diff --git a/README.md b/README.md index f8db80a80..9a496cff4 100644 --- a/README.md +++ b/README.md @@ -53,6 +53,24 @@ # Step 3: Clone the repository to your local machine, and install it. python setup.py install ``` +**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" + ``` + ### Installation by Docker ```bash @@ -120,7 +138,12 @@ # Use code review will cost more money, but will opt for better code quality. ``` 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 ``` diff --git a/puppeteer-config.json b/config/puppeteer-config.json similarity index 100% rename from puppeteer-config.json rename to config/puppeteer-config.json diff --git a/docs/README_CN.md b/docs/README_CN.md index 72188a415..6458861c9 100644 --- a/docs/README_CN.md +++ b/docs/README_CN.md @@ -1,4 +1,4 @@ -# MetaGPT:多智能体元编程框架 +# MetaGPT: 多智能体框架
@@ -37,6 +37,8 @@ ## 示例(均由 GPT-4 生成)
## 安装
+### 传统安装
+
```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
@@ -51,13 +53,56 @@ # 第 3 步:克隆仓库到您的本地机器,并进行安装。
python setup.py install
```
+### Docker安装
+
+```bash
+# 步骤1: 下载metagpt官方镜像并准备好config.yaml
+docker pull metagpt/metagpt:v0.3
+mkdir -p /opt/metagpt/{config,workspace}
+docker run --rm metagpt/metagpt:v0.3 cat /app/metagpt/config/config.yaml > /opt/metagpt/config/config.yaml
+vim /opt/metagpt/config/config.yaml # 修改config
+
+# 步骤2: 使用容器运行metagpt演示
+docker run --rm \
+ --privileged \
+ -v /opt/metagpt/config:/app/metagpt/config \
+ -v /opt/metagpt/workspace:/app/metagpt/workspace \
+ metagpt/metagpt:v0.3 \
+ 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:/app/metagpt/config \
+ -v /opt/metagpt/workspace:/app/metagpt/workspace \
+ metagpt/metagpt:v0.3
+
+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
+- 将主机目录 `/opt/metagpt/config` 映射到容器目录`/app/metagpt/config`
+- 将主机目录 `/opt/metagpt/workspace` 映射到容器目录 `/app/metagpt/workspace`
+- 执行演示命令 `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:v0.3 .
+```
+
## 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。
+# 复制配置文件并进行必要的修改
cp config/config.yaml config/key.yaml
```
@@ -71,10 +116,47 @@ ## 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模式会会花费更多的money, 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
+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
-
+如果群已满,请添加负责人微信,会邀请进群
+
+
\ No newline at end of file
diff --git a/docs/README_JA.md b/docs/README_JA.md
index 8742d98d6..a5e5f6552 100644
--- a/docs/README_JA.md
+++ b/docs/README_JA.md
@@ -53,6 +53,24 @@ # ステップ 3: リポジトリをローカルマシンにクローンし、
python setup.py install
```
+**注:**
+
+- すでに Chrome、Chromium、MS Edge がインストールされている場合は、環境変数 `PUPPETEER_SKIP_CHROMIUM_DOWNLOAD` を `true` に設定することで、
+Chromium のダウンロードをスキップすることができます。
+
+- このツールをグローバルにインストールする[問題を抱えている](https://github.com/mermaidjs/mermaid.cli/issues/15)人もいます。ローカルにインストールするのが代替の解決策です、
+
+ ```bash
+ npm install @mermaid-js/mermaid-cli
+ ```
+
+- config.yml に mmdc のコンフィギュレーションを記述するのを忘れないこと
+
+ ```yml
+ PUPPETEER_CONFIG: "./config/puppeteer-config.json"
+ MMDC: "./node_modules/.bin/mmdc"
+ ```
+
### Docker によるインストール
```bash
@@ -120,6 +138,12 @@ # コードレビューを利用すれば、コストはかかるが、より良
```
スクリプトを実行すると、`workspace/` ディレクトリに新しいプロジェクトが見つかります。
+### プラットフォームまたはツールの設定
+
+要件を述べるときに、どのプラットフォームまたはツールを使用するかを指定できます。
+```shell
+python startup.py "Write a cli snake game based on pygame"
+```
### 使用方法
diff --git a/docs/resources/MetaGPT-WeChat-Group4.jpeg b/docs/resources/MetaGPT-WeChat-Group4.jpeg
new file mode 100644
index 000000000..f665f8b1d
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diff --git a/docs/resources/MetaGPT-WeChat-Personal.jpeg b/docs/resources/MetaGPT-WeChat-Personal.jpeg
index aaf6c775f..f6b48577d 100644
Binary files a/docs/resources/MetaGPT-WeChat-Personal.jpeg and b/docs/resources/MetaGPT-WeChat-Personal.jpeg differ
diff --git a/examples/search_with_specific_engine.py b/examples/search_with_specific_engine.py
index d63981c88..7cc431cd4 100644
--- a/examples/search_with_specific_engine.py
+++ b/examples/search_with_specific_engine.py
@@ -6,11 +6,11 @@ from metagpt.tools import SearchEngineType
async def main():
# Serper API
- await Searcher(engine=SearchEngineType.SERPER_GOOGLE).run("What are some good sun protection products?")
- # Serper API
- # await Searcher(engine=SearchEngineType.SERPAPI_GOOGLE).run("What are the best ski brands for skiers?")
+ #await Searcher(engine = SearchEngineType.SERPER_GOOGLE).run(["What are some good sun protection products?","What are some of the best beaches?"])
+ # SerpAPI
+ #await Searcher(engine=SearchEngineType.SERPAPI_GOOGLE).run("What are the best ski brands for skiers?")
# Google API
- # await Searcher(engine=SearchEngineType.DIRECT_GOOGLE).run("What are the most interesting human facts?")
+ await Searcher(engine=SearchEngineType.DIRECT_GOOGLE).run("What are the most interesting human facts?")
if __name__ == '__main__':
asyncio.run(main())