An explanation of clients, API tokens, and quotas in PaletteAI Inference Launchpad: what a client is, why the appliance serves many clients such as AI coding assistants, and how it meters usage, reports utilization, and limits consumption. It also covers how workspaces, roles, and members decide who administers which clients.
Step-by-step guidance for platform administrators on how to create a client on a PaletteAI Inference Launchpad appliance by stepping through the Add client wizard and issuing the client's first API token.
Step-by-step guidance for platform administrators on how to route a client to specific models and allow a client to reach external models on a PaletteAI Inference Launchpad appliance.
Step-by-step guidance for platform administrators on how to find expired keys, revoke an API token, and delete a client on a PaletteAI Inference Launchpad appliance, and what happens to in-flight requests.
Step-by-step guidance for platform administrators on how to set, raise, edit, and remove usage quotas on a client on a PaletteAI Inference Launchpad appliance.
Step-by-step guidance for platform administrators on how to view quota utilization, historical consumption, and per-token usage on a PaletteAI Inference Launchpad appliance.