@Generated(value="software.amazon.awssdk:codegen") public interface LexRuntimeClient extends SdkClient
builder()
method.
Amazon Lex provides both build and runtime endpoints. Each endpoint provides a set of operations (API). Your conversational bot uses the runtime API to understand user utterances (user input text or voice). For example, suppose a user says "I want pizza", your bot sends this input to Amazon Lex using the runtime API. Amazon Lex recognizes that the user request is for the OrderPizza intent (one of the intents defined in the bot). Then Amazon Lex engages in user conversation on behalf of the bot to elicit required information (slot values, such as pizza size and crust type), and then performs fulfillment activity (that you configured when you created the bot). You use the build-time API to create and manage your Amazon Lex bot. For a list of build-time operations, see the build-time API, .
Modifier and Type | Field and Description |
---|---|
static String |
SERVICE_NAME |
Modifier and Type | Method and Description |
---|---|
static LexRuntimeClientBuilder |
builder()
Create a builder that can be used to configure and create a
LexRuntimeClient . |
static LexRuntimeClient |
create()
Create a
LexRuntimeClient with the region loaded from the
DefaultAwsRegionProviderChain and credentials loaded from the
DefaultCredentialsProvider . |
default PostContentResponse |
postContent(Consumer<PostContentRequest.Builder> postContentRequest,
Path sourcePath,
Path destinationPath)
Sends user input (text or speech) to Amazon Lex.
|
default <ReturnT> ReturnT |
postContent(Consumer<PostContentRequest.Builder> postContentRequest,
RequestBody requestBody,
ResponseTransformer<PostContentResponse,ReturnT> responseTransformer)
Sends user input (text or speech) to Amazon Lex.
|
default PostContentResponse |
postContent(PostContentRequest postContentRequest,
Path sourcePath,
Path destinationPath)
Sends user input (text or speech) to Amazon Lex.
|
default <ReturnT> ReturnT |
postContent(PostContentRequest postContentRequest,
RequestBody requestBody,
ResponseTransformer<PostContentResponse,ReturnT> responseTransformer)
Sends user input (text or speech) to Amazon Lex.
|
default PostTextResponse |
postText(Consumer<PostTextRequest.Builder> postTextRequest)
Sends user input (text-only) to Amazon Lex.
|
default PostTextResponse |
postText(PostTextRequest postTextRequest)
Sends user input (text-only) to Amazon Lex.
|
static ServiceMetadata |
serviceMetadata() |
serviceName
close
static final String SERVICE_NAME
static LexRuntimeClient create()
LexRuntimeClient
with the region loaded from the
DefaultAwsRegionProviderChain
and credentials loaded from the
DefaultCredentialsProvider
.static LexRuntimeClientBuilder builder()
LexRuntimeClient
.default <ReturnT> ReturnT postContent(PostContentRequest postContentRequest, RequestBody requestBody, ResponseTransformer<PostContentResponse,ReturnT> responseTransformer) throws NotFoundException, BadRequestException, LimitExceededException, InternalFailureException, ConflictException, UnsupportedMediaTypeException, NotAcceptableException, RequestTimeoutException, DependencyFailedException, BadGatewayException, LoopDetectedException, AwsServiceException, SdkClientException, LexRuntimeException
Sends user input (text or speech) to Amazon Lex. Clients use this API to send text and audio requests to Amazon Lex at runtime. Amazon Lex interprets the user input using the machine learning model that it built for the bot.
The PostContent
operation supports audio input at 8kHz and 16kHz. You can use 8kHz audio to achieve
higher speech recognition accuracy in telephone audio applications.
In response, Amazon Lex returns the next message to convey to the user. Consider the following example messages:
For a user input "I would like a pizza," Amazon Lex might return a response with a message eliciting slot data
(for example, PizzaSize
): "What size pizza would you like?".
After the user provides all of the pizza order information, Amazon Lex might return a response with a message to get user confirmation: "Order the pizza?".
After the user replies "Yes" to the confirmation prompt, Amazon Lex might return a conclusion statement: "Thank you, your cheese pizza has been ordered.".
