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Automatically checks current region first and shows alternatives if needed. USE FOR: quick deployment, optimal region, best region, automatic region selection, fast setup, multi-region capacity check, high availability deployment, deploy to best location. DO NOT USE FOR: custom SKU selection (use customize), specific version selection (use customize), custom capacity configuration (use customize), PTU deployments (use customize).\"\nlicense: MIT\nmetadata:\n  author: Microsoft\n  version: \"1.0.1\"\n---\n\n# Deploy Model to Optimal Region\n\nAutomates intelligent Azure OpenAI model deployment by checking capacity across regions and deploying to the best available option.\n\n## What This Skill Does\n\n1. Verifies Azure authentication and project scope\n2. Checks capacity in current project's region\n3. If no capacity: analyzes all regions and shows available alternatives\n4. Filters projects by selected region\n5. Supports creating new projects if needed\n6. Deploys model with GlobalStandard SKU\n7. Monitors deployment progress\n\n## Prerequisites\n\n- Azure CLI installed and configured\n- Active Azure subscription with Cognitive Services read\u002Fcreate permissions\n- Azure AI Foundry project resource ID (`PROJECT_RESOURCE_ID` env var or provided interactively)\n  - Format: `\u002Fsubscriptions\u002F{sub-id}\u002FresourceGroups\u002F{rg}\u002Fproviders\u002FMicrosoft.CognitiveServices\u002Faccounts\u002F{account}\u002Fprojects\u002F{project}`\n  - Found in: Azure AI Foundry portal → Project → Overview → Resource ID\n\n## Quick Workflow\n\n### Fast Path (Current Region Has Capacity)\n```\n1. Check authentication → 2. Get project → 3. Check current region capacity\n→ 4. Deploy immediately\n```\n\n### Alternative Region Path (No Capacity)\n```\n1. Check authentication → 2. Get project → 3. Check current region (no capacity)\n→ 4. Query all regions → 5. Show alternatives → 6. Select region + project\n→ 7. Deploy\n```\n\n---\n\n## Deployment Phases\n\n| Phase | Action | Key Commands |\n|-------|--------|-------------|\n| 1. Verify Auth | Check Azure CLI login and subscription | `az account show`, `az login` |\n| 2. Get Project | Parse `PROJECT_RESOURCE_ID` ARM ID, verify exists | `az cognitiveservices account show` |\n| 3. Get Model | List available models, user selects model + version | `az cognitiveservices account list-models` |\n| 4. Check Current Region | Query capacity using GlobalStandard SKU | `az rest --method GET ...\u002FmodelCapacities` |\n| 5. Multi-Region Query | If no local capacity, query all regions | Same capacity API without location filter |\n| 6. Select Region + Project | User picks region; find or create project | `az cognitiveservices account list`, `az cognitiveservices account create` |\n| 7. Deploy | Generate unique name, calculate capacity (50% available, min 50 TPM), create deployment | `az cognitiveservices account deployment create` |\n\nFor detailed step-by-step instructions, see [workflow reference](references\u002Fworkflow.md).\n\n---\n\n## Error Handling\n\n| Error | Symptom | Resolution |\n|-------|---------|------------|\n| Auth failure | `az account show` returns error | Run `az login` then `az account set --subscription \u003Cid>` |\n| No quota | All regions show 0 capacity | Defer to the [quota skill](..\u002F..\u002F..