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capacity

Analyze Azure OpenAI model capacity and quota limits across regions and projects.

Updated Feb 10, 2026
Search Tags:#OpenAI#Azure#model capacity#quota analysis#deployment location
One-click install
npx skills add https://github.com/ammonfife/sakima.co --skill capacity-ammonfife
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: capacity
Source: https://github.com/ammonfife/sakima.co/tree/main/.claude/skills/microsoft-foundry/models/deploy-model/capacity
Command: npx skills add https://github.com/ammonfife/sakima.co --skill capacity-ammonfife

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires az, and includes scripts (resource) components.

What problem does it solve?

This Skill addresses the challenge of finding the available Azure OpenAI model capacity across regions and projects, analyzing quota limits, and recommending the best deployment locations based on capacity requirements.

Core Features & Use Cases

  • Capacity Discovery: Finds available Azure OpenAI model capacity across all accessible regions and projects.
  • Quota Analysis: Analyzes quota limits for each region and project.
  • Optimal Deployment Recommendations: Recommends the best deployment location based on capacity requirements.
  • Use Case: For example, if a user wants to deploy a gpt-4o model with a capacity of 10K TPM, this Skill can identify the optimal region and project with available capacity.

Quick Start

Use the capacity skill to discover available Azure OpenAI model capacity and recommended deployment locations.

Frequently Asked Questions about capacity

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

FAQPage Schema
How do I check Azure OpenAI model capacity across regions?▼

To check Azure OpenAI model capacity, this Skill discovers available capacity across accessible projects and analyzes quota limits to recommend optimal deployment locations. It requires Azure CLI for authentication and API access.

What's the best way to find available quota for a specific Azure OpenAI model?▼

The best way to find available quota is using this Skill to analyze quota limits across accessible regions and projects, identifying available capacity for specific models based on your required TPM capacity.

Do I need Azure CLI to analyze OpenAI quota limits?▼

Yes, you need Azure CLI installed and authenticated to analyze OpenAI quota limits. The Skill relies on Azure CLI for API access to retrieve model availability and quota status across regions.

Can I get deployment location recommendations for Azure OpenAI models?▼

Yes, you can get deployment location recommendations for Azure OpenAI models. The Skill recommends optimal deployment locations based on your capacity requirements by identifying regions with sufficient quotas.

How does quota analysis work for Azure OpenAI model deployments?▼

Quota analysis for Azure OpenAI model deployments works by scanning accessible regions and projects to evaluate quota limits against your required capacity, ensuring the selected location supports your deployment needs.

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