### Installation

1. **Clone the repository**
   ```bash
   git clone https://github.com/Sop-rs/SREBOT_MEOW.git
   cd SREBOT_MEOW
   ```

2. **Set up Python virtual environment**
   ```bash
   python3 -m venv .venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate
   ```

3. **Install dependencies**
   ```bash
   pip install -r requirements.txt
   ```

4. **Configure environment variables**
   ```bash
   nano .env
   ```
   
   Edit the existing `.env` in the repo root and keep the storage path there:
   ```env
   SREBOT_DEPLOY_PATH=/absolute/path/to/SREBOT_MEOW
   DISCORD_KEY=your_discord_bot_token_here
   DEEPL_KEY=your_deepl_api_key_here  # Optional
   GITHUB_WEBHOOK_SECRET=your_webhook_secret  # For auto-deployment
   SREBOT_STORAGE_VOL_PATH=/absolute/path/to/storage
   SREBOT_API_BEARER_TOKEN=your_internal_api_token  # Optional, protects /api/*
   SREBOT_EXTERNAL_PORT=18081  # External bridge port
   SREBOT_EXTERNAL_BEARER_TOKEN=your_external_bridge_token  # Optional, protects the bridge API and websocket
   SREBOT_EXTERNAL_UPSTREAM_URL=http://127.0.0.1:6000  # Internal SREBOT API to proxy
   ```

5. **Run the bot**
   ```bash
   python BotScript.py
   ```

### AXBot bridge process

`ecosystem.config.js` now includes a dedicated PM2 app named `srebot-axbot`.
It proxies read-only SREBOT queries and broadcasts replay/GOB envelopes over
websocket on the same external port.
Its outbox/state files live under the shared storage volume configured in
`.env` via `SREBOT_STORAGE_VOL_PATH`.

Useful commands:

```bash
pm2 start ecosystem.config.js --only srebot-api
pm2 start ecosystem.config.js --only srebot-axbot
pm2 logs srebot-axbot
```

Clients should point their query client at:

```env
SREBOT_API_BASE_URL=http://<srebot-host>:18081
```

The bridge app logs both sides of the transfer:
- incoming client HTTP requests
- outgoing proxy responses
- websocket envelopes broadcast to connected clients
# test