Not all Amazon Lex messages require a response from the user. For example, conclusion statements do not require a
response. Some messages require only a yes or no response. In addition to the message
, Amazon Lex
provides additional context about the message in the response that you can use to enhance client behavior, such
as displaying the appropriate client user interface. Consider the following examples:
If the message is to elicit slot data, Amazon Lex returns the following context information:
x-amz-lex-dialog-state
header set to ElicitSlot
x-amz-lex-intent-name
header set to the intent name in the current context
x-amz-lex-slot-to-elicit
header set to the slot name for which the message
is eliciting
information
x-amz-lex-slots
header set to a map of slots configured for the intent with their current values
If the message is a confirmation prompt, the x-amz-lex-dialog-state
header is set to
Confirmation
and the x-amz-lex-slot-to-elicit
header is omitted.
If the message is a clarification prompt configured for the intent, indicating that the user intent is not
understood, the x-amz-dialog-state
header is set to ElicitIntent
and the
x-amz-slot-to-elicit
header is omitted.
In addition, Amazon Lex also returns your application-specific sessionAttributes
. For more
information, see Managing Conversation
Context.
postContentRequest
- requestBody
- The content to send to the service. A RequestBody
can be created using one of several factory
methods for various sources of data. For example, to create a request body from a file you can do the
following.
RequestBody.fromFile(new File("myfile.txt"))
See documentation in RequestBody
for additional details and which sources of data are supported.
The service documentation for the request content is as follows '
User input in PCM or Opus audio format or text format as described in the Content-Type
HTTP
header.
You can stream audio data to Amazon Lex or you can create a local buffer that captures all of the audio data before sending. In general, you get better performance if you stream audio data rather than buffering the data locally.
'responseTransformer
- Functional interface for processing the streamed response content. The unmarshalled PostContentResponse
and an InputStream to the response content are provided as parameters to the callback. The callback may
return a transformed type which will be the return value of this method. See
ResponseTransformer
for details on implementing this interface
and for links to pre-canned implementations for common scenarios like downloading to a file. The service
documentation for the response content is as follows '
The prompt (or statement) to convey to the user. This is based on the bot configuration and context. For
example, if Amazon Lex did not understand the user intent, it sends the clarificationPrompt
configured for the bot. If the intent requires confirmation before taking the fulfillment action, it sends
the confirmationPrompt
. Another example: Suppose that the Lambda function successfully
fulfilled the intent, and sent a message to convey to the user. Then Amazon Lex sends that message in the
response.
NotFoundException
- The resource (such as the Amazon Lex bot or an alias) that is referred to is not found.BadRequestException
- Request validation failed, there is no usable message in the context, or the bot build failed, is still
in progress, or contains unbuilt changes.LimitExceededException
- Exceeded a limit.InternalFailureException
- Internal service error. Retry the call.ConflictException
- Two clients are using the same AWS account, Amazon Lex bot, and user ID.UnsupportedMediaTypeException
- The Content-Type header (PostContent
API) has an invalid value.NotAcceptableException
- The accept header in the request does not have a valid value.RequestTimeoutException
- The input speech is too long.DependencyFailedException
- One of the dependencies, such as AWS Lambda or Amazon Polly, threw an exception. For example,
If Amazon Lex does not have sufficient permissions to call a Lambda function.
If a Lambda function takes longer than 30 seconds to execute.
If a fulfillment Lambda function returns a Delegate
dialog action without removing any slot
values.
BadGatewayException
- Either the Amazon Lex bot is still building, or one of the dependent services (Amazon Polly, AWS Lambda)
failed with an internal service error.LoopDetectedException
- This exception is not used.SdkException
- Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for
catch all scenarios.SdkClientException
- If any client side error occurs such as an IO related failure, failure to get credentials, etc.LexRuntimeException
- Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.AwsServiceException
default <ReturnT> ReturnT postContent(Consumer<PostContentRequest.Builder> postContentRequest, RequestBody requestBody, ResponseTransformer<PostContentResponse,ReturnT> responseTransformer) throws NotFoundException, BadRequestException, LimitExceededException, InternalFailureException, ConflictException, UnsupportedMediaTypeException, NotAcceptableException, RequestTimeoutException, DependencyFailedException, BadGatewayException, LoopDetectedException, AwsServiceException, SdkClientException, LexRuntimeException
Sends user input (text or speech) to Amazon Lex. Clients use this API to send text and audio requests to Amazon Lex at runtime. Amazon Lex interprets the user input using the machine learning model that it built for the bot.
