azure-aigateway

Topics in the source

• Azure AI Gateway
• When to Use This Skill
• Quick Reference
• Get Gateway Details
• Test AI Endpoint
• Common Tasks
• Add AI Backend
• Apply AI Governance Policy

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. | 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" | -- | 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 | -- -- -- See references/patterns.md for full steps. Recommended policy order in : 1. Authentication - Managed identity to backend 2.

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