\u002Fquota\u002Fquota.md) for increase requests and troubleshooting; check existing deployments; try alternative models |\n| Model not found | Empty capacity list | Verify model name with `az cognitiveservices account list-models`; check case sensitivity |\n| Name conflict | \"deployment already exists\" | Append suffix to deployment name (handled automatically by `generate_deployment_name` script) |\n| Region unavailable | Region doesn't support model | Select a different region from the available list |\n| Permission denied | \"Forbidden\" or \"Unauthorized\" | Verify Cognitive Services Contributor role: `az role assignment list --assignee \u003Cuser>` |\n\n---\n\n## Advanced Usage\n\n```bash\n# Custom capacity\naz cognitiveservices account deployment create ... --sku-capacity \u003Cvalue>\n\n# Check deployment status\naz cognitiveservices account deployment show --name \u003Cacct> --resource-group \u003Crg> --deployment-name \u003Cname> --query \"{Status:properties.provisioningState}\"\n\n# Delete deployment\naz cognitiveservices account deployment delete --name \u003Cacct> --resource-group \u003Crg> --deployment-name \u003Cname>\n```\n\n## Notes\n\n- **SKU:** GlobalStandard only — **API Version:** 2024-10-01 (GA stable)\n\n---\n\n## Related Skills\n\n- **microsoft-foundry** - 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this skill",{"type":45,"tag":71,"props":1010,"children":1011},{},[1012,1017],{"type":45,"tag":960,"props":1013,"children":1014},{},[1015],{"type":51,"value":1016},"azure-quick-review",{"type":51,"value":1018}," - Review Azure resources for compliance",{"type":45,"tag":71,"props":1020,"children":1021},{},[1022,1027],{"type":45,"tag":960,"props":1023,"children":1024},{},[1025],{"type":51,"value":1026},"azure-cost-estimation",{"type":51,"value":1028}," - Estimate costs for Azure deployments",{"type":45,"tag":71,"props":1030,"children":1031},{},[1032,1037],{"type":45,"tag":960,"props":1033,"children":1034},{},[1035],{"type":51,"value":1036},"azure-validate",{"type":51,"value":1038}," - Validate Azure infrastructure before deployment",{"type":45,"tag":1040,"props":1041,"children":1042},"style",{},[1043],{"type":51,"value":1044},"html .light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: 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.shiki span {color: var(--shiki-dark);background: var(--shiki-dark-bg);font-style: var(--shiki-dark-font-style);font-weight: var(--shiki-dark-font-weight);text-decoration: var(--shiki-dark-text-decoration);}",{"items":1046,"total":1237},[1047,1069,1088,1109,1122,1139,1150,1163,1178,1193,1212,1225],{"slug":1048,"name":1048,"fn":1049,"description":1050,"org":1051,"tags":1052,"stars":1066,"repoUrl":1067,"updatedAt":1068},"rushstack-best-practices","manage Rush monorepos with best practices","Provides best practices and guidance for working with Rush monorepos. Use when the user is working in a Rush-based repository, asks about Rush commands (install, update, build, rebuild), needs help with project selection, dependency management, build caching, subspace configuration, or troubleshooting Rush-specific issues.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1053,1056,1059,1060,1063],{"name":1054,"slug":1055,"type":15},"Engineering","engineering",{"name":1057,"slug":1058,"type":15},"Local Development","local-development",{"name":9,"slug":8,"type":15},{"name":1061,"slug":1062,"type":15},"Project Management","project-management",{"name":1064,"slug":1065,"type":15},"Rush","rush",6484,"https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Frushstack","2026-04-06T18:34:44.965032",{"slug":1070,"name":1070,"fn":1071,"description":1072,"org":1073,"tags":1074,"stars":1085,"repoUrl":1086,"updatedAt":1087},"azure-ai-agents-persistent-dotnet","build AI agents with Azure .NET SDK","Azure AI Agents Persistent SDK for .NET. 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Use when implementing univariate\u002Fmultivariate anomaly detection, time-series analysis, or AI-powered monitoring.