Multi-turn user requests:
user: Just acquired a stunning electric vehicle, and it's like a canvas waiting to be explored. Let's lock all those doors, and then let's bring the engine to life to navigate through this journey of mine. How does this whole process work in detail? Please ensure all is set for our voyage ahead.
user: I'm curating a road trip from the vibrant hues of San Francisco to the golden light of Rivermist. Could you craft an estimate of the travel distance and time? I'm keen to envision the extent of this journey.

Involved API classes: VehicleControlAPI

Initial environment state:
VehicleControlAPI: fuelLevel: 15
batteryVoltage: 13.2
engineState: stopped
doorStatus: driver: unlocked
passenger: unlocked
rear_left: unlocked
rear_right: unlocked
acTemperature: 22
fanSpeed: 70
acMode: auto
humidityLevel: 45
headLightStatus: off
parkingBrakeStatus: released
parkingBrakeForce: 0
slopeAngle: 0
distanceToNextVehicle: 100
cruiseStatus: inactive
destination: None
frontLeftTirePressure: 33
frontRightTirePressure: 33
rearLeftTirePressure: 31
rearRightTirePressure: 31
TravelAPI: current_location: San Francisco
destination: Los Angeles
travel_mode: driving
traffic_conditions: moderate
estimated_distance: 380
estimated_time: 6.5

Ground-truth function call path:
VehicleControlAPI.displayCarStatus
VehicleControlAPI.lockDoors
VehicleControlAPI.startEngine
VehicleControlAPI.get_zipcode_based_on_city
VehicleControlAPI.estimate_distance

Functions held out until the model asks (by turn index):
2: estimate_distance