feat: base on metagpt v0.6.1

.agent-store-config.yaml

@@ -0,0 +1,8 @@
+role:
+  name: SoftwareCompany
+  module: metagpt.roles.software_company
+  skills:
+  - name: WritePRD
+  - name: WriteDesign
+  - name: WriteTasks
+  - name: WriteCode

.agent-store-config.yaml.example

@@ -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 `.well-known/skills.yaml`.
+    - name: text_to_speech
+      description: Text-to-speech
+    - name: text_to_image
+      description: Create a drawing based on the text.
+

.dockerignore

@@ -0,0 +1,7 @@
+workspace
+tmp
+build
+workspace
+dist
+data
+geckodriver.log

.gitattributes

@@ -33,3 +33,10 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 *.zip filter=lfs diff=lfs merge=lfs -text
 *.zst filter=lfs diff=lfs merge=lfs -text
 *tfevents* filter=lfs diff=lfs merge=lfs -text
+metagpt/static/assets/example-1902a4ef.png filter=lfs diff=lfs merge=lfs -text
+*.png filter=lfs diff=lfs merge=lfs -text
+*.mp4 filter=lfs diff=lfs merge=lfs -text
+*.svg filter=lfs diff=lfs merge=lfs -text
+*.jpg filter=lfs diff=lfs merge=lfs -text
+*.ico filter=lfs diff=lfs merge=lfs -text
+*.html linguist-detectable=false

.gitignore

@@ -0,0 +1,171 @@
+### 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
+
+# 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/
+
+# Translations
+*.mo
+*.pot
+
+# Django stuff:
+*.log
+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
+.idea
+.DS_Store
+.vscode
+
+
+*.txt
+docs/scripts/set_env.sh
+key.yaml
+output.json
+data
+data/output_add.json
+data.ms
+examples/nb/
+.chroma
+*~$*
+workspace/*
+*.mmd
+tmp
+output.wav
+*.bak
+
+# output folder
+output
+tmp.png
+

.pre-commit-config.yaml

@@ -0,0 +1,27 @@
+default_stages: [ commit ]
+
+# Install
+# 1. pip install pre-commit
+# 2. pre-commit install(the first time you download the repo, it will be cached for future use)
+repos:
+  - repo: https://github.com/pycqa/isort
+    rev: 5.11.5
+    hooks:
+      - id: isort
+        args: ['--profile', 'black']
+        exclude: >-
+            (?x)^(
+            .*__init__\.py$
+            )
+
+  - repo: https://github.com/astral-sh/ruff-pre-commit
+    # Ruff version.
+    rev: v0.0.284
+    hooks:
+      - id: ruff
+
+  - repo: https://github.com/psf/black
+    rev: 23.3.0
+    hooks:
+      - id: black
+        args: ['--line-length', '120']

Dockerfile

@@ -0,0 +1,32 @@
+# Use a base image with Python3.9 and Nodejs20 slim version
+FROM nikolaik/python-nodejs:python3.9-nodejs20-slim
+
+USER root
+
+# 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 &&\
+    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 requirements.txt requirements.txt
+
+RUN pip install --no-cache-dir -r requirements.txt
+
+COPY . /app/metagpt
+WORKDIR /app/metagpt
+RUN mkdir logs &&\
+    chmod -R 777 /app/metagpt/logs/ &&\
+    mkdir workspace &&\
+    chmod -R 777 /app/metagpt/workspace/ &&\
+    python -m pip install -e.
+
+
+CMD ["python", "metagpt/web/app.py"]

LICENSE

@@ -0,0 +1,21 @@
+The MIT License
+
+Copyright (c) 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.

README.md

@@ -1,11 +1,148 @@
 ---
-title: MG
-emoji: 📉
-colorFrom: red
-colorTo: yellow
+title: MetaGPT
+emoji: 🐼
+colorFrom: green
+colorTo: blue
 sdk: docker
+app_file: app.py
 pinned: false
-license: mit
 ---
 
-Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
+# 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 software company, collaborating to tackle more complex tasks." width="150px"></a>
+</p>
+
+<p align="center">
+<b>Assign different roles to GPTs to form a collaborative software entity for complex tasks.</b>
+</p>
+
+<p align="center">
+<a href="docs/README_CN.md"><img src="https://img.shields.io/badge/文档-中文版-blue.svg" alt="CN doc"></a>
+<a href="README.md"><img src="https://img.shields.io/badge/document-English-blue.svg" alt="EN doc"></a>
+<a href="docs/README_JA.md"><img src="https://img.shields.io/badge/ドキュメント-日本語-blue.svg" alt="JA doc"></a>
+<a href="https://discord.gg/DYn29wFk9z"><img src="https://dcbadge.vercel.app/api/server/DYn29wFk9z?style=flat" alt="Discord Follow"></a>
+<a href="https://opensource.org/licenses/MIT"><img src="https://img.shields.io/badge/License-MIT-blue.svg" alt="License: MIT"></a>
+<a href="docs/ROADMAP.md"><img src="https://img.shields.io/badge/ROADMAP-路线图-blue" alt="roadmap"></a>
+<a href="https://twitter.com/MetaGPT_"><img src="https://img.shields.io/twitter/follow/MetaGPT?style=social" alt="Twitter Follow"></a>
+</p>
+
+<p align="center">
+   <a href="https://vscode.dev/redirect?url=vscode://ms-vscode-remote.remote-containers/cloneInVolume?url=https://github.com/geekan/MetaGPT"><img src="https://img.shields.io/static/v1?label=Dev%20Containers&message=Open&color=blue&logo=visualstudiocode" alt="Open in Dev Containers"></a>
+   <a href="https://codespaces.new/geekan/MetaGPT"><img src="https://img.shields.io/badge/Github_Codespace-Open-blue?logo=github" alt="Open in GitHub Codespaces"></a>
+   <a href="https://huggingface.co/spaces/deepwisdom/MetaGPT" target="_blank"><img alt="Hugging Face" src="https://img.shields.io/badge/%F0%9F%A4%97%20-Hugging%20Face-blue?color=blue&logoColor=white" /></a>
+</p>
+
+1. MetaGPT takes a **one line requirement** as input and outputs **user stories / competitive analysis / requirements / data structures / APIs / documents, etc.**
+2. Internally, MetaGPT includes **product managers / architects / project managers / engineers.** It provides the entire process of a **software company along with carefully orchestrated SOPs.**
+   1. `Code = SOP(Team)` is the core philosophy. We materialize SOP and apply it to teams composed of LLMs.
+
+![A software company consists of LLM-based roles](docs/resources/software_company_cd.jpeg)
+
+<p align="center">Software Company Multi-Role Schematic (Gradually Implementing)</p>
+
+
+
+## Install
+
+### Pip 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: run the startup.py
+# setup your OPENAI_API_KEY in key.yaml copy from config.yaml
+python3 startup.py "Write a cli snake game"
+
+# Step 4 [Optional]: If you want to save the artifacts like diagrams such as quadrant chart, system designs, sequence flow in the workspace, you can execute the step before Step 3. By default, the framework is compatible, and the entire process can be run completely without executing this step.
+# If executing, ensure that NPM is installed on your system. Then install mermaid-js. (If you don't have npm in your computer, please go to the Node.js official website to install Node.js https://nodejs.org/ and then you will have npm tool in your computer.)
+npm --version
+sudo npm install -g @mermaid-js/mermaid-cli
+```
+
+detail installation please refer to [cli_install](https://docs.deepwisdom.ai/guide/get_started/installation.html#install-stable-version)
+
+### Docker installation
+> Note: In the Windows, you need to replace "/opt/metagpt" with a directory that Docker has permission to create, such as "D:\Users\x\metagpt"
+
+```bash
+# Step 1: Download metagpt official image and prepare config.yaml
+docker pull metagpt/metagpt:latest
+mkdir -p /opt/metagpt/{config,workspace}
+docker run --rm metagpt/metagpt:latest cat /app/metagpt/config/config.yaml > /opt/metagpt/config/key.yaml
+vim /opt/metagpt/config/key.yaml # Change the config
+
+# Step 2: Run metagpt demo with container
+docker run --rm \
+    --privileged \
+    -v /opt/metagpt/config/key.yaml:/app/metagpt/config/key.yaml \
+    -v /opt/metagpt/workspace:/app/metagpt/workspace \
+    metagpt/metagpt:latest \
+    python startup.py "Write a cli snake game"
+```
+
+detail installation please refer to [docker_install](https://docs.deepwisdom.ai/guide/get_started/installation.html#install-with-docker)
+
+### QuickStart & Demo Video
+- Try it on [MetaGPT Huggingface Space](https://huggingface.co/spaces/deepwisdom/MetaGPT)
+- [Matthew Berman: How To Install MetaGPT - Build A Startup With One Prompt!!](https://youtu.be/uT75J_KG_aY)
+- [Official Demo Video](https://github.com/geekan/MetaGPT/assets/2707039/5e8c1062-8c35-440f-bb20-2b0320f8d27d)
+
+https://github.com/geekan/MetaGPT/assets/34952977/34345016-5d13-489d-b9f9-b82ace413419
+
+## Tutorial
+
+- 🗒 [Online Document](https://docs.deepwisdom.ai/)
+- 💻 [Usage](https://docs.deepwisdom.ai/guide/get_started/quickstart.html)  
+- 🔎 [What can MetaGPT do?](https://docs.deepwisdom.ai/guide/get_started/introduction.html)
+- 🛠 How to build your own agents? 
+  - [MetaGPT Usage & Development Guide | Agent 101](https://docs.deepwisdom.ai/guide/tutorials/agent_101.html)
+  - [MetaGPT Usage & Development Guide | MultiAgent 101](https://docs.deepwisdom.ai/guide/tutorials/multi_agent_101.html)
+- 🧑‍💻 Contribution
+  - [Develop Roadmap](docs/ROADMAP.md)
+- 🔖 Use Cases
+  - [Debate](https://docs.deepwisdom.ai/guide/use_cases/multi_agent/debate.html)
+  - [Researcher](https://docs.deepwisdom.ai/guide/use_cases/agent/researcher.html)
+  - [Recepit Assistant](https://docs.deepwisdom.ai/guide/use_cases/agent/receipt_assistant.html)
+- ❓ [FAQs](https://docs.deepwisdom.ai/guide/faq.html)
+
+## Support
+
+### Discard Join US
+📢 Join Our [Discord Channel](https://discord.gg/ZRHeExS6xv)!
+
+Looking forward to seeing you there! 🎉
+
+### Contact Information
+
+If you have any questions or feedback about this project, please feel free to contact us. We highly appreciate your suggestions!
+
+- **Email:** [email protected]
+- **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
+
+For now, cite the [arXiv paper](https://arxiv.org/abs/2308.00352):
+
+```bibtex
+@misc{hong2023metagpt,
+      title={MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework}, 
+      author={Sirui Hong and Mingchen Zhuge and Jonathan Chen and Xiawu Zheng and Yuheng Cheng and Ceyao Zhang and Jinlin Wang and Zili Wang and Steven Ka Shing Yau and Zijuan Lin and Liyang Zhou and Chenyu Ran and Lingfeng Xiao and Chenglin Wu and Jürgen Schmidhuber},
+      year={2023},
+      eprint={2308.00352},
+      archivePrefix={arXiv},
+      primaryClass={cs.AI}
+}
+```

