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": "search_twitter", "description": "Search Twitter based on the specified type, count, and query criteria, with optional cursor for pagination and API key for authorization.", "parameters": {"type": {"description": "The type of search to perform (Top, Latest, Videos, Photos, or People).", "type": "str", "default": "Top"}, "count": {"description": "The number of search results to return.", "type": "str", "default": "20"}, "query": {"description": "The search query string.", "type": "str", "default": "Mr Beast"}, "cursor": {"description": "The cursor for pagination to fetch the next set of results. Defaults to None.", "type": "str, optional", "default": ""}}}, {"name": "feed_by_username", "description": "Fetches the current Instagram feed for a given username.", "parameters": {"username": {"description": "The Instagram username for which to fetch the feed.", "type": "str", "default": "therock"}, "raw": {"description": "If set to True or '1', returns the raw, unprocessed data feed. Defaults to None.", "type": "bool, optional", "default": ""}}}, {"name": "success_quote", "description": "Fetches a success quote from the RapidAPI Olato Quotes service.", "parameters": {"quotes": {"description": "A specific quote to search for. Defaults to 'random quotes'.", "type": "str", "default": "random quotes"}}}]
Get the latest 25 tweets about 'deep learning' and the raw Instagram feed for 'deeplearningai'. Also, find a random success quote.
user
assistant
[{"name": "search_twitter", "arguments": {"type": "Latest", "count": "25", "query": "deep learning"}}, {"name": "feed_by_username", "arguments": {"username": "deeplearningai", "raw": "1"}}, {"name": "success_quote", "arguments": {}}]