@Generated(value="com.amazonaws:aws-java-sdk-code-generator") public class PostTextResult extends AmazonWebServiceResult<ResponseMetadata> implements Serializable, Cloneable
| Constructor and Description |
|---|
PostTextResult() |
| Modifier and Type | Method and Description |
|---|---|
PostTextResult |
addSessionAttributesEntry(String key,
String value)
Add a single SessionAttributes entry
|
PostTextResult |
addSlotsEntry(String key,
String value)
Add a single Slots entry
|
PostTextResult |
clearSessionAttributesEntries()
Removes all the entries added into SessionAttributes.
|
PostTextResult |
clearSlotsEntries()
Removes all the entries added into Slots.
|
PostTextResult |
clone() |
boolean |
equals(Object obj) |
List<ActiveContext> |
getActiveContexts()
A list of active contexts for the session.
|
List<PredictedIntent> |
getAlternativeIntents()
One to four alternative intents that may be applicable to the user's intent.
|
String |
getBotVersion()
The version of the bot that responded to the conversation.
|
String |
getDialogState()
Identifies the current state of the user interaction.
|
String |
getIntentName()
The current user intent that Amazon Lex is aware of.
|
String |
getMessage()
The message to convey to the user.
|
String |
getMessageFormat()
The format of the response message.
|
IntentConfidence |
getNluIntentConfidence()
Provides a score that indicates how confident Amazon Lex is that the returned intent is the one that matches the
user's intent.
|
ResponseCard |
getResponseCard()
Represents the options that the user has to respond to the current prompt.
|
SentimentResponse |
getSentimentResponse()
The sentiment expressed in and utterance.
|
Map<String,String> |
getSessionAttributes()
A map of key-value pairs representing the session-specific context information.
|
String |
getSessionId()
A unique identifier for the session.
|
Map<String,String> |
getSlots()
The intent slots that Amazon Lex detected from the user input in the conversation.
|
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 |
setActiveContexts(Collection<ActiveContext> activeContexts)
A list of active contexts for the session.
|
void |
setAlternativeIntents(Collection<PredictedIntent> alternativeIntents)
One to four alternative intents that may be applicable to the user's intent.
|
void |
setBotVersion(String botVersion)
The version of the bot that responded to the conversation.
|
void |
setDialogState(DialogState dialogState)
Identifies the current state of the user interaction.
|
void |
setDialogState(String dialogState)
Identifies the current state of the user interaction.
|
void |
setIntentName(String intentName)
The current user intent that Amazon Lex is aware of.
|
void |
setMessage(String message)
The message to convey to the user.
|
void |
setMessageFormat(MessageFormatType messageFormat)
The format of the response message.
|
void |
setMessageFormat(String messageFormat)
The format of the response message.
|
void |
setNluIntentConfidence(IntentConfidence 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 |
setResponseCard(ResponseCard responseCard)
Represents the options that the user has to respond to the current prompt.
|
void |
setSentimentResponse(SentimentResponse sentimentResponse)
The sentiment expressed in and utterance.
|
void |
setSessionAttributes(Map<String,String> sessionAttributes)
A map of key-value pairs representing the session-specific context information.
|
void |
setSessionId(String sessionId)
A unique identifier for the session.
|
void |
setSlots(Map<String,String> slots)
The intent slots that Amazon Lex detected from the user input in the conversation.
|
void |
setSlotToElicit(String slotToElicit)
If the
dialogState value is ElicitSlot, returns the name of the slot for which Amazon
Lex is eliciting a value. |
String |
toString()
Returns a string representation of this object.
|
PostTextResult |
withActiveContexts(ActiveContext... activeContexts)
A list of active contexts for the session.
|
PostTextResult |
withActiveContexts(Collection<ActiveContext> activeContexts)
A list of active contexts for the session.
|
PostTextResult |
withAlternativeIntents(Collection<PredictedIntent> alternativeIntents)
One to four alternative intents that may be applicable to the user's intent.
|
PostTextResult |
withAlternativeIntents(PredictedIntent... alternativeIntents)
One to four alternative intents that may be applicable to the user's intent.
