PostContentResult (AWS SDK for Android

java.lang.Object
- com.amazonaws.services.lexrts.model.PostContentResult

All Implemented Interfaces:: java.io.Serializable

public class PostContentResult
extends java.lang.Object
implements java.io.Serializable

See Also:: Serialized Form

Constructor Summary

Constructors
Constructor and Description

PostContentResult()

Constructors
Constructor and Description
`PostContentResult()`

Method Summary

All Methods Instance Methods Concrete Methods
Modifier and Type	Method and Description
`boolean`	`equals(java.lang.Object obj)`
`java.lang.String`	`getAlternativeIntents()` One to four alternative intents that may be applicable to the user's intent.
`java.io.InputStream`	`getAudioStream()` The prompt (or statement) to convey to the user.
`java.lang.String`	`getBotVersion()` The version of the bot that responded to the conversation.
`java.lang.String`	`getContentType()` Content type as specified in the `Accept` HTTP header in the request.
`java.lang.String`	`getDialogState()` Identifies the current state of the user interaction.
`java.lang.String`	`getInputTranscript()` The text used to process the request.
`java.lang.String`	`getIntentName()` Current user intent that Amazon Lex is aware of.
`java.lang.String`	`getMessage()` The message to convey to the user.
`java.lang.String`	`getMessageFormat()` The format of the response message.
`java.lang.String`	`getNluIntentConfidence()` Provides a score that indicates how confident Amazon Lex is that the returned intent is the one that matches the user's intent.
`java.lang.String`	`getSentimentResponse()` The sentiment expressed in an utterance.
`java.lang.String`	`getSessionAttributes()` Map of key/value pairs representing the session-specific context information.
`java.lang.String`	`getSessionId()` The unique identifier for the session.
`java.lang.String`	`getSlots()` Map of zero or more intent slots (name/value pairs) Amazon Lex detected from the user input during the conversation.
`java.lang.String`	`getSlotToElicit()` If the `dialogState` value is `ElicitSlot`, returns the name of the slot for which Amazon Lex is eliciting a value.
`int`	`hashCode()`
`void`	`setAlternativeIntents(java.lang.String alternativeIntents)` One to four alternative intents that may be applicable to the user's intent.
`void`	`setAudioStream(java.io.InputStream audioStream)` The prompt (or statement) to convey to the user.
`void`	`setBotVersion(java.lang.String botVersion)` The version of the bot that responded to the conversation.
`void`	`setContentType(java.lang.String contentType)` Content type as specified in the `Accept` HTTP header in the request.
`void`	`setDialogState(DialogState dialogState)` Identifies the current state of the user interaction.
`void`	`setDialogState(java.lang.String dialogState)` Identifies the current state of the user interaction.
`void`	`setInputTranscript(java.lang.String inputTranscript)` The text used to process the request.
`void`	`setIntentName(java.lang.String intentName)` Current user intent that Amazon Lex is aware of.
`void`	`setMessage(java.lang.String message)` The message to convey to the user.
`void`	`setMessageFormat(MessageFormatType messageFormat)` The format of the response message.
`void`	`setMessageFormat(java.lang.String messageFormat)` The format of the response message.
`void`	`setNluIntentConfidence(java.lang.String nluIntentConfidence)` Provides a score that indicates how confident Amazon Lex is that the returned intent is the one that matches the user's intent.
`void`	`setSentimentResponse(java.lang.String sentimentResponse)` The sentiment expressed in an utterance.
`void`	`setSessionAttributes(java.lang.String sessionAttributes)` Map of key/value pairs representing the session-specific context information.
`void`	`setSessionId(java.lang.String sessionId)` The unique identifier for the session.
`void`	`setSlots(java.lang.String slots)` Map of zero or more intent slots (name/value pairs) Amazon Lex detected from the user input during the conversation.
`void`	`setSlotToElicit(java.lang.String slotToElicit)` If the `dialogState` value is `ElicitSlot`, returns the name of the slot for which Amazon Lex is eliciting a value.
`java.lang.String`	`toString()` Returns a string representation of this object; useful for testing and debugging.
`PostContentResult`	`withAlternativeIntents(java.lang.String alternativeIntents)` One to four alternative intents that may be applicable to the user's intent.
`PostContentResult`	`withAudioStream(java.io.InputStream audioStream)` The prompt (or statement) to convey to the user.
`PostContentResult`	`withBotVersion(java.lang.String botVersion)` The version of the bot that responded to the conversation.
`PostContentResult`	`withContentType(java.lang.String contentType)` Content type as specified in the `Accept` HTTP header in the request.
`PostContentResult`	`withDialogState(DialogState dialogState)` Identifies the current state of the user interaction.
`PostContentResult`	`withDialogState(java.lang.String dialogState)` Identifies the current state of the user interaction.
`PostContentResult`	`withInputTranscript(java.lang.String inputTranscript)` The text used to process the request.
`PostContentResult`	`withIntentName(java.lang.String intentName)` Current user intent that Amazon Lex is aware of.
`PostContentResult`	`withMessage(java.lang.String message)` The message to convey to the user.
`PostContentResult`	`withMessageFormat(MessageFormatType messageFormat)` The format of the response message.
`PostContentResult`	`withMessageFormat(java.lang.String messageFormat)` The format of the response message.
`PostContentResult`	`withNluIntentConfidence(java.lang.String nluIntentConfidence)` Provides a score that indicates how confident Amazon Lex is that the returned intent is the one that matches the user's intent.
`PostContentResult`	`withSentimentResponse(java.lang.String sentimentResponse)` The sentiment expressed in an utterance.
`PostContentResult`	`withSessionAttributes(java.lang.String sessionAttributes)` Map of key/value pairs representing the session-specific context information.
`PostContentResult`	`withSessionId(java.lang.String sessionId)` The unique identifier for the session.
`PostContentResult`	`withSlots(java.lang.String slots)` Map of zero or more intent slots (name/value pairs) Amazon Lex detected from the user input during the conversation.
`PostContentResult`	`withSlotToElicit(java.lang.String slotToElicit)` If the `dialogState` value is `ElicitSlot`, returns the name of the slot for which Amazon Lex is eliciting a value.

Methods inherited from class java.lang.Object
getClass, notify, notifyAll, wait, wait, wait

- Constructor Detail
  - PostContentResult
```
public PostContentResult()
```
- Method Detail
  - getContentType
```
public java.lang.String getContentType()
```
    Content type as specified in the Accept HTTP header in the request.
    
    Returns:
    
    Content type as specified in the Accept HTTP header in the request.
  - setContentType
```
public void setContentType(java.lang.String contentType)
```
    Content type as specified in the Accept HTTP header in the request.
    