agent/roles/__init__.py

@@ -0,0 +1,2 @@
+#!/usr/bin/env python
+# -*- coding: utf-8 -*-

agent/roles/software_company.py

@@ -0,0 +1,313 @@
+import json
+import os
+from pathlib import Path
+
+import aiofiles
+from aiobotocore.session import get_session
+from mdutils.mdutils import MdUtils
+from metagpt.actions import Action, WriteCodeReview
+from metagpt.actions.design_api import WriteDesign
+from metagpt.actions.prepare_documents import PrepareDocuments
+from metagpt.actions.project_management import WriteTasks
+from metagpt.actions.summarize_code import SummarizeCode
+from metagpt.actions.write_code import WriteCode
+from metagpt.actions.write_prd import WritePRD
+from metagpt.config import CONFIG
+from metagpt.const import (
+    CODE_SUMMARIES_FILE_REPO,
+    COMPETITIVE_ANALYSIS_FILE_REPO,
+    DATA_API_DESIGN_FILE_REPO,
+    DOCS_FILE_REPO,
+    PRDS_FILE_REPO,
+    REQUIREMENT_FILENAME,
+    SEQ_FLOW_FILE_REPO,
+    SYSTEM_DESIGN_FILE_REPO,
+    TASK_FILE_REPO,
+)
+from metagpt.environment import Environment
+from metagpt.roles import Architect, Engineer, ProductManager, ProjectManager, Role
+from metagpt.schema import Message, MessageQueue
+from metagpt.team import Team
+from metagpt.utils.common import any_to_str, is_subscribed
+from metagpt.utils.file_repository import FileRepository
+from pydantic import Field
+from zipstream import AioZipStream
+
+
+class RoleRun(Action):
+    role: Role
+    desc: str  # f"{role.profile} {role.todo}"
+
+
+class SoftwareCompanyEnv(Environment):
+    buf: MessageQueue = Field(default_factory=MessageQueue)
+    peek_buf: MessageQueue = Field(default_factory=MessageQueue)
+
+    def publish_message(self, message: Message, peekable: bool = True) -> bool:
+        self.buf.push(msg=message)
+        if peekable:
+            self.peek_buf.push(msg=message)
+        return True
+
+    def peek_messages(self):
+        return self.peek_buf.pop_all()
+
+    def get_message(self):
+        return self.buf.pop()
+
+
+class SoftwareCompany(Role):
+    """封装软件公司成角色，以快速接入agent store。"""
+
+    company: Team = Field(default_factory=Team)
+
+    def __init__(self, **kwargs):
+        super().__init__(**kwargs)
+        self.company.env = SoftwareCompanyEnv()
+        self.company.hire([ProductManager(), Architect(), ProjectManager(), Engineer(n_borg=5)])
+
+    async def _think(self) -> bool:
+        """软件公司运行需要4轮
+
+        BOSS            -> ProductManager -> Architect   -> ProjectManager -> Engineer
+        BossRequirement -> WritePRD       -> WriteDesign -> WriteTasks     -> WriteCode
+        """
+        while msg := self.company.env.get_message():
+            for role in self.company.env.roles.values():
+                if not is_subscribed(message=msg, tags=role.subscription) or not role.is_watch(caused_by=msg.cause_by):
+                    continue
+                role.put_message(message=msg)
+                self.rc.todo = RoleRun(role=role, desc=f"{role.profile} {role.todo}")
+                return True
+        self.rc.todo = None
+        return False
+
+    async def _act(self) -> Message:
+        await self.company.run(1, auto_archive=False)
+        msgs = self.company.env.peek_messages()
+        mappings = {
+            any_to_str(PrepareDocuments): self.format_requirements,
+            any_to_str(WritePRD): self.format_prd,
+            any_to_str(WriteDesign): self.format_system_design,
+            any_to_str(WriteTasks): self.format_task,
+            any_to_str(WriteCode): self.format_code,
+            any_to_str(WriteCodeReview): self.format_code,
+            any_to_str(SummarizeCode): self.format_summarize_code,
+        }
+        for msg in msgs:
+            func = mappings.get(msg.cause_by)
+            if not func:
+                continue
+            output = await func(msg)
+            return output
+
+    async def format_requirements(self, msg: Message):
+        mdfile = MdUtils("")
+        doc = await FileRepository.get_file(filename=REQUIREMENT_FILENAME, relative_path=DOCS_FILE_REPO)
+        mdfile.new_header(2, "New Requirements", add_table_of_contents="n")
+        mdfile.new_paragraph(text=doc.content)
+        return Message(mdfile.get_md_text(), cause_by=msg.cause_by, role=msg.role)
+
+    async def format_summarize_code(self, msg: Message):
+        mdfile = MdUtils("")
+        docs = await FileRepository.get_all_files(relative_path=CODE_SUMMARIES_FILE_REPO)
+        if not docs:
+            mdfile.new_header(2, "Code Summaries", add_table_of_contents="n")
+            mdfile.new_paragraph(text="Pass.")
+            return Message(mdfile.get_md_text(), cause_by=msg.cause_by, role=msg.role)
+
+        ix = 0
+        for doc in docs:
+            if ix > 0:
+                mdfile.new_line("---")
+            ix += 1
+            mdfile.new_header(1, "RID:" + str(Path(doc.filename).with_suffix("")), add_table_of_contents="n")
+            data = json.loads(doc.content)
+            mdfile.new_header(2, "File names", add_table_of_contents="n")
+            mdfile.new_list(data.get("codes_filenames", []))
+
+            mdfile.new_header(2, "Summary", add_table_of_contents="n")
+            mdfile.insert_code(data.get("reason", ""), "json")
+        return Message(mdfile.get_md_text(), cause_by=msg.cause_by, role=msg.role)
+
+    async def format_prd(self, prd: Message):
+        mdfile = MdUtils("")
+        docs = await FileRepository.get_all_files(relative_path=PRDS_FILE_REPO)
+        ix = 0
+        for doc in docs:
+            filename = Path(doc.filename)
+            if ix > 0:
+                mdfile.new_line("---")
+            ix += 1
+            mdfile.new_header(1, "RID:" + str(filename.with_suffix("")), add_table_of_contents="n")
+
+            data = json.loads(doc.content)
+            for title, content in data.items():
+                if title == "Competitive Analysis":
+                    mdfile.new_header(2, title, add_table_of_contents="n")
+                    if all(i.count(":") == 1 for i in content):
+                        mdfile.new_table(
+                            2,
+                            len(content) + 1,
+                            ["Competitor", "Description", *(i for j in content for i in j.split(":"))],
+                        )
+                    else:
+                        mdfile.new_list(content, marked_with="1")
+                elif title == "Competitive Quadrant Chart":
+                    mdfile.new_header(2, title, add_table_of_contents="n")
+                    competitive_analysis_path = (
+                        CONFIG.git_repo.workdir / COMPETITIVE_ANALYSIS_FILE_REPO / filename.with_suffix(".png")
+                    )
+                    if not await self._add_s3_url(md_file=mdfile, title=title, pathname=competitive_analysis_path):
+                        mdfile.insert_code(content, "mermaid")
+                elif title == "Requirement Pool":
+                    mdfile.new_header(2, title, add_table_of_contents="n")
+                    mdfile.new_table(
+                        2, len(content) + 1, ["Task Description", "Priority", *(i for j in content for i in j)]
+                    )
+                elif isinstance(content, list):
+                    mdfile.new_header(2, title, add_table_of_contents="n")
+                    mdfile.new_list(content, marked_with="1")
+                else:
+                    mdfile.new_header(2, title, add_table_of_contents="n")
+                    mdfile.new_paragraph(content)
+        return Message(mdfile.get_md_text(), cause_by=prd.cause_by, role=prd.role)
+
+    async def format_system_design(self, design: Message):
+        mdfile = MdUtils("")
+        docs = await FileRepository.get_all_files(relative_path=SYSTEM_DESIGN_FILE_REPO)
+        ix = 0
+        for doc in docs:
+            filename = Path(doc.filename)
+            if ix > 0:
+                mdfile.new_line("---")
+            ix += 1
+            mdfile.new_header(1, "RID:" + str(filename.with_suffix("")), add_table_of_contents="n")
+
+            data = json.loads(doc.content)
+            for title, content in data.items():
+                if title == "Project name":
+                    mdfile.new_header(2, title, add_table_of_contents="n")
+                    mdfile.insert_code(content, "python")
+                elif title == "Data structures and interfaces":
+                    mdfile.new_header(2, title, add_table_of_contents="n")
+                    data_api_design_path = (
+                        CONFIG.git_repo.workdir / DATA_API_DESIGN_FILE_REPO / filename.with_suffix(".png")
+                    )
+                    if not await self._add_s3_url(md_file=mdfile, title=title, pathname=data_api_design_path):
+                        mdfile.insert_code(content, "mermaid")
+                elif title == "Program call flow":
+                    mdfile.new_header(2, title, add_table_of_contents="n")
+                    seq_flow_path = CONFIG.git_repo.workdir / SEQ_FLOW_FILE_REPO / filename.with_suffix(".png")
+                    if not await self._add_s3_url(md_file=mdfile, title=title, pathname=seq_flow_path):
+                        mdfile.insert_code(content, "mermaid")
+                elif isinstance(content, list):
+                    mdfile.new_header(2, title, add_table_of_contents="n")
+                    mdfile.new_list(content, marked_with="1")
+                else:
+                    mdfile.new_header(2, title, add_table_of_contents="n")
+                    mdfile.new_paragraph(content)
+        return Message(mdfile.get_md_text(), cause_by=design.cause_by, role=design.role)
+
+    async def format_task(self, task: Message):
+        mdfile = MdUtils("")
+        docs = await FileRepository.get_all_files(relative_path=TASK_FILE_REPO)
+        ix = 0
+        for doc in docs:
+            filename = Path(doc.filename)
+            if ix > 0:
+                mdfile.new_line("---")
+            ix += 1
+            mdfile.new_header(1, "RID:" + str(filename.with_suffix("")), add_table_of_contents="n")
+
+            data = json.loads(doc.content)
+            for title, content in data.items():
+                if title in {
+                    "Required Python third-party packages",
+                    "Required Other language third-party packages",
+                    "Task list",
+                }:
+                    mdfile.new_header(2, title, add_table_of_contents="n")
+                    mdfile.new_list(content)
+                elif title == "Full API spec":
+                    mdfile.new_header(2, title, add_table_of_contents="n")
+                    mdfile.insert_code(content, "text")
+                elif title == "Logic Analysis":
+                    mdfile.new_header(2, title, add_table_of_contents="n")
+                    mdfile.new_table(
+                        2, len(content) + 1, ["Filename", "Class/Function Name", *(i for j in content for i in j)]
+                    )
+                elif title == "Shared Knowledge":
+                    mdfile.new_header(2, title=title, add_table_of_contents="n")
+                    mdfile.insert_code(content, "text")
+                elif isinstance(content, list):
+                    mdfile.new_header(2, title, add_table_of_contents="n")
+                    mdfile.new_list(content, marked_with="1")
+                else:
+                    mdfile.new_header(2, title=title, add_table_of_contents="n")
+                    mdfile.new_paragraph(text=content)
+        return Message(mdfile.get_md_text(), cause_by=task.cause_by, role=task.role)
+
+    async def format_code(self, code: Message):
+        mdfile = MdUtils("")
+        docs = await FileRepository.get_all_files(relative_path=CONFIG.src_workspace)
+        code_block_types = {
+            ".py": "python",
+            ".yaml": "yaml",
+            ".yml": "yaml",
+            ".json": "json",
+            ".js": "javascript",
+            ".sql": "sql",
+        }
+        for doc in docs:
+            mdfile.new_header(2, doc.filename, add_table_of_contents="n")
+            suffix = doc.filename.rsplit(".", maxsplit=1)[-1]
+            mdfile.insert_code(doc.content, code_block_types.get(suffix, "text"))
+        url = await self.upload()
+        mdfile.new_header(2, "Project Packaging Complete", add_table_of_contents="n")
+        mdfile.new_paragraph(
+            "We are thrilled to inform you that our project has been successfully packaged "
+            "and is ready for download and use. You can download the packaged project through"
+            f" the following link:\n[Project Download Link]({url})"
+        )
+        return Message(mdfile.get_md_text(), cause_by=code.cause_by, role=code.role)
+
+    async def upload_file_to_s3(self, filepath: str, key: str):
+        async with aiofiles.open(filepath, "rb") as f:
+            content = await f.read()
+            return await self.upload_to_s3(content, key)
+
+    async def upload_to_s3(self, content: bytes, key: str):
+        session = get_session()
+        async with session.create_client(
+            "s3",
+            aws_secret_access_key=os.getenv("S3_SECRET_KEY"),
+            aws_access_key_id=os.getenv("S3_ACCESS_KEY"),
+            endpoint_url=os.getenv("S3_ENDPOINT_URL"),
+            use_ssl=os.getenv("S3_SECURE"),
+        ) as client:
+            # upload object to amazon s3
+            bucket = os.getenv("S3_BUCKET")
+            await client.put_object(Bucket=bucket, Key=key, Body=content)
+            return f"{os.getenv('S3_ENDPOINT_URL')}/{bucket}/{key}"
+
+    async def upload(self):
+        files = []
+        all_filenames = CONFIG.git_repo.get_files(relative_path=".")
+        for filename in all_filenames:
+            full_path = CONFIG.git_repo.workdir / filename
+            files.append({"file": str(full_path), "name": str(filename)})
+        # aiozipstream
+        chunks = []
+        async for chunk in AioZipStream(files, chunksize=32768).stream():
+            chunks.append(chunk)
+        key = f"{CONFIG.workspace_path.name}/metagpt-{CONFIG.git_repo.workdir.name}.zip"
+        return await self.upload_to_s3(b"".join(chunks), key)
+
+    async def _add_s3_url(self, md_file: MdUtils, title: str, pathname: Path) -> bool:
+        if pathname.exists():
+            key = pathname.relative_to(CONFIG.workspace_path.parent)
+            url = await self.upload_file_to_s3(filepath=str(pathname), key=str(key))
+            md_file.new_line(md_file.new_inline_image(title, url))
+            return True
+        return False

