Installation

1. Clone the repository

   git clone https://github.com/Sop-rs/SREBOT_MEOW.git
   cd SREBOT_MEOW
   

2. Set up Python virtual environment

   python3 -m venv .venv
   source venv/bin/activate  # On Windows: venv\Scripts\activate
   

3. Install dependencies

   pip install -r requirements.txt
   

4. Configure environment variables

   nano .env
   

   Edit the existing .env in the repo root and keep the storage path there:

   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

   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:

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:

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