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293
README.md
293
README.md
|
|
@ -12,7 +12,7 @@ # MetaGPT: The Multi-Agent Framework
|
|||
<a href="docs/README_CN.md"><img src="https://img.shields.io/badge/文档-中文版-blue.svg" alt="CN doc"></a>
|
||||
<a href="README.md"><img src="https://img.shields.io/badge/document-English-blue.svg" alt="EN doc"></a>
|
||||
<a href="docs/README_JA.md"><img src="https://img.shields.io/badge/ドキュメント-日本語-blue.svg" alt="JA doc"></a>
|
||||
<a href="https://discord.gg/wCp6Q3fsAk"><img src="https://img.shields.io/badge/Discord-Join-blue?logo=discord&logoColor=white&color=blue" alt="Discord Follow"></a>
|
||||
<a href="https://discord.gg/DYn29wFk9z"><img src="https://dcbadge.vercel.app/api/server/DYn29wFk9z?style=flat" alt="Discord Follow"></a>
|
||||
<a href="https://opensource.org/licenses/MIT"><img src="https://img.shields.io/badge/License-MIT-blue.svg" alt="License: MIT"></a>
|
||||
<a href="docs/ROADMAP.md"><img src="https://img.shields.io/badge/ROADMAP-路线图-blue" alt="roadmap"></a>
|
||||
<a href="https://twitter.com/MetaGPT_"><img src="https://img.shields.io/twitter/follow/MetaGPT?style=social" alt="Twitter Follow"></a>
|
||||
|
|
@ -32,132 +32,37 @@ # MetaGPT: The Multi-Agent Framework
|
|||
|
||||
<p align="center">Software Company Multi-Role Schematic (Gradually Implementing)</p>
|
||||
|
||||
## MetaGPT's Abilities
|
||||
|
||||
|
||||
https://github.com/geekan/MetaGPT/assets/34952977/34345016-5d13-489d-b9f9-b82ace413419
|
||||
## Install
|
||||
|
||||
|
||||
|
||||
## Examples (fully generated by GPT-4)
|
||||
|
||||
For example, if you type `python startup.py "Design a RecSys like Toutiao"`, you would get many outputs, one of them is data & api design
|
||||
|
||||
|
||||
|
||||
It costs approximately **$0.2** (in GPT-4 API fees) to generate one example with analysis and design, and around **$2.0** for a full project.
|
||||
|
||||
|
||||
|
||||
|
||||
## Installation
|
||||
|
||||
### Installation Video Guide
|
||||
|
||||
- [Matthew Berman: How To Install MetaGPT - Build A Startup With One Prompt!!](https://youtu.be/uT75J_KG_aY)
|
||||
|
||||
### Traditional Installation
|
||||
### Pip installation
|
||||
|
||||
```bash
|
||||
# Step 1: Ensure that NPM is installed on your system. Then install mermaid-js. (If you don't have npm in your computer, please go to the Node.js official website to install Node.js https://nodejs.org/ and then you will have npm tool in your computer.)
|
||||
# Step 1: Ensure that Python 3.9+ is installed on your system. You can check this by using:
|
||||
# You can use conda to initialize a new python env
|
||||
# conda create -n metagpt python=3.9
|
||||
# conda activate metagpt
|
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python3 --version
|
||||
|
||||
# Step 2: Clone the repository to your local machine for latest version, and install it.
|
||||
git clone https://github.com/geekan/MetaGPT.git
|
||||
cd MetaGPT
|
||||
pip3 install -e. # or pip3 install metagpt # for stable version
|
||||
|
||||
# Step 3: run the startup.py
|
||||
# setup your OPENAI_API_KEY in key.yaml copy from config.yaml
|
||||
python3 startup.py "Write a cli snake game"
|
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|
||||
# Step 4 [Optional]: If you want to save the artifacts like diagrams such as quadrant chart, system designs, sequence flow in the workspace, you can execute the step before Step 3. By default, the framework is compatible, and the entire process can be run completely without executing this step.
|
||||
# If executing, ensure that NPM is installed on your system. Then install mermaid-js. (If you don't have npm in your computer, please go to the Node.js official website to install Node.js https://nodejs.org/ and then you will have npm tool in your computer.)
|
||||
npm --version
|
||||
sudo npm install -g @mermaid-js/mermaid-cli
|
||||
|
||||
# Step 2: Ensure that Python 3.9+ is installed on your system. You can check this by using:
|
||||
python --version
|
||||
|
||||
# Step 3: Clone the repository to your local machine, and install it.
|
||||
git clone https://github.com/geekan/metagpt
|
||||
cd metagpt
|
||||
pip install -e.
|
||||
```
|
||||
|
||||
**Note:**
|
||||
detail installation please refer to [cli_install](https://docs.deepwisdom.ai/guide/get_started/installation.html#install-stable-version)
|
||||
|
||||
- If already have Chrome, Chromium, or MS Edge installed, you can skip downloading Chromium by setting the environment variable
|
||||
`PUPPETEER_SKIP_CHROMIUM_DOWNLOAD` to `true`.
|
||||
|
||||
- Some people are [having issues](https://github.com/mermaidjs/mermaid.cli/issues/15) installing this tool globally. Installing it locally is an alternative solution,
|
||||
|
||||
```bash
|
||||
npm install @mermaid-js/mermaid-cli
|
||||
```
|
||||
|
||||
- don't forget to the configuration for mmdc in config.yml
|
||||
|
||||
```yml
|
||||
PUPPETEER_CONFIG: "./config/puppeteer-config.json"
|
||||
MMDC: "./node_modules/.bin/mmdc"
|
||||
```
|
||||
|
||||
- if `pip install -e.` fails with error `[Errno 13] Permission denied: '/usr/local/lib/python3.11/dist-packages/test-easy-install-13129.write-test'`, try instead running `pip install -e. --user`
|
||||
|
||||
- To convert Mermaid charts to SVG, PNG, and PDF formats. In addition to the Node.js version of Mermaid-CLI, you now have the option to use Python version Playwright, pyppeteer or mermaid.ink for this task.
|
||||
|
||||
- Playwright
|
||||
- **Install Playwright**
|
||||
|
||||
```bash
|
||||
pip install playwright
|
||||
```
|
||||
|
||||
- **Install the Required Browsers**
|
||||
|
||||
to support PDF conversion, please install Chrominum.
|
||||
|
||||
```bash
|
||||
playwright install --with-deps chromium
|
||||
```
|
||||
|
||||
- **modify `config.yaml`**
|
||||
|
||||
uncomment MERMAID_ENGINE from config.yaml and change it to `playwright`
|
||||
|
||||
```yaml
|
||||
MERMAID_ENGINE: playwright
|
||||
```
|
||||
|
||||
- pyppeteer
|
||||
- **Install pyppeteer**
|
||||
|
||||
```bash
|
||||
pip install pyppeteer
|
||||
```
|
||||
|
||||
- **Use your own Browsers**
|
||||
|
||||
pyppeteer allows you use installed browsers, please set the following envirment
|
||||
|
||||
```bash
|
||||
export PUPPETEER_EXECUTABLE_PATH = /path/to/your/chromium or edge or chrome
|
||||
```
|
||||
|
||||
please do not use this command to install browser, it is too old
|
||||
|
||||
```bash
|
||||
pyppeteer-install
|
||||
```
|
||||
|
||||
- **modify `config.yaml`**
|
||||
|
||||
uncomment MERMAID_ENGINE from config.yaml and change it to `pyppeteer`
|
||||
|
||||
```yaml
|
||||
MERMAID_ENGINE: pyppeteer
|
||||
```
|
||||
|
||||
- mermaid.ink
|
||||
- **modify `config.yaml`**
|
||||
|
||||
uncomment MERMAID_ENGINE from config.yaml and change it to `ink`
|
||||
|
||||
```yaml
|
||||
MERMAID_ENGINE: ink
|
||||
```
|
||||
|
||||
Note: this method does not support pdf export.
