coffeeblack 0.1.7

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 using pip:

# Install from PyPI
pip install coffeeblack

# 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
import os
from coffeeblack import Argus

async def main():
    # Initialize the SDK with API key for authentication
    # You can provide your API key directly or through an environment variable
    api_key = os.environ.get("COFFEEBLACK_API_KEY")
    sdk = Argus(
        api_key=api_key,  # API key for authentication
        verbose=True,
        debug_enabled=True,
        elements_conf=0.2,
        rows_conf=0.4,
        model="ui-detect"  # Set the UI detection model to use (cua, ui-detect, or ui-tars)
    )
    
    # Define the browser name
    browser_name = "Safari" 
    
    try:
        # Open and attach to the browser
        await sdk.open_and_attach_to_app(browser_name, wait_time=2.0)

        # Execute an action based on a natural language query
        await sdk.execute_action("Type https://www.google.com into the url bar")
        
        # Press enter key
        await sdk.press_key("enter")
    
    except Exception as e:
        print(f"Error: {e}")

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

License

MIT

Documentation

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