agent/static/cy_aps/assets/__commonjsHelpers__-042e6b4d.js

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+var f=typeof globalThis<"u"?globalThis:typeof window<"u"?window:typeof global<"u"?global:typeof self<"u"?self:{};function l(e){return e&&e.__esModule&&Object.prototype.hasOwnProperty.call(e,"default")?e.default:e}function a(e){if(e.__esModule)return e;var r=e.default;if(typeof r=="function"){var o=function n(){if(this instanceof n){var t=[null];t.push.apply(t,arguments);var u=Function.bind.apply(r,t);return new u}return r.apply(this,arguments)};o.prototype=r.prototype}else o={};return Object.defineProperty(o,"__esModule",{value:!0}),Object.keys(e).forEach(function(n){var t=Object.getOwnPropertyDescriptor(e,n);Object.defineProperty(o,n,t.get?t:{enumerable:!0,get:function(){return e[n]}})}),o}export{a,f as c,l as g};

agent/static/cy_aps/assets/example-c23c1e5e.mp4

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+oid sha256:c23c1e5e721d05c000d3cae32e33c3883b7736b9e059a674dc6a2093c24ba4fd
+size 14430374

agent/static/cy_aps/assets/index-5df855a0.js

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agent/static/cy_aps/assets/login-684ccf2f.js

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+import{d as H,f as v,h as w,N as U,a1 as b,r as _,a as x,c as S,o as F,l,v as s,q as t,$ as e,u as i,t as n,a2 as T}from"./vue-e0bc46a9.js";import{t as h,u as R,P as V,l as q}from"./index-5df855a0.js";import{F as f,I as L,B as G,g as N,h as E,L as g,i as z}from"./vendor-4cd7d240.js";import"./__commonjsHelpers__-042e6b4d.js";const A={width:"111",height:"23",viewBox:"0 0 111 23",fill:"none",xmlns:"http://www.w3.org/2000/svg"},I=U('<path fill-rule="evenodd" clip-rule="evenodd" d="M20.3557 17.1143C18.3798 20.1442 14.9605 22.147 11.0735 22.147C4.95777 22.147 0 17.1892 0 11.0735C0 4.95777 4.95777 0 11.0735 0C14.7962 0 18.0898 1.83697 20.0974 4.65391C19.6754 5.23439 19.2963 5.8095 18.9874 6.34413C18.615 6.98892 18.2368 8.23682 18.2368 8.23682C18.2368 8.23682 19.1135 6.73114 19.5206 6.13508C19.6982 5.87516 19.905 5.61105 20.0755 5.39339C20.1919 5.24472 20.2914 5.11768 20.353 5.02848L20.3557 5.03266C22.3316 2.00275 25.7508 0 29.6379 0C35.7536 0 40.7113 4.95777 40.7113 11.0735C40.7113 17.1892 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fill="white"></path><defs><radialGradient id="paint0_radial_3275_99396" cx="0" cy="0" r="1" gradientUnits="userSpaceOnUse" gradientTransform="translate(18.3917 9.75161) rotate(90) scale(12.3957)"><stop stop-color="#582AFF"></stop><stop offset="1" stop-color="#582AFF" stop-opacity="0"></stop></radialGradient><linearGradient id="paint1_linear_3275_99396" x1="8.37635" y1="1.52165" x2="19.1719" y2="7.92579" gradientUnits="userSpaceOnUse"><stop offset="0.15027" stop-color="#5329EA" stop-opacity="0"></stop><stop offset="1" stop-color="#5027E4" stop-opacity="0.82"></stop></linearGradient></defs>',5),O=[I],P=H({__name:"LogoWhite",setup(k){return(p,c)=>(v(),w("svg",A,O))}}),W={class:"login"},D={class:"loginbg"},j=l("div",{class:"title"},"MetaGPT",-1),J={class:"loginform"},K={style:{width:"418px"}},Q={class:"formTitle"},X={class:"toolBoxBtn"},Y={class:"desc"},o1=H({__name:"login",setup(k){const 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F(()=>{Z()&&p.replace({name:V.home})}),(a,o)=>(v(),w("div",W,[l("div",D,[s(P,{class:"logiWhite"}),j]),l("div",J,[l("div",K,[s(e(z),{ref_key:"formRef",ref:c,model:e(C),rules:e(M)},{default:t(()=>[s(e(f),{"hide-label":""},{default:t(()=>[l("div",Q,i(a.$t("账号登录")),1)]),_:1}),s(e(f),{"hide-label":"",field:"username"},{default:t(()=>[s(e(L),{modelValue:e(C).username,"onUpdate:modelValue":o[0]||(o[0]=r=>e(C).username=r),placeholder:a.$t("用户名/邮箱"),size:"large"},null,8,["modelValue","placeholder"])]),_:1}),s(e(f),{"hide-label":"",field:"password"},{default:t(()=>[s(e(L),{modelValue:e(C).password,"onUpdate:modelValue":o[1]||(o[1]=r=>e(C).password=r),type:"password",placeholder:a.$t("密码"),size:"large"},null,8,["modelValue","placeholder"])]),_:1}),s(e(G),{type:"primary",long:"",size:"large",disabled:!e(d),loading:e(u),onClick:$},{default:t(()=>[n(i(a.$t("登录")),1)]),_:1},8,["disabled","loading"]),s(e(N),{class:"spaceBTW 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agent/static/index.html

