GPT Engineer

Golang implement version of AntonOsika/gpt-engineer, With support to switch language by -lang argument.

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.

Project philosophy

Simple to get value
Flexible and easy to add new own "AI steps". See steps.go.
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

Setup:

OpenAI

go mod tidy
export OPENAI_API_KEY=[your api key] with a key that has GPT4 access, if you don't have GPT4 access, then it will use GPT-3.5 as a fallback.

Azure

export OPENAI_BASE=[your Azure OpenAI endpoint] should be https://[deployment name].openai.azure.com/

Run:

Edit example/main_prompt to specify what you want to build
Run go run ., default language is English, if you want to use other language, and -lang argument like go run . -lang=Chinese

(optional) Azure

use the argument -model [your deployment name]

Results:

Check the generated files in example/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.

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.go will have its communication history with GPT4 stored in the logs folder.

geekr-dev / gpt-engineer