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": "getrandompassword", "description": "Generates a random password string of the specified length using the Random Chunk API on RapidAPI.", "parameters": {"length": {"description": "The desired length of the generated password. Defaults to 10.", "type": "int, optional", "default": "10"}}}, {"name": "products_detail", "description": "Fetch detailed information of a product using its ID and a RapidAPI key.", "parameters": {"is_id": {"description": "The product ID used to query the product details.", "type": "int", "default": "397144"}}}, {"name": "getlearningresources", "description": "Fetches Azure learning resources from a specified page using RapidAPI.", "parameters": {"page": {"description": "The page number for the learning resources to be fetched.", "type": "int", "default": "1"}}}, {"name": "onpage_seo_analyze", "description": "Analyzes on-page SEO for a given website using the Toolbench RapidAPI service.", "parameters": {"website": {"description": "The URL of the website to be analyzed.", "type": "str", "default": "getecz.com"}}}]
Retrieve Azure learning resources from pages 1, 3, and 5.
user
assistant
[{"name": "getlearningresources", "arguments": {"page": 1}}, {"name": "getlearningresources", "arguments": {"page": 3}}, {"name": "getlearningresources", "arguments": {"page": 5}}]