azure-aigateway
Assists users in deploying and managing Azure AI Gateway, unifying access and management of various AI services, simplifying the integration and expansion of AI solutions.
npx skills add microsoft/github-copilot-for-azure --skill azure-aigatewayBefore / After Comparison
1 组Manual deployment and configuration of Azure AI Gateway is complex, time-consuming, and laborious. It's difficult to uniformly manage multiple AI service interfaces, impacting development efficiency and security.
Intelligent assistance for Azure AI Gateway deployment simplifies configuration. It enables unified management of AI services, improves development efficiency, and ensures interface security and stability.
description SKILL.md
azure-aigateway
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>:
-
Authentication - Managed identity to backend
-
Semantic Cache Lookup - Check cache before calling AI
-
Token Limits - Cost control
-
Content Safety - Filter harmful content
-
Backend Selection - Load balancing
-
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
-
Detailed Policies - Full policy examples
-
Configuration Patterns - Step-by-step patterns
-
Troubleshooting - Common issues
SDK Quick References
-
Content Safety: Python | TypeScript
Weekly Installs102.9KRepositorymicrosoft/githu…or-azureGitHub Stars157First SeenFeb 4, 2026Security AuditsGen Agent Trust HubPassSocketPassSnykFailInstalled ongithub-copilot102.9Kcodex366gemini-cli354opencode329cursor320kimi-cli318
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