@@ -0,0 +1,22 @@
+<!DOCTYPE html>
+<html lang="en">
+
+<head>
+  <meta charset="UTF-8" />
+  <meta name="viewport" content="width=device-width, initial-scale=1.0" />
+  <link rel="shortcut icon" href="https://public-frontend-1300249583.cos-website.ap-nanjing.myqcloud.com/cy_aps/assets/favicon-beef0aa9.ico" type="image/x-icon" />
+  <title>meta-gpt</title>
+  <script type="module" crossorigin src="https://public-frontend-1300249583.cos-website.ap-nanjing.myqcloud.com/cy_aps/assets/index-5df855a0.js"></script>
+  <link rel="modulepreload" crossorigin href="https://public-frontend-1300249583.cos-website.ap-nanjing.myqcloud.com/cy_aps/assets/vue-e0bc46a9.js">
+  <link rel="modulepreload" crossorigin href="https://public-frontend-1300249583.cos-website.ap-nanjing.myqcloud.com/cy_aps/assets/__commonjsHelpers__-042e6b4d.js">
+  <link rel="modulepreload" crossorigin href="https://public-frontend-1300249583.cos-website.ap-nanjing.myqcloud.com/cy_aps/assets/vendor-4cd7d240.js">
+  <link rel="stylesheet" href="https://public-frontend-1300249583.cos-website.ap-nanjing.myqcloud.com/cy_aps/assets/style-86c4771e.css">
+</head>
+
+<body>
+  <div id="app"></div>
+  
+  <script src="//at.alicdn.com/t/c/font_4154416_ztcldmhaba.js"></script>
+</body>
+
+</html>

agent/web/app.py

@@ -0,0 +1,223 @@
+#!/usr/bin/python3
+# -*- coding: utf-8 -*-
+
+import urllib.parse
+import uuid
+from datetime import datetime
+from enum import Enum
+from typing import Any, Optional
+
+import fire
+import uvicorn
+from fastapi import FastAPI, HTTPException, Request
+from fastapi.responses import RedirectResponse, StreamingResponse
+from fastapi.staticfiles import StaticFiles
+from metagpt.actions.action import Action
+from metagpt.actions.action_output import ActionOutput
+from metagpt.config import CONFIG
+from pydantic import BaseModel, Field
+
+from agent.roles.software_company import RoleRun, SoftwareCompany
+
+
+class QueryAnswerType(Enum):
+    Query = "Q"
+    Answer = "A"
+
+
+class SentenceType(Enum):
+    TEXT = "text"
+    HIHT = "hint"
+    ACTION = "action"
+
+
+class MessageStatus(Enum):
+    COMPLETE = "complete"
+
+
+class SentenceValue(BaseModel):
+    answer: str
+
+
+class Sentence(BaseModel):
+    type: str
+    id: Optional[str] = None
+    value: SentenceValue
+    is_finished: Optional[bool] = None
+
+
+class Sentences(BaseModel):
+    id: Optional[str] = None
+    action: Optional[str] = None
+    role: Optional[str] = None
+    skill: Optional[str] = None
+    description: Optional[str] = None
+    timestamp: str = datetime.now().strftime("%Y-%m-%dT%H:%M:%S.%f%z")
+    status: str
+    contents: list[Sentence]
+
+
+class NewMsg(BaseModel):
+    """Chat with MetaGPT"""
+
+    query: str = Field(description="Problem description")
+    config: dict[str, Any] = Field(description="Configuration information")
+
+
+class ErrorInfo(BaseModel):
+    error: str = None
+    traceback: str = None
+
+
+class ThinkActStep(BaseModel):
+    id: str
+    status: str
+    title: str
+    timestamp: str
+    description: str
+    content: Sentence = None
+
+
+class ThinkActPrompt(BaseModel):
+    message_id: int = None
+    timestamp: str = datetime.now().strftime("%Y-%m-%dT%H:%M:%S.%f%z")
+    step: ThinkActStep = None
+    skill: Optional[str] = None
+    role: Optional[str] = None
+
+    def update_think(self, tc_id, action: Action):
+        self.step = ThinkActStep(
+            id=str(tc_id),
+            status="running",
+            title=action.desc,
+            timestamp=datetime.now().strftime("%Y-%m-%dT%H:%M:%S.%f%z"),
+            description=action.desc,
+        )
+
+    def update_act(self, message: ActionOutput):
+        self.step.status = "finish"
+        self.step.content = Sentence(
+            type="text",
+            id=ThinkActPrompt.guid32(),
+            value=SentenceValue(answer=message.content),
+            is_finished=True,
+        )
+
+    @staticmethod
+    def guid32():
+        return str(uuid.uuid4()).replace("-", "")[0:32]
+
+    @property
+    def prompt(self):
+        v = self.model_dump_json()
+        return urllib.parse.quote(v)
+
+
+class MessageJsonModel(BaseModel):
+    steps: list[Sentences]
+    qa_type: str
+    created_at: datetime = datetime.now()
+    query_time: datetime = datetime.now()
+    answer_time: datetime = datetime.now()
+    score: Optional[int] = None
+    feedback: Optional[str] = None
+
+    def add_think_act(self, think_act_prompt: ThinkActPrompt):
+        s = Sentences(
+            action=think_act_prompt.step.title,
+            skill=think_act_prompt.skill,
+            description=think_act_prompt.step.description,
+            timestamp=think_act_prompt.timestamp,
+            status=think_act_prompt.step.status,
+            contents=[think_act_prompt.step.content.model_dump()],
+        )
+        self.steps.append(s)
+
+    @property
+    def prompt(self):
+        v = self.model_dump_json(exclude_unset=True)
+        return urllib.parse.quote(v)
+
+
+async def create_message(req_model: NewMsg, request: Request):
+    """
+    Session message stream
+    """
+    config = {k.upper(): v for k, v in req_model.config.items()}
+    CONFIG.set_context(config)
+    role = SoftwareCompany()
+    role.company.run_project(idea=req_model.query)
+    answer = MessageJsonModel(
+        steps=[
+            Sentences(
+                contents=[
+                    Sentence(
+                        type=SentenceType.TEXT.value, value=SentenceValue(answer=req_model.query), is_finished=True
+                    )
+                ],
+                status=MessageStatus.COMPLETE.value,
+            )
+        ],
+        qa_type=QueryAnswerType.Answer.value,
+    )
+
+    tc_id = 0
+
+    while True:
+        tc_id += 1
+        if request and await request.is_disconnected():
+            return
+        think_result: RoleRun = await role.think()
+        if not think_result:  # End of conversion
+            break
+        think_act_prompt = ThinkActPrompt(role=think_result.role.profile)
+        think_act_prompt.update_think(tc_id, think_result)
+        yield think_act_prompt.prompt + "\n\n"
+        act_result = await role.act()
+        think_act_prompt.update_act(act_result)
+        yield think_act_prompt.prompt + "\n\n"
+        answer.add_think_act(think_act_prompt)
+    yield answer.prompt + "\n\n"  # Notify the front-end that the message is complete.
+
+
+class ChatHandler:
+    @staticmethod
+    async def create_message(req_model: NewMsg, request: Request):
+        """Message stream, using SSE."""
+        event = create_message(req_model, request)
+        headers = {"Cache-Control": "no-cache", "Connection": "keep-alive"}
+        return StreamingResponse(event, headers=headers, media_type="text/event-stream")
+
+
+app = FastAPI()
+
+app.mount(
+    "/static",
+    StaticFiles(directory="./agent/static/", check_dir=True),
+    name="static",
+)
+app.add_api_route(
+    "/api/messages",
+    endpoint=ChatHandler.create_message,
+    methods=["post"],
+    summary="Session message sending (streaming response)",
+)
+
+
+@app.get("/{catch_all:path}")
+async def catch_all(request: Request):
+    if request.url.path == "/":
+        return RedirectResponse(url="/static/index.html")
+    if request.url.path.startswith("/api"):
+        raise HTTPException(status_code=404)
+
+    new_path = f"/static{request.url.path}"
+    return RedirectResponse(url=new_path)
+
+
+def main():
+    uvicorn.run(app="__main__:app", host="0.0.0.0", port=7860)
+
+
+if __name__ == "__main__":
+    fire.Fire(main)

