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Quick Start
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Quick Start
Ivan edited this page 2025-09-17 14:33:45 -05:00
This guide will get you up and running with your first LXMFy bot in minutes.
Prerequisites
- Python 3.11+
- Reticulum Network Stack (
pip install rns) - LXMFy (
pip install lxmfyor install from source)
Creating Your First Bot (Using the CLI)
The easiest way to start is using the LXMFy command-line tool.
-
Open your terminal in the directory where you want to create your bot project.
-
Run the create command:
lxmfy create my_first_botThis command will generate the following files:
my_first_bot.py: Your main bot file, configured with sensible defaults.cogs/: A directory for bot extensions (cogs).cogs/__init__.py: Makes thecogsdirectory a Python package.cogs/basic.py: An example cog with simple "hello" and "about" commands.data/: A directory where the bot will store its data (using JSON by default).config/: A directory where the bot stores its identity and announce status.
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Review the
my_first_bot.pyfile:from lxmfy import LXMFBot bot = LXMFBot( name="my_first_bot", # Bot name used in announces/identity announce=600, # Announce interval in seconds (10 minutes) announce_immediately=True, # Announce on first run? admins=set(), # Set of admin LXMF address hashes hot_reloading=False, # Enable/disable hot reloading of cogs rate_limit=5, # Max messages per minute per user cooldown=60, # Cooldown period in seconds for rate limit max_warnings=3, # Warnings before ban for spam warning_timeout=300, # Time (seconds) before warnings reset command_prefix="/", # Prefix for commands (e.g., /hello) cogs_dir="cogs", # Directory to load cogs from cogs_enabled=True, # Enable/disable loading cogs permissions_enabled=False, # Enable/disable the role-based permission system storage_type="json", # Storage backend ("json" or "sqlite") storage_path="data", # Path for storage files/database first_message_enabled=True, # Enable special handling for first messages event_logging_enabled=True, # Log events to storage? max_logged_events=1000, # Max events to keep in log event_middleware_enabled=True, # Enable event middleware? announce_enabled=True # Enable/disable network announces ) # To add an admin, find your LXMF address hash and add it here: # bot.config.admins.add("your_lxmf_hash_here") # bot.admins = bot.config.admins # Ensure the running instance knows # Example of preparing an LXMF icon field (optional) # from lxmfy import IconAppearance, pack_icon_appearance_field # try: # icon_data = IconAppearance(icon_name="emoji_objects", fg_color=b'\xFF\xA5\x00', bg_color=b'\x8B\x45\x13') # Orange on Brown # bot.icon_field = pack_icon_appearance_field(icon_data) # Store for use in send/reply # except Exception as e: # print(f"Could not prepare icon field: {e}") # bot.icon_field = None if __name__ == "__main__": print(f"Starting bot: {bot.config.name}") print(f"Bot LXMF Address: {bot.local.hash}") # Prints the bot's address bot.run() -
(Optional) Add Your Admin Hash:
- Find your LXMF address hash (e.g., from your Reticulum client like Sideband or NomadNet).
- Uncomment and edit the
bot.config.admins.add(...)line inmy_first_bot.py, replacing"your_lxmf_hash_here"with your actual hash.
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Run Your Bot:
python my_first_bot.pyYour bot will start, print its LXMF address, potentially send an announce message over the Reticulum network, and begin listening for messages.
Interacting With Your Bot
- Send a message to the bot's LXMF address from your client.
- Try the example command: Send
/helloto the bot. It should reply with "Hello<your_hash>!". If you uncommented the icon example above, this reply might also carry an icon. - Try the help command: Send
/help.
Next Steps
- Explore the Creating Bots guide for more details on adding commands, using cogs, and different bot types.
- Check the API Reference for detailed information on framework components.