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https://github.com/plastic-labs/tutor-gpt

Theory-of-mind powered AI tutor using o1 style reasoning
https://github.com/plastic-labs/tutor-gpt

ai education hacktoberfest literacy machine-learning o1 prompt-engineering reasoning theory-of-mind tutoring

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Theory-of-mind powered AI tutor using o1 style reasoning

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README 

        
# tutor-gpt

![Static Badge](https://img.shields.io/badge/Version-0.5.1-blue)

[![Discord](https://img.shields.io/discord/1076192451997474938?logo=discord&logoColor=%23ffffff&label=Bloom&labelColor=%235865F2)](https://discord.gg/bloombotai)

![GitHub License](https://img.shields.io/github/license/plastic-labs/tutor-gpt)

![GitHub Repo stars](https://img.shields.io/github/stars/plastic-labs/tutor-gpt)

[![X (formerly Twitter) URL](https://img.shields.io/twitter/url?url=https%3A%2F%2Ftwitter.com%2FBloomBotAI&label=Twitter)](https://twitter.com/BloomBotAI)

[![arXiv](https://img.shields.io/badge/arXiv-2310.06983-b31b1b.svg)](https://arxiv.org/abs/2310.06983)



Tutor-GPT is a LangChain LLM application developed by [Plastic

Labs](https://plasticlabs.ai). It dynamically reasons about your learning needs

and *updates its own prompts* to best serve you.  



We leaned into theory of mind experiments and it is now more than just a

literacy tutor, it’s an expansive learning companion. Read more about how it

works [here](https://plasticlabs.ai/blog/Theory-of-Mind-is-All-You-Need). 



The hosted version of `tutor-gpt` is called [Bloom](https://bloombot.ai) as a

nod to Benjamin Bloom's Two Sigma Problem. You can try the web version at

[chat.bloombot.ai](https://chat.bloombot.ai) or you can join our

[Discord](https://discord.gg/bloombotai) to try out our implementation for free

(while our OpenAI spend lasts 😄).  



Alternatively, you can run your own instance of the bot by following the

instructions below.  



## Project Structure



The tutor-gpt project is split between multiple different modules that split up

the backend logic for different clients. 



- `agent/` - this contains the core logic and prompting architecture 

- `bot/` - this contains the discord bot implementation

- `api/` - this contains an API interface to the tutor-gpt backend

- `www/` - this contains a `NextJS` web front end that can connect to the API interface 

- `common/` - this contains common used in different interfaces

- `supabase/` - contains SQL scripts necessary for setting up local supabase



Most of the project is developed using python with the exception of the NextJS

application. For python `poetry` is used for dependency management and for the

web interface `yarn` is used.



### Supabase



Additionally, this project uses supabase for managing different users,

authentication, and as the database for holding message and conversation

information. We recommend for testing and local development to use a local instance of supabase. The supabase-cli is the best way to do this. 



Follow the [Supabase Documentation](https://supabase.com/docs/guides/cli/local-development) for more information. The project contains a `supabase/` folder that contains the scaffolding SQL migrations necessary for setting up the necessary tables. Once you have the supabase cli installed you can simply run the below command in the `tutor-gpt` folder and a local instance of Supabase will start up. 



> NOTE: Local Supabase relies on docker so ensure docker is also running before running the below command



```bash

supabase start

```



Another, useful note about doing testing locally with supabase is that there is

no need to verify an account when it is created so you can create a new account

on the webui and then immediately sign in with it.



## Installation



> NOTE: The project uses

> [poetry](https://python-poetry.org/docs/#installing-with-the-official-installer)

> and [yarn](https://yarnpkg.com/getting-started/install) for package

> management. 



The below commands will install all the dependencies necessary for running the

tutor-gpt project. We recommend using poetry to setup a virtual environment for

the project. 



```bash

git clone https://github.com/plastic-labs/tutor-gpt.git

cd tutor-gpt

poetry install # install Python dependencies

cd www/

yarn install # install all NodeJS dependencies 

```



### Docker



Alternatively (The recommended way) this project can be built and run with

docker. [Install docker](https://docs.docker.com/get-docker/) and ensure it's

running before proceeding. 



The web front end is built and run separately from the remainder of the

codebase. Below are the commands for building the core of the tutor-gpt project

which includes the necessary dependencies for running either the discord bot or

the FastAPI endpoint.



```bash

git clone https://github.com/plastic-labs/tutor-gpt.git

cd tutor-gpt

docker build -t tutor-gpt-core .

```



Similarly, to build the web interface run the below commands

```bash

cd tutor-gpt/www

docker build -t tutor-gpt-web .

