Interface LexRuntimeClient

All Superinterfaces:
AutoCloseable, AwsClient, SdkAutoCloseable, SdkClient

@Generated("software.amazon.awssdk:codegen") @ThreadSafe public interface LexRuntimeClient extends AwsClient
Service client for accessing Amazon Lex Runtime Service. This can be created using the static builder() method.

Amazon Lex provides both build and runtime endpoints. Each endpoint provides a set of operations (API). Your conversational bot uses the runtime API to understand user utterances (user input text or voice). For example, suppose a user says "I want pizza", your bot sends this input to Amazon Lex using the runtime API. Amazon Lex recognizes that the user request is for the OrderPizza intent (one of the intents defined in the bot). Then Amazon Lex engages in user conversation on behalf of the bot to elicit required information (slot values, such as pizza size and crust type), and then performs fulfillment activity (that you configured when you created the bot). You use the build-time API to create and manage your Amazon Lex bot. For a list of build-time operations, see the build-time API, .

  • Field Details

  • Method Details

    • deleteSession

      Removes session information for a specified bot, alias, and user ID.

      Parameters:
      deleteSessionRequest -
      Returns:
      Result of the DeleteSession operation returned by the service.
      See Also:
    • deleteSession

      Removes session information for a specified bot, alias, and user ID.


      This is a convenience which creates an instance of the DeleteSessionRequest.Builder avoiding the need to create one manually via DeleteSessionRequest.builder()

      Parameters:
      deleteSessionRequest - A Consumer that will call methods on DeleteSessionRequest.Builder to create a request.
      Returns:
      Result of the DeleteSession operation returned by the service.
      See Also:
    • getSession

      Returns session information for a specified bot, alias, and user ID.

      Parameters:
      getSessionRequest -
      Returns:
      Result of the GetSession operation returned by the service.
      See Also:
    • getSession

      Returns session information for a specified bot, alias, and user ID.


      This is a convenience which creates an instance of the GetSessionRequest.Builder avoiding the need to create one manually via GetSessionRequest.builder()

      Parameters:
      getSessionRequest - A Consumer that will call methods on GetSessionRequest.Builder to create a request.
      Returns:
      Result of the GetSession operation returned by the service.
      See Also:
    • postContent

      Sends user input (text or speech) to Amazon Lex. Clients use this API to send text and audio requests to Amazon Lex at runtime. Amazon Lex interprets the user input using the machine learning model that it built for the bot.

      The PostContent operation supports audio input at 8kHz and 16kHz. You can use 8kHz audio to achieve higher speech recognition accuracy in telephone audio applications.

      In response, Amazon Lex returns the next message to convey to the user. Consider the following example messages:

      • For a user input "I would like a pizza," Amazon Lex might return a response with a message eliciting slot data (for example, PizzaSize): "What size pizza would you like?".

      • After the user provides all of the pizza order information, Amazon Lex might return a response with a message to get user confirmation: "Order the pizza?".

      • After the user replies "Yes" to the confirmation prompt, Amazon Lex might return a conclusion statement: "Thank you, your cheese pizza has been ordered.".

      Not all Amazon Lex messages require a response from the user. For example, conclusion statements do not require a response. Some messages require only a yes or no response. In addition to the message, Amazon Lex provides additional context about the message in the response that you can use to enhance client behavior, such as displaying the appropriate client user interface. Consider the following examples:

      • If the message is to elicit slot data, Amazon Lex returns the following context information:

        • x-amz-lex-dialog-state header set to ElicitSlot

        • x-amz-lex-intent-name header set to the intent name in the current context

        • x-amz-lex-slot-to-elicit header set to the slot name for which the message is eliciting information

        • x-amz-lex-slots header set to a map of slots configured for the intent with their current values

      • If the message is a confirmation prompt, the x-amz-lex-dialog-state header is set to Confirmation and the x-amz-lex-slot-to-elicit header is omitted.

      • If the message is a clarification prompt configured for the intent, indicating that the user intent is not understood, the x-amz-dialog-state header is set to ElicitIntent and the x-amz-slot-to-elicit header is omitted.

      In addition, Amazon Lex also returns your application-specific sessionAttributes. For more information, see Managing Conversation Context.

      Parameters:
      postContentRequest -
      requestBody - The content to send to the service. A RequestBody can be created using one of several factory methods for various sources of data. For example, to create a request body from a file you can do the following.
       RequestBody.fromFile(new File("myfile.txt"))
       
      See documentation in RequestBody for additional details and which sources of data are supported. The service documentation for the request content is as follows '

      User input in PCM or Opus audio format or text format as described in the Content-Type HTTP header.

      You can stream audio data to Amazon Lex or you can create a local buffer that captures all of the audio data before sending. In general, you get better performance if you stream audio data rather than buffering the data locally.

