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.
About
# 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](https://learn.microsoft.com/azure/api-management/get-started-create-service-instance).
## 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](references/policies.md#token-rate-limiting) | | `azure-openai-semantic-cache-lookup/store` | 60-80% cost savings | [Model Policies](references/policies.md#semantic-caching) | | `azure-openai-emit-token-metric` | Observability | [Model Policies](references/policies.md#token-metrics) | | `llm-content-safety` | Safety & compliance | [Agent Policies](references/policies.md#content-safety) | | `rate-limit-by-key` | MCP/tool protection | [Tool Policies](references/policies.md#request-rate-limiting) |
---
## Get Gateway Details
```bash # 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
```bash 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](references/patterns.md#pattern-1-add-ai-model-backend) for full steps.
```bash # 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](references/policies.md#combining-policies) 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](references/troubleshooting.md) for details.
---
## References
- [**Detailed Policies**](references/policies.md) - Full policy examples - [**Configuration Patterns**](references/patterns.md) - Step-by-step patterns - [**Troubleshooting**](references/troubleshooting.md) - Common issues - [AI-Gateway Samples](https://github.com/Azure-Samples/AI-Gateway) - [GenAI Gateway Docs](https://learn.microsoft.com/azure/api-management/genai-gateway-capabilities)
## SDK Quick References
- **Content Safety**: [Python](references/sdk/azure-ai-contentsafety-py.md) | [TypeScript](references/sdk/azure-ai-contentsafety-ts.md) - **API Management**: [Python](references/sdk/azure-mgmt-apimanagement-py.md) | [.NET](references/sdk/azure-mgmt-apimanagement-dotnet.md)
Install
Run this command
git clone https://github.com/microsoft/azure-skills && cp -r azure-skills/skills/azure-aigateway ~/.claude/skills/Works with
Manual steps
Clone the repository and copy the `skills/azure-aigateway` folder into your Claude skills directory. Compatible with Claude Code, Cursor, Codex, and any Agent Skills-compatible agent.
Frequently asked questions
What is the Azure Aigateway skill?
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.
How do I install Azure Aigateway?
Run this in your terminal:
git clone https://github.com/microsoft/azure-skills && cp -r azure-skills/skills/azure-aigateway ~/.claude/skills/Which AI tools does Azure Aigateway work with?
It works with claude_app, claude_code, claude_api, cursor, codex, windsurf, cline, zed.
Who made Azure Aigateway?
Microsoft, released under the MIT license.
Is Azure Aigateway free?
Yes, it is free to use under the MIT license.
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