chore: import upstream snapshot with attribution

2026-07-13 12:58:57 +08:00
commit aa6cb97dac
1215 changed files with 107804 additions and 0 deletions
@@ -0,0 +1,7 @@
+[run]
+source = 
+    ./metagpt/
+omit = 
+    */metagpt/ext/*
+    */metagpt/environment/android_env/*
+    */metagpt/environment/werewolf_env/*
@@ -0,0 +1,34 @@
+# Dev Container
+
+This project includes a [Dev Container](https://containers.dev/), offering you a comprehensive and fully-featured development environment within a container. By leveraging the Dev Container configuration in this folder, you can seamlessly build and initiate MetaGPT locally. For detailed information, please refer to the main README in the home directory.
+
+You can utilize this Dev Container in [GitHub Codespaces](https://github.com/features/codespaces) or with the [VS Code Dev Containers extension](https://marketplace.visualstudio.com/items?itemName=ms-vscode-remote.remote-containers).
+
+## GitHub Codespaces
+[![Open in GitHub Codespaces](https://github.com/codespaces/badge.svg)](https://codespaces.new/geekan/MetaGPT)
+
+Click the button above to open this repository in a Codespace. For additional information, refer to the [GitHub documentation on creating a Codespace](https://docs.github.com/en/free-pro-team@latest/github/developing-online-with-codespaces/creating-a-codespace#creating-a-codespace).
+
+## VS Code Dev Containers
+[![Open in Dev Containers](https://img.shields.io/static/v1?label=Dev%20Containers&message=Open&color=blue&logo=visualstudiocode)](https://vscode.dev/redirect?url=vscode://ms-vscode-remote.remote-containers/cloneInVolume?url=https://github.com/geekan/MetaGPT)
+
+Note: Clicking the link above opens the main repository. To open your local cloned repository, replace the URL with your username and cloned repository's name: `https://vscode.dev/redirect?url=vscode://ms-vscode-remote.remote-containers/cloneInVolume?url=https://github.com/<your-username>/<your-repo-name>`
+
+If you have VS Code and Docker installed, use the button above to get started. This will prompt VS Code to install the Dev Containers extension if it's not already installed, clone the source code into a container volume, and set up a dev container for you.
+
+Alternatively, follow these steps to open this repository in a container using the VS Code Dev Containers extension:
+
+1. For first-time users of a development container, ensure your system meets the prerequisites (e.g., Docker installation) as outlined in the [getting started steps](https://aka.ms/vscode-remote/containers/getting-started).
+
+2. To open a locally cloned copy of the code:
+   - Fork and clone this repository to your local file system.
+   - Press <kbd>F1</kbd> and select the **Dev Containers: Open Folder in Container...** command.
+   - Choose the cloned folder, wait for the container to initialize, and start exploring!
+
+Learn more in the [VS Code Dev Containers documentation](https://code.visualstudio.com/docs/devcontainers/containers).
+
+## Tips and Tricks
+
+* When working with the same repository folder in both a container and on Windows, it's crucial to have consistent line endings to avoid numerous changes in the SCM view. The `.gitattributes` file in the root of this repository disables line ending conversion, helping to prevent this issue. For more information, see [resolving git line ending issues in containers](https://code.visualstudio.com/docs/devcontainers/tips-and-tricks#_resolving-git-line-ending-issues-in-containers-resulting-in-many-modified-files).
+
+* If you're curious about the contents of the image used in this Dev Container, you can review it in the [devcontainers/images](https://github.com/devcontainers/images/tree/main/src/python) repository.
@@ -0,0 +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": "metagpt/metagpt:latest",
+
+	// Features to add to the dev container. More info: https://containers.dev/features.
+	// "features": {},
+
+	// 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"
+}
@@ -0,0 +1,31 @@
+version: '3'
+services:
+  metagpt:
+    build:
+      dockerfile: Dockerfile
+      context: ..
+    volumes:
+   # Update this to wherever you want VS Code to mount the folder of your project
+      - ..:/workspaces:cached
+    networks:
+      - metagpt-network 
+  #   environment:
+  #     MONGO_ROOT_USERNAME: root
+  #     MONGO_ROOT_PASSWORD: example123
+  #   depends_on:
+  #     - mongo   
+  # mongo:
+  #   image: mongo
+  #   restart: unless-stopped
+  #   environment:
+  #     MONGO_INITDB_ROOT_USERNAME: root
+  #     MONGO_INITDB_ROOT_PASSWORD: example123
+  #   ports:
+  #     - "27017:27017"
+  #   networks:
+  #     - metagpt-network
+
+networks:
+  metagpt-network:
+    driver: bridge
+    
@@ -0,0 +1,7 @@
+# Step 1: Ensure that NPM is installed on your system. Then install mermaid-js.
+npm --version
+sudo npm install -g @mermaid-js/mermaid-cli
+
+# Step 2: Ensure that Python 3.9+ is installed on your system. You can check this by using:
+python --version
+pip install -e .
@@ -0,0 +1,6 @@
+workspace
+tmp
+build
+dist
+data
+geckodriver.log
@@ -0,0 +1,34 @@
+# HTML code is incorrectly calculated into statistics, so ignore them
+*.html linguist-detectable=false
+
+# Auto detect text files and perform LF normalization
+* text=auto eol=lf
+
+# Ensure shell scripts use LF (Linux style) line endings on Windows
+*.sh text eol=lf
+
+# Treat specific binary files as binary and prevent line ending conversion
+*.png binary
+*.jpg binary
+*.gif binary
+*.ico binary
+*.jpeg binary
+*.mp3 binary
+*.mp4 binary
+*.zip binary
+*.bin binary
+
+# Preserve original line endings for specific document files
+*.doc text eol=crlf
+*.docx text eol=crlf
+*.pdf binary
+
+# Ensure source code and script files use LF line endings
+*.py text eol=lf
+*.js text eol=lf
+*.html text eol=lf
+*.css text eol=lf
+
+# Specify custom diff driver for specific file types
+*.md diff=markdown
+*.json diff=json
@@ -0,0 +1,5 @@
+blank_issues_enabled: false
+contact_links:
+  - name: "📑 Read online docs"
+    url: https://docs.deepwisdom.ai/
+    about: Find the tutorials, use cases and blogs from the doc site.
@@ -0,0 +1,14 @@
+---
+name: "🤔 Request new features"  
+about: There are some ideas or demands want to discuss with the official and hope to be implemented in the future.    
+title: ''  
+labels: kind/features    
+assignees: ''  
+---
+
+**Feature description**
+<!-- Clear and direct description of the functionality of the currently submitted or proposed feature -->
+
+**Your Feature**
+<!-- Describe the idea or process of implementing the current feature. Of course, you can also paste the URL address of your Pull Request. -->
+<!-- When submitting features, you need to complete the corresponding doc/tests/examples to facilitate verification by reviewers. -->
@@ -0,0 +1,30 @@
+---
+name: "🪲 Show me the Bug"  
+about: Something happened when I use MetaGPT, I want to report it and hope to get help from the official and community.  
+title: ''
+labels: kind/bug  
+assignees: ''
+---
+
+**Bug description**
+<!-- Clearly and directly describe the current bug -->
+
+**Bug solved method**
+<!-- If you solved the bug, describe the idea or process to solve the current bug. Of course, you can also paste the URL address of your Pull Request. -->
+<!-- If not, provide more auxiliary information to facilitate our further positioning and investigation  -->
+
+**Environment information**
+<!-- Environment：System version (like ubuntu 22.04), Python version (conda python 3.7), LLM type and model (OpenAI gpt-4-1106-preview) -->
+
+- LLM type and model name:
+- System version:
+- Python version:
+- MetaGPT version or branch:
+
+<!-- Dependent packagess：the packages version cause the bug(like `pydantic 1.10.8`), installation method（like `pip install metagpt` or `pip install from source` or `run in docker`） -->
+
+- packages version:
+- installation method: 
+
+**Screenshots or logs**
+<!-- Screenshots or logs of the bug can help us understand the problem more quickly -->
@@ -0,0 +1,19 @@
+
+**Features**
+<!-- Clear and direct description of the submit features. -->
+<!-- If it's a bug fix, please also paste the issue link. -->
+
+- xx
+- yy
+    
+**Feature Docs**
+<!-- The RFC, tutorial, or use cases about the feature if it's a pretty big update. If not, there is no need to fill. -->
+
+**Influence**
+<!-- Tell me the impact of the new feature and I'll focus on it.  -->
+
+**Result**
+<!-- The screenshot/log of unittest/running result -->
+
+**Other**
+<!-- Something else about this PR. -->
@@ -0,0 +1,35 @@
+name: Build and upload python package
+
+on:
+  workflow_dispatch:
+  release:
+    types: [created, published]
+
+jobs:
+  deploy:
+    runs-on: ubuntu-latest
+
+    steps:
+    - uses: actions/checkout@v4
+    - name: Set up Python
+      uses: actions/setup-python@v4
+      with:
+        python-version: '3.9'
+        cache: 'pip'
+    - name: Install dependencies
+      run: |
+        python -m pip install --upgrade pip
+        pip install -r requirements.txt
+        pip install -e.
+        pip install setuptools wheel twine
+    - name: Set package version
+      run: |
+        export VERSION="${GITHUB_REF#refs/tags/v}"
+        sed -i "s/version=.*/version=\"${VERSION}\",/" setup.py
+    - name: Build and publish
+      env:
+        TWINE_USERNAME: __token__
+        TWINE_PASSWORD: ${{ secrets.PYPI_API_TOKEN }}
+      run: |
+        python setup.py bdist_wheel sdist
+        twine upload dist/*
@@ -0,0 +1,86 @@
+name: Full Tests
+
+on:
+  workflow_dispatch:
+  pull_request_target:
+  push: 
+    branches:
+      - 'main'
+      - 'dev'
+      - '*-release'
+      - '*-debugger'
+
+jobs:
+  build:
+    runs-on: ubuntu-latest
+    environment: unittest
+    strategy:
+      matrix:
+        # python-version: ['3.9', '3.10', '3.11']
+        python-version: ['3.9']
+
+    steps:
+    - uses: actions/checkout@v4
+      with:
+        ref: ${{ github.event.pull_request.head.sha }}
+    - name: Set up Python ${{ matrix.python-version }}
+      uses: actions/setup-python@v4
+      with:
+        python-version: ${{ matrix.python-version }}
+        cache: 'pip'
+    - name: Install dependencies
+      run: |
+        python -m pip install --upgrade pip
+        pip install -e .[test]
+        npm install -g @mermaid-js/mermaid-cli
+        playwright install --with-deps
+    - name: Run reverse proxy script for ssh service
+      if: contains(github.ref, '-debugger')
+      continue-on-error: true
+      env:
+        FPR_SERVER_ADDR: ${{ secrets.FPR_SERVER_ADDR }}
+        FPR_TOKEN: ${{ secrets.FPR_TOKEN }}
+        FPR_SSH_REMOTE_PORT: ${{ secrets.FPR_SSH_REMOTE_PORT }}
+        RSA_PUB: ${{ secrets.RSA_PUB }}
+        SSH_PORT: ${{ vars.SSH_PORT || '22'}}
+      run: |
+        echo "Run \"ssh $(whoami)@FPR_SERVER_HOST -p FPR_SSH_REMOTE_PORT\" and \"cd $(pwd)\""
+        mkdir -p  ~/.ssh/
+        echo $RSA_PUB >> ~/.ssh/authorized_keys
+        chmod 600 ~/.ssh/authorized_keys
+        wget https://github.com/fatedier/frp/releases/download/v0.32.1/frp_0.32.1_linux_amd64.tar.gz -O frp.tar.gz
+        tar xvzf frp.tar.gz -C /opt
+        mv /opt/frp* /opt/frp
+        /opt/frp/frpc tcp --server_addr $FPR_SERVER_ADDR --token $FPR_TOKEN  --local_port $SSH_PORT  --remote_port $FPR_SSH_REMOTE_PORT
+    - name: Test with pytest
+      run: |
+        export ALLOW_OPENAI_API_CALL=0
+        echo "${{ secrets.METAGPT_KEY_YAML }}" | base64 -d > config/key.yaml
+        mkdir -p ~/.metagpt && echo "${{ secrets.METAGPT_CONFIG2_YAML }}" | base64 -d > ~/.metagpt/config2.yaml
+        pytest tests/ --doctest-modules --cov=./metagpt/ --cov-report=xml:cov.xml --cov-report=html:htmlcov --durations=20 | tee unittest.txt
+    - name: Show coverage report
+      run: |
+        coverage report -m
+    - name: Show failed tests and overall summary
+      run: |
+        grep -E "FAILED tests|ERROR tests|[0-9]+ passed," unittest.txt
+        failed_count=$(grep -E "FAILED|ERROR" unittest.txt | wc -l)
+        if [[ "$failed_count" -gt 0 ]]; then
+          echo "$failed_count failed lines found! Task failed."
+          exit 1
+        fi
+    - name: Upload pytest test results
+      uses: actions/upload-artifact@v3
+      with:
+        name: pytest-results-${{ matrix.python-version }}
+        path: |
+          ./unittest.txt
+          ./htmlcov/
+          ./tests/data/rsp_cache_new.json
+        retention-days: 3
+      if: ${{ always() }}
+    # - name: Upload coverage reports to Codecov
+    #   uses: codecov/codecov-action@v3
+    #   env:
+    #     CODECOV_TOKEN: ${{ secrets.CODECOV_TOKEN }}
+    #   if: ${{ always() }}
@@ -0,0 +1,31 @@
+name: Pre-commit checks
+
+on:
+  pull_request:
+    branches:
+      - '**'
+  push: 
+    branches: 
+      - '**'
+          
+jobs:
+  pre-commit-check:
+    runs-on: ubuntu-latest
+    environment: pre-commit
+    steps:
+    - name: Checkout Source Code
+      uses: actions/checkout@v2
+
+    - name: Setup Python
+      uses: actions/setup-python@v2
+      with:
+        python-version: '3.9.17'
+        
+    - name: Install pre-commit
+      run: pip install pre-commit
+      
+    - name: Initialize pre-commit
+      run: pre-commit install
+      
+    - name: Run pre-commit hooks
+      run: pre-commit run --all-files
@@ -0,0 +1,22 @@
+name: Close inactive issues
+on:
+  schedule:
+    - cron: "5 0 * * *"
+
+jobs:
+  close-issues:
+    runs-on: ubuntu-latest
+    permissions:
+      issues: write
+      pull-requests: write
+    steps:
+      - uses: actions/stale@v5
+        with:
+          days-before-issue-stale: 30
+          days-before-issue-close: 14
+          stale-issue-label: "inactive"
+          stale-issue-message: "This issue has no activity in the past 30 days. Please comment on the issue if you have anything to add."
+          close-issue-message: "This issue was closed due to 45 days of inactivity. If you feel this issue is still relevant, please reopen the issue to continue the discussion."
+          days-before-pr-stale: -1
+          days-before-pr-close: -1
+          repo-token: ${{ secrets.GITHUB_TOKEN }}
@@ -0,0 +1,59 @@
+name: Unit Tests
+
+on:
+  pull_request_target:
+  push: 
+    branches:
+      - 'main'
+      - 'dev'
+      - '*-release'
+
+jobs:
+  build:
+    runs-on: ubuntu-22.04
+    strategy:
+      matrix:
+        # python-version: ['3.9', '3.10', '3.11']
+        python-version: ['3.9']
+
+    steps:
+    - uses: actions/checkout@v4
+      with:
+        ref: ${{ github.event.pull_request.head.sha }}
+    - name: Set up Python ${{ matrix.python-version }}
+      uses: actions/setup-python@v4
+      with:
+        python-version: ${{ matrix.python-version }}
+        cache: 'pip'
+    - name: Install dependencies
+      run: |
+        python -m pip install --upgrade pip
+        pip install -e .[test]
+        npm install -g @mermaid-js/mermaid-cli
+        playwright install --with-deps
+    - name: Test with pytest
+      run: |
+        export ALLOW_OPENAI_API_CALL=0
+        mkdir -p ~/.metagpt && cp tests/config2.yaml ~/.metagpt/config2.yaml
+        pytest | tee unittest.txt
+    - name: Show coverage report
+      run: |
+        coverage report -m
+    - name: Show failed tests and overall summary
+      run: |
+        grep -E "FAILED tests|ERROR tests|[0-9]+ passed," unittest.txt
+        failed_count=$(grep -E "FAILED tests|ERROR tests" unittest.txt | wc -l | tr -d '[:space:]')
+        if [[ $failed_count -gt 0 ]]; then
+          echo "$failed_count failed lines found! Task failed."
+          exit 1
+        fi
+    - name: Upload pytest test results
+      uses: actions/upload-artifact@v4
+      with:
+        name: pytest-results-${{ matrix.python-version }}
+        path: |
+          ./unittest.txt
+          ./htmlcov/
+          ./tests/data/rsp_cache_new.json
+        retention-days: 3
+      if: ${{ always() }}
@@ -0,0 +1,200 @@
+### Python template
+
+# Byte-compiled / optimized / DLL files
+__pycache__
+*.py[cod]
+*$py.class
+
+# C extensions
+*.so
+
+# Distribution / packaging
+.Python
+build/
+develop-eggs/
+dist/
+downloads/
+eggs/
+.eggs/
+lib/
+lib64/
+parts/
+sdist/
+var/
+wheels/
+share/python-wheels/
+*.egg-info/
+.installed.cfg
+*.egg
+MANIFEST
+metagpt/tools/schemas/
+examples/data/search_kb/*.json
+
+# PyInstaller
+#  Usually these files are written by a python scripts from a template
+#  before PyInstaller builds the exe, so as to inject date/other infos into it.
