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.

• 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.

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

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

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.

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

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.

• 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