|
||||
|
||||
### Installation by Docker
|
||||
### Docker installation
|
||||
|
||||
```bash
|
||||
# Step 1: Download metagpt official image and prepare config.yaml
|
||||
|
|
@ -173,124 +78,48 @@ # Step 2: Run metagpt demo with container
|
|||
-v /opt/metagpt/workspace:/app/metagpt/workspace \
|
||||
metagpt/metagpt:latest \
|
||||
python startup.py "Write a cli snake game"
|
||||
|
||||
# You can also start a container and execute commands in it
|
||||
docker run --name metagpt -d \
|
||||
--privileged \
|
||||
-v /opt/metagpt/config/key.yaml:/app/metagpt/config/key.yaml \
|
||||
-v /opt/metagpt/workspace:/app/metagpt/workspace \
|
||||
metagpt/metagpt:latest
|
||||
|
||||
docker exec -it metagpt /bin/bash
|
||||
$ python startup.py "Write a cli snake game"
|
||||
```
|
||||
|
||||
The command `docker run ...` do the following things:
|
||||
detail installation please refer to [docker_install](https://docs.deepwisdom.ai/guide/get_started/installation.html#install-with-docker)
|
||||
|
||||
- Run in privileged mode to have permission to run the browser
|
||||
- Map host configure file `/opt/metagpt/config/key.yaml` to container `/app/metagpt/config/key.yaml`
|
||||
- Map host directory `/opt/metagpt/workspace` to container `/app/metagpt/workspace`
|
||||
- Execute the demo command `python startup.py "Write a cli snake game"`
|
||||
### QuickStart & Demo Video
|
||||
- Try it on [MetaGPT Huggingface Space](https://huggingface.co/spaces/deepwisdom/MetaGPT)
|
||||
- [Matthew Berman: How To Install MetaGPT - Build A Startup With One Prompt!!](https://youtu.be/uT75J_KG_aY)
|
||||
- [Official Demo Video](https://github.com/geekan/MetaGPT/assets/2707039/5e8c1062-8c35-440f-bb20-2b0320f8d27d)
|
||||
|
||||
### Build image by yourself
|
||||
https://github.com/geekan/MetaGPT/assets/34952977/34345016-5d13-489d-b9f9-b82ace413419
|
||||
|
||||
```bash
|
||||
# You can also build metagpt image by yourself.
|
||||
git clone https://github.com/geekan/MetaGPT.git
|
||||
cd MetaGPT && docker build -t metagpt:custom .
|
||||
```
|
||||
## Tutorial
|
||||
|
||||
## Configuration
|
||||
- 🗒 [Online Document](https://docs.deepwisdom.ai/)
|
||||
- 💻 [Usage](https://docs.deepwisdom.ai/guide/get_started/quickstart.html)
|
||||
- 🔎 [What can MetaGPT do?](https://docs.deepwisdom.ai/guide/get_started/introduction.html)
|
||||
- 🛠 How to build your own agents?
|
||||
- [MetaGPT Usage & Development Guide | Agent 101](https://docs.deepwisdom.ai/guide/tutorials/agent_101.html)
|
||||
- [MetaGPT Usage & Development Guide | MultiAgent 101](https://docs.deepwisdom.ai/guide/tutorials/multi_agent_101.html)
|
||||
- 🧑💻 Contribution
|
||||
- [Develop Roadmap](docs/ROADMAP.md)
|
||||
- 🔖 Use Cases
|
||||
- [Debate](https://docs.deepwisdom.ai/guide/use_cases/multi_agent/debate.html)
|
||||
- [Researcher](https://docs.deepwisdom.ai/guide/use_cases/agent/researcher.html)
|
||||
- [Recepit Assistant](https://docs.deepwisdom.ai/guide/use_cases/agent/receipt_assistant.html)
|
||||
- ❓ [FAQs](https://docs.deepwisdom.ai/guide/faq.html)
|
||||
|
||||
- Configure your `OPENAI_API_KEY` in any of `config/key.yaml / config/config.yaml / env`
|
||||
- Priority order: `config/key.yaml > config/config.yaml > env`
|
||||
## Support
|
||||
|
||||
```bash
|
||||
# Copy the configuration file and make the necessary modifications.
|
||||
cp config/config.yaml config/key.yaml
|
||||
```
|
||||
### Discard Join US
|
||||
📢 Join Our [Discord Channel](https://discord.gg/ZRHeExS6xv)!
|
||||
|
||||
| Variable Name | config/key.yaml | env |
|
||||
| ------------------------------------------ | ----------------------------------------- | ----------------------------------------------- |
|
||||
| OPENAI_API_KEY # Replace with your own key | OPENAI_API_KEY: "sk-..." | export OPENAI_API_KEY="sk-..." |
|
||||
| OPENAI_API_BASE # Optional | OPENAI_API_BASE: "https://<YOUR_SITE>/v1" | export OPENAI_API_BASE="https://<YOUR_SITE>/v1" |
|
||||
Looking forward to seeing you there! 🎉
|
||||
|
||||
## Tutorial: Initiating a startup
|
||||
### Contact Information
|
||||
|
||||
```shell
|
||||
# Run the script
|
||||
python startup.py "Write a cli snake game"
|
||||
# Do not hire an engineer to implement the project
|
||||
python startup.py "Write a cli snake game" --implement False
|
||||
# Hire an engineer and perform code reviews
|
||||
python startup.py "Write a cli snake game" --code_review True
|
||||
```
|
||||
If you have any questions or feedback about this project, please feel free to contact us. We highly appreciate your suggestions!
|
||||
|
||||
After running the script, you can find your new project in the `workspace/` directory.
|
||||
- **Email:** alexanderwu@fuzhi.ai
|
||||
- **GitHub Issues:** For more technical inquiries, you can also create a new issue in our [GitHub repository](https://github.com/geekan/metagpt/issues).
|
||||
|
||||
### Preference of Platform or Tool
|
||||
|
||||
You can tell which platform or tool you want to use when stating your requirements.
|
||||
|
||||
```shell
|
||||
python startup.py "Write a cli snake game based on pygame"
|
||||
```
|
||||
|
||||
### Usage
|
||||
|
||||
```
|
||||
NAME
|
||||
startup.py - We are a software startup comprised of AI. By investing in us, you are empowering a future filled with limitless possibilities.
|
||||
|
||||
SYNOPSIS
|
||||
startup.py IDEA <flags>
|
||||
|
||||
DESCRIPTION
|
||||
We are a software startup comprised of AI. By investing in us, you are empowering a future filled with limitless possibilities.
|
||||
|
||||
POSITIONAL ARGUMENTS
|
||||
IDEA
|
||||
Type: str
|
||||
Your innovative idea, such as "Creating a snake game."
|
||||
|
||||
FLAGS
|
||||
--investment=INVESTMENT
|
||||
Type: float
|
||||
Default: 3.0
|
||||
As an investor, you have the opportunity to contribute a certain dollar amount to this AI company.
|
||||
--n_round=N_ROUND
|
||||
Type: int
|
||||
Default: 5
|
||||
|
||||
NOTES
|
||||
You can also use flags syntax for POSITIONAL ARGUMENTS
|
||||
```
|
||||
|
||||
### Code walkthrough
|
||||
|
||||
```python
|
||||
from metagpt.team import Team
|
||||
from metagpt.roles import ProjectManager, ProductManager, Architect, Engineer
|
||||
|
||||
async def startup(idea: str, investment: float = 3.0, n_round: int = 5):
|
||||
"""Run a startup. Be a boss."""
|
||||
company = Team()
|
||||
company.hire([ProductManager(), Architect(), ProjectManager(), Engineer()])
|
||||
company.invest(investment)
|
||||
company.start_project(idea)
|
||||
await company.run(n_round=n_round)
|
||||
```
|
||||
|
||||
You can check `examples` for more details on single role (with knowledge base) and LLM only examples.
|
||||
|
||||
## QuickStart
|
||||
|
||||
It is difficult to install and configure the local environment for some users. The following tutorials will allow you to quickly experience the charm of MetaGPT.
|
||||
|
||||
- [MetaGPT quickstart](https://deepwisdom.feishu.cn/wiki/CyY9wdJc4iNqArku3Lncl4v8n2b)
|
||||
|
||||
Try it on Huggingface Space
|
||||
- https://huggingface.co/spaces/deepwisdom/MetaGPT
|
||||
We will respond to all questions within 2-3 business days.
|
||||
|
||||
## Citation
|
||||
|
||||
|
|
@ -306,23 +135,3 @@ ## Citation
|
|||
primaryClass={cs.AI}
|
||||
}
|
||||
```
|
||||
|
||||
## Contact Information
|
||||
|
||||
If you have any questions or feedback about this project, please feel free to contact us. We highly appreciate your suggestions!