    Parameters:
    
    contentType -
    Content type as specified in the Accept HTTP header in the request.
  - withContentType
```
public PostContentResult withContentType(java.lang.String contentType)
```
    Content type as specified in the Accept HTTP header in the request.
    
    Returns a reference to this object so that method calls can be chained together.
    
    Parameters:
    
    contentType -
    Content type as specified in the Accept HTTP header in the request.
    
    Returns:
    
    A reference to this updated object so that method calls can be chained together.
  - getIntentName
```
public java.lang.String getIntentName()
```
    Current user intent that Amazon Lex is aware of.
    
    Returns:
    
    Current user intent that Amazon Lex is aware of.
  - setIntentName
```
public void setIntentName(java.lang.String intentName)
```
    Current user intent that Amazon Lex is aware of.
    
    Parameters:
    
    intentName -
    Current user intent that Amazon Lex is aware of.
  - withIntentName
```
public PostContentResult withIntentName(java.lang.String intentName)
```
    Current user intent that Amazon Lex is aware of.
    
    Returns a reference to this object so that method calls can be chained together.
    
    Parameters:
    
    intentName -
    Current user intent that Amazon Lex is aware of.
    
    Returns:
    
    A reference to this updated object so that method calls can be chained together.
  - getNluIntentConfidence
```
public java.lang.String getNluIntentConfidence()
```
    Provides a score that indicates how confident Amazon Lex is that the returned intent is the one that matches the user's intent. The score is between 0.0 and 1.0.
    
    The score is a relative score, not an absolute score. The score may change based on improvements to the Amazon Lex NLU.
    
    Returns:
    
    Provides a score that indicates how confident Amazon Lex is that the returned intent is the one that matches the user's intent. The score is between 0.0 and 1.0.
    
    The score is a relative score, not an absolute score. The score may change based on improvements to the Amazon Lex NLU.
  - setNluIntentConfidence
```
public void setNluIntentConfidence(java.lang.String nluIntentConfidence)
```
    Provides a score that indicates how confident Amazon Lex is that the returned intent is the one that matches the user's intent. The score is between 0.0 and 1.0.
    
    The score is a relative score, not an absolute score. The score may change based on improvements to the Amazon Lex NLU.
    
    Parameters:
    
    nluIntentConfidence -
    Provides a score that indicates how confident Amazon Lex is that the returned intent is the one that matches the user's intent. The score is between 0.0 and 1.0.
    
    The score is a relative score, not an absolute score. The score may change based on improvements to the Amazon Lex NLU.
  - withNluIntentConfidence
```
public PostContentResult withNluIntentConfidence(java.lang.String nluIntentConfidence)
```
    Provides a score that indicates how confident Amazon Lex is that the returned intent is the one that matches the user's intent. The score is between 0.0 and 1.0.
    
    The score is a relative score, not an absolute score. The score may change based on improvements to the Amazon Lex NLU.
    
    Returns a reference to this object so that method calls can be chained together.
    
    Parameters:
    
    nluIntentConfidence -
    Provides a score that indicates how confident Amazon Lex is that the returned intent is the one that matches the user's intent. The score is between 0.0 and 1.0.
    
    The score is a relative score, not an absolute score. The score may change based on improvements to the Amazon Lex NLU.
    
    Returns:
    
    A reference to this updated object so that method calls can be chained together.
  - getAlternativeIntents
```
public java.lang.String getAlternativeIntents()
```
    One to four alternative intents that may be applicable to the user's intent.
    
    Each alternative includes a score that indicates how confident Amazon Lex is that the intent matches the user's intent. The intents are sorted by the confidence score.
    
    Returns:
    
    One to four alternative intents that may be applicable to the user's intent.
    
    Each alternative includes a score that indicates how confident Amazon Lex is that the intent matches the user's intent. The intents are sorted by the confidence score.
  - setAlternativeIntents
```
public void setAlternativeIntents(java.lang.String alternativeIntents)
```
    One to four alternative intents that may be applicable to the user's intent.
    
    Each alternative includes a score that indicates how confident Amazon Lex is that the intent matches the user's intent. The intents are sorted by the confidence score.
    
    Parameters:
    
    alternativeIntents -
    One to four alternative intents that may be applicable to the user's intent.
    
    Each alternative includes a score that indicates how confident Amazon Lex is that the intent matches the user's intent. The intents are sorted by the confidence score.
  - withAlternativeIntents
```
public PostContentResult withAlternativeIntents(java.lang.String alternativeIntents)
```
    One to four alternative intents that may be applicable to the user's intent.
    
    Each alternative includes a score that indicates how confident Amazon Lex is that the intent matches the user's intent. The intents are sorted by the confidence score.
    
    Returns a reference to this object so that method calls can be chained together.
    
    Parameters:
    
    alternativeIntents -
    One to four alternative intents that may be applicable to the user's intent.
    
    Each alternative includes a score that indicates how confident Amazon Lex is that the intent matches the user's intent. The intents are sorted by the confidence score.
    
    Returns:
    
    A reference to this updated object so that method calls can be chained together.
  - getSlots
```
public java.lang.String getSlots()
```
    Map of zero or more intent slots (name/value pairs) Amazon Lex detected from the user input during the conversation. The field is base-64 encoded.
    
    Amazon Lex creates a resolution list containing likely values for a slot. The value that it returns is determined by the valueSelectionStrategy selected when the slot type was created or updated. If valueSelectionStrategy is set to ORIGINAL_VALUE, the value provided by the user is returned, if the user value is similar to the slot values. If valueSelectionStrategy is set to TOP_RESOLUTION Amazon Lex returns the first value in the resolution list or, if there is no resolution list, null. If you don't specify a valueSelectionStrategy, the default is ORIGINAL_VALUE.
    
    Returns:
    
    Map of zero or more intent slots (name/value pairs) Amazon Lex detected from the user input during the conversation. The field is base-64 encoded.
    
    Amazon Lex creates a resolution list containing likely values for a slot. The value that it returns is determined by the valueSelectionStrategy selected when the slot type was created or updated. If valueSelectionStrategy is set to ORIGINAL_VALUE, the value provided by the user is returned, if the user value is similar to the slot values. If valueSelectionStrategy is set to TOP_RESOLUTION Amazon Lex returns the first value in the resolution list or, if there is no resolution list, null. If you don't specify a valueSelectionStrategy, the default is ORIGINAL_VALUE.
  - setSlots
```
public void setSlots(java.lang.String slots)
```
    Map of zero or more intent slots (name/value pairs) Amazon Lex detected from the user input during the conversation. The field is base-64 encoded.
    
