Azure Aigateway

API Management — .NET SDK Quick Reference

Condensed from azure-mgmt-apimanagement-dotnet. Full patterns (service

creation, APIs, products, policies, users, gateways, backends)

in the azure-mgmt-apimanagement-dotnet plugin skill if installed.

Install

dotnet add package Azure.ResourceManager.ApiManagement dotnet add package Azure.Identity

Quick Start

Auth: DefaultAzureCredential is for local development. See auth-best-practices.md for production patterns.

using Azure.ResourceManager;
using Azure.Identity;
var armClient = new ArmClient(new DefaultAzureCredential());

Best Practices

• Use WaitUntil.Completed for operations that must finish before proceeding
• Use WaitUntil.Started for long operations like service creation (30+ min)
• Use DefaultAzureCredential for local development only. In production, use ManagedIdentityCredential — see auth-best-practices.md
• Handle RequestFailedException for ARM API errors
• Use CreateOrUpdateAsync for idempotent operations
• Navigate hierarchy via Get* methods (e.g., service.GetApis())
• Policy format — use XML format for policies; JSON is also supported
• Service creation — Developer SKU is fastest for testing (~15-30 min)

--- 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: "3.1.1" 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

---

Quick Reference

---

Get Gateway Details

# Get gateway URL
az apim show --name <apim-name> --resource-group <rg> --query "gatewayUrl" -o tsv

# List backends (AI models)
az apim backend list --service-name <apim-name> --resource-group <rg> \
  --query "[].{id:name, url:url}" -o table

# Get subscription key
az apim subscription keys list \
  --service-name <apim-name> --resource-group <rg> --subscription-id <sub-id>

---

Test AI Endpoint

GATEWAY_URL=$(az apim show --name <apim-name> --resource-group <rg> --query "gatewayUrl" -o tsv)

curl -X POST "${GATEWAY_URL}/openai/deployments/<deployment>/chat/completions?api-v