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": "calculate_order_total", "description": "Calculates the total cost of an order based on the items, quantities, and prices.", "parameters": {"items": {"description": "A list of item names.", "type": "List[str]"}, "quantities": {"description": "A list of corresponding quantities for each item.", "type": "List[int]"}, "prices": {"description": "A list of corresponding prices for each item.", "type": "List[float]"}}}, {"name": "project_investment_growth", "description": "Projects the growth of an investment over a specified number of years.", "parameters": {"principal": {"description": "The initial investment amount.", "type": "float", "default": true}, "annual_addition": {"description": "The amount added to the investment annually.", "type": "float", "default": true}, "years": {"description": "The number of years to project the investment growth.", "type": "int"}, "return_rate": {"description": "The annual return rate as a decimal (e.g., 0.07 for 7%).", "type": "float"}, "inflation": {"description": "A list of annual inflation rates as decimals.", "type": "List[float]"}, "inflation_adjusted": {"description": "Whether to adjust the final value for inflation. Defaults to True.", "type": "bool, optional"}}}]
Predict the investment value after 10 years with an initial $2000, annual additions of $1000, a 6% return rate, and inflation rates of [2%, 3%, 2%, 1%, 1%, 1%, 1%, 1%, 1%, 1%].
user
assistant
[{"name": "project_investment_growth", "arguments": {"principal": 2000, "annual_addition": 1000, "years": 10, "return_rate": 0.06, "inflation": [0.02, 0.03, 0.02, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01, 0.01]}}]