* The name of the bot. The name is not case sensitive. *
*/ private String name; /** ** A description of the bot. *
*/ private String description; /** *
* An array of Intent objects. Each intent represents a command that a user can express. For example, a
* pizza ordering bot might support an OrderPizza intent. For more information, see how-it-works.
*
* Set to true to enable access to natural language understanding improvements.
*
* When you set the enableModelImprovements parameter to true you can use the
* nluIntentConfidenceThreshold parameter to configure confidence scores. For more information, see Confidence Scores.
*
* You can only set the enableModelImprovements parameter in certain Regions. If you set the parameter
* to true, your bot has access to accuracy improvements.
*
* The Regions where you can set the enableModelImprovements parameter to true are:
*
* US East (N. Virginia) (us-east-1) *
** US West (Oregon) (us-west-2) *
** Asia Pacific (Sydney) (ap-southeast-2) *
** EU (Ireland) (eu-west-1) *
*
* In other Regions, the enableModelImprovements parameter is set to true by default. In
* these Regions setting the parameter to false throws a ValidationException exception.
*
* Determines the threshold where Amazon Lex will insert the AMAZON.FallbackIntent,
* AMAZON.KendraSearchIntent, or both when returning alternative intents in a PostContent or PostText response.
* AMAZON.FallbackIntent and AMAZON.KendraSearchIntent are only inserted if they are
* configured for the bot.
*
* You must set the enableModelImprovements parameter to true to use confidence scores in
* the following regions.
*
* US East (N. Virginia) (us-east-1) *
** US West (Oregon) (us-west-2) *
** Asia Pacific (Sydney) (ap-southeast-2) *
** EU (Ireland) (eu-west-1) *
*
* In other Regions, the enableModelImprovements parameter is set to true by default.
*
* For example, suppose a bot is configured with the confidence threshold of 0.80 and the
* AMAZON.FallbackIntent. Amazon Lex returns three alternative intents with the following confidence
* scores: IntentA (0.70), IntentB (0.60), IntentC (0.50). The response from the PostText operation
* would be:
*
* AMAZON.FallbackIntent *
** IntentA *
** IntentB *
** IntentC *
*
* When Amazon Lex doesn't understand the user's intent, it uses this message to get clarification. To specify how
* many times Amazon Lex should repeat the clarification prompt, use the maxAttempts field. If Amazon
* Lex still doesn't understand, it sends the message in the abortStatement field.
*
* When you create a clarification prompt, make sure that it suggests the correct response from the user. for * example, for a bot that orders pizza and drinks, you might create this clarification prompt: * "What would you like to do? You can say 'Order a pizza' or 'Order a drink.'" *
*
* If you have defined a fallback intent, it will be invoked if the clarification prompt is repeated the number of
* times defined in the maxAttempts field. For more information, see AMAZON.FallbackIntent.
*
* If you don't define a clarification prompt, at runtime Amazon Lex will return a 400 Bad Request exception in * three cases: *
** Follow-up prompt - When the user responds to a follow-up prompt but does not provide an intent. For example, in * response to a follow-up prompt that says "Would you like anything else today?" the user says "Yes." Amazon Lex * will return a 400 Bad Request exception because it does not have a clarification prompt to send to the user to * get an intent. *
*
* Lambda function - When using a Lambda function, you return an ElicitIntent dialog type. Since Amazon
* Lex does not have a clarification prompt to get an intent from the user, it returns a 400 Bad Request exception.
*
* PutSession operation - When using the PutSession operation, you send an ElicitIntent
* dialog type. Since Amazon Lex does not have a clarification prompt to get an intent from the user, it returns a
* 400 Bad Request exception.
*
* When Amazon Lex can't understand the user's input in context, it tries to elicit the information a few times.
* After that, Amazon Lex sends the message defined in abortStatement to the user, and then cancels the
* conversation. To set the number of retries, use the valueElicitationPrompt field for the slot type.
*
* For example, in a pizza ordering bot, Amazon Lex might ask a user "What type of crust would you like?" If the * user's response is not one of the expected responses (for example, "thin crust, "deep dish," etc.), Amazon Lex * tries to elicit a correct response a few more times. *
*
* For example, in a pizza ordering application, OrderPizza might be one of the intents. This intent
* might require the CrustType slot. You specify the valueElicitationPrompt field when you
* create the CrustType slot.
*
* If you have defined a fallback intent the cancel statement will not be sent to the user, the fallback intent is * used instead. For more information, see AMAZON.FallbackIntent. *
*/ private Statement abortStatement; /** ** The maximum time in seconds that Amazon Lex retains the data gathered in a conversation. *
** A user interaction session remains active for the amount of time specified. If no conversation occurs during this * time, the session expires and Amazon Lex deletes any data provided before the timeout. *
** For example, suppose that a user chooses the OrderPizza intent, but gets sidetracked halfway through placing an * order. If the user doesn't complete the order within the specified time, Amazon Lex discards the slot information * that it gathered, and the user must start over. *
*
* If you don't include the idleSessionTTLInSeconds element in a PutBot operation request,
* Amazon Lex uses the default value. This is also true if the request replaces an existing bot.
*
* The default is 300 seconds (5 minutes). *
*/ private Integer idleSessionTTLInSeconds; /** ** The Amazon Polly voice ID that you want Amazon Lex to use for voice interactions with the user. The locale * configured for the voice must match the locale of the bot. For more information, see Voices in Amazon Polly in the Amazon * Polly Developer Guide. *
*/ private String voiceId; /** *
* Identifies a specific revision of the $LATEST version.
*
* When you create a new bot, leave the checksum field blank. If you specify a checksum you get a
* BadRequestException exception.
*
* When you want to update a bot, set the checksum field to the checksum of the most recent revision of
* the $LATEST version. If you don't specify the checksum field, or if the checksum does
* not match the $LATEST version, you get a PreconditionFailedException exception.
*
* If you set the processBehavior element to BUILD, Amazon Lex builds the bot so that it
* can be run. If you set the element to SAVE Amazon Lex saves the bot, but doesn't build it.
*
* If you don't specify this value, the default value is BUILD.
*
* Specifies the target locale for the bot. Any intent used in the bot must be compatible with the locale of the * bot. *
*
* The default is en-US.
*
* For each Amazon Lex bot created with the Amazon Lex Model Building Service, you must specify whether your use of
* Amazon Lex is related to a website, program, or other application that is directed or targeted, in whole or in
* part, to children under age 13 and subject to the Children's Online Privacy Protection Act (COPPA) by specifying
* true or false in the childDirected field. By specifying true
* in the childDirected field, you confirm that your use of Amazon Lex is related to a website,
* program, or other application that is directed or targeted, in whole or in part, to children under age 13 and
* subject to COPPA. By specifying false in the childDirected field, you confirm that your
* use of Amazon Lex is not related to a website, program, or other application that is directed or targeted,
* in whole or in part, to children under age 13 and subject to COPPA. You may not specify a default value for the
* childDirected field that does not accurately reflect whether your use of Amazon Lex is related to a
* website, program, or other application that is directed or targeted, in whole or in part, to children under age
* 13 and subject to COPPA.
*
* If your use of Amazon Lex relates to a website, program, or other application that is directed in whole or in * part, to children under age 13, you must obtain any required verifiable parental consent under COPPA. For * information regarding the use of Amazon Lex in connection with websites, programs, or other applications that are * directed or targeted, in whole or in part, to children under age 13, see the Amazon Lex FAQ. *
*/ private Boolean childDirected; /** *
* When set to true user utterances are sent to Amazon Comprehend for sentiment analysis. If you don't
* specify detectSentiment, the default is false.
*
* When set to true a new numbered version of the bot is created. This is the same as calling the
* CreateBotVersion operation. If you don't specify createVersion, the default is
* false.
*
* A list of tags to add to the bot. You can only add tags when you create a bot, you can't use the
* PutBot operation to update the tags on a bot. To update tags, use the TagResource
* operation.
