Does it support Azure AI Foundry models?

Yes, the skill can discover available models in Azure AI Foundry, deploy them, and automatically configure APIM backends for those model inference endpoints.

What is an AI Gateway in Azure?

An AI Gateway is a management layer using Azure API Management that sits between your applications and AI models to provide security, rate limiting, caching, and observability.

Which Azure APIM SKU does this skill use by default?

It defaults to the Basicv2 SKU, which is more cost-effective than Premium tiers, supports all AI Gateway policies, and deploys significantly faster.

Can I use this skill to protect MCP servers?

Yes, the skill includes specific patterns for protecting Model Context Protocol (MCP) servers and OpenAPI tools with request rate limiting and authentication.

How does semantic caching help reduce costs?

Semantic caching identifies similar prompts using embeddings, allowing the gateway to serve cached responses for equivalent queries, which reduces both latency and LLM token usage.

Azure AI Gateway Manager

Name: Azure AI Gateway Manager
Author: microsoft

bymicrosoft

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109

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云基础设施

Configures Azure API Management as a robust gateway to secure, monitor, and control AI models and MCP servers.

The Azure AI Gateway skill streamlines the deployment and configuration of Azure API Management (APIM) as a specialized gateway for generative AI workloads. It provides developers with standardized patterns to implement enterprise-grade features such as semantic caching to reduce LLM costs, token-based rate limiting to prevent abuse, and automated content safety filters. By bridging the gap between raw AI model deployment and production-ready infrastructure, this skill ensures unified observability, managed identity authentication, and intelligent load balancing across multiple AI backends and MCP servers.

主要功能

01109 GitHub stars

02Semantic caching to reduce latency and LLM consumption costs

03Load balancing with automatic retry and failover logic

04Automated APIM bootstrap using the cost-effective Basicv2 SKU

05Token-based rate limiting and quota management per subscription

06Integrated content safety filtering and jailbreak detection

使用场景

01Implementing strict cost controls through semantic caching and token limits

02Securing AI agents and MCP servers with managed identity and enterprise auth

03Scaling AI applications across multiple regional Azure OpenAI endpoints with failover

What are Skills?·How to Install

Install with 🐟 Skill.Fish

npx skillfish add microsoft/github-copilot-for-azure azure-aigateway

For use in Claude.ai and ChatGPT

Download Skill