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": "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"}}}, {"name": "max_points_on_line", "description": "Finds the maximum number of points that lie on the same straight line.", "parameters": {"points": {"description": "A list of points represented as tuples (x, y).", "type": "List[Tuple[int, int]]"}}}]
Calculate the derivative of the function i(x) = ln(x) at x = 2.
user
assistant
[{"name": "numerical_derivative", "arguments": {"function": "lambda x: math.log(x)", "x": 2}}]