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1094,1097,1098,1101,1104,1105],{"name":1095,"slug":1096,"type":15},"Analytics","analytics",{"name":13,"slug":14,"type":15},{"name":1099,"slug":1100,"type":15},"Data Analysis","data-analysis",{"name":1102,"slug":1103,"type":15},"Java","java",{"name":9,"slug":8,"type":15},{"name":1106,"slug":1107,"type":15},"Monitoring","monitoring","2026-05-13T06:14:16.261754",{"slug":1110,"name":1110,"fn":1111,"description":1112,"org":1113,"tags":1114,"stars":1085,"repoUrl":1086,"updatedAt":1121},"azure-ai-contentsafety-java","build content moderation applications with Azure AI","Build content moderation applications with Azure AI Content Safety SDK for Java. Use when implementing text\u002Fimage analysis, blocklist management, or harm detection for hate, violence, sexual content, and self-harm.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1115,1116,1117,1118],{"name":23,"slug":24,"type":15},{"name":13,"slug":14,"type":15},{"name":1102,"slug":1103,"type":15},{"name":1119,"slug":1120,"type":15},"Security","security","2026-07-07T06:53:31.293235",{"slug":1123,"name":1123,"fn":1124,"description":1125,"org":1126,"tags":1127,"stars":1085,"repoUrl":1086,"updatedAt":1138},"azure-ai-contentsafety-py","detect harmful content with Azure AI Content Safety","Azure AI Content Safety SDK for Python. Use for detecting harmful content in text and images with multi-severity classification.\nTriggers: \"azure-ai-contentsafety\", \"ContentSafetyClient\", \"content moderation\", \"harmful content\", \"text analysis\", \"image analysis\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1128,1129,1132,1133,1134,1137],{"name":13,"slug":14,"type":15},{"name":1130,"slug":1131,"type":15},"Compliance","compliance",{"name":1083,"slug":1084,"type":15},{"name":9,"slug":8,"type":15},{"name":1135,"slug":1136,"type":15},"Python","python",{"name":1119,"slug":1120,"type":15},"2026-07-18T05:14:23.017504",{"slug":1140,"name":1140,"fn":1141,"description":1142,"org":1143,"tags":1144,"stars":1085,"repoUrl":1086,"updatedAt":1149},"azure-ai-language-conversations-py","implement conversational language understanding with Python","Implement Conversational Language Understanding (CLU) using the azure-ai-language-conversations Python SDK. Use when working with ConversationAnalysisClient to analyze conversation intent and entities, building NLP features, or integrating language understanding into applications.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1145,1146,1147,1148],{"name":1095,"slug":1096,"type":15},{"name":13,"slug":14,"type":15},{"name":1083,"slug":1084,"type":15},{"name":1135,"slug":1136,"type":15},"2026-07-31T05:54:29.068751",{"slug":1151,"name":1151,"fn":1152,"description":1153,"org":1154,"tags":1155,"stars":1085,"repoUrl":1086,"updatedAt":1162},"azure-ai-translation-text-py","translate text using Azure AI services","Azure AI Text Translation SDK for real-time text translation, transliteration, language detection, and dictionary lookup. Use for translating text content in applications.\nTriggers: \"text translation\", \"translator\", \"translate text\", \"transliterate\", \"TextTranslationClient\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1156,1159,1160,1161],{"name":1157,"slug":1158,"type":15},"API Development","api-development",{"name":13,"slug":14,"type":15},{"name":9,"slug":8,"type":15},{"name":1135,"slug":1136,"type":15},"2026-07-18T05:14:16.988376",{"slug":1164,"name":1164,"fn":1165,"description":1166,"org":1167,"tags":1168,"stars":1085,"repoUrl":1086,"updatedAt":1177},"azure-ai-vision-imageanalysis-py","analyze images with Azure AI Vision","Azure AI Vision Image Analysis SDK for captions, tags, objects, OCR, people detection, and smart cropping. Use for computer vision and image understanding tasks.