Examples: preset
Example 1: Fast Path — Current Region Has Capacity
Scenario: Deploy gpt-4o to project in East US, which has capacity. Result: Deployed in ~45s. No region selection needed. 100K TPM default, GlobalStandard SKU.
Example 2: Alternative Region — No Capacity in Current Region
Scenario: Deploy gpt-4-turbo to dev project in West US 2 (no capacity). Result: Queried all regions → user selected East US 2 (120K available) → deployed in ~2 min.
Example 3: Create New Project in Optimal Region
Scenario: Deploy gpt-4o-mini in Europe for data residency; no existing European project. Result: Created AI Services hub + project in Sweden Central → deployed in ~4 min with 150K TPM.
Example 4: Insufficient Quota Everywhere
Scenario: Deploy gpt-4 but all regions have exhausted quota. Result: Graceful failure with actionable guidance:
- Request quota increase via the quota skill
- List existing deployments consuming quota
- Suggest alternative models (gpt-4o, gpt-4o-mini)
Example 5: First-Time User — No Project
Scenario: Deploy gpt-4o with no existing Microsoft Foundry project. Result: Full onboarding in ~5 min — created resource group, AI Services hub, project, then deployed.
Example 6: Deployment Name Conflict
Scenario: Auto-generated deployment name already exists.
Result: Appended random hex suffix (e.g., -7b9e) and retried automatically.
Example 7: Multi-Version Model Selection
Scenario: Deploy "latest gpt-4o" when multiple versions exist. Result: Latest stable version auto-selected. Capacity aggregated across versions.
Example 8: Anthropic Model (claude-sonnet-4-6)
Scenario: Deploy claude-sonnet-4-6 (Anthropic model requiring modelProviderData).
Result: User prompted for industry selection → tenant country code and org name fetched automatically → deployed via ARM REST API with modelProviderData payload in ~2 min. Capacity set to 1 (MaaS billing).
Summary of Scenarios
| Scenario | Duration | Key Features |
|---|---|---|
| 1: Fast Path | ~45s | Current region has capacity, direct deploy |
| 2: Alt Region | ~2m | Region selection, project switch |
| 3: New Project | ~4m | Project creation in optimal region |
| 4: No Quota | N/A | Graceful failure, actionable guidance |
| 5: First-Time | ~5m | Complete onboarding |
| 6: Name Conflict | ~1m | Auto-retry with suffix |
| 7: Multi-Version | ~1m | Latest version auto-selected |
| 8: Anthropic | ~2m | Industry prompt, tenant info, REST API deploy |
Common Patterns
A: Quick Deploy Auth → Get Project → Check Region (✓) → Deploy
B: Region Select Auth → Get Project → Region (✗) → Query All → Select → Deploy
C: Full Onboarding Auth → No Projects → Create Project → Deploy
D: Error Recovery Deploy (✗) → Analyze → Fix → Retry