public static interface PutBotRequest.Builder extends LexModelBuildingRequest.Builder, SdkPojo, CopyableBuilder<PutBotRequest.Builder,PutBotRequest>
| Modifier and Type | Method and Description |
|---|---|
default PutBotRequest.Builder |
abortStatement(Consumer<Statement.Builder> abortStatement)
When Amazon Lex can't understand the user's input in context, it tries to elicit the information a few times.
|
PutBotRequest.Builder |
abortStatement(Statement abortStatement)
When Amazon Lex can't understand the user's input in context, it tries to elicit the information a few times.
|
PutBotRequest.Builder |
checksum(String checksum)
Identifies a specific revision of the
$LATEST version. |
PutBotRequest.Builder |
childDirected(Boolean 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. |
default PutBotRequest.Builder |
clarificationPrompt(Consumer<Prompt.Builder> clarificationPrompt)
When Amazon Lex doesn't understand the user's intent, it uses this message to get clarification.
|
PutBotRequest.Builder |
clarificationPrompt(Prompt clarificationPrompt)
When Amazon Lex doesn't understand the user's intent, it uses this message to get clarification.
|
PutBotRequest.Builder |
createVersion(Boolean createVersion)
When set to
true a new numbered version of the bot is created. |
PutBotRequest.Builder |
description(String description)
A description of the bot.
|
PutBotRequest.Builder |
detectSentiment(Boolean detectSentiment)
When set to
true user utterances are sent to Amazon Comprehend for sentiment analysis. |
PutBotRequest.Builder |
enableModelImprovements(Boolean enableModelImprovements)
Set to
true to enable access to natural language understanding improvements. |
PutBotRequest.Builder |
idleSessionTTLInSeconds(Integer idleSessionTTLInSeconds)
The maximum time in seconds that Amazon Lex retains the data gathered in a conversation.
|
PutBotRequest.Builder |
intents(Collection<Intent> intents)
An array of
Intent objects. |
PutBotRequest.Builder |
intents(Consumer<Intent.Builder>... intents)
An array of
Intent objects. |
PutBotRequest.Builder |
intents(Intent... intents)
An array of
Intent objects. |
PutBotRequest.Builder |
locale(Locale locale)
Specifies the target locale for the bot.
|
PutBotRequest.Builder |
locale(String locale)
Specifies the target locale for the bot.
|
PutBotRequest.Builder |
name(String name)
The name of the bot.
|
PutBotRequest.Builder |
nluIntentConfidenceThreshold(Double nluIntentConfidenceThreshold)
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. |
PutBotRequest.Builder |
overrideConfiguration(AwsRequestOverrideConfiguration overrideConfiguration) |
PutBotRequest.Builder |
overrideConfiguration(Consumer<AwsRequestOverrideConfiguration.Builder> builderConsumer) |
PutBotRequest.Builder |
processBehavior(ProcessBehavior processBehavior)
If you set the
processBehavior element to BUILD, Amazon Lex builds the bot so that
it can be run. |
PutBotRequest.Builder |
processBehavior(String processBehavior)
If you set the
processBehavior element to BUILD, Amazon Lex builds the bot so that
it can be run. |
PutBotRequest.Builder |
tags(Collection<Tag> tags)
A list of tags to add to the bot.
|
PutBotRequest.Builder |
tags(Consumer<Tag.Builder>... tags)
A list of tags to add to the bot.
|
PutBotRequest.Builder |
tags(Tag... tags)
A list of tags to add to the bot.
|
PutBotRequest.Builder |
voiceId(String voiceId)
The Amazon Polly voice ID that you want Amazon Lex to use for voice interactions with the user.
|
buildoverrideConfigurationequalsBySdkFields, sdkFieldscopyapplyMutation, buildPutBotRequest.Builder name(String name)
The name of the bot. The name is not case sensitive.
name - The name of the bot. The name is not case sensitive.PutBotRequest.Builder description(String description)
A description of the bot.
description - A description of the bot.PutBotRequest.Builder intents(Collection<Intent> intents)
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.
intents - 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.PutBotRequest.Builder intents(Intent... intents)
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.
intents - 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.PutBotRequest.Builder intents(Consumer<Intent.Builder>... intents)
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.Builder avoiding the need to create one
manually via Intent.builder().
When the Consumer completes,
SdkBuilder.build() is called immediately
and its result is passed to #intents(List.
intents - a consumer that will call methods on
Intent.Builder#intents(java.util.Collection) PutBotRequest.Builder enableModelImprovements(Boolean 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.
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.
PutBotRequest.Builder nluIntentConfidenceThreshold(Double nluIntentConfidenceThreshold)
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
nluIntentConfidenceThreshold - 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
PutBotRequest.Builder clarificationPrompt(Prompt clarificationPrompt)
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.
clarificationPrompt - 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.
default PutBotRequest.Builder clarificationPrompt(Consumer<Prompt.Builder> clarificationPrompt)
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.
Prompt.Builder avoiding the need to
create one manually via Prompt.builder().
When the Consumer completes, SdkBuilder.build() is called immediately and its result is
passed to clarificationPrompt(Prompt).
clarificationPrompt - a consumer that will call methods on Prompt.BuilderclarificationPrompt(Prompt)PutBotRequest.Builder abortStatement(Statement 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.
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.
default PutBotRequest.Builder abortStatement(Consumer<Statement.Builder> 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.
This is a convenience method that creates an instance of theStatement.Builder avoiding the need to
create one manually via Statement.builder().
When the Consumer completes, SdkBuilder.build() is called immediately and its result
is passed to abortStatement(Statement).
abortStatement - a consumer that will call methods on Statement.BuilderabortStatement(Statement)PutBotRequest.Builder idleSessionTTLInSeconds(Integer 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).
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).
PutBotRequest.Builder voiceId(String 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.
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.PutBotRequest.Builder checksum(String 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.
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.
PutBotRequest.Builder processBehavior(String 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 - 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,
ProcessBehaviorPutBotRequest.Builder processBehavior(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 - 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,
ProcessBehaviorPutBotRequest.Builder locale(String 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.
PutBotRequest.Builder locale(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.
PutBotRequest.Builder childDirected(Boolean 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.
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.
PutBotRequest.Builder detectSentiment(Boolean 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.
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.PutBotRequest.Builder createVersion(Boolean 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.
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.PutBotRequest.Builder tags(Collection<Tag> 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.
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.PutBotRequest.Builder tags(Tag... 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.
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.PutBotRequest.Builder tags(Consumer<Tag.Builder>... 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.
Tag.Builder avoiding the need to create one
manually via Tag.builder().
When the Consumer completes,
SdkBuilder.build() is called immediately and
its result is passed to #tags(List.
tags - a consumer that will call methods on
Tag.Builder#tags(java.util.Collection) PutBotRequest.Builder overrideConfiguration(AwsRequestOverrideConfiguration overrideConfiguration)
overrideConfiguration in interface AwsRequest.BuilderPutBotRequest.Builder overrideConfiguration(Consumer<AwsRequestOverrideConfiguration.Builder> builderConsumer)
overrideConfiguration in interface AwsRequest.BuilderCopyright © 2023. All rights reserved.