config/config.yaml

@@ -0,0 +1,145 @@
+# DO NOT MODIFY THIS FILE, create a new key.yaml, define OPENAI_API_KEY.
+# The configuration of key.yaml has a higher priority and will not enter git
+
+#### Project Path Setting
+# WORKSPACE_PATH: "Path for placing output files"
+
+#### if OpenAI
+## The official OPENAI_BASE_URL is https://api.openai.com/v1
+## If the official OPENAI_BASE_URL is not available, we recommend using the [openai-forward](https://github.com/beidongjiedeguang/openai-forward).
+## Or, you can configure OPENAI_PROXY to access official OPENAI_BASE_URL.
+OPENAI_BASE_URL: "https://api.openai.com/v1"
+#OPENAI_PROXY: "http://127.0.0.1:8118"
+#OPENAI_API_KEY: "YOUR_API_KEY"  # set the value to sk-xxx if you host the openai interface for open llm model
+OPENAI_API_MODEL: "gpt-4-1106-preview"
+MAX_TOKENS: 4096
+RPM: 10
+LLM_TYPE: OpenAI  # Except for these three major models – OpenAI, MetaGPT LLM, and Azure – other large models can be distinguished based on the validity of the key.
+TIMEOUT: 60 # Timeout for llm invocation
+DEFAULT_PROVIDER: openai
+
+#### if Spark
+#SPARK_APPID : "YOUR_APPID"
+#SPARK_API_SECRET : "YOUR_APISecret"
+#SPARK_API_KEY : "YOUR_APIKey"
+#DOMAIN : "generalv2"
+#SPARK_URL : "ws://spark-api.xf-yun.com/v2.1/chat"
+
+#### if Anthropic
+#ANTHROPIC_API_KEY: "YOUR_API_KEY"
+
+#### if AZURE, check https://github.com/openai/openai-cookbook/blob/main/examples/azure/chat.ipynb
+#OPENAI_API_TYPE: "azure"
+#OPENAI_BASE_URL: "YOUR_AZURE_ENDPOINT"
+#OPENAI_API_KEY: "YOUR_AZURE_API_KEY"
+#OPENAI_API_VERSION: "YOUR_AZURE_API_VERSION"
+#DEPLOYMENT_NAME: "YOUR_DEPLOYMENT_NAME"
+
+#### if zhipuai from `https://open.bigmodel.cn`. You can set here or export API_KEY="YOUR_API_KEY"
+# ZHIPUAI_API_KEY: "YOUR_API_KEY"
+
+#### if Google Gemini from `https://ai.google.dev/` and API_KEY from `https://makersuite.google.com/app/apikey`.
+#### You can set here or export GOOGLE_API_KEY="YOUR_API_KEY"
+# GEMINI_API_KEY: "YOUR_API_KEY"
+
+#### if use self-host open llm model with openai-compatible interface
+#OPEN_LLM_API_BASE: "http://127.0.0.1:8000/v1"
+#OPEN_LLM_API_MODEL: "llama2-13b"
+#
+##### if use Fireworks api
+#FIREWORKS_API_KEY: "YOUR_API_KEY"
+#FIREWORKS_API_BASE: "https://api.fireworks.ai/inference/v1"
+#FIREWORKS_API_MODEL: "YOUR_LLM_MODEL"  # example, accounts/fireworks/models/llama-v2-13b-chat
+
+#### if use self-host open llm model by ollama
+# OLLAMA_API_BASE: http://127.0.0.1:11434/api
+# OLLAMA_API_MODEL: llama2
+
+#### for Search
+
+## Supported values: serpapi/google/serper/ddg
+#SEARCH_ENGINE: serpapi
+
+## Visit https://serpapi.com/ to get key.
+#SERPAPI_API_KEY: "YOUR_API_KEY"
+
+## Visit https://console.cloud.google.com/apis/credentials to get key.
+#GOOGLE_API_KEY: "YOUR_API_KEY"
+## Visit https://programmablesearchengine.google.com/controlpanel/create to get id.
+#GOOGLE_CSE_ID: "YOUR_CSE_ID"
+
+## Visit https://serper.dev/ to get key.
+#SERPER_API_KEY: "YOUR_API_KEY"
+
+#### for web access
+
+## Supported values: playwright/selenium
+#WEB_BROWSER_ENGINE: playwright
+
+## Supported values: chromium/firefox/webkit, visit https://playwright.dev/python/docs/api/class-browsertype
+##PLAYWRIGHT_BROWSER_TYPE: chromium
+
+## Supported values: chrome/firefox/edge/ie, visit https://www.selenium.dev/documentation/webdriver/browsers/
+# SELENIUM_BROWSER_TYPE: chrome
+
+#### for TTS
+
+#AZURE_TTS_SUBSCRIPTION_KEY: "YOUR_API_KEY"
+#AZURE_TTS_REGION: "eastus"
+
+#### for Stable Diffusion
+## Use SD service, based on https://github.com/AUTOMATIC1111/stable-diffusion-webui
+#SD_URL: "YOUR_SD_URL"
+#SD_T2I_API: "/sdapi/v1/txt2img"
+
+#### for Execution
+#LONG_TERM_MEMORY: false
+
+#### for Mermaid CLI
+## If you installed mmdc (Mermaid CLI) only for metagpt then enable the following configuration.
+#PUPPETEER_CONFIG: "./config/puppeteer-config.json"
+#MMDC: "./node_modules/.bin/mmdc"
+
+
+### for calc_usage
+# CALC_USAGE: false
+
+### for Research
+# MODEL_FOR_RESEARCHER_SUMMARY: gpt-3.5-turbo
+# MODEL_FOR_RESEARCHER_REPORT: gpt-3.5-turbo-16k
+
+### choose the engine for mermaid conversion, 
+# default is nodejs, you can change it to playwright,pyppeteer or ink
+# MERMAID_ENGINE: nodejs
+
+### browser path for pyppeteer engine, support Chrome, Chromium,MS Edge
+#PYPPETEER_EXECUTABLE_PATH: "/usr/bin/google-chrome-stable"
+
+### for repair non-openai LLM's output when parse json-text if PROMPT_FORMAT=json
+### due to non-openai LLM's output will not always follow the instruction, so here activate a post-process
+### repair operation on the content extracted from LLM's raw output. Warning, it improves the result but not fix all cases.
+# REPAIR_LLM_OUTPUT: false
+
+# PROMPT_FORMAT: json #json or markdown
+
+### Agent configurations
+# RAISE_NOT_CONFIG_ERROR: true  # "true" if the LLM key is not configured, throw a NotConfiguredException, else "false".
+# WORKSPACE_PATH_WITH_UID: false  # "true" if using `{workspace}/{uid}` as the workspace path; "false" use `{workspace}`.
+
+### Meta Models
+#METAGPT_TEXT_TO_IMAGE_MODEL: MODEL_URL
+
+### S3 config
+#S3_ACCESS_KEY: "YOUR_S3_ACCESS_KEY"
+#S3_SECRET_KEY: "YOUR_S3_SECRET_KEY"
+#S3_ENDPOINT_URL: "YOUR_S3_ENDPOINT_URL"
+#S3_SECURE: true # true/false
+#S3_BUCKET: "YOUR_S3_BUCKET"
+
+### Redis config
+#REDIS_HOST: "YOUR_REDIS_HOST"
+#REDIS_PORT: "YOUR_REDIS_PORT"
+#REDIS_PASSWORD: "YOUR_REDIS_PASSWORD"
+#REDIS_DB: "YOUR_REDIS_DB_INDEX, str, 0-based"
+
+# DISABLE_LLM_PROVIDER_CHECK: false

config/puppeteer-config.json

@@ -0,0 +1,6 @@
+{
+    "executablePath": "/usr/bin/chromium",
+    "args": [
+        "--no-sandbox"
+    ]
+}