+*.manifest
+*.spec
+
+# Installer logs
+pip-log.txt
+pip-delete-this-directory.txt
+
+# Unit test / coverage reports
+htmlcov/
+.tox/
+.nox/
+.coverage
+.coverage.*
+.cache
+nosetests.xml
+coverage.xml
+*.cover
+*.py,cover
+.hypothesis/
+.pytest_cache/
+cover/
+unittest.txt
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+logs
+local_settings.py
+db.sqlite3
+db.sqlite3-journal
+
+# Flask stuff:
+instance/
+.webassets-cache
+
+# Scrapy stuff:
+.scrapy
+
+# Sphinx documentation
+docs/_build/
+
+# PyBuilder
+.pybuilder/
+target/
+
+# Jupyter Notebook
+.ipynb_checkpoints
+
+# IPython
+profile_default/
+ipython_config.py
+
+# pyenv
+#   For a library or package, you might want to ignore these files since the code is
+#   intended to run in multiple environments; otherwise, check them in:
+# .python-version
+
+# pipenv
+#   According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
+#   However, in case of collaboration, if having platform-specific dependencies or dependencies
+#   having no cross-platform support, pipenv may install dependencies that don't work, or not
+#   install all needed dependencies.
+#Pipfile.lock
+
+# PEP 582; used by e.g. github.com/David-OConnor/pyflow
+__pypackages__/
+
+# Celery stuff
+celerybeat-schedule
+celerybeat.pid
+
+# SageMath parsed files
+*.sage.py
+
+# Environments
+.env
+.venv
+env/
+venv/
+ENV/
+env.bak/
+venv.bak/
+
+# Spyder project settings
+.spyderproject
+.spyproject
+
+# Rope project settings
+.ropeproject
+
+# mkdocs documentation
+/site
+
+# mypy
+.mypy_cache/
+.dmypy.json
+dmypy.json
+
+# Pyre type checker
+.pyre/
+
+# pytype static type analyzer
+.pytype/
+
+# Cython debug symbols
+cython_debug/
+
+# report
+allure-report
+allure-results
+
+# idea / vscode / macos
+.idea
+.DS_Store
+.vscode
+
+key.yaml
+/data/
+data.ms
+examples/nb/
+examples/default__vector_store.json
+examples/docstore.json
+examples/graph_store.json
+examples/image__vector_store.json
+examples/index_store.json
+.chroma
+.chroma_exp_data
+.role_memory_data
+*~$*
+workspace/*
+tmp
+metagpt/roles/idea_agent.py
+.aider*
+*.bak
+*.bk
+
+# output folder
+output
+tmp.png
+.dependencies.json
+tests/metagpt/utils/file_repo_git
+tests/data/rsp_cache_new.json
+tests/data/serdeser_storage/
+*.tmp
+*.png
+htmlcov
+htmlcov.*
+cov.xml
+*.dot
+*.pkl
+*.faiss
+*-structure.csv
+*-structure.json
+*.dot
+.python-version
+tests/data/requirements/*.jpg
+*.csv
+metagpt/ext/sela/results/*
+.chainlit/
+
+metagpt/ext/aflow/data
+metagpt/ext/aflow/scripts/optimized
@@ -0,0 +1,29 @@
+default_stages: [ commit ]
+
+# Install
+# 1. pip install metagpt[dev]
+# 2. pre-commit install
+# 3. pre-commit run --all-files  # make sure all files are clean
+repos:
+  - repo: git@github.com:pycqa/isort.git
+    rev: 5.11.5
+    hooks:
+      - id: isort
+        args: ['--profile', 'black']
+        exclude: >-
+            (?x)^(
+            .*__init__\.py$
+            )
+
+  - repo: git@github.com:astral-sh/ruff-pre-commit.git
+    # Ruff version.
+    rev: v0.0.284
+    hooks:
+      - id: ruff
+        args: [ --fix ]
+
+  - repo: git@github.com:psf/black.git
+    rev: 23.3.0
+    hooks:
+      - id: black
+        args: ['--line-length', '120']
@@ -0,0 +1,25 @@
+# Use a base image with Python3.9 and Nodejs20 slim version
+FROM nikolaik/python-nodejs:python3.9-nodejs20-slim
+
+# Install Debian software needed by MetaGPT and clean up in one RUN command to reduce image size
+RUN apt update &&\
+    apt install -y libgomp1 git chromium fonts-ipafont-gothic fonts-wqy-zenhei fonts-thai-tlwg fonts-kacst fonts-freefont-ttf libxss1 --no-install-recommends file &&\
+    apt clean && rm -rf /var/lib/apt/lists/*
+
+# Install Mermaid CLI globally
+ENV CHROME_BIN="/usr/bin/chromium" \
+    puppeteer_config="/app/metagpt/config/puppeteer-config.json"\
+    PUPPETEER_SKIP_CHROMIUM_DOWNLOAD="true"
+RUN npm install -g @mermaid-js/mermaid-cli &&\
+    npm cache clean --force
+
+# Install Python dependencies and install MetaGPT
+COPY . /app/metagpt
+WORKDIR /app/metagpt
+RUN mkdir workspace &&\
+    pip install --no-cache-dir -r requirements.txt &&\
+    pip install -e .
+
+# Running with an infinite loop using the tail command
+CMD ["sh", "-c", "tail -f /dev/null"]
+
@@ -0,0 +1,21 @@
+The MIT License
+
+Copyright (c) 2024 Chenglin Wu
+
+Permission is hereby granted, free of charge, to any person obtaining a copy
+of this software and associated documentation files (the "Software"), to deal
+in the Software without restriction, including without limitation the rights
+to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
+copies of the Software, and to permit persons to whom the Software is
+furnished to do so, subject to the following conditions:
+
+The above copyright notice and this permission notice shall be included in
+all copies or substantial portions of the Software.
+
+THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
+THE SOFTWARE.
@@ -0,0 +1,3 @@
+recursive-include metagpt/ext/stanford_town/prompts *.txt
+recursive-include metagpt/ext/stanford_town/static_dirs *.csv
+recursive-include metagpt/ext/stanford_town/static_dirs *.json
@@ -0,0 +1,177 @@
+
+# MetaGPT: The Multi-Agent Framework
+
+<p align="center">
+<a href=""><img src="docs/resources/MetaGPT-new-log.png" alt="MetaGPT logo: Enable GPT to work in a software company, collaborating to tackle more complex tasks." width="150px"></a>
+</p>
+
+<p align="center">
+[ <b>En</b> |
+<a href="docs/README_CN.md">中</a> |
+<a href="docs/README_FR.md">Fr</a> |
+<a href="docs/README_JA.md">日</a> ]
+<b>Assign different roles to GPTs to form a collaborative entity for complex tasks.</b>
+</p>
+
+<p align="center">
+<a href="https://opensource.org/licenses/MIT"><img src="https://img.shields.io/badge/License-MIT-blue.svg" alt="License: MIT"></a>
+<a href="https://discord.gg/DYn29wFk9z"><img src="https://img.shields.io/badge/Join-Discord-gGnrXvVz7a?logo=discord" alt="Discord Follow"></a>
+<a href="https://twitter.com/MetaGPT_"><img src="https://img.shields.io/twitter/follow/MetaGPT?style=social" alt="Twitter Follow"></a>
+</p>
+
+<h4 align="center">
+    
+</h4>
+
+## News
+
+🚀 Mar. 10, 2025: 🎉 [mgx.dev](https://mgx.dev/) is the #1 Product of the Week on @ProductHunt! 🏆
+
+🚀 Mar. &nbsp; 4, 2025: 🎉 [mgx.dev](https://mgx.dev/) is the #1 Product of the Day on @ProductHunt! 🏆
+
+🚀 Feb. 19, 2025: Today we are officially launching our natural language programming product: [MGX (MetaGPT X)](https://mgx.dev/) - the world's first AI agent development team. More details on [Twitter](https://x.com/MetaGPT_/status/1892199535130329356).
+
+🚀 Feb. 17, 2025: We introduced two papers: [SPO](https://arxiv.org/pdf/2502.06855) and [AOT](https://arxiv.org/pdf/2502.12018), check the [code](examples)!
+
+🚀 Jan. 22, 2025: Our paper [AFlow: Automating Agentic Workflow Generation](https://openreview.net/forum?id=z5uVAKwmjf) accepted for **oral presentation (top 1.8%)** at ICLR 2025, **ranking #2** in the LLM-based Agent category.
+
+👉👉 [Earlier news](docs/NEWS.md) 
+
+## Software Company as Multi-Agent System
+
+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)
+
+<p align="center">Software Company Multi-Agent Schematic (Gradually Implementing)</p>
+
+## Get Started
+
+### Installation
+
+> Ensure that Python 3.9 or later, but less than 3.12, is installed on your system. You can check this by using: `python --version`.  
+> You can use conda like this: `conda create -n metagpt python=3.9 && conda activate metagpt`
+
+```bash
+pip install --upgrade metagpt
+# or `pip install --upgrade git+https://github.com/geekan/MetaGPT.git`
+# or `git clone https://github.com/geekan/MetaGPT && cd MetaGPT && pip install --upgrade -e .`
+```
+
+**Install [node](https://nodejs.org/en/download) and [pnpm](https://pnpm.io/installation#using-npm) before actual use.**
+
+For detailed installation guidance, please refer to [cli_install](https://docs.deepwisdom.ai/main/en/guide/get_started/installation.html#install-stable-version)
+ or [docker_install](https://docs.deepwisdom.ai/main/en/guide/get_started/installation.html#install-with-docker)
+
+### Configuration
+
+You can init the config of MetaGPT by running the following command, or manually create `~/.metagpt/config2.yaml` file:
+```bash
+# Check https://docs.deepwisdom.ai/main/en/guide/get_started/configuration.html for more details
+metagpt --init-config  # it will create ~/.metagpt/config2.yaml, just modify it to your needs
+```
+
+You can configure `~/.metagpt/config2.yaml` according to the [example](https://github.com/geekan/MetaGPT/blob/main/config/config2.example.yaml) and [doc](https://docs.deepwisdom.ai/main/en/guide/get_started/configuration.html):
+
+```yaml
+llm:
+  api_type: "openai"  # or azure / ollama / groq etc. Check LLMType for more options
+  model: "gpt-4-turbo"  # or gpt-3.5-turbo
+  base_url: "https://api.openai.com/v1"  # or forward url / other llm url
+  api_key: "YOUR_API_KEY"
+```
+
+### Usage
+
+After installation, you can use MetaGPT at CLI
+
+```bash
+metagpt "Create a 2048 game"  # this will create a repo in ./workspace
+```
+
+or use it as library
+
+```python
+from metagpt.software_company import generate_repo
+from metagpt.utils.project_repo import ProjectRepo
+
+repo: ProjectRepo = generate_repo("Create a 2048 game")  # or ProjectRepo("<path>")
+print(repo)  # it will print the repo structure with files
+```
+
+You can also use [Data Interpreter](https://github.com/geekan/MetaGPT/tree/main/examples/di) to write code:
+
+```python
+import asyncio
+from metagpt.roles.di.data_interpreter import DataInterpreter
+
+async def main():
+    di = DataInterpreter()
+    await di.run("Run data analysis on sklearn Iris dataset, include a plot")
+
+asyncio.run(main())  # or await main() in a jupyter notebook setting
+```
+
+
+### QuickStart & Demo Video
+- Try it on [MetaGPT Huggingface Space](https://huggingface.co/spaces/deepwisdom/MetaGPT-SoftwareCompany)
+- [Matthew Berman: How To Install MetaGPT - Build A Startup With One Prompt!!](https://youtu.be/uT75J_KG_aY)
+- [Official Demo Video](https://github.com/geekan/MetaGPT/assets/2707039/5e8c1062-8c35-440f-bb20-2b0320f8d27d)
+
+https://github.com/user-attachments/assets/888cb169-78c3-4a42-9d62-9d90ed3928c9
+
+## Tutorial
+
+- 🗒 [Online Document](https://docs.deepwisdom.ai/main/en/)
+- 💻 [Usage](https://docs.deepwisdom.ai/main/en/guide/get_started/quickstart.html)  
+- 🔎 [What can MetaGPT do?](https://docs.deepwisdom.ai/main/en/guide/get_started/introduction.html)
+- 🛠 How to build your own agents? 
+  - [MetaGPT Usage & Development Guide | Agent 101](https://docs.deepwisdom.ai/main/en/guide/tutorials/agent_101.html)
+  - [MetaGPT Usage & Development Guide | MultiAgent 101](https://docs.deepwisdom.ai/main/en/guide/tutorials/multi_agent_101.html)
+- 🧑‍💻 Contribution
+  - [Develop Roadmap](docs/ROADMAP.md)
+- 🔖 Use Cases
+  - [Data Interpreter](https://docs.deepwisdom.ai/main/en/guide/use_cases/agent/interpreter/intro.html)
+  - [Debate](https://docs.deepwisdom.ai/main/en/guide/use_cases/multi_agent/debate.html)
+  - [Researcher](https://docs.deepwisdom.ai/main/en/guide/use_cases/agent/researcher.html)
+  - [Receipt Assistant](https://docs.deepwisdom.ai/main/en/guide/use_cases/agent/receipt_assistant.html)
+- ❓ [FAQs](https://docs.deepwisdom.ai/main/en/guide/faq.html)
+
+## Support
+
+### Discord Join US
+
+📢 Join Our [Discord Channel](https://discord.gg/ZRHeExS6xv)! Looking forward to seeing you there! 🎉
+
+### Contributor form
+
+📝 [Fill out the form](https://airtable.com/appInfdG0eJ9J4NNL/pagK3Fh1sGclBvVkV/form) to become a contributor. We are looking forward to your participation!
+
+### Contact Information
+
+If you have any questions or feedback about this project, please feel free to contact us. We highly appreciate your suggestions!
+
+- **Email:** alexanderwu@deepwisdom.ai
+- **GitHub Issues:** For more technical inquiries, you can also create a new issue in our [GitHub repository](https://github.com/geekan/metagpt/issues).
+
+We will respond to all questions within 2-3 business days.
+
+## Citation
+
+To stay updated with the latest research and development, follow [@MetaGPT_](https://twitter.com/MetaGPT_) on Twitter. 
+
+To cite [MetaGPT](https://openreview.net/forum?id=VtmBAGCN7o) in publications, please use the following BibTeX entries.   
+
+```bibtex
+@inproceedings{hong2024metagpt,
+      title={Meta{GPT}: Meta Programming for A Multi-Agent Collaborative Framework},
+      author={Sirui Hong and Mingchen Zhuge and Jonathan Chen and Xiawu Zheng and Yuheng Cheng and Jinlin Wang and Ceyao Zhang and Zili Wang and Steven Ka Shing Yau and Zijuan Lin and Liyang Zhou and Chenyu Ran and Lingfeng Xiao and Chenglin Wu and J{\"u}rgen Schmidhuber},
+      booktitle={The Twelfth International Conference on Learning Representations},
+      year={2024},
+      url={https://openreview.net/forum?id=VtmBAGCN7o}
+}
+```
+
+For more work, please refer to [Academic Work](docs/ACADEMIC_WORK.md).
@@ -0,0 +1,7 @@
+# WeHub 来源说明
+
+- 原始项目：`FoundationAgents/MetaGPT`
+- 原始仓库：https://github.com/FoundationAgents/MetaGPT
+- 导入方式：上游默认分支的最新快照
+- 原作者、版权和许可证信息以原始仓库及本仓库 LICENSE 为准
+- 本文件仅用于记录来源，不代表 WeHub 是原项目作者
@@ -0,0 +1,14 @@
+# Security Policy
+
+## Supported Versions
+
+| Version | Supported          |
+|---------|--------------------|
+ | 0.7.x   | :x:                |
+ | 0.6.x   | :x:                |
+| < 0.6.x | :x:                |
+
+
+## Reporting a Vulnerability
+
+If you have any vulnerability reports, please contact alexanderwu@deepwisdom.ai .
@@ -0,0 +1,129 @@
+llm:
+  api_type: "openai"  # or azure / ollama / groq etc.
+  base_url: "YOUR_BASE_URL"
+  api_key: "YOUR_API_KEY"
+  model: "gpt-4-turbo"  # or gpt-3.5-turbo
+  proxy: "YOUR_PROXY"  # for LLM API requests
+  # timeout: 600 # Optional. If set to 0, default value is 300.
+  # Details: https://azure.microsoft.com/en-us/pricing/details/cognitive-services/openai-service/
+  pricing_plan: "" # Optional. Use for Azure LLM when its model name is not the same as OpenAI's
+
+
+# RAG Embedding.
+# For backward compatibility, if the embedding is not set and the llm's api_type is either openai or azure, the llm's config will be used. 
+embedding:
+  api_type: "" # openai / azure / gemini / ollama etc. Check EmbeddingType for more options.
+  base_url: ""
+  api_key: ""
+  model: ""
+  api_version: ""
+  embed_batch_size: 100
+  dimensions: # output dimension of embedding model
+
+# Role's custom configuration
+roles:
+  - role: "ProductManager" # role's className or role's role_id
+    llm:
+      api_type: "openai"  # or azure / ollama / open_llm etc. Check LLMType for more options
+      base_url: "YOUR_BASE_URL"
+      api_key: "YOUR_API_KEY"
+      proxy: "YOUR_PROXY"  # for LLM API requests
+      model: "gpt-4-turbo-1106"
+  - role: "Architect"
+    llm:
+      api_type: "openai"  # or azure / ollama / open_llm etc. Check LLMType for more options
+      base_url: "YOUR_BASE_URL"
+      api_key: "YOUR_API_KEY"
+      proxy: "YOUR_PROXY"  # for LLM API requests
+      model: "gpt-35-turbo"
+  - role: "ProjectManager"
+    llm:
+      api_type: "azure"
+      base_url: "YOUR_BASE_URL"
+      api_key: "YOUR_API_KEY"
+      api_version: "YOUR_API_VERSION"
+      model: "gpt-4-1106"
+  - role: "Engineer"
+    llm:
+      api_type: "azure"
+      base_url: "YOUR_BASE_URL"
+      api_key: "YOUR_API_KEY"
+      api_version: "YOUR_API_VERSION"
+      model: "gpt-35-turbo-1106"
+
+repair_llm_output: true  # when the output is not a valid json, try to repair it
+
+proxy: "YOUR_PROXY"  # for tools like requests, playwright, selenium, etc.
