deploy-model

Solid

Unified Azure OpenAI model deployment skill with intelligent intent-based routing. Handles quick preset deployments, fully customized deployments (version/SKU/capacity/RAI policy), and capacity discovery across regions and projects. USE FOR: deploy model, deploy gpt, create deployment, model deployment, deploy openai model, set up model, provision model, find capacity, check model availability, where can I deploy, best region for model, capacity analysis. DO NOT USE FOR: listing existing deployments (use foundry_models_deployments_list MCP tool), deleting deployments, agent creation (use agent/create), project creation (use project/create).

AI & Automation 607 stars 93 forks Updated 1 months ago MIT

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Quality Score: 95/100

Stars 20%
93
Recency 20%
75
Frontmatter 20%
70
Documentation 15%
100
Issue Health 10%
50
License 10%
100
Description 5%
100

Skill Content

# Deploy Model Unified entry point for all Azure OpenAI model deployment workflows. Analyzes user intent and routes to the appropriate deployment mode. ## Quick Reference | Mode | When to Use | Sub-Skill | |------|-------------|-----------| | **Preset** | Quick deployment, no customization needed | [preset/SKILL.md](preset/SKILL.md) | | **Customize** | Full control: version, SKU, capacity, RAI policy | [customize/SKILL.md](customize/SKILL.md) | | **Capacity Discovery** | Find where you can deploy with specific capacity | [capacity/SKILL.md](capacity/SKILL.md) | ## Intent Detection Analyze the user's prompt and route to the correct mode: ``` User Prompt │ ├─ Simple deployment (no modifiers) │ "deploy gpt-4o", "set up a model" │ └─> PRESET mode │ ├─ Customization keywords present │ "custom settings", "choose version", "select SKU", │ "set capacity to X", "configure content filter", │ "PTU deployment", "with specific quota" │ └─> CUSTOMIZE mode │ ├─ Capacity/availability query │ "find where I can deploy", "check capacity", │ "which region has X capacity", "best region for 10K TPM", │ "where is this model available" │ └─> CAPACITY DISCOVERY mode │ └─ Ambiguous (has capacity target + deploy intent) "deploy gpt-4o with 10K capacity to best region" └─> CAPACITY DISCOVERY first → then PRESET or CUSTOMIZE ``` ### Routing Rules | Signal in Prompt | Route To | Reason | |--------------...

Details

Author
microsoft
Repository
microsoft/azure-skills
Created
3 months ago
Last Updated
1 months ago
Language
Bicep
License
MIT

Integrates with

OpenAI · AI Azure · Cloud Model Context Protocol · AI

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