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Comet is the creator of Opik, an end-to-end AI observability platform for developers with best-in-class agent testing, optimization, and monitoring.
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Opik is an end-to-end AI observability platform for developers with agent testing, optimiz · Tracing provides LLM observability to visualize context retrieval, tool selection, user fe · Diagnostics automatically surfaces, groups, and identifies root causes of recurring issues · Test Suites and Evals provide scoring of traces with 40+ LLM-as-a-judge metrics
Comet is the creator of Opik, an end-to-end AI observability platform for developers with best-in-class agent testing, optimization, and monitoring.
Developers, data scientists, ML practitioners, and engineers in demanding enterprise envir · Over 150,000 developers and AI teams use Opik across startups, research labs, and global e
Comet's end-to-end evaluation platform is trusted by innovative data scientists, ML practitioners, and engineers in the most demanding enterprise environments.
Building, evaluating, and monitoring chatbots, RAG pipelines, and multi-step agents · Manage the complete ML lifecycle in one platform
Whether you're building a chatbot, a RAG pipeline, or a multi-step agent, Opik gives you the tools to go from "it works on my laptop" to "it works reliably in production."
ask_ollie and run_experiment tools are available on Comet Cloud only and fail at dispatch · Cursor enforces a 60-second hard tool-call timeout that does not reset on progress notific
ask_ollie and run_experiment are available on Comet Cloud only — on self-hosted those calls fail at dispatch
Works with OpenAI, Anthropic, LangChain, and 50+ other providers and frameworks · Tracing supports 60+ integrations for instrumenting LLM apps and agents · MCP server integration for AI coding assistants: Claude Code, Cursor, and VS Code Copilot · Supports Python, TypeScript, Java, .NET, Ruby, No-Code, and Multi-Language frameworks
Works with OpenAI, Anthropic, LangChain, and 50+ other providers and frameworks.
Can be self-deployed on local Docker or Kubernetes for full control over data · Build using any infrastructure and serving tools (infrastructure-agnostic) · Available as Opik Cloud (hosted) and as self-hosted (local or Kubernetes) · Self-hosted deployment supported locally and on Kubernetes
Deploy on your own infrastructure with Docker locally or Kubernetes at scale. Full control over your data.
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Opik is an end-to-end AI observability platform for developers · Tracing provides LLM observability across context retrieval, tool selection, and user feed · Diagnostics detects, groups, and identifies root causes of recurring issues
Opik is an end-to-end AI observability platform for developers with agent testing, optimization, and monitoring
Tracing provides LLM observability to visualize context retrieval, tool selection, user feedback scores, and more
Diagnostics automatically surfaces, groups, and identifies root causes of recurring issues across traces
Test Suites and Evals provide scoring of traces with 40+ LLM-as-a-judge metrics
Opik records every LLM call, tool invocation, and agent step so the full chain of events can be inspected
Prompt optimization with six optimization algorithms for every step in an agent
Building, evaluating, and monitoring chatbots, RAG pipelines, and multi-step agents
Developers, data scientists, ML practitioners, and engineers in demanding enterprise environments
Over 150,000 developers and AI teams use Opik across startups, research labs, and global enterprises
Works with OpenAI, Anthropic, LangChain, and 50+ other providers and frameworks
Tracing supports 60+ integrations for instrumenting LLM apps and agents
Can be self-deployed on local Docker or Kubernetes for full control over data
Opik MCP server lets coding agents (Claude Code, Cursor, VS Code Copilot, Codex, opencode) access traces, scoring, prompts, and experiments
Opik is an open-source platform for LLM observability and evaluation, with cloud and enterprise editions also available
To empower developers and teams to achieve business value with AI by building infrastructure to develop, evaluate, and improve modern AI applications
Comet has over seven years of experience building AI tools
Track and visualize model performance at any scale for production ML models
Monitor models via data drift tracking even when ground truth labels are unavailable
Define custom metric transformations and custom performance metrics (Comet MPM)
Real-time production alerts triggered by alerting rules on all tracked metrics
Build using any infrastructure and serving tools (infrastructure-agnostic)
Manage the complete ML lifecycle in one platform
Log, visualize, and evaluate raw LLM calls, advanced RAG pipelines, and complex agentic systems (Opik)
MCP server integration for AI coding assistants: Claude Code, Cursor, and VS Code Copilot
From chat: read traces, score outputs, save prompts, and run experiments via MCP server
Supports Python, TypeScript, Java, .NET, Ruby, No-Code, and Multi-Language frameworks
Integrates with Model Providers, Dataset Management tools, and Evaluation Gateways
Corporation
Logs traces of LLM calls and tracks prompts and agent configurations
Available as Opik Cloud (hosted) and as self-hosted (local or Kubernetes)
Self-hosted deployment supported locally and on Kubernetes
MCP server connects AI coding assistants to Opik traces
MCP CLI auto-detects and configures Claude Code, Cursor, VS Code Copilot, Codex, and opencode
Provides Python SDK, TypeScript SDK, OpenAI, and LangGraph integrations
Provides a suite of evaluation metrics including Hallucination, Answer Relevance, and Context Recall
Opik Experiments automates the evaluation process for LLM applications
Includes the Ollie assistant for analyzing traces and improving agents
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AWS expanded its SageMaker AI platform with third-party apps, a market development relevant to Comet's distribution channel as a SageMaker Partner AI App.
View source [1]AWS coverage of third-party apps, including Comet, becoming available on the SageMaker AI platform.
View source [1]Comet became available as a fully managed service within Amazon SageMaker Partner AI Apps.
View source [1]Comet released Opik as an open-source platform for LLM evaluation, providing tracing, evaluation, and monitoring workflows for generative AI applications.
View source [1]Comet launched Opik, an open-source platform for LLM evaluation targeting generative AI applications and agentic systems.
View source [1]Comet announced record customer and partner momentum, marking a major scaling milestone for the MLOps platform.
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These tools share a workflow, capability or audience with Comet. They may complement it rather than replace it, and are not presented as integrations or endorsements.