|
||||
|
||||
- **Email:** alexanderwu@fuzhi.ai
|
||||
- **GitHub Issues:** For more technical inquiries, you can also create a new issue in our [GitHub repository](https://github.com/geekan/metagpt/issues).
|
||||
|
||||
We will respond to all questions within 2-3 business days.
|
||||
|
||||
## Demo
|
||||
|
||||
https://github.com/geekan/MetaGPT/assets/2707039/5e8c1062-8c35-440f-bb20-2b0320f8d27d
|
||||
|
||||
## Join us
|
||||
|
||||
📢 Join Our Discord Channel!
|
||||
https://discord.gg/ZRHeExS6xv
|
||||
|
||||
Looking forward to seeing you there! 🎉
|
||||
|
|
|
|||
|
|
@ -12,7 +12,7 @@ # MetaGPT: 多智能体框架
|
|||
<a href="docs/README_CN.md"><img src="https://img.shields.io/badge/文档-中文版-blue.svg" alt="CN doc"></a>
|
||||
<a href="README.md"><img src="https://img.shields.io/badge/document-English-blue.svg" alt="EN doc"></a>
|
||||
<a href="docs/README_JA.md"><img src="https://img.shields.io/badge/ドキュメント-日本語-blue.svg" alt="JA doc"></a>
|
||||
<a href="https://discord.gg/wCp6Q3fsAk"><img src="https://img.shields.io/badge/Discord-Join-blue?logo=discord&logoColor=white&color=blue" alt="Discord Follow"></a>
|
||||
<a href="https://discord.gg/DYn29wFk9z"><img src="https://dcbadge.vercel.app/api/server/DYn29wFk9z?style=flat" alt="Discord Follow"></a>
|
||||
<a href="https://opensource.org/licenses/MIT"><img src="https://img.shields.io/badge/License-MIT-blue.svg" alt="License: MIT"></a>
|
||||
<a href="docs/ROADMAP.md"><img src="https://img.shields.io/badge/ROADMAP-路线图-blue" alt="roadmap"></a>
|
||||
<a href="https://twitter.com/MetaGPT_"><img src="https://img.shields.io/twitter/follow/MetaGPT?style=social" alt="Twitter Follow"></a>
|
||||
|
|
@ -32,55 +32,32 @@ # MetaGPT: 多智能体框架
|
|||
|
||||
<p align="center">软件公司多角色示意图（正在逐步实现）</p>
|
||||
|
||||
## MetaGPT 的能力
|
||||
|
||||
https://github.com/geekan/MetaGPT/assets/34952977/34345016-5d13-489d-b9f9-b82ace413419
|
||||
|
||||
|
||||
## 示例（均由 GPT-4 生成）
|
||||
|
||||
例如，键入`python startup.py "写个类似今日头条的推荐系统"`并回车，你会获得一系列输出，其一是数据结构与API设计
|
||||
|
||||
|
||||
|
||||
这需要大约**0.2美元**（GPT-4 API的费用）来生成一个带有分析和设计的示例，大约2.0美元用于一个完整的项目
|
||||
|
||||
## 安装
|
||||
|
||||
### 传统安装
|
||||
### Pip安装
|
||||
|
||||
```bash
|
||||
# 第 1 步：确保您的系统上安装了 NPM。并使用npm安装mermaid-js
|
||||
# 第 1 步：确保您的系统上安装了 Python 3.9+。您可以使用以下命令进行检查：
|
||||
# 可以使用conda来初始化新的python环境
|
||||
# conda create -n metagpt python=3.9
|
||||
# conda activate metagpt
|
||||
python3 --version
|
||||
|
||||
# 第 2 步：克隆最新仓库到您的本地机器，并进行安装。
|
||||
git clone https://github.com/geekan/MetaGPT.git
|
||||
cd MetaGPT
|
||||
pip3 install -e. # 或者 pip3 install metagpt # 安装稳定版本
|
||||
|
||||
# 第 3 步：执行startup.py
|
||||
# 拷贝config.yaml为key.yaml，并设置你自己的OPENAI_API_KEY
|
||||
python3 startup.py "Write a cli snake game"
|
||||
|
||||
# 第 4 步【可选的】：如果你想在执行过程中保存像象限图、系统设计、序列流程等图表这些产物，可以在第3步前执行该步骤。默认的，框架做了兼容，在不执行该步的情况下，也可以完整跑完整个流程。
|
||||
# 如果执行，确保您的系统上安装了 NPM。并使用npm安装mermaid-js
|
||||
npm --version
|
||||
sudo npm install -g @mermaid-js/mermaid-cli
|
||||
|
||||
# 第 2 步：确保您的系统上安装了 Python 3.9+。您可以使用以下命令进行检查：
|
||||
python --version
|
||||
|
||||
# 第 3 步：克隆仓库到您的本地机器，并进行安装。
|
||||
git clone https://github.com/geekan/metagpt
|
||||
cd metagpt
|
||||
pip install -e.
|
||||
```
|
||||
|
||||
**注意：**
|
||||
|
||||
- 如果已经安装了Chrome、Chromium或MS Edge，可以通过将环境变量`PUPPETEER_SKIP_CHROMIUM_DOWNLOAD`设置为`true`来跳过下载Chromium。
|
||||
|
||||
- 一些人在全局安装此工具时遇到问题。在本地安装是替代解决方案，
|
||||
|
||||
```bash
|
||||
npm install @mermaid-js/mermaid-cli
|
||||
```
|
||||
|
||||
- 不要忘记在config.yml中为mmdc配置配置，
|
||||
|
||||
```yml
|
||||
PUPPETEER_CONFIG: "./config/puppeteer-config.json"
|
||||
MMDC: "./node_modules/.bin/mmdc"
|
||||
```
|
||||
|
||||
- 如果`pip install -e.`失败并显示错误`[Errno 13] Permission denied: '/usr/local/lib/python3.11/dist-packages/test-easy-install-13129.write-test'`，请尝试使用`pip install -e. --user`运行。
|
||||
详细的安装请安装 [cli_install](https://docs.deepwisdom.ai/guide/get_started/installation.html#install-stable-version)
|
||||
|
||||
### Docker安装
|
||||
|
||||
|
|
@ -98,121 +75,41 @@ # 步骤2: 使用容器运行metagpt演示
|
|||
-v /opt/metagpt/workspace:/app/metagpt/workspace \
|
||||
metagpt/metagpt:latest \
|
||||
python startup.py "Write a cli snake game"
|
||||
|
||||
# 您也可以启动一个容器并在其中执行命令
|
||||
docker run --name metagpt -d \
|
||||
--privileged \
|
||||
-v /opt/metagpt/config/key.yaml:/app/metagpt/config/key.yaml \
|
||||
-v /opt/metagpt/workspace:/app/metagpt/workspace \
|
||||
metagpt/metagpt:latest
|
||||
|
||||
docker exec -it metagpt /bin/bash
|
||||
$ python startup.py "Write a cli snake game"
|
||||
```
|
||||
|
||||
`docker run ...`做了以下事情:
|
||||
详细的安装请安装 [docker_install](https://docs.deepwisdom.ai/zhcn/guide/get_started/installation.html#%E4%BD%BF%E7%94%A8docker%E5%AE%89%E8%A3%85)
|
||||
|
||||
- 以特权模式运行，有权限运行浏览器
|
||||
- 将主机文件 `/opt/metagpt/config/key.yaml` 映射到容器文件 `/app/metagpt/config/key.yaml`
|
||||
- 将主机目录 `/opt/metagpt/workspace` 映射到容器目录 `/app/metagpt/workspace`
|
||||
- 执行示例命令 `python startup.py "Write a cli snake game"`
|
||||
### 快速开始的演示视频
|
||||
- 在 [MetaGPT Huggingface Space](https://huggingface.co/spaces/deepwisdom/MetaGPT) 上进行体验
|
||||
- [Matthew Berman: How To Install MetaGPT - Build A Startup With One Prompt!!](https://youtu.be/uT75J_KG_aY)
|
||||
- [官方演示视频](https://github.com/geekan/MetaGPT/assets/2707039/5e8c1062-8c35-440f-bb20-2b0320f8d27d)
|
||||
|
||||
### 自己构建镜像
|
||||
https://github.com/geekan/MetaGPT/assets/34952977/34345016-5d13-489d-b9f9-b82ace413419
|
||||
|
||||
```bash
|
||||
# 您也可以自己构建metagpt镜像
|
||||
git clone https://github.com/geekan/MetaGPT.git
|
||||
cd MetaGPT && docker build -t metagpt:custom .
