修正

.devcontainer/README.md

@@ -1,53 +1,39 @@
 # Dev container
 
-This project includes a [dev container](https://containers.dev/), which lets you use a container as a full-featured dev
-environment.
+This project includes a [dev container](https://containers.dev/), which lets you use a container as a full-featured dev environment.
 
-You can use the dev container configuration in this folder to build and start running MetaGPT locally! For more, refer
-to the main README under the home directory.
-You can use it in [GitHub Codespaces](https://github.com/features/codespaces) or
-the [VS Code Dev Containers extension](https://marketplace.visualstudio.com/items?itemName=ms-vscode-remote.remote-containers).
+You can use the dev container configuration in this folder to build and start running MetaGPT locally! For more, refer to the main README under the home directory. 
+You can use it in [GitHub Codespaces](https://github.com/features/codespaces) or the [VS Code Dev Containers extension](https://marketplace.visualstudio.com/items?itemName=ms-vscode-remote.remote-containers).
 
 ## GitHub Codespaces
-
 <a href="https://codespaces.new/geekan/MetaGPT"><img src="https://github.com/codespaces/badge.svg" alt="Open in GitHub Codespaces"></a>
 
 You may use the button above to open this repo in a Codespace
 
-For more info, check out
-the [GitHub documentation](https://docs.github.com/en/free-pro-team@latest/github/developing-online-with-codespaces/creating-a-codespace#creating-a-codespace).
-
+For more info, check out the [GitHub documentation](https://docs.github.com/en/free-pro-team@latest/github/developing-online-with-codespaces/creating-a-codespace#creating-a-codespace).
+  
 ## VS Code Dev Containers
-
 <a href="https://vscode.dev/redirect?url=vscode://ms-vscode-remote.remote-containers/cloneInVolume?url=https://github.com/geekan/MetaGPT"><img src="https://img.shields.io/static/v1?label=Dev%20Containers&message=Open&color=blue&logo=visualstudiocode" alt="Open in Dev Containers"></a>
 
-Note: If you click this link you will open the main repo and not your local cloned repo, you can use this link and
-replace with your username and cloned repo name:
+Note: If you click this link you will open the main repo and not your local cloned repo, you can use this link and replace with your username and cloned repo name: 
 https://vscode.dev/redirect?url=vscode://ms-vscode-remote.remote-containers/cloneInVolume?url=https://github.com/geekan/MetaGPT
 
-If you already have VS Code and Docker installed, you can use the button above to get started. This will cause VS Code
-to automatically install the Dev Containers extension if needed, clone the source code into a container volume, and spin
-up a dev container for use.
+
+If you already have VS Code and Docker installed, you can use the button above to get started. This will cause VS Code to automatically install the Dev Containers extension if needed, clone the source code into a container volume, and spin up a dev container for use.
 
 You can also follow these steps to open this repo in a container using the VS Code Dev Containers extension:
 
-1. If this is your first time using a development container, please ensure your system meets the pre-reqs (i.e. have
-   Docker installed) in the [getting started steps](https://aka.ms/vscode-remote/containers/getting-started).
+1. If this is your first time using a development container, please ensure your system meets the pre-reqs (i.e. have Docker installed) in the [getting started steps](https://aka.ms/vscode-remote/containers/getting-started).
 
 2. Open a locally cloned copy of the code:
 
-    - Fork and Clone this repository to your local filesystem.
-    - Press <kbd>F1</kbd> and select the **Dev Containers: Open Folder in Container...** command.
-    - Select the cloned copy of this folder, wait for the container to start, and try things out!
+   - Fork and Clone this repository to your local filesystem.
+   - Press <kbd>F1</kbd> and select the **Dev Containers: Open Folder in Container...** command.
+   - Select the cloned copy of this folder, wait for the container to start, and try things out!
 
 You can learn more in the [Dev Containers documentation](https://code.visualstudio.com/docs/devcontainers/containers).
 
 ## Tips and tricks
 
-* If you are working with the same repository folder in a container and Windows, you'll want consistent line endings (
-  otherwise you may see hundreds of changes in the SCM view). The `.gitattributes` file in the root of this repo will
-  disable line ending conversion and should prevent this.
-  See [tips and tricks](https://code.visualstudio.com/docs/devcontainers/tips-and-tricks#_resolving-git-line-ending-issues-in-containers-resulting-in-many-modified-files)
-  for more info.
-* If you'd like to review the contents of the image used in this dev container, you can check it out in
-  the [devcontainers/images](https://github.com/devcontainers/images/tree/main/src/python) repo.
+* If you are working with the same repository folder in a container and Windows, you'll want consistent line endings (otherwise you may see hundreds of changes in the SCM view). The `.gitattributes` file in the root of this repo will disable line ending conversion and should prevent this. See [tips and tricks](https://code.visualstudio.com/docs/devcontainers/tips-and-tricks#_resolving-git-line-ending-issues-in-containers-resulting-in-many-modified-files) for more info.
+* If you'd like to review the contents of the image used in this dev container, you can check it out in the [devcontainers/images](https://github.com/devcontainers/images/tree/main/src/python) repo.

.devcontainer/devcontainer.json

@@ -1,25 +1,27 @@
 // For format details, see https://aka.ms/devcontainer.json. For config options, see the
 // README at: https://github.com/devcontainers/templates/tree/main/src/python
 {
-  "name": "Python 3",
-  // Or use a Dockerfile or Docker Compose file. More info: https://containers.dev/guide/dockerfile
-  "image": "mcr.microsoft.com/devcontainers/python:0-3.11",
-  // Features to add to the dev container. More info: https://containers.dev/features.
-  // "features": {},
+	"name": "Python 3",
+	// Or use a Dockerfile or Docker Compose file. More info: https://containers.dev/guide/dockerfile
+	"image": "mcr.microsoft.com/devcontainers/python:0-3.11",
 
-  // Configure tool-specific properties.
-  "customizations": {
-    // Configure properties specific to VS Code.
-    "vscode": {
-      "settings": {},
-      "extensions": [
-        "streetsidesoftware.code-spell-checker"
-      ]
-    }
-  },
-  // Use 'postCreateCommand' to run commands after the container is created.
-  "postCreateCommand": "./.devcontainer/postCreateCommand.sh"
+	// Features to add to the dev container. More info: https://containers.dev/features.
+	// "features": {},
 
-  // Uncomment to connect as root instead. More info: https://aka.ms/dev-containers-non-root.
-  // "remoteUser": "root"
+	// Configure tool-specific properties.
+	"customizations": {
+		// Configure properties specific to VS Code.
+		"vscode": {
+			"settings": {},
+			"extensions": [
+				"streetsidesoftware.code-spell-checker"
+			]
+		}
+	},
+	
+	// Use 'postCreateCommand' to run commands after the container is created.
+	"postCreateCommand": "./.devcontainer/postCreateCommand.sh"
+
+	// Uncomment to connect as root instead. More info: https://aka.ms/dev-containers-non-root.
+	// "remoteUser": "root"
 }

.devcontainer/docker-compose.yaml

@@ -5,10 +5,10 @@ services:
       dockerfile: Dockerfile
       context: ..
     volumes:
-      # Update this to wherever you want VS Code to mount the folder of your project
+   # Update this to wherever you want VS Code to mount the folder of your project
       - ..:/workspaces:cached
     networks:
-      - metagpt-network
+      - metagpt-network 
   #   environment:
   #     MONGO_ROOT_USERNAME: root
   #     MONGO_ROOT_PASSWORD: example123

.pre-commit-config.yaml

@@ -8,11 +8,11 @@ repos:
     rev: 5.11.5
     hooks:
       - id: isort
-        args: [ '--profile', 'black' ]
+        args: ['--profile', 'black']
         exclude: >-
-          (?x)^(
-          .*__init__\.py$
-          )
+            (?x)^(
+            .*__init__\.py$
+            )
 
   - repo: https://github.com/astral-sh/ruff-pre-commit
     # Ruff version.
@@ -24,4 +24,4 @@ repos:
     rev: 23.3.0
     hooks:
       - id: black
-        args: [ '--line-length', '120' ]
+        args: ['--line-length', '120']

README.md

@@ -25,11 +25,9 @@ # MetaGPT: The Multi-Agent Framework
    <a href="https://huggingface.co/spaces/deepwisdom/MetaGPT" target="_blank"><img alt="Hugging Face" src="https://img.shields.io/badge/%F0%9F%A4%97%20-Hugging%20Face-blue?color=blue&logoColor=white" /></a>
 </p>
 
-1. MetaGPT takes a **one line requirement** as input and outputs **user stories / competitive analysis / requirements /
-   data structures / APIs / documents, etc.**
-2. Internally, MetaGPT includes **product managers / architects / project managers / engineers.** It provides the entire
-   process of a **software company along with carefully orchestrated SOPs.**
-    1. `Code = SOP(Team)` is the core philosophy. We materialize SOP and apply it to teams composed of LLMs.
+1. MetaGPT takes a **one line requirement** as input and outputs **user stories / competitive analysis / requirements / data structures / APIs / documents, etc.**
+2. Internally, MetaGPT includes **product managers / architects / project managers / engineers.** It provides the entire process of a **software company along with carefully orchestrated SOPs.**
+   1. `Code = SOP(Team)` is the core philosophy. We materialize SOP and apply it to teams composed of LLMs.
 