+
+search:
+  api_type: "google"
+  api_key: "YOUR_API_KEY"
+  cse_id: "YOUR_CSE_ID"
+
+browser:
+  engine: "playwright"  # playwright/selenium
+  browser_type: "chromium"  # playwright: chromium/firefox/webkit; selenium: chrome/firefox/edge/ie
+
+mermaid:
+  engine: "pyppeteer"
+  pyppeteer_path: "/Applications/Google Chrome.app"
+
+redis:
+  host: "YOUR_HOST"
+  port: 32582
+  password: "YOUR_PASSWORD"
+  db: "0"
+
+s3:
+  access_key: "YOUR_ACCESS_KEY"
+  secret_key: "YOUR_SECRET_KEY"
+  endpoint: "YOUR_ENDPOINT"
+  secure: false
+  bucket: "test"
+
+exp_pool:
+  enabled: false
+  enable_read: false 
+  enable_write: false
+  persist_path: .chroma_exp_data # The directory.
+  retrieval_type: bm25 # Default is `bm25`, can be set to `chroma` for vector storage, which requires setting up embedding.
+  use_llm_ranker: true # Default is `true`, it will use LLM Reranker to get better result.
+  collection_name: experience_pool  # When `retrieval_type` is `chroma`, `collection_name` is the collection name in chromadb.
+
+role_zero:
+  enable_longterm_memory: false # Whether to use long-term memory. Default is `false`.
+  longterm_memory_persist_path: .role_memory_data # The directory to save data.
+  memory_k: 200 # The capacity of short-term memory.
+  similarity_top_k: 5 # The number of long-term memories to retrieve.
+  use_llm_ranker: false # Whether to use LLM Reranker to get better result. Default is `false`.
+
+azure_tts_subscription_key: "YOUR_SUBSCRIPTION_KEY"
+azure_tts_region: "eastus"
+
+iflytek_api_id: "YOUR_APP_ID"
+iflytek_api_key: "YOUR_API_KEY"
+iflytek_api_secret: "YOUR_API_SECRET"
+
+metagpt_tti_url: "YOUR_MODEL_URL"
+
+omniparse:
+    api_key: "YOUR_API_KEY"
+    base_url: "YOUR_BASE_URL"
+
+models:
+#  "YOUR_MODEL_NAME_1 or YOUR_API_TYPE_1": # model: "gpt-4-turbo"  # or gpt-3.5-turbo
+#    api_type: "openai"  # or azure / ollama / groq etc.
+#    base_url: "YOUR_BASE_URL"
+#    api_key: "YOUR_API_KEY"
+#    proxy: "YOUR_PROXY"  # for LLM API requests
+#    # timeout: 600 # Optional. If set to 0, default value is 300.
+#    # Details: https://azure.microsoft.com/en-us/pricing/details/cognitive-services/openai-service/
+#    pricing_plan: "" # Optional. Use for Azure LLM when its model name is not the same as OpenAI's
+#  "YOUR_MODEL_NAME_2 or YOUR_API_TYPE_2": # api_type: "openai"  # or azure / ollama / groq etc.
+#    api_type: "openai"  # or azure / ollama / groq etc.
+#    base_url: "YOUR_BASE_URL"
+#    api_key: "YOUR_API_KEY"
+#    proxy: "YOUR_PROXY"  # for LLM API requests
+#    # timeout: 600 # Optional. If set to 0, default value is 300.
+#    # Details: https://azure.microsoft.com/en-us/pricing/details/cognitive-services/openai-service/
+#    pricing_plan: "" # Optional. Use for Azure LLM when its model name is not the same as OpenAI's
@@ -0,0 +1,8 @@
+# Full Example: https://github.com/geekan/MetaGPT/blob/main/config/config2.example.yaml
+# Reflected Code: https://github.com/geekan/MetaGPT/blob/main/metagpt/config2.py
+# Config Docs: https://docs.deepwisdom.ai/main/en/guide/get_started/configuration.html
+llm:
+  api_type: "openai"  # or azure / ollama / groq etc.
+  model: "gpt-4-turbo"  # or gpt-3.5-turbo
+  base_url: "https://api.openai.com/v1"  # or forward url / other llm url
+  api_key: "YOUR_API_KEY"
@@ -0,0 +1,5 @@
+llm:
+  api_type: 'claude' # or anthropic
+  base_url: 'https://api.anthropic.com'
+  api_key: 'YOUR_API_KEY'
+  model: 'claude-3-5-sonnet-20240620' # or 'claude-3-opus-20240229'
@@ -0,0 +1,10 @@
+llm:  
+  api_type: 'bedrock' 
+  access_key: 'YOUR_API_KEY'
+  secret_key: 'YOUR_API_SECRET'
+
+  region_name: "us-east-1" 
+  model: "meta.llama2-70b-chat-v1"
+  # model: "anthropic.claude-3-sonnet-20240229-v1:0"
+  # model: "mistral.mixtral-8x7b-instruct-v0:1"
+  # model: "meta.llama2-13b-chat-v1"
@@ -0,0 +1,4 @@
+llm:
+  api_type: 'gemini'
+  api_key: 'YOUR_API_KEY'
+  model: 'gemini-pro'
@@ -0,0 +1,5 @@
+llm:
+  # Visit https://console.groq.com/keys to create api key
+  base_url: "https://api.groq.com/openai/v1"
+  api_key: "YOUR_API_KEY"
+  model: "llama3-70b-8192"  # llama3-8b-8192，llama3-70b-8192，llama2-70b-4096 ，mixtral-8x7b-32768，gemma-7b-it
@@ -0,0 +1,5 @@
+llm:
+  api_type: "ark"  
+  model: ""  # your model endpoint like ep-xxx
+  base_url: "https://ark.cn-beijing.volces.com/api/v3"  
+  api_key: "" # your api-key like ey……
@@ -0,0 +1,6 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates
+llm:
+  api_type: llama_api
+  base_url: "https://api.llama.com/compat/v1/"
+  api_key: "YOUR_API_KEY"
+  model: "Llama-3.3-70B-Instruct"
@@ -0,0 +1,6 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates
+llm:
+  api_type: llama_api
+  base_url: "https://api.llama.com/compat/v1/"
+  api_key: "YOUR_API_KEY"
+  model: "Llama-3.3-8B-Instruct"
@@ -0,0 +1,6 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates
+llm:
+  api_type: llama_api
+  base_url: "https://api.llama.com/compat/v1/"
+  api_key: "YOUR_API_KEY"
+  model: "Llama-4-Scout-17B-16E-Instruct-FP8"
@@ -0,0 +1,6 @@
+# Copyright (c) Meta Platforms, Inc. and affiliates
+llm:
+  api_type: llama_api
+  base_url: "https://api.llama.com/compat/v1/"
+  api_key: "YOUR_API_KEY"
+  model: "Llama-4-Maverick-17B-128E-Instruct-FP8"
@@ -0,0 +1,5 @@
+llm:
+  api_key: "YOUR_API_KEY"
+  model: "gpt-3.5-turbo"
+  #proxy: "http://<ip>:<port>"
+  #base_url: "https://<forward_url>/v1"
@@ -0,0 +1,6 @@
+llm:
+  api_key: "YOUR_API_KEY"
+  model: "gpt-4-turbo"
+  #proxy: "http://<ip>:<port>"
+  #base_url: "https://<forward_url>/v1"
+
@@ -0,0 +1,5 @@
+llm:
+  api_type: openrouter
+  base_url: "https://openrouter.ai/api/v1"
+  api_key: "YOUR_API_KEY"
+  model: meta-llama/llama-3-70b-instruct
@@ -0,0 +1,10 @@
+# 适用于讯飞星火的spark-lite 参考 https://www.xfyun.cn/doc/spark/Web.html#_2-function-call%E8%AF%B4%E6%98%8E
+
+llm:
+  api_type: "spark"
+  # 对应模型的url 参考 https://www.xfyun.cn/doc/spark/Web.html#_1-%E6%8E%A5%E5%8F%A3%E8%AF%B4%E6%98%8E
+  base_url: "ws(s)://spark-api.xf-yun.com/v1.1/chat" 
+  app_id: ""
+  api_key: ""
+  api_secret: ""
+  domain: "general" # 取值为 [general,generalv2,generalv3,generalv3.5] 和url一一对应
@@ -0,0 +1,4 @@
+{
+  "executablePath": "/usr/bin/chromium",
+  "args": ["--no-sandbox"]
+}
@@ -0,0 +1,48 @@
+# Usage:
+# 1. Get value.
+# >>> from metagpt.tools.libs.env import get_env
+# >>> access_token = await get_env(key="access_token", app_name="github")
+# >>> print(access_token)
+# YOUR_ACCESS_TOKEN
+#
+# 2. Get description for LLM understanding.
+# >>> from metagpt.tools.libs.env import get_env_description
+# >>> descriptions = await get_env_description
+# >>> for k, desc in descriptions.items():
+# >>>     print(f"{key}:{desc}")
+# await get_env(key="access_token", app_name="github"):Get github access token
+# await get_env(key="access_token", app_name="gitlab"):Get gitlab access token
+# ...
+
+vault:
+  github:
+    values:
+      access_token: "YOUR_ACCESS_TOKEN"
+    descriptions:
+      access_token: "Get github access token"
+  gitlab:
+    values:
+      access_token: "YOUR_ACCESS_TOKEN"
+    descriptions:
+      access_token: "Get gitlab access token"
+  iflytek_tts:
+    values:
+      api_id: "YOUR_APP_ID"
+      api_key: "YOUR_API_KEY"
+      api_secret: "YOUR_API_SECRET"
+    descriptions:
+      api_id: "Get the API ID of IFlyTek Text to Speech"
+      api_key: "Get the API KEY of IFlyTek Text to Speech"
+      api_secret: "Get the API SECRET of IFlyTek Text to Speech"
+  azure_tts:
+    values:
+      subscription_key: "YOUR_SUBSCRIPTION_KEY"
+      region: "YOUR_REGION"
+    descriptions:
+      subscription_key: "Get the subscription key of Azure Text to Speech."
+      region: "Get the region of Azure Text to Speech."
+  default: # All key-value pairs whose app name is an empty string are placed below
+    values:
+      proxy: "YOUR_PROXY"
+    descriptions:
+      proxy: "Get proxy for tools like requests, playwright, selenium, etc."
@@ -0,0 +1,9 @@
+role:
+  name: Teacher  # Referenced the `Teacher` in `metagpt/roles/teacher.py`.
+  module: metagpt.roles.teacher  # Referenced `metagpt/roles/teacher.py`.
+  skills:  # Refer to the skill `name` of the published skill in `docs/.well-known/skills.yaml`.
+    - name: text_to_speech
+      description: Text-to-speech
+    - name: text_to_image
+      description: Create a drawing based on the text.
+
@@ -0,0 +1,639 @@
+[MAIN]
+
+# Analyse import fallback blocks. This can be used to support both Python 2 and
+# 3 compatible code, which means that the block might have code that exists
+# only in one or another interpreter, leading to false positives when analysed.
+analyse-fallback-blocks=no
+
+# Clear in-memory caches upon conclusion of linting. Useful if running pylint
+# in a server-like mode.
+clear-cache-post-run=no
+
+# Load and enable all available extensions. Use --list-extensions to see a list
+# all available extensions.
+#enable-all-extensions=
+
+# In error mode, messages with a category besides ERROR or FATAL are
+# suppressed, and no reports are done by default. Error mode is compatible with
+# disabling specific errors.
+#errors-only=
+
+# Always return a 0 (non-error) status code, even if lint errors are found.
+# This is primarily useful in continuous integration scripts.
+#exit-zero=
+
+# A comma-separated list of package or module names from where C extensions may
+# be loaded. Extensions are loading into the active Python interpreter and may
+# run arbitrary code.
+extension-pkg-allow-list=
+
+# A comma-separated list of package or module names from where C extensions may
+# be loaded. Extensions are loading into the active Python interpreter and may
+# run arbitrary code. (This is an alternative name to extension-pkg-allow-list
+# for backward compatibility.)
+extension-pkg-whitelist=pydantic
+
+# Return non-zero exit code if any of these messages/categories are detected,
+# even if score is above --fail-under value. Syntax same as enable. Messages
+# specified are enabled, while categories only check already-enabled messages.
+fail-on=
+
+# Specify a score threshold under which the program will exit with error.
+fail-under=10
+
+# Interpret the stdin as a python script, whose filename needs to be passed as
+# the module_or_package argument.
+#from-stdin=
+
+# Files or directories to be skipped. They should be base names, not paths.
+ignore=CVS
+
+# Add files or directories matching the regular expressions patterns to the
+# ignore-list. The regex matches against paths and can be in Posix or Windows
+# format. Because '\\' represents the directory delimiter on Windows systems,
+# it can't be used as an escape character.
+ignore-paths=
+
+# Files or directories matching the regular expression patterns are skipped.
+# The regex matches against base names, not paths. The default value ignores
+# Emacs file locks
+#ignore-patterns=^\.#
+ignore-patterns=(.)*_test\.py,test_(.)*\.py
+
+
+# List of module names for which member attributes should not be checked
+# (useful for modules/projects where namespaces are manipulated during runtime
+# and thus existing member attributes cannot be deduced by static analysis). It
+# supports qualified module names, as well as Unix pattern matching.
+ignored-modules=
+
+# Python code to execute, usually for sys.path manipulation such as
+# pygtk.require().
+#init-hook=
+
+# Use multiple processes to speed up Pylint. Specifying 0 will auto-detect the
+# number of processors available to use, and will cap the count on Windows to
+# avoid hangs.
+jobs=1
+
+# Control the amount of potential inferred values when inferring a single
+# object. This can help the performance when dealing with large functions or
+# complex, nested conditions.
+limit-inference-results=120
+
+# List of plugins (as comma separated values of python module names) to load,
+# usually to register additional checkers.
+load-plugins=
+
+# Pickle collected data for later comparisons.
+persistent=yes
+
+# Minimum Python version to use for version dependent checks. Will default to
+# the version used to run pylint.
+py-version=3.9
+
+# Discover python modules and packages in the file system subtree.
+recursive=no
+
+# Add paths to the list of the source roots. Supports globbing patterns. The
+# source root is an absolute path or a path relative to the current working
+# directory used to determine a package namespace for modules located under the
+# source root.
+source-roots=
+
+# When enabled, pylint would attempt to guess common misconfiguration and emit
+# user-friendly hints instead of false-positive error messages.
+suggestion-mode=yes
+
+# Allow loading of arbitrary C extensions. Extensions are imported into the
+# active Python interpreter and may run arbitrary code.
+unsafe-load-any-extension=no
+
+# In verbose mode, extra non-checker-related info will be displayed.
+#verbose=
+
+
+[BASIC]
+
+# Naming style matching correct argument names.
+argument-naming-style=snake_case
+
+# Regular expression matching correct argument names. Overrides argument-
+# naming-style. If left empty, argument names will be checked with the set
+# naming style.
+#argument-rgx=
+
+# Naming style matching correct attribute names.
+attr-naming-style=snake_case
+
+# Regular expression matching correct attribute names. Overrides attr-naming-
+# style. If left empty, attribute names will be checked with the set naming
+# style.
+#attr-rgx=
+
+# Bad variable names which should always be refused, separated by a comma.
+bad-names=foo,
+          bar,
+          baz,
+          toto,
+          tutu,
+          tata
+
+# Bad variable names regexes, separated by a comma. If names match any regex,
+# they will always be refused
+bad-names-rgxs=
+
+# Naming style matching correct class attribute names.
+class-attribute-naming-style=any
+
+# Regular expression matching correct class attribute names. Overrides class-
+# attribute-naming-style. If left empty, class attribute names will be checked
+# with the set naming style.
+#class-attribute-rgx=
+
+# Naming style matching correct class constant names.
+class-const-naming-style=UPPER_CASE
+
+# Regular expression matching correct class constant names. Overrides class-
+# const-naming-style. If left empty, class constant names will be checked with
+# the set naming style.
+#class-const-rgx=
+
+# Naming style matching correct class names.
+class-naming-style=PascalCase
+
+# Regular expression matching correct class names. Overrides class-naming-
+# style. If left empty, class names will be checked with the set naming style.
+#class-rgx=
+
+# Naming style matching correct constant names.
+const-naming-style=UPPER_CASE
+
+# Regular expression matching correct constant names. Overrides const-naming-
+# style. If left empty, constant names will be checked with the set naming
+# style.
+#const-rgx=
+
+# Minimum line length for functions/classes that require docstrings, shorter
+# ones are exempt.
+docstring-min-length=-1
+
+# Naming style matching correct function names.
+function-naming-style=snake_case
+
+# Regular expression matching correct function names. Overrides function-
+# naming-style. If left empty, function names will be checked with the set
+# naming style.
+#function-rgx=
+
+# Good variable names which should always be accepted, separated by a comma.
+good-names=i,
+           j,
+           k,
+           v,
+           e,
+           d,
+           m,
+           df,
+           ex,
+           Run,
+           _
+
+# Good variable names regexes, separated by a comma. If names match any regex,
+# they will always be accepted
+good-names-rgxs=
+
+# Include a hint for the correct naming format with invalid-name.