    Amazon Lex creates a resolution list containing likely values for a slot. The value that it returns is determined by the valueSelectionStrategy selected when the slot type was created or updated. If valueSelectionStrategy is set to ORIGINAL_VALUE, the value provided by the user is returned, if the user value is similar to the slot values. If valueSelectionStrategy is set to TOP_RESOLUTION Amazon Lex returns the first value in the resolution list or, if there is no resolution list, null. If you don't specify a valueSelectionStrategy, the default is ORIGINAL_VALUE.
    
    Parameters:
    
    slots -
    Map of zero or more intent slots (name/value pairs) Amazon Lex detected from the user input during the conversation. The field is base-64 encoded.
    
    Amazon Lex creates a resolution list containing likely values for a slot. The value that it returns is determined by the valueSelectionStrategy selected when the slot type was created or updated. If valueSelectionStrategy is set to ORIGINAL_VALUE, the value provided by the user is returned, if the user value is similar to the slot values. If valueSelectionStrategy is set to TOP_RESOLUTION Amazon Lex returns the first value in the resolution list or, if there is no resolution list, null. If you don't specify a valueSelectionStrategy, the default is ORIGINAL_VALUE.
  - withSlots
```
public PostContentResult withSlots(java.lang.String slots)
```
    Map of zero or more intent slots (name/value pairs) Amazon Lex detected from the user input during the conversation. The field is base-64 encoded.
    
    Amazon Lex creates a resolution list containing likely values for a slot. The value that it returns is determined by the valueSelectionStrategy selected when the slot type was created or updated. If valueSelectionStrategy is set to ORIGINAL_VALUE, the value provided by the user is returned, if the user value is similar to the slot values. If valueSelectionStrategy is set to TOP_RESOLUTION Amazon Lex returns the first value in the resolution list or, if there is no resolution list, null. If you don't specify a valueSelectionStrategy, the default is ORIGINAL_VALUE.
    
    Returns a reference to this object so that method calls can be chained together.
    
    Parameters:
    
    slots -
    Map of zero or more intent slots (name/value pairs) Amazon Lex detected from the user input during the conversation. The field is base-64 encoded.
    
    Amazon Lex creates a resolution list containing likely values for a slot. The value that it returns is determined by the valueSelectionStrategy selected when the slot type was created or updated. If valueSelectionStrategy is set to ORIGINAL_VALUE, the value provided by the user is returned, if the user value is similar to the slot values. If valueSelectionStrategy is set to TOP_RESOLUTION Amazon Lex returns the first value in the resolution list or, if there is no resolution list, null. If you don't specify a valueSelectionStrategy, the default is ORIGINAL_VALUE.
    
    Returns:
    
    A reference to this updated object so that method calls can be chained together.
  - getSessionAttributes
```
public java.lang.String getSessionAttributes()
```
    Map of key/value pairs representing the session-specific context information.
    
    Returns:
    
    Map of key/value pairs representing the session-specific context information.
  - setSessionAttributes
```
public void setSessionAttributes(java.lang.String sessionAttributes)
```
    Map of key/value pairs representing the session-specific context information.
    
    Parameters:
    
    sessionAttributes -
    Map of key/value pairs representing the session-specific context information.
  - withSessionAttributes
```
public PostContentResult withSessionAttributes(java.lang.String sessionAttributes)
```
    Map of key/value pairs representing the session-specific context information.
    
    Returns a reference to this object so that method calls can be chained together.
    
    Parameters:
    
    sessionAttributes -
    Map of key/value pairs representing the session-specific context information.
    
    Returns:
    
    A reference to this updated object so that method calls can be chained together.
  - getSentimentResponse
```
public java.lang.String getSentimentResponse()
```
    The sentiment expressed in an utterance.
    
    When the bot is configured to send utterances to Amazon Comprehend for sentiment analysis, this field contains the result of the analysis.
    
    Returns:
    
    The sentiment expressed in an utterance.
    
    When the bot is configured to send utterances to Amazon Comprehend for sentiment analysis, this field contains the result of the analysis.
  - setSentimentResponse
```
public void setSentimentResponse(java.lang.String sentimentResponse)
```
    The sentiment expressed in an utterance.
    
    When the bot is configured to send utterances to Amazon Comprehend for sentiment analysis, this field contains the result of the analysis.
    
    Parameters:
    
    sentimentResponse -
    The sentiment expressed in an utterance.
    
    When the bot is configured to send utterances to Amazon Comprehend for sentiment analysis, this field contains the result of the analysis.
  - withSentimentResponse
```
public PostContentResult withSentimentResponse(java.lang.String sentimentResponse)
```
    The sentiment expressed in an utterance.
    
    When the bot is configured to send utterances to Amazon Comprehend for sentiment analysis, this field contains the result of the analysis.
    
    Returns a reference to this object so that method calls can be chained together.
    
    Parameters:
    
    sentimentResponse -
    The sentiment expressed in an utterance.
    
    When the bot is configured to send utterances to Amazon Comprehend for sentiment analysis, this field contains the result of the analysis.
    
    Returns:
    
    A reference to this updated object so that method calls can be chained together.
  - getMessage
```
public java.lang.String getMessage()
```
    The message to convey to the user. The message can come from the bot's configuration or from a Lambda function.
    
    If the intent is not configured with a Lambda function, or if the Lambda function returned Delegate as the dialogAction.type in its response, Amazon Lex decides on the next course of action and selects an appropriate message from the bot's configuration based on the current interaction context. For example, if Amazon Lex isn't able to understand user input, it uses a clarification prompt message.
    
    When you create an intent you can assign messages to groups. When messages are assigned to groups Amazon Lex returns one message from each group in the response. The message field is an escaped JSON string containing the messages. For more information about the structure of the JSON string returned, see msg-prompts-formats.
    
    If the Lambda function returns a message, Amazon Lex passes it to the client in its response.
    
    Constraints:
    Length: 1 - 1024
    
    Returns:
    
    The message to convey to the user. The message can come from the bot's configuration or from a Lambda function.
    
    If the intent is not configured with a Lambda function, or if the Lambda function returned Delegate as the dialogAction.type in its response, Amazon Lex decides on the next course of action and selects an appropriate message from the bot's configuration based on the current interaction context. For example, if Amazon Lex isn't able to understand user input, it uses a clarification prompt message.
    
    When you create an intent you can assign messages to groups. When messages are assigned to groups Amazon Lex returns one message from each group in the response. The message field is an escaped JSON string containing the messages. For more information about the structure of the JSON string returned, see msg-prompts-formats.
    
    If the Lambda function returns a message, Amazon Lex passes it to the client in its response.
  - setMessage
```
public void setMessage(java.lang.String message)
```
    The message to convey to the user. The message can come from the bot's configuration or from a Lambda function.
    
    If the intent is not configured with a Lambda function, or if the Lambda function returned Delegate as the dialogAction.type in its response, Amazon Lex decides on the next course of action and selects an appropriate message from the bot's configuration based on the current interaction context. For example, if Amazon Lex isn't able to understand user input, it uses a clarification prompt message.
    
