使用Express + Vercel和PluginLab创建ChatGPT插件

Table of Contents

1. Introduction
2. Signing Up for Plugin Lab
3. Choosing a Template
4. Deploying the Plugin on Virtual
5. Adding API Keys
6. Creating a Custom Plugin
7. Running the Plugin Locally
8. Updating and Customizing the Plugin
9. Pushing Changes to GitHub
10. Updating the Manifest and Open API Specification
11. Reinstalling the Plugin on Chat GPT
12. Recap and Next Steps

Introduction

In this tutorial, we will explore how to Create an Express JS weather GPT plugin using Versal GitHub and Plugin Lab. We will start by signing up for Plugin Lab and choosing a template. Then, we will deploy the plugin on Virtual, add the necessary API keys, and create a custom plugin. We will also run the plugin locally, update and customize it, and push changes to GitHub. Lastly, we will update the Manifest and Open API specification, reinstall the plugin on Chat GPT, and recap the steps covered. Let's get started!

1. Signing Up for Plugin Lab

To begin, You will need to sign up for Plugin Lab. Plugin Lab is a free tool created to help you create chat GPT plugins. It allows you to get started quickly and provides templates for creating share GPT plugins. Additionally, Plugin Lab tracks user events, provides user information, and offers features like authentication and monetization for your plugins.

2. Choosing a Template

Once you have created an account on Plugin Lab, you can choose a template to start with. Plugin Lab offers various templates, and for this tutorial, we will be using the Express.js weather GPT template. This template provides a realistic example of what can be built with plugins. Simply click on the template and proceed to the next step.

3. Deploying the Plugin on Virtual

After choosing the Express.js weather GPT template, you will need to deploy the plugin on Virtual. Virtual is a cloud platform that allows you to deploy your Express API. Virtual will communicate with Plugin Lab and your plugin to provide powerful features like authentication, payment codes, and user tracking.

4. Adding API Keys

Once the deployment is complete, you will be prompted to add API keys in the environment variables. One of the required keys is the weather API key. You can obtain this key for free by following the provided link. Copy the API key and paste it into the designated field. After adding the API key, click on deploy to proceed.

5. Creating a Custom Plugin

Now that your plugin is deployed, you may want to customize it. For example, let's say we want to create a coffee shop plugin instead of a weather plugin. We can start by creating a new endpoint for retrieving a list of coffees. By modifying the Express API code, we can customize the plugin to match our desired functionality.

6. Running the Plugin Locally

To ensure that everything is working as intended, you can run the modified plugin locally using Versal. If you don't have Versal, you will need to install it using npm. Once Versal is installed, you can start the local server and test the API endpoints to confirm that the changes have been successfully implemented.

7. Updating and Customizing the Plugin

After confirming that the plugin works locally, you can push the changes to GitHub and deploy the updated version on Virtual. This will automatically trigger a new deployment to Virtual. To make sure Chat GPT recognizes the updated plugin, you will need to update the Manifest file and Open API specification. These files can be managed through Plugin Lab.

8. Pushing Changes to GitHub

To update the plugin on Virtual, you will need to push the changes to your GitHub repository. Versal creates the repository for you when deploying the plugin. By pushing the changes to the main branch, Virtual will detect the update and deploy the latest version of the plugin.

9. Updating the Manifest and Open API Specification

To inform Chat GPT about the changes made to the plugin, you will need to update the Manifest file and Open API specification. These files provide information about the plugin's logo, description, endpoints, and responses. By updating these files in Plugin Lab, the changes will be reflected in Chat GPT when users Interact with the plugin.

10. Reinstalling the Plugin on Chat GPT

After updating the Manifest and Open API specification, you will need to reinstall the plugin on Chat GPT to ensure that the changes take effect. By reinstalling the plugin, Chat GPT will fetch the updated files and use the modified version of the plugin.

11. Recap and Next Steps

In summary, we began by signing up for Plugin Lab and choosing a template. We then deployed the plugin on Virtual, added API keys, and created a custom plugin. After running the plugin locally and updating it on GitHub, we updated the Manifest and Open API specification through Plugin Lab. Finally, we reinstalled the plugin on Chat GPT and reviewed the steps covered. As the next step, you may consider exploring additional features like authentication and monetization provided by Plugin Lab.

FAQ

Q: Can I customize the plugin further after deployment? A: Yes, you can customize the plugin even after deployment. By making changes to the code and pushing them to GitHub, you can update the plugin on Virtual and Plugin Lab accordingly.

Q: Can I add more API endpoints to the plugin? A: Absolutely! You can add additional API endpoints to the plugin by creating new functions and modifying the Express API code. This allows you to expand the functionality and cater to specific user needs.

Q: Is there a limit to the number of plugins I can create on Plugin Lab? A: There is no limit to the number of plugins you can create on Plugin Lab. Feel free to create and experiment with as many plugins as you like.

Q: Can I monetize my plugins created using Plugin Lab? A: Yes, Plugin Lab provides monetization features that allow you to earn revenue from your plugins. You can easily enable monetization through Plugin Lab's user-friendly interface.

Q: How can I track user events and user information for my plugins? A: Plugin Lab automatically tracks user events and provides information about your users. These insights can be accessed through the dashboard on Plugin Lab's interface.