Azure Aigateway

This wraps Azure API Management around your AI models to add governance policies like semantic caching, token limits, and content safety filters. You'd use it when you need to control costs (caching can cut bills 60-80%), prevent jailbreaks, or rate-limit your MCP tools before they hit production. It generates the APIM policies, sets up managed identity auth to Azure OpenAI, and gives you the curl commands to test everything. The policy examples are solid and it covers the tricky bits like proper policy ordering. Honestly feels like something Microsoft should have built into the Azure portal by now, but this gets you there with CLI commands.

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last updated: Aug 21, 2026

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Install

$ npx -y skills add microsoft/azure-skills --skill azure-aigateway --agent claude-code

Installs into .claude/skills of the current project.

Files

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.

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"
Testing	"test AI gateway", "call OpenAI through gateway"