In this tutorial, we will create a simple to-do list plugin using OpenAI’s new plugin system. We will be using Python and deploying the plugin on Replit. The plugin will be authenticated using a service level authentication token and will allow users to create, view, and delete to-do items. We will also be defining an OpenAPI specification to match the endpoints defined in our plugin.
ChatGPT Plugins
The ChatGPT plugin system enables language models to interact with external tools and services, providing access to information and enabling safe, constrained actions. Plugins can address challenges associated with large language models, including keeping up with recent events, accessing up-to-date information, and providing evidence-based references to enhance the model’s responses.
Plugins also enable users to assess the trustworthiness of the model’s output and double-check its accuracy. However, there are also risks associated with plugins, including the potential for harmful or unintended actions.
The development of the ChatGPT plugin platform has included several safeguards and red-teaming exercises to identify potential risks and inform safety-by-design mitigations. The deployment of access to plugins is being rolled out gradually, and researchers are encouraged to study safety risks and mitigations in this area. The ChatGPT plugin system has wide-ranging societal implications and may have a significant economic impact.
Learn more or signup here: https://openai.com/blog/chatgpt-plugins
Github Code
https://github.com/ruvnet/chatgpt_plugin_python
Purpose of Plugin
A simple To-do ChatGPT Plugin using python and deployed on replit.
Prerequisites
To complete this tutorial, you will need the following:
- A basic understanding of Python
- A Replit account (you can sign up for free at replit.com)
- An OpenAI API key (you can sign up for free at openai.com)
- A text editor or the Replit IDE
Replit
Replit is an online integrated development environment (IDE) that allows you to code in many programming languages, collaborate with others in real-time, and host and run your applications in the cloud. It’s a great platform for beginners, educators, and professionals who want to quickly spin up a new project or prototype, or for teams who want to work together on code.
Plugin Flow:
- Create a manifest file: Host a manifest file at yourdomain.com/.well-known/ manifest.json, containing metadata about the plugin, authentication details, and an OpenAPI spec for the exposed endpoints.
- Register the plug
