新修改。

docs/FAQ-EN.md

@@ -1,4 +1,5 @@
-Our vision is to [extend human life](https://github.com/geekan/HowToLiveLonger) and [reduce working hours](https://github.com/geekan/MetaGPT/).
+Our vision is to [extend human life](https://github.com/geekan/HowToLiveLonger)
+and [reduce working hours](https://github.com/geekan/MetaGPT/).
 
 1.  ### Convenient Link for Sharing this Document:
 
@@ -10,30 +11,36 @@
 
 <!---->
 
-1.  Code：https://github.com/geekan/MetaGPT
+1. Code：https://github.com/geekan/MetaGPT
 
-1.  Roadmap：https://github.com/geekan/MetaGPT/blob/main/docs/ROADMAP.md
+1. Roadmap：https://github.com/geekan/MetaGPT/blob/main/docs/ROADMAP.md
 
-1.  EN
+1. EN
 
-    1.  Demo Video: [MetaGPT: Multi-Agent AI Programming Framework](https://www.youtube.com/watch?v=8RNzxZBTW8M)
-    2. Tutorial: [MetaGPT: Deploy POWERFUL Autonomous Ai Agents BETTER Than SUPERAGI!](https://www.youtube.com/watch?v=q16Gi9pTG_M&t=659s)
+    1. Demo Video: [MetaGPT: Multi-Agent AI Programming Framework](https://www.youtube.com/watch?v=8RNzxZBTW8M)
+    2.
+    Tutorial: [MetaGPT: Deploy POWERFUL Autonomous Ai Agents BETTER Than SUPERAGI!](https://www.youtube.com/watch?v=q16Gi9pTG_M&t=659s)
     3. Author's thoughts video(EN): [MetaGPT Matthew Berman](https://youtu.be/uT75J_KG_aY?si=EgbfQNAwD8F5Y1Ak)
 
-1.  CN
+1. CN
+
+    1. Demo
+       Video: [MetaGPT：一行代码搭建你的虚拟公司_哔哩哔哩_bilibili](https://www.bilibili.com/video/BV1NP411C7GW/?spm_id_from=333.999.0.0&vd_source=735773c218b47da1b4bd1b98a33c5c77)
+    1.
+    Tutorial: [一个提示词写游戏 Flappy bird, 比AutoGPT强10倍的MetaGPT，最接近AGI的AI项目](https://youtu.be/Bp95b8yIH5c)
+    2. Author's thoughts video(
+       CN): [MetaGPT作者深度解析直播回放_哔哩哔哩_bilibili](https://www.bilibili.com/video/BV1Ru411V7XL/?spm_id_from=333.337.search-card.all.click)
 
-    1.  Demo Video: [MetaGPT：一行代码搭建你的虚拟公司_哔哩哔哩_bilibili](https://www.bilibili.com/video/BV1NP411C7GW/?spm_id_from=333.999.0.0&vd_source=735773c218b47da1b4bd1b98a33c5c77)
-    1.  Tutorial: [一个提示词写游戏 Flappy bird, 比AutoGPT强10倍的MetaGPT，最接近AGI的AI项目](https://youtu.be/Bp95b8yIH5c)
-    2.   Author's thoughts video(CN): [MetaGPT作者深度解析直播回放_哔哩哔哩_bilibili](https://www.bilibili.com/video/BV1Ru411V7XL/?spm_id_from=333.337.search-card.all.click)
-  
 <!---->
 
 3.  ### How to become a contributor?
 
 <!---->
 
-1.  Choose a task from the Roadmap (or you can propose one). By submitting a PR, you can become a contributor and join the dev team.
-1.  Current contributors come from backgrounds including: ByteDance AI Lab/DingDong/Didi/Xiaohongshu, Tencent/Baidu/MSRA/TikTok/BloomGPT Infra/Bilibili/CUHK/HKUST/CMU/UCB
+1. Choose a task from the Roadmap (or you can propose one). By submitting a PR, you can become a contributor and join
+   the dev team.
+1. Current contributors come from backgrounds including: ByteDance AI Lab/DingDong/Didi/Xiaohongshu,
+   Tencent/Baidu/MSRA/TikTok/BloomGPT Infra/Bilibili/CUHK/HKUST/CMU/UCB
 