The PostContent
operation supports audio input at 8kHz and 16kHz. You can use 8kHz audio to achieve
higher speech recognition accuracy in telephone audio applications.
In response, Amazon Lex returns the next message to convey to the user. Consider the following example messages:
For a user input "I would like a pizza," Amazon Lex might return a response with a message eliciting slot data
(for example, PizzaSize
): "What size pizza would you like?".
After the user provides all of the pizza order information, Amazon Lex might return a response with a message to get user confirmation: "Order the pizza?".
After the user replies "Yes" to the confirmation prompt, Amazon Lex might return a conclusion statement: "Thank you, your cheese pizza has been ordered.".
Not all Amazon Lex messages require a response from the user. For example, conclusion statements do not require a
response. Some messages require only a yes or no response. In addition to the message
, Amazon Lex
provides additional context about the message in the response that you can use to enhance client behavior, such
as displaying the appropriate client user interface. Consider the following examples:
If the message is to elicit slot data, Amazon Lex returns the following context information:
x-amz-lex-dialog-state
header set to ElicitSlot
x-amz-lex-intent-name
header set to the intent name in the current context
x-amz-lex-slot-to-elicit
header set to the slot name for which the message
is eliciting
information
x-amz-lex-slots
header set to a map of slots configured for the intent with their current values
If the message is a confirmation prompt, the x-amz-lex-dialog-state
header is set to
Confirmation
and the x-amz-lex-slot-to-elicit
header is omitted.
If the message is a clarification prompt configured for the intent, indicating that the user intent is not
understood, the x-amz-dialog-state
header is set to ElicitIntent
and the
x-amz-slot-to-elicit
header is omitted.
In addition, Amazon Lex also returns your application-specific sessionAttributes
. For more
information, see Managing Conversation
Context.
This is a convenience which creates an instance of the PostContentRequest.Builder
avoiding the need to
create one manually via PostContentRequest.builder()
postContentRequest
- A Consumer
that will call methods on PostContentRequest.Builder
to create a request.requestBody
- The content to send to the service. A RequestBody
can be created using one of several factory
methods for various sources of data. For example, to create a request body from a file you can do the
following.
RequestBody.fromFile(new File("myfile.txt"))
See documentation in RequestBody
for additional details and which sources of data are supported.
The service documentation for the request content is as follows '
User input in PCM or Opus audio format or text format as described in the Content-Type
HTTP
header.
You can stream audio data to Amazon Lex or you can create a local buffer that captures all of the audio data before sending. In general, you get better performance if you stream audio data rather than buffering the data locally.
'responseTransformer
- Functional interface for processing the streamed response content. The unmarshalled PostContentResponse
and an InputStream to the response content are provided as parameters to the callback. The callback may
return a transformed type which will be the return value of this method. See
ResponseTransformer
for details on implementing this interface
and for links to pre-canned implementations for common scenarios like downloading to a file. The service
documentation for the response content is as follows '
The prompt (or statement) to convey to the user. This is based on the bot configuration and context. For
example, if Amazon Lex did not understand the user intent, it sends the clarificationPrompt
configured for the bot. If the intent requires confirmation before taking the fulfillment action, it sends
the confirmationPrompt
. Another example: Suppose that the Lambda function successfully
fulfilled the intent, and sent a message to convey to the user. Then Amazon Lex sends that message in the
response.
NotFoundException
- The resource (such as the Amazon Lex bot or an alias) that is referred to is not found.BadRequestException
- Request validation failed, there is no usable message in the context, or the bot build failed, is still
in progress, or contains unbuilt changes.LimitExceededException
- Exceeded a limit.InternalFailureException
- Internal service error. Retry the call.ConflictException
- Two clients are using the same AWS account, Amazon Lex bot, and user ID.UnsupportedMediaTypeException
- The Content-Type header (PostContent
API) has an invalid value.NotAcceptableException
- The accept header in the request does not have a valid value.RequestTimeoutException
- The input speech is too long.DependencyFailedException
- One of the dependencies, such as AWS Lambda or Amazon Polly, threw an exception. For example,
If Amazon Lex does not have sufficient permissions to call a Lambda function.
If a Lambda function takes longer than 30 seconds to execute.
If a fulfillment Lambda function returns a Delegate
dialog action without removing any slot
values.
