# AI Gateway Integration

AI Gateway can be used as a **centralized intermediary backend** for various AI-powered applications.

Instead of connecting applications directly to individual AI providers, AI Gateway acts as a unified access layer that routes requests, enforces usage policies, and provides observability.

This approach allows organizations to manage AI usage consistently across different tools and environments.

## Prerequisites

Before you begin, make sure you have:

* An active [**AI Gateway instance**](/welcome/ai-gateway/create-an-ai-gateway.md)
* An AI Gateway **API Access key**
* Access to [**API docs**](https://docs.console.zenlayer.com/api-reference/compute/aig)
* (Optional) Postman or another API testing tool

### Authentication

All requests to AI Gateway require authentication using your API key.

Include the API key in the request header:

```
Authorization: Bearer YOUR_API_KEY
```

### Unified API Endpoint

AI Gateway exposes a unified API endpoint for all supported models.

```
POST https://gateway.theturbo.ai/vi
```

## Supported Application Types

AI Gateway can be integrated with a wide range of third-party applications that support custom API endpoints and API keys, including:

### **AI Chat Applications**

End-user chat interfaces for interacting with large language models.

* ChatGPT-web-midjourney-proxy
* NextChat
* Lobe Chat
* ChatGPT Friend (uTools Plugin)
* Chatbox
* Cherry Studio
* ChatWise

### **AI-Powered IDEs**

Development environments with built-in AI capabilities for coding assistance.

* Cursor

### **AI Coding Assistants**

Standalone AI tools designed specifically for code understanding, generation, and refactoring.

* Claude Code
* Continue
* OpenAI Codex
* OpenCode

### **AI Command-Line Tools**

CLI-based tools that enable developers to interact with AI models from the terminal.

* Gemini CLI

### **Internal Tools and Custom Applications**

In-house tools or custom-built applications that require AI capabilities via a unified API backend.

Most of these applications require only minimal configuration—such as setting an API base URL and API key—to route all AI requests through AI Gateway.


---

# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.console.zenlayer.com/welcome/ai-gateway/ai-gateway-integration.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.