 ![A software company consists of LLM-based roles](docs/resources/software_company_cd.jpeg)
 
@@ -37,17 +35,21 @@ # MetaGPT: The Multi-Agent Framework
 
 ## MetaGPT's Abilities
 
+
 https://github.com/geekan/MetaGPT/assets/34952977/34345016-5d13-489d-b9f9-b82ace413419
 
+
+
 ## 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
+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
 
 ![Jinri Toutiao Recsys Data & API Design](docs/resources/workspace/content_rec_sys/resources/data_api_design.png)
 
-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.
+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
 
@@ -73,12 +75,10 @@ # Step 3: Clone the repository to your local machine, and install it.
 
 **Note:**
 
-- If already have Chrome, Chromium, or MS Edge installed, you can skip downloading Chromium by setting the environment
-  variable
+- 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,
+- 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
@@ -91,75 +91,72 @@ # Step 3: Clone the repository to your local machine, and install it.
   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`
+- 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.
+- 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**
+  - Playwright
+    - **Install Playwright**
 
-      ```bash
-      pip install playwright
-      ```
+    ```bash
+    pip install playwright
+    ```
 
-        - **Install the Required Browsers**
+    - **Install the Required Browsers**
 
-      to support PDF conversion, please install Chrominum.
+    to support PDF conversion, please install Chrominum.
 
-      ```bash
-      playwright install --with-deps chromium
-      ```
+    ```bash
+    playwright install --with-deps chromium
+    ```
 
-        - **modify `config.yaml`**
+    - **modify `config.yaml`**
 
-      uncomment MERMAID_ENGINE from config.yaml and change it to `playwright`
+    uncomment MERMAID_ENGINE from config.yaml and change it to `playwright`
 
-      ```yaml
-      MERMAID_ENGINE: playwright
-      ```
+    ```yaml
+    MERMAID_ENGINE: playwright
+    ```
 
-    - pyppeteer
-        - **Install pyppeteer**
+  - pyppeteer
+    - **Install pyppeteer**
 
-      ```bash
-      pip install pyppeteer
-      ```
+    ```bash
+    pip install pyppeteer
+    ```
 
-        - **Use your own Browsers**
+    - **Use your own Browsers**
 
-      pyppeteer alow you use installed browsers, please set the following envirment
+    pyppeteer alow you use installed browsers,  please set the following envirment
+    
+    ```bash
+    export PUPPETEER_EXECUTABLE_PATH = /path/to/your/chromium or edge or chrome
+    ```
 
-      ```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
 
-      please do not use this command to install browser, it is too old
+    ```bash
+    pyppeteer-install
+    ```
 
-      ```bash
-      pyppeteer-install
-      ```
+    - **modify `config.yaml`**
 
-        - **modify `config.yaml`**
+    uncomment MERMAID_ENGINE from config.yaml and change it to `pyppeteer`
 
-      uncomment MERMAID_ENGINE from config.yaml and change it to `pyppeteer`
+    ```yaml
+    MERMAID_ENGINE: pyppeteer
+    ```
 
-      ```yaml
-      MERMAID_ENGINE: pyppeteer
-      ```
+  - mermaid.ink
+    - **modify `config.yaml`**
 
-    - mermaid.ink
-        - **modify `config.yaml`**
+    uncomment MERMAID_ENGINE from config.yaml and change it to `ink`
 
-      uncomment MERMAID_ENGINE from config.yaml and change it to `ink`
+    ```yaml
+    MERMAID_ENGINE: ink
+    ```  
 
-      ```yaml
-      MERMAID_ENGINE: ink
-      ```  
-
-      Note: this method does not support pdf export.
+    Note: this method does not support pdf export.
 
 ### Installation by Docker
 
@@ -215,7 +212,7 @@ # Copy the configuration file and make the necessary modifications.
 ```
 
 | 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" |
 
@@ -289,13 +286,11 @@ ### Code walkthrough
 
 ## 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.
+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
 
 ## Citation
@@ -315,12 +310,10 @@ ## Citation
 
 ## Contact Information
 
-If you have any questions or feedback about this project, please feel free to contact us. We highly appreciate your
-suggestions!
+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).
+- **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.
 

config/config.yaml

@@ -15,19 +15,6 @@ RPM: 10
 #### if Anthropic
 #Anthropic_API_KEY: "YOUR_API_KEY"
 
-#### if Xinghuo
-#XINGHUO_APPID : "YOUR_APPID"
-#XINGHUO_API_SECRET : "YOUR_APISecret"
-#XINGHUO_API_KEY : "YOUR_APIKey"
-#DOMAIN : "generalv2"
-#SPARK_URL : "ws://spark-api.xf-yun.com/v2.1/chat"
-
-XINGHUO_APPID: "ae5e30f4"
-XINGHUO_API_SECRET: "MDhlOWE2NmFhOWMxZWRkOTdlYjY2Njk1"
-XINGHUO_API_KEY: "97b635fe5927d34a857333e11d15f29f"
-DOMAIN: "generalv2"
-SPARK_URL: "ws://spark-api.xf-yun.com/v2.1/chat"
-
 #### if AZURE, check https://github.com/openai/openai-cookbook/blob/main/examples/azure/chat.ipynb
 #### You can use ENGINE or DEPLOYMENT mode
 #OPENAI_API_TYPE: "azure"

config/puppeteer-config.json

@@ -1,6 +1,6 @@
 {
-  "executablePath": "/usr/bin/chromium",
-  "args": [
-    "--no-sandbox"
-  ]
+    "executablePath": "/usr/bin/chromium",
+    "args": [
+        "--no-sandbox"
+    ]
 }

docs/FAQ-EN.md

@@ -1,5 +1,4 @@
-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:
 
@@ -11,36 +10,30 @@
 
 <!---->
 
-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. 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.  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)
+  
 <!---->
 
 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
 
 <!---->
 
@@ -48,13 +41,11 @@
 
 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.
 
 <!---->
 
@@ -62,165 +53,131 @@
 
 <!---->
 
-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)
 
@@ -37,6 +37,7 @@ ## 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
@@ -80,9 +81,7 @@ # 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
 
