Comet offers Opik
ProductOperating Status: Currently Offered
Opik is Comet's open-source AI observability and LLM evaluation platform for agentic applications.
Opik is Comet's open-source AI observability and LLM evaluation platform for agentic applications.
Opik is an open-source AI observability and evaluation platform from Comet ML that traces every step of an LLM or agentic application, from user turns and context retrieval to tool calls. It pairs end-to-end tracing with automated evaluation so teams can debug and improve agents across development, testing, and production.
Teams score traces with more than 30 LLM-as-a-judge metrics, monitor production traffic with real-time alerts, guardrails, and token-cost tracking, and run Test Suites, an Agent Playground, and a prompt optimizer. The core feature set is free and open source on GitHub, with a scalable managed version offered by Comet for enterprise teams.
Open-source LLM engineering platform for tracing, prompt management, evaluations, and analytics.
Observability for LLM applications and AI agents, tracing model calls, tool invocations, and agent handoffs.
Observability and evaluation platform for shipping quality AI agents at scale.
Agent observability service that records every production agent trace and finds silent failures without sampling.
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Open-source LLM engineering platform for tracing, prompt management, evaluations, and analytics.
Observability for LLM applications and AI agents, tracing model calls, tool invocations, and agent handoffs.
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Enterprise AI observability and evaluation platform for testing, monitoring, and improving AI agents and applications.
AI-native observability platform that autonomously detects, diagnoses, and fixes production errors.
Monitoring platform that detects silent failures in production AI agents.
AI Control Plane monitors, evaluates, and governs enterprise AI agents across their lifecycle.
Agent Arena is a public leaderboard ranking developer tools by autonomous AI agent adoption.
Portkey AI provides a gateway platform for managing and observing large language model deployments.
Tools for building, deploying, evaluating, and governing enterprise AI and machine learning systems.
Eval Engineering Platform turns AI evaluation results into automated production guardrails.