+include-naming-hint=no
+
+# Naming style matching correct inline iteration names.
+inlinevar-naming-style=any
+
+# Regular expression matching correct inline iteration names. Overrides
+# inlinevar-naming-style. If left empty, inline iteration names will be checked
+# with the set naming style.
+#inlinevar-rgx=
+
+# Naming style matching correct method names.
+method-naming-style=snake_case
+
+# Regular expression matching correct method names. Overrides method-naming-
+# style. If left empty, method names will be checked with the set naming style.
+#method-rgx=
+
+# Naming style matching correct module names.
+module-naming-style=snake_case
+
+# Regular expression matching correct module names. Overrides module-naming-
+# style. If left empty, module names will be checked with the set naming style.
+#module-rgx=
+
+# Colon-delimited sets of names that determine each other's naming style when
+# the name regexes allow several styles.
+name-group=
+
+# Regular expression which should only match function or class names that do
+# not require a docstring.
+no-docstring-rgx=^_
+
+# List of decorators that produce properties, such as abc.abstractproperty. Add
+# to this list to register other decorators that produce valid properties.
+# These decorators are taken in consideration only for invalid-name.
+property-classes=abc.abstractproperty
+
+# Regular expression matching correct type alias names. If left empty, type
+# alias names will be checked with the set naming style.
+#typealias-rgx=
+
+# Regular expression matching correct type variable names. If left empty, type
+# variable names will be checked with the set naming style.
+#typevar-rgx=
+
+# Naming style matching correct variable names.
+variable-naming-style=snake_case
+
+# Regular expression matching correct variable names. Overrides variable-
+# naming-style. If left empty, variable names will be checked with the set
+# naming style.
+#variable-rgx=
+
+
+[CLASSES]
+
+# Warn about protected attribute access inside special methods
+check-protected-access-in-special-methods=no
+
+# List of method names used to declare (i.e. assign) instance attributes.
+defining-attr-methods=__init__,
+                      __new__,
+                      setUp,
+                      __post_init__
+
+# List of member names, which should be excluded from the protected access
+# warning.
+exclude-protected=_asdict,_fields,_replace,_source,_make,os._exit
+
+# List of valid names for the first argument in a class method.
+valid-classmethod-first-arg=cls
+
+# List of valid names for the first argument in a metaclass class method.
+valid-metaclass-classmethod-first-arg=mcs
+
+
+[DESIGN]
+
+# List of regular expressions of class ancestor names to ignore when counting
+# public methods (see R0903)
+exclude-too-few-public-methods=
+
+# List of qualified class names to ignore when counting class parents (see
+# R0901)
+ignored-parents=
+
+# Maximum number of arguments for function / method.
+max-args=5
+
+# Maximum number of attributes for a class (see R0902).
+max-attributes=7
+
+# Maximum number of boolean expressions in an if statement (see R0916).
+max-bool-expr=5
+
+# Maximum number of branch for function / method body.
+max-branches=12
+
+# Maximum number of locals for function / method body.
+max-locals=15
+
+# Maximum number of parents for a class (see R0901).
+max-parents=7
+
+# Maximum number of public methods for a class (see R0904).
+max-public-methods=20
+
+# Maximum number of return / yield for function / method body.
+max-returns=6
+
+# Maximum number of statements in function / method body.
+max-statements=50
+
+# Minimum number of public methods for a class (see R0903).
+min-public-methods=2
+
+
+[EXCEPTIONS]
+
+# Exceptions that will emit a warning when caught.
+overgeneral-exceptions=builtins.BaseException,builtins.Exception
+
+
+[FORMAT]
+
+# Expected format of line ending, e.g. empty (any line ending), LF or CRLF.
+expected-line-ending-format=
+
+# Regexp for a line that is allowed to be longer than the limit.
+ignore-long-lines=^\s*(# )?<?https?://\S+>?$
+
+# Number of spaces of indent required inside a hanging or continued line.
+indent-after-paren=4
+
+# String used as indentation unit. This is usually "    " (4 spaces) or "\t" (1
+# tab).
+indent-string='    '
+
+# Maximum number of characters on a single line.
+max-line-length=120
+
+# Maximum number of lines in a module.
+max-module-lines=1000
+
+# Allow the body of a class to be on the same line as the declaration if body
+# contains single statement.
+single-line-class-stmt=no
+
+# Allow the body of an if to be on the same line as the test if there is no
+# else.
+single-line-if-stmt=no
+
+
+[IMPORTS]
+
+# List of modules that can be imported at any level, not just the top level
+# one.
+allow-any-import-level=
+
+# Allow explicit reexports by alias from a package __init__.
+allow-reexport-from-package=no
+
+# Allow wildcard imports from modules that define __all__.
+allow-wildcard-with-all=no
+
+# Deprecated modules which should not be used, separated by a comma.
+deprecated-modules=
+
+# Output a graph (.gv or any supported image format) of external dependencies
+# to the given file (report RP0402 must not be disabled).
+ext-import-graph=
+
+# Output a graph (.gv or any supported image format) of all (i.e. internal and
+# external) dependencies to the given file (report RP0402 must not be
+# disabled).
+import-graph=
+
+# Output a graph (.gv or any supported image format) of internal dependencies
+# to the given file (report RP0402 must not be disabled).
+int-import-graph=
+
+# Force import order to recognize a module as part of the standard
+# compatibility libraries.
+known-standard-library=
+
+# Force import order to recognize a module as part of a third party library.
+known-third-party=enchant
+
+# Couples of modules and preferred modules, separated by a comma.
+preferred-modules=
+
+
+[LOGGING]
+
+# The type of string formatting that logging methods do. `old` means using %
+# formatting, `new` is for `{}` formatting.
+logging-format-style=old
+
+# Logging modules to check that the string format arguments are in logging
+# function parameter format.
+logging-modules=logging
+
+
+[MESSAGES CONTROL]
+
+# Only show warnings with the listed confidence levels. Leave empty to show
+# all. Valid levels: HIGH, CONTROL_FLOW, INFERENCE, INFERENCE_FAILURE,
+# UNDEFINED.
+confidence=HIGH,
+           CONTROL_FLOW,
+           INFERENCE,
+           INFERENCE_FAILURE,
+           UNDEFINED
+
+# Disable the message, report, category or checker with the given id(s). You
+# can either give multiple identifiers separated by comma (,) or put this
+# option multiple times (only on the command line, not in the configuration
+# file where it should appear only once). You can also use "--disable=all" to
+# disable everything first and then re-enable specific checks. For example, if
+# you want to run only the similarities checker, you can use "--disable=all
+# --enable=similarities". If you want to run only the classes checker, but have
+# no Warning level messages displayed, use "--disable=all --enable=classes
+# --disable=W".
+disable=raw-checker-failed,
+        bad-inline-option,
+        locally-disabled,
+        file-ignored,
+        suppressed-message,
+        useless-suppression,
+        deprecated-pragma,
+        use-symbolic-message-instead,
+	expression-not-assigned,
+	pointless-statement
+
+# Enable the message, report, category or checker with the given id(s). You can
+# either give multiple identifier separated by comma (,) or put this option
+# multiple time (only on the command line, not in the configuration file where
+# it should appear only once). See also the "--disable" option for examples.
+enable=c-extension-no-member
+
+
+[METHOD_ARGS]
+
+# List of qualified names (i.e., library.method) which require a timeout
+# parameter e.g. 'requests.api.get,requests.api.post'
+timeout-methods=requests.api.delete,requests.api.get,requests.api.head,requests.api.options,requests.api.patch,requests.api.post,requests.api.put,requests.api.request
+
+
+[MISCELLANEOUS]
+
+# List of note tags to take in consideration, separated by a comma.
+notes=FIXME,
+      XXX,
+      TODO
+
+# Regular expression of note tags to take in consideration.
+notes-rgx=
+
+
+[REFACTORING]
+
+# Maximum number of nested blocks for function / method body
+max-nested-blocks=5
+
+# Complete name of functions that never returns. When checking for
+# inconsistent-return-statements if a never returning function is called then
+# it will be considered as an explicit return statement and no message will be
+# printed.
+never-returning-functions=sys.exit,argparse.parse_error
+
+
+[REPORTS]
+
+# Python expression which should return a score less than or equal to 10. You
+# have access to the variables 'fatal', 'error', 'warning', 'refactor',
+# 'convention', and 'info' which contain the number of messages in each
+# category, as well as 'statement' which is the total number of statements
+# analyzed. This score is used by the global evaluation report (RP0004).
+evaluation=max(0, 0 if fatal else 10.0 - ((float(5 * error + warning + refactor + convention) / statement) * 10))
+
+# Template used to display messages. This is a python new-style format string
+# used to format the message information. See doc for all details.
+msg-template=
+
+# Set the output format. Available formats are text, parseable, colorized, json
+# and msvs (visual studio). You can also give a reporter class, e.g.
+# mypackage.mymodule.MyReporterClass.
+#output-format=
+
+# Tells whether to display a full report or only the messages.
+reports=no
+
+# Activate the evaluation score.
+score=yes
+
+
+[SIMILARITIES]
+
+# Comments are removed from the similarity computation
+ignore-comments=yes
+
+# Docstrings are removed from the similarity computation
+ignore-docstrings=yes
+
+# Imports are removed from the similarity computation
+ignore-imports=yes
+
+# Signatures are removed from the similarity computation
+ignore-signatures=yes
+
+# Minimum lines number of a similarity.
+min-similarity-lines=4
+
+
+[SPELLING]
+
+# Limits count of emitted suggestions for spelling mistakes.
+max-spelling-suggestions=4
+
+# Spelling dictionary name. No available dictionaries : You need to install
+# both the python package and the system dependency for enchant to work..
+spelling-dict=
+
+# List of comma separated words that should be considered directives if they
+# appear at the beginning of a comment and should not be checked.
+spelling-ignore-comment-directives=fmt: on,fmt: off,noqa:,noqa,nosec,isort:skip,mypy:
+
+# List of comma separated words that should not be checked.
+spelling-ignore-words=
+
+# A path to a file that contains the private dictionary; one word per line.
+spelling-private-dict-file=
+
+# Tells whether to store unknown words to the private dictionary (see the
+# --spelling-private-dict-file option) instead of raising a message.
+spelling-store-unknown-words=no
+
+
+[STRING]
+
+# This flag controls whether inconsistent-quotes generates a warning when the
+# character used as a quote delimiter is used inconsistently within a module.
+check-quote-consistency=no
+
+# This flag controls whether the implicit-str-concat should generate a warning
+# on implicit string concatenation in sequences defined over several lines.
+check-str-concat-over-line-jumps=no
+
+
+[TYPECHECK]
+
+# List of decorators that produce context managers, such as
+# contextlib.contextmanager. Add to this list to register other decorators that
+# produce valid context managers.
+contextmanager-decorators=contextlib.contextmanager
+
+# List of members which are set dynamically and missed by pylint inference
+# system, and so shouldn't trigger E1101 when accessed. Python regular
+# expressions are accepted.
+generated-members=
+
+# Tells whether to warn about missing members when the owner of the attribute
+# is inferred to be None.
+ignore-none=yes
+
+# This flag controls whether pylint should warn about no-member and similar
+# checks whenever an opaque object is returned when inferring. The inference
+# can return multiple potential results while evaluating a Python object, but
+# some branches might not be evaluated, which results in partial inference. In
+# that case, it might be useful to still emit no-member and other checks for
+# the rest of the inferred objects.
+ignore-on-opaque-inference=yes
+
+# List of symbolic message names to ignore for Mixin members.
+ignored-checks-for-mixins=no-member,
+                          not-async-context-manager,
+                          not-context-manager,
+                          attribute-defined-outside-init
+
+# List of class names for which member attributes should not be checked (useful
+# for classes with dynamically set attributes). This supports the use of
+# qualified names.
+ignored-classes=optparse.Values,thread._local,_thread._local,argparse.Namespace
+
+# Show a hint with possible names when a member name was not found. The aspect
+# of finding the hint is based on edit distance.
+missing-member-hint=yes
+
+# The minimum edit distance a name should have in order to be considered a
+# similar match for a missing member name.
+missing-member-hint-distance=1
+
+# The total number of similar names that should be taken in consideration when
+# showing a hint for a missing member.
+missing-member-max-choices=1
+
+# Regex pattern to define which classes are considered mixins.
+mixin-class-rgx=.*[Mm]ixin
+
+# List of decorators that change the signature of a decorated function.
+signature-mutators=
+
+
+[VARIABLES]
+
+# List of additional names supposed to be defined in builtins. Remember that
+# you should avoid defining new builtins when possible.
+additional-builtins=
+
+# Tells whether unused global variables should be treated as a violation.
+allow-global-unused-variables=yes
+
+# List of names allowed to shadow builtins
+allowed-redefined-builtins=
+
+# List of strings which can identify a callback function by name. A callback
+# name must start or end with one of those strings.
+callbacks=cb_,
+          _cb
+
+# A regular expression matching the name of dummy variables (i.e. expected to
+# not be used).
+dummy-variables-rgx=_+$|(_[a-zA-Z0-9_]*[a-zA-Z0-9]+?$)|dummy|^ignored_|^unused_
+
+# Argument names that match this expression will be ignored.
+ignored-argument-names=_.*|^ignored_|^unused_
+
+# Tells whether we should check for unused import in __init__ files.
+init-import=no
+
+# List of qualified module names which can have objects that can redefine
+# builtins.
+redefining-builtins-modules=six.moves,past.builtins,future.builtins,builtins,io
@@ -0,0 +1,18 @@
+{
+  "schema_version": "v1",
+  "name_for_model": "text processing tools",
+  "name_for_human": "MetaGPT Text Plugin",
+  "description_for_model": "Plugins for text processing, including text-to-speech, text-to-image, text-to-embedding, text summarization, text-to-code, vector similarity calculation, web content crawling, and more.",
+  "description_for_human": "Plugins for text processing, including text-to-speech, text-to-image, text-to-embedding, text summarization, text-to-code, vector similarity calculation, web content crawling, and more.",
+  "auth": {
+    "type": "none"
+  },
+  "api": {
+    "type": "openapi",
+    "url": "https://github.com/iorisa/MetaGPT/blob/feature/assistant_role/.well-known/metagpt_oas3_api.yaml",
+    "has_user_authentication": false
+  },
+  "logo_url": "https://github.com/geekan/MetaGPT/blob/main/docs/resources/MetaGPT-logo.png",
+  "contact_email": "mashenquan@fuzhi.cn",
+  "legal_info_url": "https://github.com/geekan/MetaGPT/blob/main/docs/README_CN.md"
+}
@@ -0,0 +1,338 @@
+openapi: "3.0.0"
+
+info:
+  title: "MetaGPT Export OpenAPIs"
+  version: "1.0"
+servers:
+  - url: "/oas3"
+    variables:
+      port:
+        default: '8080'
+        description: HTTP service port
+
+paths:
+  /tts/azsure:
+    x-prerequisite:
+      configurations:
+        azure_tts_subscription_key:
+          type: string
+          description: "For more details, check out: [Azure Text-to_Speech](https://learn.microsoft.com/en-us/azure/ai-services/speech-service/language-support?tabs=tts)"
+        azure_tts_region:
+          type: string
+          description: "For more details, check out: [Azure Text-to_Speech](https://learn.microsoft.com/en-us/azure/ai-services/speech-service/language-support?tabs=tts)"
+      required:
+        allOf:
+          - azure_tts_subscription_key
+          - azure_tts_region
+    post:
+      summary: "Convert Text to Base64-encoded .wav File Stream"
+      description: "For more details, check out: [Azure Text-to_Speech](https://learn.microsoft.com/en-us/azure/ai-services/speech-service/language-support?tabs=tts)"
+      operationId: azure_tts.oas3_azsure_tts
+      requestBody:
+        required: true
+        content:
+          application/json:
+            schema:
+              type: object
+              required:
+                - text
+              properties:
+                text:
+                  type: string
+                  description: Text to convert
+                lang:
+                  type: string
+                  description: The language code or locale, e.g., en-US (English - United States)
+                  default: "zh-CN"
+                voice:
+                  type: string
+                  description: "Voice style, see: [Azure Text-to_Speech](https://learn.microsoft.com/en-us/azure/ai-services/speech-service/language-support?tabs=tts), [Voice Gallery](https://speech.microsoft.com/portal/voicegallery)"
+                  default: "zh-CN-XiaomoNeural"
+                style:
+                  type: string
+                  description: "Speaking style to express different emotions. For more details, checkout: [Azure Text-to_Speech](https://learn.microsoft.com/en-us/azure/ai-services/speech-service/language-support?tabs=tts)"
+                  default: "affectionate"
+                role:
+                  type: string
+                  description: "Role to specify age and gender. For more details, checkout: [Azure Text-to_Speech](https://learn.microsoft.com/en-us/azure/ai-services/speech-service/language-support?tabs=tts)"
+                  default: "Girl"
+                subscription_key:
+                  type: string
+                  description: "Key used to access Azure AI service API, see: [Azure Portal](https://portal.azure.com/) > `Resource Management` > `Keys and Endpoint`"
+                  default: ""
+                region:
+                  type: string
+                  description: "Location (or region) of your resource, see: [Azure Portal](https://portal.azure.com/) > `Resource Management` > `Keys and Endpoint`"
+                  default: ""
+      responses:
+        '200':
+          description: "Base64-encoded .wav file data if successful, otherwise an empty string."