@@ -137,10 +136,10 @@ # 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
 
@@ -151,12 +150,9 @@ # 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"
 ```
@@ -209,8 +205,7 @@ ### 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)
 
@@ -223,8 +218,7 @@ ## 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

@@ -26,9 +26,8 @@ # 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)
 
@@ -38,6 +37,7 @@ ## 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
@@ -70,12 +70,10 @@ # 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
@@ -88,9 +86,7 @@ # 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
 
@@ -145,10 +141,10 @@ # 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
 
@@ -225,7 +221,6 @@ ## 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
@@ -248,8 +243,7 @@ ## 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

@@ -1,3 +1,4 @@
+
 ## Roadmap
 
 ### Long-term Objective
@@ -15,69 +16,67 @@ ### 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

examples/agent_creator.py

@@ -5,18 +5,18 @@ Author: garylin2099
 '''
 import re
 
-from metagpt.actions import Action
 from metagpt.const import PROJECT_ROOT, WORKSPACE_ROOT
-from metagpt.logs import logger
+from metagpt.actions import Action
 from metagpt.roles import Role
 from metagpt.schema import Message
+from metagpt.logs import logger
 
 with open(PROJECT_ROOT / "examples/build_customized_agent.py", "r") as f:
     # use official example script to guide AgentCreator
     MULTI_ACTION_AGENT_CODE_EXAMPLE = f.read()
 
-
 class CreateAgent(Action):
+
     PROMPT_TEMPLATE = """
     ### BACKGROUND
     You are using an agent framework called metagpt to write agents capable of different actions,
@@ -34,6 +34,7 @@ class CreateAgent(Action):
     """
 
     async def run(self, example: str, instruction: str):
+
         prompt = self.PROMPT_TEMPLATE.format(example=example, instruction=instruction)
         # logger.info(prompt)
 
@@ -52,14 +53,13 @@ class CreateAgent(Action):
             f.write(code_text)
         return code_text
 
-
 class AgentCreator(Role):
     def __init__(
-            self,
-            name: str = "Matrix",
-            profile: str = "AgentCreator",
-            agent_template: str = MULTI_ACTION_AGENT_CODE_EXAMPLE,
-            **kwargs,
+        self,
+        name: str = "Matrix",
+        profile: str = "AgentCreator",
+        agent_template: str = MULTI_ACTION_AGENT_CODE_EXAMPLE,
+        **kwargs,
     ):
         super().__init__(name, profile, **kwargs)
         self._init_actions([CreateAgent])
@@ -76,12 +76,11 @@ class AgentCreator(Role):
 
         return msg
 
-
 if __name__ == "__main__":
     import asyncio
 
-
     async def main():
+
         agent_template = MULTI_ACTION_AGENT_CODE_EXAMPLE
 
         creator = AgentCreator(agent_template=agent_template)
@@ -98,5 +97,4 @@ if __name__ == "__main__":
         """
         await creator.run(msg)
 
-
     asyncio.run(main())

examples/build_customized_agent.py

@@ -3,19 +3,19 @@ Filename: MetaGPT/examples/build_customized_agent.py
 Created Date: Tuesday, September 19th 2023, 6:52:25 pm
 Author: garylin2099
 '''
-import asyncio
 import re
 import subprocess
+import asyncio
 
 import fire
 
 from metagpt.actions import Action
-from metagpt.logs import logger
 from metagpt.roles import Role
 from metagpt.schema import Message
-
+from metagpt.logs import logger
 
 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,
@@ -35,6 +35,7 @@ class SimpleWriteCode(Action):
         super().__init__(name, context, llm)
 
     async def run(self, instruction: str):
+
         prompt = self.PROMPT_TEMPLATE.format(instruction=instruction)
 
         rsp = await self._aask(prompt)
@@ -50,7 +51,6 @@ 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):
         super().__init__(name, context, llm)
@@ -61,13 +61,12 @@ class SimpleRunCode(Action):
         logger.info(f"{code_result=}")
         return code_result
 
-
 class SimpleCoder(Role):
     def __init__(
-            self,
-            name: str = "Alice",
-            profile: str = "SimpleCoder",
-            **kwargs,
+        self,
+        name: str = "Alice",
+        profile: str = "SimpleCoder",
+        **kwargs,
     ):
         super().__init__(name, profile, **kwargs)
         self._init_actions([SimpleWriteCode])
@@ -76,7 +75,7 @@ class SimpleCoder(Role):
         logger.info(f"{self._setting}: ready to {self._rc.todo}")
         todo = self._rc.todo
 
-        msg = self._rc.memory.get()[-1]  # retrieve the latest memory
+        msg = self._rc.memory.get()[-1] # retrieve the latest memory
         instruction = msg.content
 
         code_text = await SimpleWriteCode().run(instruction)
@@ -84,13 +83,12 @@ class SimpleCoder(Role):
 
         return msg
 
-
 class RunnableCoder(Role):
     def __init__(
-            self,
-            name: str = "Alice",
-            profile: str = "RunnableCoder",
-            **kwargs,
+        self,
+        name: str = "Alice",
+        profile: str = "RunnableCoder",
+        **kwargs,
     ):
         super().__init__(name, profile, **kwargs)
         self._init_actions([SimpleWriteCode, SimpleRunCode])
@@ -130,7 +128,6 @@ class RunnableCoder(Role):
             await self._act()
         return Message(content="All job done", role=self.profile)
 
-
 def main(msg="write a function that calculates the sum of a list"):
     # role = SimpleCoder()
     role = RunnableCoder()
@@ -138,6 +135,5 @@ def main(msg="write a function that calculates the sum of a list"):
     result = asyncio.run(role.run(msg))
     logger.info(result)
 
-
 if __name__ == '__main__':
     fire.Fire(main)

examples/debate.py

@@ -5,15 +5,13 @@ Author: garylin2099
 '''
 import asyncio
 import platform
-
 import fire
 
+from metagpt.software_company import SoftwareCompany
 from metagpt.actions import Action, BossRequirement
-from metagpt.logs import logger
 from metagpt.roles import Role
 from metagpt.schema import Message
-from metagpt.software_company import SoftwareCompany
-
+from metagpt.logs import logger
 
 class ShoutOut(Action):
     """Action: Shout out loudly in a debate (quarrel)"""
@@ -33,6 +31,7 @@ class ShoutOut(Action):
         super().__init__(name, context, llm)
 
     async def run(self, context: str, name: str, opponent_name: str):
+
         prompt = self.PROMPT_TEMPLATE.format(context=context, name=name, opponent_name=opponent_name)
         # logger.info(prompt)
 
@@ -40,13 +39,12 @@ class ShoutOut(Action):
 
         return rsp
 
-
 class Trump(Role):
     def __init__(
-            self,
-            name: str = "Trump",
-            profile: str = "Republican",
-            **kwargs,
+        self,
+        name: str = "Trump",
+        profile: str = "Republican",
+        **kwargs,
     ):
         super().__init__(name, profile, **kwargs)
         self._init_actions([ShoutOut])
@@ -57,7 +55,7 @@ class Trump(Role):
     async def _observe(self) -> int:
         await super()._observe()
         # accept messages sent (from opponent) to self, disregard own messages from the last round
-        self._rc.news = [msg for msg in self._rc.news if msg.send_to == self.name]
+        self._rc.news = [msg for msg in self._rc.news if msg.send_to == self.name]  
         return len(self._rc.news)
 
     async def _act(self) -> Message:
@@ -81,13 +79,12 @@ class Trump(Role):
 
         return msg
 
-
 class Biden(Role):
     def __init__(
-            self,
-            name: str = "Biden",
-            profile: str = "Democrat",
-            **kwargs,
+        self,
+        name: str = "Biden",
+        profile: str = "Democrat",
+        **kwargs,
     ):
         super().__init__(name, profile, **kwargs)
         self._init_actions([ShoutOut])
@@ -123,7 +120,6 @@ class Biden(Role):
 
         return msg
 
-
 async def startup(idea: str, investment: float = 3.0, n_round: int = 5,
                   code_review: bool = False, run_tests: bool = False):
     """We reuse the startup paradigm for roles to interact with each other.

examples/search_with_specific_engine.py

@@ -6,12 +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?","What are some of the best beaches?"])
+    #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?")
+    #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?")
 
-
 if __name__ == '__main__':
     asyncio.run(main())

examples/sk_agent.py

@@ -9,6 +9,7 @@ import asyncio
 
 from semantic_kernel.core_skills import FileIOSkill, MathSkill, TextSkill, TimeSkill
 from semantic_kernel.planning import SequentialPlanner
+
 # from semantic_kernel.planning import SequentialPlanner
 from semantic_kernel.planning.action_planner.action_planner import ActionPlanner
 

examples/use_off_the_shelf_agent.py

@@ -5,9 +5,8 @@ Author: garylin2099
 '''
 import asyncio
 
-from metagpt.logs import logger
 from metagpt.roles.product_manager import ProductManager
-
+from metagpt.logs import logger
 
 async def main():
     msg = "Write a PRD for a snake game"
@@ -15,6 +14,5 @@ async def main():
     result = await role.run(msg)
     logger.info(result.content[:100])
 
-
 if __name__ == '__main__':
     asyncio.run(main())

examples/write_tutorial.py

@@ -18,3 +18,4 @@ async def main():
 
 if __name__ == '__main__':
     asyncio.run(main())
+

metagpt/_compat.py

@@ -8,14 +8,12 @@ if sys.implementation.name == "cpython" and platform.system() == "Windows":
     if sys.version_info[:2] == (3, 9):
