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": "mlem_id", "description": "Fetches a mlem image by its ID in JSON format using the Mlem API.", "parameters": {"mlemid": {"description": "The ID of the mlem image to fetch.", "type": "int", "default": ""}}}, {"name": "test_app_deepfry_get", "description": "Sends a GET request to the deepfry endpoint of the RapidAPI Image Processing service with the specified URL and API key.", "parameters": {"url": {"description": "The URL of the image that you want to deepfry. Defaults to 'https://dagbot-is.the-be.st/logo.png'.", "type": "str", "default": "https://dagbot-is.the-be.st/logo.png"}}}, {"name": "loginuser", "description": "Logs in a user by sending their credentials to a specified API endpoint and returns the server's response.", "parameters": {"password": {"description": "The password for login in clear text.", "type": "str", "default": ""}, "username": {"description": "The username for login.", "type": "str", "default": ""}}}]
Fetch the mlem image with ID 1234 using the Mlem API.
user
assistant
[{"name": "mlem_id", "arguments": {"mlemid": 1234}}]