azure-aigateway▌
microsoft/azure-skills · updated Apr 8, 2026
Configure Azure API Management as an AI Gateway for models, MCP tools, and agents with built-in governance policies.
- ›Supports semantic caching (60-80% cost savings), token rate limiting, content safety filtering, and jailbreak detection across AI backends
- ›Add Azure OpenAI, AI Foundry models, or convert existing APIs to MCP tools as managed backends with load balancing
- ›Includes five core policy categories: authentication, semantic cache lookup, token limits, content safety, and token
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
- AI-Gateway Samples
- GenAI Gateway Docs
SDK Quick References
- Content Safety: Python | TypeScript
- API Management: Python | .NET
Discussion
Product Hunt–style comments (not star reviews)- No comments yet — start the thread.
Ratings
4.6★★★★★47 reviews- ★★★★★Nia Liu· Dec 28, 2024
azure-aigateway is among the better-maintained entries we tried; worth keeping pinned for repeat workflows.
- ★★★★★Diya Martin· Dec 28, 2024
azure-aigateway fits our agent workflows well — practical, well scoped, and easy to wire into existing repos.
- ★★★★★Ganesh Mohane· Dec 16, 2024
Keeps context tight: azure-aigateway is the kind of skill you can hand to a new teammate without a long onboarding doc.
- ★★★★★Aditi Zhang· Dec 12, 2024
azure-aigateway reduced setup friction for our internal harness; good balance of opinion and flexibility.
- ★★★★★Aditi Liu· Nov 19, 2024
Solid pick for teams standardizing on skills: azure-aigateway is focused, and the summary matches what you get after install.
- ★★★★★James Abbas· Nov 19, 2024
Registry listing for azure-aigateway matched our evaluation — installs cleanly and behaves as described in the markdown.
- ★★★★★Ira Rao· Nov 11, 2024
Useful defaults in azure-aigateway — fewer surprises than typical one-off scripts, and it plays nicely with `npx skills` flows.
- ★★★★★Sakshi Patil· Nov 7, 2024
azure-aigateway has been reliable in day-to-day use. Documentation quality is above average for community skills.
- ★★★★★Min Martinez· Nov 3, 2024
We added azure-aigateway from the explainx registry; install was straightforward and the SKILL.md answered most questions upfront.
- ★★★★★Chaitanya Patil· Oct 26, 2024
Solid pick for teams standardizing on skills: azure-aigateway is focused, and the summary matches what you get after install.
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