Image Generation

from upsonic import Agent, Task
from upsonic.tools.builtin_tools import ImageGenerationTool
from upsonic.utils.image import save_image_to_folder

# Create agent with image generation capability
agent = Agent(
    model="openai-responses/gpt-4o",
)

# Create task with ImageGenerationTool
task = Task(
    description="Generate a beautiful landscape image of a sunset over mountains.",
    tools=[ImageGenerationTool()]
)

# Execute task - result will be image bytes
result = agent.print_do(task)

# Save the generated image (folder created automatically)
saved_path = save_image_to_folder(
    image_data=result,
    folder_path="my_images",
    filename="sunset.png",
    is_base64=False  # Agent returns bytes directly
)

print(f"Image saved to: {saved_path}")

from upsonic.utils.image import open_image_file, open_images_from_folder

# Open a single image
open_image_file("my_images/sunset.png")

# Open all images in a folder (limit to 3)
opened_files = open_images_from_folder("my_images", limit=3)

from upsonic.utils.image import list_images_in_folder

# List all images in folder (sorted by newest first)
images = list_images_in_folder("my_images")

for img_path in images:
    print(f"Found: {img_path}")

from upsonic import Agent, Task
from upsonic.tools.builtin_tools import ImageGenerationTool
from upsonic.utils.image import save_image_to_folder, open_image_file

# Setup
agent = Agent("openai-responses/gpt-4o")

# Generate image
task = Task(
    description="Generate an image of a futuristic city at night.",
    tools=[ImageGenerationTool()]
)
result = agent.print_do(task)

# Save and open (folder created automatically)
if isinstance(result, bytes):
    saved_path = save_image_to_folder(
        image_data=result,
        folder_path="generated_images",
        filename="city.png",
        is_base64=False
    )
    open_image_file(saved_path)