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": "min_meeting_rooms", "description": "Finds the minimum number of meeting rooms required to accommodate all meetings.", "parameters": {"intervals": {"description": "A list of meeting time intervals, where each interval is represented as [start_time, end_time].", "type": "List[List[int]]"}}}, {"name": "cosine_similarity", "description": "Calculates the cosine similarity between two vectors.", "parameters": {"vector_a": {"description": "The first vector.", "type": "List[float]"}, "vector_b": {"description": "The second vector.", "type": "List[float]"}}}, {"name": "independent_samples_t_test", "description": "Conducts a two-sample independent t-test and returns the t-statistic, p-value, and conclusion.", "parameters": {"sample1": {"description": "The first sample of observations.", "type": "List[float]", "default": 0.05}, "sample2": {"description": "The second sample of observations.", "type": "List[float]", "default": 0.05}, "alpha": {"description": "The significance level of the test. Defaults to 0.05.", "type": "float, optional"}}}]
Calculate the cosine similarity between two vectors: [1, 2, 3] and [4, 5, 6].
user
assistant
[{"name": "cosine_similarity", "arguments": {"vector_a": [1, 2, 3], "vector_b": [4, 5, 6]}}]