Headless ChatGPT

What is this

Headless ChatGPT is a browser-based API emulator for ChatGPT. It is a local server that controls a puppeteer Chrome instance, which allows using this server like a ChatGPT API.

You do not need an API key. You just need a ChatGPT account.

In essence: I did not have API access because of a strange and persistent error, so I made my own API. Maybe it will be useful for someone else too.

Software that use Headless ChatGPT:

• CodeGPT Assistant
• PR Assistant
• Persona Generator

Usage

1. Start the server with node <path-to-server.js> <preferred-port>. This will start the puppet browser and the controller server will begin listening at the <preferred-port>.
2. Log in to ChatGPT and go through all pop-ups.
3. You are ready to go.

Check the API paths documentation below for the API itself.

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API Paths Documentation

The server runs on a default port of 3000, unless specified otherwise when starting the server.

All you really need to get started with ChatGPT are /queryAi and /retry.

GET /chatgpt

This endpoint navigates the browser to the ChatGPT page.

• Response: Success message or an error message if there was a problem navigating to the ChatGPT page.

GET /start

This endpoint starts the browser.

• Response: Success message or an error message if there was a problem starting the browser.

GET /visit

This endpoint visits a specified URL.

• Request: URL to visit as query parameter url
• Response: Success message containing the visited URL or an error message if there was a problem visiting the page.

GET /close

This endpoint closes the browser.

• Response: Success message or an error message if there was a problem closing the browser.

GET /currentChatList

This endpoint returns an array of the currently loaded chat names on the sidebar.

• Response: Either returns the list/array of past chats, or returns an error message.

GET /currentGptList

This endpoint returns an array of the currently loaded gpt names on the sidebar, in addition to "GPT-4" and "GPT-3.5" even though they are hidden behind more clicks normally.

• Response: Either returns the list/array of recently used and available GPTs, or returns an error message.

POST /type

This endpoint types a string into the browser.

• Request: JSON body with a string property string
• Response: Success message containing the typed string or an error message if there was a problem typing into the browser.

POST /select

This endpoint selects an element in the browser using the provided selector.

• Request: JSON body with a string property selector
• Response: JSON body with the boolean result of the operation or an error message if there was a problem selecting the element.

POST /typeInElem

This endpoint types a string into the selected element in the browser.

• Request: JSON body with properties selector and string
• Response: JSON body with the boolean result of the operation or an error message if there was a problem typing into the selected element.

POST /getInnerHtml

This endpoint gets the inner HTML of the selected element in the browser.

• Request: JSON body with a string property selector
• Response: JSON body with the innerHtml of the selected element or an error message if there was a problem retrieving the inner HTML.

POST /getInnerHtmlOfLast

This endpoint gets the inner HTML of the last element that matches the provided selector in the browser.

• Request: JSON body with a string property selector
• Response: JSON body with the innerHtml of the selected element or an error message if there was a problem retrieving the inner HTML.

POST /queryAi

This endpoint queries the AI with the provided text and optional context.

• Request: JSON body with a string property text and optional context
• Response: JSON body with the AI's response text or an error message if there was a problem querying the AI.

POST /newChat

This endpoint starts a new chat with the desired model or gpt. Defaults to GPT-3.5.

• Request: JSON body with a "model" string field. This must contain the name of the GPT as it appears on the recent GPTs list, or it must contain one of "GPT-4" or "GPT-3.5". For backwards compatibility, sending "3" or "4" is also fine. Refer to GET /currentGptList for the exact strings.
• Response: Success message or error message.

POST /selectChat

This endpoint selects and navigates to a previous chat the link to which is currently on the sidebar.

• Request: JSON body with a "chatName" string field. This must contain the name as it appears on the sidebar, or as has been received by the GET /currentChatList path. In case of conflicts, go with the latter.
• Response: Success message or error message.

POST /loadMoreChats

This endpoint loads more past chats onto the sidebar.

• Request: Optional JSON body with a "isAllChats" field. If this field exists in the request, all previous chats will be loaded onto the sidebar. This is a lengthy process and may lead to natural timeouts, depending on how many you have. A single update step without that is much faster in comparison.
• Response: Success message or error message.

GET /retry

This endpoint retries the last query on the AI.

• Response: JSON body with the AI's response text or an error message if there was a problem retrying the last query.

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Installation instructions

1. Run npm install headless-chatgpt.
2. Run npm install to install any missing dependencies.
3. Run node node_modules/puppeteer/install.js to make sure puppeteer's puppet Chrome is successfully installed. This is a ~120MB download.

How to contribute

Feel free to make pull requests or open issues in the github repo. A lot of new features can easily be added.