    When you create an intent you can assign messages to groups. When messages are assigned to groups Amazon Lex returns one message from each group in the response. The message field is an escaped JSON string containing the messages. For more information about the structure of the JSON string returned, see msg-prompts-formats.
    
    If the Lambda function returns a message, Amazon Lex passes it to the client in its response.
    
    Constraints:
    Length: 1 - 1024
    
    Parameters:
    
    message -
    The message to convey to the user. The message can come from the bot's configuration or from a Lambda function.
    
    If the intent is not configured with a Lambda function, or if the Lambda function returned Delegate as the dialogAction.type in its response, Amazon Lex decides on the next course of action and selects an appropriate message from the bot's configuration based on the current interaction context. For example, if Amazon Lex isn't able to understand user input, it uses a clarification prompt message.
    
    When you create an intent you can assign messages to groups. When messages are assigned to groups Amazon Lex returns one message from each group in the response. The message field is an escaped JSON string containing the messages. For more information about the structure of the JSON string returned, see msg-prompts-formats.
    
    If the Lambda function returns a message, Amazon Lex passes it to the client in its response.
  - withMessage
```
public PostContentResult withMessage(java.lang.String message)
```
    The message to convey to the user. The message can come from the bot's configuration or from a Lambda function.
    
    If the intent is not configured with a Lambda function, or if the Lambda function returned Delegate as the dialogAction.type in its response, Amazon Lex decides on the next course of action and selects an appropriate message from the bot's configuration based on the current interaction context. For example, if Amazon Lex isn't able to understand user input, it uses a clarification prompt message.
    
    When you create an intent you can assign messages to groups. When messages are assigned to groups Amazon Lex returns one message from each group in the response. The message field is an escaped JSON string containing the messages. For more information about the structure of the JSON string returned, see msg-prompts-formats.
    
    If the Lambda function returns a message, Amazon Lex passes it to the client in its response.
    
    Returns a reference to this object so that method calls can be chained together.
    Constraints:
    Length: 1 - 1024
    
    Parameters:
    
    message -
    The message to convey to the user. The message can come from the bot's configuration or from a Lambda function.
    
    If the intent is not configured with a Lambda function, or if the Lambda function returned Delegate as the dialogAction.type in its response, Amazon Lex decides on the next course of action and selects an appropriate message from the bot's configuration based on the current interaction context. For example, if Amazon Lex isn't able to understand user input, it uses a clarification prompt message.
    
    When you create an intent you can assign messages to groups. When messages are assigned to groups Amazon Lex returns one message from each group in the response. The message field is an escaped JSON string containing the messages. For more information about the structure of the JSON string returned, see msg-prompts-formats.
    
    If the Lambda function returns a message, Amazon Lex passes it to the client in its response.
    
    Returns:
    
    A reference to this updated object so that method calls can be chained together.
  - getMessageFormat
```
public java.lang.String getMessageFormat()
```
    The format of the response message. One of the following values:
    - PlainText - The message contains plain UTF-8 text.
    - CustomPayload - The message is a custom format for the client.
    - SSML - The message contains text formatted for voice output.
    - Composite - The message contains an escaped JSON object containing one or more messages from the groups that messages were assigned to when the intent was created.
    Constraints:
    Allowed Values: PlainText, CustomPayload, SSML, Composite
    Returns:
    The format of the response message. One of the following values:
    
    PlainText - The message contains plain UTF-8 text.
    
    CustomPayload - The message is a custom format for the client.
    
    SSML - The message contains text formatted for voice output.
    
    Composite - The message contains an escaped JSON object containing one or more messages from the groups that messages were assigned to when the intent was created.
    See Also:
    
    MessageFormatType
  - setMessageFormat
```
public void setMessageFormat(java.lang.String messageFormat)
```
    The format of the response message. One of the following values:
    - PlainText - The message contains plain UTF-8 text.
    - CustomPayload - The message is a custom format for the client.
    - SSML - The message contains text formatted for voice output.
    - Composite - The message contains an escaped JSON object containing one or more messages from the groups that messages were assigned to when the intent was created.
    Constraints:
    Allowed Values: PlainText, CustomPayload, SSML, Composite
    Parameters:
    messageFormat -
    The format of the response message. One of the following values:
    
    PlainText - The message contains plain UTF-8 text.
    
    CustomPayload - The message is a custom format for the client.
    
    SSML - The message contains text formatted for voice output.
    
    Composite - The message contains an escaped JSON object containing one or more messages from the groups that messages were assigned to when the intent was created.
    See Also:
    
    MessageFormatType
  - withMessageFormat
```
public PostContentResult withMessageFormat(java.lang.String messageFormat)
```
    The format of the response message. One of the following values:
    - PlainText - The message contains plain UTF-8 text.
    - CustomPayload - The message is a custom format for the client.
    - SSML - The message contains text formatted for voice output.
    - Composite - The message contains an escaped JSON object containing one or more messages from the groups that messages were assigned to when the intent was created.
    Returns a reference to this object so that method calls can be chained together.
    Constraints:
    Allowed Values: PlainText, CustomPayload, SSML, Composite
    Parameters:
    messageFormat -
    The format of the response message. One of the following values:
    
    PlainText - The message contains plain UTF-8 text.
    
    CustomPayload - The message is a custom format for the client.
    
    SSML - The message contains text formatted for voice output.
    
    Composite - The message contains an escaped JSON object containing one or more messages from the groups that messages were assigned to when the intent was created.
    Returns:
    
    A reference to this updated object so that method calls can be chained together.
    
    See Also:
    
    MessageFormatType
  - setMessageFormat
```
public void setMessageFormat(MessageFormatType messageFormat)
```
    The format of the response message. One of the following values:
    - PlainText - The message contains plain UTF-8 text.
    - CustomPayload - The message is a custom format for the client.
    - SSML - The message contains text formatted for voice output.
    - Composite - The message contains an escaped JSON object containing one or more messages from the groups that messages were assigned to when the intent was created.
    Constraints:
    Allowed Values: PlainText, CustomPayload, SSML, Composite
    Parameters:
    messageFormat -
    The format of the response message. One of the following values:
    
    PlainText - The message contains plain UTF-8 text.
    
    CustomPayload - The message is a custom format for the client.
    
    SSML - The message contains text formatted for voice output.
    
