Slack Machine

Slack Machine is a simple, yet powerful and extendable Slack bot framework. More than just a bot, Slack Machine is a framework that helps you develop your Slack workspace into a ChatOps powerhouse. Slack Machine is built with an intuitive plugin system that lets you build bots quickly, but also allows for easy code organization. A plugin can look as simple as this:

from machine.plugins.base import MachineBasePlugin
from machine.plugins.message import Message
from machine.plugins.decorators import respond_to
class DeploymentPlugin(MachineBasePlugin):     """Deployments"""
@respond_to(r"deploy (?P<application>\w+) to (?P<environment>\w+)")     async def deploy(self, msg: Message, application, environment):         """deploy <application> <environment>: deploy application to target environment"""         await msg.say(f"Deploying {application} to {environment}")

Breaking Changes

Dropped support for Python 3.8 (v0.38.0)

As of v0.38.0, support for Python 3.8 has been dropped. Python 3.8 has reached end-of-life on 2024-10-07.

Features

• Get started with mininal configuration
• Built on top of the Slack Events API for smoothly responding

to events in semi real-time. Uses Socket Mode so your bot doesn't need to be exposed to the internet!

• Support for rich interactions using the Slack Web API
• High-level API for maximum convenience when building plugins
• Low-level API for maximum flexibility
• Built on top of AsyncIO to ensure good performance by handling

communication with Slack concurrently

Plugin API features:

• Listen and respond to any regular expression
• Respond to Slash Commands
• Capture parts of messages to use as variables in your functions
• Respond to messages in channels, groups and direct message conversations
• Respond with reactions
• Respond in threads
• Respond with ephemeral messages
• Send DMs to any user
• Support for blocks
• Support for message attachments [Legacy 🏚]
• Support for interactive elements
• Support for modals
• Listen and respond to any Slack event supported by the Events API
• Store and retrieve any kind of data in persistent storage (currently Redis, DynamoDB, SQLite and in-memory storage are

supported)

• Schedule actions and messages
• Emit and listen for events
• Help texts for Plugins

Coming Soon

• Support for shortcuts
• ... and much more

Installation

You can add Slack Machine to your uv project by running:

uv add slack-machine

or add it to your Poetry project:

poetry add slack-machine

Lastly, you can install it using pip (not recommended):

bash
$ pip install slack-machine

It is strongly recommended that you install slack-machine inside a virtual environment!

Usage

• Create a directory for your Slack Machine bot: mkdir my-slack-bot && cd my-slack-bot
• Add a localsettings.py file to your bot directory: touch localsettings.py
• Create a new app in Slack:
• Choose to create an app from an App manifest
• Copy/paste the following manifest: manifest.yaml
• Add the Slack App and Bot tokens to your local_settings.py like this:

title="local_settings.py"
    SLACKAPPTOKEN = "xapp-my-app-token"
    SLACKBOTTOKEN = "xoxb-my-bot-token"

• Start the bot with slack-machine
• ...
• Profit!

Documentation

You can find the documentation for Slack Machine here: https://dondebonair.github.io/slack-machine/

Go read it to learn how to properly configure Slack Machine, write plugins, and more!

There is also an example plugin that shows off many of the features of Slack Machine: Slack Machine Kitchensink Plugin