*
* The name of the bot. The name is not case sensitive. *
* * @param name * The name of the bot. The name is not case sensitive. */ public void setName(String name) { this.name = name; } /** ** The name of the bot. The name is not case sensitive. *
* * @return The name of the bot. The name is not case sensitive. */ public String getName() { return this.name; } /** ** The name of the bot. The name is not case sensitive. *
* * @param name * The name of the bot. The name is not case sensitive. * @return Returns a reference to this object so that method calls can be chained together. */ public PutBotRequest withName(String name) { setName(name); return this; } /** ** A description of the bot. *
* * @param description * A description of the bot. */ public void setDescription(String description) { this.description = description; } /** ** A description of the bot. *
* * @return A description of the bot. */ public String getDescription() { return this.description; } /** ** A description of the bot. *
* * @param description * A description of the bot. * @return Returns a reference to this object so that method calls can be chained together. */ public PutBotRequest withDescription(String description) { setDescription(description); return this; } /** *
* An array of Intent objects. Each intent represents a command that a user can express. For example, a
* pizza ordering bot might support an OrderPizza intent. For more information, see how-it-works.
*
Intent objects. Each intent represents a command that a user can express. For
* example, a pizza ordering bot might support an OrderPizza intent. For more information, see
* how-it-works.
*/
public java.util.List
* An array of Intent objects. Each intent represents a command that a user can express. For example, a
* pizza ordering bot might support an OrderPizza intent. For more information, see how-it-works.
*
Intent objects. Each intent represents a command that a user can express. For
* example, a pizza ordering bot might support an OrderPizza intent. For more information, see
* how-it-works.
*/
public void setIntents(java.util.Collection
* An array of Intent objects. Each intent represents a command that a user can express. For example, a
* pizza ordering bot might support an OrderPizza intent. For more information, see how-it-works.
*
* NOTE: This method appends the values to the existing list (if any). Use * {@link #setIntents(java.util.Collection)} or {@link #withIntents(java.util.Collection)} if you want to override * the existing values. *
* * @param intents * An array ofIntent objects. Each intent represents a command that a user can express. For
* example, a pizza ordering bot might support an OrderPizza intent. For more information, see
* how-it-works.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public PutBotRequest withIntents(Intent... intents) {
if (this.intents == null) {
setIntents(new java.util.ArrayList
* An array of Intent objects. Each intent represents a command that a user can express. For example, a
* pizza ordering bot might support an OrderPizza intent. For more information, see how-it-works.
*
Intent objects. Each intent represents a command that a user can express. For
* example, a pizza ordering bot might support an OrderPizza intent. For more information, see
* how-it-works.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public PutBotRequest withIntents(java.util.Collection
* Set to true to enable access to natural language understanding improvements.
*
* When you set the enableModelImprovements parameter to true you can use the
* nluIntentConfidenceThreshold parameter to configure confidence scores. For more information, see Confidence Scores.
*
* You can only set the enableModelImprovements parameter in certain Regions. If you set the parameter
* to true, your bot has access to accuracy improvements.
*
* The Regions where you can set the enableModelImprovements parameter to true are:
*
* US East (N. Virginia) (us-east-1) *
** US West (Oregon) (us-west-2) *
** Asia Pacific (Sydney) (ap-southeast-2) *
** EU (Ireland) (eu-west-1) *
*
* In other Regions, the enableModelImprovements parameter is set to true by default. In
* these Regions setting the parameter to false throws a ValidationException exception.
*
true to enable access to natural language understanding improvements.
*
* When you set the enableModelImprovements parameter to true you can use the
* nluIntentConfidenceThreshold parameter to configure confidence scores. For more information,
* see Confidence Scores.
*
* You can only set the enableModelImprovements parameter in certain Regions. If you set the
* parameter to true, your bot has access to accuracy improvements.
*
* The Regions where you can set the enableModelImprovements parameter to true are:
*
* US East (N. Virginia) (us-east-1) *
** US West (Oregon) (us-west-2) *
** Asia Pacific (Sydney) (ap-southeast-2) *
** EU (Ireland) (eu-west-1) *
*
* In other Regions, the enableModelImprovements parameter is set to true by
* default. In these Regions setting the parameter to false throws a
* ValidationException exception.
*/
public void setEnableModelImprovements(Boolean enableModelImprovements) {
this.enableModelImprovements = enableModelImprovements;
}
/**
*
* Set to true to enable access to natural language understanding improvements.
*
* When you set the enableModelImprovements parameter to true you can use the
* nluIntentConfidenceThreshold parameter to configure confidence scores. For more information, see Confidence Scores.
*
* You can only set the enableModelImprovements parameter in certain Regions. If you set the parameter
* to true, your bot has access to accuracy improvements.
*
* The Regions where you can set the enableModelImprovements parameter to true are:
*
* US East (N. Virginia) (us-east-1) *
** US West (Oregon) (us-west-2) *
** Asia Pacific (Sydney) (ap-southeast-2) *
** EU (Ireland) (eu-west-1) *
*
* In other Regions, the enableModelImprovements parameter is set to true by default. In
* these Regions setting the parameter to false throws a ValidationException exception.
*
true to enable access to natural language understanding improvements.
*
* When you set the enableModelImprovements parameter to true you can use the
* nluIntentConfidenceThreshold parameter to configure confidence scores. For more information,
* see Confidence Scores.
*
* You can only set the enableModelImprovements parameter in certain Regions. If you set the
* parameter to true, your bot has access to accuracy improvements.
*
* The Regions where you can set the enableModelImprovements parameter to true
* are:
*
* US East (N. Virginia) (us-east-1) *
** US West (Oregon) (us-west-2) *
** Asia Pacific (Sydney) (ap-southeast-2) *
** EU (Ireland) (eu-west-1) *
*
* In other Regions, the enableModelImprovements parameter is set to true by
* default. In these Regions setting the parameter to false throws a
* ValidationException exception.
*/
public Boolean getEnableModelImprovements() {
return this.enableModelImprovements;
}
/**
*
* Set to true to enable access to natural language understanding improvements.
*
* When you set the enableModelImprovements parameter to true you can use the
* nluIntentConfidenceThreshold parameter to configure confidence scores. For more information, see Confidence Scores.
*
* You can only set the enableModelImprovements parameter in certain Regions. If you set the parameter
* to true, your bot has access to accuracy improvements.
*
* The Regions where you can set the enableModelImprovements parameter to true are:
*
* US East (N. Virginia) (us-east-1) *
** US West (Oregon) (us-west-2) *
** Asia Pacific (Sydney) (ap-southeast-2) *
** EU (Ireland) (eu-west-1) *
*
* In other Regions, the enableModelImprovements parameter is set to true by default. In
* these Regions setting the parameter to false throws a ValidationException exception.
*
true to enable access to natural language understanding improvements.
*
* When you set the enableModelImprovements parameter to true you can use the
* nluIntentConfidenceThreshold parameter to configure confidence scores. For more information,
* see Confidence Scores.
*
* You can only set the enableModelImprovements parameter in certain Regions. If you set the
* parameter to true, your bot has access to accuracy improvements.
*
* The Regions where you can set the enableModelImprovements parameter to true are:
*
* US East (N. Virginia) (us-east-1) *
** US West (Oregon) (us-west-2) *
** Asia Pacific (Sydney) (ap-southeast-2) *
** EU (Ireland) (eu-west-1) *
*
* In other Regions, the enableModelImprovements parameter is set to true by
* default. In these Regions setting the parameter to false throws a
* ValidationException exception.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public PutBotRequest withEnableModelImprovements(Boolean enableModelImprovements) {
setEnableModelImprovements(enableModelImprovements);
return this;
}
/**
*
* Set to true to enable access to natural language understanding improvements.
*
* When you set the enableModelImprovements parameter to true you can use the
* nluIntentConfidenceThreshold parameter to configure confidence scores. For more information, see Confidence Scores.
*
* You can only set the enableModelImprovements parameter in certain Regions. If you set the parameter
* to true, your bot has access to accuracy improvements.
*
* The Regions where you can set the enableModelImprovements parameter to true are:
*
* US East (N. Virginia) (us-east-1) *
** US West (Oregon) (us-west-2) *
** Asia Pacific (Sydney) (ap-southeast-2) *
** EU (Ireland) (eu-west-1) *
*
* In other Regions, the enableModelImprovements parameter is set to true by default. In
* these Regions setting the parameter to false throws a ValidationException exception.
*
true to enable access to natural language understanding improvements.