|
||||
```
|
||||
## 教程
|
||||
- 🗒 [在线文档](https://docs.deepwisdom.ai/zhcn/)
|
||||
- 💻 [如何使用](https://docs.deepwisdom.ai/zhcn/guide/get_started/quickstart.html)
|
||||
- 🔎 [MetaGPT的能力及应用场景](https://docs.deepwisdom.ai/zhcn/guide/get_started/introduction.html)
|
||||
- 🛠 如何构建你自己的智能体？
|
||||
- [MetaGPT的使用和开发教程 | 智能体入门](https://docs.deepwisdom.ai/zhcn/guide/tutorials/agent_101.html)
|
||||
- [MetaGPT的使用和开发教程 | 多智能体入门](https://docs.deepwisdom.ai/zhcn/guide/tutorials/multi_agent_101.html)
|
||||
- 🧑💻 贡献
|
||||
- [开发路线图](ROADMAP.md)
|
||||
- 🔖 示例
|
||||
- [辩论](https://docs.deepwisdom.ai/zhcn/guide/use_cases/multi_agent/debate.html)
|
||||
- [调研员](https://docs.deepwisdom.ai/zhcn/guide/use_cases/agent/researcher.html)
|
||||
- [票据助手](https://docs.deepwisdom.ai/zhcn/guide/use_cases/agent/receipt_assistant.html)
|
||||
- ❓ [常见问题解答](https://docs.deepwisdom.ai/zhcn/guide/faq.html)
|
||||
|
||||
## 配置
|
||||
## 支持
|
||||
|
||||
- 在 `config/key.yaml / config/config.yaml / env` 中配置您的 `OPENAI_API_KEY`
|
||||
- 优先级顺序：`config/key.yaml > config/config.yaml > env`
|
||||
### 加入我们
|
||||
|
||||
```bash
|
||||
# 复制配置文件并进行必要的修改
|
||||
cp config/config.yaml config/key.yaml
|
||||
```
|
||||
📢 加入我们的[Discord频道](https://discord.gg/ZRHeExS6xv)！
|
||||
|
||||
| 变量名 | config/key.yaml | env |
|
||||
| ----------------------------------- | ----------------------------------------- | ----------------------------------------------- |
|
||||
| OPENAI_API_KEY # 用您自己的密钥替换 | OPENAI_API_KEY: "sk-..." | export OPENAI_API_KEY="sk-..." |
|
||||
| OPENAI_API_BASE # 可选 | OPENAI_API_BASE: "https://<YOUR_SITE>/v1" | export OPENAI_API_BASE="https://<YOUR_SITE>/v1" |
|
||||
期待在那里与您相见！🎉
|
||||
|
||||
## 示例：启动一个创业公司
|
||||
|
||||
```shell
|
||||
python startup.py "写一个命令行贪吃蛇"
|
||||
# 开启code review模式会花费更多的金钱, 但是会提升代码质量和成功率
|
||||
python startup.py "写一个命令行贪吃蛇" --code_review True
|
||||
```
|
||||
|
||||
运行脚本后，您可以在 `workspace/` 目录中找到您的新项目。
|
||||
### 平台或工具的倾向性
|
||||
可以在阐述需求时说明想要使用的平台或工具。
|
||||
例如：
|
||||
```shell
|
||||
python startup.py "写一个基于pygame的命令行贪吃蛇"
|
||||
```
|
||||
|
||||
### 使用
|
||||
|
||||
```
|
||||
名称
|
||||
startup.py - 我们是一家AI软件创业公司。通过投资我们，您将赋能一个充满无限可能的未来。
|
||||
|
||||
概要
|
||||
startup.py IDEA <flags>
|
||||
|
||||
描述
|
||||
我们是一家AI软件创业公司。通过投资我们，您将赋能一个充满无限可能的未来。
|
||||
|
||||
位置参数
|
||||
IDEA
|
||||
类型: str
|
||||
您的创新想法，例如"写一个命令行贪吃蛇。"
|
||||
|
||||
标志
|
||||
--investment=INVESTMENT
|
||||
类型: float
|
||||
默认值: 3.0
|
||||
作为投资者，您有机会向这家AI公司投入一定的美元金额。
|
||||
--n_round=N_ROUND
|
||||
类型: int
|
||||
默认值: 5
|
||||
|
||||
备注
|
||||
您也可以用`标志`的语法，来处理`位置参数`
|
||||
```
|
||||
|
||||
### 代码实现
|
||||
|
||||
```python
|
||||
from metagpt.team import Team
|
||||
from metagpt.roles import ProjectManager, ProductManager, Architect, Engineer
|
||||
|
||||
async def startup(idea: str, investment: float = 3.0, n_round: int = 5):
|
||||
"""运行一个创业公司。做一个老板"""
|
||||
company = Team()
|
||||
company.hire([ProductManager(), Architect(), ProjectManager(), Engineer()])
|
||||
company.invest(investment)
|
||||
company.start_project(idea)
|
||||
await company.run(n_round=n_round)
|
||||
```
|
||||
|
||||
你可以查看`examples`，其中有单角色（带知识库）的使用例子与仅LLM的使用例子。
|
||||
|
||||
## 快速体验
|
||||
对一些用户来说，安装配置本地环境是有困难的，下面这些教程能够让你快速体验到MetaGPT的魅力。
|
||||
|
||||
- [MetaGPT快速体验](https://deepwisdom.feishu.cn/wiki/Q8ycw6J9tiNXdHk66MRcIN8Pnlg)
|
||||
|
||||
可直接在Huggingface Space体验
|
||||
|
||||
- https://huggingface.co/spaces/deepwisdom/MetaGPT
|
||||
|
||||
## 联系信息
|
||||
### 联系信息
|
||||
|
||||
如果您对这个项目有任何问题或反馈，欢迎联系我们。我们非常欢迎您的建议！
|
||||
|
||||
|
|
@ -221,13 +118,17 @@ ## 联系信息
|
|||
|
||||
我们会在2-3个工作日内回复所有问题。
|
||||
|
||||
## 演示
|
||||
## 引用
|
||||
|
||||
https://github.com/geekan/MetaGPT/assets/2707039/5e8c1062-8c35-440f-bb20-2b0320f8d27d
|
||||
引用 [Arxiv paper](https://arxiv.org/abs/2308.00352):
|
||||
|
||||
## 加入我们
|
||||
|
||||
📢 加入我们的Discord频道！
|
||||
https://discord.gg/ZRHeExS6xv
|
||||
|
||||
期待在那里与您相见！🎉
|
||||
```bibtex
|
||||
@misc{hong2023metagpt,
|
||||
title={MetaGPT: Meta Programming for Multi-Agent Collaborative Framework},
|
||||
author={Sirui Hong and Xiawu Zheng and Jonathan Chen and Yuheng Cheng and Jinlin Wang and Ceyao Zhang and Zili Wang and Steven Ka Shing Yau and Zijuan Lin and Liyang Zhou and Chenyu Ran and Lingfeng Xiao and Chenglin Wu},
|
||||
year={2023},
|
||||
eprint={2308.00352},
|
||||
archivePrefix={arXiv},
|
||||
primaryClass={cs.AI}
|
||||
}
|
||||
```
|
||||
|
|
|
|||
|
|
@ -59,17 +59,22 @@ ### インストールビデオガイド
|
|||
### 伝統的なインストール
|
||||
|
||||
```bash
|
||||
# ステップ 1: NPM がシステムにインストールされていることを確認してください。次に mermaid-js をインストールします。(お使いのコンピューターに npm がない場合は、Node.js 公式サイトで Node.js https://nodejs.org/ をインストールしてください。）
|
||||
npm --version
|
||||
sudo npm install -g @mermaid-js/mermaid-cli
|
||||
|
||||
# ステップ 2: Python 3.9+ がシステムにインストールされていることを確認してください。これを確認するには:
|
||||
# ステップ 1: Python 3.9+ がシステムにインストールされていることを確認してください。これを確認するには:
|
||||
python --version
|
||||
|
||||
# ステップ 3: リポジトリをローカルマシンにクローンし、インストールする。
|
||||
git clone https://github.com/geekan/metagpt
|
||||
cd metagpt
|
||||
# ステップ 2: リポジトリをローカルマシンにクローンし、インストールする。
|
||||
git clone https://github.com/geekan/MetaGPT.git
|
||||
cd MetaGPT
|
||||
pip install -e.
