AgentPro is an intelligent Python code generator and execution system that leverages OpenAI's GPT models to create and run Python scripts based on user prompts.

1. Features
2. Requirements
3. Installation
4. Usage
5. How It Works
6. Configuration
7. Error Handling

• Generate Python code from natural language prompts
• Automatically install required libraries
• Execute generated code in a safe environment
• Handle errors and retry code generation
• Logging for debugging and monitoring

graph TD
    A[User] -->|Provides Prompt| B[AgentPro]
    B -->|Sends API Request| C[OpenAI API]
    C -->|Returns Generated Code| B
    B -->|Analyzes Code| D[Library Detector]
    D -->|Identifies Required Libraries| E[Library Installer]
    E -->|Installs Libraries| F[Python Environment]
    B -->|Executes Code| G[Code Executor]
    G -->|Runs in| F
    G -->|Captures Output/Errors| B
    B -->|Displays Results| A
    H[.env File] -->|Provides API Key| B
    
    subgraph AgentPro System
    B
    D
    E
    G
    end
    
    subgraph External Services
    C
    F
    end
    
    style A fill:#f9f,stroke:#333,stroke-width:2px
    style B fill:#bbf,stroke:#333,stroke-width:2px
    style C fill:#bfb,stroke:#333,stroke-width:2px
    style F fill:#bfb,stroke:#333,stroke-width:2px
    style H fill:#ff9,stroke:#333,stroke-width:2px

• Python 3.6+
• OpenAI API key

1. Create a virtual environment:

   python -m venv venv
   source venv/bin/activate  # On Windows, use `venv\Scripts\activate`
   

2. Install the required packages:

   pip install -r requirements.txt
   

3. Set up your OpenAI API key: Create a .env file in the project root and add your API key:

   OPENAI_API_KEY=your_api_key_here
   

Run the main script:

python app.py

Follow the prompts to enter your code generation requests. Type 'exit' to quit the program.

1. The user provides a prompt describing the desired Python code.
2. AgentPro uses OpenAI's GPT model to generate Python code based on the prompt.
3. The system analyzes the generated code to identify required libraries.
4. Required libraries are automatically installed using pip.
5. The code is executed in a temporary file within the current working directory.
6. Output and errors are captured and displayed to the user.
7. If errors occur, the system can retry code generation with error information.

• Modify the OpenAI client initialization in the AgentPro class to change the API key source or other settings.
• Adjust the max_retries parameter in the run method to change the number of retry attempts for code generation.

AgentPro implements robust error handling:

• Retries API calls with exponential backoff
• Catches and logs exceptions during code generation and execution
• Provides informative error messages to the user