docs/FAQ-EN.md

@@ -0,0 +1,183 @@
+Our vision is to [extend human life](https://github.com/geekan/HowToLiveLonger) and [reduce working hours](https://github.com/geekan/MetaGPT/).
+
+1.  ### Convenient Link for Sharing this Document:
+
+```
+- MetaGPT-Index/FAQ https://deepwisdom.feishu.cn/wiki/MsGnwQBjiif9c3koSJNcYaoSnu4
+```
+
+2.  ### Link
+
+<!---->
+
+1.  Code：https://github.com/geekan/MetaGPT
+
+1.  Roadmap：https://github.com/geekan/MetaGPT/blob/main/docs/ROADMAP.md
+
+1.  EN
+
+    1.  Demo Video: [MetaGPT: Multi-Agent AI Programming Framework](https://www.youtube.com/watch?v=8RNzxZBTW8M)
+    2. Tutorial: [MetaGPT: Deploy POWERFUL Autonomous Ai Agents BETTER Than SUPERAGI!](https://www.youtube.com/watch?v=q16Gi9pTG_M&t=659s)
+    3. Author's thoughts video(EN): [MetaGPT Matthew Berman](https://youtu.be/uT75J_KG_aY?si=EgbfQNAwD8F5Y1Ak)
+
+1.  CN
+
+    1.  Demo Video: [MetaGPT：一行代码搭建你的虚拟公司_哔哩哔哩_bilibili](https://www.bilibili.com/video/BV1NP411C7GW/?spm_id_from=333.999.0.0&vd_source=735773c218b47da1b4bd1b98a33c5c77)
+    1.  Tutorial: [一个提示词写游戏 Flappy bird, 比AutoGPT强10倍的MetaGPT，最接近AGI的AI项目](https://youtu.be/Bp95b8yIH5c)
+    2.   Author's thoughts video(CN): [MetaGPT作者深度解析直播回放_哔哩哔哩_bilibili](https://www.bilibili.com/video/BV1Ru411V7XL/?spm_id_from=333.337.search-card.all.click)
+  
+<!---->
+
+3.  ### How to become a contributor?
+
+<!---->
+
+1.  Choose a task from the Roadmap (or you can propose one). By submitting a PR, you can become a contributor and join the dev team.
+1.  Current contributors come from backgrounds including ByteDance AI Lab/DingDong/Didi/Xiaohongshu, Tencent/Baidu/MSRA/TikTok/BloomGPT Infra/Bilibili/CUHK/HKUST/CMU/UCB
+
+<!---->
+
+4.  ### 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.
+1.  Responding to, answering, and distributing community questions within an average of 30 minutes, including on platforms like Github Issues, Discord and WeChat.
+1.  Upholding a community atmosphere that is enthusiastic, genuine, and friendly.
+1.  Encouraging everyone to become contributors and participate in projects that are closely related to achieving AGI (Artificial General Intelligence).
+1.  (Optional) Organizing small-scale events, such as hackathons.
+
+<!---->
+
+5.  ### FAQ
+
+<!---->
+
+1.  Experience with the generated repo code:
+
+    1.  https://github.com/geekan/MetaGPT/releases/tag/v0.1.0
+
+1.  Code truncation/ Parsing failure:
+
+    1.  Check if it's due to exceeding length. Consider using the gpt-3.5-turbo-16k or other long token versions.
+
+1.  Success rate:
+
+    1.  There hasn't been a quantitative analysis yet, but the success rate of code generated by GPT-4 is significantly higher than that of gpt-3.5-turbo.
+
+1.  Support for incremental, differential updates (if you wish to continue a half-done task):
+
+    1.  Several prerequisite tasks are listed on the ROADMAP.
+
+1.  Can existing code be loaded?
+
+    1.  It's not on the ROADMAP yet, but there are plans in place. It just requires some time.
+
+1.  Support for multiple programming languages and natural languages?
+
+    1.  It's listed on ROADMAP.
+
+1.  Want to join the contributor team? How to proceed?
+
+    1.  Merging a PR will get you into the contributor's team. The main ongoing tasks are all listed on the ROADMAP.
+
+1.  PRD stuck / unable to access/ connection interrupted
+
+    1.  The official OPENAI_API_BASE address is `https://api.openai.com/v1`
+    1.  If the official OPENAI_API_BASE address is inaccessible in your environment (this can be verified with curl), it's recommended to configure using the reverse proxy OPENAI_API_BASE provided by libraries such as openai-forward. For instance, `OPENAI_API_BASE: "``https://api.openai-forward.com/v1``"`
+    1.  If the official OPENAI_API_BASE address is inaccessible in your environment (again, verifiable via curl), another option is to configure the OPENAI_PROXY parameter. This way, you can access the official OPENAI_API_BASE via a local proxy. If you don't need to access via a proxy, please do not enable this configuration; if accessing through a proxy is required, modify it to the correct proxy address. Note that when OPENAI_PROXY is enabled, don't set OPENAI_API_BASE.
+    1.  Note: OpenAI's default API design ends with a v1. An example of the correct configuration is: `OPENAI_API_BASE: "``https://api.openai.com/v1``"`
+
+1.  Absolutely! How can I assist you today?
+
+    1.  Did you use Chi or a similar service? These services are prone to errors, and it seems that the error rate is higher when consuming 3.5k-4k tokens in GPT-4
+
+1.  What does Max token mean?
+
+    1.  It's a configuration for OpenAI's maximum response length. If the response exceeds the max token, it will be truncated.
+
+1.  How to change the investment amount?
+
+    1.  You can view all commands by typing `python startup.py --help`
+
+1.  Which version of Python is more stable?
+
+    1.  python3.9 / python3.10
+
+1.  Can't use GPT-4, getting the error "The model gpt-4 does not exist."
+
+    1.  OpenAI's official requirement: You can use GPT-4 only after spending $1 on OpenAI.
+    1.  Tip: Run some data with gpt-3.5-turbo (consume the free quota and $1), and then you should be able to use gpt-4.
+
+1.  Can games whose code has never been seen before be written?
+
+    1.  Refer to the README. The recommendation system of Toutiao is one of the most complex systems in the world currently. Although it's not on GitHub, many discussions about it exist online. If it can visualize these, it suggests it can also summarize these discussions and convert them into code. The prompt would be something like "write a recommendation system similar to Toutiao". Note: this was approached in earlier versions of the software. The SOP of those versions was different; the current one adopts Elon Musk's five-step work method, emphasizing trimming down requirements as much as possible.
+
+1.  Under what circumstances would there typically be errors?
+
+    1.  More than 500 lines of code: some function implementations may be left blank.
+    1.  When using a database, it often gets the implementation wrong — since the SQL database initialization process is usually not in the code.
+    1.  With more lines of code, there's a higher chance of false impressions, leading to calls to non-existent APIs.
+
+1.  Instructions for using SD Skills/UI Role:
+
+    1.  Currently, there is a test script located in /tests/metagpt/roles. The file ui_role provides the corresponding code implementation. For testing, you can refer to the test_ui in the same directory.
+
+    1.  The UI role takes over from the product manager role, extending the output from the 【UI Design draft】 provided by the product manager role. The UI role has implemented the UIDesign Action. Within the run of UIDesign, it processes the respective context, and based on the set template, outputs the UI. The output from the UI role includes:
+
+        1.  UI Design Description: Describes the content to be designed and the design objectives.
+        1.  Selected Elements： Describes the elements in the design that need to be illustrated.
+        1.  HTML Layout： Outputs the HTML code for the page.
+        1.  CSS Styles (styles.css)： Outputs the CSS code for the page.
+
+    1.  Currently, the SD skill is a tool invoked by UIDesign. It instantiates the SDEngine, with specific code found in metagpt/tools/sd_engine.
+
+    1.  Configuration instructions for SD Skills: The SD interface is currently deployed based on *https://github.com/AUTOMATIC1111/stable-diffusion-webui* **For environmental configurations and model downloads, please refer to the aforementioned GitHub repository. To initiate the SD service that supports API calls, run the command specified in cmd with the parameter nowebui, i.e.,
+
+        1.  > python webui.py --enable-insecure-extension-access --port xxx --no-gradio-queue --nowebui
+        1.      Once it runs without errors, the interface will be accessible after approximately 1 minute when the model finishes loading.
+        1.  Configure SD_URL and SD_T2I_API in the config.yaml/key.yaml files.
+        1.  ![](https://p3-juejin.byteimg.com/tos-cn-i-k3u1fbpfcp/065295a67b0b4feea665d1372722d49d~tplv-k3u1fbpfcp-zoom-1.image)
+        1.      SD_URL is the deployed server/machine IP, and Port is the specified port above, defaulting to 7860.
+        1.  > SD_URL: IP:Port
+
+1.  An error occurred during installation: "Another program is using this file...egg".
+
+    1.  Delete the file and try again.
+    1.  Or manually execute`pip install -r requirements.txt`
+
+1.  The origin of the name MetaGPT？
+
+    1.  The name was derived after iterating with GPT-4 over a dozen rounds. GPT-4 scored and suggested it.
+
+1.  Is there a more step-by-step installation tutorial?
+
+    1.  Youtube（CN）：[一个提示词写游戏 Flappy bird, 比AutoGPT强10倍的MetaGPT，最接近AGI的AI项目=一个软件公司产品经理+程序员](https://youtu.be/Bp95b8yIH5c)
+    1.  Youtube（EN）https://www.youtube.com/watch?v=q16Gi9pTG_M&t=659s
+    2.  video(EN): [MetaGPT Matthew Berman](https://youtu.be/uT75J_KG_aY?si=EgbfQNAwD8F5Y1Ak)
+
+1.  openai.error.RateLimitError: You exceeded your current quota, please check your plan and billing details
+
+    1.  If you haven't exhausted your free quota, set RPM to 3 or lower in the settings.
+    1.  If your free quota is used up, consider adding funds to your account.
+
+1.  What does "borg" mean in n_borg?
+
+    1.  [Wikipedia borg meaning ](https://en.wikipedia.org/wiki/Borg)
+    1.  The Borg civilization operates based on a hive or collective mentality, known as "the Collective." Every Borg individual is connected to the collective via a sophisticated subspace network, ensuring continuous oversight and guidance for every member. This collective consciousness allows them to not only "share the same thoughts" but also to adapt swiftly to new strategies. While individual members of the collective rarely communicate, the collective "voice" sometimes transmits aboard ships.
+
+1.  How to use the Claude API？
+
+    1.  The full implementation of the Claude API is not provided in the current code.
+    1.  You can use the Claude API through third-party API conversion projects like: https://github.com/jtsang4/claude-to-chatgpt
+
+1.  Is Llama2 supported？
+
+    1.  On the day Llama2 was released, some of the community members began experiments and found that output can be generated based on MetaGPT's structure. However, Llama2's context is too short to generate a complete project. Before regularly using Llama2, it's necessary to expand the context window to at least 8k. If anyone has good recommendations for expansion models or methods, please leave a comment.
+
+1.  `mermaid-cli getElementsByTagName SyntaxError: Unexpected token '.'`
+
+    1.  Upgrade node to version 14.x or above:
+
+        1.  `npm install -g n`
+        1.  `n stable` to install the stable version of node（v18.x）

docs/README_CN.md

@@ -0,0 +1,135 @@
+# 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">
+<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="docs/README_CN.md"><img src="https://img.shields.io/badge/文档-中文版-blue.svg" alt="CN doc"></a>
+<a href="README.md"><img src="https://img.shields.io/badge/document-English-blue.svg" alt="EN doc"></a>
+<a href="docs/README_JA.md"><img src="https://img.shields.io/badge/ドキュメント-日本語-blue.svg" alt="JA doc"></a>
+<a href="https://discord.gg/DYn29wFk9z"><img src="https://dcbadge.vercel.app/api/server/DYn29wFk9z?style=flat" alt="Discord Follow"></a>
+<a href="https://opensource.org/licenses/MIT"><img src="https://img.shields.io/badge/License-MIT-blue.svg" alt="License: MIT"></a>
+<a href="docs/ROADMAP.md"><img src="https://img.shields.io/badge/ROADMAP-路线图-blue" alt="roadmap"></a>
+<a href="https://twitter.com/MetaGPT_"><img src="https://img.shields.io/twitter/follow/MetaGPT?style=social" alt="Twitter Follow"></a>
+</p>
+
+<p align="center">
+   <a href="https://vscode.dev/redirect?url=vscode://ms-vscode-remote.remote-containers/cloneInVolume?url=https://github.com/geekan/MetaGPT"><img src="https://img.shields.io/static/v1?label=Dev%20Containers&message=Open&color=blue&logo=visualstudiocode" alt="Open in Dev Containers"></a>
+   <a href="https://codespaces.new/geekan/MetaGPT"><img src="https://img.shields.io/badge/Github_Codespace-Open-blue?logo=github" alt="Open in GitHub Codespaces"></a>
+   <a href="https://huggingface.co/spaces/deepwisdom/MetaGPT" target="_blank"><img alt="Hugging Face" src="https://img.shields.io/badge/%F0%9F%A4%97%20-Hugging%20Face-blue?color=blue&logoColor=white" /></a>
+</p>
+
+1. MetaGPT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
+
+```bash
+# 第 1 步：确保您的系统上安装了 Python 3.9+。您可以使用以下命令进行检查：
+# 可以使用conda来初始化新的python环境
+#     conda create -n metagpt python=3.9
+#     conda activate metagpt
+python3 --version
+
+# 第 2 步：克隆最新仓库到您的本地机器，并进行安装。
+git clone https://github.com/geekan/MetaGPT.git
+cd MetaGPT
+pip3 install -e.  # 或者 pip3 install metagpt  # 安装稳定版本
+
+# 第 3 步：执行startup.py
+# 拷贝config.yaml为key.yaml，并设置你自己的OPENAI_API_KEY
+python3 startup.py "Write a cli snake game"
+
+# 第 4 步【可选的】：如果你想在执行过程中保存像象限图、系统设计、序列流程等图表这些产物，可以在第3步前执行该步骤。默认的，框架做了兼容，在不执行该步的情况下，也可以完整跑完整个流程。
+# 如果执行，确保您的系统上安装了 NPM。并使用npm安装mermaid-js
+npm --version
+sudo npm install -g @mermaid-js/mermaid-cli
+```
+
+详细的安装请安装 [cli_install](https://docs.deepwisdom.ai/guide/get_started/installation.html#install-stable-version)
+
+### Docker安装
+> 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config.yaml
+docker pull metagpt/metagpt:latest
+mkdir -p /opt/metagpt/{config,workspace}
+docker run --rm metagpt/metagpt:latest cat /app/metagpt/config/config.yaml > /opt/metagpt/config/key.yaml
+vim /opt/metagpt/config/key.yaml # 修改配置文件
+
+# 步骤2: 使用容器运行metagpt演示
+docker run --rm \
+    --privileged \
+    -v /opt/metagpt/config/key.yaml:/app/metagpt/config/key.yaml \
+    -v /opt/metagpt/workspace:/app/metagpt/workspace \
+    metagpt/metagpt:latest \
+    python startup.py "Write a cli snake game"
+```
+
+详细的安装请安装 [docker_install](https://docs.deepwisdom.ai/zhcn/guide/get_started/installation.html#%E4%BD%BF%E7%94%A8docker%E5%AE%89%E8%A3%85)
+
+### 快速开始的演示视频
+- 在 [MetaGPT Huggingface Space](https://huggingface.co/spaces/deepwisdom/MetaGPT) 上进行体验
+- [Matthew Berman: How To Install MetaGPT - Build A Startup With One Prompt!!](https://youtu.be/uT75J_KG_aY)
+- [官方演示视频](https://github.com/geekan/MetaGPT/assets/2707039/5e8c1062-8c35-440f-bb20-2b0320f8d27d)
+
+https://github.com/geekan/MetaGPT/assets/34952977/34345016-5d13-489d-b9f9-b82ace413419
+
+## 教程
+- 🗒 [在线文档](https://docs.deepwisdom.ai/zhcn/)
+- 💻 [如何使用](https://docs.deepwisdom.ai/zhcn/guide/get_started/quickstart.html)  
+- 🔎 [MetaGPT的能力及应用场景](https://docs.deepwisdom.ai/zhcn/guide/get_started/introduction.html)
+- 🛠 如何构建你自己的智能体？
+  - [MetaGPT的使用和开发教程 | 智能体入门](https://docs.deepwisdom.ai/zhcn/guide/tutorials/agent_101.html)
+  - [MetaGPT的使用和开发教程 | 多智能体入门](https://docs.deepwisdom.ai/zhcn/guide/tutorials/multi_agent_101.html)
+- 🧑‍💻 贡献
+  - [开发路线图](ROADMAP.md)
+- 🔖 示例
+  - [辩论](https://docs.deepwisdom.ai/zhcn/guide/use_cases/multi_agent/debate.html)
+  - [调研员](https://docs.deepwisdom.ai/zhcn/guide/use_cases/agent/researcher.html)
+  - [票据助手](https://docs.deepwisdom.ai/zhcn/guide/use_cases/agent/receipt_assistant.html)
+- ❓ [常见问题解答](https://docs.deepwisdom.ai/zhcn/guide/faq.html)
+
+## 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：** [email protected]
+- **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
+
+引用 [arXiv paper](https://arxiv.org/abs/2308.00352):
+
+```bibtex
+@misc{hong2023metagpt,
+      title={MetaGPT: Meta Programming for Multi-Agent Collaborative Framework},
+      author={Sirui Hong and Xiawu Zheng and Jonathan Chen and Yuheng Cheng and Jinlin Wang and Ceyao Zhang and Zili Wang and Steven Ka Shing Yau and Zijuan Lin and Liyang Zhou and Chenyu Ran and Lingfeng Xiao and Chenglin Wu},
+      year={2023},
+      eprint={2308.00352},
+      archivePrefix={arXiv},
+      primaryClass={cs.AI}
+}
+```

