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Step-by-step selection of model version, SKU (GlobalStandard\u002FStandard\u002FProvisionedManaged), capacity, RAI policy (content filter), and advanced options (dynamic quota, priority processing, spillover). USE FOR: custom deployment, customize model deployment, choose version, select SKU, set capacity, configure content filter, RAI policy, deployment options, detailed deployment, advanced deployment, PTU deployment, provisioned throughput. DO NOT USE FOR: quick deployment to optimal region (use preset).\"\nlicense: MIT\nmetadata:\n  author: Microsoft\n  version: \"1.0.1\"\n---\n\n# Customize Model Deployment\n\nInteractive guided workflow for deploying Azure OpenAI models with full customization control over version, SKU, capacity, content filtering, and advanced options.\n\n## Quick Reference\n\n| Property | Description |\n|----------|-------------|\n| **Flow** | Interactive step-by-step guided deployment |\n| **Customization** | Version, SKU, Capacity, RAI Policy, Advanced Options |\n| **SKU Support** | GlobalStandard, Standard, ProvisionedManaged, DataZoneStandard |\n| **Best For** | Precise control over deployment configuration |\n| **Authentication** | Azure CLI (`az login`) |\n| **Tools** | Azure CLI, MCP tools (optional) |\n\n## When to Use This Skill\n\nUse this skill when you need **precise control** over deployment configuration:\n\n- ✅ **Choose specific model version** (not just latest)\n- ✅ **Select deployment SKU** (GlobalStandard vs Standard vs PTU)\n- ✅ **Set exact capacity** within available range\n- ✅ **Configure content filtering** (RAI policy selection)\n- ✅ **Enable advanced features** (dynamic quota, priority processing, spillover)\n- ✅ **PTU deployments** (Provisioned Throughput Units)\n\n**Alternative:** Use `preset` for quick deployment to the best available region with automatic configuration.\n\n### Comparison: customize vs preset\n\n| Feature | customize | preset |\n|---------|---------------------|----------------------------|\n| **Focus** | Full customization control | Optimal region selection |\n| **Version Selection** | User chooses from available | Uses latest automatically |\n| **SKU Selection** | User chooses (GlobalStandard\u002FStandard\u002FPTU) | GlobalStandard only |\n| **Capacity** | User specifies exact value | Auto-calculated (50% of available) |\n| **RAI Policy** | User selects from options | Default policy only |\n| **Region** | Current region first, falls back to all regions if no capacity | Checks capacity across all regions upfront |\n| **Use Case** | Precise deployment requirements | Quick deployment to best region |\n\n## Prerequisites\n\n- Azure subscription with Cognitive Services Contributor or Owner role\n- Azure AI Foundry project resource ID (format: `\u002Fsubscriptions\u002F{sub}\u002FresourceGroups\u002F{rg}\u002Fproviders\u002FMicrosoft.CognitiveServices\u002Faccounts\u002F{account}\u002Fprojects\u002F{project}`)\n- Azure CLI installed and authenticated (`az login`)\n- Optional: Set `PROJECT_RESOURCE_ID` environment variable\n\n## Workflow Overview\n\n### Complete Flow (14 Phases)\n\n```\n1. Verify Authentication\n2. Get Project Resource ID\n3. Verify Project Exists\n4. Get Model Name (if not provided)\n5. List Model Versions → User Selects\n6. List SKUs for Version → User Selects\n7. Get Capacity Range → User Configures\n   7b. If no capacity: Cross-Region Fallback → Query all regions → User selects region\u002Fproject\n8. List RAI Policies → User Selects\n9. Configure Advanced Options (if applicable)\n10. Configure Version Upgrade Policy\n11. Generate Deployment Name\n12. Review Configuration\n13. Execute Deployment & Monitor\n```\n\n### Fast Path (Defaults)\n\nIf user accepts all defaults (latest version, GlobalStandard SKU, recommended capacity, default RAI policy, standard upgrade policy), deployment completes in ~5 interactions.\n\n---\n\n## Phase Summaries\n\n> ⚠️ **MUST READ:** Before executing any phase, load [references\u002Fcustomize-workflow.md](references\u002Fcustomize-workflow.md) for the full scripts and implementation details. The summaries below describe *what* each phase does — the reference file contains the *how* (CLI commands, quota patterns, capacity formulas, cross-region fallback logic).