Exercise 2: Add a New Utterance (AWS CLI)

To improve the machine learning model that Amazon Lex uses to recognize requests from your users, add another sample utterance to the bot.

Adding a new utterance is a four-step process.

1. Use the GetIntent operation to get an intent from Amazon Lex.

2. Update the intent.

3. Use the PutIntent operation to send the updated intent back to Amazon Lex.

4. Use the GetBot and PutBot operations to rebuild any bot that uses the intent.

To run the commands in this exercise, you need to know the region where the commands will be run. For a list of regions, see Model Building Quotas .

The response from the GetIntent operation contains a field called checksum that identifies a specific revision of the intent. You must provide the checksum value when you use the PutIntent operation to update an intent. If you don't, you'll get the following error message:

            An error occurred (PreconditionFailedException) when calling 
            the PutIntent operation: Intent intent name already exists. 
            If you are trying to update intent name you must specify the 
            checksum.
        

Note

The following AWS CLI example is formatted for Unix, Linux, and macOS. For Windows, change "\$LATEST" to $LATEST and replace the backslash (\) continuation character at the end of each line with a caret (^).

To update the OrderFlowers intent (AWS CLI)

1. In the AWS CLI, get the intent from Amazon Lex. Amazon Lex sends the output to a file called OrderFlowers-V2.json.

   aws lex-models get-intent \
       --region region \
       --name OrderFlowers \
       --intent-version "\$LATEST" > OrderFlowers-V2.json

2. Open OrderFlowers-V2.json in a text editor.

   1. Find and delete the createdDate, lastUpdatedDate, and version fields.

   2. Add the following to the sampleUtterances field:

      I want to order flowers

   3. Save the file.

3. Send the updated intent to Amazon Lex with the following command:

   aws lex-models put-intent  \
       --region region \
       --name OrderFlowers \
       --cli-input-json file://OrderFlowers-V2.json

   Amazon Lex sends the following response:

   {
       "confirmationPrompt": {
           "maxAttempts": 2, 
           "messages": [
               {
                   "content": "Okay, your {FlowerType} will be ready for pickup by {PickupTime} on {PickupDate}.  Does this sound okay?", 
                   "contentType": "PlainText"
               }
           ]
       }, 
       "name": "OrderFlowers", 
       "checksum": "checksum", 
       "version": "$LATEST", 
       "rejectionStatement": {
           "messages": [
               {
                   "content": "Okay, I will not place your order.", 
                   "contentType": "PlainText"
               }
           ]
       }, 
       "createdDate": timestamp, 
       "lastUpdatedDate": timestamp, 
       "sampleUtterances": [
           "I would like to pick up flowers", 
           "I would like to order some flowers", 
           "I want to order flowers"
       ], 
       "slots": [
           {
               "slotType": "AMAZON.TIME", 
               "name": "PickupTime", 
               "slotConstraint": "Required", 
               "valueElicitationPrompt": {
                   "maxAttempts": 2, 
                   "messages": [
                       {
                           "content": "Pick up the {FlowerType} at what time on {PickupDate}?", 
                           "contentType": "PlainText"
                       }
                   ]
               }, 
               "priority": 3, 
               "description": "The time to pick up the flowers"
           }, 
           {
               "slotType": "FlowerTypes", 
               "name": "FlowerType", 
               "slotConstraint": "Required", 
               "valueElicitationPrompt": {
                   "maxAttempts": 2, 
                   "messages": [
                       {
                           "content": "What type of flowers would you like to order?", 
                           "contentType": "PlainText"
                       }
                   ]
               }, 
               "priority": 1, 
               "slotTypeVersion": "$LATEST", 
               "sampleUtterances": [
                   "I would like to order {FlowerType}"
               ], 
               "description": "The type of flowers to pick up"
           }, 
           {
               "slotType": "AMAZON.DATE", 
               "name": "PickupDate", 
               "slotConstraint": "Required", 
               "valueElicitationPrompt": {
                   "maxAttempts": 2, 
                   "messages": [
                       {
                           "content": "What day do you want the {FlowerType} to be picked up?", 
                           "contentType": "PlainText"
                       }
                   ]
               }, 
               "priority": 2, 
               "description": "The date to pick up the flowers"
           }
       ], 
       "fulfillmentActivity": {
           "type": "ReturnIntent"
       }, 
       "description": "Intent to order a bouquet of flowers for pick up"
   }

Now that you have updated the intent, rebuild any bot that uses it.

To rebuild the OrderFlowersBot bot (AWS CLI)

1. In the AWS CLI, get the definition of the OrderFlowersBot bot and save it to a file with the following command:

   aws lex-models get-bot \
       --region region \
       --name OrderFlowersBot \
       --version-or-alias "\$LATEST" > OrderFlowersBot-V2.json

2. In a text editor, open OrderFlowersBot-V2.json. Remove the createdDate, lastUpdatedDate, status and version fields.

3. In a text editor, add the following line to the bot definition:

   "processBehavior": "BUILD",

4. In the AWS CLI, build a new revision of the bot by running the following command to :

   aws lex-models put-bot \
       --region region \
       --name OrderFlowersBot \
       --cli-input-json file://OrderFlowersBot-V2.json

   The response from the server is:

   {
       "status": "BUILDING", 
       "intents": [
           {
               "intentVersion": "$LATEST", 
               "intentName": "OrderFlowers"
           }
       ], 
       "name": "OrderFlowersBot", 
       "locale": "en-US", 
       "checksum": "checksum", 
       "abortStatement": {
           "messages": [
               {
                   "content": "Sorry, I'm not able to assist at this time", 
                   "contentType": "PlainText"
               }
           ]
       }, 
       "version": "$LATEST", 
       "lastUpdatedDate": timestamp, 
       "createdDate": timestamp 
       "clarificationPrompt": {
           "maxAttempts": 2, 
           "messages": [
               {
                   "content": "I didn't understand you, what would you like to do?", 
                   "contentType": "PlainText"
               }
           ]
       }, 
       "voiceId": "Salli", 
       "childDirected": false, 
       "idleSessionTTLInSeconds": 600, 
       "description": "Bot to order flowers on the behalf of a user"
   }
   

Next Step

Exercise 3: Add a Lambda Function (AWS CLI)