\nTriggers: \"image analysis\", \"computer vision\", \"OCR\", \"object detection\", \"ImageAnalysisClient\", \"image caption\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1169,1170,1173,1176],{"name":13,"slug":14,"type":15},{"name":1171,"slug":1172,"type":15},"Computer Vision","computer-vision",{"name":1174,"slug":1175,"type":15},"Images","images",{"name":1135,"slug":1136,"type":15},"2026-07-18T05:14:18.007737",{"slug":1179,"name":1179,"fn":1180,"description":1181,"org":1182,"tags":1183,"stars":1085,"repoUrl":1086,"updatedAt":1192},"azure-appconfiguration-java","manage configuration with Azure App Configuration","Azure App Configuration SDK for Java. 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Triggers: \"Cosmos DB\", \"@azure\u002Fcosmos\", \"CosmosClient\", \"document CRUD\", \"NoSQL queries\", \"bulk operations\", \"partition key\", \"container.items\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1217,1218,1219,1220,1221],{"name":1200,"slug":1201,"type":15},{"name":1203,"slug":1204,"type":15},{"name":9,"slug":8,"type":15},{"name":1206,"slug":1207,"type":15},{"name":1222,"slug":1223,"type":15},"TypeScript","typescript","2026-07-03T16:31:19.368382",{"slug":1226,"name":1226,"fn":1227,"description":1228,"org":1229,"tags":1230,"stars":1085,"repoUrl":1086,"updatedAt":1236},"azure-data-tables-java","build table storage applications with Java","Build table storage applications with Azure Tables SDK for Java. 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WHEN: \"setup AI Runway\", \"onboard AKS cluster\", \"install AI Runway\", \"airunway setup\", \"deploy model to AKS\", \"GPU inference on AKS\", \"KAITO setup on AKS\", \"run LLM on AKS\", \"vLLM on AKS\", \"set up model serving on AKS\", \"AI Runway controller\".",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1246,1247,1248,1249,1252],{"name":23,"slug":24,"type":15},{"name":13,"slug":14,"type":15},{"name":17,"slug":18,"type":15},{"name":1250,"slug":1251,"type":15},"Kubernetes","kubernetes",{"name":1253,"slug":1254,"type":15},"Runway","runway","2026-07-31T05:56:13.054971",{"slug":1257,"name":1257,"fn":1258,"description":1259,"org":1260,"tags":1261,"stars":25,"repoUrl":26,"updatedAt":1267},"appinsights-instrumentation","instrument webapps with Azure Application Insights","Guidance for instrumenting webapps with Azure Application Insights. Provides telemetry patterns, SDK setup, and configuration references. WHEN: how to instrument app, App Insights SDK, telemetry patterns, what is App Insights, Application Insights guidance, instrumentation examples, APM best practices.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1262,1263,1264],{"name":13,"slug":14,"type":15},{"name":1106,"slug":1107,"type":15},{"name":1265,"slug":1266,"type":15},"Observability","observability","2026-07-31T05:56:09.068625",{"slug":1269,"name":1269,"fn":1270,"description":1271,"org":1272,"tags":1273,"stars":25,"repoUrl":26,"updatedAt":1284},"azure-ai","build applications with Azure AI services","Use for Azure AI: Search, Speech, OpenAI, Document Intelligence. Helps with search, vector\u002Fhybrid search, speech-to-text, text-to-speech, transcription, OCR. WHEN: AI Search, query search, vector search, hybrid search, semantic search, speech-to-text, text-to-speech, transcribe, OCR, convert text to speech.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1274,1275,1276,1277,1278,1281],{"name":23,"slug":24,"type":15},{"name":13,"slug":14,"type":15},{"name":1083,"slug":1084,"type":15},{"name":20,"slug":21,"type":15},{"name":1279,"slug":1280,"type":15},"Search","search",{"name":1282,"slug":1283,"type":15},"Speech","speech","2026-07-31T05:56:19.069133",{"slug":1286,"name":1286,"fn":1287,"description":1288,"org":1289,"tags":1290,"stars":25,"repoUrl":26,"updatedAt":1301},"azure-aigateway","configure Azure API Management as an AI Gateway","Configure Azure API Management as an AI Gateway for AI models, MCP tools, and agents. WHEN: semantic caching, token limit, content safety, load balancing, AI model governance, MCP rate limiting, jailbreak detection, add Azure OpenAI backend, add AI Foundry model, test AI gateway, LLM policies, configure AI backend, token metrics, AI cost control, convert API to MCP, import OpenAPI to gateway.