# ChatSBT - Multi-Model Chat Application

A modern chat application supporting multiple AI models through OpenRouter API.

## Features

- Chat with multiple AI models (Qwen, Deepseek, Kimi)
- Real-time streaming responses
- Conversation history
- Simple REST API backend
- Modern Svelte frontend

## Tech Stack

### Frontend
- Svelte
- DaisyUI (Tailwind component library)
- Vite

### Backend
- Starlette (async Python web framework)
- LangChain (LLM orchestration)
- LangGraph (for potential future agent workflows)
- OpenRouter API (multi-model provider)

## API Endpoints

| Method | Path | Description |
|--------|------|-------------|
| POST   | /chats | Create new chat session |
| GET    | /chats/{chat_id} | Get chat history |
| POST   | /chats/{chat_id}/messages | Post new message |
| GET    | /chats/{chat_id}/stream | Stream response from AI |

## Prerequisites

- Python 3.11+
- Deno
- UV (Python package manager)
- OpenRouter API key (set in `.env` file)

## Installation

1. Clone the repository
2. Set up environment variables:

```bash
echo "OPENROUTER_API_KEY=your_key_here" > .env
echo "OPENROUTER_BASE_URL=https://openrouter.ai/api/v1" >> .env
```


4. Install frontend dependencies:

```bash
cd chatsbt
deno install
```

## Running

1. Start backend server:

```bash
uv run app.py
```

2. Start the frontend (another terminal):

```bash
cd chatsbt
deno run dev
```

The application will be available at `http://localhost:5173`

## Configuration

Available models:
- `qwen/qwen3-235b-a22b-2507`
- `deepseek/deepseek-r1-0528`
- `moonshotai/kimi-k2`