Capacity Discovery

Finds available Azure OpenAI model capacity across all accessible regions and projects. Recommends the best deployment location based on capacity requirements.

Quick Reference

Property	Description
Purpose	Find where you can deploy a model with sufficient capacity
Scope	All regions and projects the user has access to
Output	Ranked table of regions/projects with available capacity
Action	Read-only analysis — does NOT deploy. Hands off to preset or customize
Authentication	Azure CLI (az login)

When to Use This Skill

• ✅ User asks "where can I deploy gpt-4o?"
• ✅ User specifies a capacity target: "find a region with 10K TPM for gpt-4o"
• ✅ User wants to compare availability: "which regions have gpt-4o available?"
• ✅ User got a quota error and needs to find an alternative location
• ✅ User asks "best region and project for deploying model X"

After discovery → hand off to preset or customize for actual deployment.

Scripts

Pre-built scripts handle the complex REST API calls and data processing. Use these instead of constructing commands manually.

Script	Purpose	Usage
scripts/discover_and_rank.ps1	Full discovery: capacity + projects + ranking	Primary script for capacity discovery
scripts/discover_and_rank.sh	Same as above (bash)	Primary script for capacity discovery
scripts/query_capacity.ps1	Raw capacity query (no project matching)	Quick capacity check or version listing
scripts/query_capacity.sh	Same as above (bash)	Quick capacity check or version listing

Workflow

Phase 1: Validate Prerequisites

az account show --query "{Subscription:name, SubscriptionId:id}" --output table

Phase 2: Identify Model and Version

Extract model name from user prompt. If version is unknown, query available versions: