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# Deploy Model to Optimal Region Automates intelligent Azure OpenAI model deployment by checking capacity across regions and deploying to the best available option. ## What This Skill Does 1. Verifies Azure authentication and project scope 2. Checks capacity in current project's region 3. If no capacity: analyzes all regions and shows available alternatives 4. Filters projects by selected region 5. Supports creating new projects if needed 6. Deploys model with GlobalStandard SKU 7. Monitors deployment progress ## Prerequisites - Azure CLI installed and configured - Active Azure subscription with Cognitive Services read/create permissions - Azure AI Foundry project resource ID (`PROJECT_RESOURCE_ID` env var or provided interactively) - Format: `/subscriptions/{sub-id}/resourceGroups/{rg}/providers/Microsoft.CognitiveServices/accounts/{account}/projects/{project}` - Found in: Azure AI Foundry portal → Project → Overview → Resource ID ## Quick Workflow ### Fast Path (Current Region Has Capacity) ``` 1. Check authentication → 2. Get project → 3. Check current region capacity → 4. Deploy immediately ``` ### Alternative Region Path (No Capacity) ``` 1. Check authentication → 2. Get project → 3. Check current region (no capacity) → 4. Query all regions → 5. Show alternatives → 6. Select region + project → 7. Deploy ``` --- ## Deployment Phases | Phase | Action | Key Commands | |-------|--------|-------------| | 1. Verify Auth | Check Azure CLI login and subscription |