*
* When you set the enableModelImprovements parameter to true you can use the
* nluIntentConfidenceThreshold parameter to configure confidence scores. For more information,
* see Confidence Scores.
*
* You can only set the enableModelImprovements parameter in certain Regions. If you set the
* parameter to true, your bot has access to accuracy improvements.
*
* The Regions where you can set the enableModelImprovements parameter to true
* are:
*
* US East (N. Virginia) (us-east-1) *
** US West (Oregon) (us-west-2) *
** Asia Pacific (Sydney) (ap-southeast-2) *
** EU (Ireland) (eu-west-1) *
*
* In other Regions, the enableModelImprovements parameter is set to true by
* default. In these Regions setting the parameter to false throws a
* ValidationException exception.
*/
public Boolean isEnableModelImprovements() {
return this.enableModelImprovements;
}
/**
*
* Determines the threshold where Amazon Lex will insert the AMAZON.FallbackIntent,
* AMAZON.KendraSearchIntent, or both when returning alternative intents in a PostContent or PostText response.
* AMAZON.FallbackIntent and AMAZON.KendraSearchIntent are only inserted if they are
* configured for the bot.
*
* You must set the enableModelImprovements parameter to true to use confidence scores in
* the following regions.
*
* US East (N. Virginia) (us-east-1) *
** US West (Oregon) (us-west-2) *
** Asia Pacific (Sydney) (ap-southeast-2) *
** EU (Ireland) (eu-west-1) *
*
* In other Regions, the enableModelImprovements parameter is set to true by default.
*
* For example, suppose a bot is configured with the confidence threshold of 0.80 and the
* AMAZON.FallbackIntent. Amazon Lex returns three alternative intents with the following confidence
* scores: IntentA (0.70), IntentB (0.60), IntentC (0.50). The response from the PostText operation
* would be:
*
* AMAZON.FallbackIntent *
** IntentA *
** IntentB *
** IntentC *
*AMAZON.FallbackIntent,
* AMAZON.KendraSearchIntent, or both when returning alternative intents in a PostContent or PostText response.
* AMAZON.FallbackIntent and AMAZON.KendraSearchIntent are only inserted if they
* are configured for the bot.
*
* You must set the enableModelImprovements parameter to true to use confidence
* scores in the following regions.
*
* US East (N. Virginia) (us-east-1) *
** US West (Oregon) (us-west-2) *
** Asia Pacific (Sydney) (ap-southeast-2) *
** EU (Ireland) (eu-west-1) *
*
* In other Regions, the enableModelImprovements parameter is set to true by
* default.
*
* For example, suppose a bot is configured with the confidence threshold of 0.80 and the
* AMAZON.FallbackIntent. Amazon Lex returns three alternative intents with the following
* confidence scores: IntentA (0.70), IntentB (0.60), IntentC (0.50). The response from the
* PostText operation would be:
*
* AMAZON.FallbackIntent *
** IntentA *
** IntentB *
** IntentC *
*
* Determines the threshold where Amazon Lex will insert the AMAZON.FallbackIntent,
* AMAZON.KendraSearchIntent, or both when returning alternative intents in a PostContent or PostText response.
* AMAZON.FallbackIntent and AMAZON.KendraSearchIntent are only inserted if they are
* configured for the bot.
*
* You must set the enableModelImprovements parameter to true to use confidence scores in
* the following regions.
*
* US East (N. Virginia) (us-east-1) *
** US West (Oregon) (us-west-2) *
** Asia Pacific (Sydney) (ap-southeast-2) *
** EU (Ireland) (eu-west-1) *
*
* In other Regions, the enableModelImprovements parameter is set to true by default.
*
* For example, suppose a bot is configured with the confidence threshold of 0.80 and the
* AMAZON.FallbackIntent. Amazon Lex returns three alternative intents with the following confidence
* scores: IntentA (0.70), IntentB (0.60), IntentC (0.50). The response from the PostText operation
* would be:
*
* AMAZON.FallbackIntent *
** IntentA *
** IntentB *
** IntentC *
*AMAZON.FallbackIntent,
* AMAZON.KendraSearchIntent, or both when returning alternative intents in a PostContent or PostText response.
* AMAZON.FallbackIntent and AMAZON.KendraSearchIntent are only inserted if they
* are configured for the bot.
*
* You must set the enableModelImprovements parameter to true to use confidence
* scores in the following regions.
*
* US East (N. Virginia) (us-east-1) *
** US West (Oregon) (us-west-2) *
** Asia Pacific (Sydney) (ap-southeast-2) *
** EU (Ireland) (eu-west-1) *
*
* In other Regions, the enableModelImprovements parameter is set to true by
* default.
*
* For example, suppose a bot is configured with the confidence threshold of 0.80 and the
* AMAZON.FallbackIntent. Amazon Lex returns three alternative intents with the following
* confidence scores: IntentA (0.70), IntentB (0.60), IntentC (0.50). The response from the
* PostText operation would be:
*
* AMAZON.FallbackIntent *
** IntentA *
** IntentB *
** IntentC *
*
* Determines the threshold where Amazon Lex will insert the AMAZON.FallbackIntent,
* AMAZON.KendraSearchIntent, or both when returning alternative intents in a PostContent or PostText response.
* AMAZON.FallbackIntent and AMAZON.KendraSearchIntent are only inserted if they are
* configured for the bot.
*
* You must set the enableModelImprovements parameter to true to use confidence scores in
* the following regions.
*
* US East (N. Virginia) (us-east-1) *
** US West (Oregon) (us-west-2) *
** Asia Pacific (Sydney) (ap-southeast-2) *
** EU (Ireland) (eu-west-1) *
*
* In other Regions, the enableModelImprovements parameter is set to true by default.
*
* For example, suppose a bot is configured with the confidence threshold of 0.80 and the
* AMAZON.FallbackIntent. Amazon Lex returns three alternative intents with the following confidence
* scores: IntentA (0.70), IntentB (0.60), IntentC (0.50). The response from the PostText operation
* would be:
*
* AMAZON.FallbackIntent *
** IntentA *
** IntentB *
** IntentC *
*AMAZON.FallbackIntent,
* AMAZON.KendraSearchIntent, or both when returning alternative intents in a PostContent or PostText response.
* AMAZON.FallbackIntent and AMAZON.KendraSearchIntent are only inserted if they
* are configured for the bot.
*
* You must set the enableModelImprovements parameter to true to use confidence
* scores in the following regions.
*
* US East (N. Virginia) (us-east-1) *
** US West (Oregon) (us-west-2) *
** Asia Pacific (Sydney) (ap-southeast-2) *
** EU (Ireland) (eu-west-1) *
*
* In other Regions, the enableModelImprovements parameter is set to true by
* default.
*
* For example, suppose a bot is configured with the confidence threshold of 0.80 and the
* AMAZON.FallbackIntent. Amazon Lex returns three alternative intents with the following
* confidence scores: IntentA (0.70), IntentB (0.60), IntentC (0.50). The response from the
* PostText operation would be:
*
* AMAZON.FallbackIntent *
** IntentA *
** IntentB *
** IntentC *
*
* When Amazon Lex doesn't understand the user's intent, it uses this message to get clarification. To specify how
* many times Amazon Lex should repeat the clarification prompt, use the maxAttempts field. If Amazon
* Lex still doesn't understand, it sends the message in the abortStatement field.
*
* When you create a clarification prompt, make sure that it suggests the correct response from the user. for * example, for a bot that orders pizza and drinks, you might create this clarification prompt: * "What would you like to do? You can say 'Order a pizza' or 'Order a drink.'" *
*
* If you have defined a fallback intent, it will be invoked if the clarification prompt is repeated the number of
* times defined in the maxAttempts field. For more information, see AMAZON.FallbackIntent.
*
* If you don't define a clarification prompt, at runtime Amazon Lex will return a 400 Bad Request exception in * three cases: *
** Follow-up prompt - When the user responds to a follow-up prompt but does not provide an intent. For example, in * response to a follow-up prompt that says "Would you like anything else today?" the user says "Yes." Amazon Lex * will return a 400 Bad Request exception because it does not have a clarification prompt to send to the user to * get an intent. *
*
* Lambda function - When using a Lambda function, you return an ElicitIntent dialog type. Since Amazon
* Lex does not have a clarification prompt to get an intent from the user, it returns a 400 Bad Request exception.
