@Generated(value="com.amazonaws:aws-java-sdk-code-generator") public class AbstractAmazonLexRuntimeAsync extends AbstractAmazonLexRuntime implements AmazonLexRuntimeAsync
AmazonLexRuntimeAsync
. Convenient method forms pass through to the corresponding
overload that takes a request object and an AsyncHandler
, which throws an
UnsupportedOperationException
.ENDPOINT_PREFIX
Modifier and Type | Method and Description |
---|---|
Future<DeleteSessionResult> |
deleteSessionAsync(DeleteSessionRequest request)
Removes session information for a specified bot, alias, and user ID.
|
Future<DeleteSessionResult> |
deleteSessionAsync(DeleteSessionRequest request,
AsyncHandler<DeleteSessionRequest,DeleteSessionResult> asyncHandler)
Removes session information for a specified bot, alias, and user ID.
|
Future<GetSessionResult> |
getSessionAsync(GetSessionRequest request)
Returns session information for a specified bot, alias, and user ID.
|
Future<GetSessionResult> |
getSessionAsync(GetSessionRequest request,
AsyncHandler<GetSessionRequest,GetSessionResult> asyncHandler)
Returns session information for a specified bot, alias, and user ID.
|
Future<PostContentResult> |
postContentAsync(PostContentRequest request)
Sends user input (text or speech) to Amazon Lex.
|
Future<PostContentResult> |
postContentAsync(PostContentRequest request,
AsyncHandler<PostContentRequest,PostContentResult> asyncHandler)
Sends user input (text or speech) to Amazon Lex.
|
Future<PostTextResult> |
postTextAsync(PostTextRequest request)
Sends user input to Amazon Lex.
|
Future<PostTextResult> |
postTextAsync(PostTextRequest request,
AsyncHandler<PostTextRequest,PostTextResult> asyncHandler)
Sends user input to Amazon Lex.
|
Future<PutSessionResult> |
putSessionAsync(PutSessionRequest request)
Creates a new session or modifies an existing session with an Amazon Lex bot.
|
Future<PutSessionResult> |
putSessionAsync(PutSessionRequest request,
AsyncHandler<PutSessionRequest,PutSessionResult> asyncHandler)
Creates a new session or modifies an existing session with an Amazon Lex bot.
|
deleteSession, getCachedResponseMetadata, getSession, postContent, postText, putSession, shutdown
equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait
deleteSession, getCachedResponseMetadata, getSession, postContent, postText, putSession, shutdown
public Future<DeleteSessionResult> deleteSessionAsync(DeleteSessionRequest request)
AmazonLexRuntimeAsync
Removes session information for a specified bot, alias, and user ID.
deleteSessionAsync
in interface AmazonLexRuntimeAsync
public Future<DeleteSessionResult> deleteSessionAsync(DeleteSessionRequest request, AsyncHandler<DeleteSessionRequest,DeleteSessionResult> asyncHandler)
AmazonLexRuntimeAsync
Removes session information for a specified bot, alias, and user ID.
deleteSessionAsync
in interface AmazonLexRuntimeAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<GetSessionResult> getSessionAsync(GetSessionRequest request)
AmazonLexRuntimeAsync
Returns session information for a specified bot, alias, and user ID.
getSessionAsync
in interface AmazonLexRuntimeAsync
public Future<GetSessionResult> getSessionAsync(GetSessionRequest request, AsyncHandler<GetSessionRequest,GetSessionResult> asyncHandler)
AmazonLexRuntimeAsync
Returns session information for a specified bot, alias, and user ID.
getSessionAsync
in interface AmazonLexRuntimeAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<PostContentResult> postContentAsync(PostContentRequest request)
AmazonLexRuntimeAsync
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.
postContentAsync
in interface AmazonLexRuntimeAsync
public Future<PostContentResult> postContentAsync(PostContentRequest request, AsyncHandler<PostContentRequest,PostContentResult> asyncHandler)
AmazonLexRuntimeAsync
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.
postContentAsync
in interface AmazonLexRuntimeAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<PostTextResult> postTextAsync(PostTextRequest request)
AmazonLexRuntimeAsync
Sends user input 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.
postTextAsync
in interface AmazonLexRuntimeAsync
public Future<PostTextResult> postTextAsync(PostTextRequest request, AsyncHandler<PostTextRequest,PostTextResult> asyncHandler)
AmazonLexRuntimeAsync
Sends user input 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.
postTextAsync
in interface AmazonLexRuntimeAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.public Future<PutSessionResult> putSessionAsync(PutSessionRequest request)
AmazonLexRuntimeAsync
Creates a new session or modifies an existing session with an Amazon Lex bot. Use this operation to enable your application to set the state of the bot.
For more information, see Managing Sessions.
putSessionAsync
in interface AmazonLexRuntimeAsync
public Future<PutSessionResult> putSessionAsync(PutSessionRequest request, AsyncHandler<PutSessionRequest,PutSessionResult> asyncHandler)
AmazonLexRuntimeAsync
Creates a new session or modifies an existing session with an Amazon Lex bot. Use this operation to enable your application to set the state of the bot.
For more information, see Managing Sessions.
putSessionAsync
in interface AmazonLexRuntimeAsync
asyncHandler
- Asynchronous callback handler for events in the lifecycle of the request. Users can provide an
implementation of the callback methods in this interface to receive notification of successful or
unsuccessful completion of the operation.