GPT Engineer

Specify what you want it to build, the AI asks for clarification, and then builds it.

GPT Engineer is made to be easy to adapt, extend, and make your agent learn how you want your code to look. It generates an entire codebase based on a prompt.

Demo 👶🤖

Project philosophy

Simple to get value
Flexible and easy to add new own "AI steps". See steps.py.
Incrementally build towards a user experience of:
1. high level prompting
2. giving feedback to the AI that it will remember over time
Fast handovers back and forth between AI and human
Simplicity, all computation is "resumable" and persisted to the filesystem

Usage

Choose either stable or development.

For stable release:

pip install gpt-engineer

For development:

git clone git@github.com:AntonOsika/gpt-engineer.git
cd gpt-engineer
make install
source venv/bin/activate

Setup

With an api key that has GPT4 access run:

export OPENAI_API_KEY=[your api key]

Run:

Create an empty folder. If inside the repo, you can run:
- cp -r projects/example/ projects/my-new-project
Fill in the main_prompt file in your new folder
Run: gpt-engineer projects/my-new-project

Results

Check the generated files in projects/my-new-project/workspace

Limitations

Implementing additional chain of thought prompting, e.g. Reflexion, should be able to make it more reliable and not miss requested functionality in the main prompt.

Contributors welcome! If you are unsure what to add, check out the ideas listed in the Projects tab in the GitHub repo.

Features

You can specify the "identity" of the AI agent by editing the files in the identity folder.

Editing the identity, and evolving the main_prompt, is currently how you make the agent remember things between projects.

Each step in steps.py will have its communication history with GPT4 stored in the logs folder, and can be rerun with scripts/rerun_edited_message_logs.py.

Contributing

If you want to contribute, please check out the projects or issues tab in the GitHub repo and please read the contributing document on how to contribute.

High resolution example

https://github.com/AntonOsika/gpt-engineer/assets/4467025/6e362e45-4a94-4b0d-973d-393a31d92d9b

Release files for gpt-engineer 0.0.3

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for gpt-engineer 0.0.3
File	Size	Uploaded
gpt-engineer-0.0.3.tar.gz	8.0 kB	Jun 18, 2023	Details

Built distribution (wheel)

Table of built distributions (wheels) for gpt-engineer 0.0.3
File	Interpreter	ABI	Platform	Reset
gpt_engineer-0.0.3-py3-none-any.whl 8.5 kB Jun 18, 2023	Python 3	none	any	Details

Total release size: 16.6 kB

Release files / gpt-engineer-0.0.3.tar.gz

Download URL	gpt-engineer-0.0.3.tar.gz
Size	8.0 kB
Tags	Source
SHA-256 checksum How to use checksums	`156a30c8aea0a278cf414058d9ed7e761eb807d2851be4d306f0033a78aba61a`
BLAKE2b-256 checksum How to use checksums	`da5f0e2d563e8f4e81944816f8f3a2a1f9535b1ca8715b05cc166884c8655362`
Upload date	Jun 18, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/4.0.1 CPython/3.11.4`

Release files / gpt_engineer-0.0.3-py3-none-any.whl

Download URL	gpt_engineer-0.0.3-py3-none-any.whl
Size	8.5 kB
Tags	Python 3
SHA-256 checksum How to use checksums	`e6ab8977ddbb568803dfdcde72e0383952a1765d43ff085bb1e41174a0db010e`
BLAKE2b-256 checksum How to use checksums	`4a1c4a8bc7f1294a4c82cd01df5eb48d5724381d0c8917fe9c19af41e32d92fe`
Upload date	Jun 18, 2023
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/4.0.1 CPython/3.11.4`