Agent skill · software engineering · aiskillstore
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 gateway, LLM policies, configure AI backend, token metrics, AI cost control, convert API to MCP, import OpenAPI to gateway.
Why this skill is useful
Adds executable scripts for configuring Azure API Management as an AI Gateway, including governance policies and backend integration that are not commonly known.
What it needs
Requires azure-cli installed locally. Requires azure account access. About 2k tokens when loaded. Last updated 2026-08-07. 405 stars on the source repository.
What this skill does
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. 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 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 --- Get Gateway Details --- Test AI Endpoint --- Common Tasks Add AI Backend See references/patterns.md for full steps. 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 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 for details. …
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills aiskillstore/azure-aigateway