docs/README_JA.md

@@ -0,0 +1,334 @@
+# 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">
+<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="docs/README_CN.md"><img src="https://img.shields.io/badge/文档-中文版-blue.svg" alt="CN doc"></a>
+<a href="README.md"><img src="https://img.shields.io/badge/document-English-blue.svg" alt="EN doc"></a>
+<a href="docs/README_JA.md"><img src="https://img.shields.io/badge/ドキュメント-日本語-blue.svg" alt="JA doc"></a>
+<a href="https://discord.gg/wCp6Q3fsAk"><img src="https://img.shields.io/badge/Discord-Join-blue?logo=discord&logoColor=white&color=blue" alt="Discord Follow"></a>
+<a href="https://opensource.org/licenses/MIT"><img src="https://img.shields.io/badge/License-MIT-blue.svg" alt="License: MIT"></a>
+<a href="docs/ROADMAP.md"><img src="https://img.shields.io/badge/ROADMAP-路线图-blue" alt="roadmap"></a>
+<a href="https://twitter.com/MetaGPT_"><img src="https://img.shields.io/twitter/follow/MetaGPT?style=social" alt="Twitter Follow"></a>
+</p>
+
+<p align="center">
+   <a href="https://vscode.dev/redirect?url=vscode://ms-vscode-remote.remote-containers/cloneInVolume?url=https://github.com/geekan/MetaGPT"><img src="https://img.shields.io/static/v1?label=Dev%20Containers&message=Open&color=blue&logo=visualstudiocode" alt="Open in Dev Containers"></a>
+   <a href="https://codespaces.new/geekan/MetaGPT"><img src="https://img.shields.io/badge/Github_Codespace-Open-blue?logo=github" alt="Open in GitHub Codespaces"></a>
+   <a href="https://huggingface.co/spaces/deepwisdom/MetaGPT" target="_blank"><img alt="Hugging Face" src="https://img.shields.io/badge/%F0%9F%A4%97%20-Hugging%20Face-blue?color=blue&logoColor=white" /></a>
+</p>
+
+1. MetaGPT 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/geekan/MetaGPT/assets/34952977/34345016-5d13-489d-b9f9-b82ace413419
+
+
+
+## 例（GPT-4 で完全生成）
+
+例えば、`python startup.py "Toutiao のような RecSys をデザインする"`と入力すると、多くの出力が得られます
+
+![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
+
+```bash
+# ステップ 1: Python 3.9+ がシステムにインストールされていることを確認してください。これを確認するには:
+python --version
+
+# ステップ 2: リポジトリをローカルマシンにクローンし、インストールする。
+git clone https://github.com/geekan/MetaGPT.git
+cd MetaGPT
+pip install -e.
+
+# ステップ 3: startup.py を実行する
+# config.yaml を key.yaml にコピーし、独自の OPENAI_API_KEY を設定します
+python3 startup.py "Write a cli snake game"
+
+# ステップ 4 [オプション]: 実行中に PRD ファイルなどのアーティファクトを保存する場合は、ステップ 3 の前にこのステップを実行できます。デフォルトでは、フレームワークには互換性があり、この手順を実行しなくてもプロセス全体を完了できます。
+# NPM がシステムにインストールされていることを確認してください。次に mermaid-js をインストールします。(お使いのコンピューターに npm がない場合は、Node.js 公式サイトで Node.js https://nodejs.org/ をインストールしてください。）
+npm --version
+sudo npm install -g @mermaid-js/mermaid-cli
+```
+
+**注:**
+
+- 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"
+  MMDC: "./node_modules/.bin/mmdc"
+  ```
+
+- もし `pip install -e.` がエラー `[Errno 13] Permission denied: '/usr/local/lib/python3.11/dist-packages/test-easy-install-13129.write-test'` で失敗したら、代わりに `pip install -e. --user` を実行してみてください
+
+- 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 `config.yaml`**
+
+    config.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
+    ```
+
+    - **`config.yaml` を修正**
+
+    config.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
+    - **`config.yaml` を修正**
+
+    config.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、config.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/config.yaml > /opt/metagpt/config/key.yaml
+vim /opt/metagpt/config/key.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/key.yaml:/app/metagpt/config/key.yaml \
+    -v /opt/metagpt/workspace:/app/metagpt/workspace \
+    metagpt/metagpt:latest \
+    python startup.py "Write a cli snake game"
+
+# 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/key.yaml:/app/metagpt/config/key.yaml \
+    -v /opt/metagpt/workspace:/app/metagpt/workspace \
+    metagpt/metagpt:latest
+
+docker exec -it metagpt /bin/bash
+$ python startup.py "Write a cli snake game"
+```
+
+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/key.yaml` をコンテナ `/app/metagpt/config/key.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 `python startup.py "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
+
+- `OPENAI_API_KEY` を `config/key.yaml / config/config.yaml / env` のいずれかで設定します。
+- 優先順位は: `config/key.yaml > config/config.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/config.yaml config/key.yaml
+```
+
+| 変数名                                  | config/key.yaml                           | env                                             |
+| --------------------------------------- | ----------------------------------------- | ----------------------------------------------- |
+| OPENAI_API_KEY # 自分のキーに置き換える | OPENAI_API_KEY: "sk-..."                  | export OPENAI_API_KEY="sk-..."                  |
+| OPENAI_API_BASE # オプション            | OPENAI_API_BASE: "https://<YOUR_SITE>/v1" | export OPENAI_API_BASE="https://<YOUR_SITE>/v1" |
+
+## 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
+python startup.py "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
+python startup.py "Write a cli snake game" --implement False
+# エンジニアを雇い、コードレビューを行う
+python startup.py "Write a cli snake game" --code_review True
+```
+
+スクリプトを実行すると、`workspace/` ディレクトリに新しいプロジェクトが見つかります。
+
+### プラットフォームまたはツールの設定
+
+要件を述べるときに、どのプラットフォームまたはツールを使用するかを指定できます。
+
+```shell
+python startup.py "pygame をベースとした cli ヘビゲームを書く"
+```
+
+### 使用方法
+
+```
+会社名
+    startup.py - 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
+    startup.py 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
+
+## 引用
+
+現時点では、[arXiv 論文](https://arxiv.org/abs/2308.00352)を引用してください:
+
+```bibtex
+@misc{hong2023metagpt,
+      title={MetaGPT: Meta Programming for A Multi-Agent Collaborative Framework}, 
+      author={Sirui Hong and Mingchen Zhuge and Jonathan Chen and Xiawu Zheng and Yuheng Cheng and Ceyao Zhang and Jinlin Wang and Zili Wang and Steven Ka Shing Yau and Zijuan Lin and Liyang Zhou and Chenyu Ran and Lingfeng Xiao and Chenglin Wu and Jürgen Schmidhuber},
+      year={2023},
+      eprint={2308.00352},
+      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:** [email protected]
+- **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！ 🎉

