customizelisted

# Customize Model Deployment Interactive guided workflow for deploying Azure OpenAI models with full customization control over version, SKU, capacity, content filtering, and advanced options. ## Quick Reference | Property | Description | |----------|-------------| | **Flow** | Interactive step-by-step guided deployment | | **Customization** | Version, SKU, Capacity, RAI Policy, Advanced Options | | **SKU Support** | GlobalStandard, Standard, ProvisionedManaged, DataZoneStandard | | **Best For** | Precise control over deployment configuration | | **Authentication** | Azure CLI (`az login`) | | **Tools** | Azure CLI, MCP tools (optional) | ## When to Use This Skill Use this skill when you need **precise control** over deployment configuration: - ✅ **Choose specific model version** (not just latest) - ✅ **Select deployment SKU** (GlobalStandard vs Standard vs PTU) - ✅ **Set exact capacity** within available range - ✅ **Configure content filtering** (RAI policy selection) - ✅ **Enable advanced features** (dynamic quota, priority processing, spillover) - ✅ **PTU deployments** (Provisioned Throughput Units) **Alternative:** Use `preset` for quick deployment to the best available region with automatic configuration. ### Comparison: customize vs preset | Feature | customize | preset | |---------|---------------------|----------------------------| | **Focus** | Full customization control | Optimal region selection | | **Version Selection** | User chooses from available | Use