*
* PutSession operation - When using the PutSession operation, you send an ElicitIntent
* dialog type. Since Amazon Lex does not have a clarification prompt to get an intent from the user, it returns a
* 400 Bad Request exception.
*
maxAttempts
* field. If Amazon Lex still doesn't understand, it sends the message in the abortStatement
* field.
* * When you create a clarification prompt, make sure that it suggests the correct response from the user. for * example, for a bot that orders pizza and drinks, you might create this clarification prompt: * "What would you like to do? You can say 'Order a pizza' or 'Order a drink.'" *
*
* If you have defined a fallback intent, it will be invoked if the clarification prompt is repeated the
* number of times defined in the maxAttempts field. For more information, see AMAZON.FallbackIntent.
*
* If you don't define a clarification prompt, at runtime Amazon Lex will return a 400 Bad Request exception * in three cases: *
** Follow-up prompt - When the user responds to a follow-up prompt but does not provide an intent. For * example, in response to a follow-up prompt that says "Would you like anything else today?" the user says * "Yes." Amazon Lex will return a 400 Bad Request exception because it does not have a clarification prompt * to send to the user to get an intent. *
*
* Lambda function - When using a Lambda function, you return an ElicitIntent dialog type. Since
* Amazon Lex does not have a clarification prompt to get an intent from the user, it returns a 400 Bad
* Request exception.
*
* PutSession operation - When using the PutSession operation, you send an
* ElicitIntent dialog type. Since Amazon Lex does not have a clarification prompt to get an
* intent from the user, it returns a 400 Bad Request exception.
*
* When Amazon Lex doesn't understand the user's intent, it uses this message to get clarification. To specify how
* many times Amazon Lex should repeat the clarification prompt, use the maxAttempts field. If Amazon
* Lex still doesn't understand, it sends the message in the abortStatement field.
*
* When you create a clarification prompt, make sure that it suggests the correct response from the user. for * example, for a bot that orders pizza and drinks, you might create this clarification prompt: * "What would you like to do? You can say 'Order a pizza' or 'Order a drink.'" *
*
* If you have defined a fallback intent, it will be invoked if the clarification prompt is repeated the number of
* times defined in the maxAttempts field. For more information, see AMAZON.FallbackIntent.
*
* If you don't define a clarification prompt, at runtime Amazon Lex will return a 400 Bad Request exception in * three cases: *
** Follow-up prompt - When the user responds to a follow-up prompt but does not provide an intent. For example, in * response to a follow-up prompt that says "Would you like anything else today?" the user says "Yes." Amazon Lex * will return a 400 Bad Request exception because it does not have a clarification prompt to send to the user to * get an intent. *
*
* Lambda function - When using a Lambda function, you return an ElicitIntent dialog type. Since Amazon
* Lex does not have a clarification prompt to get an intent from the user, it returns a 400 Bad Request exception.
*
* PutSession operation - When using the PutSession operation, you send an ElicitIntent
* dialog type. Since Amazon Lex does not have a clarification prompt to get an intent from the user, it returns a
* 400 Bad Request exception.
*
maxAttempts field. If Amazon Lex still doesn't understand, it sends the message in the
* abortStatement field.
* * When you create a clarification prompt, make sure that it suggests the correct response from the user. * for example, for a bot that orders pizza and drinks, you might create this clarification prompt: * "What would you like to do? You can say 'Order a pizza' or 'Order a drink.'" *
*
* If you have defined a fallback intent, it will be invoked if the clarification prompt is repeated the
* number of times defined in the maxAttempts field. For more information, see
* AMAZON.FallbackIntent.
*
* If you don't define a clarification prompt, at runtime Amazon Lex will return a 400 Bad Request exception * in three cases: *
** Follow-up prompt - When the user responds to a follow-up prompt but does not provide an intent. For * example, in response to a follow-up prompt that says "Would you like anything else today?" the user says * "Yes." Amazon Lex will return a 400 Bad Request exception because it does not have a clarification prompt * to send to the user to get an intent. *
*
* Lambda function - When using a Lambda function, you return an ElicitIntent dialog type.
* Since Amazon Lex does not have a clarification prompt to get an intent from the user, it returns a 400
* Bad Request exception.
*
* PutSession operation - When using the PutSession operation, you send an
* ElicitIntent dialog type. Since Amazon Lex does not have a clarification prompt to get an
* intent from the user, it returns a 400 Bad Request exception.
*
* When Amazon Lex doesn't understand the user's intent, it uses this message to get clarification. To specify how
* many times Amazon Lex should repeat the clarification prompt, use the maxAttempts field. If Amazon
* Lex still doesn't understand, it sends the message in the abortStatement field.
*
* When you create a clarification prompt, make sure that it suggests the correct response from the user. for * example, for a bot that orders pizza and drinks, you might create this clarification prompt: * "What would you like to do? You can say 'Order a pizza' or 'Order a drink.'" *
*
* If you have defined a fallback intent, it will be invoked if the clarification prompt is repeated the number of
* times defined in the maxAttempts field. For more information, see AMAZON.FallbackIntent.
*
* If you don't define a clarification prompt, at runtime Amazon Lex will return a 400 Bad Request exception in * three cases: *
** Follow-up prompt - When the user responds to a follow-up prompt but does not provide an intent. For example, in * response to a follow-up prompt that says "Would you like anything else today?" the user says "Yes." Amazon Lex * will return a 400 Bad Request exception because it does not have a clarification prompt to send to the user to * get an intent. *
*
* Lambda function - When using a Lambda function, you return an ElicitIntent dialog type. Since Amazon
* Lex does not have a clarification prompt to get an intent from the user, it returns a 400 Bad Request exception.
*
* PutSession operation - When using the PutSession operation, you send an ElicitIntent
* dialog type. Since Amazon Lex does not have a clarification prompt to get an intent from the user, it returns a
* 400 Bad Request exception.
*
maxAttempts
* field. If Amazon Lex still doesn't understand, it sends the message in the abortStatement
* field.
* * When you create a clarification prompt, make sure that it suggests the correct response from the user. for * example, for a bot that orders pizza and drinks, you might create this clarification prompt: * "What would you like to do? You can say 'Order a pizza' or 'Order a drink.'" *
*
* If you have defined a fallback intent, it will be invoked if the clarification prompt is repeated the
* number of times defined in the maxAttempts field. For more information, see AMAZON.FallbackIntent.
*
* If you don't define a clarification prompt, at runtime Amazon Lex will return a 400 Bad Request exception * in three cases: *
** Follow-up prompt - When the user responds to a follow-up prompt but does not provide an intent. For * example, in response to a follow-up prompt that says "Would you like anything else today?" the user says * "Yes." Amazon Lex will return a 400 Bad Request exception because it does not have a clarification prompt * to send to the user to get an intent. *
*
* Lambda function - When using a Lambda function, you return an ElicitIntent dialog type. Since
* Amazon Lex does not have a clarification prompt to get an intent from the user, it returns a 400 Bad
* Request exception.
*
* PutSession operation - When using the PutSession operation, you send an
* ElicitIntent dialog type. Since Amazon Lex does not have a clarification prompt to get an
* intent from the user, it returns a 400 Bad Request exception.
*
* When Amazon Lex can't understand the user's input in context, it tries to elicit the information a few times.
* After that, Amazon Lex sends the message defined in abortStatement to the user, and then cancels the
* conversation. To set the number of retries, use the valueElicitationPrompt field for the slot type.
*
* For example, in a pizza ordering bot, Amazon Lex might ask a user "What type of crust would you like?" If the * user's response is not one of the expected responses (for example, "thin crust, "deep dish," etc.), Amazon Lex * tries to elicit a correct response a few more times. *
*
* For example, in a pizza ordering application, OrderPizza might be one of the intents. This intent
* might require the CrustType slot. You specify the valueElicitationPrompt field when you
* create the CrustType slot.
