deploy-model

Azure OpenAI deployment routing analyzes user intent to direct requests to preset, customize, or capacity modes. It resolves projects, validates quotas, and orchestrates deployment across SKUs for efficient model provisioning.

Preset mode enables fast deployments, customize allows full control over version, SKU, capacity, and RAI policy, and capacity mode focuses on discovery. The router analyzes your intent to select the appropriate path, including cross-region fallbacks when needed.

Yes, the Azure OpenAI deployment router supports Anthropic provisioning. When required by the customized deployment flow, it orchestrates the necessary REST API calls to provision Anthropic models alongside standard Azure OpenAI SKUs.

Yes, Azure OpenAI deployment routing enforces authentication and performs pre-deployment validations. It checks capacity, resolves target regions, and validates quotas before handing off to the preset or customize deployment flows for execution.

Checking Azure OpenAI capacity and quotas is handled by the capacity discovery mode. The router analyzes your deployment intent, resolves the target region, and verifies available SKU capacity across accounts before initiating the provisioning workflow.