azure-aigateway

microsoft571kstars

Cloud Infrastructure

1---2name: azure-aigateway3description: Configure Azure API Management as an AI Gateway for AI models, MCP tools, and agents. WHEN: semantic caching…4---56# skills/azure-aigateway/SKILL.md

SKILL.mdAgent skill

Transport: File
Status: Listed

SKILL.md

Install

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1npx skills add microsoft/azure-skills --skill azure-aigateway -a cursor -y

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1npx skills add microsoft/azure-skills --skill azure-aigateway -a claude-code -y

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1npx skills add microsoft/azure-skills --skill azure-aigateway -a codex -y

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1npx skills add microsoft/azure-skills --skill azure-aigateway -a grok -y

Send the copied message in a Grok Bot chat. The Bot fetches this SKILL.md from GitHub and adds it to the skills all your Bots share.

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1Install this skill: https://github.com/microsoft/azure-skills/tree/HEAD/skills/azure-aigateway

Download skill skills/azure-aigateway/SKILL.md on GitHub

skills/azure-aigateway/SKILL.mdMarkdown · UTF-8

Skill facts

Agent skill

File: skills/azure-aigateway/SKILL.md
Publisher: microsoft
Hosting: Publisher

Overview

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.

FAQ

Questions

name: azure-aigateway
description: 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: MIT
metadata: 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.

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"

Quick Reference

Policy	Purpose	Details
`azure-openai-token-limit`	Cost control	Model Policies
`azure-openai-semantic-cache-lookup/store`	60-80% cost savings	Model Policies
`azure-openai-emit-token-metric`	Observability	Model Policies

Issue	Solution
Token limit 429	Increase `tokens-per-minute` or add load balancing
No cache hits	Lower `score-threshold` to 0.7
Content false positives	Increase category thresholds (5-6)
Backend auth 401	Grant APIM "Cognitive Services User" role

azure-aigateway

Install

Skill facts

About azure-aigateway

Questions

How do I install azure-aigateway?

Where does azure-aigateway live?

Which agents can use azure-aigateway?

SKILL.md

Azure AI Gateway

When to Use This Skill

Quick Reference

Get Gateway Details

Test AI Endpoint

Common Tasks

Add AI Backend

Apply AI Governance Policy

Troubleshooting

References

SDK Quick References