GPT-Engineer一个根据指示生成代码的 AI 工具，你只需要「动动嘴」，就能直接构建整个代码库

# GPT Engineer [](https://discord.gg/8tcDQ89Ej2) [](https://github.com/AntonOsika/gpt-engineer) [](https://twitter.com/AntonOsika) **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](https://twitter.com/antonosika/status/1667641038104674306) ## 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 https://github.com/AntonOsika/gpt-engineer.git` - `cd gpt-engineer` - `pip install -e .` - (or: `make install && source venv/bin/activate` for a venv) **Setup** With an OpenAI API key (preferably with GPT-4 access) run: - `export OPENAI_API_KEY=[your api key]` Alternative for Windows **Run**: - Create an empty folder. If inside the repo, you can run: - `cp -r projects/example/ projects/my-new-project` - Fill in the `prompt` file in your new folder - `gpt-engineer projects/my-new-project` - (Note, `gpt-engineer --help` lets you see all available options. For example `--steps use_feedback` lets you improve/fix code in a project) By running gpt-engineer you agree to our [terms](https://github.com/AntonOsika/gpt-engineer/blob/main/TERMS_OF_USE.md). **Results** - Check the generated files in `projects/my-new-project/workspace` To **run in the browser** you can simply: [](https://github.com/AntonOsika/gpt-engineer/codespaces) ## Features You can specify the "identity" of the AI agent by editing the files in the `preprompts` folder. Editing the `preprompts`, and evolving how you write the project prompt, is 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`. ## Vision The gpt-engineer community is building the **open platform for devs to tinker with and build their personal code-generation toolbox**. If you are interested in contributing to this, we would be interested in having you. If you want to see our broader ambitions, check out the [roadmap](https://github.com/AntonOsika/gpt-engineer/blob/main/ROADMAP.md), and join [discord](https://discord.gg/8tcDQ89Ej2) to get input on how you can [contribute](.github/CONTRIBUTING.md) to it. We are currently looking for more maintainers and community organisers. Email anton.osika@gmail.com if you are interested in an official role. ## Example https://github.com/AntonOsika/gpt-engineer/assets/4467025/6e362e45-4a94-4b0d-973d-393a31d92d9b