本文详细介绍了如何利用ChatGPT自身能力，逐步创建自定义插件，无需任何编程基础。通过ChatGPT提示，完成插件代码编写，并利用Replit平台进行部署和运行。文章涵盖了插件开发所需的条件、组件、步骤，以及如何创建main.py文件、API端点、清单文件和OpenAPI定义等关键环节，最终将插件集成到ChatGPT中。此外，文章还提供了视频教程和常见问题解答，帮助读者更好地理解和实践插件开发。

🤔**插件开发条件:** 需要ChatGPT插件访问权限（目前处于测试阶段）、ChatGPT 4（付费版）、一个API和Replit账户。

💻**插件组件:** 包括Python应用程序（存储在Replit上）、API端点（ChatGPT与API交互的触点）、清单文件（包含ChatGPT与API交互的指令）和OpenAPI定义（描述插件及其功能的文档文件）。

⚙️**插件创建步骤:** 包括告知ChatGPT创建插件意图、创建main.py文件、将其粘贴到Replit并设置API密钥、创建API端点、创建清单文件并将其添加到Replit、创建OpenAPI定义并添加到Replit、将应用程序路由添加到main.py、安装和设置Waitress、运行应用程序、替换默认域名、在ChatGPT中安装插件等一系列操作。

💡**插件功能:** 通过与API交互，获取自定义信息，扩展ChatGPT的功能，例如访问特定数据源、执行特定任务等。

🚀**插件部署:** 利用Replit平台进行部署和运行，并通过ChatGPT的插件功能进行访问和使用。

The ability to create a ChatGPT plugin is a real game changer in accessing more information and extending this AI tool’s limits. In this guide, I will show you how to create ChatGPT plugins step by step, using ChatGPT prompts to do all the coding work for you!

That’s right.

You can create your own plugin without hiring any plugin developers or knowing any programming yourself.

Related: Check out all of the official ChatGPT plugins you can install today.

Requirements to Build and Run Your Own ChatGPT Plugin

ChatGPT Plugin access (currently in beta)ChatGPT 4 (paid)An APIReplit account

Plugin Access

To run any of the plugins you create, you need to have access to ChatGPT Plugins, which is currently in beta.

To join the waitlist for plugins, click here and then click on the Join Plugins Waitlist button.

You can still create plugins for later, but you won’t be able to run or test them until you are given access.

ChatGPT 4

GPT 4 is only available to paid ChatGPT users for $20 monthly. It is required for this tutorial because GPT 4’s ability to generate usable programming code is much better than GPT 3.

You can pay for and access GPT 4 from the official ChatGPT interface by going to your account settings.

API

An API is an application programming interface that serves as the middleman between you and another website with information.

Most ChatGPT plugins will communicate with an API and use the information it gets back, combined with its GPT-4 logic, to give you results.

APILayer has some examples of APIs you might use to create a ChatGPT plugin, but you might have your own ideas too.

Replit

Replit is a browser-based code interpreter and editor (IDE) that ChatGPT will communicate with to run your API code. Replit will execute code for you in a browser and is easy to get started with..

Sign up for a Replit account because you need it to get your plugin up and running.

ChatGPT Plugin Components

There are a few different components to our ChatGPT plugin that you should know:

Python App: This is the app stored on Replit that communicates with the API you’ve chosen.API Endpoints: These are touchpoints between ChatGPT and the API that you want to get data from.Manifest File: Your manifest file contains instructions about how ChatGPT can interact with your API endpoints.OpenAPI Definition: This is a documentation file describing your plugin and how it works. It is a wrapper that sites on top of the API to give ChatGPT guidance about how to access it.

How to Create a ChatGPT Plugin

Tell GPT You Want to Create a Plugin

To start, tell ChatGPT what you want to do so that you can prime it for future inputs. Say something like “I want to make a ___ plugin that does ____. What APIs can we use?” or “I want to use the ___ API to create a plugin that does ____.”

Create main.py file

The main.py code is the main code that will run on Replit. To get ChatGPT to generate you your file, say “Create me a complete main.py file that interacts with the __ API. Here is the API documentation.” and then paste in the excerpt documentation. Make sure to include any sample code and information to help ChatGPT create you accurate Python code.