BadGatewayException
- Either the Amazon Lex bot is still building, or one of the dependent services (Amazon Polly, AWS Lambda)
failed with an internal service error.LoopDetectedException
- This exception is not used.SdkException
- Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for
catch all scenarios.SdkClientException
- If any client side error occurs such as an IO related failure, failure to get credentials, etc.LexRuntimeException
- Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.AwsServiceException
default PostContentResponse postContent(PostContentRequest postContentRequest, Path sourcePath, Path destinationPath) throws NotFoundException, BadRequestException, LimitExceededException, InternalFailureException, ConflictException, UnsupportedMediaTypeException, NotAcceptableException, RequestTimeoutException, DependencyFailedException, BadGatewayException, LoopDetectedException, AwsServiceException, SdkClientException, LexRuntimeException
Sends user input (text or speech) to Amazon Lex. Clients use this API to send text and audio requests to Amazon Lex at runtime. Amazon Lex interprets the user input using the machine learning model that it built for the bot.
The PostContent
operation supports audio input at 8kHz and 16kHz. You can use 8kHz audio to achieve
higher speech recognition accuracy in telephone audio applications.
In response, Amazon Lex returns the next message to convey to the user. Consider the following example messages:
For a user input "I would like a pizza," Amazon Lex might return a response with a message eliciting slot data
(for example, PizzaSize
): "What size pizza would you like?".
After the user provides all of the pizza order information, Amazon Lex might return a response with a message to get user confirmation: "Order the pizza?".
After the user replies "Yes" to the confirmation prompt, Amazon Lex might return a conclusion statement: "Thank you, your cheese pizza has been ordered.".
Not all Amazon Lex messages require a response from the user. For example, conclusion statements do not require a
response. Some messages require only a yes or no response. In addition to the message
, Amazon Lex
provides additional context about the message in the response that you can use to enhance client behavior, such
as displaying the appropriate client user interface. Consider the following examples:
If the message is to elicit slot data, Amazon Lex returns the following context information:
x-amz-lex-dialog-state
header set to ElicitSlot
x-amz-lex-intent-name
header set to the intent name in the current context
x-amz-lex-slot-to-elicit
header set to the slot name for which the message
is eliciting
information
x-amz-lex-slots
header set to a map of slots configured for the intent with their current values
If the message is a confirmation prompt, the x-amz-lex-dialog-state
header is set to
Confirmation
and the x-amz-lex-slot-to-elicit
header is omitted.
If the message is a clarification prompt configured for the intent, indicating that the user intent is not
understood, the x-amz-dialog-state
header is set to ElicitIntent
and the
x-amz-slot-to-elicit
header is omitted.
In addition, Amazon Lex also returns your application-specific sessionAttributes
. For more
information, see Managing Conversation
Context.
postContentRequest
- sourcePath
- Path
to file containing data to send to the service. File will be read entirely and may be read
multiple times in the event of a retry. If the file does not exist or the current user does not have
access to read it then an exception will be thrown. The service documentation for the request content is
as follows '
User input in PCM or Opus audio format or text format as described in the Content-Type
HTTP
header.
You can stream audio data to Amazon Lex or you can create a local buffer that captures all of the audio data before sending. In general, you get better performance if you stream audio data rather than buffering the data locally.
'destinationPath
- Path
to file that response contents will be written to. The file must not exist or this method
will throw an exception. If the file is not writable by the current user then an exception will be thrown.
The service documentation for the response content is as follows '
The prompt (or statement) to convey to the user. This is based on the bot configuration and context. For
example, if Amazon Lex did not understand the user intent, it sends the clarificationPrompt
configured for the bot. If the intent requires confirmation before taking the fulfillment action, it sends
the confirmationPrompt
. Another example: Suppose that the Lambda function successfully
fulfilled the intent, and sent a message to convey to the user. Then Amazon Lex sends that message in the
response.
NotFoundException
- The resource (such as the Amazon Lex bot or an alias) that is referred to is not found.BadRequestException
- Request validation failed, there is no usable message in the context, or the bot build failed, is still
in progress, or contains unbuilt changes.LimitExceededException
- Exceeded a limit.InternalFailureException
- Internal service error. Retry the call.ConflictException
- Two clients are using the same AWS account, Amazon Lex bot, and user ID.UnsupportedMediaTypeException
- The Content-Type header (PostContent
API) has an invalid value.NotAcceptableException
- The accept header in the request does not have a valid value.RequestTimeoutException
- The input speech is too long.DependencyFailedException
- One of the dependencies, such as AWS Lambda or Amazon Polly, threw an exception. For example,
If Amazon Lex does not have sufficient permissions to call a Lambda function.
