Infra, Ops & WorkflowSûr9595/100
Azure Aigateway (Microsoft)
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.
ou envoie-le directement à ton agent.
Installer dans ton projet
$ curl -fsSL https://arboristhree.xyz/cli/install-skill.mjs -o /tmp/arboris-install-skill.mjs && node /tmp/arboris-install-skill.mjs azure-aigateway__microsoft-github-copilot-for-azure__plugins-azure-skills-skills-4f4ed5e3a4dfMicrosoft
microsoft/github-copilot-for-azure
Contenu à copier
---
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:
origin: Microsoft
author: Microsoft
version: "0.0.0-placeholder"
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
```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)Colle ce Markdown dans ton agent ou utilise les boutons ci-dessus pour l’écrire dans ton projet.
Ce que fait Azure Aigateway (Microsoft)
[**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)
Comment utiliser Azure Aigateway (Microsoft)
1
Copie le prompt
Un clic copie le prompt packagé (ou l'envoie à ton agent).
2
L'agent installe le skill
Il ajoute le SKILL.md et ses ressources à ton projet.
3
Activation automatique
Le skill s'active dès que le contexte correspond.
Déclencheurs pour Azure Aigateway (Microsoft)
Dis simplement à ton agent quelque chose comme :
Applique le skill azure-aigateway__microsoft-github-copilot-for-azure__plugins-azure-skills-skills-4f4ed5e3a4df à cette tâche
Utilise azure-aigateway__microsoft-github-copilot-for-azure__plugins-azure-skills-skills-4f4ed5e3a4df pour améliorer cette implémentation
Passe en revue ce sujet avec azure-aigateway__microsoft-github-copilot-for-azure__plugins-azure-skills-skills-4f4ed5e3a4df
Skills liés à Azure Aigateway (Microsoft)
Add CLI Command (.NET)
Add or change a dotnet CLI command, subcommand, or option across the relevant CLI projects. USE FOR: adding or changing a dotnet CLI command/subcommand, adding a new Option<T> or Argument<T>, registering a subcommand in the command tree, changing an option's help description or a command's runtime message, wiring a command parser, or updating --help output.Add Dotnet Aot Command (.NET)
Add, enable, or review a dotnet CLI command or feature in the Native AOT CLI (src/Cli/dotnet-aot) and prove its compatibility. USE FOR: migrating a command or option to AOT, reviewing an AOT migration PR, defining conservative eligibility and managed fallback, changing AotSourceFiles.props or AotDependencies.props, validating AOT/managed parity, NativeAOT-publishing tests, checking binary-size impact, or using the dn harness and separated SDK layout. DO NOT USE FOR: resolving IL trim/AOT analyzer warnings alone (use dotnet-aot-compat), running dotnet.Tests incrementally (use incremental-test), or pure managed CLI work.Add Net Analyzer (.NET)
Add, port, or change a .NET code analysis rule (CA####) under src/Microsoft.CodeAnalysis.NetAnalyzers. USE FOR: implementing a new CA analyzer and its code fixer, porting a rule or PR from the retired dotnet/roslyn-analyzers repo, allocating a diagnostic ID from DiagnosticCategoryAndIdRanges.txt, choosing RuleLevel/severity/category, wiring resx + xlf strings, recording the rule in AnalyzerReleases.Unshipped.md, regenerating the analyzer documentation/sarif files, and writing MSTest analyzer/code-fix tests with the VerifyCS/VerifyVB harness. DO NOT USE FOR: NETSDK#### MSBuild diagnostics (src/Tasks), CS####/BC#### compiler diagnostics or IDE#### analyzers (dotnet/roslyn), or CONTAINER#### diagnostics (src/Containers).