    Composite - The message contains an escaped JSON object containing one or more messages from the groups that messages were assigned to when the intent was created.
    See Also:
    
    MessageFormatType
  - withMessageFormat
```
public PostContentResult withMessageFormat(MessageFormatType messageFormat)
```
    The format of the response message. One of the following values:
    - PlainText - The message contains plain UTF-8 text.
    - CustomPayload - The message is a custom format for the client.
    - SSML - The message contains text formatted for voice output.
    - Composite - The message contains an escaped JSON object containing one or more messages from the groups that messages were assigned to when the intent was created.
    Returns a reference to this object so that method calls can be chained together.
    Constraints:
    Allowed Values: PlainText, CustomPayload, SSML, Composite
    Parameters:
    messageFormat -
    The format of the response message. One of the following values:
    
    PlainText - The message contains plain UTF-8 text.
    
    CustomPayload - The message is a custom format for the client.
    
    SSML - The message contains text formatted for voice output.
    
    Composite - The message contains an escaped JSON object containing one or more messages from the groups that messages were assigned to when the intent was created.
    Returns:
    
    A reference to this updated object so that method calls can be chained together.
    
    See Also:
    
    MessageFormatType
  - getDialogState
```
public java.lang.String getDialogState()
```
    Identifies the current state of the user interaction. Amazon Lex returns one of the following values as dialogState. The client can optionally use this information to customize the user interface.
    - ElicitIntent - Amazon Lex wants to elicit the user's intent. Consider the following examples:
      
      For example, a user might utter an intent ("I want to order a pizza"). If Amazon Lex cannot infer the user intent from this utterance, it will return this dialog state.
    - ConfirmIntent - Amazon Lex is expecting a "yes" or "no" response.
      
      For example, Amazon Lex wants user confirmation before fulfilling an intent. Instead of a simple "yes" or "no" response, a user might respond with additional information. For example, "yes, but make it a thick crust pizza" or "no, I want to order a drink." Amazon Lex can process such additional information (in these examples, update the crust type slot or change the intent from OrderPizza to OrderDrink).
    - ElicitSlot - Amazon Lex is expecting the value of a slot for the current intent.
      
      For example, suppose that in the response Amazon Lex sends this message: "What size pizza would you like?". A user might reply with the slot value (e.g., "medium"). The user might also provide additional information in the response (e.g., "medium thick crust pizza"). Amazon Lex can process such additional information appropriately.
    - Fulfilled - Conveys that the Lambda function has successfully fulfilled the intent.
    - ReadyForFulfillment - Conveys that the client has to fulfill the request.
    - Failed - Conveys that the conversation with the user failed.
      
      This can happen for various reasons, including that the user does not provide an appropriate response to prompts from the service (you can configure how many times Amazon Lex can prompt a user for specific information), or if the Lambda function fails to fulfill the intent.
    Constraints:
    Allowed Values: ElicitIntent, ConfirmIntent, ElicitSlot, Fulfilled, ReadyForFulfillment, Failed
    Returns:
    Identifies the current state of the user interaction. Amazon Lex returns one of the following values as dialogState. The client can optionally use this information to customize the user interface.
    
    ElicitIntent - Amazon Lex wants to elicit the user's intent. Consider the following examples:
    
    For example, a user might utter an intent ("I want to order a pizza"). If Amazon Lex cannot infer the user intent from this utterance, it will return this dialog state.
    
    ConfirmIntent - Amazon Lex is expecting a "yes" or "no" response.
    
    For example, Amazon Lex wants user confirmation before fulfilling an intent. Instead of a simple "yes" or "no" response, a user might respond with additional information. For example, "yes, but make it a thick crust pizza" or "no, I want to order a drink." Amazon Lex can process such additional information (in these examples, update the crust type slot or change the intent from OrderPizza to OrderDrink).
    
    ElicitSlot - Amazon Lex is expecting the value of a slot for the current intent.
    
    For example, suppose that in the response Amazon Lex sends this message: "What size pizza would you like?". A user might reply with the slot value (e.g., "medium"). The user might also provide additional information in the response (e.g., "medium thick crust pizza"). Amazon Lex can process such additional information appropriately.
    
    Fulfilled - Conveys that the Lambda function has successfully fulfilled the intent.
    
    ReadyForFulfillment - Conveys that the client has to fulfill the request.
    
    Failed - Conveys that the conversation with the user failed.
    
    This can happen for various reasons, including that the user does not provide an appropriate response to prompts from the service (you can configure how many times Amazon Lex can prompt a user for specific information), or if the Lambda function fails to fulfill the intent.
    See Also:
    
    DialogState
  - setDialogState
```
public void setDialogState(java.lang.String dialogState)
```
    Identifies the current state of the user interaction. Amazon Lex returns one of the following values as dialogState. The client can optionally use this information to customize the user interface.
    - ElicitIntent - Amazon Lex wants to elicit the user's intent. Consider the following examples:
      
      For example, a user might utter an intent ("I want to order a pizza"). If Amazon Lex cannot infer the user intent from this utterance, it will return this dialog state.
    - ConfirmIntent - Amazon Lex is expecting a "yes" or "no" response.
      
      For example, Amazon Lex wants user confirmation before fulfilling an intent. Instead of a simple "yes" or "no" response, a user might respond with additional information. For example, "yes, but make it a thick crust pizza" or "no, I want to order a drink." Amazon Lex can process such additional information (in these examples, update the crust type slot or change the intent from OrderPizza to OrderDrink).
    - ElicitSlot - Amazon Lex is expecting the value of a slot for the current intent.
      
      For example, suppose that in the response Amazon Lex sends this message: "What size pizza would you like?". A user might reply with the slot value (e.g., "medium"). The user might also provide additional information in the response (e.g., "medium thick crust pizza"). Amazon Lex can process such additional information appropriately.
    - Fulfilled - Conveys that the Lambda function has successfully fulfilled the intent.
    - ReadyForFulfillment - Conveys that the client has to fulfill the request.
    - Failed - Conveys that the conversation with the user failed.
      
      This can happen for various reasons, including that the user does not provide an appropriate response to prompts from the service (you can configure how many times Amazon Lex can prompt a user for specific information), or if the Lambda function fails to fulfill the intent.
    Constraints:
    Allowed Values: ElicitIntent, ConfirmIntent, ElicitSlot, Fulfilled, ReadyForFulfillment, Failed
    Parameters:
    dialogState -
    Identifies the current state of the user interaction. Amazon Lex returns one of the following values as dialogState. The client can optionally use this information to customize the user interface.
    
    ElicitIntent - Amazon Lex wants to elicit the user's intent. Consider the following examples:
    
    For example, a user might utter an intent ("I want to order a pizza"). If Amazon Lex cannot infer the user intent from this utterance, it will return this dialog state.
    
    ConfirmIntent - Amazon Lex is expecting a "yes" or "no" response.
    
    For example, Amazon Lex wants user confirmation before fulfilling an intent. Instead of a simple "yes" or "no" response, a user might respond with additional information. For example, "yes, but make it a thick crust pizza" or "no, I want to order a drink." Amazon Lex can process such additional information (in these examples, update the crust type slot or change the intent from OrderPizza to OrderDrink).
    
