ChatGPT has emerged as a revolutionary tool in the rapidly evolving conversational AI landscape, powering intelligent and engaging interactions across numerous applications. As the demand for seamless integration of this advanced technology increases, developers globally are looking to leverage the power of ChatGPT in their projects. In this article, we will delve into the process of developing a ChatGPT plugin. Whether you are an experienced developer or an AI enthusiast, this comprehensive guide will equip you with the knowledge and insights necessary to enhance your next project with the conversational capabilities of ChatGPT.
OpenAI plugins serve as a bridge between ChatGPT and third-party applications, addressing one of the main limitations of ChatGPT – its inability to deliver recent information and execute actions on third-party applications. With the advent of plugins, ChatGPT can now deliver up-to-date information without any cutoff date restrictions and perform actions on third-party applications, such as booking flight tickets. This update paves the way for numerous use cases and business growth opportunities using Generative AI.
What is possible?
As per OpenAI, ChatGPT plugins can fetch real-time information from the internet, retrieve data from a knowledge base, and execute actions on behalf of the user.
- You can expose your product’s APIs to ChatGPT, enabling users to access your product’s services directly from ChatGPT.
- You can establish a knowledge base so that ChatGPT users can access information via ChatGPT chat.
- You can restrict the usage of plugins using various authentication methods, ensuring only authorized users can access the plugin.
Now that you understand what is achievable with ChatGPT plugins, let’s examine the folder structure and crucial components necessary for building your plugin.
Folder Structure
To develop the plugin, you need to create a folder named .well-known in your API’s domain, for instance, example.com/.well-known/. The /.well-known folder must be present on your domain for ChatGPT to connect with your plugin. Without this folder, the plugin installation is not possible.
Once the folder is set up, you need to create two critical components.
- ai-plugin.json
- OpenAPI specification
Let’s assume you created a plugin that allows your employees to submit a leave application via ChatGPT. In this case, the employee can select the plugin from the ChatGPT interface and send a query requesting leave. Upon receiving the query, ChatGPT initially checks your plugin and reviews the details in ai-plugin.json.
The ai-plugin.json file contains basic information about the plugin and the APIs you expose to ChatGPT. In this example, the file would include the API URL of your HRMS application. After retrieving the API details, ChatGPT checks the OpenAPI specification. It is a wrapper that sits on top of your API, guiding the model on how to use the API. In this example, the model will understand how to use the API to submit a leave application. The model can only access the functions you define in the OpenAPI specification. For instance, it can only submit leave applications but cannot modify employee details. After calling the API, the model receives the raw data response and presents it to the user in natural language. For example, if the API response is ‘success,’ ChatGPT would reply to the user, saying, “I’ve submitted a leave application for you.”
How to create ai-plugin.json
The ai-plugin.json file contains basic information about the plugin and the APIs you expose to ChatGPT. Here is an example of ai-plugin.json.
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