\n\n| Phase | Action | Key Details |\n|-------|--------|-------------|\n| **1. Verify Auth** | Check `az account show`; prompt `az login` if needed | Verify correct subscription is active |\n| **2. Get Project ID** | Read `PROJECT_RESOURCE_ID` env var or prompt user | ARM resource ID format required |\n| **3. Verify Project** | Parse resource ID, call `az cognitiveservices account show` | Extracts subscription, RG, account, project, region |\n| **4. Get Model** | List models via `az cognitiveservices account list-models` | User selects from available or enters custom name |\n| **5. Select Version** | Query versions for chosen model | Recommend latest; user picks from list |\n| **6. Select SKU** | Query model catalog + subscription quota, show only deployable SKUs | ⚠️ Never hardcode SKU lists — always query live data |\n| **7. Configure Capacity** | Query capacity API, validate min\u002Fmax\u002Fstep, user enters value | Cross-region fallback if no capacity in current region |\n| **8. Select RAI Policy** | Present content filter options | Default: `Microsoft.DefaultV2` |\n| **9. Advanced Options** | Dynamic quota (GlobalStandard), priority processing (PTU), spillover | SKU-dependent availability |\n| **10. Upgrade Policy** | Choose: OnceNewDefaultVersionAvailable \u002F OnceCurrentVersionExpired \u002F NoAutoUpgrade | Default: auto-upgrade on new default |\n| **11. Deployment Name** | Auto-generate unique name, allow custom override | Validates format: `^[\\w.-]{2,64}$` |\n| **12. Review** | Display full config summary, confirm before proceeding | User approves or cancels |\n| **13. Deploy & Monitor** | `az cognitiveservices account deployment create`, poll status | Timeout after 5 min; show endpoint + portal link |\n\n\n---\n\n## Error Handling\n\n### Common Issues and Resolutions\n\n| Error | Cause | Resolution |\n|-------|-------|------------|\n| **Model not found** | Invalid model name | List available models with `az cognitiveservices account list-models` |\n| **Version not available** | Version not supported for SKU | Select different version or SKU |\n| **Insufficient quota** | Capacity > available quota | Skill auto-searches all regions; fails only if no region has quota |\n| **SKU not supported** | SKU not available in region | Cross-region fallback searches other regions automatically |\n| **Capacity out of range** | Invalid capacity value | **PREVENTED**: Skill validates min\u002Fmax\u002Fstep at input (Phase 7) |\n| **Deployment name exists** | Name conflict | Auto-incremented name generation |\n| **Authentication failed** | Not logged in | Run `az login` |\n| **Permission denied** | Insufficient permissions | Assign Cognitive Services Contributor role |\n| **Capacity query fails** | API\u002Fpermissions\u002Fnetwork error | **DEPLOYMENT BLOCKED**: Will not proceed without valid quota data |\n\n### Troubleshooting Commands\n\n```bash\n# Check deployment status\naz cognitiveservices account deployment show --name \u003Caccount> --resource-group \u003Crg> --deployment-name \u003Cname>\n\n# List all deployments\naz cognitiveservices account deployment list --name \u003Caccount> --resource-group \u003Crg> -o table\n\n# Check quota usage\naz cognitiveservices usage list --name \u003Caccount> --resource-group \u003Crg>\n\n# Delete failed deployment\naz cognitiveservices account deployment delete --name \u003Caccount> --resource-group \u003Crg> --deployment-name \u003Cname>\n```\n\n---\n\n## Selection Guides & Advanced Topics\n\n> For SKU comparison tables, PTU sizing formulas, and advanced option details, load [references\u002Fcustomize-guides.md](references\u002Fcustomize-guides.md).\n\n**SKU selection:** GlobalStandard (production\u002FHA) → Standard (dev\u002Ftest) → ProvisionedManaged (high-volume\u002Fguaranteed throughput) → DataZoneStandard (data residency).\n\n**Capacity:** TPM-based SKUs range from 1K (dev) to 100K+ (large production). PTU-based use formula: `(Input TPM × 0.001) + (Output TPM × 0.002) + (Requests\u002Fmin × 0.1)`.