coffeeblack 0.1.1

Python client for interacting with the CoffeeBlack visual reasoning API

CoffeeBlack SDK

Python client for interacting with the CoffeeBlack visual reasoning API.

Installation

You can install the package locally using pip:

# Install from local directory
pip install -e .

# Or install from GitHub
pip install git+https://github.com/coffeeblack/sdk.git

Features

• Find and interact with windows on your system
• Take screenshots and send them to the CoffeeBlack API
• Execute actions based on natural language queries
• Reason about UI elements without executing actions
• Find and launch applications with semantic search

Quick Start

import asyncio
from coffeeblack import CoffeeBlackSDK

async def main():
    # Initialize the SDK
    sdk = CoffeeBlackSDK()
    
    # Get all open windows
    windows = await sdk.get_open_windows()
    
    # Attach to a window by name
    await sdk.attach_to_window_by_name("Chrome")
    
    # Execute an action based on natural language
    response = await sdk.execute_action("Click on the search bar")
    
    # Type some text
    await sdk.press_key("Hello, world!")
    
    # Take a screenshot
    screenshot = await sdk.get_screenshot()

if __name__ == "__main__":
    asyncio.run(main())

License

MIT

Documentation

For more detailed documentation, please visit https://docs.coffeeblack.ai