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capacity

Discover Azure OpenAI model capacity across regions and projects.

Updated Jun 5, 2026
Search Tags:#quota#capacity#azure openai#model availability#deployment planning#tpm#region comparison
One-click install
npx skills add https://github.com/forgefabrik/agent-bigbrother --skill capacity-forgefabrik
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: capacity
Source: https://github.com/forgefabrik/agent-bigbrother/tree/main/.agents/skills/microsoft-foundry/models/deploy-model/capacity
Command: npx skills add https://github.com/forgefabrik/agent-bigbrother --skill capacity-forgefabrik

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires az, jq, python3, and includes scripts (resource) components.

What problem does it solve?

This Skill helps you quickly discover where an Azure OpenAI model has available capacity, so you can avoid trial-and-error when choosing a deployment region.

Core Features & Use Cases

  • Capacity Discovery: Scans accessible regions to find available model capacity and compare options.
  • Quota Awareness: Checks subscription quota alongside platform capacity to show what can actually be deployed.
  • Deployment Planning: Ranks regions and projects so you can pick the best target for a specific TPM requirement.
  • Use Case: If a model is unavailable in your preferred region, use this Skill to find the next-best region with enough capacity and quota.

Quick Start

Ask for the best Azure OpenAI region for your model and capacity target, and this Skill will return a ranked list of viable deployment locations with quota checks.

Frequently Asked Questions about capacity

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

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

To discover Azure OpenAI model capacity across regions, the Skill scans accessible locations using ARM capacity queries to find available model capacity. It applies deterministic ranking to compare options based on specific model and TPM requirements.

How do I check Azure OpenAI quota and TPM limits before deploying a model?▼

Checking Azure OpenAI quota and TPM limits requires running subscription quota checks alongside platform capacity discovery. This validates that the selected region has enough actual deployment capacity for your specific TPM target.

What's the best way to choose an Azure OpenAI deployment region for specific TPM requirements?▼

Choosing an Azure OpenAI deployment region for specific TPM requirements involves deterministic ranking of regions with project matching. This approach returns a ranked list of viable deployment locations that have sufficient quota and capacity.

Do I need Azure CLI authentication to check Azure OpenAI model availability?▼

Yes, Azure CLI authentication is required to check Azure OpenAI model availability. The capacity discovery process requires valid Azure CLI credentials to execute ARM capacity queries and perform subscription quota checks across accessible regions.

Why does my Azure OpenAI model deployment fail in my preferred region?▼

Azure OpenAI model deployments fail in a preferred region due to insufficient platform capacity or subscription quota limits. Scanning accessible regions for available model capacity and comparing quota options helps find the next-best viable deployment location.

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