         from asyncio.proactor_events import _ProactorBasePipeTransport
 
-
         # https://github.com/python/cpython/pull/92842
         def pacth_del(self, _warn=warnings.warn):
             if self._sock is not None:
                 _warn(f"unclosed transport {self!r}", ResourceWarning, source=self)
                 self._sock.close()
 
-
         _ProactorBasePipeTransport.__del__ = pacth_del
 
     if sys.version_info >= (3, 9, 0):

metagpt/actions/action.py

@@ -51,12 +51,12 @@ class Action(ABC):
 
     @retry(stop=stop_after_attempt(3), wait=wait_fixed(1))
     async def _aask_v1(
-            self,
-            prompt: str,
-            output_class_name: str,
-            output_data_mapping: dict,
-            system_msgs: Optional[list[str]] = None,
-            format="markdown",  # compatible to original format
+        self,
+        prompt: str,
+        output_class_name: str,
+        output_data_mapping: dict,
+        system_msgs: Optional[list[str]] = None,
+        format="markdown",  # compatible to original format
     ) -> ActionOutput:
         """Append default prefix"""
         if not system_msgs:

metagpt/actions/action_output.py

@@ -40,3 +40,4 @@ class ActionOutput:
         new_class.__validator_check_name = classmethod(check_name)
         new_class.__root_validator_check_missing_fields = classmethod(check_missing_fields)
         return new_class
+    

metagpt/actions/add_requirement.py

@@ -10,6 +10,5 @@ from metagpt.actions import Action
 
 class BossRequirement(Action):
     """Boss Requirement without any implementation details"""
-
     async def run(self, *args, **kwargs):
         raise NotImplementedError

metagpt/actions/clone_function.py

@@ -1,5 +1,5 @@
-import traceback
 from pathlib import Path
+import traceback
 
 from metagpt.actions.write_code import WriteCode
 from metagpt.logs import logger

metagpt/actions/debug_error.py

@@ -7,8 +7,8 @@
 """
 import re
 
-from metagpt.actions.action import Action
 from metagpt.logs import logger
+from metagpt.actions.action import Action
 from metagpt.utils.common import CodeParser
 
 PROMPT_TEMPLATE = """
@@ -24,8 +24,6 @@ The message is as follows:
 Now you should start rewriting the code:
 ## file name of the code to rewrite: Write code with triple quoto. Do your best to implement THIS IN ONLY ONE FILE.
 """
-
-
 class DebugError(Action):
     def __init__(self, name="DebugError", context=None, llm=None):
         super().__init__(name, context, llm)
@@ -35,17 +33,17 @@ class DebugError(Action):
     #              f"\n\n{error}\n\nPlease try to fix the error in this code."
     #     fixed_code = await self._aask(prompt)
     #     return fixed_code
-
+    
     async def run(self, context):
         if "PASS" in context:
             return "", "the original code works fine, no need to debug"
-
+        
         file_name = re.search("## File To Rewrite:\s*(.+\\.py)", context).group(1)
 
         logger.info(f"Debug and rewrite {file_name}")
 
         prompt = PROMPT_TEMPLATE.format(context=context)
-
+        
         rsp = await self._aask(prompt)
 
         code = CodeParser.parse_code(block="", text=rsp)

metagpt/actions/design_api_review.py

@@ -19,3 +19,4 @@ class DesignReview(Action):
 
         api_review = await self._aask(prompt)
         return api_review
+    

metagpt/actions/design_filenames.py

@@ -26,3 +26,4 @@ class DesignFilenames(Action):
         logger.debug(prompt)
         logger.debug(design_filenames)
         return design_filenames
+    

metagpt/actions/detail_mining.py

@@ -6,6 +6,7 @@
 @File    : detail_mining.py
 """
 from metagpt.actions import Action, ActionOutput
+from metagpt.logs import logger
 
 PROMPT_TEMPLATE = """
 ##TOPIC
@@ -42,7 +43,6 @@ OUTPUT_MAPPING = {
 class DetailMining(Action):
     """This class allows LLM to further mine noteworthy details based on specific "##TOPIC"(discussion topic) and "##RECORD" (discussion records), thereby deepening the discussion.
     """
-
     def __init__(self, name="", context=None, llm=None):
         super().__init__(name, context, llm)
 

metagpt/actions/prepare_interview.py

@@ -27,7 +27,6 @@ Requirement: Provide a list of questions for the interviewer to ask the intervie
 Attention: Provide as markdown block as the format above, at least 10 questions.
 """
 
-
 # prepare for a interview
 
 
@@ -39,3 +38,4 @@ class PrepareInterview(Action):
         prompt = PROMPT_TEMPLATE.format(context=context)
         question_list = await self._aask_v1(prompt)
         return question_list
+

metagpt/actions/research.py

@@ -3,6 +3,7 @@
 from __future__ import annotations
 
 import asyncio
+import json
 from typing import Callable
 
 from pydantic import parse_obj_as
@@ -59,6 +60,7 @@ a comprehensive summary of the text.
 {content}
 '''
 
+
 CONDUCT_RESEARCH_PROMPT = '''### Reference Information
 {content}
 
@@ -76,13 +78,12 @@ above. The report must meet the following requirements:
 
 class CollectLinks(Action):
     """Action class to collect links from a search engine."""
-
     def __init__(
-            self,
-            name: str = "",
-            *args,
-            rank_func: Callable[[list[str]], None] | None = None,
-            **kwargs,
+        self,
+        name: str = "",
+        *args,
+        rank_func: Callable[[list[str]], None] | None = None,
+        **kwargs,
     ):
         super().__init__(name, *args, **kwargs)
         self.desc = "Collect links from a search engine."
@@ -90,11 +91,11 @@ class CollectLinks(Action):
         self.rank_func = rank_func
 
     async def run(
-            self,
-            topic: str,
-            decomposition_nums: int = 4,
-            url_per_query: int = 4,
-            system_text: str | None = None,
+        self,
+        topic: str,
+        decomposition_nums: int = 4,
+        url_per_query: int = 4,
+        system_text: str | None = None,
     ) -> dict[str, list[str]]:
         """Run the action to collect links.
 
@@ -119,16 +120,13 @@ class CollectLinks(Action):
 
         def gen_msg():
             while True:
-                search_results = "\n".join(
-                    f"#### Keyword: {i}\n Search Result: {j}\n" for (i, j) in zip(keywords, results))
-                prompt = SUMMARIZE_SEARCH_PROMPT.format(decomposition_nums=decomposition_nums,
-                                                        search_results=search_results)
+                search_results = "\n".join(f"#### Keyword: {i}\n Search Result: {j}\n" for (i, j) in zip(keywords, results))
+                prompt = SUMMARIZE_SEARCH_PROMPT.format(decomposition_nums=decomposition_nums, search_results=search_results)
                 yield prompt
                 remove = max(results, key=len)
                 remove.pop()
                 if len(remove) == 0:
                     break
-
         prompt = reduce_message_length(gen_msg(), self.llm.model, system_text, CONFIG.max_tokens_rsp)
         logger.debug(prompt)
         queries = await self._aask(prompt, [system_text])
@@ -174,12 +172,11 @@ class CollectLinks(Action):
 
 class WebBrowseAndSummarize(Action):
     """Action class to explore the web and provide summaries of articles and webpages."""
-
     def __init__(
-            self,
-            *args,
-            browse_func: Callable[[list[str]], None] | None = None,
-            **kwargs,
+        self,
+        *args,
+        browse_func: Callable[[list[str]], None] | None = None,
+        **kwargs,
     ):
         super().__init__(*args, **kwargs)
         if CONFIG.model_for_researcher_summary:
@@ -191,11 +188,11 @@ class WebBrowseAndSummarize(Action):
         self.desc = "Explore the web and provide summaries of articles and webpages."
 
     async def run(
-            self,
-            url: str,
-            *urls: str,
-            query: str,
-            system_text: str = RESEARCH_BASE_SYSTEM,
+        self,
+        url: str,
+        *urls: str,
+        query: str,
+        system_text: str = RESEARCH_BASE_SYSTEM,
     ) -> dict[str, str]:
         """Run the action to browse the web and provide summaries.
 
@@ -217,8 +214,7 @@ class WebBrowseAndSummarize(Action):
         for u, content in zip([url, *urls], contents):
             content = content.inner_text
             chunk_summaries = []
-            for prompt in generate_prompt_chunk(content, prompt_template, self.llm.model, system_text,
-                                                CONFIG.max_tokens_rsp):
+            for prompt in generate_prompt_chunk(content, prompt_template, self.llm.model, system_text, CONFIG.max_tokens_rsp):
                 logger.debug(prompt)
                 summary = await self._aask(prompt, [system_text])
                 if summary == "Not relevant.":
@@ -242,17 +238,16 @@ class WebBrowseAndSummarize(Action):
 
 class ConductResearch(Action):
     """Action class to conduct research and generate a research report."""
-
     def __init__(self, *args, **kwargs):
         super().__init__(*args, **kwargs)
         if CONFIG.model_for_researcher_report:
             self.llm.model = CONFIG.model_for_researcher_report
 
     async def run(
-            self,
-            topic: str,
-            content: str,
-            system_text: str = RESEARCH_BASE_SYSTEM,
+        self,
+        topic: str,
+        content: str,
+        system_text: str = RESEARCH_BASE_SYSTEM,
     ) -> str:
         """Run the action to conduct research and generate a research report.
 

metagpt/actions/run_code.py

@@ -99,7 +99,7 @@ class RunCode(Action):
         return stdout.decode("utf-8"), stderr.decode("utf-8")
 
     async def run(
-            self, code, mode="script", code_file_name="", test_code="", test_file_name="", command=[], **kwargs
+        self, code, mode="script", code_file_name="", test_code="", test_file_name="", command=[], **kwargs
     ) -> str:
         logger.info(f"Running {' '.join(command)}")
         if mode == "script":

metagpt/actions/search_and_summarize.py

@@ -54,6 +54,7 @@ SEARCH_AND_SUMMARIZE_PROMPT = """
 
 """
 
+
 SEARCH_AND_SUMMARIZE_SALES_SYSTEM = """## Requirements
 1. Please summarize the latest dialogue based on the reference information (secondary) and dialogue history (primary). Do not include text that is irrelevant to the conversation.
 - The context is for reference only. If it is irrelevant to the user's search request history, please reduce its reference and usage.
@@ -139,3 +140,4 @@ class SearchAndSummarize(Action):
         logger.debug(prompt)
         logger.debug(result)
         return result
+    

metagpt/actions/write_code.py

@@ -5,14 +5,13 @@
 @Author  : alexanderwu
 @File    : write_code.py
 """
-from tenacity import retry, stop_after_attempt, wait_fixed
-
 from metagpt.actions import WriteDesign
 from metagpt.actions.action import Action
 from metagpt.const import WORKSPACE_ROOT
 from metagpt.logs import logger
 from metagpt.schema import Message
 from metagpt.utils.common import CodeParser
+from tenacity import retry, stop_after_attempt, wait_fixed
 
 PROMPT_TEMPLATE = """
 NOTICE
@@ -80,3 +79,4 @@ class WriteCode(Action):
         # code_rsp = await self._aask_v1(prompt, "code_rsp", OUTPUT_MAPPING)
         # self._save(context, filename, code)
         return code
+    

metagpt/actions/write_code_review.py

@@ -6,12 +6,11 @@
 @File    : write_code_review.py
 """
 
-from tenacity import retry, stop_after_attempt, wait_fixed
-
 from metagpt.actions.action import Action
 from metagpt.logs import logger
 from metagpt.schema import Message
 from metagpt.utils.common import CodeParser
+from tenacity import retry, stop_after_attempt, wait_fixed
 
 PROMPT_TEMPLATE = """
 NOTICE
@@ -80,3 +79,4 @@ class WriteCodeReview(Action):
         # code_rsp = await self._aask_v1(prompt, "code_rsp", OUTPUT_MAPPING)
         # self._save(context, filename, code)
         return code
+    

metagpt/actions/write_docstring.py

@@ -162,9 +162,9 @@ class WriteDocstring(Action):
         self.desc = "Write docstring for code."
 
     async def run(
-            self, code: str,
-            system_text: str = PYTHON_DOCSTRING_SYSTEM,
-            style: Literal["google", "numpy", "sphinx"] = "google",
+        self, code: str,
+        system_text: str = PYTHON_DOCSTRING_SYSTEM,
+        style: Literal["google", "numpy", "sphinx"] = "google",
     ) -> str:
         """Writes docstrings for the given code and system text in the specified style.
 
@@ -202,7 +202,6 @@ def _simplify_python_code(code: str) -> None:
 if __name__ == "__main__":
     import fire
 
-
     async def run(filename: str, overwrite: bool = False, style: Literal["google", "numpy", "sphinx"] = "google"):
         with open(filename) as f:
             code = f.read()
@@ -212,5 +211,4 @@ if __name__ == "__main__":
                 f.write(code)
         return code
 
-
     fire.Fire(run)

metagpt/actions/write_prd_review.py

@@ -25,3 +25,4 @@ class WritePRDReview(Action):
         prompt = self.prd_review_prompt_template.format(prd=self.prd)
         review = await self._aask(prompt)
         return review
+    

metagpt/actions/write_tutorial.py

@@ -65,3 +65,4 @@ class WriteContent(Action):
         """
         prompt = CONTENT_PROMPT.format(topic=topic, language=self.language, directory=self.directory)
         return await self._aask(prompt=prompt)
+

metagpt/const.py

@@ -13,9 +13,9 @@ def get_project_root():
     current_path = Path.cwd()
     while True:
         if (
-                (current_path / ".git").exists()
-                or (current_path / ".project_root").exists()
-                or (current_path / ".gitignore").exists()
+            (current_path / ".git").exists()
+            or (current_path / ".project_root").exists()
+            or (current_path / ".gitignore").exists()
         ):
             return current_path
         parent_path = current_path.parent

metagpt/document_store/base_store.py

@@ -53,3 +53,4 @@ class LocalStore(BaseStore, ABC):
     @abstractmethod
     def _write(self, docs, metadatas):
         raise NotImplementedError
+    

metagpt/document_store/chromadb_store.py

@@ -10,7 +10,6 @@ import chromadb
 
 class ChromaStore:
     """If inherited from BaseStore, or importing other modules from metagpt, a Python exception occurs, which is strange."""
-
     def __init__(self, name):
         client = chromadb.Client()
         collection = client.create_collection(name)

metagpt/document_store/document.py

@@ -79,3 +79,4 @@ class Document:
             return self._get_docs_and_metadatas_by_langchain()
         else:
             raise NotImplementedError
+        

metagpt/document_store/qdrant_store.py

@@ -38,11 +38,11 @@ class QdrantStore(BaseStore):
             raise Exception("please check QdrantConnection.")
 
     def create_collection(
-            self,
-            collection_name: str,
-            vectors_config: VectorParams,
-            force_recreate=False,
-            **kwargs,
+        self,
+        collection_name: str,
+        vectors_config: VectorParams,
+        force_recreate=False,
+        **kwargs,
     ):
         """
         create a collection
@@ -97,12 +97,12 @@ class QdrantStore(BaseStore):
         )
 
     def search(
-            self,
-            collection_name: str,
-            query: List[float],
-            query_filter: Filter = None,
-            k=10,
-            return_vector=False,
+        self,
+        collection_name: str,
+        query: List[float],
+        query_filter: Filter = None,
+        k=10,
+        return_vector=False,
     ):
         """
         vector search

metagpt/inspect_module.py

@@ -25,4 +25,4 @@ def print_classes_and_functions(module):
 
 
 if __name__ == '__main__':
-    print_classes_and_functions(metagpt)
+    print_classes_and_functions(metagpt)

metagpt/llm.py

@@ -12,7 +12,6 @@ from metagpt.provider.openai_api import OpenAIGPTAPI as LLM
 DEFAULT_LLM = LLM()
 CLAUDE_LLM = Claude()
 
-
 async def ai_func(prompt):
     """使用LLM进行QA
        QA with LLMs

metagpt/logs.py

@@ -12,7 +12,6 @@ from loguru import logger as _logger
 
 from metagpt.const import PROJECT_ROOT
 
-
 def define_log_level(print_level="INFO", logfile_level="DEBUG"):
     """调整日志级别到level之上
        Adjust the log level to above level
@@ -22,5 +21,4 @@ def define_log_level(print_level="INFO", logfile_level="DEBUG"):
     _logger.add(PROJECT_ROOT / 'logs/log.txt', level=logfile_level)
     return _logger
 
-
 logger = define_log_level()

metagpt/manager.py

@@ -51,7 +51,7 @@ class Manager:
         # chosen_role_name = self.llm.ask(self.prompt_template.format(context))
 
         # FIXME: 现在通过简单的字典决定流向，但之后还是应该有思考过程
-        # The direction of flow is now determined by a simple dictionary, but there should still be a thought process afterwards
+        #The direction of flow is now determined by a simple dictionary, but there should still be a thought process afterwards
         next_role_profile = self.role_directions[message.role]
         # logger.debug(f"{next_role_profile}")
         for _, role in roles.items():

metagpt/memory/__init__.py

@@ -6,8 +6,9 @@
 @File    : __init__.py
 """
 
-from metagpt.memory.longterm_memory import LongTermMemory
 from metagpt.memory.memory import Memory
+from metagpt.memory.longterm_memory import LongTermMemory
+
 
 __all__ = [
     "Memory",

metagpt/memory/longterm_memory.py

@@ -68,3 +68,4 @@ class LongTermMemory(Memory):
     def clear(self):
         super(LongTermMemory, self).clear()
         self.memory_storage.clean()
+        

metagpt/memory/memory.py

@@ -85,3 +85,4 @@ class Memory:
                 continue
             rsp += self.index[action]
         return rsp
+    

metagpt/memory/memory_storage.py

@@ -2,16 +2,16 @@
 # -*- coding: utf-8 -*-
 # @Desc   : the implement of memory storage
 
-from pathlib import Path
 from typing import List
+from pathlib import Path
 
 from langchain.vectorstores.faiss import FAISS
 
 from metagpt.const import DATA_PATH, MEM_TTL
-from metagpt.document_store.faiss_store import FaissStore
 from metagpt.logs import logger
 from metagpt.schema import Message
 from metagpt.utils.serialize import serialize_message, deserialize_message
+from metagpt.document_store.faiss_store import FaissStore
 
 
 class MemoryStorage(FaissStore):
@@ -104,3 +104,4 @@ class MemoryStorage(FaissStore):
 
         self.store = None
         self._initialized = False
+        

metagpt/prompts/decompose.py

@@ -16,6 +16,7 @@ The requirements of the tree-structure plan are:
 4. The sub-goals at the bottom level should be basic actions so that I can easily execute them in the game.
 """
 
+
 DECOMPOSE_USER = """USER:
 The goal is to {goal description}. Generate the plan according to the requirements.
 """

metagpt/prompts/generate_skill.md

@@ -66,10 +66,9 @@ # PRD
         return prd
 ```
 