\n\n**Advanced options:** Dynamic quota (GlobalStandard only), priority processing (PTU only, extra cost), spillover (overflow to backup deployment).\n\n---\n\n## Related Skills\n\n- **preset** - Quick deployment to best region with automatic configuration\n- **microsoft-foundry** - Parent skill for all Azure AI Foundry operations\n- **[quota](..\u002F..\u002F..\u002Fquota\u002Fquota.md)** — For quota viewing, increase requests, and troubleshooting quota errors, defer to this skill instead of duplicating guidance\n- **rbac** - Manage permissions and access control\n\n---\n\n## Notes\n\n- Set `PROJECT_RESOURCE_ID` environment variable to skip prompt\n- Not all SKUs available in all regions; capacity varies by subscription\u002Fregion\u002Fmodel\n- Custom RAI policies can be configured in Azure Portal\n- Automatic version upgrades occur during maintenance windows\n- Use Azure Monitor and 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Delete failed deployment\n",{"type":45,"tag":1240,"props":1546,"children":1548},{"class":1242,"line":1547},11,[1549,1553,1557,1561,1565,1570,1574,1578,1582,1586,1590,1594,1598,1602,1606,1610,1614,1618,1622,1626],{"type":45,"tag":1240,"props":1550,"children":1551},{"style":1257},[1552],{"type":51,"value":1260},{"type":45,"tag":1240,"props":1554,"children":1555},{"style":1263},[1556],{"type":51,"value":1266},{"type":45,"tag":1240,"props":1558,"children":1559},{"style":1263},[1560],{"type":51,"value":1271},{"type":45,"tag":1240,"props":1562,"children":1563},{"style":1263},[1564],{"type":51,"value":1276},{"type":45,"tag":1240,"props":1566,"children":1567},{"style":1263},[1568],{"type":51,"value":1569}," 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SKUs range from 1K (dev) to 100K+ (large production). PTU-based use formula: ",{"type":45,"tag":176,"props":1675,"children":1677},{"className":1676},[],[1678],{"type":51,"value":1679},"(Input TPM × 0.001) + (Output TPM × 0.002) + (Requests\u002Fmin × 0.1)",{"type":51,"value":1653},{"type":45,"tag":54,"props":1682,"children":1683},{},[1684,1689],{"type":45,"tag":101,"props":1685,"children":1686},{},[1687],{"type":51,"value":1688},"Advanced options:",{"type":51,"value":1690}," Dynamic quota (GlobalStandard only), priority processing (PTU only, extra cost), spillover (overflow to backup deployment).",{"type":45,"tag":573,"props":1692,"children":1693},{},[],{"type":45,"tag":60,"props":1695,"children":1697},{"id":1696},"related-skills",[1698],{"type":51,"value":1699},"Related Skills",{"type":45,"tag":219,"props":1701,"children":1702},{},[1703,1712,1722,1736],{"type":45,"tag":223,"props":1704,"children":1705},{},[1706,1710],{"type":45,"tag":101,"props":1707,"children":1708},{},[1709],{"type":51,"value":305},{"type":51,"value":1711}," - Quick deployment to best region with automatic configuration",{"type":45,"tag":223,"props":1713,"children":1714},{},[1715,1720],{"type":45,"tag":101,"props":1716,"children":1717},{},[1718],{"type":51,"value":1719},"microsoft-foundry",{"type":51,"value":1721}," - Parent skill for all Azure AI Foundry operations",{"type":45,"tag":223,"props":1723,"children":1724},{},[1725,1734],{"type":45,"tag":101,"props":1726,"children":1727},{},[1728],{"type":45,"tag":599,"props":1729,"children":1731},{"href":1730},"..\u002F..\u002F..\u002Fquota\u002Fquota.md",[1732],{"type":51,"value":1733},"quota",{"type":51,"value":1735}," — For quota viewing, increase requests, and troubleshooting quota errors, defer to this skill instead of duplicating guidance",{"type":45,"tag":223,"props":1737,"children":1738},{},[1739,1744],{"type":45,"tag":101,"props":1740,"children":1741},{},[1742],{"type":51,"value":1743},"rbac",{"type":51,"value":1745}," - Manage permissions and access control",{"type":45,"tag":573,"props":1747,"children":1748},{},[],{"type":45,"tag":60,"props":1750,"children":1752},{"id":1751},"notes",[1753],{"type":51,"value":1754},"Notes",{"type":45,"tag":219,"props":1756,"children":1757},{},[1758,1770,1775,1780,1785],{"type":45,"tag":223,"props":1759,"children":1760},{},[1761,1763,1768],{"type":51,"value":1762},"Set ",{"type":45,"tag":176,"props":1764,"children":1766},{"className":1765},[],[1767],{"type":51,"value":534},{"type":51,"value":1769}," environment variable to skip prompt",{"type":45,"tag":223,"props":1771,"children":1772},{},[1773],{"type":51,"value":1774},"Not all SKUs available in all regions; capacity varies by subscription\u002Fregion\u002Fmodel",{"type":45,"tag":223,"props":1776,"children":1777},{},[1778],{"type":51,"value":1779},"Custom RAI policies can be configured in Azure Portal",{"type":45,"tag":223,"props":1781,"children":1782},{},[1783],{"type":51,"value":1784},"Automatic version upgrades occur during maintenance windows",{"type":45,"tag":223,"props":1786,"children":1787},{},[1788],{"type":51,"value":1789},"Use Azure Monitor and Application Insights for production deployments",{"type":45,"tag":1791,"props":1792,"children":1793},"style",{},[1794],{"type":51,"value":1795},"html .light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html.light .shiki span {color: var(--shiki-light);background: var(--shiki-light-bg);font-style: var(--shiki-light-font-style);font-weight: var(--shiki-light-font-weight);text-decoration: var(--shiki-light-text-decoration);}html .default .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .shiki span {color: var(--shiki-default);background: var(--shiki-default-bg);font-style: var(--shiki-default-font-style);font-weight: var(--shiki-default-font-weight);text-decoration: var(--shiki-default-text-decoration);}html .dark .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);}html.dark .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":1797,"total":1988},[1798,1820,1839,1860,1873,1890,1901,1914,1929,1944,1963,1976],{"slug":1799,"name":1799,"fn":1800,"description":1801,"org":1802,"tags":1803,"stars":1817,"repoUrl":1818,"updatedAt":1819},"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},[1804,1807,1810,1811,1814],{"name":1805,"slug":1806,"type":15},"Engineering","engineering",{"name":1808,"slug":1809,"type":15},"Local Development","local-development",{"name":9,"slug":8,"type":15},{"name":1812,"slug":1813,"type":15},"Project Management","project-management",{"name":1815,"slug":1816,"type":15},"Rush","rush",6484,"https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Frushstack","2026-04-06T18:34:44.965032",{"slug":1821,"name":1821,"fn":1822,"description":1823,"org":1824,"tags":1825,"stars":1836,"repoUrl":1837,"updatedAt":1838},"azure-ai-agents-persistent-dotnet","build AI agents with Azure .NET SDK","Azure AI Agents Persistent SDK for .NET. Low-level SDK for creating and managing AI agents with threads, messages, runs, and tools. Use for agent CRUD, conversation threads, streaming responses, function calling, file search, and code interpreter. Triggers: \"PersistentAgentsClient\", \"persistent agents\", \"agent threads\", \"agent runs\", \"streaming agents\", \"function calling agents .NET\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1826,1829,1832,1833],{"name":1827,"slug":1828,"type":15},".NET","net",{"name":1830,"slug":1831,"type":15},"Agents","agents",{"name":13,"slug":14,"type":15},{"name":1834,"slug":1835,"type":15},"LLM","llm",2804,"https:\u002F\u002Fgithub.com\u002Fmicrosoft\u002Fskills","2026-07-03T16:32:10.297433",{"slug":1840,"name":1840,"fn":1841,"description":1842,"org":1843,"tags":1844,"stars":1836,"repoUrl":1837,"updatedAt":1859},"azure-ai-anomalydetector-java","build anomaly detection applications with Java","Build anomaly detection applications with Azure AI Anomaly Detector SDK for Java. Use when implementing univariate\u002Fmultivariate anomaly detection, time-series analysis, or AI-powered monitoring.