```



> NOTE: for poetry usage



This project uses [poetry](https://python-poetry.org/) to manage dependencies.

To install dependencies locally run `poetry install`. Or alternatively run

`poetry shell` to activate the virtual environment



To activate the virtual environment within the same shell you can use the

following one-liner:



```bash

source $(poetry env info --path)/bin/activate

```



On some systems this may not detect the proper virtual environment. You can

diagnose this by running `poetry env info` directly to see if the virtualenv

is defined.



If using `pyenv` remember to set **prefer-active-python** to true. As per

this section of the [documentation](https://python-poetry.org/docs/managing-environments/).



Another workaround that may work if the above setting does not work is to

continue directly with `poetry shell` or wrap the source command like below



```bash

poetry run source $(poetry env info --path)/bin/activate

```



## Usage



This app requires you to have a few different environment variables set. Create

a `.env` file from the `.env.template`. Depending on which interface you are

running (web or discord) different variables are necessary. This is explained

below



### Required

- **OPENAI_API_KEY**: Go to [OpenAI](https://beta.openai.com/account/api-keys) to generate your own API key.  

- **SUPABASE_URL**: The base URL for your supabase instance  

- **SUPABASE_KEY**: The API key for interacting with your supabase project. This corresponds to the service key, get it from your project settings   

- **CONVERSATION_TABLE**: the name of the table to hold conversation metadata  

- **MEMORY_TABLE**: the name of the table holding messages for different conversations



### Discord Only

- **BOT_TOKEN**: This is the discord bot token. You can find instructions on how

to create a bot and generate a token in the [pycord

docs](https://guide.pycord.dev/getting-started/creating-your-first-bot).  

- **THOUGHT_CHANNEL_ID**: This is the discord channel for the bot to output

thoughts to. Make a channel in your server and copy the ID by right clicking the

channel and copying the link. The channel ID is the last string of numbers in

the link.  



### Web Only

- **URL**: the URL that the web ui is running from by default this should be http://localhost:3000



### Web UI Environment



The `NextJS` application in `www/` also has it's own environment variables which are usually held in the .env.local file. There is another `.env.template` file that you can use for getting started. These are explaing below.



- **NEXT_PUBLIC_URL**: The url the web application will be accessible the default with `NextJS` is http://localhost:3000

- **NEXT_PUBLIC_API_URL**: The url the api backend will be run from the default for `FastAPI is` http://localhost:8000

- **NEXT_PUBLIC_SUPABASE_URL**: The url for your supabase project should be identical to the one used in the python backend 

- **NEXT_PUBLIC_SUPABASE_ANON_KEY**: The API key for supabase this time it is the anon key NOT the service key

- **NEXT_PUBLIC_SENTRY_DSN**: Optional for sentry bug tracking

- **NEXT_PUBLIC_SENTRY_ENVIRONMENT**: Optional for sentry bug tracking

- **NEXT_PUBLIC_POSTHOG_KEY**: Optional Posthog event tracking

- **NEXT_PUBLIC_POSTHOG_HOST**: Option for Posthog event tracking



---



### Docker/Containerization



You can also optionally use the docker containers to run the application locally. Below is the command to run the discord bot locally using a `.env` file that is not within the docker container. Be careful not to add your `.env` in the docker container as this is insecure and can leak your secrets. 



```bash

docker run --env-file .env tutor-gpt-core python -u -m bot.app

```



To run the webui you need to run the backend `FastAPI` and the frontend `NexTJS` containers separately. In two separate terminal instances run the following commands to have both applications run.

The current behaviour will utilize the `.env` file in your local repository and

run the bot.



```bash

docker run -p 8000:8000 --env-file .env tutor-gpt-core python -m uvicorn api.main:app --host 0.0.0.0 --port 8000 # FastAPI Backend

docker run tutor-gpt-web

```



> NOTE: the default run command in the docker file for the core runs the FastAPI backend so you could just run docker run  --env-file .env tutor-gpt-core



### Architecture



Below is high level diagram of the architecture for the bot.

![Tutor-GPT Discord Architecture](assets/ToM Chain Flow.png)



## Contributing



This project is completely open source and welcomes any and all open source contributions. The workflow for contributing is to make a fork of the repository. You can claim an issue in the issues tab or start a new thread to indicate a feature or bug fix you are working on. 



Once you have finished your contribution make a PR pointed at the `staging` branch and it will be reviewed by a project manager. Feel free to join us in our [discord](http://discord.gg/bloombotai) to discuss your changes or get help. 



Once your changes are accepted and merged into staging they will under go a period of live testing before entering the upstream into `main`



## License



Tutor-GPT is licensed under the GPL-3.0 License. Learn more at the [License file](./LICENSE)