    ElicitSlot - Amazon Lex is expecting the value of a slot for the current intent.
    
    For example, suppose that in the response Amazon Lex sends this message: "What size pizza would you like?". A user might reply with the slot value (e.g., "medium"). The user might also provide additional information in the response (e.g., "medium thick crust pizza"). Amazon Lex can process such additional information appropriately.
    
    Fulfilled - Conveys that the Lambda function has successfully fulfilled the intent.
    
    ReadyForFulfillment - Conveys that the client has to fulfill the request.
    
    Failed - Conveys that the conversation with the user failed.
    
    This can happen for various reasons, including that the user does not provide an appropriate response to prompts from the service (you can configure how many times Amazon Lex can prompt a user for specific information), or if the Lambda function fails to fulfill the intent.
    See Also:
    
    DialogState
  - withDialogState
```
public PostContentResult withDialogState(java.lang.String dialogState)
```
    Identifies the current state of the user interaction. Amazon Lex returns one of the following values as dialogState. The client can optionally use this information to customize the user interface.
    - ElicitIntent - Amazon Lex wants to elicit the user's intent. Consider the following examples:
      
      For example, a user might utter an intent ("I want to order a pizza"). If Amazon Lex cannot infer the user intent from this utterance, it will return this dialog state.
    - ConfirmIntent - Amazon Lex is expecting a "yes" or "no" response.
      
      For example, Amazon Lex wants user confirmation before fulfilling an intent. Instead of a simple "yes" or "no" response, a user might respond with additional information. For example, "yes, but make it a thick crust pizza" or "no, I want to order a drink." Amazon Lex can process such additional information (in these examples, update the crust type slot or change the intent from OrderPizza to OrderDrink).
    - ElicitSlot - Amazon Lex is expecting the value of a slot for the current intent.
      
      For example, suppose that in the response Amazon Lex sends this message: "What size pizza would you like?". A user might reply with the slot value (e.g., "medium"). The user might also provide additional information in the response (e.g., "medium thick crust pizza"). Amazon Lex can process such additional information appropriately.
    - Fulfilled - Conveys that the Lambda function has successfully fulfilled the intent.
    - ReadyForFulfillment - Conveys that the client has to fulfill the request.
    - Failed - Conveys that the conversation with the user failed.
      
      This can happen for various reasons, including that the user does not provide an appropriate response to prompts from the service (you can configure how many times Amazon Lex can prompt a user for specific information), or if the Lambda function fails to fulfill the intent.
    Returns a reference to this object so that method calls can be chained together.
    Constraints:
    Allowed Values: ElicitIntent, ConfirmIntent, ElicitSlot, Fulfilled, ReadyForFulfillment, Failed
    Parameters:
    dialogState -
    Identifies the current state of the user interaction. Amazon Lex returns one of the following values as dialogState. The client can optionally use this information to customize the user interface.
    
    ElicitIntent - Amazon Lex wants to elicit the user's intent. Consider the following examples:
    
    For example, a user might utter an intent ("I want to order a pizza"). If Amazon Lex cannot infer the user intent from this utterance, it will return this dialog state.
    
    ConfirmIntent - Amazon Lex is expecting a "yes" or "no" response.
    
    For example, Amazon Lex wants user confirmation before fulfilling an intent. Instead of a simple "yes" or "no" response, a user might respond with additional information. For example, "yes, but make it a thick crust pizza" or "no, I want to order a drink." Amazon Lex can process such additional information (in these examples, update the crust type slot or change the intent from OrderPizza to OrderDrink).
    
    ElicitSlot - Amazon Lex is expecting the value of a slot for the current intent.
    
    For example, suppose that in the response Amazon Lex sends this message: "What size pizza would you like?". A user might reply with the slot value (e.g., "medium"). The user might also provide additional information in the response (e.g., "medium thick crust pizza"). Amazon Lex can process such additional information appropriately.
    
    Fulfilled - Conveys that the Lambda function has successfully fulfilled the intent.
    
    ReadyForFulfillment - Conveys that the client has to fulfill the request.
    
    Failed - Conveys that the conversation with the user failed.
    
    This can happen for various reasons, including that the user does not provide an appropriate response to prompts from the service (you can configure how many times Amazon Lex can prompt a user for specific information), or if the Lambda function fails to fulfill the intent.
    Returns:
    
    A reference to this updated object so that method calls can be chained together.
    
    See Also:
    
    DialogState
  - setDialogState
```
public void setDialogState(DialogState dialogState)
```
    Identifies the current state of the user interaction. Amazon Lex returns one of the following values as dialogState. The client can optionally use this information to customize the user interface.
    - ElicitIntent - Amazon Lex wants to elicit the user's intent. Consider the following examples:
      
      For example, a user might utter an intent ("I want to order a pizza"). If Amazon Lex cannot infer the user intent from this utterance, it will return this dialog state.
    - ConfirmIntent - Amazon Lex is expecting a "yes" or "no" response.
      
      For example, Amazon Lex wants user confirmation before fulfilling an intent. Instead of a simple "yes" or "no" response, a user might respond with additional information. For example, "yes, but make it a thick crust pizza" or "no, I want to order a drink." Amazon Lex can process such additional information (in these examples, update the crust type slot or change the intent from OrderPizza to OrderDrink).
    - ElicitSlot - Amazon Lex is expecting the value of a slot for the current intent.
      
      For example, suppose that in the response Amazon Lex sends this message: "What size pizza would you like?". A user might reply with the slot value (e.g., "medium"). The user might also provide additional information in the response (e.g., "medium thick crust pizza"). Amazon Lex can process such additional information appropriately.
    - Fulfilled - Conveys that the Lambda function has successfully fulfilled the intent.
    - ReadyForFulfillment - Conveys that the client has to fulfill the request.
    - Failed - Conveys that the conversation with the user failed.
      
      This can happen for various reasons, including that the user does not provide an appropriate response to prompts from the service (you can configure how many times Amazon Lex can prompt a user for specific information), or if the Lambda function fails to fulfill the intent.
    Constraints:
    Allowed Values: ElicitIntent, ConfirmIntent, ElicitSlot, Fulfilled, ReadyForFulfillment, Failed
    Parameters:
    dialogState -
    Identifies the current state of the user interaction. Amazon Lex returns one of the following values as dialogState. The client can optionally use this information to customize the user interface.
    
    ElicitIntent - Amazon Lex wants to elicit the user's intent. Consider the following examples:
    
    For example, a user might utter an intent ("I want to order a pizza"). If Amazon Lex cannot infer the user intent from this utterance, it will return this dialog state.
    
    ConfirmIntent - Amazon Lex is expecting a "yes" or "no" response.
    
