Class: Aws::LexRuntimeV2::Types::RecognizeUtteranceResponse
- Inherits:
-
Struct
- Object
- Struct
- Aws::LexRuntimeV2::Types::RecognizeUtteranceResponse
- Defined in:
- gems/aws-sdk-lexruntimev2/lib/aws-sdk-lexruntimev2/types.rb
Overview
Constant Summary collapse
- SENSITIVE =
[]
Instance Attribute Summary collapse
-
#audio_stream ⇒ IO
The prompt or statement to send to the user.
-
#content_type ⇒ String
Content type as specified in the
responseContentType
in the request. -
#input_mode ⇒ String
Indicates whether the input mode to the operation was text, speech, or from a touch-tone keypad.
-
#input_transcript ⇒ String
The text used to process the request.
-
#interpretations ⇒ String
A list of intents that Amazon Lex V2 determined might satisfy the user's utterance.
-
#messages ⇒ String
A list of messages that were last sent to the user.
-
#recognized_bot_member ⇒ String
The bot member that recognized the utterance.
-
#request_attributes ⇒ String
The attributes sent in the request.
-
#session_id ⇒ String
The identifier of the session in use.
-
#session_state ⇒ String
Represents the current state of the dialog between the user and the bot.
Instance Attribute Details
#audio_stream ⇒ IO
The prompt or statement to send to the user. This is based on the
bot configuration and context. For example, if Amazon Lex V2 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 V2 sends that message in the response.
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# File 'gems/aws-sdk-lexruntimev2/lib/aws-sdk-lexruntimev2/types.rb', line 1291 class RecognizeUtteranceResponse < Struct.new( :input_mode, :content_type, :messages, :interpretations, :session_state, :request_attributes, :session_id, :input_transcript, :audio_stream, :recognized_bot_member) SENSITIVE = [] include Aws::Structure end |
#content_type ⇒ String
Content type as specified in the responseContentType
in the
request.
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# File 'gems/aws-sdk-lexruntimev2/lib/aws-sdk-lexruntimev2/types.rb', line 1291 class RecognizeUtteranceResponse < Struct.new( :input_mode, :content_type, :messages, :interpretations, :session_state, :request_attributes, :session_id, :input_transcript, :audio_stream, :recognized_bot_member) SENSITIVE = [] include Aws::Structure end |
#input_mode ⇒ String
Indicates whether the input mode to the operation was text, speech, or from a touch-tone keypad.
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# File 'gems/aws-sdk-lexruntimev2/lib/aws-sdk-lexruntimev2/types.rb', line 1291 class RecognizeUtteranceResponse < Struct.new( :input_mode, :content_type, :messages, :interpretations, :session_state, :request_attributes, :session_id, :input_transcript, :audio_stream, :recognized_bot_member) SENSITIVE = [] include Aws::Structure end |
#input_transcript ⇒ String
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 V2 is correctly
processing the audio that you send.
The inputTranscript
field is compressed with gzip and then base64
encoded. Before you can use the contents of the field, you must
decode and decompress the contents. See the example for a simple
function to decode and decompress the contents.
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# File 'gems/aws-sdk-lexruntimev2/lib/aws-sdk-lexruntimev2/types.rb', line 1291 class RecognizeUtteranceResponse < Struct.new( :input_mode, :content_type, :messages, :interpretations, :session_state, :request_attributes, :session_id, :input_transcript, :audio_stream, :recognized_bot_member) SENSITIVE = [] include Aws::Structure end |
#interpretations ⇒ String
A list of intents that Amazon Lex V2 determined might satisfy the user's utterance.
Each interpretation includes the intent, a score that indicates how confident Amazon Lex V2 is that the interpretation is the correct one, and an optional sentiment response that indicates the sentiment expressed in the utterance.
The interpretations
field is compressed with gzip and then base64
encoded. Before you can use the contents of the field, you must
decode and decompress the contents. See the example for a simple
function to decode and decompress the contents.
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# File 'gems/aws-sdk-lexruntimev2/lib/aws-sdk-lexruntimev2/types.rb', line 1291 class RecognizeUtteranceResponse < Struct.new( :input_mode, :content_type, :messages, :interpretations, :session_state, :request_attributes, :session_id, :input_transcript, :audio_stream, :recognized_bot_member) SENSITIVE = [] include Aws::Structure end |
#messages ⇒ String
A list of messages that were last sent to the user. The messages are ordered based on the order that you returned the messages from your Lambda function or the order that the messages are defined in the bot.
The messages
field is compressed with gzip and then base64
encoded. Before you can use the contents of the field, you must
decode and decompress the contents. See the example for a simple
function to decode and decompress the contents.
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# File 'gems/aws-sdk-lexruntimev2/lib/aws-sdk-lexruntimev2/types.rb', line 1291 class RecognizeUtteranceResponse < Struct.new( :input_mode, :content_type, :messages, :interpretations, :session_state, :request_attributes, :session_id, :input_transcript, :audio_stream, :recognized_bot_member) SENSITIVE = [] include Aws::Structure end |
#recognized_bot_member ⇒ String
The bot member that recognized the utterance.
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# File 'gems/aws-sdk-lexruntimev2/lib/aws-sdk-lexruntimev2/types.rb', line 1291 class RecognizeUtteranceResponse < Struct.new( :input_mode, :content_type, :messages, :interpretations, :session_state, :request_attributes, :session_id, :input_transcript, :audio_stream, :recognized_bot_member) SENSITIVE = [] include Aws::Structure end |
#request_attributes ⇒ String
The attributes sent in the request.
The requestAttributes
field is compressed with gzip and then
base64 encoded. Before you can use the contents of the field, you
must decode and decompress the contents.
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# File 'gems/aws-sdk-lexruntimev2/lib/aws-sdk-lexruntimev2/types.rb', line 1291 class RecognizeUtteranceResponse < Struct.new( :input_mode, :content_type, :messages, :interpretations, :session_state, :request_attributes, :session_id, :input_transcript, :audio_stream, :recognized_bot_member) SENSITIVE = [] include Aws::Structure end |
#session_id ⇒ String
The identifier of the session in use.
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# File 'gems/aws-sdk-lexruntimev2/lib/aws-sdk-lexruntimev2/types.rb', line 1291 class RecognizeUtteranceResponse < Struct.new( :input_mode, :content_type, :messages, :interpretations, :session_state, :request_attributes, :session_id, :input_transcript, :audio_stream, :recognized_bot_member) SENSITIVE = [] include Aws::Structure end |
#session_state ⇒ String
Represents the current state of the dialog between the user and the bot.
Use this to determine the progress of the conversation and what the next action might be.
The sessionState
field is compressed with gzip and then base64
encoded. Before you can use the contents of the field, you must
decode and decompress the contents. See the example for a simple
function to decode and decompress the contents.
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# File 'gems/aws-sdk-lexruntimev2/lib/aws-sdk-lexruntimev2/types.rb', line 1291 class RecognizeUtteranceResponse < Struct.new( :input_mode, :content_type, :messages, :interpretations, :session_state, :request_attributes, :session_id, :input_transcript, :audio_stream, :recognized_bot_member) SENSITIVE = [] include Aws::Structure end |