+
 The main class/function is WritePRD.
 
 Then you should write:
 
-This class is designed to generate a PRD based on input requirements. Notably, there's a template prompt with sections
-for product, function, goals, user scenarios, requirements, constraints, performance metrics. This template gets filled
-with input requirements and then queries a big language model to produce the detailed PRD.
+This class is designed to generate a PRD based on input requirements. Notably, there's a template prompt with sections for product, function, goals, user scenarios, requirements, constraints, performance metrics. This template gets filled with input requirements and then queries a big language model to produce the detailed PRD.

metagpt/prompts/sales.py

@@ -6,6 +6,7 @@
 @File    : sales.py
 """
 
+
 SALES_ASSISTANT = """You are a sales assistant helping your sales agent to determine which stage of a sales conversation should the agent move to, or stay at.
 Following '===' is the conversation history. 
 Use this conversation history to make your decision.
@@ -28,6 +29,7 @@ The answer needs to be one number only, no words.
 If there is no conversation history, output 1.
 Do not answer anything else nor add anything to you answer."""
 
+
 SALES = """Never forget your name is {salesperson_name}. You work as a {salesperson_role}.
 You work at company named {company_name}. {company_name}'s business is the following: {company_business}
 Company values are the following. {company_values}
@@ -52,11 +54,10 @@ Conversation history:
 {salesperson_name}: 
 """
 
-conversation_stages = {
-    '1': "Introduction: Start the conversation by introducing yourself and your company. Be polite and respectful while keeping the tone of the conversation professional. Your greeting should be welcoming. Always clarify in your greeting the reason why you are contacting the prospect.",
-    '2': "Qualification: Qualify the prospect by confirming if they are the right person to talk to regarding your product/service. Ensure that they have the authority to make purchasing decisions.",
-    '3': "Value proposition: Briefly explain how your product/service can benefit the prospect. Focus on the unique selling points and value proposition of your product/service that sets it apart from competitors.",
-    '4': "Needs analysis: Ask open-ended questions to uncover the prospect's needs and pain points. Listen carefully to their responses and take notes.",
-    '5': "Solution presentation: Based on the prospect's needs, present your product/service as the solution that can address their pain points.",
-    '6': "Objection handling: Address any objections that the prospect may have regarding your product/service. Be prepared to provide evidence or testimonials to support your claims.",
-    '7': "Close: Ask for the sale by proposing a next step. This could be a demo, a trial or a meeting with decision-makers. Ensure to summarize what has been discussed and reiterate the benefits."}
+conversation_stages = {'1' : "Introduction: Start the conversation by introducing yourself and your company. Be polite and respectful while keeping the tone of the conversation professional. Your greeting should be welcoming. Always clarify in your greeting the reason why you are contacting the prospect.",
+'2': "Qualification: Qualify the prospect by confirming if they are the right person to talk to regarding your product/service. Ensure that they have the authority to make purchasing decisions.",
+'3': "Value proposition: Briefly explain how your product/service can benefit the prospect. Focus on the unique selling points and value proposition of your product/service that sets it apart from competitors.",
+'4': "Needs analysis: Ask open-ended questions to uncover the prospect's needs and pain points. Listen carefully to their responses and take notes.",
+'5': "Solution presentation: Based on the prospect's needs, present your product/service as the solution that can address their pain points.",
+'6': "Objection handling: Address any objections that the prospect may have regarding your product/service. Be prepared to provide evidence or testimonials to support your claims.",
+'7': "Close: Ask for the sale by proposing a next step. This could be a demo, a trial or a meeting with decision-makers. Ensure to summarize what has been discussed and reiterate the benefits."}

metagpt/prompts/summarize.py

@@ -20,6 +20,7 @@ summary. Pick a suitable emoji for every bullet point. Your response should be i
 a YouTube video, use the following text: {{CONTENT}}.
 """
 
+
 # GCP-VertexAI-Text Summarization (SUMMARIZE_PROMPT_2-5 are from this source)
 # https://github.com/GoogleCloudPlatform/generative-ai/blob/main/language/examples/prompt-design/text_summarization.ipynb
 # Long documents require a map-reduce process, see the following notebook
@@ -38,6 +39,7 @@ Summary:
 
 """
 
+
 SUMMARIZE_PROMPT_3 = """
 Provide a TL;DR for the following article:
 
@@ -51,6 +53,7 @@ Instead of computing on the individual qubits themselves, we will then compute o
 TL;DR:
 """
 
+
 SUMMARIZE_PROMPT_4 = """
 Provide a very short summary in four bullet points for the following article:
 
@@ -65,6 +68,7 @@ Bulletpoints:
 
 """
 
+
 SUMMARIZE_PROMPT_5 = """
 Please generate a summary of the following conversation and at the end summarize the to-do's for the support Agent:
 

metagpt/prompts/tutorial_assistant.py

@@ -36,4 +36,4 @@ Strictly limit output according to the following requirements:
 3. The output must be strictly in the specified language, {language}.
 4. Do not have redundant output, including concluding remarks.
 5. Strict requirement not to output the topic "{topic}".
-"""
+"""

metagpt/prompts/use_lib_sop.py

@@ -73,6 +73,7 @@ The action_list can contain arbitrary number of actions. The args of each action
 6. I will execute your code step by step and give you feedback. If some action fails, I will stop at that action and will not execute its following actions. The feedback will include error messages about the failed action. At that time, you should replan and write the new code just starting from that failed action.
 """
 
+
 SOP_USER = """USER:
 My current state:
 - inventory: {inventory}

metagpt/provider/__init__.py

@@ -8,4 +8,5 @@
 
 from metagpt.provider.openai_api import OpenAIGPTAPI
 
+
 __all__ = ["OpenAIGPTAPI"]

metagpt/provider/anthropic_api.py

@@ -32,3 +32,4 @@ class Claude2:
             max_tokens_to_sample=1000,
         )
         return res.completion
+    

metagpt/provider/base_chatbot.py

@@ -25,3 +25,4 @@ class BaseChatbot(ABC):
     @abstractmethod
     def ask_code(self, msgs: list) -> str:
         """Ask GPT multiple questions and get a piece of code"""
+        

metagpt/provider/base_gpt_api.py

@@ -115,3 +115,4 @@ class BaseGPTAPI(BaseChatbot):
     def messages_to_dict(self, messages):
         """objects to [{"role": "user", "content": msg}] etc."""
         return [i.to_dict() for i in messages]
+    

metagpt/provider/openai_api.py

@@ -41,7 +41,7 @@ class RateLimiter:
         self.rpm = rpm
 
     def split_batches(self, batch):
-        return [batch[i: i + self.rpm] for i in range(0, len(batch), self.rpm)]
+        return [batch[i : i + self.rpm] for i in range(0, len(batch), self.rpm)]
 
     async def wait_if_needed(self, num_requests):
         current_time = time.time()
@@ -83,9 +83,8 @@ class CostManager(metaclass=Singleton):
         self.total_prompt_tokens += prompt_tokens
         self.total_completion_tokens += completion_tokens
         cost = (
-                       prompt_tokens * TOKEN_COSTS[model]["prompt"] + completion_tokens * TOKEN_COSTS[model][
-                   "completion"]
-               ) / 1000
+            prompt_tokens * TOKEN_COSTS[model]["prompt"] + completion_tokens * TOKEN_COSTS[model]["completion"]
+        ) / 1000
         self.total_cost += cost
         logger.info(
             f"Total running cost: ${self.total_cost:.3f} | Max budget: ${CONFIG.max_budget:.3f} | "

metagpt/roles/__init__.py

@@ -6,15 +6,16 @@
 @File    : __init__.py
 """
 
