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capacity

Rank Azure regions by available capacity for Azure OpenAI model deployment.

Updated Feb 20, 2026
Search Tags:#azure#openai#capacity planning#cloud services#deployment location
One-click install
npx skills add https://github.com/anishi1222/multi-agent-code-reviewer --skill capacity-anishi1222
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: capacity
Source: https://github.com/anishi1222/multi-agent-code-reviewer/tree/main/.agents/skills/microsoft-foundry/models/deploy-model/capacity
Command: npx skills add https://github.com/anishi1222/multi-agent-code-reviewer --skill capacity-anishi1222

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) components.

What problem does it solve?

Helps users identify where they can deploy Azure OpenAI models with available capacity, comparing regional and project-based quota limits.

Core Features & Use Cases

  • Capacity Discovery: Provides a ranked list of regions and projects with available model capacity, suitable for finding the best deployment location.
  • Quota Analysis: Compares and evaluates model availability, ensuring the user meets the necessary capacity requirements.
  • Customization & Deployment: After discovery, provides options for customization and actual deployment via preset or customize paths.

Quick Start

To get started, execute: .\scripts/discover_and_rank.ps1 -ModelName <model-name> -ModelVersion <version> -MinCapacity <target>

Frequently Asked Questions about capacity

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

FAQPage Schema
How do I find available Azure OpenAI capacity across regions?▼

To find available Azure OpenAI capacity, this Skill queries Microsoft's Cognitive Services APIs to output a ranked table of regions with sufficient model capacity based on your subscription quotas.

Can I target a specific model version and minimum capacity for Azure OpenAI deployment?▼

Yes, you can specify both the exact model version and a target minimum capacity. The script filters and ranks regions that meet your specified capacity requirements for the chosen Azure OpenAI model version.

Do I need Azure CLI login to check OpenAI model capacity?▼

Yes, an active Azure CLI login is required. The Skill utilizes your authenticated Azure session to access Microsoft's Cognitive Services APIs and retrieve accurate capacity data for your subscription.

What's the best way to compare regional quotas for Azure OpenAI deployments?▼

The best way to compare regional quotas is using the capacity discovery script, which evaluates and ranks regions by available model capacity, ensuring you meet necessary deployment requirements before choosing a location.

How do I deploy an Azure OpenAI model after finding a region with capacity?▼

After finding a region with capacity, you can proceed with deployment through the provided preset or customize paths, allowing further configuration and actual deployment of the Azure OpenAI model.

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