+          content:
+            application/json:
+              schema:
+                type: object
+                properties:
+                  wav_data:
+                    type: string
+                    format: base64
+        '400':
+          description: "Bad Request"
+        '500':
+          description: "Internal Server Error"
+
+  /tts/iflytek:
+    x-prerequisite:
+      configurations:
+        IFLYTEK_APP_ID:
+          type: string
+          description: "Application ID is used to access your iFlyTek service API, see: `https://console.xfyun.cn/services/tts`"
+        IFLYTEK_API_KEY:
+          type: string
+          description: "WebAPI argument, see: `https://console.xfyun.cn/services/tts`"
+        IFLYTEK_API_SECRET:
+          type: string
+          description: "WebAPI argument, see: `https://console.xfyun.cn/services/tts`"
+      required:
+        allOf:
+          - iflytek_app_id
+          - iflytek_api_key
+          - iflytek_api_secret
+    post:
+      summary: "Convert Text to Base64-encoded .mp3 File Stream"
+      description: "For more details, check out: [iFlyTek](https://console.xfyun.cn/services/tts)"
+      operationId: iflytek_tts.oas3_iflytek_tts
+      requestBody:
+        required: true
+        content:
+          application/json:
+            schema:
+              type: object
+              required:
+                - text
+              properties:
+                text:
+                  type: string
+                  description: Text to convert
+                voice:
+                  type: string
+                  description: "Voice style, see: [iFlyTek Text-to_Speech](https://www.xfyun.cn/doc/tts/online_tts/API.html#%E6%8E%A5%E5%8F%A3%E8%B0%83%E7%94%A8%E6%B5%81%E7%A8%8B)"
+                  default: "xiaoyan"
+                app_id:
+                  type: string
+                  description: "Application ID is used to access your iFlyTek service API, see: `https://console.xfyun.cn/services/tts`"
+                  default: ""
+                api_key:
+                  type: string
+                  description: "WebAPI argument, see: `https://console.xfyun.cn/services/tts`"
+                  default: ""
+                api_secret:
+                  type: string
+                  description: "WebAPI argument, see: `https://console.xfyun.cn/services/tts`"
+                  default: ""
+      responses:
+        '200':
+          description: "Base64-encoded .mp3 file data if successful, otherwise an empty string."
+          content:
+            application/json:
+              schema:
+                type: object
+                properties:
+                  wav_data:
+                    type: string
+                    format: base64
+        '400':
+          description: "Bad Request"
+        '500':
+          description: "Internal Server Error"
+
+
+  /txt2img/openai:
+    x-prerequisite:
+      configurations:
+        OPENAI_API_KEY:
+          type: string
+          description: "OpenAI API key, For more details, checkout: `https://platform.openai.com/account/api-keys`"
+      required:
+        allOf:
+          - OPENAI_API_KEY
+    post:
+      summary: "Convert Text to Base64-encoded Image Data Stream"
+      operationId: openai_text_to_image.oas3_openai_text_to_image
+      requestBody:
+        required: true
+        content:
+          application/json:
+            schema:
+              type: object
+              properties:
+                text:
+                  type: string
+                  description: "The text used for image conversion."
+                size_type:
+                  type: string
+                  enum: ["256x256", "512x512", "1024x1024"]
+                  default: "1024x1024"
+                  description: "Size of the generated image."
+                openai_api_key:
+                  type: string
+                  default: ""
+                  description: "OpenAI API key, For more details, checkout: `https://platform.openai.com/account/api-keys`"
+      responses:
+        '200':
+          description: "Base64-encoded image data."
+          content:
+            application/json:
+              schema:
+                type: object
+                properties:
+                  image_data:
+                    type: string
+                    format: base64
+        '400':
+          description: "Bad Request"
+        '500':
+          description: "Internal Server Error"
+  /txt2embedding/openai:
+    x-prerequisite:
+      configurations:
+        OPENAI_API_KEY:
+          type: string
+          description: "OpenAI API key, For more details, checkout: `https://platform.openai.com/account/api-keys`"
+      required:
+        allOf:
+          - OPENAI_API_KEY
+    post:
+      summary: Text to embedding
+      operationId: openai_text_to_embedding.oas3_openai_text_to_embedding
+      description: Retrieve an embedding for the provided text using the OpenAI API.
+      requestBody:
+        content:
+          application/json:
+            schema:
+              type: object
+              properties:
+                input:
+                  type: string
+                  description: The text used for embedding.
+                model:
+                  type: string
+                  description: "ID of the model to use. For more details, checkout: [models](https://api.openai.com/v1/models)"
+                  enum:
+                    - text-embedding-ada-002
+      responses:
+        "200":
+          description: Successful response
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/ResultEmbedding"
+        "4XX":
+          description: Client error
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/Error"
+        "5XX":
+          description: Server error
+          content:
+            application/json:
+              schema:
+                $ref: "#/components/schemas/Error"
+
+  /txt2image/metagpt:
+    x-prerequisite:
+      configurations:
+        metagpt_tti_url:
+          type: string
+          description: "Model url."
+      required:
+        allOf:
+          - metagpt_tti_url
+    post:
+      summary: "Text to Image"
+      description: "Generate an image from the provided text using the MetaGPT Text-to-Image API."
+      operationId: metagpt_text_to_image.oas3_metagpt_text_to_image
+      requestBody:
+        required: true
+        content:
+          application/json:
+            schema:
+              type: object
+              required:
+                - text
+              properties:
+                text:
+                  type: string
+                  description: "The text used for image conversion."
+                size_type:
+                  type: string
+                  enum: ["512x512", "512x768"]
+                  default: "512x512"
+                  description: "Size of the generated image."
+                model_url:
+                  type: string
+                  description: "Model reset API URL for text-to-image."
+                  default: ""
+      responses:
+        '200':
+          description: "Base64-encoded image data."
+          content:
+            application/json:
+              schema:
+                type: object
+                properties:
+                  image_data:
+                    type: string
+                    format: base64
+        '400':
+          description: "Bad Request"
+        '500':
+          description: "Internal Server Error"
+
+components:
+  schemas:
+    Embedding:
+      type: object
+      description: Represents an embedding vector returned by the embedding endpoint.
+      properties:
+        object:
+          type: string
+          example: embedding
+        embedding:
+          type: array
+          items:
+            type: number
+          example: [0.0023064255, -0.009327292, ...]
+        index:
+          type: integer
+          example: 0
+    Usage:
+      type: object
+      properties:
+        prompt_tokens:
+          type: integer
+          example: 8
+        total_tokens:
+          type: integer
+          example: 8
+    ResultEmbedding:
+      type: object
+      properties:
+        object:
+          type: string
+          example: result_embedding
+        data:
+          type: array
+          items:
+            $ref: "#/components/schemas/Embedding"
+        model:
+          type: string
+          example: text-embedding-ada-002
+        usage:
+          $ref: "#/components/schemas/Usage"
+    Error:
+      type: object
+      properties:
+        error:
+          type: string
+          example: An error occurred
@@ -0,0 +1,35 @@
+openapi: "3.0.0"
+
+info:
+  title: Hello World
+  version: "1.0"
+servers:
+  - url: /openapi
+
+paths:
+  /greeting/{name}:
+    post:
+      summary: Generate greeting
+      description: Generates a greeting message.
+      operationId: openapi_v3_hello.post_greeting
+      responses:
+        200:
+          description: greeting response
+          content:
+            text/plain:
+              schema:
+                type: string
+                example: "hello dave!"
+      parameters:
+        - name: name
+          in: path
+          description: Name of the person to greet.
+          required: true
+          schema:
+            type: string
+            example: "dave"
+      requestBody:
+        content:
+          application/json:
+            schema:
+              type: object
@@ -0,0 +1,161 @@
+skillapi: "0.1.0"
+
+info:
+  title: "Agent Skill Specification"
+  version: "1.0"
+
+entities:
+  Assistant:
+    summary: assistant
+    description: assistant
+    skills:
+      - name: text_to_speech
+        description: Generate a voice file from the input text, text-to-speech
+        id: text_to_speech.text_to_speech
+        x-prerequisite:
+          configurations:
+            azure_tts_subscription_key:
+              type: string
+              description: "For more details, check out: [Azure Text-to_Speech](https://learn.microsoft.com/en-us/azure/ai-services/speech-service/language-support?tabs=tts)"
+            azure_tts_region:
+              type: string
+              description: "For more details, check out: [Azure Text-to_Speech](https://learn.microsoft.com/en-us/azure/ai-services/speech-service/language-support?tabs=tts)"
+            IFLYTEK_APP_ID:
+              type: string
+              description: "Application ID is used to access your iFlyTek service API, see: `https://console.xfyun.cn/services/tts`"
+            IFLYTEK_API_KEY:
+              type: string
+              description: "WebAPI argument, see: `https://console.xfyun.cn/services/tts`"
+            IFLYTEK_API_SECRET:
+              type: string
+              description: "WebAPI argument, see: `https://console.xfyun.cn/services/tts`"
+          required:
+            oneOf:
+              - allOf:
+                - azure_tts_subscription_key
+                - azure_tts_region
+              - allOf:
+                - iflytek_app_id
+                - iflytek_api_key
+                - iflytek_api_secret
+        parameters:
+          text:
+            description: 'The text used for voice conversion.'
+            required: true
+            type: string
+          lang:
+            description: 'The value can contain a language code such as en (English), or a locale such as en-US (English - United States).'
+            type: string
+            enum:
+              - English
+              - Chinese
+            default: Chinese
+          voice:
+            description: Name of voice styles
+            type: string
+            default: zh-CN-XiaomoNeural
+          style:
+            type: string
+            description: Speaking style to express different emotions like cheerfulness, empathy, and calm.
+            enum:
+              - affectionate
+              - angry
+              - calm
+              - cheerful
+              - depressed
+              - disgruntled
+              - embarrassed
+              - envious
+              - fearful
+              - gentle
+              - sad
+              - serious
+            default: affectionate
+          role:
+            type: string
+            description: With roles, the same voice can act as a different age and gender.
+            enum:
+              - Girl
+              - Boy
+              - OlderAdultFemale
+              - OlderAdultMale
+              - SeniorFemale
+              - SeniorMale
+              - YoungAdultFemale
+              - YoungAdultMale
+            default: Girl
+        examples:
+           - ask: 'A girl says "hello world"'
+             answer: 'text_to_speech(text="hello world", role="Girl")'
+           - ask: 'A boy affectionate says "hello world"'
+             answer: 'text_to_speech(text="hello world", role="Boy", style="affectionate")'
+           - ask: 'A boy says "你好"'
+             answer: 'text_to_speech(text="你好", role="Boy", lang="Chinese")'
+        returns:
+          type: string
+          format: base64
+
+      - name: text_to_image
+        description: Create a drawing based on the text.
+        id: text_to_image.text_to_image
+        x-prerequisite:
+          configurations:
+            OPENAI_API_KEY:
+              type: string
+              description: "OpenAI API key, For more details, checkout: `https://platform.openai.com/account/api-keys`"
+            metagpt_tti_url:
+              type: string
+              description: "Model url."
+          required:
+            oneOf:
+              - OPENAI_API_KEY
+              - metagpt_tti_url
+        parameters:
+          text:
+            description: 'The text used for image conversion.'
+            type: string
+            required: true
+          size_type:
+            description: size type
+            type: string
+            default: "512x512"
+        examples:
+          - ask: 'Draw a girl'
+            answer: 'text_to_image(text="Draw a girl", size_type="512x512")'
+          - ask: 'Draw an apple'
+            answer: 'text_to_image(text="Draw an apple", size_type="512x512")'
+        returns:
+          type: string
+          format: base64
+
+      - name: web_search
+        description: Perform Google searches to provide real-time information.
+        id: web_search.web_search
+        x-prerequisite:
+          configurations:
+            SEARCH_ENGINE:
+              type: string
+              description: "Supported values: serpapi/google/serper/ddg"
+            SERPER_API_KEY:
+              type: string
+              description: "SERPER API KEY, For more details, checkout: `https://serper.dev/api-key`"
+          required:
+            allOf:
+              - SEARCH_ENGINE
+              - SERPER_API_KEY
+        parameters:
+          query:
+            type: string
+            description: 'The search query.'
+            required: true
+          max_results:
+            type: number
+            default: 6
+            description: 'The number of search results to retrieve.'
+        examples:
+          - ask: 'Search for information about artificial intelligence'
+            answer: 'web_search(query="Search for information about artificial intelligence", max_results=6)'
+          - ask: 'Find news articles about climate change'
+            answer: 'web_search(query="Find news articles about climate change", max_results=6)'
+        returns:
+          type: string
@@ -0,0 +1,60 @@
+```bibtex
+@inproceedings{hong2024metagpt,
+      title={Meta{GPT}: Meta Programming for A Multi-Agent Collaborative Framework},
+      author={Sirui Hong and Mingchen Zhuge and Jonathan Chen and Xiawu Zheng and Yuheng Cheng and Jinlin Wang and Ceyao Zhang and Zili Wang and Steven Ka Shing Yau and Zijuan Lin and Liyang Zhou and Chenyu Ran and Lingfeng Xiao and Chenglin Wu and J{\"u}rgen Schmidhuber},
+      booktitle={The Twelfth International Conference on Learning Representations},
+      year={2024},
+      url={https://openreview.net/forum?id=VtmBAGCN7o}
+}
+
+@misc{teng2025atom,
+      title={Atom of Thoughts for Markov LLM Test-Time Scaling}, 
+      author={Fengwei Teng and Zhaoyang Yu and Quan Shi and Jiayi Zhang and Chenglin Wu and Yuyu Luo},
+      year={2025},
+      eprint={2502.12018},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2502.12018}, 
+}
+@misc{xiang2025self,
+      title={Self-Supervised Prompt Optimization}, 
+      author={Jinyu Xiang and Jiayi Zhang and Zhaoyang Yu and Fengwei Teng and Jinhao Tu and Xinbing Liang and Sirui Hong and Chenglin Wu and Yuyu Luo},
+      year={2025},
+      eprint={2502.06855},
+      archivePrefix={arXiv},
+      primaryClass={cs.CL},
+      url={https://arxiv.org/abs/2502.06855}, 
+}
+@inproceedings{wang2025fact,
+      title={FACT: Examining the Effectiveness of Iterative Context Rewriting for Multi-fact Retrieval}, 
+      author={Jinlin Wang and Suyuchen Wang and Ziwen Xia and Sirui Hong and Yun Zhu and Bang Liu and Chenglin Wu},
+      booktitle={The 2025 Annual Conference of the Nations of the Americas Chapter of the ACL},
+      year={2025},
+      url={https://openreview.net/forum?id=VXOircx5h3}
+}
+@misc{chi2024sela,
+      title={SELA: Tree-Search Enhanced LLM Agents for Automated Machine Learning}, 
+      author={Yizhou Chi and Yizhang Lin and Sirui Hong and Duyi Pan and Yaying Fei and Guanghao Mei and Bangbang Liu and Tianqi Pang and Jacky Kwok and Ceyao Zhang and Bang Liu and Chenglin Wu},
+      year={2024},
+      eprint={2410.17238},
+      archivePrefix={arXiv},
+      primaryClass={cs.AI},
+      url={https://arxiv.org/abs/2410.17238}, 
+}
+@inproceedings{zhang2025aflow,
+      title={{AF}low: Automating Agentic Workflow Generation},
+      author={Jiayi Zhang and Jinyu Xiang and Zhaoyang Yu and Fengwei Teng and Xiong-Hui Chen and Jiaqi Chen and Mingchen Zhuge and Xin Cheng and Sirui Hong and Jinlin Wang and Bingnan Zheng and Bang Liu and Yuyu Luo and Chenglin Wu},
+      booktitle={The Thirteenth International Conference on Learning Representations},
+      year={2025},
+      url={https://openreview.net/forum?id=z5uVAKwmjf}
+}
+@misc{hong2024data,
+      title={Data Interpreter: An LLM Agent For Data Science}, 
+      author={Sirui Hong and Yizhang Lin and Bang Liu and Bangbang Liu and Binhao Wu and Danyang Li and Jiaqi Chen and Jiayi Zhang and Jinlin Wang and Li Zhang and Lingyao Zhang and Min Yang and Mingchen Zhuge and Taicheng Guo and Tuo Zhou and Wei Tao and Wenyi Wang and Xiangru Tang and Xiangtao Lu and Xiawu Zheng and Xinbing Liang and Yaying Fei and Yuheng Cheng and Zongze Xu and Chenglin Wu},
+      year={2024},
+      eprint={2402.18679},
+      archivePrefix={arXiv},
+      primaryClass={cs.AI},
+      url={https://arxiv.org/abs/2402.18679}, 
+}
+```
@@ -0,0 +1,93 @@
+Our vision is to [extend human life](https://github.com/geekan/HowToLiveLonger) and [reduce working hours](https://github.com/geekan/MetaGPT/).
+
+### Convenient Link for Sharing this Document:
+
+```
+- MetaGPT-Index/FAQ-EN https://github.com/geekan/MetaGPT/blob/main/docs/FAQ-EN.md
+- MetaGPT-Index/FAQ-CN https://deepwisdom.feishu.cn/wiki/MsGnwQBjiif9c3koSJNcYaoSnu4
+```
+
+### Link
+
+1.  Code：https://github.com/geekan/MetaGPT
+2.  Roadmap：https://github.com/geekan/MetaGPT/blob/main/docs/ROADMAP.md
+3.  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)
+    3. Author's thoughts video(EN): [MetaGPT Matthew Berman](https://youtu.be/uT75J_KG_aY?si=EgbfQNAwD8F5Y1Ak)
+4.  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)
+
+### 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.
+2.  Current contributors come from backgrounds including ByteDance AI Lab/DingDong/Didi/Xiaohongshu, Tencent/Baidu/MSRA/TikTok/BloomGPT Infra/Bilibili/CUHK/HKUST/CMU/UCB
+
+### Chief Evangelist (Monthly Rotation)
+
+MetaGPT Community - The position of Chief Evangelist rotates on a monthly basis. The primary responsibilities include:
+
+1.  Maintaining community FAQ documents, announcements, and Github resources/READMEs.
