preset
preset automates Azure OpenAI model deployment by scanning capacity across regions and routing to the best available option. It checks your current region first, then surfaces alternatives if needed, and handles project selection or creation as part of the workflow.
preset deploys your Azure OpenAI model to whichever region has the best available capacity.
AI-generated summary based on this skill's SKILL.md
Decision gist · record as of 2026-07-26
preset deploys your Azure OpenAI model to whichever region has the best available capacity. preset automates Azure OpenAI model deployment by scanning capacity across regions and routing to the best available option. It checks your current region first, then surfaces alternatives if needed, and handles project selection or creation as part of the workflow.
Use it when
- Yes.
- preset checks capacity across Azure regions and automatically surfaces alternative regions when your preferred location is unavailable.
Verify before relying
Read SKILL.md below before installing (4 files). Open directory: indexed for reading, not audited.
Install
microsoft/azure-skills/preset · repository language: Python
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Frequently asked questions
AI-generated answers based on this skill's SKILL.md and metadata
How does preset deploy Azure OpenAI to the best region?
preset automates Azure OpenAI model deployment by scanning capacity across all Azure regions and routing your model to the best available option. It checks your current region first, then surfaces alternatives if needed, and handles project selection or creation as part of the workflow.
Can preset find optimal region for OpenAI model deployment?
Yes. preset automatically finds and selects the optimal Azure region for your OpenAI model by checking capacity across all regions. It prioritizes your current region, then identifies the next best alternatives if capacity is constrained, enabling hands-off deployment without manual region hunting.
What happens if my preferred region lacks OpenAI capacity?
preset checks capacity across Azure regions and automatically surfaces alternative regions when your preferred location is unavailable. This fallback mechanism ensures your model deploys quickly to a region with available capacity rather than failing or requiring manual intervention.
Does preset handle project selection during deployment?
Yes. preset handles project selection or creation as part of the deployment workflow. Once it identifies the optimal region with available capacity, it manages the project setup automatically, streamlining the entire Azure OpenAI deployment process.
How can I check OpenAI region capacity with preset?
preset scans capacity across all Azure regions for OpenAI models and displays current availability. You can verify your current region's capacity and see alternative regions if needed, giving you visibility into where your model can deploy successfully.
SKILL.md
Rendered from the published skill. Quoted content, verbatim.
Deploy Model to Optimal Region
Automates intelligent Azure OpenAI model deployment by checking capacity across regions and deploying to the best available option.
What This Skill Does
- Verifies Azure authentication and project scope
- Checks capacity in current project's region
- If no capacity: analyzes all regions and shows available alternatives
- Filters projects by selected region
- Supports creating new projects if needed
- Deploys model with GlobalStandard SKU
- Monitors deployment progress
Prerequisites
- Azure CLI
(truncated - see the full file via the links below)
File tree — 4 files
skills/microsoft-foundry/models/deploy-model/preset/EXAMPLES.md
skills/microsoft-foundry/models/deploy-model/preset/SKILL.md
skills/microsoft-foundry/models/deploy-model/preset/references/preset-workflow.md
skills/microsoft-foundry/models/deploy-model/preset/references/workflow.md
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