    For example, Amazon Lex wants user confirmation before fulfilling an intent. Instead of a simple "yes" or "no" response, a user might respond with additional information. For example, "yes, but make it a thick crust pizza" or "no, I want to order a drink." Amazon Lex can process such additional information (in these examples, update the crust type slot or change the intent from OrderPizza to OrderDrink).
    
    ElicitSlot - Amazon Lex is expecting the value of a slot for the current intent.
    
    For example, suppose that in the response Amazon Lex sends this message: "What size pizza would you like?". A user might reply with the slot value (e.g., "medium"). The user might also provide additional information in the response (e.g., "medium thick crust pizza"). Amazon Lex can process such additional information appropriately.
    
    Fulfilled - Conveys that the Lambda function has successfully fulfilled the intent.
    
    ReadyForFulfillment - Conveys that the client has to fulfill the request.
    
    Failed - Conveys that the conversation with the user failed.
    
    This can happen for various reasons, including that the user does not provide an appropriate response to prompts from the service (you can configure how many times Amazon Lex can prompt a user for specific information), or if the Lambda function fails to fulfill the intent.
    See Also:
    
    DialogState
  - withDialogState
```
public PostContentResult withDialogState(DialogState dialogState)
```
    Identifies the current state of the user interaction. Amazon Lex returns one of the following values as dialogState. The client can optionally use this information to customize the user interface.
    - ElicitIntent - Amazon Lex wants to elicit the user's intent. Consider the following examples:
      
      For example, a user might utter an intent ("I want to order a pizza"). If Amazon Lex cannot infer the user intent from this utterance, it will return this dialog state.
    - ConfirmIntent - Amazon Lex is expecting a "yes" or "no" response.
      
      For example, Amazon Lex wants user confirmation before fulfilling an intent. Instead of a simple "yes" or "no" response, a user might respond with additional information. For example, "yes, but make it a thick crust pizza" or "no, I want to order a drink." Amazon Lex can process such additional information (in these examples, update the crust type slot or change the intent from OrderPizza to OrderDrink).
    - ElicitSlot - Amazon Lex is expecting the value of a slot for the current intent.
      
      For example, suppose that in the response Amazon Lex sends this message: "What size pizza would you like?". A user might reply with the slot value (e.g., "medium"). The user might also provide additional information in the response (e.g., "medium thick crust pizza"). Amazon Lex can process such additional information appropriately.
    - Fulfilled - Conveys that the Lambda function has successfully fulfilled the intent.
    - ReadyForFulfillment - Conveys that the client has to fulfill the request.
    - Failed - Conveys that the conversation with the user failed.
      
      This can happen for various reasons, including that the user does not provide an appropriate response to prompts from the service (you can configure how many times Amazon Lex can prompt a user for specific information), or if the Lambda function fails to fulfill the intent.
    Returns a reference to this object so that method calls can be chained together.
    Constraints:
    Allowed Values: ElicitIntent, ConfirmIntent, ElicitSlot, Fulfilled, ReadyForFulfillment, Failed
    Parameters:
    dialogState -
    Identifies the current state of the user interaction. Amazon Lex returns one of the following values as dialogState. The client can optionally use this information to customize the user interface.
    
    ElicitIntent - Amazon Lex wants to elicit the user's intent. Consider the following examples:
    
    For example, a user might utter an intent ("I want to order a pizza"). If Amazon Lex cannot infer the user intent from this utterance, it will return this dialog state.
    
    ConfirmIntent - Amazon Lex is expecting a "yes" or "no" response.
    
    For example, Amazon Lex wants user confirmation before fulfilling an intent. Instead of a simple "yes" or "no" response, a user might respond with additional information. For example, "yes, but make it a thick crust pizza" or "no, I want to order a drink." Amazon Lex can process such additional information (in these examples, update the crust type slot or change the intent from OrderPizza to OrderDrink).
    
    ElicitSlot - Amazon Lex is expecting the value of a slot for the current intent.
    
    For example, suppose that in the response Amazon Lex sends this message: "What size pizza would you like?". A user might reply with the slot value (e.g., "medium"). The user might also provide additional information in the response (e.g., "medium thick crust pizza"). Amazon Lex can process such additional information appropriately.
    
    Fulfilled - Conveys that the Lambda function has successfully fulfilled the intent.
    
    ReadyForFulfillment - Conveys that the client has to fulfill the request.
    
    Failed - Conveys that the conversation with the user failed.
    
    This can happen for various reasons, including that the user does not provide an appropriate response to prompts from the service (you can configure how many times Amazon Lex can prompt a user for specific information), or if the Lambda function fails to fulfill the intent.
    Returns:
    
    A reference to this updated object so that method calls can be chained together.
    
    See Also:
    
    DialogState
  - getSlotToElicit
```
public java.lang.String getSlotToElicit()
```
    If the dialogState value is ElicitSlot, returns the name of the slot for which Amazon Lex is eliciting a value.
    
    Returns:
    
    If the dialogState value is ElicitSlot, returns the name of the slot for which Amazon Lex is eliciting a value.
  - setSlotToElicit
```
public void setSlotToElicit(java.lang.String slotToElicit)
```
    If the dialogState value is ElicitSlot, returns the name of the slot for which Amazon Lex is eliciting a value.
    
    Parameters:
    
    slotToElicit -
    If the dialogState value is ElicitSlot, returns the name of the slot for which Amazon Lex is eliciting a value.
  - withSlotToElicit
```
public PostContentResult withSlotToElicit(java.lang.String slotToElicit)
```
    If the dialogState value is ElicitSlot, returns the name of the slot for which Amazon Lex is eliciting a value.
    
    Returns a reference to this object so that method calls can be chained together.
    
    Parameters:
    
    slotToElicit -
    If the dialogState value is ElicitSlot, returns the name of the slot for which Amazon Lex is eliciting a value.
    
    Returns:
    
    A reference to this updated object so that method calls can be chained together.
  - getInputTranscript
```
public java.lang.String getInputTranscript()
```
    The text used to process the request.
    
    If the input was an audio stream, the inputTranscript field contains the text extracted from the audio stream. This is the text that is actually processed to recognize intents and slot values. You can use this information to determine if Amazon Lex is correctly processing the audio that you send.
    
    Returns:
    
    The text used to process the request.
    
    If the input was an audio stream, the inputTranscript field contains the text extracted from the audio stream. This is the text that is actually processed to recognize intents and slot values. You can use this information to determine if Amazon Lex is correctly processing the audio that you send.
  - setInputTranscript
```
public void setInputTranscript(java.lang.String inputTranscript)
```
    The text used to process the request.
    
    If the input was an audio stream, the inputTranscript field contains the text extracted from the audio stream. This is the text that is actually processed to recognize intents and slot values. You can use this information to determine if Amazon Lex is correctly processing the audio that you send.
    