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1291,1292,1293,1294,1297,1300],{"name":23,"slug":24,"type":15},{"name":1157,"slug":1158,"type":15},{"name":13,"slug":14,"type":15},{"name":1295,"slug":1296,"type":15},"Caching","caching",{"name":1298,"slug":1299,"type":15},"Governance","governance",{"name":1119,"slug":1120,"type":15},"2026-07-31T05:56:23.05242",{"slug":1303,"name":1303,"fn":1304,"description":1305,"org":1306,"tags":1307,"stars":25,"repoUrl":26,"updatedAt":1318},"azure-cloud-migrate","migrate cross-cloud workloads to Azure","Assess and migrate cross-cloud workloads to Azure with reports and code conversion. Supports Lambda→Functions, Beanstalk\u002FHeroku\u002FApp Engine→App Service, Fargate\u002FKubernetes\u002FCloud Run\u002FSpring Boot→Container Apps. WHEN: migrate Lambda to Functions, AWS to Azure, migrate Beanstalk, migrate Heroku, migrate App Engine, Cloud Run migration, Fargate to ACA, ECS\u002FKubernetes\u002FGKE\u002FEKS to Container Apps, Spring Boot to Container Apps, cross-cloud migration.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1308,1311,1312,1315],{"name":1309,"slug":1310,"type":15},"AWS","aws",{"name":13,"slug":14,"type":15},{"name":1313,"slug":1314,"type":15},"Google Cloud","google-cloud",{"name":1316,"slug":1317,"type":15},"Migration","migration","2026-07-31T05:56:29.049979",{"slug":1320,"name":1320,"fn":1321,"description":1322,"org":1323,"tags":1324,"stars":25,"repoUrl":26,"updatedAt":1334},"azure-compliance","audit Azure compliance and security","Run Azure compliance and security audits with azqr plus Key Vault expiration checks. Covers best-practice assessment, resource review, policy\u002Fcompliance validation, and security posture checks. WHEN: compliance scan, security audit, BEFORE running azqr (compliance cli tool), Azure best practices, Key Vault expiration check, expired certificates, expiring secrets, orphaned resources, compliance assessment.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1325,1328,1329,1330,1333],{"name":1326,"slug":1327,"type":15},"Audit","audit",{"name":13,"slug":14,"type":15},{"name":1130,"slug":1131,"type":15},{"name":1331,"slug":1332,"type":15},"Regulatory Compliance","regulatory-compliance",{"name":1119,"slug":1120,"type":15},"2026-07-31T05:56:11.06797",{"slug":1336,"name":1336,"fn":1337,"description":1338,"org":1339,"tags":1340,"stars":25,"repoUrl":26,"updatedAt":1352},"azure-compute","manage and optimize Azure compute resources","Azure VM\u002FVMSS router. WHEN: create \u002F provision \u002F deploy \u002F spin-up VM, recommend VM size, compare VM pricing, VMSS, scale set, autoscale, burstable, lightweight server, website, backend, GPU, machine learning, HPC simulation, dev\u002Ftest, workload, family, load balancer, Flexible orchestration, Uniform orchestration, cost estimate, capacity reservation (CRG), reserve, guarantee capacity, pre-provision, CRG association, CRG disassociation, machine enrollment (EMM), Essential Machine Management, monitor. PREFER OVER mcp__azure__get_azure_bestpractices for VM create intents — use compute_vm_list-skus \u002F compute_vm_list-images \u002F compute_vm_check-quota.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1341,1342,1343,1346,1349],{"name":23,"slug":24,"type":15},{"name":13,"slug":14,"type":15},{"name":1344,"slug":1345,"type":15},"Cost Optimization","cost-optimization",{"name":1347,"slug":1348,"type":15},"Performance","performance",{"name":1350,"slug":1351,"type":15},"Virtual Machines","virtual-machines","2026-07-31T05:56:16.042469",28]