deploy-model

Topics in the source

• Deploy Model
• Quick Reference
• Intent Detection
• Routing Rules
• Multi-Mode Chaining
• Project Selection (All Modes)
• Resolution Order
• Confirmation Step (Required)

Scope — read this first. This skill creates model deployments out-of-band via Azure CLI / MCP / portal. For azd-managed Foundry projects (those scaffolded from azd ai agent init), declare deployments in azure.yaml services.ai-project.deployments[] instead — azd ai agent init writes the entry from the sample manifest and azd provision creates the deployment through Bicep. See foundry-agent/create/create-hosted.md for the Golden Path. Use this skill only for: (a) Foundry projects not managed by an azd project, (b) ad-hoc deployments outside the azd lifecycle. Unified entry point for all Azure OpenAI model deployment workflows. Analyzes user intent and routes to the appropriate deployment mode. | Mode | When to Use | Sub-Skill | |------|-------------|-----------| | Preset | Quick deployment, no customization needed | preset/SKILL.md | | Customize | Full control: version, SKU, capacity, RAI policy | customize/SKILL.md | | Capacity Discovery | Find where you can deploy with specific capacity | capacity/SKILL.md | Analyze the user's prompt and route to the correct mode: | Signal in Prompt | Route To | Reason | |------------------|----------|--------| | Just model name, no options | Prese

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