Step 1: Review the Blueprints Used in this Exercise

Overview of the Bot Blueprint (BookTrip)

The blueprint (BookTrip) you use to create a bot provides the following preconfiguration:

• Slot types – Two custom slot types:

  • RoomTypes with enumeration values: king, queen, and deluxe, for use in the BookHotel intent.

  • CarTypes with enumeration values: economy, standard, midsize, full size, luxury, and minivan, for use in the BookCar intent.

     

• Intent 1 (BookHotel) – It is preconfigured as follows:

  • Preconfigured slots

    • RoomType, of the RoomTypes custom slot type

    • Location, of the AMAZON.US_CITY built-in slot type

    • CheckInDate, of the AMAZON.DATE built-in slot type

    • Nights, of the AMAZON.NUMBER built-in slot type

  • Preconfigured utterances

    • "Book a hotel"

    • "I want to make hotel reservations"

    • "Book a {Nights} stay in {Location}"

    If the user utters any of these, Amazon Lex determines that BookHotel is the intent and then prompts the user for slot data.

  • Preconfigured prompts

    • Prompt for the Location slot – "What city will you be staying in?"

    • Prompt for the CheckInDate slot – "What day do you want to check in?"

    • Prompt for the Nights slot – "How many nights will you be staying?"

    • Prompt for the RoomType slot – "What type of room would you like, queen, king, or deluxe?"

    • Confirmation statement – "Okay, I have you down for a {Nights} night stay in {Location} starting {CheckInDate}. Shall I book the reservation?"

    • Denial – "Okay, I have cancelled your reservation in progress."

       

• Intent 2 (BookCar) – It is preconfigured as follows:

  • Preconfigured slots

    • PickUpCity, of the AMAZON.US_CITY built-in type

    • PickUpDate, of the AMAZON.DATE built-in type

    • ReturnDate, of the AMAZON.DATE built-in type

    • DriverAge, of the AMAZON.NUMBER built-in type

    • CarType, of the CarTypes custom type

  • Preconfigured utterances

    • "Book a car"

    • "Reserve a car"

    • "Make a car reservation"

    If the user utters any of these, Amazon Lex determines BookCar is the intent and then prompts the user for slot data.

  • Preconfigured prompts

    • Prompt for the PickUpCity slot – "In what city do you need to rent a car?"

    • Prompt for the PickUpDate slot – "What day do you want to start your rental?""

    • Prompt for the ReturnDate slot – "What day do you want to return this car?"

    • Prompt for the DriverAge slot – "How old is the driver for this rental?"

    • Prompt for the CarType slot – "What type of car would you like to rent? Our most popular options are economy, midsize, and luxury"

    • Confirmation statement – "Okay, I have you down for a {CarType} rental in {PickUpCity} from {PickUpDate} to {ReturnDate}. Should I book the reservation?"

    • Denial – "Okay, I have cancelled your reservation in progress."

Overview of the Lambda Function Blueprint (lex-book-trip-python)

In addition to the bot blueprint, AWS Lambda provides a blueprint (lex-book-trip-python) that you can use as a code hook with the bot blueprint. For a list of bot blueprints and corresponding Lambda function blueprints, see Amazon Lex and AWS Lambda Blueprints.

When you create a bot using the BookTrip blueprint, you update configuration of both the intents (BookCar and BookHotel) by adding this Lambda function as a code hook for both initialization/validation of user data input and fulfillment of the intents.

This Lambda function code provided showcases dynamic conversation using previously known information (persisted in session attributes) about a user to initialize slot values for an intent. For more information, see Managing Conversation Context.

Next Step

Step 2: Create an Amazon Lex Bot