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": "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": "neuronal_activity_rate", "description": "Calculates the neuronal activity rate based on the synaptic input rate, synaptic weight, and decay constant.", "parameters": {"synaptic_input_rate": {"description": "The rate of synaptic inputs per second.", "type": "int", "default": 1.0}, "synaptic_weight": {"description": "The weight of the synaptic input, denoting its influence. Defaults to 1.0.", "type": "float, optional", "default": 0.1}, "decay_constant": {"description": "The rate at which the neuron's potential decays. Defaults to 0.1.", "type": "float, optional", "default": 1.0}}}]
Can you calculate the cosine similarity between vectors [0.33, 0.67, 1.0] and [1.0, 0.67, 0.33]? And the neuronal activity rate with a synaptic input rate of 60, a synaptic weight of 0.9, and decay constant of 0.06?
user
assistant
[{"name": "cosine_similarity", "arguments": {"vector_a": [0.33, 0.67, 1.0], "vector_b": [1.0, 0.67, 0.33]}}, {"name": "neuronal_activity_rate", "arguments": {"synaptic_input_rate": 60, "synaptic_weight": 0.9, "decay_constant": 0.06}}]