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AI-Gateway
Labs to explore AI Models, MCP servers, and Agents with the AI Gateway powered by Azure API Management and Microsoft Foundry 🚀
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Quality signals
ActiveNo testsNo CIThin docsNo licensePopular
AI summary
Auto-generated overview of what this skill does and when to reach for it.
Hands-on labs for managing AI models, tools, and agents using Azure API Management’s AI Gateway with enterprise-grade policies.
Use this when
- You need to load-balance requests across multiple AI model endpoints
- You want to cache AI responses to reduce costs and latency
- You’re building agentic apps with MCP tools and function calling
- You need to enforce token-based rate limits or quotas
- You want to route requests to different models based on version or use case
Don't use when
- For simple local prototyping without enterprise needs
- If you’re not using Azure API Management
- When you need a lightweight local mock instead of a full gateway
Capabilities
- Route requests across multiple AI model backends with load balancing
- Cache responses using vector similarity for faster, cheaper completions
- Enforce token-based rate limits and quotas with FinOps controls
- Route requests to different models based on version or use case
- Secure AI access with OAuth 2.0 and content safety filtering
- Integrate MCP tools and function calling with enterprise policies
InstallMCP + SKILLInstall as a Claude Code skill
Universal installANY TOOL
$ npx skillcity@latest Azure-Samples/AI-GatewayAuto-detects the skill or MCP server in this repo and installs it for Claude Code, Codex, Cursor, Cline, OpenCode, Gemini CLI, Anti-Gravity, OpenClaw and Hermes.
Requires Node.js 18+ (ships with npx).
Or install manually
# Install into ~/.claude/skills/ mkdir -p ~/.claude/skills/ai-gateway curl -fsSL https://raw.githubusercontent.com/Azure-Samples/AI-Gateway/main/SKILL.md -o ~/.claude/skills/ai-gateway/SKILL.md
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