Models and providers
You control which models the platform uses, what they cost, and how assistants choose them.

The model registry
Section titled “The model registry”The registry is the source of truth for available models, with their capabilities, pricing, and lifecycle. You can view model details, pricing history, and which assistants use each one.
Tiers and environment defaults
Section titled “Tiers and environment defaults”Assistants usually pick a tier (a quality/cost level) rather than a named model. You map each tier to a real deployment for this environment, so a “value” assistant runs on the model you’ve chosen for that tier. You also set the deployments used by platform functions (such as chat-title generation).
Connecting providers
Section titled “Connecting providers”Add provider credentials, Azure OpenAI, AWS Bedrock, Anthropic, Google Vertex: with the key or role held securely in your vault, then import their models with a guided pick-list. Vertex and Bedrock image models are supported too.