docs/ROADMAP.md

@@ -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 0.5.
+
+### Tasks
+
+To reach version v0.5, approximately 70% of the following tasks need to be completed.
+
+1. Usability
+   1. Release v0.01 pip package to try to solve issues like npm installation (though not necessarily successfully)
+   2. Support for overall save and recovery of software companies
+   3. Support human confirmation and modification during the process
+   4. Support process caching: Consider carefully whether to add server caching mechanism
+   5. Resolve occasional failure to follow instruction under current prompts, causing code parsing errors, through stricter system prompts
+   6. Write documentation, describing the current features and usage at all levels
+   7. ~~Support Docker~~
+2. Features
+   1. Support a more standard and stable parser (need to analyze the format that the current LLM is better at)
+   2. ~~Establish a separate output queue, differentiated from the message queue~~
+   3. Attempt to atomize all role work, but this may significantly increase token overhead
+   4. Complete the design and implementation of module breakdown
+   5. Support various modes of memory: clearly distinguish between long-term and short-term memory
+   6. Perfect the test role, and carry out necessary interactions with humans
+   7. Provide full mode instead of the current fast mode, allowing natural communication between roles
+   8. Implement SkillManager and the process of incremental Skill learning
+   9. Automatically get RPM and configure it by calling the corresponding openai page, so that each key does not need to be manually configured
+3. Strategies
+   1. Support ReAct strategy
+   2. Support CoT strategy
+   3. Support ToT strategy
+   4. Support Reflection strategy
+4. Actions
+   1. Implementation: Search
+   2. Implementation: Knowledge search, supporting 10+ data formats
+   3. Implementation: Data EDA
+   4. Implementation: Review
+   5. Implementation: Add Document
+   6. Implementation: Delete Document
+   7. Implementation: Self-training
+   8. Implementation: DebugError
+   9. Implementation: Generate reliable unit tests based on YAPI
+   10. Implementation: Self-evaluation
+   11. Implementation: AI Invocation
+   12. Implementation: Learning and using third-party standard libraries
+   13. Implementation: Data collection
+   14. Implementation: AI training
+   15. Implementation: Run code
+   16. Implementation: Web access
+5. Plugins: Compatibility with plugin system
+6. Tools
+   1. ~~Support SERPER api~~
+   2. ~~Support Selenium apis~~
+   3. ~~Support Playwright apis~~
+7. Roles
+   1. Perfect the action pool/skill pool for each role
+   2. Red Book blogger
+   3. E-commerce seller
+   4. Data analyst
+   5. News observer
+   6. Institutional researcher
+8. Evaluation
+   1. Support an evaluation on a game dataset
+   2. Reproduce papers, implement full skill acquisition for a single game role, achieving SOTA results
+   3. Support an evaluation on a math dataset
+   4. Reproduce papers, achieving SOTA results for current mathematical problem solving process
+9. LLM
+   1. Support Claude underlying API
+   2. ~~Support Azure asynchronous API~~
+   3. Support streaming version of all APIs
+   4. ~~Make gpt-3.5-turbo available (HARD)~~
+10. 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

docs/install/cli_install.md

@@ -0,0 +1,109 @@
+## Traditional Command Line Installation
+
+### Support System and version
+| System Version | Python Version  |  Supported  |
+|      ----      |     ----        |   -----   |
+|   macOS 13.x   |    python 3.9   |    Yes    |
+|   Windows 11   |    python 3.9   |    Yes    |
+|   Ubuntu 22.04 |    python 3.9   |    Yes    |
+
+### Detail Installation
+```bash
+# Step 1: Ensure that NPM is installed on your system. Then install mermaid-js. (If you don't have npm in your computer, please go to the Node.js official website to install Node.js https://nodejs.org/ and then you will have npm tool in your computer.)
+npm --version
+sudo npm install -g @mermaid-js/mermaid-cli
+
+# Step 2: Ensure that Python 3.9+ is installed on your system. You can check this by using:
+python3 --version
+
+# Step 3: Clone the repository to your local machine, and install it.
+git clone https://github.com/geekan/MetaGPT.git
+cd MetaGPT
+pip install -e.
+```
+
+**Note:**
+
+- If already have Chrome, Chromium, or MS Edge installed, you can skip downloading Chromium by setting the environment variable
+  `PUPPETEER_SKIP_CHROMIUM_DOWNLOAD` to `true`.
+
+- Some people are [having issues](https://github.com/mermaidjs/mermaid.cli/issues/15) installing this tool globally. Installing it locally is an alternative solution,
+
+  ```bash
+  npm install @mermaid-js/mermaid-cli
+  ```
+
+- don't forget to the configuration for mmdc in config.yml
+
+  ```yml
+  PUPPETEER_CONFIG: "./config/puppeteer-config.json"
+  MMDC: "./node_modules/.bin/mmdc"
+  ```
+
+- if `pip install -e.` fails with error `[Errno 13] Permission denied: '/usr/local/lib/python3.11/dist-packages/test-easy-install-13129.write-test'`, try instead running `pip install -e. --user`
+
+- To convert Mermaid charts to SVG, PNG, and PDF formats. In addition to the Node.js version of Mermaid-CLI, you now have the option to use Python version Playwright, pyppeteer or mermaid.ink for this task.
+
+  - Playwright
+    - **Install Playwright**
+
+    ```bash
+    pip install playwright
+    ```
+
+    - **Install the Required Browsers**
+
+    to support PDF conversion, please install Chrominum.
+
+    ```bash
+    playwright install --with-deps chromium
+    ```
+
+    - **modify `config.yaml`**
+
+    uncomment MERMAID_ENGINE from config.yaml and change it to `playwright`
+
+    ```yaml
+    MERMAID_ENGINE: playwright
+    ```
+
+  - pyppeteer
+    - **Install pyppeteer**
+
+    ```bash
+    pip install pyppeteer
+    ```
+
+    - **Use your own Browsers**
+
+    pyppeteer allows you use installed browsers,  please set the following envirment
+    
+    ```bash
+    export PUPPETEER_EXECUTABLE_PATH = /path/to/your/chromium or edge or chrome
+    ```
+
+    please do not use this command to install browser, it is too old
+
+    ```bash
+    pyppeteer-install
+    ```
+
+    - **modify `config.yaml`**
+
+    uncomment MERMAID_ENGINE from config.yaml and change it to `pyppeteer`
+
+    ```yaml
+    MERMAID_ENGINE: pyppeteer
+    ```
+
+  - mermaid.ink
+    - **modify `config.yaml`**
+
+    uncomment MERMAID_ENGINE from config.yaml and change it to `ink`
+
+    ```yaml
+    MERMAID_ENGINE: ink
+    ```  
+
+    Note: this method does not support pdf export.
+    

docs/install/cli_install_cn.md

@@ -0,0 +1,43 @@
+## 命令行安装
+
+### 支持的系统和版本
+|     系统版本     | Python 版本     |  是否支持  |
+|      ----      |     ----        |   -----   |
+|   macOS 13.x   |    python 3.9   |    是    |
+|   Windows 11   |    python 3.9   |    是    |
+|   Ubuntu 22.04 |    python 3.9   |    是    |
+
+### 详细安装
+
+```bash
+# 第 1 步：确保您的系统上安装了 NPM。并使用npm安装mermaid-js
+npm --version
+sudo npm install -g @mermaid-js/mermaid-cli
+
+# 第 2 步：确保您的系统上安装了 Python 3.9+。您可以使用以下命令进行检查：
+python --version
+
+# 第 3 步：克隆仓库到您的本地机器，并进行安装。
+git clone https://github.com/geekan/MetaGPT.git
+cd MetaGPT
+pip install -e.
+```
+
+**注意：**
+
+- 如果已经安装了Chrome、Chromium或MS Edge，可以通过将环境变量`PUPPETEER_SKIP_CHROMIUM_DOWNLOAD`设置为`true`来跳过下载Chromium。
+
+- 一些人在全局安装此工具时遇到问题。在本地安装是替代解决方案，
+
+    ```bash
+    npm install @mermaid-js/mermaid-cli
+    ```
+
+- 不要忘记在config.yml中为mmdc配置配置，
+
+    ```yml
+    PUPPETEER_CONFIG: "./config/puppeteer-config.json"
+    MMDC: "./node_modules/.bin/mmdc"
+    ```
+
+- 如果`pip install -e.`失败并显示错误`[Errno 13] Permission denied: '/usr/local/lib/python3.11/dist-packages/test-easy-install-13129.write-test'`，请尝试使用`pip install -e. --user`运行。

docs/install/docker_install.md

@@ -0,0 +1,44 @@
+## Docker Installation
+
+### Use default MetaGPT image
+
+```bash
+# Step 1: Download metagpt official image and prepare config.yaml
+docker pull metagpt/metagpt:latest
+mkdir -p /opt/metagpt/{config,workspace}
+docker run --rm metagpt/metagpt:latest cat /app/metagpt/config/config.yaml > /opt/metagpt/config/key.yaml
+vim /opt/metagpt/config/key.yaml # Change the config
+
+# Step 2: Run metagpt demo with container
+docker run --rm \
+    --privileged \
+    -v /opt/metagpt/config/key.yaml:/app/metagpt/config/key.yaml \
+    -v /opt/metagpt/workspace:/app/metagpt/workspace \
+    metagpt/metagpt:latest \
+    python3 startup.py "Write a cli snake game"
+
+# You can also start a container and execute commands in it
+docker run --name metagpt -d \
+    --privileged \
+    -v /opt/metagpt/config/key.yaml:/app/metagpt/config/key.yaml \
+    -v /opt/metagpt/workspace:/app/metagpt/workspace \
+    metagpt/metagpt:latest
+
+docker exec -it metagpt /bin/bash
+$ python3 startup.py "Write a cli snake game"
+```
+
+The command `docker run ...` do the following things:
+
+- Run in privileged mode to have permission to run the browser
+- Map host configure file `/opt/metagpt/config/key.yaml` to container `/app/metagpt/config/key.yaml`
+- Map host directory `/opt/metagpt/workspace` to container `/app/metagpt/workspace`
+- Execute the demo command `python3 startup.py "Write a cli snake game"`
+
+### Build image by yourself
+
+```bash
+# You can also build metagpt image by yourself.
+git clone https://github.com/geekan/MetaGPT.git
+cd MetaGPT && docker build -t metagpt:custom .
+```