-from metagpt.roles.architect import Architect
-from metagpt.roles.customer_service import CustomerService
-from metagpt.roles.engineer import Engineer
-from metagpt.roles.product_manager import ProductManager
-from metagpt.roles.project_manager import ProjectManager
-from metagpt.roles.qa_engineer import QaEngineer
 from metagpt.roles.role import Role
-from metagpt.roles.sales import Sales
+from metagpt.roles.architect import Architect
+from metagpt.roles.project_manager import ProjectManager
+from metagpt.roles.product_manager import ProductManager
+from metagpt.roles.engineer import Engineer
+from metagpt.roles.qa_engineer import QaEngineer
 from metagpt.roles.seacher import Searcher
+from metagpt.roles.sales import Sales
+from metagpt.roles.customer_service import CustomerService
+
 
 __all__ = [
     "Role",

metagpt/roles/architect.py

@@ -23,11 +23,11 @@ class Architect(Role):
     """
 
     def __init__(
-            self,
-            name: str = "Bob",
-            profile: str = "Architect",
-            goal: str = "Design a concise, usable, complete python system",
-            constraints: str = "Try to specify good open source tools as much as possible",
+        self,
+        name: str = "Bob",
+        profile: str = "Architect",
+        goal: str = "Design a concise, usable, complete python system",
+        constraints: str = "Try to specify good open source tools as much as possible",
     ) -> None:
         """Initializes the Architect with given attributes."""
         super().__init__(name, profile, goal, constraints)

metagpt/roles/customer_service.py

@@ -32,3 +32,4 @@ class CustomerService(Sales):
             store=None
     ):
         super().__init__(name, profile, desc=desc, store=store)
+        

metagpt/roles/engineer.py

@@ -61,13 +61,13 @@ class Engineer(Role):
     """
 
     def __init__(
-            self,
-            name: str = "Alex",
-            profile: str = "Engineer",
-            goal: str = "Write elegant, readable, extensible, efficient code",
-            constraints: str = "The code should conform to standards like PEP8 and be modular and maintainable",
-            n_borg: int = 1,
-            use_code_review: bool = False,
+        self,
+        name: str = "Alex",
+        profile: str = "Engineer",
+        goal: str = "Write elegant, readable, extensible, efficient code",
+        constraints: str = "The code should conform to standards like PEP8 and be modular and maintainable",
+        n_borg: int = 1,
+        use_code_review: bool = False,
     ) -> None:
         """Initializes the Engineer role with given attributes."""
         super().__init__(name, profile, goal, constraints)

metagpt/roles/product_manager.py

@@ -21,11 +21,11 @@ class ProductManager(Role):
     """
 
     def __init__(
-            self,
-            name: str = "Alice",
-            profile: str = "Product Manager",
-            goal: str = "Efficiently create a successful product",
-            constraints: str = "",
+        self,
+        name: str = "Alice",
+        profile: str = "Product Manager",
+        goal: str = "Efficiently create a successful product",
+        constraints: str = "",
     ) -> None:
         """
         Initializes the ProductManager role with given attributes.

metagpt/roles/project_manager.py

@@ -22,11 +22,11 @@ class ProjectManager(Role):
     """
 
     def __init__(
-            self,
-            name: str = "Eve",
-            profile: str = "Project Manager",
-            goal: str = "Improve team efficiency and deliver with quality and quantity",
-            constraints: str = "",
+        self,
+        name: str = "Eve",
+        profile: str = "Project Manager",
+        goal: str = "Improve team efficiency and deliver with quality and quantity",
+        constraints: str = "",
     ) -> None:
         """
         Initializes the ProjectManager role with given attributes.

metagpt/roles/prompt.py

@@ -23,7 +23,6 @@ SUFFIX = """Let's begin!
 Question: {input}
 Thoughts: {agent_scratchpad}"""
 
-
 class PromptString(Enum):
     REFLECTION_QUESTIONS = "Here are some statements:\n{memory_descriptions}\n\nBased solely on the information above, what are the 3 most prominent high-level questions we can answer about the topic in the statements?\n\n{format_instructions}"
 

metagpt/roles/qa_engineer.py

@@ -26,12 +26,12 @@ from metagpt.utils.special_tokens import FILENAME_CODE_SEP, MSG_SEP
 
 class QaEngineer(Role):
     def __init__(
-            self,
-            name="Edward",
-            profile="QaEngineer",
-            goal="Write comprehensive and robust tests to ensure codes will work as expected without bugs",
-            constraints="The test code you write should conform to code standard like PEP8, be modular, easy to read and maintain",
-            test_round_allowed=5,
+        self,
+        name="Edward",
+        profile="QaEngineer",
+        goal="Write comprehensive and robust tests to ensure codes will work as expected without bugs",
+        constraints="The test code you write should conform to code standard like PEP8, be modular, easy to read and maintain",
+        test_round_allowed=5,
     ):
         super().__init__(name, profile, goal, constraints)
         self._init_actions(

metagpt/roles/researcher.py

@@ -21,13 +21,13 @@ class Report(BaseModel):
 
 class Researcher(Role):
     def __init__(
-            self,
-            name: str = "David",
-            profile: str = "Researcher",
-            goal: str = "Gather information and conduct research",
-            constraints: str = "Ensure accuracy and relevance of information",
-            language: str = "en-us",
-            **kwargs,
+        self,
+        name: str = "David",
+        profile: str = "Researcher",
+        goal: str = "Gather information and conduct research",
+        constraints: str = "Ensure accuracy and relevance of information",
+        language: str = "en-us",
+        **kwargs,
     ):
         super().__init__(name, profile, goal, constraints, **kwargs)
         self._init_actions([CollectLinks(name), WebBrowseAndSummarize(name), ConductResearch(name)])
@@ -93,10 +93,8 @@ class Researcher(Role):
 if __name__ == "__main__":
     import fire
 
-
     async def main(topic: str, language="en-us"):
         role = Researcher(topic, language=language)
         await role.run(topic)
 
-
     fire.Fire(main)

metagpt/roles/sales.py

@@ -32,3 +32,4 @@ class Sales(Role):
         else:
             action = SearchAndSummarize()
         self._init_actions([action])
+        

metagpt/roles/seacher.py

@@ -23,13 +23,13 @@ class Searcher(Role):
         constraints (str): Constraints or limitations for the searcher.
         engine (SearchEngineType): The type of search engine to use.
     """
-
-    def __init__(self,
-                 name: str = 'Alice',
-                 profile: str = 'Smart Assistant',
+    
+    def __init__(self, 
+                 name: str = 'Alice', 
+                 profile: str = 'Smart Assistant', 
                  goal: str = 'Provide search services for users',
-                 constraints: str = 'Answer is rich and complete',
-                 engine=SearchEngineType.SERPAPI_GOOGLE,
+                 constraints: str = 'Answer is rich and complete', 
+                 engine=SearchEngineType.SERPAPI_GOOGLE, 
                  **kwargs) -> None:
         """
         Initializes the Searcher role with given attributes.
@@ -53,7 +53,7 @@ class Searcher(Role):
         """Performs the search action in a single process."""
         logger.info(f"{self._setting}: ready to {self._rc.todo}")
         response = await self._rc.todo.run(self._rc.memory.get(k=0))
-
+        
         if isinstance(response, ActionOutput):
             msg = Message(content=response.content, instruct_content=response.instruct_content,
                           role=self.profile, cause_by=type(self._rc.todo))

metagpt/roles/sk_agent.py

@@ -29,12 +29,12 @@ class SkAgent(Role):
     """
 
