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.
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Use azure-aigateway to configure [APIM instance] as an AI gateway for [Azure OpenAI backend] with managed-identity authentication, semantic caching, token limits, content safety, backend selection, and token metrics in the recommended inbound order.
Required inputs
[APIM instance]
[Azure OpenAI backend]
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SKILL.md
name: azure-aigatewaydescription: "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."license: MITmetadata: author: Microsoft version: "3.2.1"compatibility: Requires Azure CLI (az) for configuration and testing
Azure AI Gateway
Configure Azure API Management (APIM) as an AI Gateway for governing AI models, MCP tools, and agents.