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deploy-model

Route deployment prompts to Azure OpenAI preset, customize, or capacity flows.

66|41|Updated Mar 4, 2026
Search Tags:#deployment#routing#capacity#preset#customize#azure-openai
One-click install
npx skills add https://github.com/olivomarco/vbd-copilot --skill deploy-model-olivomarco
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: deploy-model
Source: https://github.com/olivomarco/vbd-copilot/tree/main/skills/microsoft-foundry/models/deploy-model
Command: npx skills add https://github.com/olivomarco/vbd-copilot --skill deploy-model-olivomarco

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This deployment skill unifies Azure OpenAI model deployments by analyzing user intent and routing prompts to the appropriate deployment mode (Preset, Customize, or Capacity) to streamline setup and governance.

Core Features & Use Cases

  • Intent-driven routing to Preset, Customize, or Capacity modes based on user prompts.
  • End-to-end deployment orchestration including project selection, capacity discovery, region qualification, and deployment creation.
  • Supports automatic region optimization, full customization, and capacity-based deployment via multi-region discovery.
  • Use cases: quick HA deployments, production-grade custom configurations, and capacity-first deployments across Azure regions.

Quick Start

Prompt the system with a simple deployment request to trigger the appropriate routing to preset, customize, or capacity flow and execute the deployment.

Frequently Asked Questions about deploy-model

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I automate Azure OpenAI deployments across multiple regions?▼

Intent-driven routing analyzes your prompt to select preset, customize, or capacity deployment flows. It uses Azure CLI and MCP REST APIs to validate quotas, query capacities, and execute deployments.

How do I check Azure OpenAI capacity and quotas before deploying a model?▼

Check Azure OpenAI capacity by triggering the capacity routing mode. It queries region capacities and AI Foundry projects via MCP REST APIs to validate quotas before deployment.

What is the best way to customize an Azure OpenAI production deployment configuration?▼

The best way to customize an Azure OpenAI production deployment is by triggering the customize routing mode. This flow supports full configuration including region optimization and pre-deployment validation.

Do I need Azure CLI to deploy Azure OpenAI models with capacity discovery?▼

Yes, Azure CLI is required. The deployment process uses Azure CLI and MCP REST APIs to validate quotas, query region capacities, create deployments, and monitor provisioning status.

Can I deploy a highly available Azure OpenAI model quickly without manual configuration?▼

Yes, you can deploy highly available Azure OpenAI models quickly using the preset routing mode. This flow streamlines setup for quick HA deployments without full manual customization.

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