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智能选择 Azure OpenAI 最佳可用区域并快速完成部署
复制安装指令，让 AI 自动完成配置 · 推荐新手
请帮我安装 askskill 上的 "preset" 技能： 1. 下载 https://raw.githubusercontent.com/microsoft/GitHub-Copilot-for-Azure/main/plugin/skills/microsoft-foundry/models/deploy-model/preset/SKILL.md 2. 保存为 ~/.claude/skills/preset/SKILL.md 3. 装好后重载技能，告诉我可以用了
请使用 preset 帮我部署一个 Azure OpenAI 模型，自动检查当前区域容量，并在容量不足时推荐可用的最佳区域。
返回已选择的最佳部署区域，并完成或准备好快速部署说明。
帮我用 preset 检查 Azure OpenAI 在所有可用区域的容量情况，优先当前区域，如果不行就给出几个最佳备选区域。
输出当前区域是否可用，以及按优先级排序的替代区域建议。
我想尽快上线 Azure OpenAI 服务，请用 preset 自动选择容量充足且适合高可用部署的区域。
给出适合快速上线和高可用的区域选择结果，并说明可直接部署。
Automates intelligent Azure OpenAI model deployment by checking capacity across regions and deploying to the best available option.
PROJECT_RESOURCE_ID env var or provided interactively)
/subscriptions/{sub-id}/resourceGroups/{rg}/providers/Microsoft.CognitiveServices/accounts/{account}/projects/{project}1. Check authentication → 2. Get project → 3. Check current region capacity
→ 4. Deploy immediately
1. Check authentication → 2. Get project → 3. Check current region (no capacity)
→ 4. Query all regions → 5. Show alternatives → 6. Select region + project
→ 7. Deploy
| Phase | Action | Key Commands |
|---|---|---|
| 1. Verify Auth | Check Azure CLI login and subscription | az account show, az login |
| 2. Get Project | Parse PROJECT_RESOURCE_ID ARM ID, verify exists | az cognitiveservices account show |
| 3. Get Model | List available models, user selects model + version | az cognitiveservices account list-models |
| 4. Check Current Region | Query capacity using GlobalStandard SKU | az rest --method GET .../modelCapacities |
| 5. Multi-Region Query | If no local capacity, query all regions | Same capacity API without location filter |
| 6. Select Region + Project | User picks region; find or create project | az cognitiveservices account list, az cognitiveservices account create |
| 7. Deploy | Generate unique name, calculate capacity (50% available, min 50 TPM), create deployment | az cognitiveservices account deployment create |
For detailed step-by-step instructions, see workflow reference.
| Error | Symptom | Resolution |
|---|---|---|
| Auth failure | az account show returns error | Run az login then az account set --subscription <id> |
| No quota | All regions show 0 capacity | Defer to the quota skill for increase requests and troubleshooting; check existing deployments; try alternative models |
| Model not found | Empty capacity list | Verify model name with az cognitiveservices account list-models; check case sensitivity |
| Name conflict | "deployment already exists" | Append suffix to deployment name (handled automatically by generate_deployment_name script) |
| Region unavailable | Region doesn't support model | Select a different region from the available list |
| Permission denied | "Forbidden" or "Unauthorized" | Verify Cognitive Services Contributor role: az role assignment list --assignee <user> |
# Custom capacity
az cognitiveservices account deployment create ... --sku-capacity <value>
# Check deployment status
az cognitiveservices account deployment show --name <acct> --resource-group <rg> --deployment-name <name> --query "{Status:properties.provisioningState}"
# Delete deployment
az cognitiveservices account deployment delete --name <acct> --resource-group <rg> --deployment-name <name>
…
分析并精简 Markdown 内容，降低 token 消耗并提升 AI 处理效率。
帮助你跨区域与项目查询 Azure OpenAI 容量配额并推荐最佳部署位置