     def __init__(
-            self,
-            name: str = "Sunshine",
-            profile: str = "sk_agent",
-            goal: str = "Execute task based on passed in task description",
-            constraints: str = "",
-            planner_cls=BasicPlanner,
+        self,
+        name: str = "Sunshine",
+        profile: str = "sk_agent",
+        goal: str = "Execute task based on passed in task description",
+        constraints: str = "",
+        planner_cls=BasicPlanner,
     ) -> None:
         """Initializes the Engineer role with given attributes."""
         super().__init__(name, profile, goal, constraints)

metagpt/roles/tutorial_assistant.py

@@ -29,12 +29,12 @@ class TutorialAssistant(Role):
     """
 
     def __init__(
-            self,
-            name: str = "Stitch",
-            profile: str = "Tutorial Assistant",
-            goal: str = "Generate tutorial documents",
-            constraints: str = "Strictly follow Markdown's syntax, with neat and standardized layout",
-            language: str = "Chinese",
+        self,
+        name: str = "Stitch",
+        profile: str = "Tutorial Assistant",
+        goal: str = "Generate tutorial documents",
+        constraints: str = "Strictly follow Markdown's syntax, with neat and standardized layout",
+        language: str = "Chinese",
     ):
         super().__init__(name, profile, goal, constraints)
         self._init_actions([WriteDirectory(language=language)])

metagpt/schema.py

@@ -50,7 +50,6 @@ class UserMessage(Message):
     """便于支持OpenAI的消息
        Facilitate support for OpenAI messages
     """
-
     def __init__(self, content: str):
         super().__init__(content, 'user')
 
@@ -60,7 +59,6 @@ class SystemMessage(Message):
     """便于支持OpenAI的消息
        Facilitate support for OpenAI messages
     """
-
     def __init__(self, content: str):
         super().__init__(content, 'system')
 
@@ -70,7 +68,6 @@ class AIMessage(Message):
     """便于支持OpenAI的消息
        Facilitate support for OpenAI messages
     """
-
     def __init__(self, content: str):
         super().__init__(content, 'assistant')
 

metagpt/skills/WriterSkill/Brainstorm/config.json

@@ -8,9 +8,7 @@
     "top_p": 1.0,
     "presence_penalty": 0.0,
     "frequency_penalty": 0.0,
-    "stop_sequences": [
-      "##END##"
-    ]
+    "stop_sequences": ["##END##"]
   },
   "input": {
     "parameters": [

metagpt/software_company.py

@@ -59,3 +59,4 @@ class SoftwareCompany(BaseModel):
             self._check_balance()
             await self.environment.run()
         return self.environment.history
+    

metagpt/tools/__init__.py

@@ -6,6 +6,7 @@
 @File    : __init__.py
 """
 
+
 from enum import Enum
 
 

metagpt/tools/code_interpreter.py

@@ -1,16 +1,16 @@
-import inspect
 import re
-import textwrap
-from pathlib import Path
 from typing import List, Callable
+from pathlib import Path
 
 import wrapt
+import textwrap
+import inspect
 from interpreter.interpreter import Interpreter
 
-from metagpt.actions.clone_function import CloneFunction, run_function_code, run_function_script
-from metagpt.config import CONFIG
 from metagpt.logs import logger
+from metagpt.config import CONFIG
 from metagpt.utils.highlight import highlight
+from metagpt.actions.clone_function import CloneFunction, run_function_code, run_function_script
 
 
 def extract_python_code(code: str):
@@ -36,7 +36,6 @@ def extract_python_code(code: str):
 
 class OpenCodeInterpreter(object):
     """https://github.com/KillianLucas/open-interpreter"""
-
     def __init__(self, auto_run: bool = True) -> None:
         interpreter = Interpreter()
         interpreter.auto_run = auto_run
@@ -127,5 +126,4 @@ class OpenInterpreterDecorator(object):
             except Exception as e:
                 raise Exception("Could not evaluate Python code", e)
             return res
-
         return wrapper(wrapped)

metagpt/tools/prompt_writer.py

@@ -10,7 +10,6 @@ from typing import Union
 
 class GPTPromptGenerator:
     """Using LLM, given an output, request LLM to provide input (supporting instruction, chatbot, and query styles)"""
-
     def __init__(self):
         self._generators = {i: getattr(self, f"gen_{i}_style") for i in ['instruction', 'chatbot', 'query']}
 

metagpt/tools/sd_engine.py

@@ -10,8 +10,8 @@ import os
 from os.path import join
 from typing import List
 
-from PIL import Image, PngImagePlugin
 from aiohttp import ClientSession
+from PIL import Image, PngImagePlugin
 
 from metagpt.config import Config
 from metagpt.const import WORKSPACE_ROOT
@@ -64,12 +64,12 @@ class SDEngine:
         logger.info(self.sd_t2i_url)
 
     def construct_payload(
-            self,
-            prompt,
-            negtive_prompt=default_negative_prompt,
-            width=512,
-            height=512,
-            sd_model="galaxytimemachinesGTM_photoV20",
+        self,
+        prompt,
+        negtive_prompt=default_negative_prompt,
+        width=512,
+        height=512,
+        sd_model="galaxytimemachinesGTM_photoV20",
     ):
         # Configure the payload with provided inputs
         self.payload["prompt"] = prompt
@@ -120,13 +120,11 @@ def decode_base64_to_image(img, save_name):
     image.save(f"{save_name}.png", pnginfo=pnginfo)
     return pnginfo, image
 
-
 def batch_decode_base64_to_image(imgs, save_dir="", save_name=""):
     for idx, _img in enumerate(imgs):
         save_name = join(save_dir, save_name)
         decode_base64_to_image(_img, save_name=save_name)
 
-
 if __name__ == "__main__":
     engine = SDEngine()
     prompt = "pixel style, game design, a game interface should be minimalistic and intuitive with the score and high score displayed at the top. The snake and its food should be easily distinguishable. The game should have a simple color scheme, with a contrasting color for the snake and its food. Complete interface boundary"

metagpt/tools/search_engine.py

@@ -20,7 +20,7 @@ class SkSearchEngine:
 
     @sk_function(
         description="searches results from Google. Useful when you need to find short "
-                    "and succinct answers about a specific topic. Input should be a search query.",
+        "and succinct answers about a specific topic. Input should be a search query.",
         name="searchAsync",
         input_description="search",
     )
@@ -42,7 +42,7 @@ class SearchEngine:
     """
 
     def __init__(
-            self,
+        self,
             engine: Optional[SearchEngineType] = None,
             run_func: Callable[[str, int, bool], Coroutine[None, None, Union[str, list[str]]]] = None,
     ):
@@ -68,19 +68,19 @@ class SearchEngine:
 
     @overload
     def run(
-            self,
-            query: str,
-            max_results: int = 8,
-            as_string: Literal[True] = True,
+        self,
+        query: str,
+        max_results: int = 8,
+        as_string: Literal[True] = True,
     ) -> str:
         ...
 
     @overload
     def run(
-            self,
-            query: str,
-            max_results: int = 8,
-            as_string: Literal[False] = False,
+        self,
+        query: str,
+        max_results: int = 8,
+        as_string: Literal[False] = False,
     ) -> list[dict[str, str]]:
         ...
 

metagpt/tools/search_engine_ddg.py

@@ -25,10 +25,10 @@ class DDGAPIWrapper:
     """
 
     def __init__(
-            self,
-            *,
-            loop: asyncio.AbstractEventLoop | None = None,
-            executor: futures.Executor | None = None,
+        self,
+        *,
+        loop: asyncio.AbstractEventLoop | None = None,
+        executor: futures.Executor | None = None,
     ):
         kwargs = {}
         if CONFIG.global_proxy:
@@ -39,29 +39,29 @@ class DDGAPIWrapper:
 
     @overload
     def run(
-            self,
-            query: str,
-            max_results: int = 8,
-            as_string: Literal[True] = True,
-            focus: list[str] | None = None,
+        self,
+        query: str,
+        max_results: int = 8,
+        as_string: Literal[True] = True,
+        focus: list[str] | None = None,
     ) -> str:
         ...
 
     @overload
     def run(
-            self,
-            query: str,
-            max_results: int = 8,
-            as_string: Literal[False] = False,
-            focus: list[str] | None = None,
+        self,
+        query: str,
+        max_results: int = 8,
+        as_string: Literal[False] = False,
+        focus: list[str] | None = None,
     ) -> list[dict[str, str]]:
         ...
 
     async def run(
-            self,
-            query: str,
-            max_results: int = 8,
-            as_string: bool = True,
+        self,
+        query: str,
+        max_results: int = 8,
+        as_string: bool = True,
     ) -> str | list[dict]:
         """Return the results of a Google search using the official Google API