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51 lines
2.0 KiB
Markdown
51 lines
2.0 KiB
Markdown
# GPT Engineer
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**Specify what you want it to build, the AI asks for clarification, and then builds it.**
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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.
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## Project philosophy
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- Simple to get value
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- Flexible and easy to add new own "AI steps". See `steps.py`.
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- Incrementally build towards a user experience of:
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1. high level prompting
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2. giving feedback to the AI that it will remember over time
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- Fast handovers back and forth between AI and human
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- Simplicity, all computation is "resumable" and persisted to the filesystem
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## Usage
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**Setup**:
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- `pip install -r requirements.txt`
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- `export OPENAI_API_KEY=[your api key]` with a key that has GPT4 access
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**Run**:
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- Create a new empty folder with a `main_prompt` file (or copy the example folder `cp -r example/ my-new-project`)
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- Fill in the `main_prompt` in your new folder
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- Run `python -m gpt_engineer.main my-new-project`
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**Results**:
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- Check the generated files in my-new-project/workspace
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### Limitations
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Implementing additional chain of thought prompting, e.g. [Reflexion](https://github.com/noahshinn024/reflexion), should be able to make it more reliable and not miss requested functionality in the main prompt.
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Contributors welcome! If you are unsure what to add, check out the ideas listed in the Projects tab in the GitHub repo.
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## Features
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You can specify the "identity" of the AI agent by editing the files in the `identity` folder.
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Editing the identity, and evolving the main_prompt, is currently how you make the agent remember things between projects.
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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.
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## High resolution example
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https://github.com/AntonOsika/gpt-engineer/assets/4467025/6e362e45-4a94-4b0d-973d-393a31d92d9b
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