 <!---->
 
@@ -41,11 +48,13 @@
 
 MetaGPT Community - The position of Chief Evangelist rotates on a monthly basis. The primary responsibilities include:
 
-1.  Maintaining community FAQ documents, announcements, Github resources/READMEs.
-1.  Responding to, answering, and distributing community questions within an average of 30 minutes, including on platforms like Github Issues, Discord and WeChat.
-1.  Upholding a community atmosphere that is enthusiastic, genuine, and friendly.
-1.  Encouraging everyone to become contributors and participate in projects that are closely related to achieving AGI (Artificial General Intelligence).
-1.  (Optional) Organizing small-scale events, such as hackathons.
+1. Maintaining community FAQ documents, announcements, Github resources/READMEs.
+1. Responding to, answering, and distributing community questions within an average of 30 minutes, including on
+   platforms like Github Issues, Discord and WeChat.
+1. Upholding a community atmosphere that is enthusiastic, genuine, and friendly.
+1. Encouraging everyone to become contributors and participate in projects that are closely related to achieving AGI (
+   Artificial General Intelligence).
+1. (Optional) Organizing small-scale events, such as hackathons.
 
 <!---->
 
@@ -53,131 +62,165 @@
 
 <!---->
 
-1.  Experience with the generated repo code:
+1. Experience with the generated repo code:
 
-    1.  https://github.com/geekan/MetaGPT/releases/tag/v0.1.0
+    1. https://github.com/geekan/MetaGPT/releases/tag/v0.1.0
 
-1.  Code truncation/ Parsing failure:
+1. Code truncation/ Parsing failure:
 
-    1.  Check if it's due to exceeding length. Consider using the gpt-3.5-turbo-16k or other long token versions.
+    1. Check if it's due to exceeding length. Consider using the gpt-3.5-turbo-16k or other long token versions.
 
-1.  Success rate:
+1. Success rate:
 
-    1.  There hasn't been a quantitative analysis yet, but the success rate of code generated by GPT-4 is significantly higher than that of gpt-3.5-turbo.
+    1. There hasn't been a quantitative analysis yet, but the success rate of code generated by GPT-4 is significantly
+       higher than that of gpt-3.5-turbo.
 
-1.  Support for incremental, differential updates (if you wish to continue a half-done task):
+1. Support for incremental, differential updates (if you wish to continue a half-done task):
 
-    1.  Several prerequisite tasks are listed on the ROADMAP.
+    1. Several prerequisite tasks are listed on the ROADMAP.
 
-1.  Can existing code be loaded?
+1. Can existing code be loaded?
 
-    1.  It's not on the ROADMAP yet, but there are plans in place. It just requires some time.
+    1. It's not on the ROADMAP yet, but there are plans in place. It just requires some time.
 
-1.  Support for multiple programming languages and natural languages?
+1. Support for multiple programming languages and natural languages?
 
-    1.  It's listed on ROADMAP.
+    1. It's listed on ROADMAP.
 
-1.  Want to join the contributor team? How to proceed?
+1. Want to join the contributor team? How to proceed?
 
-    1.  Merging a PR will get you into the contributor's team. The main ongoing tasks are all listed on the ROADMAP.
+    1. Merging a PR will get you into the contributor's team. The main ongoing tasks are all listed on the ROADMAP.
 
-1.  PRD stuck / unable to access/ connection interrupted
+1. PRD stuck / unable to access/ connection interrupted
 
