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": "triangle_area", "description": "Computes the area of a triangle given its base and height.", "parameters": {"base": {"description": "The length of the base of the triangle.", "type": "float"}, "height": {"description": "The height of the triangle.", "type": "float"}}}, {"name": "linear_regression_prediction", "description": "Predicts the y-value for a given x-value using linear regression.", "parameters": {"x_values": {"description": "The x-coordinates of the data points.", "type": "List[float]"}, "y_values": {"description": "The y-coordinates of the data points.", "type": "List[float]"}, "target_x": {"description": "The x-value for which to predict the y-value.", "type": "float"}}}, {"name": "numerical_derivative", "description": "Estimates the derivative of a function at a given point using the central difference formula.", "parameters": {"function": {"description": "The function to calculate the derivative of.", "type": "Callable[[float], float]"}, "x": {"description": "The point at which to estimate the derivative.", "type": "float"}}}]
Predict the y-value for an x-value of 7 in a dataset where x-values are [1, 2, 3, 4, 5] and corresponding y-values are [2, 4, 6, 8, 10].
user
assistant
[{"name": "linear_regression_prediction", "arguments": {"x_values": [1, 2, 3, 4, 5], "y_values": [2, 4, 6, 8, 10], "target_x": 7}}]