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1845,1848,1849,1852,1855,1856],{"name":1846,"slug":1847,"type":15},"Analytics","analytics",{"name":13,"slug":14,"type":15},{"name":1850,"slug":1851,"type":15},"Data Analysis","data-analysis",{"name":1853,"slug":1854,"type":15},"Java","java",{"name":9,"slug":8,"type":15},{"name":1857,"slug":1858,"type":15},"Monitoring","monitoring","2026-05-13T06:14:16.261754",{"slug":1861,"name":1861,"fn":1862,"description":1863,"org":1864,"tags":1865,"stars":1836,"repoUrl":1837,"updatedAt":1872},"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},[1866,1867,1868,1869],{"name":23,"slug":24,"type":15},{"name":13,"slug":14,"type":15},{"name":1853,"slug":1854,"type":15},{"name":1870,"slug":1871,"type":15},"Security","security","2026-07-07T06:53:31.293235",{"slug":1874,"name":1874,"fn":1875,"description":1876,"org":1877,"tags":1878,"stars":1836,"repoUrl":1837,"updatedAt":1889},"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},[1879,1880,1883,1884,1885,1888],{"name":13,"slug":14,"type":15},{"name":1881,"slug":1882,"type":15},"Compliance","compliance",{"name":1834,"slug":1835,"type":15},{"name":9,"slug":8,"type":15},{"name":1886,"slug":1887,"type":15},"Python","python",{"name":1870,"slug":1871,"type":15},"2026-07-18T05:14:23.017504",{"slug":1891,"name":1891,"fn":1892,"description":1893,"org":1894,"tags":1895,"stars":1836,"repoUrl":1837,"updatedAt":1900},"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},[1896,1897,1898,1899],{"name":1846,"slug":1847,"type":15},{"name":13,"slug":14,"type":15},{"name":1834,"slug":1835,"type":15},{"name":1886,"slug":1887,"type":15},"2026-07-31T05:54:29.068751",{"slug":1902,"name":1902,"fn":1903,"description":1904,"org":1905,"tags":1906,"stars":1836,"repoUrl":1837,"updatedAt":1913},"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},[1907,1910,1911,1912],{"name":1908,"slug":1909,"type":15},"API Development","api-development",{"name":13,"slug":14,"type":15},{"name":9,"slug":8,"type":15},{"name":1886,"slug":1887,"type":15},"2026-07-18T05:14:16.988376",{"slug":1915,"name":1915,"fn":1916,"description":1917,"org":1918,"tags":1919,"stars":1836,"repoUrl":1837,"updatedAt":1928},"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},[1920,1921,1924,1927],{"name":13,"slug":14,"type":15},{"name":1922,"slug":1923,"type":15},"Computer Vision","computer-vision",{"name":1925,"slug":1926,"type":15},"Images","images",{"name":1886,"slug":1887,"type":15},"2026-07-18T05:14:18.007737",{"slug":1930,"name":1930,"fn":1931,"description":1932,"org":1933,"tags":1934,"stars":1836,"repoUrl":1837,"updatedAt":1943},"azure-appconfiguration-java","manage configuration with Azure App Configuration","Azure App Configuration SDK for Java. Centralized application configuration management with key-value settings, feature flags, and snapshots.\nTriggers: \"ConfigurationClient java\", \"app configuration java\", \"feature flag java\", \"configuration setting java\", \"azure config java\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1935,1936,1939,1942],{"name":13,"slug":14,"type":15},{"name":1937,"slug":1938,"type":15},"Configuration","configuration",{"name":1940,"slug":1941,"type":15},"Feature Flags","feature-flags",{"name":1853,"slug":1854,"type":15},"2026-07-03T16:32:01.278468",{"slug":1945,"name":1945,"fn":1946,"description":1947,"org":1948,"tags":1949,"stars":1836,"repoUrl":1837,"updatedAt":1962},"azure-cosmos-rust","build applications with Azure Cosmos DB","Azure Cosmos DB library for Rust (NoSQL API). Document CRUD, containers, and globally distributed data.\nTriggers: \"cosmos db rust\", \"CosmosClient rust\", \"document crud rust\", \"NoSQL rust\", \"partition key rust\".\n",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1950,1953,1956,1959],{"name":1951,"slug":1952,"type":15},"Cosmos DB","cosmos-db",{"name":1954,"slug":1955,"type":15},"Database","database",{"name":1957,"slug":1958,"type":15},"NoSQL","nosql",{"name":1960,"slug":1961,"type":15},"Rust","rust","2026-07-31T05:54:27.021432",{"slug":1964,"name":1964,"fn":1946,"description":1965,"org":1966,"tags":1967,"stars":1836,"repoUrl":1837,"updatedAt":1975},"azure-cosmos-ts","Azure Cosmos DB JavaScript\u002FTypeScript SDK (@azure\u002Fcosmos) for data plane operations. Use for CRUD operations on documents, queries, bulk operations, and container management. 