preset
Intelligently deploys Azure OpenAI models to optimal regions by analyzing capacity across all available regions. Automatically checks current region first and shows alternatives if needed. USE FOR: quick deployment, optimal region, best region, automatic region selection, fast setup, multi-region capacity check, high availability deployment, deploy to best location. DO NOT USE FOR: custom SKU selection (use customize), specific version selection (use customize), custom capacity configuration (use customize), PTU deployments (use customize).
Target: Cloud, operations & security. Automatically collected · unverified.
Excerpt from the author’s documentation
Extracted from a fixed version of SKILL.md in its original language. This is the author’s documentation; installation, compatibility and runtime results have not been verified by this site.
Read the original English text
Topics in the source
- Deploy Model to Optimal Region
- What This Skill Does
- Prerequisites
- Quick Workflow
- Fast Path (Current Region Has Capacity)
- Alternative Region Path (No Capacity)
- Deployment Phases
- Error Handling
Automates intelligent Azure OpenAI model deployment by checking capacity across regions and deploying to the best available option. 1. Verifies Azure authentication and project scope 2. Checks capacity in current project's region 3. If no capacity: analyzes all regions and shows available alternatives 4. Filters projects by selected region 5. Supports creating new projects if needed 6. Deploys model with GlobalStandard SKU 7. Monitors deployment progress Azure CLI installed and configured Active Azure subscription with Cognitive Services read/create permissions Microsoft Foundry project resource ID (PROJECTRESOURCEID env var or provided interactively) Format: /subscriptions/{sub-id}/resourceGroups/{rg}/providers/Microsoft.CognitiveServices/accounts/{account}/projects/{project} Found in: Microsoft Foundry portal → Project → Overview → Resource ID -- | Phase | Action | Key Commands | |-------|--------|-------------| | 1. Verify Auth | Check Azure CLI login and subscription | az account show, az login | | 2. Get Project | Parse PROJECTRESOURCEID ARM ID, verify exists | az cognitiveservices account show | | 3. Get Model | List available models, user selects model + version | az cogniti
This is an excerpt. Refer to the complete source and its current requirements.
- Source repository
- microsoft/skills
- Source file
- .github/plugins/azure-skills/skills/microsoft-foundry/models/deploy-model/preset/SKILL.md
- Fixed revision
- 18e05b845d43e869b5701d796abce6e9a49e57db
Sources and evidence
This record was collected automatically. Its documentation, suitability and runtime behavior have not been manually verified.
Author: Microsoft Skills · original repository metadata. Documentation review: Not reviewed. Last source check: 2026-11-10T00:00:24.800Z.
Categories are inferred from names, descriptions and paths. They do not establish compatibility.
License and attribution
MIT. Third-party content and copyright remain with their authors. Refer to the original license and terms.
Original license ↗Synchronization, copying and user-reported success do not mark a resource as runtime-tested.
Limitations and notes
- Collecting metadata does not mean this site has installed, adapted, runtime-tested or security-reviewed the resource.