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Devyan

多智能代理协作的AI软件开发助手

Devyan是一款基于OpenAI GPT技术的软件开发助手,通过协调架构、编程、测试和审核等多个AI代理,完成复杂的编程任务。该工具能自动设计架构、实现代码、执行测试和进行代码审查,提高软件开发效率。Devyan支持Python 3.7+环境,安装和使用简便,为开发者提供了将AI融入软件开发流程的便捷方式。

Devyan

Overview

Devyan is an AI-powered software development assistant that orchestrates a team of agents to solve programming tasks. It uses OpenAI's GPT-based agents to perform various roles such as architecture design, implementation, testing, and reviewing.

Video Description

Features

  • Architect Agent: Designs the architecture of the solution based on the user input.
  • Programmer Agent: Implements the solution as per the architecture design.
  • Tester Agent: Tests the implemented solution to ensure it meets the requirements and is free of bugs.
  • Reviewer Agent: Reviews the architecture, implementation, and test results to provide a comprehensive analysis. img

Requirements

  • Python 3.7+
  • requests library
  • langchain library
  • python-decouple library
  • crewai library
  • OpenAI API Key

Installation

  1. Clone the repository:

    git clone https://github.com/your-username/devain.git
    cd devain
    
  2. Create a virtual environment:

    python -m venv venv
    source venv/bin/activate  # On Windows use `venv\Scripts\activate`
    
  3. Install the dependencies:

    pip install -r requirements.txt
    
  4. Set up environment variables: Create a .env file in the root directory of the project and add your OpenAI API key:

    OPENAI_API_KEY=your_openai_api_key_here
    SERPER_API_KEY=your_serper_api_key_here
    

Usage

  1. Run the main script:

    python main.py
    
  2. Follow the prompts:

    ## Welcome to Devain##
    -------------------------------
    What problem do you want us to solve?
    
  3. Enter the problem you want Devain to solve, and let the agents handle the rest.

Project Structure

devain/
│
│ 
├── tools/
│   ├── __init__.py
│   ├── file_write.py
│   └── directory_write.py
│
├── agents.py
│
├── tasks.py
│
├── main.py
│
├── requirements.txt
│
└── README.md

Contributing

  1. Fork the repository.
  2. Create your feature branch (git checkout -b feature/your-feature).
  3. Commit your changes (git commit -m 'Add some feature').
  4. Push to the branch (`git push origin feature/your-feature``).
  5. Open a pull request.

Todo

  • Create Custom tool to write file
  • Create Custom tool to create directory
  • Change prompts in tasks, make it more detialed and clear
  • Use pytoml
  • Add Agent Logs
  • Stackoverflow tool
  • Code Execution

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