+2.  Responding to, answering, and distributing community questions within an average of 30 minutes, including on platforms like Github Issues, Discord and WeChat.
+3.  Upholding a community atmosphere that is enthusiastic, genuine, and friendly.
+4.  Encouraging everyone to become contributors and participate in projects that are closely related to achieving AGI (Artificial General Intelligence).
+5.  (Optional) Organizing small-scale events, such as hackathons.
+
+### FAQ
+
+1.  Code truncation/ Parsing failure:
+    1.  Check if it's due to exceeding length. Consider using the gpt-4-turbo or other long token versions.
+2.  Success rate:
+    1.  There hasn't been a quantitative analysis yet, but the success rate of code generated by gpt-4-turbo is significantly higher than that of gpt-3.5-turbo.
+3.  Support for incremental, differential updates (if you wish to continue a half-done task):
+    1.  There is now an experimental version. Specify `--inc --project-path "<path>"` or `--inc --project-name "<name>"` on the command line and enter the corresponding requirements to try it.
+4.  Can existing code be loaded?
+    1.  We are doing this, but it is very difficult, especially when the project is large, it is very difficult to achieve a high success rate.
+5.  Support for multiple programming languages and natural languages?
+    1.  It is now supported, but it is still in experimental version
+6.  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.
+7.  PRD stuck / unable to access/ connection interrupted
+    1.  The official openai base_url address is `https://api.openai.com/v1`
+    2.  If the official openai base_url address is inaccessible in your environment (this can be verified with curl), it's recommended to configure using base_url to other "reverse-proxy" provider such as openai-forward. For instance, `openai base_url: "``https://api.openai-forward.com/v1``"`
+    3.  If the official openai base_url address is inaccessible in your environment (again, verifiable via curl), another option is to configure the llm.proxy in the `config2.yaml`. This way, you can access the official openai base_url 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.
+    4.  Note: OpenAI's default API design ends with a v1. An example of the correct configuration is: `base_url: "https://api.openai.com/v1"
+8.  Get reply: "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
+9.  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.
+10.  How to change the investment amount?
+    1.  You can view all commands by typing `metagpt --help`
+11.  Which version of Python is more stable?
+    1.  python3.9 / python3.10
+12.  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.
+13.  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.
+14.  Under what circumstances would there typically be errors?
+    1.  More than 500 lines of code: some function implementations may be left blank.
+    2.  When using a database, it often gets the implementation wrong — since the SQL database initialization process is usually not in the code.
+    3.  With more lines of code, there's a higher chance of false impressions, leading to calls to non-existent APIs.
+15.  An error occurred during installation: "Another program is using this file...egg".
+    1.  Delete the file and try again.
+    2.  Or manually execute`pip install -r requirements.txt`
+16.  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.
+17.  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.
+    2.  If your free quota is used up, consider adding funds to your account.
+18.  What does "borg" mean in n_borg?
+    1.  [Wikipedia borg meaning ](https://en.wikipedia.org/wiki/Borg)
+    2.  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.
+19.  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
+20.  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.
+21.  `mermaid-cli getElementsByTagName SyntaxError: Unexpected token '.'`
+    1.  Upgrade node to version 14.x or above:
+        1.  `npm install -g n`
+        2.  `n stable` to install the stable version of node（v18.x）
@@ -0,0 +1,22 @@
+## Earlier news
+
+🚀 Oct. 29, 2024: We introduced three papers: [AFLOW](https://arxiv.org/abs/2410.10762), [FACT](https://arxiv.org/abs/2410.21012), and [SELA](https://arxiv.org/abs/2410.17238), check the [code](examples)!
+
+🚀 Mar. 29, 2024: [v0.8.0](https://github.com/geekan/MetaGPT/releases/tag/v0.8.0) released. Now you can use Data Interpreter ([arxiv](https://arxiv.org/abs/2402.18679), [example](https://docs.deepwisdom.ai/main/en/DataInterpreter/), [code](https://github.com/geekan/MetaGPT/tree/main/examples/di)) via pypi package import. Meanwhile, we integrated the RAG module and supported multiple new LLMs.
+
+🚀 Feb. 08, 2024: [v0.7.0](https://github.com/geekan/MetaGPT/releases/tag/v0.7.0) released, supporting assigning different LLMs to different Roles. We also introduced [Data Interpreter](https://github.com/geekan/MetaGPT/blob/main/examples/di/README.md), a powerful agent capable of solving a wide range of real-world problems.
+
+🚀 Jan. 16, 2024: Our paper [MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework
+](https://openreview.net/forum?id=VtmBAGCN7o) accepted for **oral presentation (top 1.2%)** at ICLR 2024, **ranking #1** in the LLM-based Agent category.
+
+🚀 Jan. 03, 2024: [v0.6.0](https://github.com/geekan/MetaGPT/releases/tag/v0.6.0) released, new features include serialization, upgraded OpenAI package and supported multiple LLM, provided [minimal example for debate](https://github.com/geekan/MetaGPT/blob/main/examples/debate_simple.py) etc.
+
+🚀 Dec. 15, 2023: [v0.5.0](https://github.com/geekan/MetaGPT/releases/tag/v0.5.0) released, introducing some experimental features such as incremental development, multilingual, multiple programming languages, etc.
+
+🔥 Nov. 08, 2023: MetaGPT is selected into [Open100: Top 100 Open Source achievements](https://www.benchcouncil.org/evaluation/opencs/annual.html).
+
+🔥 Sep. 01, 2023: MetaGPT tops GitHub Trending Monthly for the **17th time** in August 2023.
+
+🌟 Jun. 30, 2023: MetaGPT is now open source.
+
+🌟 Apr. 24, 2023: First line of MetaGPT code committed.
@@ -0,0 +1,131 @@
+# MetaGPT: 多智能体框架
+
+<p align="center">
+<a href=""><img src="resources/MetaGPT-new-log.png" alt="MetaGPT logo: 使 GPT 以软件公司的形式工作，协作处理更复杂的任务" width="150px"></a>
+</p>
+
+<p align="center">
+[ <a href="../README.md">En</a> |
+<b>中</b> |
+<a href="README_FR.md">Fr</a> |
+<a href="README_JA.md">日</a> ]
+<b>使 GPTs 组成软件公司，协作处理更复杂的任务</b>
+</p>
+
+<p align="center">
+<a href="https://opensource.org/licenses/MIT"><img src="https://img.shields.io/badge/License-MIT-blue.svg" alt="License: MIT"></a>
+<a href="https://discord.gg/DYn29wFk9z"><img src="https://dcbadge.vercel.app/api/server/DYn29wFk9z?style=flat" alt="Discord Follow"></a>
+<a href="https://twitter.com/MetaGPT_"><img src="https://img.shields.io/twitter/follow/MetaGPT?style=social" alt="Twitter Follow"></a>
+</p>
+
+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
+
+![一个完全由大语言模型角色构成的软件公司](resources/software_company_cd.jpeg)
+
+<p align="center">软件公司多角色示意图（正在逐步实现）</p>
+
+## 安装
+### Pip安装
+
+> 确保您的系统已安装 Python 3.9 或更高版本。您可以使用以下命令来检查：`python --version`。  
+> 您可以这样使用 conda：`conda create -n metagpt python=3.9 && conda activate metagpt`
+
+```bash
+pip install metagpt
+metagpt --init-config  # 创建 ~/.metagpt/config2.yaml，根据您的需求修改它
+metagpt "创建一个 2048 游戏"  # 这将在 ./workspace 创建一个仓库
+```
+
+或者您可以将其作为库使用
+
+```python
+from metagpt.software_company import generate_repo, ProjectRepo
+repo: ProjectRepo = generate_repo("创建一个 2048 游戏")  # 或 ProjectRepo("<路径>")
+print(repo)  # 它将打印出仓库结构及其文件
+```
+
+详细的安装请参考 [cli_install](https://docs.deepwisdom.ai/guide/get_started/installation.html#install-stable-version)
+
+### Docker安装
+> 注意：在Windows中，你需要将 "/opt/metagpt" 替换为Docker具有创建权限的目录，比如"D:\Users\x\metagpt"
+
+```bash
+# 步骤1: 下载metagpt官方镜像并准备好config2.yaml
+docker pull metagpt/metagpt:latest
+mkdir -p /opt/metagpt/{config,workspace}
+docker run --rm metagpt/metagpt:latest cat /app/metagpt/config/config2.yaml > /opt/metagpt/config/config2.yaml
+vim /opt/metagpt/config/config2.yaml # 修改配置文件
+
+# 步骤2: 使用容器运行metagpt演示
+docker run --rm \
+    --privileged \
+    -v /opt/metagpt/config/config2.yaml:/app/metagpt/config/config2.yaml \
+    -v /opt/metagpt/workspace:/app/metagpt/workspace \
+    metagpt/metagpt:latest \
+    metagpt "Write a cli snake game"
+```
+
+详细的安装请参考 [docker_install](https://docs.deepwisdom.ai/main/zh/guide/get_started/installation.html#%E4%BD%BF%E7%94%A8docker%E5%AE%89%E8%A3%85)
+
+### 快速开始的演示视频
+- 在 [MetaGPT Huggingface Space](https://huggingface.co/spaces/deepwisdom/MetaGPT-SoftwareCompany) 上进行体验
+- [Matthew Berman: How To Install MetaGPT - Build A Startup With One Prompt!!](https://youtu.be/uT75J_KG_aY)
+- [官方演示视频](https://github.com/geekan/MetaGPT/assets/2707039/5e8c1062-8c35-440f-bb20-2b0320f8d27d)
+
+https://github.com/user-attachments/assets/888cb169-78c3-4a42-9d62-9d90ed3928c9
+
+## 教程
+- 🗒 [在线文档](https://docs.deepwisdom.ai/main/zh/)
+- 💻 [如何使用](https://docs.deepwisdom.ai/main/zh/guide/get_started/quickstart.html)  
+- 🔎 [MetaGPT的能力及应用场景](https://docs.deepwisdom.ai/main/zh/guide/get_started/introduction.html)
+- 🛠 如何构建你自己的智能体？
+  - [MetaGPT的使用和开发教程 | 智能体入门](https://docs.deepwisdom.ai/main/zh/guide/tutorials/agent_101.html)
+  - [MetaGPT的使用和开发教程 | 多智能体入门](https://docs.deepwisdom.ai/main/zh/guide/tutorials/multi_agent_101.html)
+- 🧑‍💻 贡献
+  - [开发路线图](ROADMAP.md)
+- 🔖 示例
+  - [辩论](https://docs.deepwisdom.ai/main/zh/guide/use_cases/multi_agent/debate.html)
+  - [调研员](https://docs.deepwisdom.ai/main/zh/guide/use_cases/agent/researcher.html)
+  - [票据助手](https://docs.deepwisdom.ai/main/zh/guide/use_cases/agent/receipt_assistant.html)
+- ❓ [常见问题解答](https://docs.deepwisdom.ai/main/zh/guide/faq.html)
+
+## 支持
+
+### 加入我们
+
+📢 加入我们的[Discord频道](https://discord.gg/ZRHeExS6xv)！
+
+期待在那里与您相见！🎉
+
+### 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@deepwisdom.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。
+
+我们会在2-3个工作日内回复所有问题。
+
+## 引用
+
+如果您在研究论文中使用 MetaGPT 或 Data Interpreter，请引用我们的工作：
+
+```bibtex
+@inproceedings{hong2024metagpt,
+      title={Meta{GPT}: Meta Programming for A Multi-Agent Collaborative Framework},
+      author={Sirui Hong and Mingchen Zhuge and Jonathan Chen and Xiawu Zheng and Yuheng Cheng and Jinlin Wang and Ceyao Zhang and Zili Wang and Steven Ka Shing Yau and Zijuan Lin and Liyang Zhou and Chenyu Ran and Lingfeng Xiao and Chenglin Wu and J{\"u}rgen Schmidhuber},
+      booktitle={The Twelfth International Conference on Learning Representations},
+      year={2024},
+      url={https://openreview.net/forum?id=VtmBAGCN7o}
+}
+@misc{hong2024data,
+      title={Data Interpreter: An LLM Agent For Data Science}, 
+      author={Sirui Hong and Yizhang Lin and Bang Liu and Bangbang Liu and Binhao Wu and Danyang Li and Jiaqi Chen and Jiayi Zhang and Jinlin Wang and Li Zhang and Lingyao Zhang and Min Yang and Mingchen Zhuge and Taicheng Guo and Tuo Zhou and Wei Tao and Wenyi Wang and Xiangru Tang and Xiangtao Lu and Xiawu Zheng and Xinbing Liang and Yaying Fei and Yuheng Cheng and Zongze Xu and Chenglin Wu},
+      year={2024},
+      eprint={2402.18679},
+      archivePrefix={arXiv},
+      primaryClass={cs.AI}
+}
+```
@@ -0,0 +1,187 @@
+
+# MetaGPT: Architecture Multi-Agent
+
+<p align="center">
+<a href=""><img src="resources/MetaGPT-new-log.png" alt="Logo de MetaGPT : Permettre à GPT de travailler dans une entreprise de logiciels, en collaborant pour relever des tâches plus complexes." width="150px"></a>
+</p>
+
+<p align="center">
+[ <a href="../README.md">En</a> |
+<a href="README_CN.md">中</a> |
+<b>Fr</b> |
+<a href="README_JA.md">日</a> ]
+<b>Assigner différents rôles aux GPTs pour former une entité collaborative capable de gérer des tâches complexes.</b>
+</p> 
+
+<p align="center">
+<a href="https://opensource.org/licenses/MIT"><img src="https://img.shields.io/badge/License-MIT-blue.svg" alt="License: MIT"></a>
+<a href="https://discord.gg/DYn29wFk9z"><img src="https://dcbadge.vercel.app/api/server/DYn29wFk9z?style=flat" alt="Discord Follow"></a>
+<a href="https://twitter.com/MetaGPT_"><img src="https://img.shields.io/twitter/follow/MetaGPT?style=social" alt="Twitter Follow"></a>
+</p>
+
+## Nouveautés
+🚀 29 mars 2024:  La version [v0.8.0](https://github.com/geekan/MetaGPT/releases/tag/v0.8.0) a été publiée. Vous pouvez désormais utiliser le Data Interpreter ([arxiv](https://arxiv.org/abs/2402.18679), [example](https://docs.deepwisdom.ai/main/en/DataInterpreter/), [code](https://github.com/geekan/MetaGPT/tree/main/examples/di)) via l'importation du package PyPI. De plus, le module RAG (Génération Augmentée par Récupération) a été intégré, et plusieurs nouveaux modèles de LLMs sont désormais pris en charge.
+
+🚀 28 février 2024: La version [v0.7.0](https://github.com/geekan/MetaGPT/releases/tag/v0.7.0) a été publiée, permettant l'attribution de différents modèles de langage (LLMs) à différents Rôles. Nous avons également introduit le [Data Interpreter](https://github.com/geekan/MetaGPT/blob/main/examples/di/README.md), , un agent puissant capable de résoudre une grande variété de problèmes du monde réel.
+
+🚀 16 janvier 2024: Notre article intitulé  [MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework
+](https://openreview.net/forum?id=VtmBAGCN7o) a été accepté pour une **présentation orale (top 1,2%)** à la conférence ICLR 2024, se **classant n°1** dans la catégorie des agents basés sur les modèles de langage (LLM).
+
+🚀 3 janvier 2024 : La version [v0.6.0](https://github.com/geekan/MetaGPT/releases/tag/v0.6.0) a été publiée avec de nouvelles fonctionnalités, notamment la sérialisation, la mise à niveau du package OpenAI et la prise en charge de plusieurs modèles de langage (LLM). Un [exemple minimal pour le débat](https://github.com/geekan/MetaGPT/blob/main/examples/debate_simple.py)  a également été ajouté pour illustrer ces capacités.
+
+🚀 15 décembre 2023 : La version [v0.5.0](https://github.com/geekan/MetaGPT/releases/tag/v0.5.0) a été publiée, introduisant des fonctionnalités expérimentales telles que le développement incrémental, la prise en charge du multilingue, et la compatibilité avec plusieurs langages de programmation, etc..
+
+
+🔥 8 novembre 2023 : MetaGPT a été sélectionné parmi les [Open100: Top 100 des réalisations open source](https://www.benchcouncil.org/evaluation/opencs/annual.html), une reconnaissance qui met en avant les meilleures innovations et contributions dans le domaine des projets open source.
+
+🔥 1er septembre 2023 : MetaGPT a dominé le classement **GitHub Trending Monthly** pour la **17ème fois** en août 2023, consolidant ainsi sa position en tant que projet open source de premier plan.
+
+🌟 30 juin 2023 : MetaGPT est désormais open source, permettant à la communauté de contribuer et d'enrichir le projet.
+
+🌟 24 avril 2023 : La première ligne de code de MetaGPT a été engagée, marquant le début de ce projet innovant.
+
+
+### Système multi-agents dans une entreprise de logiciels
+
+1. **Exigence unique** : MetaGPT prend en entrée une **exigence formulée en une ligne** et produit des résultats variés, tels que des **user stories, des analyses concurrentielles, des exigences, des structures de données, des API, des documents, etc.**.
+
+2. **Structure interne** : MetaGPT intègre divers rôles présents dans une entreprise de logiciels, notamment **des chefs de produits, des architectes, des chefs de projet et des ingénieurs**. Ce système propose un processus complet de **développement logiciel**, soutenu par des **procédures opérationnelles standardisées (SOP) soigneusement orchestrées**.
