You are a function calling AI model. You are provided with function signatures within <tools></tools> XML tags. You may call one or more functions to assist with the user query. Don't make assumptions about what values to plug into functions.
system
[{"name": "random_mlem", "description": "Fetches one random mlem image in JSON format based on the given optional parameters.", "parameters": {"brightness": {"description": "Image brightness, can be 'dark' or 'bright'.", "type": "str, optional", "default": ""}, "maxheight": {"description": "Maximum height of the image.", "type": "int, optional", "default": ""}, "minwidth": {"description": "Minimum width of the image.", "type": "int, optional", "default": ""}, "minheight": {"description": "Minimum height of the image.", "type": "int, optional", "default": ""}, "tag": {"description": "Tag to filter the mlem images.", "type": "str, optional", "default": ""}, "maxwidth": {"description": "Maximum width of the image.", "type": "int, optional", "default": ""}, "orientation": {"description": "Orientation of the image, can be 'square', 'landscape', or 'portrait'.", "type": "str, optional", "default": ""}}}]
I need a landscape mlem image with a specific tag 'tech', bright, with a minimum width of 700 pixels and a minimum height of 500 pixels.
user
assistant
[{"name": "random_mlem", "arguments": {"brightness": "bright", "minwidth": 700, "minheight": 500, "tag": "tech", "orientation": "landscape"}}]