Synthetic Data Generation

A collection of scripts for generating synthetic data using AI models.

Features

• Support for OpenAI and compatible API endpoints
• Configurable model selection
• Retry logic for API resilience
• Concurrent processing capabilities
• Environment-based configuration

Installation

1. Clone the repository:

git clone https://github.com/yourusername/model-context-protocol.git
cd model-context-protocol

2. Install dependencies:

pip install -r requirements.txt

3. Configure environment variables:
   • Copy .env.local to .env
   • Update the values in .env with your API credentials:

OPENAI_API_KEY=your_api_key
OPENAI_ENDPOINT=your_endpoint
OPENAI_MODEL=your_model

Usage

The main script gen_artifacts.py provides functionality for generating artifacts using AI models with specific context protocols.

python gen_artifacts.py

Configuration

The following environment variables are supported:

• OPENAI_API_KEY: Your OpenAI API key
• OPENAI_ENDPOINT: The API endpoint URL
• OPENAI_MODEL: The model identifier to use

License

[Add your chosen license]

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.