test/README.md

Moxiegen

AI Chat Interface with OpenAI and Ollama support.

Features

• AI Chat Interface: Chat with AI models from OpenAI or Ollama
• File Uploads: Attach files to your chat messages
• Admin Panel: Manage AI endpoints and users
• Multi-Endpoint Support: Configure multiple AI backends
• User Authentication: Secure login system with SQLite database

Tech Stack

• Backend: Python (FastAPI)
• Frontend: SvelteKit
• Database: SQLite
• Auth: JWT tokens

Quick Start

Backend Setup

cd backend

# Create virtual environment
python -m venv venv
source venv/bin/activate  # On Windows: venv\Scripts\activate

# Install dependencies
pip install -r requirements.txt

# Run the server
uvicorn app.main:app --reload --host 0.0.0.0 --port 8000

Frontend Setup

cd frontend

# Install dependencies
npm install

# Run development server
npm run dev

Access the Application

• Frontend: http://localhost:5173
• Backend API: http://localhost:8000
• API Docs: http://localhost:8000/docs

Default Admin Login

• Email: admin@moxiegen.local
• Password: admin123

Configuration

Adding AI Endpoints

1. Login as admin
2. Go to Admin Panel → AI Endpoints
3. Click "Add Endpoint"
4. Configure:

For OpenAI:

• Type: OpenAI Compatible
• Base URL: https://api.openai.com/v1
• API Key: Your OpenAI API key
• Model: gpt-3.5-turbo or gpt-4

For Ollama:

• Type: Ollama
• Base URL: http://localhost:11434
• API Key: Leave empty
• Model: Your Ollama model name (e.g., llama2)

Project Structure

moxiegen/
├── backend/
│   ├── app/
│   │   ├── api/           # API routes
│   │   ├── models/        # Database models
│   │   ├── schemas/       # Pydantic schemas
│   │   ├── core/          # Config, auth, database
│   │   └── main.py        # FastAPI app
│   ├── uploads/           # Uploaded files
│   └── requirements.txt
├── frontend/
│   ├── src/
│   │   ├── lib/           # Utilities, API client
│   │   ├── routes/        # SvelteKit routes
│   │   └── app.css        # Global styles
│   └── package.json
└── README.md

License

MIT