-    1.  The official OPENAI_API_BASE address is `https://api.openai.com/v1`
-    1.  If the official OPENAI_API_BASE address is inaccessible in your environment (this can be verified with curl), it's recommended to configure using the reverse proxy OPENAI_API_BASE provided by libraries such as openai-forward. For instance, `OPENAI_API_BASE: "``https://api.openai-forward.com/v1``"`
-    1.  If the official OPENAI_API_BASE address is inaccessible in your environment (again, verifiable via curl), another option is to configure the OPENAI_PROXY parameter. This way, you can access the official OPENAI_API_BASE via a local proxy. If you don't need to access via a proxy, please do not enable this configuration; if accessing through a proxy is required, modify it to the correct proxy address. Note that when OPENAI_PROXY is enabled, don't set OPENAI_API_BASE.
-    1.  Note: OpenAI's default API design ends with a v1. An example of the correct configuration is: `OPENAI_API_BASE: "``https://api.openai.com/v1``"`
+    1. The official OPENAI_API_BASE address is `https://api.openai.com/v1`
+    1. If the official OPENAI_API_BASE address is inaccessible in your environment (this can be verified with curl),
+       it's recommended to configure using the reverse proxy OPENAI_API_BASE provided by libraries such as
+       openai-forward. For instance, `OPENAI_API_BASE: "``https://api.openai-forward.com/v1``"`
+    1. If the official OPENAI_API_BASE address is inaccessible in your environment (again, verifiable via curl), another
+       option is to configure the OPENAI_PROXY parameter. This way, you can access the official OPENAI_API_BASE via a
+       local proxy. If you don't need to access via a proxy, please do not enable this configuration; if accessing
+       through a proxy is required, modify it to the correct proxy address. Note that when OPENAI_PROXY is enabled,
+       don't set OPENAI_API_BASE.
+    1. Note: OpenAI's default API design ends with a v1. An example of the correct configuration
+       is: `OPENAI_API_BASE: "``https://api.openai.com/v1``"`
 
-1.  Absolutely! How can I assist you today?
+1. Absolutely! How can I assist you today?
 
-    1.  Did you use Chi or a similar service? These services are prone to errors, and it seems that the error rate is higher when consuming 3.5k-4k tokens in GPT-4
+    1. Did you use Chi or a similar service? These services are prone to errors, and it seems that the error rate is
+       higher when consuming 3.5k-4k tokens in GPT-4
 
-1.  What does Max token mean?
+1. What does Max token mean?
 
-    1.  It's a configuration for OpenAI's maximum response length. If the response exceeds the max token, it will be truncated.
+    1. It's a configuration for OpenAI's maximum response length. If the response exceeds the max token, it will be
+       truncated.
 
-1.  How to change the investment amount?
+1. How to change the investment amount?
 
-    1.  You can view all commands by typing `python startup.py --help`
+    1. You can view all commands by typing `python startup.py --help`
 
-1.  Which version of Python is more stable?
+1. Which version of Python is more stable?
 
-    1.  python3.9 / python3.10
+    1. python3.9 / python3.10
 
-1.  Can't use GPT-4, getting the error "The model gpt-4 does not exist."
+1. Can't use GPT-4, getting the error "The model gpt-4 does not exist."
 
-    1.  OpenAI's official requirement: You can use GPT-4 only after spending $1 on OpenAI.
-    1.  Tip: Run some data with gpt-3.5-turbo (consume the free quota and $1), and then you should be able to use gpt-4.
+    1. OpenAI's official requirement: You can use GPT-4 only after spending $1 on OpenAI.
+    1. Tip: Run some data with gpt-3.5-turbo (consume the free quota and $1), and then you should be able to use gpt-4.
 
-1.  Can games whose code has never been seen before be written?
+1. Can games whose code has never been seen before be written?
 
-    1.  Refer to the README. The recommendation system of Toutiao is one of the most complex systems in the world currently. Although it's not on GitHub, many discussions about it exist online. If it can visualize these, it suggests it can also summarize these discussions and convert them into code. The prompt would be something like "write a recommendation system similar to Toutiao". Note: this was approached in earlier versions of the software. The SOP of those versions was different; the current one adopts Elon Musk's five-step work method, emphasizing trimming down requirements as much as possible.
+    1. Refer to the README. The recommendation system of Toutiao is one of the most complex systems in the world
+       currently. Although it's not on GitHub, many discussions about it exist online. If it can visualize these, it
+       suggests it can also summarize these discussions and convert them into code. The prompt would be something like "
+       write a recommendation system similar to Toutiao". Note: this was approached in earlier versions of the software.
+       The SOP of those versions was different; the current one adopts Elon Musk's five-step work method, emphasizing
+       trimming down requirements as much as possible.
 
-1.  Under what circumstances would there typically be errors?
+1. Under what circumstances would there typically be errors?
 
-    1.  More than 500 lines of code: some function implementations may be left blank.
-    1.  When using a database, it often gets the implementation wrong — since the SQL database initialization process is usually not in the code.
-    1.  With more lines of code, there's a higher chance of false impressions, leading to calls to non-existent APIs.
+    1. More than 500 lines of code: some function implementations may be left blank.
+    1. When using a database, it often gets the implementation wrong — since the SQL database initialization process is
+       usually not in the code.
+    1. With more lines of code, there's a higher chance of false impressions, leading to calls to non-existent APIs.
 
