AGENT SKILL

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.

License 许可
MIT
最近更新
2026-05-29
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01 前言 Front Matter

name
azure-aigateway
license
MIT
metadata
{ "author": "Microsoft", "version": "3.0.1" }
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.
compatibility
Requires Azure CLI (az) for configuration and testing

02 资源文件 8

03 SKILL.md 正文

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
llm-content-safety Safety & compliance Agent Policies
rate-limit-by-key MCP/tool protection Tool Policies

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-version=2024-02-01" \
  -H "Content-Type: application/json" \
  -H "Ocp-Apim-Subscription-Key: <key>" \
  -d '{"messages": [{"role": "user", "content": "Hello"}], "max_tokens": 100}'

Common Tasks

Add AI Backend

See references/patterns.md for full steps.

# Discover AI resources
az cognitiveservices account list --query "[?kind=='OpenAI']" -o table

# Create backend
az apim backend create --service-name <apim> --resource-group <rg> \
  --backend-id openai-backend --protocol http --url "https://<aoai>.openai.azure.com/openai"

# Grant access (managed identity)
az role assignment create --assignee <apim-principal-id> \
  --role "Cognitive Services User" --scope <aoai-resource-id>

Apply AI Governance Policy

Recommended policy order in <inbound>:

  1. Authentication - Managed identity to backend
  2. Semantic Cache Lookup - Check cache before calling AI
  3. Token Limits - Cost control
  4. Content Safety - Filter harmful content
  5. Backend Selection - Load balancing
  6. Metrics - Token usage tracking

See references/policies.md for complete example.


Troubleshooting

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

See references/troubleshooting.md for details.


References

SDK Quick References

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