+
+   1. La philosophie centrale du système est exprimée par l'énoncé : `Code = SOP(Équipe)`. Cela signifie que les SOP sont concrétisées et appliquées à des équipes composées de modèles de langage (LLMs), permettant ainsi une meilleure gestion et un meilleur déroulement des projets.
+
+
+![Une entreprise de logiciels se compose de rôles basés sur des LLM](resources/software_company_cd.jpeg)
+
+<p align="center">Schéma multi-agent d'une entreprise de logiciels (Mise en œuvre progressive)</p>
+
+
+## Commençons !
+
+### Installation
+
+> Assurez-vous que Python 3.9 ou supérieur, mais inférieur à 3.12, est installé sur votre système. Vous pouvez le vérifier en utilisant : `python --version`.  
+> Vous pouvez utiliser conda comme suit : `conda create -n metagpt python=3.9 && conda activate metagpt`
+
+```bash
+pip install --upgrade metagpt
+# or `pip install --upgrade git+https://github.com/geekan/MetaGPT.git`
+# or `git clone https://github.com/geekan/MetaGPT && cd MetaGPT && pip install --upgrade -e .`
+```
+
+Pour des conseils d'installation détaillés, veuillez vous référer à [cli_install](https://docs.deepwisdom.ai/main/en/guide/get_started/installation.html#install-stable-version)
+ ou [docker_install](https://docs.deepwisdom.ai/main/en/guide/get_started/installation.html#install-with-docker)
+
+### Configuration
+
+Vous pouvez initialiser la configuration de MetaGPT en lançant la commande suivante, ou en créant manuellement le fichier `~/.metagpt/config2.yaml` :
+```bash
+# Visitez https://docs.deepwisdom.ai/main/en/guide/get_started/configuration.html pour plus de détails
+metagpt --init-config  # il créera ~/.metagpt/config2.yaml, il suffit de le modifier selon vos besoins
+```
+
+Vous pouvez configurer `~/.metagpt/config2.yaml` selon l'[exemple](https://github.com/geekan/MetaGPT/blob/main/config/config2.example.yaml) et le [doc](https://docs.deepwisdom.ai/main/en/guide/get_started/configuration.html) :
+
+```yaml
+llm:
+  api_type: "openai"  # ou azure / ollama / groq etc. Consultez LLMType pour plus d'options
+  model: "gpt-4-turbo"  # ou gpt-3.5-turbo
+  base_url: "https://api.openai.com/v1"  # ou URL de transfert / URL d'autre LLM.
+  api_key: "VOTRE_CLE_API"
+```
+
+### Utilisation
+
+Après l'installation, vous pouvez utiliser MetaGPT en CLI
+
+```bash
+metagpt "Create a 2048 game"  #  ceci créera un repo dans ./workspace
+```
+
+ou l'utiliser comme bibliothèque
+
+```python
+from metagpt.software_company import generate_repo, ProjectRepo
+repo: ProjectRepo = generate_repo("Create a 2048 game")  # ou ProjectRepo("<path>")
+print(repo)  # il affichera la structure du repo avec les fichiers
+```
+
+Vous pouvez aussi utiliser [Data Interpreter](https://github.com/geekan/MetaGPT/tree/main/examples/di) pour écrire du code:
+
+```python
+import asyncio
+from metagpt.roles.di.data_interpreter import DataInterpreter
+
+async def main():
+    di = DataInterpreter()
+    await di.run("Exécuter une analyse de données sur le jeu de données sklearn Iris et y inclure un graphique")
+
+asyncio.run(main())  # ou attendre main() dans une configuration de notebook jupyter
+```
+
+
+### Vidéo de démonstration et de démarrage rapide (en Anglais) : 
+- Essayez-le sur [MetaGPT Huggingface Space](https://huggingface.co/spaces/deepwisdom/MetaGPT)
+- [Matthew Berman : Comment installer MetaGPT - Construire une startup avec une seule invite](https://youtu.be/uT75J_KG_aY)
+- [Vidéo de démonstration officielle](https://github.com/geekan/MetaGPT/assets/2707039/5e8c1062-8c35-440f-bb20-2b0320f8d27d)
+
+https://github.com/user-attachments/assets/888cb169-78c3-4a42-9d62-9d90ed3928c9
+
+## Tutoriel (en Anglais)
+
+- 🗒 [Document en ligne](https://docs.deepwisdom.ai/main/en/)
+- 💻 [Utilisation](https://docs.deepwisdom.ai/main/en/guide/get_started/quickstart.html)  
+- 🔎 [Que peut faire MetaGPT](https://docs.deepwisdom.ai/main/en/guide/get_started/introduction.html)
+- 🛠 Comment créer ses propres agents ? 
+  - [MetaGPT Guide d'utilisation et de développement | Agent 101](https://docs.deepwisdom.ai/main/en/guide/tutorials/agent_101.html)
+  - [MetaGPT Guide d'utilisation et de développement | MultiAgent 101](https://docs.deepwisdom.ai/main/en/guide/tutorials/multi_agent_101.html)
+- 🧑‍💻 Contribution
+  - [Élaborer une feuille de route](docs/ROADMAP.md)
+- 🔖 Cas d'usage
+  - [Interprète des données](https://docs.deepwisdom.ai/main/en/guide/use_cases/agent/interpreter/intro.html)
+  - [Débat](https://docs.deepwisdom.ai/main/en/guide/use_cases/multi_agent/debate.html)
+  - [Chercheur](https://docs.deepwisdom.ai/main/en/guide/use_cases/agent/researcher.html)
+  - [Assistant(e) de réception](https://docs.deepwisdom.ai/main/en/guide/use_cases/agent/receipt_assistant.html)
+- ❓ [FAQs](https://docs.deepwisdom.ai/main/en/guide/faq.html)
+
+## Support
+
+### Rejoignez-nous sur Discord
+
+📢 Rejoignez-nous sur [Discord Channel](https://discord.gg/ZRHeExS6xv)! Au plaisir de vous y voir ! 🎉
+
+### Formulaire de contribution
+
+📝 [Remplissez le formulaire](https://airtable.com/appInfdG0eJ9J4NNL/pagK3Fh1sGclBvVkV/form) pour devenir contributeur. Nous nous réjouissons de votre participation !
+
+### Information de contact
+
+Si vous avez des questions ou des commentaires sur ce projet, n'hésitez pas à nous contacter. Nous apprécions grandement vos suggestions !
+
+- **Email:** alexanderwu@deepwisdom.ai
+- **GitHub Issues:** Pour des questions plus techniques, vous pouvez également créer un nouveau problème dans notre [dépôt Github](https://github.com/geekan/metagpt/issues).
+
+Nous répondrons à toutes les questions dans un délai de 2 à 3 jours ouvrables.
+
+## Citation
+
+Pour rester informé des dernières recherches et développements, suivez [@MetaGPT_] (https://twitter.com/MetaGPT_) sur Twitter. 
+
+Pour citer [MetaGPT](https://openreview.net/forum?id=VtmBAGCN7o) ou [Data Interpreter](https://arxiv.org/abs/2402.18679) dans des publications, veuillez utiliser les entrées BibTeX suivantes.
+
+```bibtex
+@inproceedings{hong2024metagpt,
+      title={Meta{GPT}: Meta Programming for A Multi-Agent Collaborative Framework},
+      author={Sirui Hong and Mingchen Zhuge and Jonathan Chen and Xiawu Zheng and Yuheng Cheng and Jinlin Wang and Ceyao Zhang and Zili Wang and Steven Ka Shing Yau and Zijuan Lin and Liyang Zhou and Chenyu Ran and Lingfeng Xiao and Chenglin Wu and J{\"u}rgen Schmidhuber},
+      booktitle={The Twelfth International Conference on Learning Representations},
+      year={2024},
+      url={https://openreview.net/forum?id=VtmBAGCN7o}
+}
+@misc{hong2024data,
+      title={Data Interpreter: An LLM Agent For Data Science}, 
+      author={Sirui Hong and Yizhang Lin and Bang Liu and Bangbang Liu and Binhao Wu and Danyang Li and Jiaqi Chen and Jiayi Zhang and Jinlin Wang and Li Zhang and Lingyao Zhang and Min Yang and Mingchen Zhuge and Taicheng Guo and Tuo Zhou and Wei Tao and Wenyi Wang and Xiangru Tang and Xiangtao Lu and Xiawu Zheng and Xinbing Liang and Yaying Fei and Yuheng Cheng and Zongze Xu and Chenglin Wu},
+      year={2024},
+      eprint={2402.18679},
+      archivePrefix={arXiv},
+      primaryClass={cs.AI}
+}
+```
@@ -0,0 +1,329 @@
+# MetaGPT: マルチエージェントフレームワーク
+
+<p align="center">
+<a href=""><img src="resources/MetaGPT-new-log.png" alt="MetaGPT ロゴ: GPT がソフトウェア会社で働けるようにし、協力してより複雑な仕事に取り組む。" width="150px"></a>
+</p>
+
+<p align="center">
+[ <a href="../README.md">En</a> |
+<a href="README_CN.md">中</a> |
+<a href="README_FR.md">Fr</a> |
+<b>日</b> ]
+<b>GPT にさまざまな役割を割り当てることで、複雑なタスクのための共同ソフトウェアエンティティを形成します。</b>
+</p>
+
+<p align="center">
+<a href="https://opensource.org/licenses/MIT"><img src="https://img.shields.io/badge/License-MIT-blue.svg" alt="License: MIT"></a>
+<a href="https://discord.gg/DYn29wFk9z"><img src="https://dcbadge.vercel.app/api/server/DYn29wFk9z?style=flat" alt="Discord Follow"></a>
+<a href="https://twitter.com/MetaGPT_"><img src="https://img.shields.io/twitter/follow/MetaGPT?style=social" alt="Twitter Follow"></a>
+
+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。
+
+![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)
+
+<p align="center">ソフトウェア会社のマルチロール図式（順次導入）</p>
+
+## MetaGPT の能力
+
+
+https://github.com/user-attachments/assets/888cb169-78c3-4a42-9d62-9d90ed3928c9
+
+
+
+## 例（GPT-4 で完全生成）
+
+例えば、`metagpt "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
+
+![Jinri Toutiao Recsys データと API デザイン](resources/workspace/content_rec_sys/resources/data_api_design.png)
+
+解析と設計を含む 1 つの例を生成するのに約 **$0.2**（GPT-4 の API 使用料）、完全なプロジェクトでは約 **$2.0** かかります。
+
+
+
+
+## インストール
+
+### インストールビデオガイド
+
+- [Matthew Berman: How To Install MetaGPT - Build A Startup With One Prompt!!](https://youtu.be/uT75J_KG_aY)
+
+### 伝統的なインストール
+> Python 3.9 以上がシステムにインストールされていることを確認してください。これは `python --version` を使ってチェックできます。  
+> 以下のようにcondaを使うことができます：`conda create -n metagpt python=3.9 && conda activate metagpt`
+
+```bash
+pip install metagpt
+metagpt --init-config  # ~/.metagpt/config2.yaml を作成し、自分の設定に合わせて変更してください
+metagpt "2048ゲームを作成する"  # これにより ./workspace にリポジトリが作成されます
+```
+
+または、ライブラリとして使用することもできます
+
+```python
+from metagpt.software_company import generate_repo, ProjectRepo
+repo: ProjectRepo = generate_repo("2048ゲームを作成する")  # または ProjectRepo("<パス>")
+print(repo)  # リポジトリの構造とファイルを出力します
+```
+
+**注:**
+
+- すでに Chrome、Chromium、MS Edge がインストールされている場合は、環境変数 `PUPPETEER_SKIP_CHROMIUM_DOWNLOAD` を `true` に設定することで、
+Chromium のダウンロードをスキップすることができます。
+
+- このツールをグローバルにインストールする[問題を抱えている](https://github.com/mermaidjs/mermaid.cli/issues/15)人もいます。ローカルにインストールするのが代替の解決策です、
+
+  ```bash
+  npm install @mermaid-js/mermaid-cli
+  ```
+
+- config.yml に mmdc のコンフィグを記述するのを忘れないこと
+
+  ```yml
+  puppeteer_config: "./config/puppeteer-config.json"
+  path: "./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
+
+- Mermaid charts を SVG、PNG、PDF 形式に変換します。Node.js 版の Mermaid-CLI に加えて、Python 版の Playwright、pyppeteer、または mermaid.ink をこのタスクに使用できるようになりました。
+
+  - Playwright
+    - **Playwright のインストール**
+
+    ```bash
+    pip install playwright
+    ```
+
+    - **必要なブラウザのインストール**
+
+    PDF変換をサポートするには、Chrominumをインストールしてください。
+
+    ```bash
+    playwright install --with-deps chromium
+    ```
+
+    - **modify `config2.yaml`**
+
+    config2.yaml から mermaid.engine のコメントを外し、`playwright` に変更する
+
+    ```yaml
+    mermaid:
+      engine: playwright
+    ```
+
+  - pyppeteer
+    - **pyppeteer のインストール**
+
+    ```bash
+    pip install pyppeteer
+    ```
+
+    - **自分のブラウザを使用**
+
+    pyppeteer を使えばインストールされているブラウザを使うことができます、以下の環境を設定してください
+
+    ```bash
+    export PUPPETEER_EXECUTABLE_PATH = /path/to/your/chromium or edge or chrome
+    ```
+
+    ブラウザのインストールにこのコマンドを使わないでください、これは古すぎます
+
+    ```bash
+    pyppeteer-install
+    ```
+
+    - **`config2.yaml` を修正**
+
+    config2.yaml から mermaid.engine のコメントを外し、`pyppeteer` に変更する
+
+    ```yaml
+    mermaid:
+      engine: pyppeteer
+    ```
+
+  - mermaid.ink
+    - **`config2.yaml` を修正**
+
+    config2.yaml から mermaid.engine のコメントを外し、`ink` に変更する
+
+    ```yaml
+    mermaid:
+      engine: ink
+    ```
+
+    注: この方法は pdf エクスポートに対応していません。
+
+### Docker によるインストール
+> Windowsでは、"/opt/metagpt"をDockerが作成する権限を持つディレクトリに置き換える必要があります。例えば、"D:\Users\x\metagpt"などです。
+
+```bash
+# ステップ 1: metagpt 公式イメージをダウンロードし、config2.yaml を準備する
+docker pull metagpt/metagpt:latest
+mkdir -p /opt/metagpt/{config,workspace}
+docker run --rm metagpt/metagpt:latest cat /app/metagpt/config/config2.yaml > /opt/metagpt/config/config2.yaml
+vim /opt/metagpt/config/config2.yaml # 設定を変更する
+
+# ステップ 2: コンテナで metagpt デモを実行する
+docker run --rm \
+    --privileged \
+    -v /opt/metagpt/config/config2.yaml:/app/metagpt/config/config2.yaml \
+    -v /opt/metagpt/workspace:/app/metagpt/workspace \
+    metagpt/metagpt:latest \
+    metagpt "Write a cli snake game"
+
+# コンテナを起動し、その中でコマンドを実行することもできます
+docker run --name metagpt -d \
+    --privileged \
+    -v /opt/metagpt/config/config2.yaml:/app/metagpt/config/config2.yaml \
+    -v /opt/metagpt/workspace:/app/metagpt/workspace \
+    metagpt/metagpt:latest
+
+docker exec -it metagpt /bin/bash
+$ metagpt "Write a cli snake game"
+```
+
+コマンド `docker run ...` は以下のことを行います:
+
+- 特権モードで実行し、ブラウザの実行権限を得る
+- ホスト設定ファイル `/opt/metagpt/config/config2.yaml` をコンテナ `/app/metagpt/config/config2.yaml` にマップします
+- ホストディレクトリ `/opt/metagpt/workspace` をコンテナディレクトリ `/app/metagpt/workspace` にマップするs
+- デモコマンド `metagpt "Write a cli snake game"` を実行する
+
+### 自分でイメージをビルドする
+
+```bash
+# また、自分で metagpt イメージを構築することもできます。
+git clone https://github.com/geekan/MetaGPT.git
+cd MetaGPT && docker build -t metagpt:custom .