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},[1968,1969,1970,1971,1972],{"name":1951,"slug":1952,"type":15},{"name":1954,"slug":1955,"type":15},{"name":9,"slug":8,"type":15},{"name":1957,"slug":1958,"type":15},{"name":1973,"slug":1974,"type":15},"TypeScript","typescript","2026-07-03T16:31:19.368382",{"slug":1977,"name":1977,"fn":1978,"description":1979,"org":1980,"tags":1981,"stars":1836,"repoUrl":1837,"updatedAt":1987},"azure-data-tables-java","build table storage applications with Java","Build table storage applications with Azure Tables SDK for Java. Use when working with Azure Table Storage or Cosmos DB Table API for NoSQL key-value data, schemaless storage, or structured data at scale.",{"slug":8,"name":9,"logoUrl":10,"githubOrg":8},[1982,1983,1984,1985,1986],{"name":13,"slug":14,"type":15},{"name":1951,"slug":1952,"type":15},{"name":1954,"slug":1955,"type":15},{"name":1853,"slug":1854,"type":15},{"name":1957,"slug":1958,"type":15},"2026-05-13T06:14:17.582229",267,{"items":1990,"total":2104},[1991,2007,2019,2036,2053,2070,2086],{"slug":1992,"name":1992,"fn":1993,"description":1994,"org":1995,"tags":1996,"stars":25,"repoUrl":26,"updatedAt":2006},"airunway-aks-setup","set up AI Runway on Azure Kubernetes Service","Set up AI Runway on AKS — from bare cluster to running model. Covers cluster verification, controller install, GPU assessment, provider setup, and first deployment. 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},[1997,1998,1999,2000,2003],{"name":23,"slug":24,"type":15},{"name":13,"slug":14,"type":15},{"name":17,"slug":18,"type":15},{"name":2001,"slug":2002,"type":15},"Kubernetes","kubernetes",{"name":2004,"slug":2005,"type":15},"Runway","runway","2026-07-31T05:56:13.054971",{"slug":2008,"name":2008,"fn":2009,"description":2010,"org":2011,"tags":2012,"stars":25,"repoUrl":26,"updatedAt":2018},"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},[2013,2014,2015],{"name":13,"slug":14,"type":15},{"name":1857,"slug":1858,"type":15},{"name":2016,"slug":2017,"type":15},"Observability","observability","2026-07-31T05:56:09.068625",{"slug":2020,"name":2020,"fn":2021,"description":2022,"org":2023,"tags":2024,"stars":25,"repoUrl":26,"updatedAt":2035},"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},[2025,2026,2027,2028,2029,2032],{"name":23,"slug":24,"type":15},{"name":13,"slug":14,"type":15},{"name":1834,"slug":1835,"type":15},{"name":20,"slug":21,"type":15},{"name":2030,"slug":2031,"type":15},"Search","search",{"name":2033,"slug":2034,"type":15},"Speech","speech","2026-07-31T05:56:19.069133",{"slug":2037,"name":2037,"fn":2038,"description":2039,"org":2040,"tags":2041,"stars":25,"repoUrl":26,"updatedAt":2052},"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},[2042,2043,2044,2045,2048,2051],{"name":23,"slug":24,"type":15},{"name":1908,"slug":1909,"type":15},{"name":13,"slug":14,"type":15},{"name":2046,"slug":2047,"type":15},"Caching","caching",{"name":2049,"slug":2050,"type":15},"Governance","governance",{"name":1870,"slug":1871,"type":15},"2026-07-31T05:56:23.05242",{"slug":2054,"name":2054,"fn":2055,"description":2056,"org":2057,"tags":2058,"stars":25,"repoUrl":26,"updatedAt":2069},"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},[2059,2062,2063,2066],{"name":2060,"slug":2061,"type":15},"AWS","aws",{"name":13,"slug":14,"type":15},{"name":2064,"slug":2065,"type":15},"Google Cloud","google-cloud",{"name":2067,"slug":2068,"type":15},"Migration","migration","2026-07-31T05:56:29.049979",{"slug":2071,"name":2071,"fn":2072,"description":2073,"org":2074,"tags":2075,"stars":25,"repoUrl":26,"updatedAt":2085},"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},[2076,2079,2080,2081,2084],{"name":2077,"slug":2078,"type":15},"Audit","audit",{"name":13,"slug":14,"type":15},{"name":1881,"slug":1882,"type":15},{"name":2082,"slug":2083,"type":15},"Regulatory Compliance","regulatory-compliance",{"name":1870,"slug":1871,"type":15},"2026-07-31T05:56:11.06797",{"slug":2087,"name":2087,"fn":2088,"description":2089,"org":2090,"tags":2091,"stars":25,"repoUrl":26,"updatedAt":2103},"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},[2092,2093,2094,2097,2100],{"name":23,"slug":24,"type":15},{"name":13,"slug":14,"type":15},{"name":2095,"slug":2096,"type":15},"Cost Optimization","cost-optimization",{"name":2098,"slug":2099,"type":15},"Performance","performance",{"name":2101,"slug":2102,"type":15},"Virtual Machines","virtual-machines","2026-07-31T05:56:16.042469",28]