|
PostTextResult |
withBotVersion(String botVersion)
The version of the bot that responded to the conversation.
|
PostTextResult |
withDialogState(DialogState dialogState)
Identifies the current state of the user interaction.
|
PostTextResult |
withDialogState(String dialogState)
Identifies the current state of the user interaction.
|
PostTextResult |
withIntentName(String intentName)
The current user intent that Amazon Lex is aware of.
|
PostTextResult |
withMessage(String message)
The message to convey to the user.
|
PostTextResult |
withMessageFormat(MessageFormatType messageFormat)
The format of the response message.
|
PostTextResult |
withMessageFormat(String messageFormat)
The format of the response message.
|
PostTextResult |
withNluIntentConfidence(IntentConfidence nluIntentConfidence)
Provides a score that indicates how confident Amazon Lex is that the returned intent is the one that matches the
user's intent.
|
PostTextResult |
withResponseCard(ResponseCard responseCard)
Represents the options that the user has to respond to the current prompt.
|
PostTextResult |
withSentimentResponse(SentimentResponse sentimentResponse)
The sentiment expressed in and utterance.
|
PostTextResult |
withSessionAttributes(Map<String,String> sessionAttributes)
A map of key-value pairs representing the session-specific context information.
|
PostTextResult |
withSessionId(String sessionId)
A unique identifier for the session.
|
PostTextResult |
withSlots(Map<String,String> slots)
The intent slots that Amazon Lex detected from the user input in the conversation.
|
PostTextResult |
withSlotToElicit(String slotToElicit)
If the
dialogState value is ElicitSlot, returns the name of the slot for which Amazon
Lex is eliciting a value. |
getSdkHttpMetadata, getSdkResponseMetadata, setSdkHttpMetadata, setSdkResponseMetadatapublic void setIntentName(String intentName)
The current user intent that Amazon Lex is aware of.
intentName - The current user intent that Amazon Lex is aware of.public String getIntentName()
The current user intent that Amazon Lex is aware of.
public PostTextResult withIntentName(String intentName)
The current user intent that Amazon Lex is aware of.
intentName - The current user intent that Amazon Lex is aware of.public void setNluIntentConfidence(IntentConfidence 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. For more information, see Confidence Scores.
The score is a relative score, not an absolute score. The score may change based on improvements to Amazon Lex.
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. For more information, see Confidence Scores.
The score is a relative score, not an absolute score. The score may change based on improvements to Amazon Lex.
public IntentConfidence 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. For more information, see Confidence Scores.
The score is a relative score, not an absolute score. The score may change based on improvements to Amazon Lex.
The score is a relative score, not an absolute score. The score may change based on improvements to Amazon Lex.
public PostTextResult withNluIntentConfidence(IntentConfidence 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. For more information, see Confidence Scores.
The score is a relative score, not an absolute score. The score may change based on improvements to Amazon Lex.
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. For more information, see Confidence Scores.
The score is a relative score, not an absolute score. The score may change based on improvements to Amazon Lex.
public List<PredictedIntent> 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.
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.
public void setAlternativeIntents(Collection<PredictedIntent> 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.
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.
public PostTextResult withAlternativeIntents(PredictedIntent... 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.
NOTE: This method appends the values to the existing list (if any). Use
setAlternativeIntents(java.util.Collection) or withAlternativeIntents(java.util.Collection) if
you want to override the existing values.
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.
public PostTextResult withAlternativeIntents(Collection<PredictedIntent> 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.
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.
public Map<String,String> getSlots()
The intent slots that Amazon Lex detected from the user input in the conversation.
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.
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.
public void setSlots(Map<String,String> slots)
The intent slots that Amazon Lex detected from the user input in the conversation.
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.
slots - The intent slots that Amazon Lex detected from the user input in the conversation.
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.
public PostTextResult withSlots(Map<String,String> slots)
The intent slots that Amazon Lex detected from the user input in the conversation.
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.
slots - The intent slots that Amazon Lex detected from the user input in the conversation.
