Individual skill
azure-aigateway
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.
skills/azure-aigateway/SKILL.md
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SKILL.mdcore · 5,029 bytesSKILL.mdcore · 5,029 bytesSKILL.mdcore · 5,029 bytesSKILL.mdcore · 5,029 bytesreferences/auth-best-practices.mddoc · 6,207 bytesreferences/patterns.mddoc · 6,786 bytesreferences/policies.mddoc · 9,375 bytesreferences/sdk/azure-ai-contentsafety-py.mddoc · 1,361 bytesreferences/sdk/azure-ai-contentsafety-ts.mddoc · 1,413 bytesreferences/sdk/azure-mgmt-apimanagement-dotnet.mddoc · 1,310 bytesreferences/sdk/azure-mgmt-apimanagement-py.mddoc · 1,028 bytesreferences/troubleshooting.mddoc · 7,881 bytes
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# Azure AI Gateway
Configure Azure API Management (APIM) as an AI Gateway for governing AI models, MCP tools, and agents.
> **To deploy APIM**, use the **azure-prepare** skill. See [APIM deployment guide](https://learn.microsoft.com/azure/api-management/get-started-create-service-instance).
## When to Use This Skill
| Category | Triggers |
|----------|----------|
| **Model Governance** | "semantic caching", "token limits", "load balance AI", "track token usage" |
| **Tool Governance** | "rate limit MCP", "protect my tools", "configure my tool", "convert API to MCP" |
| **Agent Governance** | "content safety", "jailbreak detection", "filter harmful content" |
| **Configuration** | "add Azure OpenAI backend", "configure my model", "add AI Foundry model" |