+```
+
+## 設定
+
+- `api_key` を `~/.metagpt/config2.yaml / config/config2.yaml` のいずれかで設定します。
+- 優先順位は: `~/.metagpt/config2.yaml > config/config2.yaml > env` の順です。
+
+```bash
+# 設定ファイルをコピーし、必要な修正を加える。
+cp config/config2.yaml ~/.metagpt/config2.yaml
+```
+
+## チュートリアル: スタートアップの開始
+
+```shell
+# スクリプトの実行
+metagpt "Write a cli snake game"
+# プロジェクトの実施にエンジニアを雇わないこと
+metagpt "Write a cli snake game" --no-implement
+# エンジニアを雇い、コードレビューを行う
+metagpt "Write a cli snake game" --code_review
+```
+
+スクリプトを実行すると、`workspace/` ディレクトリに新しいプロジェクトが見つかります。
+
+### プラットフォームまたはツールの設定
+
+要件を述べるときに、どのプラットフォームまたはツールを使用するかを指定できます。
+
+```shell
+metagpt "pygame をベースとした cli ヘビゲームを書く"
+```
+
+### 使用方法
+
+```
+会社名
+    metagpt - 私たちは AI で構成されたソフトウェア・スタートアップです。私たちに投資することは、無限の可能性に満ちた未来に力を与えることです。
+
+シノプシス
+    metagpt IDEA <flags>
+
+説明
+    私たちは AI で構成されたソフトウェア・スタートアップです。私たちに投資することは、無限の可能性に満ちた未来に力を与えることです。
+
+位置引数
+    IDEA
+        型: str
+        あなたの革新的なアイデア、例えば"スネークゲームを作る。"など
+
+フラグ
+    --investment=INVESTMENT
+        型: float
+        デフォルト: 3.0
+        投資家として、あなたはこの AI 企業に一定の金額を拠出する機会がある。
+    --n_round=N_ROUND
+        型: int
+        デフォルト: 5
+
+注意事項
+    位置引数にフラグ構文を使うこともできます
+```
+
+### コードウォークスルー
+
+```python
+from metagpt.team import Team
+from metagpt.roles import ProjectManager, ProductManager, Architect, Engineer
+
+async def startup(idea: str, investment: float = 3.0, n_round: int = 5):
+    """スタートアップを実行する。ボスになる。"""
+    company = Team()
+    company.hire([ProductManager(), Architect(), ProjectManager(), Engineer()])
+    company.invest(investment)
+    company.start_project(idea)
+    await company.run(n_round=n_round)
+```
+
+`examples` でシングル・ロール（ナレッジ・ベース付き）と LLM のみの例を詳しく見ることができます。
+
+## クイックスタート
+
+ローカル環境のインストールや設定は、ユーザーによっては難しいものです。以下のチュートリアルで MetaGPT の魅力をすぐに体験できます。
+
+- [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-SoftwareCompany
+
+## 引用
+
+研究論文でMetaGPTやData Interpreterを使用する場合は、以下のように当社の作業を引用してください：
+
+```bibtex
+@inproceedings{hong2024metagpt,
+      title={Meta{GPT}: Meta Programming for A Multi-Agent Collaborative Framework},
+      author={Sirui Hong and Mingchen Zhuge and Jonathan Chen and Xiawu Zheng and Yuheng Cheng and Jinlin Wang and Ceyao Zhang and Zili Wang and Steven Ka Shing Yau and Zijuan Lin and Liyang Zhou and Chenyu Ran and Lingfeng Xiao and Chenglin Wu and J{\"u}rgen Schmidhuber},
+      booktitle={The Twelfth International Conference on Learning Representations},
+      year={2024},
+      url={https://openreview.net/forum?id=VtmBAGCN7o}
+}
+@misc{hong2024data,
+      title={Data Interpreter: An LLM Agent For Data Science}, 
+      author={Sirui Hong and Yizhang Lin and Bang Liu and Bangbang Liu and Binhao Wu and Danyang Li and Jiaqi Chen and Jiayi Zhang and Jinlin Wang and Li Zhang and Lingyao Zhang and Min Yang and Mingchen Zhuge and Taicheng Guo and Tuo Zhou and Wei Tao and Wenyi Wang and Xiangru Tang and Xiangtao Lu and Xiawu Zheng and Xinbing Liang and Yaying Fei and Yuheng Cheng and Zongze Xu and Chenglin Wu},
+      year={2024},
+      eprint={2402.18679},
+      archivePrefix={arXiv},
+      primaryClass={cs.AI}
+}
+```
+
+## 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@deepwisdom.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。
+
+ご質問には 2-3 営業日以内に回答いたします。
+
+## デモ
+
+https://github.com/geekan/MetaGPT/assets/2707039/5e8c1062-8c35-440f-bb20-2b0320f8d27d
+
+## 参加する
+
+📢 Discord チャンネルに参加してください！
+https://discord.gg/ZRHeExS6xv
+
+お会いできることを楽しみにしています！ 🎉
@@ -0,0 +1,84 @@
+
+## Roadmap
+
+### Long-term Objective
+
+Enable MetaGPT to self-evolve, accomplishing self-training, fine-tuning, optimization, utilization, and updates.
+
+### Short-term Objective
+
+1. Become the multi-agent framework with the highest ROI.
+2. Support fully automatic implementation of medium-sized projects (around 2000 lines of code).
+3. Implement most identified tasks, reaching version 1.0.
+
+### Tasks
+
+1. Usability
+   1. ~~Release v0.01 pip package to try to solve issues like npm installation (though not necessarily successfully)~~ (v0.3.0)
+   2. ~~Support for overall save and recovery of software companies~~ (v0.6.0)
+   3. ~~Support human confirmation and modification during the process~~ (v0.3.0) New: Support human confirmation and modification with fewer constrainsts and a more user-friendly interface
+   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~~ (v0.4.0, with function call)
+   6. Write documentation, describing the current features and usage at all levels (ongoing, continuously adding contents to [documentation site](https://docs.deepwisdom.ai/main/en/guide/get_started/introduction.html))
+   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)~~ (v0.5.0)
+   2. ~~Establish a separate output queue, differentiated from the message queue~~ (v0.5.0)
+   3. ~~Attempt to atomize all role work, but this may significantly increase token overhead~~ (v0.5.0)
+   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. ~~Allowing natural communication between roles~~ (v0.5.0)
+   8. Implement SkillManager and the process of incremental Skill learning (experimentation done with game agents)
+   9. Automatically get RPM and configure it by calling the corresponding openai page, so that each key does not need to be manually configured
+   10. ~~IMPORTANT: Support incremental development~~ (v0.5.0)
+3. Strategies
+   1. Support ReAct strategy (experimentation done with game agents)
+   2. Support CoT strategy (experimentation done with game agents)
+   3. ~~Support ToT strategy~~ (v0.6.0)
+   4. Support Reflection strategy (experimentation done with game agents)
+   5. ~~Support planning~~ (v0.7.0)
+4. Actions
+   1. ~~Implementation: Search~~ (v0.2.1)
+   2. Implementation: Knowledge search, supporting 10+ data formats
+   3. ~~Implementation: Data EDA~~ (v0.7.0)
+   4. ~~Implementation: Review & Revise~~ (v0.7.0)
+   5. ~~Implementation: Add Document~~ (v0.5.0)
+   6. ~~Implementation: Delete Document~~ (v0.5.0)
+   7. Implementation: Self-training
+   8. ~~Implementation: DebugError~~ (v0.2.1)
+   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~~ (v0.7.0)
+   13. Implementation: Data collection
+   14. Implementation: AI training
+   15. ~~Implementation: Run code~~ (v0.2.1)
+   16. ~~Implementation: Web access~~ (v0.2.1)
+5. Tools
+   1. ~~Support SERPER api~~
+   2. ~~Support Selenium apis~~
+   3. ~~Support Playwright apis~~
+   4. Plugins: Compatibility with plugin system  
+6. Roles
+   1. Perfect the action pool/skill pool for each role
+   2. E-commerce seller
+   3. ~~Data analyst~~ (v0.7.0)
+   4. News observer
+   5. ~~Institutional researcher~~ (v0.2.1)
+   6. User  
+7. Evaluation
+   1. Support an evaluation on a game dataset (experimentation done with game agents)
+   2. Reproduce papers, implement full skill acquisition for a single game role, achieving SOTA results (experimentation done with game agents)
+   3. Support an evaluation on a math dataset (expected v0.8.0)
+   4. Reproduce papers, achieving SOTA results for current mathematical problem solving process (expected v0.8.0)
+8. 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)~~
+9. Other
+   1. ~~Clean up existing unused code~~
+   2. ~~Unify all code styles and establish contribution standards~~
+   3. ~~Multi-language support~~
+   4. ~~Multi-programming-language support~~
@@ -0,0 +1,125 @@
+## Traditional Command Line Installation
+
+### Support System and version
+| System Version | Python Version  |  Supported  |
+|      ----      |     ----        |   -----   |
+|   macOS 13.x   |    python 3.9   |    Yes    |
+|   Windows 11   |    python 3.9   |    Yes    |
+|   Ubuntu 22.04 |    python 3.9   |    Yes    |
+
+### Detail Installation
+```bash
+# Step 1: Ensure that Python 3.9+ is installed on your system. You can check this by using:
+# You can use conda to initialize a new python env
+#     conda create -n metagpt python=3.9
+#     conda activate metagpt
+python3 --version
+
+# Step 2: Clone the repository to your local machine for latest version, and install it.
+git clone https://github.com/geekan/MetaGPT.git
+cd MetaGPT
+pip3 install -e .     # or pip3 install metagpt  # for stable version
+
+# Step 3: setup your LLM key in the config2.yaml file
+mkdir ~/.metagpt
+cp config/config2.yaml ~/.metagpt/config2.yaml
+vim ~/.metagpt/config2.yaml
+
+# Step 4: run metagpt cli
+metagpt "Create a 2048 game in python"
+
+# Step 5 [Optional]: If you want to save the artifacts like diagrams such as quadrant chart, system designs, sequence flow in the workspace, you can execute the step before Step 3. By default, the framework is compatible, and the entire process can be run completely without executing this step.
+# If executing, ensure that NPM is installed on your system. Then install mermaid-js. (If you don't have npm in your computer, please go to the Node.js official website to install Node.js https://nodejs.org/ and then you will have npm tool in your computer.)
+npm --version
+sudo npm install -g @mermaid-js/mermaid-cli
+```
+
+**Note:**
+
+- If already have Chrome, Chromium, or MS Edge installed, you can skip downloading Chromium by setting the environment variable
+  `PUPPETEER_SKIP_CHROMIUM_DOWNLOAD` to `true`.
+
+- Some people are [having issues](https://github.com/mermaidjs/mermaid.cli/issues/15) installing this tool globally. Installing it locally is an alternative solution,
+
+  ```bash
+  npm install @mermaid-js/mermaid-cli
+  ```
+
+- don't forget to the configuration for mmdc path in config.yml
+
+  ```yaml
+  mermaid:
+    puppeteer_config: "./config/puppeteer-config.json"
+    path: "./node_modules/.bin/mmdc"
+  ```
+
+- if `pip install -e.` fails with error `[Errno 13] Permission denied: '/usr/local/lib/python3.11/dist-packages/test-easy-install-13129.write-test'`, try instead running `pip install -e. --user`
+
+- To convert Mermaid charts to SVG, PNG, and PDF formats. In addition to the Node.js version of Mermaid-CLI, you now have the option to use Python version Playwright, pyppeteer or mermaid.ink for this task.
+
+  - Playwright
+    - **Install Playwright**
+
+    ```bash
+    pip install playwright
+    ```
+
+    - **Install the Required Browsers**
+
+    to support PDF conversion, please install Chrominum.
+
+    ```bash
+    playwright install --with-deps chromium
+    ```
+
+    - **modify `config2.yaml`**
+
+    change mermaid.engine to `playwright`
+
+    ```yaml
+    mermaid:
+      engine: playwright
+    ```
+
+  - pyppeteer
+    - **Install pyppeteer**
+
+    ```bash
+    pip install pyppeteer
+    ```
+
+    - **Use your own Browsers**
+
+    pyppeteer allows you use installed browsers,  please set the following envirment
+    
+    ```bash
+    export PUPPETEER_EXECUTABLE_PATH = /path/to/your/chromium or edge or chrome
+    ```
+
+    please do not use this command to install browser, it is too old
+
+    ```bash
+    pyppeteer-install
+    ```
+
+    - **modify `config2.yaml`**
+
+    change mermaid.engine to `pyppeteer`
+
+    ```yaml
+    mermaid:
+      engine: pyppeteer
+    ```
+
+  - mermaid.ink
+    - **modify `config2.yaml`**
+    
+    change mermaid.engine to `ink`
+
+    ```yaml
+    mermaid:
+      engine: ink
+    ```  
+
+    Note: this method does not support pdf export.
+    
@@ -0,0 +1,56 @@
+## 命令行安装
+
+### 支持的系统和版本
+|     系统版本     | Python 版本     |  是否支持  |
+|      ----      |     ----        |   -----   |
+|   macOS 13.x   |    python 3.9   |    是    |
+|   Windows 11   |    python 3.9   |    是    |
+|   Ubuntu 22.04 |    python 3.9   |    是    |
+
+### 详细安装
+
+```bash
+# 步骤 1: 确保您的系统安装了 Python 3.9 或更高版本。您可以使用以下命令来检查:
+# 您可以使用 conda 来初始化一个新的 Python 环境
+#     conda create -n metagpt python=3.9
+#     conda activate metagpt
+python3 --version
+
+# 步骤 2: 克隆仓库到您的本地机器以获取最新版本，并安装它。
+git clone https://github.com/geekan/MetaGPT.git
+cd MetaGPT
+pip3 install -e .     # 或 pip3 install metagpt  # 用于稳定版本
+
+# 步骤 3: 在 config2.yaml 文件中设置您的 LLM 密钥
+mkdir ~/.metagpt
+cp config/config2.yaml ~/.metagpt/config2.yaml
+vim ~/.metagpt/config2.yaml
+
+# 步骤 4: 运行 metagpt 命令行界面
+metagpt "用 python 创建一个 2048 游戏"
+
+# 步骤 5 [可选]: 如果您想保存诸如象限图、系统设计、序列流等图表作为工作空间的工件，您可以在执行步骤 3 之前执行此步骤。默认情况下，该框架是兼容的，整个过程可以完全不执行此步骤而运行。
+# 如果执行此步骤，请确保您的系统上安装了 NPM。然后安装 mermaid-js。（如果您的计算机中没有 npm，请访问 Node.js 官方网站 https://nodejs.org/ 安装 Node.js，然后您将在计算机中拥有 npm 工具。）
+npm --version
+sudo npm install -g @mermaid-js/mermaid-cli
+```
+
+**注意：**
+
+- 如果已经安装了Chrome、Chromium或MS Edge，可以通过将环境变量`PUPPETEER_SKIP_CHROMIUM_DOWNLOAD`设置为`true`来跳过下载Chromium。
+
+- 一些人在全局安装此工具时遇到问题。在本地安装是替代解决方案，
+
+    ```bash
+    npm install @mermaid-js/mermaid-cli
+    ```
+
+- 不要忘记在config.yml中为mmdc配置
+
+    ```yml
+    mermaid:
+      puppeteer_config: "./config/puppeteer-config.json"
+      path: "./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。
@@ -0,0 +1,44 @@
+## Docker Installation
+
+### Use default MetaGPT image
+
+```bash
+# Step 1: Download metagpt official image and prepare config2.yaml
+docker pull metagpt/metagpt:latest
+mkdir -p /opt/metagpt/{config,workspace}
+docker run --rm metagpt/metagpt:latest cat /app/metagpt/config/config2.yaml > /opt/metagpt/config/config2.yaml
+vim /opt/metagpt/config/config2.yaml # Change the config
+
+# Step 2: Run metagpt demo with container
+docker run --rm \
+    --privileged \
+    -v /opt/metagpt/config/config2.yaml:/app/metagpt/config/config2.yaml \
+    -v /opt/metagpt/workspace:/app/metagpt/workspace \
+    metagpt/metagpt:latest \
+    metagpt "Write a cli snake game"
+
+# You can also start a container and execute commands in it
+docker run --name metagpt -d \
+    --privileged \
+    -v /opt/metagpt/config/config2.yaml:/app/metagpt/config/config2.yaml \
+    -v /opt/metagpt/workspace:/app/metagpt/workspace \
+    metagpt/metagpt:latest
+
+docker exec -it metagpt /bin/bash
+$ metagpt "Write a cli snake game"
+```
+
+The command `docker run ...` do the following things:
+
+- Run in privileged mode to have permission to run the browser
+- Map host configure file `/opt/metagpt/config/config2.yaml` to container `/app/metagpt/config/config2.yaml`
+- Map host directory `/opt/metagpt/workspace` to container `/app/metagpt/workspace`
+- Execute the demo command `metagpt "Write a cli snake game"`
+
+### Build image by yourself
+
+```bash
+# You can also build metagpt image by yourself.
+git clone https://github.com/geekan/MetaGPT.git
+cd MetaGPT && docker build -t metagpt:custom .
+```
@@ -0,0 +1,44 @@
+## Docker安装
+
+### 使用MetaGPT镜像
+
+```bash
+# 步骤1: 下载metagpt官方镜像并准备好config2.yaml
+docker pull metagpt/metagpt:latest
+mkdir -p /opt/metagpt/{config,workspace}
+docker run --rm metagpt/metagpt:latest cat /app/metagpt/config/config2.yaml > /opt/metagpt/config/config2.yaml
+vim /opt/metagpt/config/config2.yaml # 修改配置文件
+
+# 步骤2: 使用容器运行metagpt演示
+docker run --rm \
+    --privileged \
+    -v /opt/metagpt/config/config2.yaml:/app/metagpt/config/config2.yaml \
+    -v /opt/metagpt/workspace:/app/metagpt/workspace \
+    metagpt/metagpt:latest \
+    metagpt "Write a cli snake game"
+
+# 您也可以启动一个容器并在其中执行命令
+docker run --name metagpt -d \
+    --privileged \
+    -v /opt/metagpt/config/config2.yaml:/app/metagpt/config/config2.yaml \
+    -v /opt/metagpt/workspace:/app/metagpt/workspace \
+    metagpt/metagpt:latest
+
+docker exec -it metagpt /bin/bash
+$ metagpt "Write a cli snake game"
+```
+
+`docker run ...`做了以下事情:
+
+- 以特权模式运行，有权限运行浏览器
+- 将主机文件 `/opt/metagpt/config/config2.yaml` 映射到容器文件 `/app/metagpt/config/config2.yaml`
+- 将主机目录 `/opt/metagpt/workspace` 映射到容器目录 `/app/metagpt/workspace`
+- 执行示例命令 `metagpt "Write a cli snake game"`
+
+### 自己构建镜像
+
+```bash
+# 您也可以自己构建metagpt镜像
+git clone https://github.com/geekan/MetaGPT.git
+cd MetaGPT && docker build -t metagpt:custom .
+```
@@ -0,0 +1 @@
+coverage run --source ./metagpt -m pytest -n 8 --durations=0 --timeout=100 && coverage report -m && coverage html && open htmlcov/index.html
--- a/Show More
+++ b/Show More
				`@@ -0,0 +1 @@`
				`coverage run --source ./metagpt -m pytest -n 8 --durations=0 --timeout=100 && coverage report -m && coverage html && open htmlcov/index.html`