-1.  Instructions for using SD Skills/UI Role:
+1. Instructions for using SD Skills/UI Role:
 
-    1.  Currently, there is a test script located in /tests/metagpt/roles. The file ui_role provides the corresponding code implementation. For testing, you can refer to the test_ui in the same directory.
+    1. Currently, there is a test script located in /tests/metagpt/roles. The file ui_role provides the corresponding
+       code implementation. For testing, you can refer to the test_ui in the same directory.
 
-    1.  The UI role takes over from the product manager role, extending the output from the 【UI Design draft】 provided by the product manager role. The UI role has implemented the UIDesign Action. Within the run of UIDesign, it processes the respective context, and based on the set template, outputs the UI. The output from the UI role includes:
+    1. The UI role takes over from the product manager role, extending the output from the 【UI Design draft】 provided by
+       the product manager role. The UI role has implemented the UIDesign Action. Within the run of UIDesign, it
+       processes the respective context, and based on the set template, outputs the UI. The output from the UI role
+       includes:
 
-        1.  UI Design Description：Describes the content to be designed and the design objectives.
-        1.  Selected Elements：Describes the elements in the design that need to be illustrated.
-        1.  HTML Layout：Outputs the HTML code for the page.
-        1.  CSS Styles (styles.css)：Outputs the CSS code for the page.
+        1. UI Design Description：Describes the content to be designed and the design objectives.
+        1. Selected Elements：Describes the elements in the design that need to be illustrated.
+        1. HTML Layout：Outputs the HTML code for the page.
+        1. CSS Styles (styles.css)：Outputs the CSS code for the page.
 
-    1.  Currently, the SD skill is a tool invoked by UIDesign. It instantiates the SDEngine, with specific code found in metagpt/tools/sd_engine.
+    1. Currently, the SD skill is a tool invoked by UIDesign. It instantiates the SDEngine, with specific code found in
+       metagpt/tools/sd_engine.
 
-    1.  Configuration instructions for SD Skills: The SD interface is currently deployed based on *https://github.com/AUTOMATIC1111/stable-diffusion-webui* **For environmental configurations and model downloads, please refer to the aforementioned GitHub repository. To initiate the SD service that supports API calls, run the command specified in cmd with the parameter nowebui, i.e.,
+    1. Configuration instructions for SD Skills: The SD interface is currently deployed based on
+       *https://github.com/AUTOMATIC1111/stable-diffusion-webui* **For environmental configurations and model downloads,
+       please refer to the aforementioned GitHub repository. To initiate the SD service that supports API calls, run the
+       command specified in cmd with the parameter nowebui, i.e.,
 
         1.  > python webui.py --enable-insecure-extension-access --port xxx --no-gradio-queue --nowebui
-        1.      Once it runs without errors, the interface will be accessible after approximately 1 minute when the model finishes loading.
-        1.  Configure SD_URL and SD_T2I_API in the config.yaml/key.yaml files.
-        1.  ![](https://p3-juejin.byteimg.com/tos-cn-i-k3u1fbpfcp/065295a67b0b4feea665d1372722d49d~tplv-k3u1fbpfcp-zoom-1.image)
-        1.      SD_URL is the deployed server/machine IP, and Port is the specified port above, defaulting to 7860.
+        1. Once it runs without errors, the interface will be accessible after approximately 1 minute when the model
+           finishes loading.
+        1. Configure SD_URL and SD_T2I_API in the config.yaml/key.yaml files.
+        1. ![](https://p3-juejin.byteimg.com/tos-cn-i-k3u1fbpfcp/065295a67b0b4feea665d1372722d49d~tplv-k3u1fbpfcp-zoom-1.image)
+        1. SD_URL is the deployed server/machine IP, and Port is the specified port above, defaulting to 7860.
         1.  > SD_URL: IP:Port
 
-1.  An error occurred during installation: "Another program is using this file...egg".
+1. An error occurred during installation: "Another program is using this file...egg".
 