*
* If you have defined a fallback intent the cancel statement will not be sent to the user, the fallback intent is * used instead. For more information, see AMAZON.FallbackIntent. *
* * @param abortStatement * When Amazon Lex can't understand the user's input in context, it tries to elicit the information a few * times. After that, Amazon Lex sends the message defined inabortStatement to the user, and
* then cancels the conversation. To set the number of retries, use the valueElicitationPrompt
* field for the slot type.
* * For example, in a pizza ordering bot, Amazon Lex might ask a user "What type of crust would you like?" If * the user's response is not one of the expected responses (for example, "thin crust, "deep dish," etc.), * Amazon Lex tries to elicit a correct response a few more times. *
*
* For example, in a pizza ordering application, OrderPizza might be one of the intents. This
* intent might require the CrustType slot. You specify the valueElicitationPrompt
* field when you create the CrustType slot.
*
* If you have defined a fallback intent the cancel statement will not be sent to the user, the fallback * intent is used instead. For more information, see AMAZON.FallbackIntent. */ public void setAbortStatement(Statement abortStatement) { this.abortStatement = abortStatement; } /** *
* When Amazon Lex can't understand the user's input in context, it tries to elicit the information a few times.
* After that, Amazon Lex sends the message defined in abortStatement to the user, and then cancels the
* conversation. To set the number of retries, use the valueElicitationPrompt field for the slot type.
*
* For example, in a pizza ordering bot, Amazon Lex might ask a user "What type of crust would you like?" If the * user's response is not one of the expected responses (for example, "thin crust, "deep dish," etc.), Amazon Lex * tries to elicit a correct response a few more times. *
*
* For example, in a pizza ordering application, OrderPizza might be one of the intents. This intent
* might require the CrustType slot. You specify the valueElicitationPrompt field when you
* create the CrustType slot.
*
* If you have defined a fallback intent the cancel statement will not be sent to the user, the fallback intent is * used instead. For more information, see AMAZON.FallbackIntent. *
* * @return When Amazon Lex can't understand the user's input in context, it tries to elicit the information a few * times. After that, Amazon Lex sends the message defined inabortStatement to the user, and
* then cancels the conversation. To set the number of retries, use the valueElicitationPrompt
* field for the slot type.
* * For example, in a pizza ordering bot, Amazon Lex might ask a user "What type of crust would you like?" If * the user's response is not one of the expected responses (for example, "thin crust, "deep dish," etc.), * Amazon Lex tries to elicit a correct response a few more times. *
*
* For example, in a pizza ordering application, OrderPizza might be one of the intents. This
* intent might require the CrustType slot. You specify the valueElicitationPrompt
* field when you create the CrustType slot.
*
* If you have defined a fallback intent the cancel statement will not be sent to the user, the fallback * intent is used instead. For more information, see * AMAZON.FallbackIntent. */ public Statement getAbortStatement() { return this.abortStatement; } /** *
* When Amazon Lex can't understand the user's input in context, it tries to elicit the information a few times.
* After that, Amazon Lex sends the message defined in abortStatement to the user, and then cancels the
* conversation. To set the number of retries, use the valueElicitationPrompt field for the slot type.
*
* For example, in a pizza ordering bot, Amazon Lex might ask a user "What type of crust would you like?" If the * user's response is not one of the expected responses (for example, "thin crust, "deep dish," etc.), Amazon Lex * tries to elicit a correct response a few more times. *
*
* For example, in a pizza ordering application, OrderPizza might be one of the intents. This intent
* might require the CrustType slot. You specify the valueElicitationPrompt field when you
* create the CrustType slot.
*
* If you have defined a fallback intent the cancel statement will not be sent to the user, the fallback intent is * used instead. For more information, see AMAZON.FallbackIntent. *
* * @param abortStatement * When Amazon Lex can't understand the user's input in context, it tries to elicit the information a few * times. After that, Amazon Lex sends the message defined inabortStatement to the user, and
* then cancels the conversation. To set the number of retries, use the valueElicitationPrompt
* field for the slot type.
* * For example, in a pizza ordering bot, Amazon Lex might ask a user "What type of crust would you like?" If * the user's response is not one of the expected responses (for example, "thin crust, "deep dish," etc.), * Amazon Lex tries to elicit a correct response a few more times. *
*
* For example, in a pizza ordering application, OrderPizza might be one of the intents. This
* intent might require the CrustType slot. You specify the valueElicitationPrompt
* field when you create the CrustType slot.
*
* If you have defined a fallback intent the cancel statement will not be sent to the user, the fallback * intent is used instead. For more information, see AMAZON.FallbackIntent. * @return Returns a reference to this object so that method calls can be chained together. */ public PutBotRequest withAbortStatement(Statement abortStatement) { setAbortStatement(abortStatement); return this; } /** *
* The maximum time in seconds that Amazon Lex retains the data gathered in a conversation. *
** A user interaction session remains active for the amount of time specified. If no conversation occurs during this * time, the session expires and Amazon Lex deletes any data provided before the timeout. *
** For example, suppose that a user chooses the OrderPizza intent, but gets sidetracked halfway through placing an * order. If the user doesn't complete the order within the specified time, Amazon Lex discards the slot information * that it gathered, and the user must start over. *
*
* If you don't include the idleSessionTTLInSeconds element in a PutBot operation request,
* Amazon Lex uses the default value. This is also true if the request replaces an existing bot.
*
* The default is 300 seconds (5 minutes). *
* * @param idleSessionTTLInSeconds * The maximum time in seconds that Amazon Lex retains the data gathered in a conversation. ** A user interaction session remains active for the amount of time specified. If no conversation occurs * during this time, the session expires and Amazon Lex deletes any data provided before the timeout. *
** For example, suppose that a user chooses the OrderPizza intent, but gets sidetracked halfway through * placing an order. If the user doesn't complete the order within the specified time, Amazon Lex discards * the slot information that it gathered, and the user must start over. *
*
* If you don't include the idleSessionTTLInSeconds element in a PutBot operation
* request, Amazon Lex uses the default value. This is also true if the request replaces an existing bot.
*
* The default is 300 seconds (5 minutes). */ public void setIdleSessionTTLInSeconds(Integer idleSessionTTLInSeconds) { this.idleSessionTTLInSeconds = idleSessionTTLInSeconds; } /** *
* The maximum time in seconds that Amazon Lex retains the data gathered in a conversation. *
** A user interaction session remains active for the amount of time specified. If no conversation occurs during this * time, the session expires and Amazon Lex deletes any data provided before the timeout. *
** For example, suppose that a user chooses the OrderPizza intent, but gets sidetracked halfway through placing an * order. If the user doesn't complete the order within the specified time, Amazon Lex discards the slot information * that it gathered, and the user must start over. *
*
* If you don't include the idleSessionTTLInSeconds element in a PutBot operation request,
* Amazon Lex uses the default value. This is also true if the request replaces an existing bot.
*
* The default is 300 seconds (5 minutes). *
* * @return The maximum time in seconds that Amazon Lex retains the data gathered in a conversation. ** A user interaction session remains active for the amount of time specified. If no conversation occurs * during this time, the session expires and Amazon Lex deletes any data provided before the timeout. *
** For example, suppose that a user chooses the OrderPizza intent, but gets sidetracked halfway through * placing an order. If the user doesn't complete the order within the specified time, Amazon Lex discards * the slot information that it gathered, and the user must start over. *
*
* If you don't include the idleSessionTTLInSeconds element in a PutBot operation
* request, Amazon Lex uses the default value. This is also true if the request replaces an existing bot.
*
* The default is 300 seconds (5 minutes). */ public Integer getIdleSessionTTLInSeconds() { return this.idleSessionTTLInSeconds; } /** *
* The maximum time in seconds that Amazon Lex retains the data gathered in a conversation. *
** A user interaction session remains active for the amount of time specified. If no conversation occurs during this * time, the session expires and Amazon Lex deletes any data provided before the timeout. *
** For example, suppose that a user chooses the OrderPizza intent, but gets sidetracked halfway through placing an * order. If the user doesn't complete the order within the specified time, Amazon Lex discards the slot information * that it gathered, and the user must start over. *
*
* If you don't include the idleSessionTTLInSeconds element in a PutBot operation request,
* Amazon Lex uses the default value. This is also true if the request replaces an existing bot.
