azure-aigateway
microsoft / azure-skills
About 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.
Install azure-aigateway
npx skills add https://github.com/microsoft/azure-skills --skill azure-aigateway基本情報
What it does
Supports semantic caching (60-80% cost savings), token rate limiting, content safety filtering, and jailbreak detection across AI backends
Add Azure OpenAI, AI Foundry models, or convert existing APIs to MCP tools as managed backends with load balancing
Includes five core policy categories: authentication, semantic cache lookup, token limits, content safety, and token metrics for observability
Requires Azure CLI for configuration and testing; integrates with managed identity for secure backend access
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