azure-aigateway

Configure Azure API Management as an AI Gateway for models, MCP tools, and agents with built-in governance policies. 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 . See references/patterns.md for full steps. Recommended policy order in : See references/policies.md for complete example. See references/troubleshooting.md for details. - Supports semantic caching (60-80% cost savings), token rate limiting, content safety filtering, and jailbreak detection across AI backends - Add Azure OpenAI, AI Foundry models, or convert existing APIs to MCP tools as managed backends with load balancing - Includes five core policy categories: authentication, semantic cache lookup, token limits, content safety, and token metrics for observability - Requires Azure CLI for configuration and testing; integrates with managed identity for secure backend access - Authentication - Managed identity to backend - Semantic Cache Lookup - Check cache before calling AI - Token Limits - Cost control - Content Safety - Filter harmful content - Backend Selection - Load balancing - Metrics - Token usage tracking - Detailed Policies - Full policy examples - Configuration Patterns - Step-by-step patterns - Troubleshooting - Common issues - AI-Gateway Samples - GenAI Gateway Docs - Content...