If a Lambda function takes longer than 30 seconds to execute.
If a fulfillment Lambda function returns a Delegate
dialog action without removing any slot
values.
BadGatewayException
- Either the Amazon Lex bot is still building, or one of the dependent services (Amazon Polly, AWS Lambda)
failed with an internal service error.LoopDetectedException
- This exception is not used.SdkException
- Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for
catch all scenarios.SdkClientException
- If any client side error occurs such as an IO related failure, failure to get credentials, etc.LexRuntimeException
- Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.AwsServiceException
#postContent(PostContentRequest, RequestBody)
,
#postContent(PostContentRequest, ResponseTransformer)
,
AWS API
Documentationdefault PostContentResponse postContent(Consumer<PostContentRequest.Builder> postContentRequest, Path sourcePath, Path destinationPath) throws NotFoundException, BadRequestException, LimitExceededException, InternalFailureException, ConflictException, UnsupportedMediaTypeException, NotAcceptableException, RequestTimeoutException, DependencyFailedException, BadGatewayException, LoopDetectedException, AwsServiceException, SdkClientException, LexRuntimeException
Sends user input (text or speech) to Amazon Lex. Clients use this API to send text and audio requests to Amazon Lex at runtime. Amazon Lex interprets the user input using the machine learning model that it built for the bot.
The PostContent
operation supports audio input at 8kHz and 16kHz. You can use 8kHz audio to achieve
higher speech recognition accuracy in telephone audio applications.
In response, Amazon Lex returns the next message to convey to the user. Consider the following example messages:
For a user input "I would like a pizza," Amazon Lex might return a response with a message eliciting slot data
(for example, PizzaSize
): "What size pizza would you like?".
After the user provides all of the pizza order information, Amazon Lex might return a response with a message to get user confirmation: "Order the pizza?".
After the user replies "Yes" to the confirmation prompt, Amazon Lex might return a conclusion statement: "Thank you, your cheese pizza has been ordered.".
Not all Amazon Lex messages require a response from the user. For example, conclusion statements do not require a
response. Some messages require only a yes or no response. In addition to the message
, Amazon Lex
provides additional context about the message in the response that you can use to enhance client behavior, such
as displaying the appropriate client user interface. Consider the following examples:
If the message is to elicit slot data, Amazon Lex returns the following context information:
x-amz-lex-dialog-state
header set to ElicitSlot
x-amz-lex-intent-name
header set to the intent name in the current context
x-amz-lex-slot-to-elicit
header set to the slot name for which the message
is eliciting
information
x-amz-lex-slots
header set to a map of slots configured for the intent with their current values
If the message is a confirmation prompt, the x-amz-lex-dialog-state
header is set to
Confirmation
and the x-amz-lex-slot-to-elicit
header is omitted.
If the message is a clarification prompt configured for the intent, indicating that the user intent is not
understood, the x-amz-dialog-state
header is set to ElicitIntent
and the
x-amz-slot-to-elicit
header is omitted.
In addition, Amazon Lex also returns your application-specific sessionAttributes
. For more
information, see Managing Conversation
Context.
This is a convenience which creates an instance of the PostContentRequest.Builder
avoiding the need to
create one manually via PostContentRequest.builder()
postContentRequest
- A Consumer
that will call methods on PostContentRequest.Builder
to create a request.sourcePath
- Path
to file containing data to send to the service. File will be read entirely and may be read
multiple times in the event of a retry. If the file does not exist or the current user does not have
access to read it then an exception will be thrown. The service documentation for the request content is
as follows '
User input in PCM or Opus audio format or text format as described in the Content-Type
HTTP
header.
You can stream audio data to Amazon Lex or you can create a local buffer that captures all of the audio data before sending. In general, you get better performance if you stream audio data rather than buffering the data locally.
'destinationPath
- Path
to file that response contents will be written to. The file must not exist or this method
will throw an exception. If the file is not writable by the current user then an exception will be thrown.
