Documentation Index
Fetch the complete documentation index at: https://docs.upsonic.ai/llms.txt
Use this file to discover all available pages before exploring further.
Tasks can include image attachments for processing. The framework automatically handles image loading and provides them to the model for analysis.
Single Image Attachment
from upsonic import Agent, Task
agent = Agent(model="anthropic/claude-sonnet-4-5")
# Task with single image
task = Task(
description="Describe what you see in the attached image",
context=["image.png"]
)
agent.print_do(task)
Multiple Image Attachments
from upsonic import Agent, Task
agent = Agent(model="anthropic/claude-sonnet-4-5")
# Task with multiple images
task = Task(
description="Compare the two attached images and identify similarities and differences",
context=["image1.jpg", "image2.jpg"]
)
agent.print_do(task)
Images with Other Context
from upsonic import Agent, Task
agent = Agent(model="anthropic/claude-sonnet-4-5")
# Task with images and other context
task = Task(
description="Analyze the attached chart and provide insights based on the market data",
context=["chart.png", market_data_task],
)
agent.print_do(task)
- PNG (.png)
- JPEG (.jpg, .jpeg)
- GIF (.gif)
- BMP (.bmp)
- TIFF (.tiff)
from upsonic import Agent, Task
agent = Agent(model="anthropic/claude-sonnet-4-5")
# Example with different image formats
task = Task(
description="Analyze all the attached images",
context=["photo.jpg", "diagram.png", "chart.tiff"]
)
agent.print_do(task)
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