-    1.  Delete the file and try again.
-    1.  Or manually execute`pip install -r requirements.txt`
+    1. Delete the file and try again.
+    1. Or manually execute`pip install -r requirements.txt`
 
-1.  The origin of the name MetaGPT？
+1. The origin of the name MetaGPT？
 
-    1.  The name was derived after iterating with GPT-4 over a dozen rounds. GPT-4 scored and suggested it.
+    1. The name was derived after iterating with GPT-4 over a dozen rounds. GPT-4 scored and suggested it.
 
-1.  Is there a more step-by-step installation tutorial?
+1. Is there a more step-by-step installation tutorial?
 
-    1.  Youtube（CN）：[一个提示词写游戏 Flappy bird, 比AutoGPT强10倍的MetaGPT，最接近AGI的AI项目=一个软件公司产品经理+程序员](https://youtu.be/Bp95b8yIH5c)
-    1.  Youtube（EN）https://www.youtube.com/watch?v=q16Gi9pTG_M&t=659s
-    2.  video(EN): [MetaGPT Matthew Berman](https://youtu.be/uT75J_KG_aY?si=EgbfQNAwD8F5Y1Ak)
+    1.
+    Youtube（CN）：[一个提示词写游戏 Flappy bird, 比AutoGPT强10倍的MetaGPT，最接近AGI的AI项目=一个软件公司产品经理+程序员](https://youtu.be/Bp95b8yIH5c)
+    1. Youtube（EN）https://www.youtube.com/watch?v=q16Gi9pTG_M&t=659s
+    2. video(EN): [MetaGPT Matthew Berman](https://youtu.be/uT75J_KG_aY?si=EgbfQNAwD8F5Y1Ak)
 
-1.  openai.error.RateLimitError: You exceeded your current quota, please check your plan and billing details
+1. openai.error.RateLimitError: You exceeded your current quota, please check your plan and billing details
 
-    1.  If you haven't exhausted your free quota, set RPM to 3 or lower in the settings.
-    1.  If your free quota is used up, consider adding funds to your account.
+    1. If you haven't exhausted your free quota, set RPM to 3 or lower in the settings.
+    1. If your free quota is used up, consider adding funds to your account.
 
-1.  What does "borg" mean in n_borg?
+1. What does "borg" mean in n_borg?
 
-    1.  [Wikipedia borg meaning ](https://en.wikipedia.org/wiki/Borg)
-    1.  The Borg civilization operates based on a hive or collective mentality, known as "the Collective." Every Borg individual is connected to the collective via a sophisticated subspace network, ensuring continuous oversight and guidance for every member. This collective consciousness allows them to not only "share the same thoughts" but also to adapt swiftly to new strategies. While individual members of the collective rarely communicate, the collective "voice" sometimes transmits aboard ships.
+    1. [Wikipedia borg meaning ](https://en.wikipedia.org/wiki/Borg)
+    1. The Borg civilization operates based on a hive or collective mentality, known as "the Collective." Every Borg
+       individual is connected to the collective via a sophisticated subspace network, ensuring continuous oversight and
+       guidance for every member. This collective consciousness allows them to not only "share the same thoughts" but
+       also to adapt swiftly to new strategies. While individual members of the collective rarely communicate, the
+       collective "voice" sometimes transmits aboard ships.
 
-1.  How to use the Claude API？
+1. How to use the Claude API？
 
-    1.  The full implementation of the Claude API is not provided in the current code.
-    1.  You can use the Claude API through third-party API conversion projects like: https://github.com/jtsang4/claude-to-chatgpt
+    1. The full implementation of the Claude API is not provided in the current code.
+    1. You can use the Claude API through third-party API conversion projects
+       like: https://github.com/jtsang4/claude-to-chatgpt
 
-1.  Is Llama2 supported？
+1. Is Llama2 supported？
 
-    1.  On the day Llama2 was released, some of the community members began experiments and found that output can be generated based on MetaGPT's structure. However, Llama2's context is too short to generate a complete project. Before regularly using Llama2, it's necessary to expand the context window to at least 8k. If anyone has good recommendations for expansion models or methods, please leave a comment.
+    1. On the day Llama2 was released, some of the community members began experiments and found that output can be
+       generated based on MetaGPT's structure. However, Llama2's context is too short to generate a complete project.
+       Before regularly using Llama2, it's necessary to expand the context window to at least 8k. If anyone has good
+       recommendations for expansion models or methods, please leave a comment.
 
