MIXAPI

🥈Silver

大模型API网关-全新AI大模型接口管理与API聚合分发系统 , 支持将多种大模型转换成统一的OpenAI兼容接口,Claude接口,Gemini接口，可供个人或者企业内部大模型API 统一管理和渠道分发使用(key管理与二次分发)，支持国际国内所有主流大模型，gemini,claude,qwen3,kimi-k2,豆包等，提供单可执行文件， docker镜像，一键部署，开箱即用，完全开源，自主可控！本项目基于New-API和One-API，整合了NewAPI,OneAPI所有功能及众多第三方插件为一身，功能超强！

115270Updated 1mo ago

Intermediate30min to implementautomation

Saves ~240 min per use

Quick InstallView Source

git clone https://github.com/aiprodcoder/MIXAPI.git

Works with:

Claude

Overview

About This Skill

Setup & Installation

Quick Install

No install command available. Check the GitHub repository for manual installation instructions.

Alternative Install (Git Clone)

git clone https://github.com/aiprodcoder/MIXAPI

Requirements

Claude Code or compatible AI agent
Works with: Claude

Quick Start Guide

Install the Skill

Copy the install command above and run it in your terminal.

Open Your AI Agent

Launch Claude Code, Cursor, or your preferred AI coding agent.

Try It Out

Use the prompt template or examples below to test the skill.

Customize

Adapt the skill to your specific use case and workflow.

Usage Examples

Prompt Template

I want to use MIXAPI to manage and distribute API keys for multiple AI models including [MODEL_1], [MODEL_2], and [MODEL_3] for my company [COMPANY] in the [INDUSTRY] sector. I need a step-by-step guide to deploy MIXAPI using Docker and set up key management for these models. Additionally, I want to integrate MIXAPI with my existing systems to ensure seamless API distribution and monitoring.

Example Output

# MIXAPI Deployment and API Management Guide

## Step 1: Prerequisites
- Ensure Docker is installed on your system.
- Have API keys ready for the models you wish to integrate: [MODEL_1], [MODEL_2], and [MODEL_3].
- Prepare your company's internal systems for integration.

## Step 2: Deploying MIXAPI
1. **Pull the Docker Image**:
```bash
docker pull mixapi/mixapi:latest
```
2. **Run the Container**:
```bash
docker run -d -p 3000:3000 --name mixapi mixapi/mixapi:latest
```
3. **Access the Web Interface**: Open your browser and navigate to `http://localhost:3000` to start the configuration.

## Step 3: Configuring API Keys
1. **Add API Keys**: Navigate to the 'API Keys' section and add the keys for [MODEL_1], [MODEL_2], and [MODEL_3].
2. **Set Up Key Management**: Configure key distribution and access controls according to your company's policies.

## Step 4: Integrating with Existing Systems
1. **API Endpoints**: Use the provided OpenAI, Claude, and Gemini compatible endpoints to integrate with your existing applications.
2. **Monitoring**: Set up monitoring tools to track API usage and performance.

## Step 5: Testing and Optimization
1. **Test API Calls**: Ensure all API calls are functioning correctly and optimize as needed.
2. **Documentation**: Provide internal documentation for your team to use MIXAPI effectively.

## Conclusion
MIXAPI provides a robust solution for managing and distributing API keys for multiple AI models. By following these steps, you can ensure seamless integration and efficient API management for [COMPANY] in the [INDUSTRY] sector.