Click here to watch the video sorry for the quality
This project demonstrates a basic chain-of-thought interaction with any LLM (Large Language Model), whether local or hosted remotely, provided it supports the OpenAI-compatible API. You can easily swap out the endpoint and API key to work with various providers such as:
- LMSTUDIO
- Groq
- OpenRouter
- OpenAI API
To run this project, you'll need a local web server such as:
- XAMPP (Windows)
- MAMP (Mac)
- LAMP stack (Linux)
While MySQL is not required, you will need a web server capable of running PHP with the curl extension. Simply running php -S won't work out of the box because the project depends on the curl extension.
- Download and install the required web server (XAMPP, MAMP, or LAMP).
- Copy the
index.htmlandchat.phpfiles to your public web directory:- XAMPP:
htdocs - MAMP:
htdocs - LAMP:
/var/www
- XAMPP:
- Ensure the PHP
curlextension is enabled on your server.
- Local Setup: If you are using a local web server, navigate to
http://localhost/in your browser. - Online Hosting: If deploying on an online server, navigate to your domain and the folder where the files are uploaded.
├── index.html # The main HTML file for the front-end
└── chat.php # PHP script to handle the backend logic
This project is purely for fun, and I usually don’t share this type of work, but I was asked to do so on Reddit. If you want to fork it and improve upon it, I’ll make sure to accept your commits.
A few things to note:
- The chain-of-thought implementation is only 2 steps because my M1 Mac is slow, and I can’t afford the wait. You can expand it as much as you want by calling the function repeatedly.
- Important: The front-end and back-end code is not secure and should not be used for production environments.
- I uploaded this in a hurry. If you'd like me to continue working on it, let me know—but I don’t believe it's worth much at this point.
Feel free to explore, modify, and share your improvements!