-1.  `mermaid-cli getElementsByTagName SyntaxError: Unexpected token '.'`
+1. `mermaid-cli getElementsByTagName SyntaxError: Unexpected token '.'`
 
-    1.  Upgrade node to version 14.x or above:
+    1. Upgrade node to version 14.x or above:
 
-        1.  `npm install -g n`
-        1.  `n stable` to install the stable version of node（v18.x）
+        1. `npm install -g n`
+        1. `n stable` to install the stable version of node（v18.x）

docs/README_CN.md

@@ -27,7 +27,7 @@ # MetaGPT: 多智能体框架
 
 1. MetaGPT输入**一句话的老板需求**，输出**用户故事 / 竞品分析 / 需求 / 数据结构 / APIs / 文件等**
 2. MetaGPT内部包括**产品经理 / 架构师 / 项目经理 / 工程师**，它提供了一个**软件公司**的全过程与精心调配的SOP
-   1. `Code = SOP(Team)` 是核心哲学。我们将SOP具象化，并且用于LLM构成的团队
+    1. `Code = SOP(Team)` 是核心哲学。我们将SOP具象化，并且用于LLM构成的团队
 
 ![一个完全由大语言模型角色构成的软件公司](resources/software_company_cd.jpeg)
 
@@ -37,7 +37,6 @@ ## 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
@@ -81,7 +80,9 @@ # 第 3 步：克隆仓库到您的本地机器，并进行安装。
     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。
+- 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。
 
 ### Docker安装
 
@@ -136,10 +137,10 @@ # 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                                             |
-| ----------------------------------- | ----------------------------------------- | ----------------------------------------------- |
+| 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" |
+| 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
 
@@ -150,9 +151,12 @@ # 开启code review模式会花费更多的金钱, 但是会提升代码质量
 ```
 
 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"
 ```
@@ -205,7 +209,8 @@ ### 代码实现
 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。  
+
+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)
 
@@ -218,7 +223,8 @@ ## 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！
 
 - **邮箱：** alexanderwu@fuzhi.ai
-- **GitHub 问题：** 对于更技术性的问题，您也可以在我们的 [GitHub 仓库](https://github.com/geekan/metagpt/issues) 中创建一个新的问题。
+- **GitHub 问题：** 对于更技术性的问题，您也可以在我们的 [GitHub 仓库](https://github.com/geekan/metagpt/issues)
+  中创建一个新的问题。
 
 我们会在2-3个工作日内回复所有问题。
 

docs/README_JA.md

@@ -26,8 +26,9 @@ # MetaGPT: マルチエージェントフレームワーク
 </p>
 
 1. MetaGPT は、**1 行の要件** を入力とし、**ユーザーストーリー / 競合分析 / 要件 / データ構造 / API / 文書など** を出力します。
-2. MetaGPT には、**プロダクト マネージャー、アーキテクト、プロジェクト マネージャー、エンジニア** が含まれています。MetaGPT は、**ソフトウェア会社のプロセス全体を、慎重に調整された SOP とともに提供します。**
-   1. `Code = SOP(Team)` が基本理念です。私たちは SOP を具体化し、LLM で構成されるチームに適用します。
+2. MetaGPT には、**プロダクト マネージャー、アーキテクト、プロジェクト マネージャー、エンジニア** が含まれています。MetaGPT
+   は、**ソフトウェア会社のプロセス全体を、慎重に調整された SOP とともに提供します。**
+    1. `Code = SOP(Team)` が基本理念です。私たちは SOP を具体化し、LLM で構成されるチームに適用します。
 
 ![ソフトウェア会社は LLM ベースの役割で構成されている](resources/software_company_cd.jpeg)
 
@@ -37,7 +38,6 @@ ## MetaGPTの能力
 
 https://github.com/geekan/MetaGPT/assets/34952977/34345016-5d13-489d-b9f9-b82ace413419
 
-
 ## 例（GPT-4 で完全生成）
 
 例えば、`python startup.py "Toutiao のような RecSys をデザインする"`と入力すると、多くの出力が得られます
@@ -70,10 +70,12 @@ # ステップ 3: リポジトリをローカルマシンにクローンし、
 