*
* The default is 300 seconds (5 minutes). *
* * @param idleSessionTTLInSeconds * The maximum time in seconds that Amazon Lex retains the data gathered in a conversation. ** A user interaction session remains active for the amount of time specified. If no conversation occurs * during this time, the session expires and Amazon Lex deletes any data provided before the timeout. *
** For example, suppose that a user chooses the OrderPizza intent, but gets sidetracked halfway through * placing an order. If the user doesn't complete the order within the specified time, Amazon Lex discards * the slot information that it gathered, and the user must start over. *
*
* If you don't include the idleSessionTTLInSeconds element in a PutBot operation
* request, Amazon Lex uses the default value. This is also true if the request replaces an existing bot.
*
* The default is 300 seconds (5 minutes). * @return Returns a reference to this object so that method calls can be chained together. */ public PutBotRequest withIdleSessionTTLInSeconds(Integer idleSessionTTLInSeconds) { setIdleSessionTTLInSeconds(idleSessionTTLInSeconds); return this; } /** *
* The Amazon Polly voice ID that you want Amazon Lex to use for voice interactions with the user. The locale * configured for the voice must match the locale of the bot. For more information, see Voices in Amazon Polly in the Amazon * Polly Developer Guide. *
* * @param voiceId * The Amazon Polly voice ID that you want Amazon Lex to use for voice interactions with the user. The locale * configured for the voice must match the locale of the bot. For more information, see Voices in Amazon Polly in the * Amazon Polly Developer Guide. */ public void setVoiceId(String voiceId) { this.voiceId = voiceId; } /** ** The Amazon Polly voice ID that you want Amazon Lex to use for voice interactions with the user. The locale * configured for the voice must match the locale of the bot. For more information, see Voices in Amazon Polly in the Amazon * Polly Developer Guide. *
* * @return The Amazon Polly voice ID that you want Amazon Lex to use for voice interactions with the user. The * locale configured for the voice must match the locale of the bot. For more information, see Voices in Amazon Polly in the * Amazon Polly Developer Guide. */ public String getVoiceId() { return this.voiceId; } /** ** The Amazon Polly voice ID that you want Amazon Lex to use for voice interactions with the user. The locale * configured for the voice must match the locale of the bot. For more information, see Voices in Amazon Polly in the Amazon * Polly Developer Guide. *
* * @param voiceId * The Amazon Polly voice ID that you want Amazon Lex to use for voice interactions with the user. The locale * configured for the voice must match the locale of the bot. For more information, see Voices in Amazon Polly in the * Amazon Polly Developer Guide. * @return Returns a reference to this object so that method calls can be chained together. */ public PutBotRequest withVoiceId(String voiceId) { setVoiceId(voiceId); return this; } /** *
* Identifies a specific revision of the $LATEST version.
*
* When you create a new bot, leave the checksum field blank. If you specify a checksum you get a
* BadRequestException exception.
*
* When you want to update a bot, set the checksum field to the checksum of the most recent revision of
* the $LATEST version. If you don't specify the checksum field, or if the checksum does
* not match the $LATEST version, you get a PreconditionFailedException exception.
*
$LATEST version.
*
* When you create a new bot, leave the checksum field blank. If you specify a checksum you get
* a BadRequestException exception.
*
* When you want to update a bot, set the checksum field to the checksum of the most recent
* revision of the $LATEST version. If you don't specify the checksum field, or if
* the checksum does not match the $LATEST version, you get a
* PreconditionFailedException exception.
*/
public void setChecksum(String checksum) {
this.checksum = checksum;
}
/**
*
* Identifies a specific revision of the $LATEST version.
*
* When you create a new bot, leave the checksum field blank. If you specify a checksum you get a
* BadRequestException exception.
*
* When you want to update a bot, set the checksum field to the checksum of the most recent revision of
* the $LATEST version. If you don't specify the checksum field, or if the checksum does
* not match the $LATEST version, you get a PreconditionFailedException exception.
*
$LATEST version.
*
* When you create a new bot, leave the checksum field blank. If you specify a checksum you get
* a BadRequestException exception.
*
* When you want to update a bot, set the checksum field to the checksum of the most recent
* revision of the $LATEST version. If you don't specify the checksum field, or
* if the checksum does not match the $LATEST version, you get a
* PreconditionFailedException exception.
*/
public String getChecksum() {
return this.checksum;
}
/**
*
* Identifies a specific revision of the $LATEST version.
*
* When you create a new bot, leave the checksum field blank. If you specify a checksum you get a
* BadRequestException exception.
*
* When you want to update a bot, set the checksum field to the checksum of the most recent revision of
* the $LATEST version. If you don't specify the checksum field, or if the checksum does
* not match the $LATEST version, you get a PreconditionFailedException exception.
*
$LATEST version.
*
* When you create a new bot, leave the checksum field blank. If you specify a checksum you get
* a BadRequestException exception.
*
* When you want to update a bot, set the checksum field to the checksum of the most recent
* revision of the $LATEST version. If you don't specify the checksum field, or if
* the checksum does not match the $LATEST version, you get a
* PreconditionFailedException exception.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public PutBotRequest withChecksum(String checksum) {
setChecksum(checksum);
return this;
}
/**
*
* If you set the processBehavior element to BUILD, Amazon Lex builds the bot so that it
* can be run. If you set the element to SAVE Amazon Lex saves the bot, but doesn't build it.
*
* If you don't specify this value, the default value is BUILD.
*
processBehavior element to BUILD, Amazon Lex builds the bot so
* that it can be run. If you set the element to SAVE Amazon Lex saves the bot, but doesn't
* build it.
*
* If you don't specify this value, the default value is BUILD.
* @see ProcessBehavior
*/
public void setProcessBehavior(String processBehavior) {
this.processBehavior = processBehavior;
}
/**
*
* If you set the processBehavior element to BUILD, Amazon Lex builds the bot so that it
* can be run. If you set the element to SAVE Amazon Lex saves the bot, but doesn't build it.
*
* If you don't specify this value, the default value is BUILD.
*
processBehavior element to BUILD, Amazon Lex builds the bot so
* that it can be run. If you set the element to SAVE Amazon Lex saves the bot, but doesn't
* build it.
*
* If you don't specify this value, the default value is BUILD.
* @see ProcessBehavior
*/
public String getProcessBehavior() {
return this.processBehavior;
}
/**
*
* If you set the processBehavior element to BUILD, Amazon Lex builds the bot so that it
* can be run. If you set the element to SAVE Amazon Lex saves the bot, but doesn't build it.
*
* If you don't specify this value, the default value is BUILD.
*
processBehavior element to BUILD, Amazon Lex builds the bot so
* that it can be run. If you set the element to SAVE Amazon Lex saves the bot, but doesn't
* build it.
*
* If you don't specify this value, the default value is BUILD.
* @return Returns a reference to this object so that method calls can be chained together.
* @see ProcessBehavior
*/
public PutBotRequest withProcessBehavior(String processBehavior) {
setProcessBehavior(processBehavior);
return this;
}
/**
*
* If you set the processBehavior element to BUILD, Amazon Lex builds the bot so that it
* can be run. If you set the element to SAVE Amazon Lex saves the bot, but doesn't build it.
*
* If you don't specify this value, the default value is BUILD.
*
processBehavior element to BUILD, Amazon Lex builds the bot so
* that it can be run. If you set the element to SAVE Amazon Lex saves the bot, but doesn't
* build it.
*
* If you don't specify this value, the default value is BUILD.
* @see ProcessBehavior
*/
public void setProcessBehavior(ProcessBehavior processBehavior) {
withProcessBehavior(processBehavior);
}
/**
*
* If you set the processBehavior element to BUILD, Amazon Lex builds the bot so that it
* can be run. If you set the element to SAVE Amazon Lex saves the bot, but doesn't build it.
*
* If you don't specify this value, the default value is BUILD.
*
processBehavior element to BUILD, Amazon Lex builds the bot so
* that it can be run. If you set the element to SAVE Amazon Lex saves the bot, but doesn't
* build it.
*
* If you don't specify this value, the default value is BUILD.
* @return Returns a reference to this object so that method calls can be chained together.
* @see ProcessBehavior
*/
public PutBotRequest withProcessBehavior(ProcessBehavior processBehavior) {
this.processBehavior = processBehavior.toString();
return this;
}
/**
*
* Specifies the target locale for the bot. Any intent used in the bot must be compatible with the locale of the * bot. *
*
* The default is en-US.