|
||||
|
||||
# ステップ 3: startup.py を実行する
|
||||
# config.yaml を key.yaml にコピーし、独自の OPENAI_API_KEY を設定します
|
||||
python3 startup.py "Write a cli snake game"
|
||||
|
||||
# ステップ 4 [オプション]: 実行中に PRD ファイルなどのアーティファクトを保存する場合は、ステップ 3 の前にこのステップを実行できます。デフォルトでは、フレームワークには互換性があり、この手順を実行しなくてもプロセス全体を完了できます。
|
||||
# NPM がシステムにインストールされていることを確認してください。次に mermaid-js をインストールします。(お使いのコンピューターに npm がない場合は、Node.js 公式サイトで Node.js https://nodejs.org/ をインストールしてください。）
|
||||
npm --version
|
||||
sudo npm install -g @mermaid-js/mermaid-cli
|
||||
```
|
||||
|
||||
**注:**
|
||||
|
|
|
|||
109
docs/install/cli_install.md
Normal file
109
docs/install/cli_install.md
Normal file
|
|
@ -0,0 +1,109 @@
|
|||
## Traditional Command Line Installation
|
||||
|
||||
### Support System and version
|
||||
| System Version | Python Version | Supported |
|
||||
| ---- | ---- | ----- |
|
||||
| macOS 13.x | python 3.9 | Yes |
|
||||
| Windows 11 | python 3.9 | Yes |
|
||||
| Ubuntu 22.04 | python 3.9 | Yes |
|
||||
|
||||
### Detail Installation
|
||||
```bash
|
||||
# Step 1: Ensure that NPM is installed on your system. Then install mermaid-js. (If you don't have npm in your computer, please go to the Node.js official website to install Node.js https://nodejs.org/ and then you will have npm tool in your computer.)
|
||||
npm --version
|
||||
sudo npm install -g @mermaid-js/mermaid-cli
|
||||
|
||||
# Step 2: Ensure that Python 3.9+ is installed on your system. You can check this by using:
|
||||
python3 --version
|
||||
|
||||
# Step 3: Clone the repository to your local machine, and install it.
|
||||
git clone https://github.com/geekan/MetaGPT.git
|
||||
cd MetaGPT
|
||||
pip install -e.
|
||||
```
|
||||
|
||||
**Note:**
|
||||
|
||||
- If already have Chrome, Chromium, or MS Edge installed, you can skip downloading Chromium by setting the environment variable
|
||||
`PUPPETEER_SKIP_CHROMIUM_DOWNLOAD` to `true`.
|
||||
|
||||
- Some people are [having issues](https://github.com/mermaidjs/mermaid.cli/issues/15) installing this tool globally. Installing it locally is an alternative solution,
|
||||
|
||||
```bash
|
||||
npm install @mermaid-js/mermaid-cli
|
||||
```
|
||||
|
||||
- don't forget to the configuration for mmdc in config.yml
|
||||
|
||||
```yml
|
||||
PUPPETEER_CONFIG: "./config/puppeteer-config.json"
|
||||
MMDC: "./node_modules/.bin/mmdc"
|
||||
```
|
||||
|
||||
- if `pip install -e.` fails with error `[Errno 13] Permission denied: '/usr/local/lib/python3.11/dist-packages/test-easy-install-13129.write-test'`, try instead running `pip install -e. --user`
|
||||
|
||||
- To convert Mermaid charts to SVG, PNG, and PDF formats. In addition to the Node.js version of Mermaid-CLI, you now have the option to use Python version Playwright, pyppeteer or mermaid.ink for this task.
|
||||
|
||||
- Playwright
|
||||
- **Install Playwright**
|
||||
|
||||
```bash
|
||||
pip install playwright
|
||||
```
|
||||
|
||||
- **Install the Required Browsers**
|
||||
|
||||
to support PDF conversion, please install Chrominum.
|
||||
|
||||
```bash
|
||||
playwright install --with-deps chromium
|
||||
```
|
||||
|
||||
- **modify `config.yaml`**
|
||||
|
||||
uncomment MERMAID_ENGINE from config.yaml and change it to `playwright`
|
||||
|
||||
```yaml
|
||||
MERMAID_ENGINE: playwright
|
||||
```
|
||||
|
||||
- pyppeteer
|
||||
- **Install pyppeteer**
|
||||
|
||||
```bash
|
||||
pip install pyppeteer
|
||||
```
|
||||
|
||||
- **Use your own Browsers**
|
||||
|
||||
pyppeteer allows you use installed browsers, please set the following envirment
|
||||
|
||||
```bash
|
||||
export PUPPETEER_EXECUTABLE_PATH = /path/to/your/chromium or edge or chrome
|
||||
```
|
||||
|
||||
please do not use this command to install browser, it is too old
|
||||
|
||||
```bash
|
||||
pyppeteer-install
|
||||
```
|
||||
|
||||
- **modify `config.yaml`**
|
||||
|
||||
uncomment MERMAID_ENGINE from config.yaml and change it to `pyppeteer`
|
||||
|
||||
```yaml
|
||||
MERMAID_ENGINE: pyppeteer
|
||||
```
|
||||
|
||||
- mermaid.ink
|
||||
- **modify `config.yaml`**
|
||||
|
||||
uncomment MERMAID_ENGINE from config.yaml and change it to `ink`
|
||||
|
||||
```yaml
|
||||
MERMAID_ENGINE: ink
|
||||
```
|
||||
|
||||
Note: this method does not support pdf export.
|
||||
|
||||
43
docs/install/cli_install_cn.md
Normal file
43
docs/install/cli_install_cn.md
Normal file
|
|
@ -0,0 +1,43 @@
|
|||
## 命令行安装
|
||||
|
||||
### 支持的系统和版本
|
||||
| 系统版本 | Python 版本 | 是否支持 |
|
||||
| ---- | ---- | ----- |
|
||||
| macOS 13.x | python 3.9 | 是 |
|
||||
| Windows 11 | python 3.9 | 是 |
|
||||
| Ubuntu 22.04 | python 3.9 | 是 |
|
||||
|
||||
### 详细安装
|
||||
|
||||
```bash
|
||||
# 第 1 步：确保您的系统上安装了 NPM。并使用npm安装mermaid-js
|
||||
npm --version
|
||||
sudo npm install -g @mermaid-js/mermaid-cli
|
||||
|
||||
# 第 2 步：确保您的系统上安装了 Python 3.9+。您可以使用以下命令进行检查：
|
||||
python --version
|
||||
|
||||
# 第 3 步：克隆仓库到您的本地机器，并进行安装。
|
||||
git clone https://github.com/geekan/MetaGPT.git
|
||||
cd MetaGPT
|
||||
pip install -e.
