentiment research.
© 2026 RightAIChoice. All rights reserved.
Built for the AI community.
New playground for early-stage agent development, allowing rapid iteration on architecture and tool integration.
Last calculated: May 2026
How we score →AI Workers for revenue teams that automate meeting prep, CRM, and account monitoring.