 **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。
+- 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、
+- 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
@@ -86,7 +88,9 @@ # ステップ 3: リポジトリをローカルマシンにクローンし、
   MMDC: "./node_modules/.bin/mmdc"
   ```
 
-- もし `pip install -e.` がエラー `[Errno 13] Permission denied: '/usr/local/lib/python3.11/dist-packages/test-easy-install-13129.write-test'` で失敗したら、代わりに `pip install -e. --user` を実行してみてください
+- もし `pip install -e.`
+  がエラー `[Errno 13] Permission denied: '/usr/local/lib/python3.11/dist-packages/test-easy-install-13129.write-test'`
+  で失敗したら、代わりに `pip install -e. --user` を実行してみてください
 
 ### Docker によるインストール
 
@@ -141,10 +145,10 @@ # 設定ファイルをコピーし、必要な修正を加える。
 cp config/config.yaml config/key.yaml
 ```
 
-| 変数名                                  | config/key.yaml                           | env                                             |
-| --------------------------------------- | ----------------------------------------- | ----------------------------------------------- |
+| 変数名                          | config/key.yaml                           | env                                             |
+|------------------------------|-------------------------------------------|-------------------------------------------------|
 | OPENAI_API_KEY # 自分のキーに置き換える | OPENAI_API_KEY: "sk-..."                  | export OPENAI_API_KEY="sk-..."                  |
-| OPENAI_API_BASE # オプション            | OPENAI_API_BASE: "https://<YOUR_SITE>/v1" | export OPENAI_API_BASE="https://<YOUR_SITE>/v1" |
+| OPENAI_API_BASE # オプション      | OPENAI_API_BASE: "https://<YOUR_SITE>/v1" | export OPENAI_API_BASE="https://<YOUR_SITE>/v1" |
 
 ## チュートリアル: スタートアップの開始
 
@@ -221,6 +225,7 @@ ## クイックスタート
 - [MetaGPT クイックスタート](https://deepwisdom.feishu.cn/wiki/CyY9wdJc4iNqArku3Lncl4v8n2b)
 
 Hugging Face Space で試す
+
 - https://huggingface.co/spaces/deepwisdom/MetaGPT
 
 ## 引用
@@ -243,7 +248,8 @@ ## お問い合わせ先
 このプロジェクトに関するご質問やご意見がございましたら、お気軽にお問い合わせください。皆様のご意見をお待ちしております！
 
 - **Email:** alexanderwu@fuzhi.ai
-- **GitHub Issues:** 技術的なお問い合わせについては、[GitHub リポジトリ](https://github.com/geekan/metagpt/issues) に新しい issue を作成することもできます。
+- **GitHub Issues:** 技術的なお問い合わせについては、[GitHub リポジトリ](https://github.com/geekan/metagpt/issues) に新しい
+  issue を作成することもできます。
 
 ご質問には 2-3 営業日以内に回答いたします。
 

docs/ROADMAP.md

@@ -1,4 +1,3 @@
-
 ## Roadmap
 
 ### Long-term Objective
@@ -16,67 +15,69 @@ ### Tasks
 To reach version v0.5, approximately 70% of the following tasks need to be completed.
 