|
||||
```
|
||||
|
||||
**注意：**
|
||||
|
||||
- 如果已经安装了Chrome、Chromium或MS Edge，可以通过将环境变量`PUPPETEER_SKIP_CHROMIUM_DOWNLOAD`设置为`true`来跳过下载Chromium。
|
||||
|
||||
- 一些人在全局安装此工具时遇到问题。在本地安装是替代解决方案，
|
||||
|
||||
```bash
|
||||
npm install @mermaid-js/mermaid-cli
|
||||
```
|
||||
|
||||
- 不要忘记在config.yml中为mmdc配置配置，
|
||||
|
||||
```yml
|
||||
PUPPETEER_CONFIG: "./config/puppeteer-config.json"
|
||||
MMDC: "./node_modules/.bin/mmdc"
|
||||
```
|
||||
|
||||
- 如果`pip install -e.`失败并显示错误`[Errno 13] Permission denied: '/usr/local/lib/python3.11/dist-packages/test-easy-install-13129.write-test'`，请尝试使用`pip install -e. --user`运行。
|
||||
44
docs/install/docker_install.md
Normal file
44
docs/install/docker_install.md
Normal file
|
|
@ -0,0 +1,44 @@
|
|||
## Docker Installation
|
||||
|
||||
### Use default MetaGPT image
|
||||
|
||||
```bash
|
||||
# Step 1: Download metagpt official image and prepare config.yaml
|
||||
docker pull metagpt/metagpt:latest
|
||||
mkdir -p /opt/metagpt/{config,workspace}
|
||||
docker run --rm metagpt/metagpt:latest cat /app/metagpt/config/config.yaml > /opt/metagpt/config/key.yaml
|
||||
vim /opt/metagpt/config/key.yaml # Change the config
|
||||
|
||||
# Step 2: Run metagpt demo with container
|
||||
docker run --rm \
|
||||
--privileged \
|
||||
-v /opt/metagpt/config/key.yaml:/app/metagpt/config/key.yaml \
|
||||
-v /opt/metagpt/workspace:/app/metagpt/workspace \
|
||||
metagpt/metagpt:latest \
|
||||
python3 startup.py "Write a cli snake game"
|
||||
|
||||
# You can also start a container and execute commands in it
|
||||
docker run --name metagpt -d \
|
||||
--privileged \
|
||||
-v /opt/metagpt/config/key.yaml:/app/metagpt/config/key.yaml \
|
||||
-v /opt/metagpt/workspace:/app/metagpt/workspace \
|
||||
metagpt/metagpt:latest
|
||||
|
||||
docker exec -it metagpt /bin/bash
|
||||
$ python3 startup.py "Write a cli snake game"
|
||||
```
|
||||
|
||||
The command `docker run ...` do the following things:
|
||||
|
||||
- Run in privileged mode to have permission to run the browser
|
||||
- Map host configure file `/opt/metagpt/config/key.yaml` to container `/app/metagpt/config/key.yaml`
|
||||
- Map host directory `/opt/metagpt/workspace` to container `/app/metagpt/workspace`
|
||||
- Execute the demo command `python3 startup.py "Write a cli snake game"`
|
||||
|
||||
### Build image by yourself
|
||||
|
||||
```bash
|
||||
# You can also build metagpt image by yourself.
|
||||
git clone https://github.com/geekan/MetaGPT.git
|
||||
cd MetaGPT && docker build -t metagpt:custom .
|
||||
```
|
||||
44
docs/install/docker_install_cn.md
Normal file
44
docs/install/docker_install_cn.md
Normal file
|
|
@ -0,0 +1,44 @@
|
|||
## Docker安装
|
||||
|
||||
### 使用MetaGPT镜像
|
||||
|
||||
```bash
|
||||
# 步骤1: 下载metagpt官方镜像并准备好config.yaml
|
||||
docker pull metagpt/metagpt:latest
|
||||
mkdir -p /opt/metagpt/{config,workspace}
|
||||
docker run --rm metagpt/metagpt:latest cat /app/metagpt/config/config.yaml > /opt/metagpt/config/key.yaml
|
||||
vim /opt/metagpt/config/key.yaml # 修改配置文件
|
||||
|
||||
# 步骤2: 使用容器运行metagpt演示
|
||||
docker run --rm \
|
||||
--privileged \
|
||||
-v /opt/metagpt/config/key.yaml:/app/metagpt/config/key.yaml \
|
||||
-v /opt/metagpt/workspace:/app/metagpt/workspace \
|
||||
metagpt/metagpt:latest \
|
||||
python startup.py "Write a cli snake game"
|
||||
|
||||
# 您也可以启动一个容器并在其中执行命令
|
||||
docker run --name metagpt -d \
|
||||
--privileged \
|
||||
-v /opt/metagpt/config/key.yaml:/app/metagpt/config/key.yaml \
|
||||
-v /opt/metagpt/workspace:/app/metagpt/workspace \
|
||||
metagpt/metagpt:latest
|
||||
|
||||
docker exec -it metagpt /bin/bash
|
||||
$ python startup.py "Write a cli snake game"
|
||||
```
|
||||
|
||||
`docker run ...`做了以下事情:
|
||||
|
||||
- 以特权模式运行，有权限运行浏览器
|
||||
- 将主机文件 `/opt/metagpt/config/key.yaml` 映射到容器文件 `/app/metagpt/config/key.yaml`
|
||||
- 将主机目录 `/opt/metagpt/workspace` 映射到容器目录 `/app/metagpt/workspace`
|
||||
- 执行示例命令 `python startup.py "Write a cli snake game"`
|
||||
|
||||
### 自己构建镜像
|
||||
|
||||
```bash
|
||||
# 您也可以自己构建metagpt镜像
|
||||
git clone https://github.com/geekan/MetaGPT.git
|
||||
cd MetaGPT && docker build -t metagpt:custom .
|
||||
```
|
||||
67
docs/tutorial/usage.md
Normal file
67
docs/tutorial/usage.md
Normal file
|
|
@ -0,0 +1,67 @@
|
|||
## MetaGPT Usage
|
||||
|
||||
### Configuration
|
||||
|
||||
- Configure your `OPENAI_API_KEY` in any of `config/key.yaml / config/config.yaml / env`
|
||||
- Priority order: `config/key.yaml > config/config.yaml > env`
|
||||
|
||||
```bash
|
||||
# Copy the configuration file and make the necessary modifications.
|
||||
cp config/config.yaml config/key.yaml
|
||||
```
|
||||
|
||||
| Variable Name | config/key.yaml | env |
|
||||
| ------------------------------------------ | ----------------------------------------- | ----------------------------------------------- |
|
||||
| OPENAI_API_KEY # Replace with your own key | OPENAI_API_KEY: "sk-..." | export OPENAI_API_KEY="sk-..." |
|
||||
| OPENAI_API_BASE # Optional | OPENAI_API_BASE: "https://<YOUR_SITE>/v1" | export OPENAI_API_BASE="https://<YOUR_SITE>/v1" |
|
||||
|
||||
### Initiating a startup
|
||||
|
||||
```shell
|
||||
# Run the script
|
||||
python startup.py "Write a cli snake game"
|
||||
# Do not hire an engineer to implement the project
|
||||
python startup.py "Write a cli snake game" --implement False
|
||||
# Hire an engineer and perform code reviews
|
||||
python startup.py "Write a cli snake game" --code_review True
|
||||
```
|
||||
|
||||
After running the script, you can find your new project in the `workspace/` directory.
|
||||
|
||||
### Preference of Platform or Tool
|
||||
|
||||
You can tell which platform or tool you want to use when stating your requirements.
|
||||
|
||||
```shell
|
||||
python startup.py "Write a cli snake game based on pygame"
|
||||
```
|
||||
|
||||
### Usage
|
||||
|
||||
```
|
||||
NAME
|
||||
startup.py - We are a software startup comprised of AI. By investing in us, you are empowering a future filled with limitless possibilities.
|
||||
|
||||
SYNOPSIS
|
||||
startup.py IDEA <flags>
|
||||
|
||||
DESCRIPTION
|
||||
We are a software startup comprised of AI. By investing in us, you are empowering a future filled with limitless possibilities.
|
||||
|
||||
POSITIONAL ARGUMENTS
|
||||
IDEA
|
||||
Type: str
|
||||
Your innovative idea, such as "Creating a snake game."
|
||||
|
||||
FLAGS
|
||||
--investment=INVESTMENT
|
||||
Type: float
|
||||
Default: 3.0
|
||||
As an investor, you have the opportunity to contribute a certain dollar amount to this AI company.
