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": "mediainfo", "description": "Fetch media information from Instagram using the provided short code.", "parameters": {"short_code": {"description": "The short code of the Instagram media post.", "type": "str", "default": "CA_ifcxMjFR"}}}, {"name": "user_likes", "description": "Fetches the liked tweets of a specified user from the Twitter API using RapidAPI.", "parameters": {"user_id": {"description": "The ID of the user for whom to fetch liked tweets.", "type": "str", "default": "44196397"}, "limit": {"description": "The maximum number of liked tweets to return. Defaults to 40.", "type": "int, optional", "default": "40"}, "cursor": {"description": "The cursor for pagination to fetch the next set of results. Defaults to None.", "type": "str, optional", "default": ""}}}, {"name": "generate_a_face", "description": "Generates a face image using an AI service and returns the result as a JSON object or text. It utilizes the Toolbench RapidAPI service.", "parameters": {"ai": {"description": "The AI model identifier to be used for face generation.", "type": "str", "default": "1"}}}]
Find out the next 20 liked tweets of a user with ID '12345678' after the cursor 'abcdefg'.
user
assistant
[{"name": "user_likes", "arguments": {"user_id": "12345678", "limit": 20, "cursor": "abcdefg"}}]