CAMEL-AI Coding Workforce

This repository implements a Multi-Agent System using the CAMEL-AI framework, where specialized LLM-based agents collaborate to generate, review, document, test, and evaluate code. It includes a Streamlit interface for task input, live logging, and result visualization.

Features

• Multi-Agent System: A workforce of specialized agents, each with a unique role:
  • Coder Agent: Generates code based on user prompts.
  • Code Reviewer Agent: Reviews code and suggests improvements.
  • Code Documenter Agent: Creates documentation for the code.
  • Code Tester Agent: Generates and executes test cases.
  • Code Evaluator Agent: Scores code quality, test coverage, and documentation clarity.
• Streamlit Interface: A user-friendly web interface for:
  • Inputting tasks.
  • Viewing live logs during task execution.
  • Displaying task results and workforce logs.
• Customizable Models: Supports OpenAI GPT-4 and other models via the CAMEL-AI framework.

Installation

1. Clone the repository:

   git clone https://github.com/javiervela/camel-ai-coding-workforce.git
   cd camel-ai-coding-workforce

2. Install dependencies:

   poetry install

3. Set up environment variables: Create a .env file in the root directory and configure any necessary environment variables like OPENAI_API_KEY. For example:

   OPENAI_API_KEY=your_openai_api_key

Usage

1. Run the Streamlit app:

   poetry run streamlit run src/camel_ai_coding_workforce/main.py

2. Open your web browser and navigate to http://localhost:8501 to access the interface.
3. Enter your task in the input field and click "Run".

Dependencies

• Python 3.12
• Poetry
• CAMEL-AI
• Streamlit