Azure Aigateway

microsoft/github-copilot-for-azureOfficial

Azure-aigateway enables developers and platform engineers to configure Azure API Management as a governance layer for AI models, MCP tools, and agents. The skill provides policies and commands for implementing semantic caching, token limits, content safety filters, load balancing, rate limiting, and jailbreak detection to control costs, ensure compliance, and protect AI workloads. It solves the problem of managing multiple AI backends and tools through a single controlled gateway with observability and cost control mechanisms.

skills.sh installs: 103K
GitHub stars: 217
last updated: Jun 11, 2026

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Install

$ npx -y skills add microsoft/github-copilot-for-azure --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"