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'Configure Azure API Management as an AI Gateway for AI models, MCP tools, and agents. WHEN: semantic caching,

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thiagofernandes1987-create/APEX
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2026年4月18日 09:35
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SKILL.md
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name
azure-aigateway
description
'Configure Azure API Management as an AI Gateway for AI models, MCP tools, and agents. WHEN: semantic caching,
# 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) ## Diff History - **v00.33.0**: Ingested from skills-main --- ## Why This Skill Exists 'Configure Azure API Management as an AI Gateway for AI models, MCP tools, and agents. WHEN: semantic caching, <!-- SR_40: auto-generated from frontmatter `purpose`/`description` (OPP-Phase3). Expand with domain-specific rationale. --> ## What If Fails - condition: Código não disponível para análise <!-- SR_40: auto-generated from frontmatter `what_if_fails` (OPP-Phase3). -->
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