 1. Usability
-   1. Release v0.01 pip package to try to solve issues like npm installation (though not necessarily successfully)
-   2. Support for overall save and recovery of software companies
-   3. Support human confirmation and modification during the process
-   4. Support process caching: Consider carefully whether to add server caching mechanism
-   5. Resolve occasional failure to follow instruction under current prompts, causing code parsing errors, through stricter system prompts
-   6. Write documentation, describing the current features and usage at all levels
-   7. ~~Support Docker~~
+    1. Release v0.01 pip package to try to solve issues like npm installation (though not necessarily successfully)
+    2. Support for overall save and recovery of software companies
+    3. Support human confirmation and modification during the process
+    4. Support process caching: Consider carefully whether to add server caching mechanism
+    5. Resolve occasional failure to follow instruction under current prompts, causing code parsing errors, through
+       stricter system prompts
+    6. Write documentation, describing the current features and usage at all levels
+    7. ~~Support Docker~~
 2. Features
-   1. Support a more standard and stable parser (need to analyze the format that the current LLM is better at)
-   2. ~~Establish a separate output queue, differentiated from the message queue~~
-   3. Attempt to atomize all role work, but this may significantly increase token overhead
-   4. Complete the design and implementation of module breakdown
-   5. Support various modes of memory: clearly distinguish between long-term and short-term memory
-   6. Perfect the test role, and carry out necessary interactions with humans
-   7. Provide full mode instead of the current fast mode, allowing natural communication between roles
-   8. Implement SkillManager and the process of incremental Skill learning
-   9. Automatically get RPM and configure it by calling the corresponding openai page, so that each key does not need to be manually configured
+    1. Support a more standard and stable parser (need to analyze the format that the current LLM is better at)
+    2. ~~Establish a separate output queue, differentiated from the message queue~~
+    3. Attempt to atomize all role work, but this may significantly increase token overhead
+    4. Complete the design and implementation of module breakdown
+    5. Support various modes of memory: clearly distinguish between long-term and short-term memory
+    6. Perfect the test role, and carry out necessary interactions with humans
+    7. Provide full mode instead of the current fast mode, allowing natural communication between roles
+    8. Implement SkillManager and the process of incremental Skill learning
+    9. Automatically get RPM and configure it by calling the corresponding openai page, so that each key does not need
+       to be manually configured
 3. Strategies
-   1. Support ReAct strategy
-   2. Support CoT strategy
-   3. Support ToT strategy
-   4. Support Reflection strategy
+    1. Support ReAct strategy
+    2. Support CoT strategy
+    3. Support ToT strategy
+    4. Support Reflection strategy
 4. Actions
-   1. Implementation: Search
-   2. Implementation: Knowledge search, supporting 10+ data formats
-   3. Implementation: Data EDA
-   4. Implementation: Review
-   5. Implementation: Add Document
-   6. Implementation: Delete Document
-   7. Implementation: Self-training
-   8. Implementation: DebugError
-   9. Implementation: Generate reliable unit tests based on YAPI
-   10. Implementation: Self-evaluation
-   11. Implementation: AI Invocation
-   12. Implementation: Learning and using third-party standard libraries
-   13. Implementation: Data collection
-   14. Implementation: AI training
-   15. Implementation: Run code
-   16. Implementation: Web access
+    1. Implementation: Search
+    2. Implementation: Knowledge search, supporting 10+ data formats
+    3. Implementation: Data EDA
+    4. Implementation: Review
+    5. Implementation: Add Document
+    6. Implementation: Delete Document
+    7. Implementation: Self-training
+    8. Implementation: DebugError
+    9. Implementation: Generate reliable unit tests based on YAPI
+    10. Implementation: Self-evaluation
+    11. Implementation: AI Invocation
+    12. Implementation: Learning and using third-party standard libraries
+    13. Implementation: Data collection
+    14. Implementation: AI training
+    15. Implementation: Run code
+    16. Implementation: Web access
 5. Plugins: Compatibility with plugin system
 6. Tools
-   1. ~~Support SERPER api~~
-   2. ~~Support Selenium apis~~
-   3. ~~Support Playwright apis~~
+    1. ~~Support SERPER api~~
+    2. ~~Support Selenium apis~~
+    3. ~~Support Playwright apis~~
 7. Roles
-   1. Perfect the action pool/skill pool for each role
-   2. Red Book blogger
-   3. E-commerce seller
-   4. Data analyst
-   5. News observer
-   6. Institutional researcher
+    1. Perfect the action pool/skill pool for each role
+    2. Red Book blogger
+    3. E-commerce seller
+    4. Data analyst
+    5. News observer
+    6. Institutional researcher
 8. Evaluation
-   1. Support an evaluation on a game dataset
-   2. Reproduce papers, implement full skill acquisition for a single game role, achieving SOTA results
-   3. Support an evaluation on a math dataset
-   4. Reproduce papers, achieving SOTA results for current mathematical problem solving process
+    1. Support an evaluation on a game dataset
+    2. Reproduce papers, implement full skill acquisition for a single game role, achieving SOTA results
+    3. Support an evaluation on a math dataset
+    4. Reproduce papers, achieving SOTA results for current mathematical problem solving process
 9. LLM
-   1. Support Claude underlying API
-   2. ~~Support Azure asynchronous API~~
-   3. Support streaming version of all APIs
-   4. ~~Make gpt-3.5-turbo available (HARD)~~
+    1. Support Claude underlying API
+    2. ~~Support Azure asynchronous API~~
+    3. Support streaming version of all APIs
+    4. ~~Make gpt-3.5-turbo available (HARD)~~
 10. Other
     1. Clean up existing unused code
     2. Unify all code styles and establish contribution standards