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.
public PostTextResult addSlotsEntry(String key, String value)
public PostTextResult clearSlotsEntries()
public Map<String,String> getSessionAttributes()
A map of key-value pairs representing the session-specific context information.
public void setSessionAttributes(Map<String,String> sessionAttributes)
A map of key-value pairs representing the session-specific context information.
sessionAttributes - A map of key-value pairs representing the session-specific context information.public PostTextResult withSessionAttributes(Map<String,String> sessionAttributes)
A map of key-value pairs representing the session-specific context information.
sessionAttributes - A map of key-value pairs representing the session-specific context information.public PostTextResult addSessionAttributesEntry(String key, String value)
public PostTextResult clearSessionAttributesEntries()
public void setMessage(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 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.
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 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.
public 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 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.
If the intent is not configured with a Lambda function, or if the Lambda function returned
Delegate as the dialogAction.type 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.
public PostTextResult withMessage(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 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.
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 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.
public void setSentimentResponse(SentimentResponse sentimentResponse)
The sentiment expressed in and utterance.
When the bot is configured to send utterances to Amazon Comprehend for sentiment analysis, this field contains the result of the analysis.
sentimentResponse - The sentiment expressed in and utterance.
When the bot is configured to send utterances to Amazon Comprehend for sentiment analysis, this field contains the result of the analysis.
public SentimentResponse getSentimentResponse()
The sentiment expressed in and utterance.
When the bot is configured to send utterances to Amazon Comprehend for sentiment analysis, this field contains the result of the analysis.
When the bot is configured to send utterances to Amazon Comprehend for sentiment analysis, this field contains the result of the analysis.
public PostTextResult withSentimentResponse(SentimentResponse sentimentResponse)
The sentiment expressed in and utterance.
When the bot is configured to send utterances to Amazon Comprehend for sentiment analysis, this field contains the result of the analysis.
sentimentResponse - The sentiment expressed in and utterance.
When the bot is configured to send utterances to Amazon Comprehend for sentiment analysis, this field contains the result of the analysis.
public void setMessageFormat(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 defined by the Lambda function.
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.
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 defined by the Lambda function.
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.
MessageFormatTypepublic 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 defined by the Lambda function.
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.
PlainText - The message contains plain UTF-8 text.
CustomPayload - The message is a custom format defined by the Lambda function.
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.
MessageFormatTypepublic PostTextResult withMessageFormat(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 defined by the Lambda function.
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.
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 defined by the Lambda function.
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.
MessageFormatTypepublic 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 defined by the Lambda function.
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.
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 defined by the Lambda function.
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.
MessageFormatTypepublic PostTextResult 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 defined by the Lambda function.
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.
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 defined by the Lambda function.
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.
MessageFormatTypepublic void setDialogState(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 user intent.
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 dialogState.
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," a user might respond with additional information. For example, "yes, but make it 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 value, or change intent from OrderPizza to OrderDrink).
ElicitSlot - Amazon Lex is expecting a slot value 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 configured for the intent has successfully fulfilled
the intent.
ReadyForFulfillment - Conveys that the client has to fulfill the intent.
Failed - Conveys that the conversation with the user failed.
This can happen for various reasons including that the user did 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 the Lambda function failed to fulfill the intent.
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 user intent.
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 dialogState.
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," a user might respond with additional information. For example, "yes, but make it 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 value, or change intent from OrderPizza to OrderDrink).
ElicitSlot - Amazon Lex is expecting a slot value 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 configured for the intent has successfully
fulfilled the intent.
ReadyForFulfillment - Conveys that the client has to fulfill the intent.
Failed - Conveys that the conversation with the user failed.
This can happen for various reasons including that the user did 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 the Lambda function failed to fulfill the intent.
DialogStatepublic 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 user intent.
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 dialogState.
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," a user might respond with additional information. For example, "yes, but make it 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 value, or change intent from OrderPizza to OrderDrink).
ElicitSlot - Amazon Lex is expecting a slot value 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 configured for the intent has successfully fulfilled
the intent.
ReadyForFulfillment - Conveys that the client has to fulfill the intent.
