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Tasks can include image attachments for processing. The framework automatically handles image loading and provides them to the model for analysis.

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Single Image Attachment

# Task with single image
task = Task(
    description="Describe what you see in the attached image",
    attachments=["image.png"]
)

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Multiple Image Attachments

# Task with multiple images
task = Task(
    description="Compare the two attached images and identify similarities and differences",
    attachments=["image1.jpg", "image2.jpg"]
)

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Images with Other Context

# Task with images and other context
task = Task(
    description="Analyze the attached chart and provide insights based on the market data",
    attachments=["chart.png"],
    context=[market_data_task]
)

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Supported Image Formats

The framework supports various image formats including:
  • PNG (.png)
  • JPEG (.jpg, .jpeg)
  • GIF (.gif)
  • BMP (.bmp)
  • TIFF (.tiff)
# Example with different image formats
task = Task(
    description="Analyze all the attached images",
    attachments=["photo.jpg", "diagram.png", "chart.tiff"]
)

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Image Processing with Tools

from upsonic.tools import tool

@tool
def image_analyzer(image_path: str) -> str:
    """Analyze image content and return description."""
    # Your image analysis logic here
    return f"Analysis of {image_path}"

# Task combining image attachments with image analysis tools
task = Task(
    description="Analyze the attached images using the image analyzer tool",
    attachments=["image1.jpg", "image2.png"],
    tools=[image_analyzer]
)

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Best Practices

  • File Paths: Use absolute or relative paths that are accessible to your application
  • Image Size: Consider image file sizes for performance optimization
  • Format Selection: Choose appropriate formats based on your analysis needs
  • Error Handling: Handle cases where image files might not be accessible
  • Context Integration: Combine images with relevant text context for better analysis
  • Tool Integration: Use specialized image analysis tools when available
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