Tutorial 2: Complete Python Slack Bot Course #2: Connecting OpenAI for AI Replies Python Socket Mode
In this video, we continue the Slack Python Bot playlist and add an AI reply handler to our Slack Socket Mode blueprint.
In Part 1, ( • Tutorial 1: Complete Python Slack Bot Cour... ) we connected the Slack API to Python using Socket Mode and WebSockets. In this video, we take the next step and connect our Slack bot to an AI model so it can respond to channel mentions and direct messages.
We’ll walk through how the Slack event reaches our Python app, how to clean Slack mention markup, how to send the user’s message to an AI model, and how to post the generated response back into Slack.
GitHub Repository:
https://github.com/aymalkhalid/Slack-...
Playlist:
• Slack AI Bot with Python | Socket Mode, Op...
You’ll learn how to:
Add an AI handler to a Slack Socket Mode bot
Handle Slack app mentions and direct messages
Clean Slack bot mention markup before sending text to AI
Use environment variables for your OpenAI API key and model
Create a reusable OpenAI client in Python
Call an AI model from your Slack bot
Return AI-generated replies back to Slack
Handle missing API keys and API errors safely
Trim AI responses so they fit Slack message limits
Test the bot in both Slack channels and direct messages
This is a simple but powerful blueprint for building Slack AI assistants, internal company bots, support agents, automation tools, and agentic AI workflows using Python.
🕒 Timestamps:
0:00 Intro - Tech & Code Report
0:07 Architecture Diagram & Socket Mode
0:36 Cleaning Text & Calling the AI Reply
1:10 Posting Generated Responses to Slack
1:42 The Two-Step Mention Cleanup Process
2:16 OpenAI Client Setup & System Prompts
2:53 Runtime Errors & Slack Character Limits
3:22 The Main Generate AI Reply Function
4:03 Testing the Bot in a Slack Channel
4:55 Testing the Bot via Direct Message
5:12 Reviewing Generative AI Tasks
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