|
||||
--n_round=N_ROUND
|
||||
Type: int
|
||||
Default: 5
|
||||
|
||||
NOTES
|
||||
You can also use flags syntax for POSITIONAL ARGUMENTS
|
||||
```
|
||||
63
docs/tutorial/usage_cn.md
Normal file
63
docs/tutorial/usage_cn.md
Normal file
|
|
@ -0,0 +1,63 @@
|
|||
## MetaGPT 使用
|
||||
|
||||
### 配置
|
||||
|
||||
- 在 `config/key.yaml / config/config.yaml / env` 中配置您的 `OPENAI_API_KEY`
|
||||
- 优先级顺序：`config/key.yaml > config/config.yaml > env`
|
||||
|
||||
```bash
|
||||
# 复制配置文件并进行必要的修改
|
||||
cp config/config.yaml config/key.yaml
|
||||
```
|
||||
|
||||
| 变量名 | config/key.yaml | env |
|
||||
| ----------------------------------- | ----------------------------------------- | ----------------------------------------------- |
|
||||
| OPENAI_API_KEY # 用您自己的密钥替换 | OPENAI_API_KEY: "sk-..." | export OPENAI_API_KEY="sk-..." |
|
||||
| OPENAI_API_BASE # 可选 | OPENAI_API_BASE: "https://<YOUR_SITE>/v1" | export OPENAI_API_BASE="https://<YOUR_SITE>/v1" |
|
||||
|
||||
### 示例：启动一个创业公司
|
||||
|
||||
```shell
|
||||
python startup.py "写一个命令行贪吃蛇"
|
||||
# 开启code review模式会花费更多的金钱, 但是会提升代码质量和成功率
|
||||
python startup.py "写一个命令行贪吃蛇" --code_review True
|
||||
```
|
||||
|
||||
运行脚本后，您可以在 `workspace/` 目录中找到您的新项目。
|
||||
|
||||
### 平台或工具的倾向性
|
||||
可以在阐述需求时说明想要使用的平台或工具。
|
||||
例如：
|
||||
```shell
|
||||
python startup.py "写一个基于pygame的命令行贪吃蛇"
|
||||
```
|
||||
|
||||
### 使用
|
||||
|
||||
```
|
||||
名称
|
||||
startup.py - 我们是一家AI软件创业公司。通过投资我们，您将赋能一个充满无限可能的未来。
|
||||
|
||||
概要
|
||||
startup.py IDEA <flags>
|
||||
|
||||
描述
|
||||
我们是一家AI软件创业公司。通过投资我们，您将赋能一个充满无限可能的未来。
|
||||
|
||||
位置参数
|
||||
IDEA
|
||||
类型: str
|
||||
您的创新想法，例如"写一个命令行贪吃蛇。"
|
||||
|
||||
标志
|
||||
--investment=INVESTMENT
|
||||
类型: float
|
||||
默认值: 3.0
|
||||
作为投资者，您有机会向这家AI公司投入一定的美元金额。
|
||||
--n_round=N_ROUND
|
||||
类型: int
|
||||
默认值: 5
|
||||
|
||||
备注
|
||||
您也可以用`标志`的语法，来处理`位置参数`
|
||||
```
|
||||
|
|
@ -9,6 +9,7 @@ import asyncio
|
|||
|
||||
import fire
|
||||
|
||||
from metagpt.llm import LLM
|
||||
from metagpt.actions import Action
|
||||
from metagpt.roles import Role
|
||||
from metagpt.schema import Message
|
||||
|
|
@ -19,19 +20,10 @@ class SimpleWriteCode(Action):
|
|||
PROMPT_TEMPLATE = """
|
||||
Write a python function that can {instruction} and provide two runnnable test cases.
|
||||
Return ```python your_code_here ``` with NO other texts,
|
||||
example:
|
||||
```python
|
||||
# function
|
||||
def add(a, b):
|
||||
return a + b
|
||||
# test cases
|
||||
print(add(1, 2))
|
||||
print(add(3, 4))
|
||||
```
|
||||
your code:
|
||||
"""
|
||||
|
||||
def __init__(self, name="SimpleWriteCode", context=None, llm=None):
|
||||
def __init__(self, name: str = "SimpleWriteCode", context=None, llm: LLM = None):
|
||||
super().__init__(name, context, llm)
|
||||
|
||||
async def run(self, instruction: str):
|
||||
|
|
@ -51,8 +43,9 @@ class SimpleWriteCode(Action):
|
|||
code_text = match.group(1) if match else rsp
|
||||
return code_text
|
||||
|
||||
|
||||
class SimpleRunCode(Action):
|
||||
def __init__(self, name="SimpleRunCode", context=None, llm=None):
|
||||
def __init__(self, name: str = "SimpleRunCode", context=None, llm: LLM = None):
|
||||
super().__init__(name, context, llm)
|
||||
|
||||
async def run(self, code_text: str):
|
||||
|
|
@ -61,6 +54,7 @@ class SimpleRunCode(Action):
|
|||
logger.info(f"{code_result=}")
|
||||
return code_result
|
||||
|
||||
|
||||
class SimpleCoder(Role):
|
||||
def __init__(
|
||||
self,
|
||||
|
|
@ -73,15 +67,16 @@ class SimpleCoder(Role):
|
|||
|
||||
async def _act(self) -> Message:
|
||||
logger.info(f"{self._setting}: ready to {self._rc.todo}")
|
||||
todo = self._rc.todo
|
||||
todo = self._rc.todo # todo will be SimpleWriteCode()
|
||||
|
||||
msg = self.get_memories(k=1)[0] # find the most recent messages
|
||||
|
||||
code_text = await SimpleWriteCode().run(msg.content)
|
||||
msg = Message(content=code_text, role=self.profile, cause_by=todo)
|
||||
code_text = await todo.run(msg.content)
|
||||
msg = Message(content=code_text, role=self.profile, cause_by=type(todo))
|
||||
|
||||
return msg
|
||||
|
||||
|
||||
class RunnableCoder(Role):
|
||||
def __init__(
|
||||
self,
|
||||
|
|
@ -95,6 +90,8 @@ class RunnableCoder(Role):
|
|||
|
||||
async def _act(self) -> Message:
|
||||
logger.info(f"{self._setting}: ready to {self._rc.todo}")
|
||||
# By choosing the Action by order under the hood
|
||||
# todo will be first SimpleWriteCode() then SimpleRunCode()
|
||||
todo = self._rc.todo
|
||||
|
||||
msg = self.get_memories(k=1)[0] # find the most k recent messages
|
||||
|
|
@ -104,6 +101,7 @@ class RunnableCoder(Role):
|
|||
self._rc.memory.add(msg)
|
||||
return msg
|
||||
|
||||
|
||||
def main(msg="write a function that calculates the product of a list and run it"):
|
||||
# role = SimpleCoder()
|
||||
role = RunnableCoder()
|
||||
|
|
|
|||
158
examples/build_customized_multi_agents.py
Normal file
158
examples/build_customized_multi_agents.py
Normal file
|
|
@ -0,0 +1,158 @@
|
|||
'''
|
||||
Filename: MetaGPT/examples/build_customized_multi_agents.py
|
||||
Created Date: Wednesday, November 15th 2023, 7:12:39 pm
|
||||
Author: garylin2099
|
||||
'''
|
||||
import re
|
||||
import asyncio
|
||||
import fire
|
||||
|
||||
from metagpt.llm import LLM
|
||||
from metagpt.actions import Action, BossRequirement
|
||||
from metagpt.roles import Role
|
||||
from metagpt.team import Team
|
||||
from metagpt.schema import Message
|
||||
from metagpt.logs import logger
|
||||
|
||||
def parse_code(rsp):
|
||||
pattern = r'```python(.*)```'
|
||||
match = re.search(pattern, rsp, re.DOTALL)
|
||||
code_text = match.group(1) if match else rsp
|
||||
return code_text
|
||||
|
||||
class SimpleWriteCode(Action):
|
||||
|
||||
PROMPT_TEMPLATE = """
|
||||
Write a python function that can {instruction}.
|
||||
Return ```python your_code_here ``` with NO other texts,
|
||||
your code:
|
||||
"""
|
||||
|
||||
def __init__(self, name: str = "SimpleWriteCode", context=None, llm: LLM = None):
|
||||
super().__init__(name, context, llm)
|
||||
|
||||
async def run(self, instruction: str):
|
||||
|
||||
prompt = self.PROMPT_TEMPLATE.format(instruction=instruction)
|
||||
|
||||
rsp = await self._aask(prompt)
|
||||
|
||||
code_text = parse_code(rsp)
|
||||
|
||||
return code_text
|
||||
|
||||
|
||||
class SimpleCoder(Role):
|
||||
def __init__(
|
||||
self,
|
||||
name: str = "Alice",
|
||||
profile: str = "SimpleCoder",
|
||||
**kwargs,
|
||||
):
|
||||
super().__init__(name, profile, **kwargs)
|
||||
self._watch([BossRequirement])
|
||||
self._init_actions([SimpleWriteCode])
|
||||
|
||||
|
||||
class SimpleWriteTest(Action):
|
||||
|
||||
PROMPT_TEMPLATE = """
|
||||
Context: {context}
|
||||
Write {k} unit tests using pytest for the given function, assuming you have imported it.