*
* The default is en-US.
* @see Locale
*/
public void setLocale(String locale) {
this.locale = locale;
}
/**
*
* Specifies the target locale for the bot. Any intent used in the bot must be compatible with the locale of the * bot. *
*
* The default is en-US.
*
* The default is en-US.
* @see Locale
*/
public String getLocale() {
return this.locale;
}
/**
*
* Specifies the target locale for the bot. Any intent used in the bot must be compatible with the locale of the * bot. *
*
* The default is en-US.
*
* The default is en-US.
* @return Returns a reference to this object so that method calls can be chained together.
* @see Locale
*/
public PutBotRequest withLocale(String locale) {
setLocale(locale);
return this;
}
/**
*
* Specifies the target locale for the bot. Any intent used in the bot must be compatible with the locale of the * bot. *
*
* The default is en-US.
*
* The default is en-US.
* @see Locale
*/
public void setLocale(Locale locale) {
withLocale(locale);
}
/**
*
* Specifies the target locale for the bot. Any intent used in the bot must be compatible with the locale of the * bot. *
*
* The default is en-US.
*
* The default is en-US.
* @return Returns a reference to this object so that method calls can be chained together.
* @see Locale
*/
public PutBotRequest withLocale(Locale locale) {
this.locale = locale.toString();
return this;
}
/**
*
* For each Amazon Lex bot created with the Amazon Lex Model Building Service, you must specify whether your use of
* Amazon Lex is related to a website, program, or other application that is directed or targeted, in whole or in
* part, to children under age 13 and subject to the Children's Online Privacy Protection Act (COPPA) by specifying
* true or false in the childDirected field. By specifying true
* in the childDirected field, you confirm that your use of Amazon Lex is related to a website,
* program, or other application that is directed or targeted, in whole or in part, to children under age 13 and
* subject to COPPA. By specifying false in the childDirected field, you confirm that your
* use of Amazon Lex is not related to a website, program, or other application that is directed or targeted,
* in whole or in part, to children under age 13 and subject to COPPA. You may not specify a default value for the
* childDirected field that does not accurately reflect whether your use of Amazon Lex is related to a
* website, program, or other application that is directed or targeted, in whole or in part, to children under age
* 13 and subject to COPPA.
*
* If your use of Amazon Lex relates to a website, program, or other application that is directed in whole or in * part, to children under age 13, you must obtain any required verifiable parental consent under COPPA. For * information regarding the use of Amazon Lex in connection with websites, programs, or other applications that are * directed or targeted, in whole or in part, to children under age 13, see the Amazon Lex FAQ. *
* * @param childDirected * For each Amazon Lex bot created with the Amazon Lex Model Building Service, you must specify whether your * use of Amazon Lex is related to a website, program, or other application that is directed or targeted, in * whole or in part, to children under age 13 and subject to the Children's Online Privacy Protection Act * (COPPA) by specifyingtrue or false in the childDirected field. By
* specifying true in the childDirected field, you confirm that your use of Amazon
* Lex is related to a website, program, or other application that is directed or targeted, in whole
* or in part, to children under age 13 and subject to COPPA. By specifying false in the
* childDirected field, you confirm that your use of Amazon Lex is not related to a
* website, program, or other application that is directed or targeted, in whole or in part, to children
* under age 13 and subject to COPPA. You may not specify a default value for the childDirected
* field that does not accurately reflect whether your use of Amazon Lex is related to a website, program, or
* other application that is directed or targeted, in whole or in part, to children under age 13 and subject
* to COPPA.
* * If your use of Amazon Lex relates to a website, program, or other application that is directed in whole or * in part, to children under age 13, you must obtain any required verifiable parental consent under COPPA. * For information regarding the use of Amazon Lex in connection with websites, programs, or other * applications that are directed or targeted, in whole or in part, to children under age 13, see the Amazon Lex FAQ. */ public void setChildDirected(Boolean childDirected) { this.childDirected = childDirected; } /** *
* For each Amazon Lex bot created with the Amazon Lex Model Building Service, you must specify whether your use of
* Amazon Lex is related to a website, program, or other application that is directed or targeted, in whole or in
* part, to children under age 13 and subject to the Children's Online Privacy Protection Act (COPPA) by specifying
* true or false in the childDirected field. By specifying true
* in the childDirected field, you confirm that your use of Amazon Lex is related to a website,
* program, or other application that is directed or targeted, in whole or in part, to children under age 13 and
* subject to COPPA. By specifying false in the childDirected field, you confirm that your
* use of Amazon Lex is not related to a website, program, or other application that is directed or targeted,
* in whole or in part, to children under age 13 and subject to COPPA. You may not specify a default value for the
* childDirected field that does not accurately reflect whether your use of Amazon Lex is related to a
* website, program, or other application that is directed or targeted, in whole or in part, to children under age
* 13 and subject to COPPA.
*
* If your use of Amazon Lex relates to a website, program, or other application that is directed in whole or in * part, to children under age 13, you must obtain any required verifiable parental consent under COPPA. For * information regarding the use of Amazon Lex in connection with websites, programs, or other applications that are * directed or targeted, in whole or in part, to children under age 13, see the Amazon Lex FAQ. *
* * @return For each Amazon Lex bot created with the Amazon Lex Model Building Service, you must specify whether your * use of Amazon Lex is related to a website, program, or other application that is directed or targeted, in * whole or in part, to children under age 13 and subject to the Children's Online Privacy Protection Act * (COPPA) by specifyingtrue or false in the childDirected field. By
* specifying true in the childDirected field, you confirm that your use of Amazon
* Lex is related to a website, program, or other application that is directed or targeted, in whole
* or in part, to children under age 13 and subject to COPPA. By specifying false in the
* childDirected field, you confirm that your use of Amazon Lex is not related to a
* website, program, or other application that is directed or targeted, in whole or in part, to children
* under age 13 and subject to COPPA. You may not specify a default value for the childDirected
* field that does not accurately reflect whether your use of Amazon Lex is related to a website, program,
* or other application that is directed or targeted, in whole or in part, to children under age 13 and
* subject to COPPA.
* * If your use of Amazon Lex relates to a website, program, or other application that is directed in whole * or in part, to children under age 13, you must obtain any required verifiable parental consent under * COPPA. For information regarding the use of Amazon Lex in connection with websites, programs, or other * applications that are directed or targeted, in whole or in part, to children under age 13, see the Amazon Lex FAQ. */ public Boolean getChildDirected() { return this.childDirected; } /** *
* For each Amazon Lex bot created with the Amazon Lex Model Building Service, you must specify whether your use of
* Amazon Lex is related to a website, program, or other application that is directed or targeted, in whole or in
* part, to children under age 13 and subject to the Children's Online Privacy Protection Act (COPPA) by specifying
* true or false in the childDirected field. By specifying true
* in the childDirected field, you confirm that your use of Amazon Lex is related to a website,
* program, or other application that is directed or targeted, in whole or in part, to children under age 13 and
* subject to COPPA. By specifying false in the childDirected field, you confirm that your
* use of Amazon Lex is not related to a website, program, or other application that is directed or targeted,
* in whole or in part, to children under age 13 and subject to COPPA. You may not specify a default value for the
* childDirected field that does not accurately reflect whether your use of Amazon Lex is related to a
* website, program, or other application that is directed or targeted, in whole or in part, to children under age
* 13 and subject to COPPA.
*
* If your use of Amazon Lex relates to a website, program, or other application that is directed in whole or in * part, to children under age 13, you must obtain any required verifiable parental consent under COPPA. For * information regarding the use of Amazon Lex in connection with websites, programs, or other applications that are * directed or targeted, in whole or in part, to children under age 13, see the Amazon Lex FAQ. *
* * @param childDirected * For each Amazon Lex bot created with the Amazon Lex Model Building Service, you must specify whether your * use of Amazon Lex is related to a website, program, or other application that is directed or targeted, in * whole or in part, to children under age 13 and subject to the Children's Online Privacy Protection Act * (COPPA) by specifyingtrue or false in the childDirected field. By
* specifying true in the childDirected field, you confirm that your use of Amazon
* Lex is related to a website, program, or other application that is directed or targeted, in whole
* or in part, to children under age 13 and subject to COPPA. By specifying false in the
* childDirected field, you confirm that your use of Amazon Lex is not related to a
* website, program, or other application that is directed or targeted, in whole or in part, to children
* under age 13 and subject to COPPA. You may not specify a default value for the childDirected
* field that does not accurately reflect whether your use of Amazon Lex is related to a website, program, or
* other application that is directed or targeted, in whole or in part, to children under age 13 and subject
* to COPPA.
