How to Build an AI Chatbot Application with ChatBotKit and Next.js Framework
This tutorial provides a step-by-step guide on how to create a powerful AI chatbot application using the ChatBotKit SDK and Next.js framework. The tutorial covers setting up the environment, creating the necessary pages, and running the application. By the end of this tutorial, you will have a fully functional chatbot application that allows users to interact with the bot and see its responses in real-time.
Key Concepts
One of the key concepts in this tutorial is the ChatBotKit Conversation session. A session is created to provide an easy and secure mechanism for communicating with a chatbot using a predefined set of settings. This is a more secure way of interacting with the chatbot than directly talking to an API, which can be vulnerable to abuse from malicious actors.
The ChatBotKit SDK provides a simple API for creating a conversation session. Once the session is established, the user can interact with the chatbot using the session token. The session token is used to authenticate the user and ensure that the communication is secure.
By using ChatBotKit Conversation sessions, you can easily build powerful AI chatbot applications that provide a secure and easy-to-use interface for developers.
Step By Step Guide
Step 1: Setup
Create a new Next.js project using the following command:
Install the required dependencies by running the following command inside your project directory:
Step 2: Create the Pages
Create a new file pages/index.js
and add the following code:
Create a new file pages/api/session.js
and add the following code:
Step 3: Run the Application
Start the development server by running the following command in your project directory:
Open your browser and navigate to http://localhost:3000
to see the chatbot application.
That's it! You have successfully created a powerful AI application on top of Next.js using the ChatBotKit SDK. The application allows users to have interactive conversations with the bot and see the bot's responses in real-time.