Schedule Appointment - Amazon Lex V1
Overview of the Bot Blueprint (ScheduleAppointment)Overview of the Lambda Function Blueprint (lex-make-appointment-python)

If you are using Amazon Lex V2, refer to the Amazon Lex V2 guide instead.

 

If you are using Amazon Lex V1, we recommend upgrading your bots to Amazon Lex V2. We are no longer adding new features to V1 and strongly recommend using V2 for all new bots.

Schedule Appointment

The example bot in this exercise schedules appointments for a dentist's office. The example also illustrates using response cards to obtain user input with buttons. Specifically, the example illustrates generating response cards dynamically at runtime.

You can configure response cards at build time (also referred to as static response cards) or generate them dynamically in an AWS Lambda function. In this example, the bot uses the following response cards:

  • A response card that lists buttons for appointment type. See the following image for an example:

    Response card asking for the type of appointment to schedule and three options: cleaning (30 minutes), root canal (60 minutes), and whitening (90 minutes).

  • A response card that lists buttons for appointment date. See the following image for an example:

    Response card asking the date to schedule the appointment and three options: 2-15, 2-16, and 2-17.

  • A response card that lists buttons to confirm a suggested appointment time. See the following image for an example:

    Response card asking for confirmation of the time and date of the appointment, with two options: yes and no.

The available appointment dates and times vary, which requires you to generate response cards at runtime. You use an AWS Lambda function to generate these response cards dynamically. The Lambda function returns response cards in its response to Amazon Lex. Amazon Lex includes the response card in its response to the client.

If a client (for example, Facebook Messenger) supports response cards, the user can either choose from the list of buttons or type the response. Otherwise, the user simply types the response.

In addition to the button shown in the preceding example, you can also include images, attachments, and other useful information to display on response cards. For information about response cards, see Response Cards.

In this exercise, you do the following:

  • Create and test a bot (using the ScheduleAppointment blueprint). For this exercise, you use a bot blueprint to quickly set up and test the bot. For a list of available blueprints, see Amazon Lex and AWS Lambda Blueprints.This bot is preconfigured with one intent (MakeAppointment).

     

  • Create and test a Lambda function (using the lex-make-appointment-python blueprint provided by Lambda). You configure the MakeAppointment intent to use this Lambda function as a code hook to perform initialization, validation, and fulfillment tasks.

    Note

    The provided example Lambda function showcases a dynamic conversation based on the mocked-up availability of a dentist appointment. In a real application, you might use a real calendar to set an appointment.

  • Update the MakeAppointment intent configuration to use the Lambda function as a code hook. Then, test the end-to-end experience.

  • Publish the schedule appointment bot to Facebook Messenger so you can see the response cards in action (the client in the Amazon Lex console currently does not support response cards).

The following sections provide summary information about the blueprints you use in this exercise.

Topics

Overview of the Bot Blueprint (ScheduleAppointment)

The ScheduleAppointment blueprint that you use to create a bot for this exercise is preconfigured with the following:

  • Slot types – One custom slot type called AppointmentTypeValue, with the enumeration values root canal, cleaning, and whitening.

  • Intent – One intent (MakeAppointment), which is preconfigured as follows:

    • Slots – The intent is configured with the following slots:

      • Slot AppointmentType, of the AppointmentTypes custom type.

      • Slot Date, of the AMAZON.DATE built-in type.

      • Slot Time, of the AMAZON.TIME built-in type.

    • Utterances – The intent is preconfigured with the following utterances:

      • "I would like to book an appointment"

      • "Book an appointment"

      • "Book a {AppointmentType}"

      If the user utters any of these, Amazon Lex determines that MakeAppointment is the intent, and then uses the prompts to elicit slot data.

    • Prompts – The intent is preconfigured with the following prompts:

      • Prompt for the AppointmentType slot – "What type of appointment would you like to schedule?"

      • Prompt for the Date slot – "When should I schedule your {AppointmentType}?"

      • Prompt for the Time slot – "At what time do you want to schedule the {AppointmentType}?" and

        "At what time on {Date}?"

      • Confirmation prompt – "{Time} is available, should I go ahead and book your appointment?"

      • Cancel message– "Okay, I will not schedule an appointment."

Overview of the Lambda Function Blueprint (lex-make-appointment-python)

The Lambda function blueprint (lex-make-appointment-python) is a code hook for bots that you create using the ScheduleAppointment bot blueprint.

This Lambda function blueprint code can perform both initialization/validation and fulfillment tasks.

  • The Lambda function code showcases a dynamic conversation that is based on example availability for a dentist appointment (in real applications, you might use a calendar). For the day or date that the user specifies, the code is configured as follows:

    • If there are no appointments available, the Lambda function returns a response directing Amazon Lex to prompt the user for another day or date (by setting the dialogAction type to ElicitSlot). For more information, see Response Format.

    • If there is only one appointment available on the specified day or date, the Lambda function suggests the available time in the response and directs Amazon Lex to obtain user confirmation by setting the dialogAction in the response to ConfirmIntent. This illustrates how you can improve the user experience by proactively suggesting the available time for an appointment.

    • If there are multiple appointments available, the Lambda function returns a list of available times in the response to Amazon Lex. Amazon Lex returns a response to the client with the message from the Lambda function.

  • As the fulfillment code hook, the Lambda function returns a summary message indicating that an appointment is scheduled (that is, the intent is fulfilled).

Note

In this example, we show how to use response cards. The Lambda function constructs and returns a response card to Amazon Lex. The response card lists available days and times as buttons to choose from. When testing the bot using the client provided by the Amazon Lex console, you cannot see the response card. To see it, you must integrate the bot with a messaging platform, such as Facebook Messenger. For instructions, see Integrating an Amazon Lex Bot with Facebook Messenger. For more information about response cards, see Managing Messages .

When Amazon Lex invokes the Lambda function, it passes event data as input. One of the event fields is invocationSource, which the Lambda function uses to choose between an input validation and fulfillment activity. For more information, see Input Event Format.

Next Step

Step 1: Create an Amazon Lex Bot