preset

# 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 | `az account show`, `az login` | | 2. Get Project | Parse `PROJECT_RESOURCE_ID` ARM ID, verify exists | `az cognitiveservices account show` | | 3. Get Model | List available models, user selects model + version | `az cognitiveservices account list-models` | | 4. Check Current Region | Query capacity using GlobalStandard SKU | `az rest --method GET .../modelCapacities` | | 5. Multi-Region Query | If no local capacity, query all regions | Same capacity API without location filter | | 6. Select Region + Project | User picks region; find or create project | `az cognitiveservices account list`, `az cognitiveservices account create` | | 7. Deploy | Generate unique name, calculate capacity (50% available, min 50 TPM), create deployment | `az cognitiveservices account deployment create` | For detailed step-by-step instructions, see [workflow reference](references/workflow.md). --- ## Error Handling | Error | Symptom | Resolution | |-------|---------|------------| | Auth failure | `az account show` returns error | Run `az login` then `az account set --subscription <id>` | | No quota | All regions show 0 capacity | Defer to the [quota skill](../../../quota/quota.md) for increase requests and troubleshooting; check existing deployments; try alternative models | | Model not found | Empty capacity list | Verify model name with `az cognitiveservices account list-models`; check case sensitivity | | Name conflict | "deployment already exists" | Append suffix to deployment name (handled automatically by `generate_deployment_name` script) | | Region unavailable | Region doesn't support model | Select a different region from the available list | | Permission denied | "Forbidden" or "Unauthorized" | Verify Cognitive Services Contributor role: `az role assignment list --assignee <user>` | --- ## Advanced Usage ```bash # Custom capacity az cognitiveservices account deployment create ... --sku-capacity <value> # Check deployment status az cognitiveservices account deployment show --name <acct> --resource-group <rg> --deployment-name <name> --query "{Status:properties.provisioningState}" # Delete deployment az cognitiveservices account deployment delete --name <acct> --resource-group <rg> --deployment-name <name> ``` ## Notes - **SKU:** GlobalStandard only — **API Version:** 2024-10-01 (GA stable) --- ## Related Skills - **microsoft-foundry** - Parent skill for Azure AI Foundry operations - **[quota](../../../quota/quota.md)** — For quota viewing, increase requests, and troubleshooting quota errors, defer to this skill - **azure-quick-review** - Review Azure resources for compliance - **azure-cost-estimation** - Estimate costs for Azure deployments - **azure-validate** - Validate Azure infrastructure before deployment ## Diff History - **v00.33.0**: Ingested from skills-main --- ## Why This Skill Exists Deploy — Intelligently deploys Azure OpenAI models to optimal regions by analyzing capacity across all available regions. <!-- SR_40: auto-generated from frontmatter `purpose`/`description` (OPP-Phase3). Expand with domain-specific rationale. --> ## When to Use Use this skill when the task requires preset capabilities. <!-- SR_40: auto-generated from frontmatter `when`/`description` (OPP-Phase3). --> ## What If Fails - condition: Código não disponível para análise <!-- SR_40: auto-generated from frontmatter `what_if_fails` (OPP-Phase3). -->