    Parameters:
    
    inputTranscript -
    The text used to process the request.
    
    If the input was an audio stream, the inputTranscript field contains the text extracted from the audio stream. This is the text that is actually processed to recognize intents and slot values. You can use this information to determine if Amazon Lex is correctly processing the audio that you send.
  - withInputTranscript
```
public PostContentResult withInputTranscript(java.lang.String inputTranscript)
```
    The text used to process the request.
    
    If the input was an audio stream, the inputTranscript field contains the text extracted from the audio stream. This is the text that is actually processed to recognize intents and slot values. You can use this information to determine if Amazon Lex is correctly processing the audio that you send.
    
    Returns a reference to this object so that method calls can be chained together.
    
    Parameters:
    
    inputTranscript -
    The text used to process the request.
    
    If the input was an audio stream, the inputTranscript field contains the text extracted from the audio stream. This is the text that is actually processed to recognize intents and slot values. You can use this information to determine if Amazon Lex is correctly processing the audio that you send.
    
    Returns:
    
    A reference to this updated object so that method calls can be chained together.
  - getAudioStream
```
public java.io.InputStream getAudioStream()
```
    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.
    
    Returns:
    
    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.
  - setAudioStream
```
public void setAudioStream(java.io.InputStream audioStream)
```
    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.
    
    Parameters:
    
    audioStream -
    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.
  - withAudioStream
```
public PostContentResult withAudioStream(java.io.InputStream audioStream)
```
    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.
    
    Returns a reference to this object so that method calls can be chained together.
    
    Parameters:
    
    audioStream -
    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.
    
    Returns:
    
    A reference to this updated object so that method calls can be chained together.
  - getBotVersion
```
public java.lang.String getBotVersion()
```
    The version of the bot that responded to the conversation. You can use this information to help determine if one version of a bot is performing better than another version.
    
    If you have enabled the new natural language understanding (NLU) model, you can use this to determine if the improvement is due to changes to the bot or changes to the NLU.
    
    For more information about enabling the new NLU, see the enableModelImprovements parameter of the PutBot operation.
    
    Constraints:
    Length: 1 - 64
    Pattern: [0-9]+|\$LATEST
    
    Returns:
    
    The version of the bot that responded to the conversation. You can use this information to help determine if one version of a bot is performing better than another version.
    
    If you have enabled the new natural language understanding (NLU) model, you can use this to determine if the improvement is due to changes to the bot or changes to the NLU.
    
    For more information about enabling the new NLU, see the enableModelImprovements parameter of the PutBot operation.
  - setBotVersion
```
public void setBotVersion(java.lang.String botVersion)
```
    The version of the bot that responded to the conversation. You can use this information to help determine if one version of a bot is performing better than another version.
    
    If you have enabled the new natural language understanding (NLU) model, you can use this to determine if the improvement is due to changes to the bot or changes to the NLU.
    
    For more information about enabling the new NLU, see the enableModelImprovements parameter of the PutBot operation.
    
    Constraints:
    Length: 1 - 64
    Pattern: [0-9]+|\$LATEST
    
    Parameters:
    
    botVersion -
    The version of the bot that responded to the conversation. You can use this information to help determine if one version of a bot is performing better than another version.
    
    If you have enabled the new natural language understanding (NLU) model, you can use this to determine if the improvement is due to changes to the bot or changes to the NLU.
    
    For more information about enabling the new NLU, see the enableModelImprovements parameter of the PutBot operation.
  - withBotVersion
```
public PostContentResult withBotVersion(java.lang.String botVersion)
```
    The version of the bot that responded to the conversation. You can use this information to help determine if one version of a bot is performing better than another version.
    
    If you have enabled the new natural language understanding (NLU) model, you can use this to determine if the improvement is due to changes to the bot or changes to the NLU.
    
    For more information about enabling the new NLU, see the enableModelImprovements parameter of the PutBot operation.
    
    Returns a reference to this object so that method calls can be chained together.
    Constraints:
    Length: 1 - 64
    Pattern: [0-9]+|\$LATEST
    
    Parameters:
    
    botVersion -
    The version of the bot that responded to the conversation. You can use this information to help determine if one version of a bot is performing better than another version.
    
    If you have enabled the new natural language understanding (NLU) model, you can use this to determine if the improvement is due to changes to the bot or changes to the NLU.
    
    For more information about enabling the new NLU, see the enableModelImprovements parameter of the PutBot operation.
    
    Returns:
    
    A reference to this updated object so that method calls can be chained together.
  - getSessionId
```
public java.lang.String getSessionId()
```
    The unique identifier for the session.
    
    Returns:
    
    The unique identifier for the session.
  - setSessionId
```
public void setSessionId(java.lang.String sessionId)
```
    The unique identifier for the session.
    
    Parameters:
    
    sessionId -
    The unique identifier for the session.
  - withSessionId
```
public PostContentResult withSessionId(java.lang.String sessionId)
```
    The unique identifier for the session.
    
    Returns a reference to this object so that method calls can be chained together.
    
    Parameters:
    
    sessionId -
    The unique identifier for the session.
    
    Returns:
    
    A reference to this updated object so that method calls can be chained together.
  - toString
```
public java.lang.String toString()
```
    Returns a string representation of this object; useful for testing and debugging.
    
    Overrides:
    
    toString in class java.lang.Object
    
    Returns:
    
    A string representation of this object.
    
    See Also:
    
    Object.toString()
  - hashCode
```
public int hashCode()
```
    Overrides:
    
    hashCode in class java.lang.Object
  - equals
```
public boolean equals(java.lang.Object obj)
```
    Overrides:
    
    equals in class java.lang.Object

Class PostContentResult

Constructor Summary

Method Summary

Methods inherited from class java.lang.Object

Constructor Detail

PostContentResult

Method Detail

getContentType

setContentType

withContentType

getIntentName

setIntentName

withIntentName

getNluIntentConfidence

setNluIntentConfidence

withNluIntentConfidence

getAlternativeIntents

setAlternativeIntents

withAlternativeIntents

getSlots

setSlots

withSlots

getSessionAttributes

setSessionAttributes

withSessionAttributes

getSentimentResponse

setSentimentResponse

withSentimentResponse

getMessage

setMessage

withMessage

getMessageFormat

setMessageFormat

withMessageFormat

setMessageFormat

withMessageFormat

getDialogState

setDialogState

withDialogState

setDialogState

withDialogState

getSlotToElicit

setSlotToElicit

withSlotToElicit

getInputTranscript

setInputTranscript

withInputTranscript

getAudioStream

setAudioStream

withAudioStream

getBotVersion

setBotVersion

withBotVersion

getSessionId

setSessionId

withSessionId

toString

hashCode

equals