* * If your use of Amazon Lex relates to a website, program, or other application that is directed in whole or * in part, to children under age 13, you must obtain any required verifiable parental consent under COPPA. * For information regarding the use of Amazon Lex in connection with websites, programs, or other * applications that are directed or targeted, in whole or in part, to children under age 13, see the Amazon Lex FAQ. * @return Returns a reference to this object so that method calls can be chained together. */ public PutBotRequest withChildDirected(Boolean childDirected) { setChildDirected(childDirected); return this; } /** *
* For each Amazon Lex bot created with the Amazon Lex Model Building Service, you must specify whether your use of
* Amazon Lex is related to a website, program, or other application that is directed or targeted, in whole or in
* part, to children under age 13 and subject to the Children's Online Privacy Protection Act (COPPA) by specifying
* true or false in the childDirected field. By specifying true
* in the childDirected field, you confirm that your use of Amazon Lex is related to a website,
* program, or other application that is directed or targeted, in whole or in part, to children under age 13 and
* subject to COPPA. By specifying false in the childDirected field, you confirm that your
* use of Amazon Lex is not related to a website, program, or other application that is directed or targeted,
* in whole or in part, to children under age 13 and subject to COPPA. You may not specify a default value for the
* childDirected field that does not accurately reflect whether your use of Amazon Lex is related to a
* website, program, or other application that is directed or targeted, in whole or in part, to children under age
* 13 and subject to COPPA.
*
* If your use of Amazon Lex relates to a website, program, or other application that is directed in whole or in * part, to children under age 13, you must obtain any required verifiable parental consent under COPPA. For * information regarding the use of Amazon Lex in connection with websites, programs, or other applications that are * directed or targeted, in whole or in part, to children under age 13, see the Amazon Lex FAQ. *
* * @return For each Amazon Lex bot created with the Amazon Lex Model Building Service, you must specify whether your * use of Amazon Lex is related to a website, program, or other application that is directed or targeted, in * whole or in part, to children under age 13 and subject to the Children's Online Privacy Protection Act * (COPPA) by specifyingtrue or false in the childDirected field. By
* specifying true in the childDirected field, you confirm that your use of Amazon
* Lex is related to a website, program, or other application that is directed or targeted, in whole
* or in part, to children under age 13 and subject to COPPA. By specifying false in the
* childDirected field, you confirm that your use of Amazon Lex is not related to a
* website, program, or other application that is directed or targeted, in whole or in part, to children
* under age 13 and subject to COPPA. You may not specify a default value for the childDirected
* field that does not accurately reflect whether your use of Amazon Lex is related to a website, program,
* or other application that is directed or targeted, in whole or in part, to children under age 13 and
* subject to COPPA.
* * If your use of Amazon Lex relates to a website, program, or other application that is directed in whole * or in part, to children under age 13, you must obtain any required verifiable parental consent under * COPPA. For information regarding the use of Amazon Lex in connection with websites, programs, or other * applications that are directed or targeted, in whole or in part, to children under age 13, see the Amazon Lex FAQ. */ public Boolean isChildDirected() { return this.childDirected; } /** *
* When set to true user utterances are sent to Amazon Comprehend for sentiment analysis. If you don't
* specify detectSentiment, the default is false.
*
true user utterances are sent to Amazon Comprehend for sentiment analysis. If you
* don't specify detectSentiment, the default is false.
*/
public void setDetectSentiment(Boolean detectSentiment) {
this.detectSentiment = detectSentiment;
}
/**
*
* When set to true user utterances are sent to Amazon Comprehend for sentiment analysis. If you don't
* specify detectSentiment, the default is false.
*
true user utterances are sent to Amazon Comprehend for sentiment analysis. If
* you don't specify detectSentiment, the default is false.
*/
public Boolean getDetectSentiment() {
return this.detectSentiment;
}
/**
*
* When set to true user utterances are sent to Amazon Comprehend for sentiment analysis. If you don't
* specify detectSentiment, the default is false.
*
true user utterances are sent to Amazon Comprehend for sentiment analysis. If you
* don't specify detectSentiment, the default is false.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public PutBotRequest withDetectSentiment(Boolean detectSentiment) {
setDetectSentiment(detectSentiment);
return this;
}
/**
*
* When set to true user utterances are sent to Amazon Comprehend for sentiment analysis. If you don't
* specify detectSentiment, the default is false.
*
true user utterances are sent to Amazon Comprehend for sentiment analysis. If
* you don't specify detectSentiment, the default is false.
*/
public Boolean isDetectSentiment() {
return this.detectSentiment;
}
/**
*
* When set to true a new numbered version of the bot is created. This is the same as calling the
* CreateBotVersion operation. If you don't specify createVersion, the default is
* false.
*
true a new numbered version of the bot is created. This is the same as calling
* the CreateBotVersion operation. If you don't specify createVersion, the default
* is false.
*/
public void setCreateVersion(Boolean createVersion) {
this.createVersion = createVersion;
}
/**
*
* When set to true a new numbered version of the bot is created. This is the same as calling the
* CreateBotVersion operation. If you don't specify createVersion, the default is
* false.
*
true a new numbered version of the bot is created. This is the same as calling
* the CreateBotVersion operation. If you don't specify createVersion, the default
* is false.
*/
public Boolean getCreateVersion() {
return this.createVersion;
}
/**
*
* When set to true a new numbered version of the bot is created. This is the same as calling the
* CreateBotVersion operation. If you don't specify createVersion, the default is
* false.
*
true a new numbered version of the bot is created. This is the same as calling
* the CreateBotVersion operation. If you don't specify createVersion, the default
* is false.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public PutBotRequest withCreateVersion(Boolean createVersion) {
setCreateVersion(createVersion);
return this;
}
/**
*
* When set to true a new numbered version of the bot is created. This is the same as calling the
* CreateBotVersion operation. If you don't specify createVersion, the default is
* false.
*
true a new numbered version of the bot is created. This is the same as calling
* the CreateBotVersion operation. If you don't specify createVersion, the default
* is false.
*/
public Boolean isCreateVersion() {
return this.createVersion;
}
/**
*
* A list of tags to add to the bot. You can only add tags when you create a bot, you can't use the
* PutBot operation to update the tags on a bot. To update tags, use the TagResource
* operation.
*
PutBot operation to update the tags on a bot. To update tags, use the
* TagResource operation.
*/
public java.util.List
* A list of tags to add to the bot. You can only add tags when you create a bot, you can't use the
* PutBot operation to update the tags on a bot. To update tags, use the TagResource
* operation.
*
PutBot operation to update the tags on a bot. To update tags, use the
* TagResource operation.
*/
public void setTags(java.util.Collection
* A list of tags to add to the bot. You can only add tags when you create a bot, you can't use the
* PutBot operation to update the tags on a bot. To update tags, use the TagResource
* operation.
*
* NOTE: This method appends the values to the existing list (if any). Use * {@link #setTags(java.util.Collection)} or {@link #withTags(java.util.Collection)} if you want to override the * existing values. *
* * @param tags * A list of tags to add to the bot. You can only add tags when you create a bot, you can't use the *PutBot operation to update the tags on a bot. To update tags, use the
* TagResource operation.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public PutBotRequest withTags(Tag... tags) {
if (this.tags == null) {
setTags(new java.util.ArrayList
* A list of tags to add to the bot. You can only add tags when you create a bot, you can't use the
* PutBot operation to update the tags on a bot. To update tags, use the TagResource
* operation.
*
PutBot operation to update the tags on a bot. To update tags, use the
* TagResource operation.
* @return Returns a reference to this object so that method calls can be chained together.
*/
public PutBotRequest withTags(java.util.Collection