Paste into Replit and Setup Your API Key

Paste your main.py code into Replit.

Since you want your API key to be hidden, you want to select the Secrets tool on the left side and create a key name with your API key as your value. Use the documentation given by Replit to add your key as an import and then access your key in the right spot in the code.

Create Your API Endpoints

Now, you want to create API endpoints for the python code you created. To do this, prompt ChatGPT as follows:

I now need an API endpoint created for my ___ function and a web server created based on my code below:

Insert final Main.py Code Here

ChatGPT should recommend using a web framework like Flask and then will provide you with your API endpoint code.

Overwrite your main.py code with this new API endpoint code!

Create the Manifest File

To create your manifest file in ChatGPT, prompt it:

Write me a manifest file for my app. Here is the code:

*Insert Code Here

END OF CODE.

Here is the documentation for the manifest file and an example:

*Insert Manifest example

Paste in your latest main.py code into the prompt. Add “END OF CODE” so that ChatGPT knows when your code is done.

For the Manifest example, copy all of the text under the “Plugin manifest” section in the Open AI documentation here.

Add Manifest File to Replit

Copy the manifest code that ChatGPT creates and head back to Replit. Create a new file called ai-plugin.json and then paste in your manifest code into this json file.

Important: delete any spaces and underscores in your name_for_model variable.

Create OpenAPI Definition

Next, you have to create a documentation file that explains what your plugin does and how ChatGPT can interact with the plugin.

To create your definition in the easiest way, copy the OpenAPI Definition section from the OpenAI documentation and prompt ChatGPT as follows:

Write me an OpenAPI definition for this app:

*Insert documentation here

Add OpenAPI file to Replit

Back in Replit, create another file called openapi.yaml and paste in your documentation.

Add App Routing to Main.py

When you host your plugin so that you can add it to ChatGPT’s library, you have to setup routing for your ai-plugin.json and openapi.yaml files. Add this code to the bottom of the main.py file:

@app.route(‘/.well-known/ai-plugin.json’)

def serve_ai_plugin():

return send_from_directory(‘.’,

‘ai-plugin.json’,

mimetype=’application/json’)

@app.route(‘/.well-known/openapi.yaml’)

def serve_openapi_yaml():

return send_from_directory(‘.’, ‘openapi.yaml’, mimetype=’text/yaml’)

You also need to add send_from_directory to your from flask import line at the top of the file.

Install and Setup Waitress

In Replit, you must install Waitress, a production-level environment suitable for running your web applications on a server.

Click on Shell under the Tools menu in Replit and type pip install waitress in the shell window that opens on the right.

Underneath the import OS line in your code, add a line that says from waitress import serve

Finally, at the bottom of the main.py file, add this code:

if name == ‘__main__’:

serve(app, host=”0.0.0.0″, port=8080)

Run Application

Hit the Run button and Replit will open up a browser page to tell you that your plugin is now being hosted on the internet.

Replace Your Default Domain Names

Copy the repl.co URL from the webview and in both the ai-plugin.json and openapi.yaml files, you’ll need to replace your-domain.com with the URL Replit gave you.

Install in ChatGPT

Head back to ChatGPT and switch your model to Plugins. Remember, you need to be given access in order to see this model option.

Click on the Plugin Store > Develop Your Own Plugin > My Manifest is Ready

Paste in the base URL provided by Replit and click on Find Manifest File

And that’s it! Click Next, Install For Me, Continue, and Install Plugin to finish up your install.

Video Tutorial

Having trouble learning how to create a ChatGPT plugin? Check out the video guide below to get up and started:

https://www.youtube.com/watch?v=kHVkAvxkuy8

Conclusion

As you can see, it only takes a few steps in order to create a plugin for ChatGPT that interacts with an API and lets you get custom information back. Once you know how to generate the three files, things should go smoothly.

If you have any questions on creating your production apps and extensions, comment down below and let us know!

Frequently Asked Questions (FAQs)