The service documentation for the response content is as follows '
The prompt (or statement) to convey to the user. This is based on the bot configuration and context. For
example, if Amazon Lex did not understand the user intent, it sends the clarificationPrompt
configured for the bot. If the intent requires confirmation before taking the fulfillment action, it sends
the confirmationPrompt
. Another example: Suppose that the Lambda function successfully
fulfilled the intent, and sent a message to convey to the user. Then Amazon Lex sends that message in the
response.
NotFoundException
- The resource (such as the Amazon Lex bot or an alias) that is referred to is not found.BadRequestException
- Request validation failed, there is no usable message in the context, or the bot build failed, is still
in progress, or contains unbuilt changes.LimitExceededException
- Exceeded a limit.InternalFailureException
- Internal service error. Retry the call.ConflictException
- Two clients are using the same AWS account, Amazon Lex bot, and user ID.UnsupportedMediaTypeException
- The Content-Type header (PostContent
API) has an invalid value.NotAcceptableException
- The accept header in the request does not have a valid value.RequestTimeoutException
- The input speech is too long.DependencyFailedException
- One of the dependencies, such as AWS Lambda or Amazon Polly, threw an exception. For example,
If Amazon Lex does not have sufficient permissions to call a Lambda function.
If a Lambda function takes longer than 30 seconds to execute.
If a fulfillment Lambda function returns a Delegate
dialog action without removing any slot
values.
BadGatewayException
- Either the Amazon Lex bot is still building, or one of the dependent services (Amazon Polly, AWS Lambda)
failed with an internal service error.LoopDetectedException
- This exception is not used.SdkException
- Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for
catch all scenarios.SdkClientException
- If any client side error occurs such as an IO related failure, failure to get credentials, etc.LexRuntimeException
- Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.AwsServiceException
#postContent(PostContentRequest, RequestBody)
,
#postContent(PostContentRequest, ResponseTransformer)
,
AWS API
Documentationdefault PostTextResponse postText(PostTextRequest postTextRequest) throws NotFoundException, BadRequestException, LimitExceededException, InternalFailureException, ConflictException, DependencyFailedException, BadGatewayException, LoopDetectedException, AwsServiceException, SdkClientException, LexRuntimeException
Sends user input (text-only) to Amazon Lex. Client applications can use this API to send requests to Amazon Lex at runtime. Amazon Lex then interprets the user input using the machine learning model it built for the bot.
In response, Amazon Lex returns the next message
to convey to the user an optional
responseCard
to display. Consider the following example messages:
For a user input "I would like a pizza", Amazon Lex might return a response with a message eliciting slot data (for example, PizzaSize): "What size pizza would you like?"
After the user provides all of the pizza order information, Amazon Lex might return a response with a message to obtain user confirmation "Proceed with the pizza order?".
After the user replies to a confirmation prompt with a "yes", Amazon Lex might return a conclusion statement: "Thank you, your cheese pizza has been ordered.".
Not all Amazon Lex messages require a user response. For example, a conclusion statement does not require a
response. Some messages require only a "yes" or "no" user response. In addition to the message
,
Amazon Lex provides additional context about the message in the response that you might use to enhance client
behavior, for example, to display the appropriate client user interface. These are the slotToElicit
,
dialogState
, intentName
, and slots
fields in the response. Consider the
following examples:
If the message is to elicit slot data, Amazon Lex returns the following context information:
dialogState
set to ElicitSlot
intentName
set to the intent name in the current context
slotToElicit
set to the slot name for which the message
is eliciting information
slots
set to a map of slots, configured for the intent, with currently known values
If the message is a confirmation prompt, the dialogState
is set to ConfirmIntent and
SlotToElicit
is set to null.
If the message is a clarification prompt (configured for the intent) that indicates that user intent is not
understood, the dialogState
is set to ElicitIntent and slotToElicit
is set to null.
In addition, Amazon Lex also returns your application-specific sessionAttributes
. For more
information, see Managing Conversation
Context.
postTextRequest
- NotFoundException
- The resource (such as the Amazon Lex bot or an alias) that is referred to is not found.BadRequestException
- Request validation failed, there is no usable message in the context, or the bot build failed, is still
in progress, or contains unbuilt changes.LimitExceededException
- Exceeded a limit.InternalFailureException
- Internal service error. Retry the call.ConflictException
- Two clients are using the same AWS account, Amazon Lex bot, and user ID.DependencyFailedException
- One of the dependencies, such as AWS Lambda or Amazon Polly, threw an exception. For example,
If Amazon Lex does not have sufficient permissions to call a Lambda function.
