Building a Full-Stack Chatbot App in Python Using Reflex and Agno

More and more companies are integrating intelligent chatbots into their apps and websites. The advantage of chatbots is that they are available 24/7. That allows companies to save time and money.

In the next few years, almost every app will have a chat user interface. Most people are already familiar with this interface from apps like WhatsApp. Meta, Google, and Microsoft have already begun integrating intelligent chat interfaces into their products.

The intelligent chatbots of the future will not only be able to output text but also offer widgets and other interaction options. For this reason, it makes sense to learn how to create custom chat interfaces.

In this guide, we’ll explain how to build a well-structured chat app using Reflex. We’ll also use Agno as a multi-agent framework.

Sneak Peak 👇🏽

We’ll discuss the following points:

• Why does a custom chat interface make sense?

• Tech Stack

  • Web App Framework Reflex

  • Multi-Agent Framework Agno

• Model View Controller Pattern

  • Advantages

  • Disadvantages

• Setup of the development environment

• Best Practices: Project Structure of the Chat App

• Implementation of the Chat App

• Conclusion

So we’ve no time to waste. Let’s build a full-stack chatbot app in pure Python from scratch! 🚀