Skip to content

/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

From plugin
azure
1.6k35 skills1 MCP

Claude Code

$ npx -y skills add microsoft/azure-skills --skill azure-aigateway --agent claude-code

SKILL.md

azure-aigateway.SKILL.md
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: "3.2.1"
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](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

# 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](references/patterns.md#pattern-1-add-ai-model-backend) 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](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)
Read more
@microsoft
Ships withazure

Azure work is not just a code problem. It is a decision problem: which service fits this app, what needs to be validated before deployment, which tools should run, and what guardrails matter.

Stars on GitHub

Momentum

stars in total
1.6k
Star history of microsoft/azure-skills on GitHub, a chart by star-history.com

Other skills on azure.

airunway-aks-setup
Auto-invoked

airunway-aks-setup

Set up AI Runway on AKS — from bare cluster to running model. Covers cluster verification, controller install, GPU assessment,…

@microsoft@microsoftInstall Skill
appinsights-instrumentation
Auto-invoked

appinsights-instrument…

Guidance for instrumenting webapps with Azure Application Insights. Provides telemetry patterns, SDK setup, and configuration…

@microsoft@microsoftInstall Skill
azure-ai
Auto-invoked

azure-ai

Build and troubleshoot Azure AI Search, Speech, OpenAI, and Document Intelligence apps. WHEN: AI Search, query search, vector…

@microsoft@microsoftInstall Skill
azure-app-onboard-prereq
Auto-invoked

azure-app-onboard-prer…

Assess whether source code is ready to deploy to Azure — the check BEFORE infrastructure work. Evaluates build health, app…

@microsoft@microsoftInstall Skill
azure-app-onboard
Auto-invoked

azure-app-onboard

End-to-end orchestrator: from a business idea, app idea, or existing app to running Azure deployment with cost estimates and…

@microsoft@microsoftInstall Skill
azure-cloud-migrate
Auto-invoked

azure-cloud-migrate

Assess and migrate cross-cloud workloads to Azure with reports and code conversion. Supports Lambda→Functions,…

@microsoft@microsoftInstall Skill

More skills from other plugins.

configuring-horizon

configuring-horizon

Use this skill whenever the user mentions Horizon by name in a Laravel context. Covers the full Horizon lifecycle: installing…

coolify11d66k
@coollabsio@coollabsioInstall Skill
vercel-cli

vercel-cli

Guides deployment, configuration, and troubleshooting with the Vercel CLI. Use when operating Vercel projects or resources…

vercel13d16k
@vercel@vercelInstall Skill
skypilot

skypilot

Use when launching cloud VMs, Kubernetes pods, or Slurm jobs for GPU/TPU/CPU workloads, training or fine-tuning models on cloud…

@skypilot-org@skypilot-orgInstall Skill
pinme

pinme

Use this skill when the user mentions "pinme", or needs to upload files, store to IPFS, create/publish/deploy websites or…

pinme2mo3.8k
@glitternetwork@glitternetworkInstall Skill

Questions about azure-aigateway.

Which coding agents can use azure-aigateway?
azure-aigateway installs in Claude Code, Codex, Cursor, Gemini CLI, GitHub Copilot, OpenCode and Windsurf with the skills CLI, using each agent's flag shown on this page. Flowy's auto-invocation, which fires a skill when your prompt matches, runs in Claude Code only.