Getting Started vs LLM Status

Command-line interface for managing RevOS resources, tables, scores, segments, actions, cubes, organizations, and more.

Track where every AI model is used across your apps, and get warned before one is deprecated or retired.

About Getting Started

Command-line interface for managing RevOS resources, tables, scores, segments, actions, cubes, organizations, and more. Manage Resources, CRUD tables, scores, segments, actions, AI instructions, and service accounts. Manage Cubes & Pipelines via IaC, Declare Connections and Cubes as YAML; reconcile with revos apply, inspect with revos diff and revos status . Scaffold Projects, Generate data engineering projects with medallion layout, Dev Containers, dbt, and AI companion files.

About LLM Status

Track where every AI model is used across your apps, and get warned before one is deprecated or retired. Run mm for the full terminal dashboard: it scans the current repo on launch, then you arrow through every model it calls, browse the registry, and see what's new, live. Both pull the signed registry from cdn.llmstatus.ai once, then run offline. The Here and What's New tabs read straight off the signed registry, no account, works offline.