If a Lambda function takes longer than 30 seconds to execute.
If a fulfillment Lambda function returns a Delegate
dialog action without removing any slot
values.
BadGatewayException
- Either the Amazon Lex bot is still building, or one of the dependent services (Amazon Polly, AWS Lambda)
failed with an internal service error.LoopDetectedException
- This exception is not used.SdkException
- Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for
catch all scenarios.SdkClientException
- If any client side error occurs such as an IO related failure, failure to get credentials, etc.LexRuntimeException
- Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.AwsServiceException
default PostTextResponse postText(Consumer<PostTextRequest.Builder> postTextRequest) throws NotFoundException, BadRequestException, LimitExceededException, InternalFailureException, ConflictException, DependencyFailedException, BadGatewayException, LoopDetectedException, AwsServiceException, SdkClientException, LexRuntimeException
Sends user input (text-only) to Amazon Lex. Client applications can use this API to send requests to Amazon Lex at runtime. Amazon Lex then interprets the user input using the machine learning model it built for the bot.
In response, Amazon Lex returns the next message
to convey to the user an optional
responseCard
to display. Consider the following example messages:
For a user input "I would like a pizza", Amazon Lex might return a response with a message eliciting slot data (for example, PizzaSize): "What size pizza would you like?"
After the user provides all of the pizza order information, Amazon Lex might return a response with a message to obtain user confirmation "Proceed with the pizza order?".
After the user replies to a confirmation prompt with a "yes", Amazon Lex might return a conclusion statement: "Thank you, your cheese pizza has been ordered.".
Not all Amazon Lex messages require a user response. For example, a conclusion statement does not require a
response. Some messages require only a "yes" or "no" user response. In addition to the message
,
Amazon Lex provides additional context about the message in the response that you might use to enhance client
behavior, for example, to display the appropriate client user interface. These are the slotToElicit
,
dialogState
, intentName
, and slots
fields in the response. Consider the
following examples:
If the message is to elicit slot data, Amazon Lex returns the following context information:
dialogState
set to ElicitSlot
intentName
set to the intent name in the current context
slotToElicit
set to the slot name for which the message
is eliciting information
slots
set to a map of slots, configured for the intent, with currently known values
If the message is a confirmation prompt, the dialogState
is set to ConfirmIntent and
SlotToElicit
is set to null.
If the message is a clarification prompt (configured for the intent) that indicates that user intent is not
understood, the dialogState
is set to ElicitIntent and slotToElicit
is set to null.
In addition, Amazon Lex also returns your application-specific sessionAttributes
. For more
information, see Managing Conversation
Context.
This is a convenience which creates an instance of the PostTextRequest.Builder
avoiding the need to
create one manually via PostTextRequest.builder()
postTextRequest
- A Consumer
that will call methods on PostTextRequest.Builder
to create a request.NotFoundException
- The resource (such as the Amazon Lex bot or an alias) that is referred to is not found.BadRequestException
- Request validation failed, there is no usable message in the context, or the bot build failed, is still
in progress, or contains unbuilt changes.LimitExceededException
- Exceeded a limit.InternalFailureException
- Internal service error. Retry the call.ConflictException
- Two clients are using the same AWS account, Amazon Lex bot, and user ID.DependencyFailedException
- One of the dependencies, such as AWS Lambda or Amazon Polly, threw an exception. For example,
If Amazon Lex does not have sufficient permissions to call a Lambda function.
If a Lambda function takes longer than 30 seconds to execute.
If a fulfillment Lambda function returns a Delegate
dialog action without removing any slot
values.
BadGatewayException
- Either the Amazon Lex bot is still building, or one of the dependent services (Amazon Polly, AWS Lambda)
failed with an internal service error.LoopDetectedException
- This exception is not used.SdkException
- Base class for all exceptions that can be thrown by the SDK (both service and client). Can be used for
catch all scenarios.SdkClientException
- If any client side error occurs such as an IO related failure, failure to get credentials, etc.LexRuntimeException
- Base class for all service exceptions. Unknown exceptions will be thrown as an instance of this type.AwsServiceException
static ServiceMetadata serviceMetadata()
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