Failed - Conveys that the conversation with the user failed.
This can happen for various reasons including that the user did 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 the Lambda function failed to fulfill the intent.
dialogState. The client can optionally use this information to customize the user interface.
ElicitIntent - Amazon Lex wants to elicit user intent.
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 dialogState.
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," a user might respond with additional information. For example, "yes, but make it 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 value, or change intent from OrderPizza to OrderDrink).
ElicitSlot - Amazon Lex is expecting a slot value 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 configured for the intent has successfully
fulfilled the intent.
ReadyForFulfillment - Conveys that the client has to fulfill the intent.
Failed - Conveys that the conversation with the user failed.
This can happen for various reasons including that the user did 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 the Lambda function failed to fulfill the intent.
DialogStatepublic PostTextResult withDialogState(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 user intent.
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 dialogState.
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," a user might respond with additional information. For example, "yes, but make it 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 value, or change intent from OrderPizza to OrderDrink).
ElicitSlot - Amazon Lex is expecting a slot value 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 configured for the intent has successfully fulfilled
the intent.
ReadyForFulfillment - Conveys that the client has to fulfill the intent.
Failed - Conveys that the conversation with the user failed.
This can happen for various reasons including that the user did 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 the Lambda function failed to fulfill the intent.
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 user intent.
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 dialogState.
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," a user might respond with additional information. For example, "yes, but make it 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 value, or change intent from OrderPizza to OrderDrink).
ElicitSlot - Amazon Lex is expecting a slot value 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 configured for the intent has successfully
fulfilled the intent.
ReadyForFulfillment - Conveys that the client has to fulfill the intent.
Failed - Conveys that the conversation with the user failed.
This can happen for various reasons including that the user did 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 the Lambda function failed to fulfill the intent.
DialogStatepublic 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 user intent.
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 dialogState.
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," a user might respond with additional information. For example, "yes, but make it 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 value, or change intent from OrderPizza to OrderDrink).
ElicitSlot - Amazon Lex is expecting a slot value 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 configured for the intent has successfully fulfilled
the intent.
ReadyForFulfillment - Conveys that the client has to fulfill the intent.
Failed - Conveys that the conversation with the user failed.
This can happen for various reasons including that the user did 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 the Lambda function failed to fulfill the intent.
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 user intent.
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 dialogState.
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," a user might respond with additional information. For example, "yes, but make it 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 value, or change intent from OrderPizza to OrderDrink).
ElicitSlot - Amazon Lex is expecting a slot value 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 configured for the intent has successfully
fulfilled the intent.
ReadyForFulfillment - Conveys that the client has to fulfill the intent.
Failed - Conveys that the conversation with the user failed.
This can happen for various reasons including that the user did 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 the Lambda function failed to fulfill the intent.
DialogStatepublic PostTextResult 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 user intent.
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 dialogState.
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," a user might respond with additional information. For example, "yes, but make it 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 value, or change intent from OrderPizza to OrderDrink).
ElicitSlot - Amazon Lex is expecting a slot value 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 configured for the intent has successfully fulfilled
the intent.
ReadyForFulfillment - Conveys that the client has to fulfill the intent.
Failed - Conveys that the conversation with the user failed.
This can happen for various reasons including that the user did 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 the Lambda function failed to fulfill the intent.
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 user intent.
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 dialogState.
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," a user might respond with additional information. For example, "yes, but make it 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 value, or change intent from OrderPizza to OrderDrink).
ElicitSlot - Amazon Lex is expecting a slot value 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 configured for the intent has successfully
fulfilled the intent.
ReadyForFulfillment - Conveys that the client has to fulfill the intent.
Failed - Conveys that the conversation with the user failed.
This can happen for various reasons including that the user did 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 the Lambda function failed to fulfill the intent.
DialogStatepublic void setSlotToElicit(String slotToElicit)
If the dialogState value is ElicitSlot, returns the name of the slot for which Amazon
Lex is eliciting a value.
slotToElicit - If the dialogState value is ElicitSlot, returns the name of the slot for which
Amazon Lex is eliciting a value.public String getSlotToElicit()
If the dialogState value is ElicitSlot, returns the name of the slot for which Amazon
Lex is eliciting a value.
dialogState value is ElicitSlot, returns the name of the slot for which
Amazon Lex is eliciting a value.public PostTextResult withSlotToElicit(String slotToElicit)
If the dialogState value is ElicitSlot, returns the name of the slot for which Amazon
Lex is eliciting a value.
slotToElicit - If the dialogState value is ElicitSlot, returns the name of the slot for which
Amazon Lex is eliciting a value.public void setResponseCard(ResponseCard responseCard)
Represents the options that the user has to respond to the current prompt. Response Card can come from the bot configuration (in the Amazon Lex console, choose the settings button next to a slot) or from a code hook (Lambda function).
responseCard - Represents the options that the user has to respond to the current prompt. Response Card can come from the
bot configuration (in the Amazon Lex console, choose the settings button next to a slot) or from a code
hook (Lambda function).public ResponseCard getResponseCard()
Represents the options that the user has to respond to the current prompt. Response Card can come from the bot configuration (in the Amazon Lex console, choose the settings button next to a slot) or from a code hook (Lambda function).
public PostTextResult withResponseCard(ResponseCard responseCard)
Represents the options that the user has to respond to the current prompt. Response Card can come from the bot configuration (in the Amazon Lex console, choose the settings button next to a slot) or from a code hook (Lambda function).
responseCard - Represents the options that the user has to respond to the current prompt. Response Card can come from the
bot configuration (in the Amazon Lex console, choose the settings button next to a slot) or from a code
hook (Lambda function).public void setSessionId(String sessionId)
A unique identifier for the session.
sessionId - A unique identifier for the session.public String getSessionId()
A unique identifier for the session.
public PostTextResult withSessionId(String sessionId)
A unique identifier for the session.
sessionId - A unique identifier for the session.public void setBotVersion(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.
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.public 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.
public PostTextResult withBotVersion(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.
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.public List<ActiveContext> getActiveContexts()
A list of active contexts for the session. A context can be set when an intent is fulfilled or by calling the
PostContent, PostText, or PutSession operation.
You can use a context to control the intents that can follow up an intent, or to modify the operation of your application.
PostContent, PostText, or PutSession operation.
You can use a context to control the intents that can follow up an intent, or to modify the operation of your application.
public void setActiveContexts(Collection<ActiveContext> activeContexts)
A list of active contexts for the session. A context can be set when an intent is fulfilled or by calling the
PostContent, PostText, or PutSession operation.
You can use a context to control the intents that can follow up an intent, or to modify the operation of your application.
activeContexts - A list of active contexts for the session. A context can be set when an intent is fulfilled or by calling
the PostContent, PostText, or PutSession operation.
You can use a context to control the intents that can follow up an intent, or to modify the operation of your application.
public PostTextResult withActiveContexts(ActiveContext... activeContexts)
A list of active contexts for the session. A context can be set when an intent is fulfilled or by calling the
PostContent, PostText, or PutSession operation.
You can use a context to control the intents that can follow up an intent, or to modify the operation of your application.
NOTE: This method appends the values to the existing list (if any). Use
setActiveContexts(java.util.Collection) or withActiveContexts(java.util.Collection) if you want
to override the existing values.
activeContexts - A list of active contexts for the session. A context can be set when an intent is fulfilled or by calling
the PostContent, PostText, or PutSession operation.
You can use a context to control the intents that can follow up an intent, or to modify the operation of your application.
public PostTextResult withActiveContexts(Collection<ActiveContext> activeContexts)
A list of active contexts for the session. A context can be set when an intent is fulfilled or by calling the
PostContent, PostText, or PutSession operation.
You can use a context to control the intents that can follow up an intent, or to modify the operation of your application.
activeContexts - A list of active contexts for the session. A context can be set when an intent is fulfilled or by calling
the PostContent, PostText, or PutSession operation.
You can use a context to control the intents that can follow up an intent, or to modify the operation of your application.
public String toString()
toString in class ObjectObject.toString()public PostTextResult clone()