|
||||
Return ```python your_code_here ``` with NO other texts,
|
||||
your code:
|
||||
"""
|
||||
|
||||
def __init__(self, name: str = "SimpleWriteTest", context=None, llm: LLM = None):
|
||||
super().__init__(name, context, llm)
|
||||
|
||||
async def run(self, context: str, k: int = 3):
|
||||
|
||||
prompt = self.PROMPT_TEMPLATE.format(context=context, k=k)
|
||||
|
||||
rsp = await self._aask(prompt)
|
||||
|
||||
code_text = parse_code(rsp)
|
||||
|
||||
return code_text
|
||||
|
||||
|
||||
class SimpleTester(Role):
|
||||
def __init__(
|
||||
self,
|
||||
name: str = "Bob",
|
||||
profile: str = "SimpleTester",
|
||||
**kwargs,
|
||||
):
|
||||
super().__init__(name, profile, **kwargs)
|
||||
self._init_actions([SimpleWriteTest])
|
||||
# self._watch([SimpleWriteCode])
|
||||
self._watch([SimpleWriteCode, SimpleWriteReview]) # feel free to try this too
|
||||
|
||||
async def _act(self) -> Message:
|
||||
logger.info(f"{self._setting}: ready to {self._rc.todo}")
|
||||
todo = self._rc.todo
|
||||
|
||||
# context = self.get_memories(k=1)[0].content # use the most recent memory as context
|
||||
context = self.get_memories() # use all memories as context
|
||||
|
||||
code_text = await todo.run(context, k=5) # specify arguments
|
||||
msg = Message(content=code_text, role=self.profile, cause_by=type(todo))
|
||||
|
||||
return msg
|
||||
|
||||
|
||||
class SimpleWriteReview(Action):
|
||||
|
||||
PROMPT_TEMPLATE = """
|
||||
Context: {context}
|
||||
Review the test cases and provide one critical comments:
|
||||
"""
|
||||
|
||||
def __init__(self, name: str = "SimpleWriteReview", context=None, llm: LLM = None):
|
||||
super().__init__(name, context, llm)
|
||||
|
||||
async def run(self, context: str):
|
||||
|
||||
prompt = self.PROMPT_TEMPLATE.format(context=context)
|
||||
|
||||
rsp = await self._aask(prompt)
|
||||
|
||||
return rsp
|
||||
|
||||
|
||||
class SimpleReviewer(Role):
|
||||
def __init__(
|
||||
self,
|
||||
name: str = "Charlie",
|
||||
profile: str = "SimpleReviewer",
|
||||
**kwargs,
|
||||
):
|
||||
super().__init__(name, profile, **kwargs)
|
||||
self._init_actions([SimpleWriteReview])
|
||||
self._watch([SimpleWriteTest])
|
||||
|
||||
|
||||
async def main(
|
||||
idea: str = "write a function that calculates the product of a list",
|
||||
investment: float = 3.0,
|
||||
n_round: int = 5,
|
||||
add_human: bool = False,
|
||||
):
|
||||
logger.info(idea)
|
||||
|
||||
team = Team()
|
||||
team.hire(
|
||||
[
|
||||
SimpleCoder(),
|
||||
SimpleTester(),
|
||||
SimpleReviewer(is_human=add_human),
|
||||
]
|
||||
)
|
||||
|
||||
team.invest(investment=investment)
|
||||
team.start_project(idea)
|
||||
await team.run(n_round=n_round)
|
||||
|
||||
if __name__ == '__main__':
|
||||
fire.Fire(main)
|
||||
|
|
@ -77,6 +77,8 @@ class Debator(Role):
|
|||
send_to=self.opponent_name,
|
||||
)
|
||||
|
||||
self._rc.memory.add(msg)
|
||||
|
||||
return msg
|
||||
|
||||
async def debate(idea: str, investment: float = 3.0, n_round: int = 5):
|
||||
|
|
|
|||
|
|
@ -12,6 +12,7 @@ from metagpt.provider.anthropic_api import Claude2 as Claude
|
|||
from metagpt.provider.openai_api import OpenAIGPTAPI
|
||||
from metagpt.provider.zhipuai_api import ZhiPuAIGPTAPI
|
||||
from metagpt.provider.spark_api import SparkAPI
|
||||
from metagpt.provider.human_provider import HumanProvider
|
||||
|
||||
|
||||
def LLM() -> "BaseGPTAPI":
|
||||
|
|
|
|||
35
metagpt/provider/human_provider.py
Normal file
35
metagpt/provider/human_provider.py
Normal file
|
|
@ -0,0 +1,35 @@
|
|||
'''
|
||||
Filename: MetaGPT/metagpt/provider/human_provider.py
|
||||
Created Date: Wednesday, November 8th 2023, 11:55:46 pm
|
||||
Author: garylin2099
|
||||
'''
|
||||
from typing import Optional
|
||||
from metagpt.provider.base_gpt_api import BaseGPTAPI
|
||||
from metagpt.logs import logger
|
||||
|
||||
class HumanProvider(BaseGPTAPI):
|
||||
"""Humans provide themselves as a 'model', which actually takes in human input as its response.
|
||||
This enables replacing LLM anywhere in the framework with a human, thus introducing human interaction
|
||||
"""
|
||||
|
||||
def ask(self, msg: str) -> str:
|
||||
logger.info("It's your turn, please type in your response. You may also refer to the context below")
|
||||
rsp = input(msg)
|
||||
if rsp in ["exit", "quit"]:
|
||||
exit()
|
||||
return rsp
|
||||
|
||||
async def aask(self, msg: str, system_msgs: Optional[list[str]] = None) -> str:
|
||||
return self.ask(msg)
|
||||
|
||||
def completion(self, messages: list[dict]):
|
||||
"""dummy implementation of abstract method in base"""
|
||||
return []
|
||||
|
||||
async def acompletion(self, messages: list[dict]):
|
||||
"""dummy implementation of abstract method in base"""
|
||||
return []
|
||||
|
||||
async def acompletion_text(self, messages: list[dict], stream=False) -> str:
|
||||
"""dummy implementation of abstract method in base"""
|
||||
return []
|
||||
|
|
@ -15,7 +15,7 @@ from pydantic import BaseModel, Field
|
|||
# from metagpt.environment import Environment
|
||||
from metagpt.config import CONFIG
|
||||
from metagpt.actions import Action, ActionOutput
|
||||
from metagpt.llm import LLM
|
||||
from metagpt.llm import LLM, HumanProvider
|
||||
from metagpt.logs import logger
|
||||
from metagpt.memory import Memory, LongTermMemory
|
||||
from metagpt.schema import Message
|
||||
|
|
@ -65,6 +65,7 @@ class RoleSetting(BaseModel):
|
|||
goal: str
|
||||
constraints: str
|
||||
desc: str
|
||||
is_human: bool
|
||||
|
||||
def __str__(self):
|
||||
return f"{self.name}({self.profile})"
|
||||
|
|
@ -106,9 +107,10 @@ class RoleContext(BaseModel):
|
|||
class Role:
|
||||
"""Role/Agent"""
|
||||
|
||||
def __init__(self, name="", profile="", goal="", constraints="", desc=""):
|
||||
self._llm = LLM()
|
||||
self._setting = RoleSetting(name=name, profile=profile, goal=goal, constraints=constraints, desc=desc)
|
||||
def __init__(self, name="", profile="", goal="", constraints="", desc="", is_human=False):
|
||||
self._llm = LLM() if not is_human else HumanProvider()
|
||||
self._setting = RoleSetting(name=name, profile=profile, goal=goal,
|
||||
constraints=constraints, desc=desc, is_human=is_human)
|
||||
self._states = []
|
||||
self._actions = []
|
||||
self._role_id = str(self._setting)
|
||||
|
|
@ -122,8 +124,11 @@ class Role:
|
|||
self._reset()
|
||||
for idx, action in enumerate(actions):
|
||||
if not isinstance(action, Action):
|
||||
i = action("")
|
||||
i = action("", llm=self._llm)
|
||||
else:
|
||||
if self._setting.is_human and not isinstance(action.llm, HumanProvider):
|
||||
logger.warning(f"is_human attribute does not take effect,"
|
||||
f"as Role's {str(action)} was initialized using LLM, try passing in Action classes instead of initialized instances")
|
||||
i = action
|
||||
i.set_prefix(self._get_prefix(), self.profile)
|
||||
self._actions.append(i)
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue