AI-Gateway

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AI-Gateway is an open-source DevOps & Infrastructure tool that provides labs to explore AI Models, MCP servers, and Agents. It is powered by Azure API Management and Microsoft Foundry, offering an enterprise-grade gateway for managing AI solutions.

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At a glance

Pricing

Open Source

Free tier

Yes

API

Yes

Skill level

Technical

About

What is AI-Gateway?

AI-Gateway is a comprehensive set of labs designed to help developers and platform engineers explore and manage AI Models, MCP servers, and Agents. Powered by Azure API Management and Microsoft Foundry, it offers an enterprise-grade gateway for building production-ready AI applications. Key features include robust security with OAuth 2.0 and content safety filtering, enhanced performance through load balancing and semantic caching, and detailed observability with token metrics and built-in logging. It also provides cost control via rate limiting and quota management, and extensibility with MCP protocol support and multi-model routing. The labs offer hands-on Jupyter notebooks, Bicep infrastructure templates, and APIM policies for easy deployment to Azure subscriptions, making it ideal for those looking to implement secure, reliable, and scalable AI solutions.

Best used for

Ideal for developers and platform engineers who need to implement enterprise-grade AI solutions, manage access to large language models, and build secure agentic applications. Especially valuable for those leveraging Azure API Management and Microsoft Foundry for scalable and controlled AI deployments.

Common actions

manage AI models

secure AI applications

optimize AI performance

control AI costs

integrate AI tools

automated workflowdeepfakecollaborationlow-code/no-codeopen-sourceface swappinggithub copilotworkflows"AI Agents"

Capabilities

Key features

Manage AI Models
Explore MCP servers
Build AI Agents
Security (OAuth 2.0)
Performance (load balancing)
Observability (token metrics)
Cost control (rate limiting)

Target Audience

developer

Integrations

azure-api-managementmicrosoft-foundrygithub-copilotopenai

Pricing & Plans

Open Source

Free

FAQs

What is the primary purpose of the AI Gateway?

The AI Gateway provides a set of labs to explore and manage AI Models, MCP servers, and Agents. It focuses on enabling enterprise-grade AI applications with features like security, performance, observability, and cost control, leveraging Azure API Management and Microsoft Foundry.

What kind of labs are available in AI Gateway?

The AI Gateway offers over 30 hands-on labs covering various aspects, including managing LLMs with policies, enabling secure tool access via MCP protocol, and building agentic applications with orchestration frameworks. Each lab includes Jupyter notebooks, Bicep templates, and APIM policies.

How does AI Gateway help with cost control for AI models?

AI Gateway provides features like rate limiting and quota management to control token consumption and manage AI budgets. It also supports a FinOps framework and semantic caching to reduce costs by reusing responses and optimizing model usage.

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Subcategories trending in Coding & Development

Open Source & Models Code Assistants No-Code / Low-Code Testing & QA Backend & APIs Prompt Engineering

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Also listed in

This tool also appears in

AI Agents & Automation › AI Frameworks & Infra

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