      '
      responseTransformer - Functional interface for processing the streamed response content. The unmarshalled PostContentResponse and an InputStream to the response content are provided as parameters to the callback. The callback may return a transformed type which will be the return value of this method. See ResponseTransformer for details on implementing this interface and for links to pre-canned implementations for common scenarios like downloading to a file. The service documentation for the response content is as follows '

      The prompt (or statement) to convey to the user. This is based on the bot configuration and context. For example, if Amazon Lex did not understand the user intent, it sends the clarificationPrompt configured for the bot. If the intent requires confirmation before taking the fulfillment action, it sends the confirmationPrompt. Another example: Suppose that the Lambda function successfully fulfilled the intent, and sent a message to convey to the user. Then Amazon Lex sends that message in the response.

      '.
      Returns:
      The transformed result of the ResponseTransformer.
      See Also:
    • postContent

      Sends user input (text or speech) to Amazon Lex. Clients use this API to send text and audio requests to Amazon Lex at runtime. Amazon Lex interprets the user input using the machine learning model that it built for the bot.

      The PostContent operation supports audio input at 8kHz and 16kHz. You can use 8kHz audio to achieve higher speech recognition accuracy in telephone audio applications.

      In response, Amazon Lex returns the next message to convey to the user. Consider the following example messages:

      • For a user input "I would like a pizza," Amazon Lex might return a response with a message eliciting slot data (for example, PizzaSize): "What size pizza would you like?".

      • After the user provides all of the pizza order information, Amazon Lex might return a response with a message to get user confirmation: "Order the pizza?".

      • After the user replies "Yes" to the confirmation prompt, Amazon Lex might return a conclusion statement: "Thank you, your cheese pizza has been ordered.".

      Not all Amazon Lex messages require a response from the user. For example, conclusion statements do not require a response. Some messages require only a yes or no response. In addition to the message, Amazon Lex provides additional context about the message in the response that you can use to enhance client behavior, such as displaying the appropriate client user interface. Consider the following examples:

      • If the message is to elicit slot data, Amazon Lex returns the following context information:

        • x-amz-lex-dialog-state header set to ElicitSlot

        • x-amz-lex-intent-name header set to the intent name in the current context

        • x-amz-lex-slot-to-elicit header set to the slot name for which the message is eliciting information

        • x-amz-lex-slots header set to a map of slots configured for the intent with their current values

      • If the message is a confirmation prompt, the x-amz-lex-dialog-state header is set to Confirmation and the x-amz-lex-slot-to-elicit header is omitted.

      • If the message is a clarification prompt configured for the intent, indicating that the user intent is not understood, the x-amz-dialog-state header is set to ElicitIntent and the x-amz-slot-to-elicit header is omitted.

      In addition, Amazon Lex also returns your application-specific sessionAttributes. For more information, see Managing Conversation Context.


      This is a convenience which creates an instance of the PostContentRequest.Builder avoiding the need to create one manually via PostContentRequest.builder()

      Parameters:
      postContentRequest - A Consumer that will call methods on PostContentRequest.Builder to create a request.
      requestBody - The content to send to the service. A RequestBody can be created using one of several factory methods for various sources of data. For example, to create a request body from a file you can do the following.
       RequestBody.fromFile(new File("myfile.txt"))
       
      See documentation in RequestBody for additional details and which sources of data are supported. The service documentation for the request content is as follows '

      User input in PCM or Opus audio format or text format as described in the Content-Type HTTP header.

      You can stream audio data to Amazon Lex or you can create a local buffer that captures all of the audio data before sending. In general, you get better performance if you stream audio data rather than buffering the data locally.

      '
      responseTransformer - Functional interface for processing the streamed response content. The unmarshalled PostContentResponse and an InputStream to the response content are provided as parameters to the callback. The callback may return a transformed type which will be the return value of this method. See ResponseTransformer for details on implementing this interface and for links to pre-canned implementations for common scenarios like downloading to a file. The service documentation for the response content is as follows '

      The prompt (or statement) to convey to the user. This is based on the bot configuration and context. For example, if Amazon Lex did not understand the user intent, it sends the clarificationPrompt configured for the bot. If the intent requires confirmation before taking the fulfillment action, it sends the confirmationPrompt. Another example: Suppose that the Lambda function successfully fulfilled the intent, and sent a message to convey to the user. Then Amazon Lex sends that message in the response.

      '.
      Returns:
      The transformed result of the ResponseTransformer.
      See Also:
    • postContent

      Sends user input (text or speech) to Amazon Lex. Clients use this API to send text and audio requests to Amazon Lex at runtime. Amazon Lex interprets the user input using the machine learning model that it built for the bot.

      The PostContent operation supports audio input at 8kHz and 16kHz. You can use 8kHz audio to achieve higher speech recognition accuracy in telephone audio applications.

      In response, Amazon Lex returns the next message to convey to the user. Consider the following example messages:

      • For a user input "I would like a pizza," Amazon Lex might return a response with a message eliciting slot data (for example, PizzaSize): "What size pizza would you like?".

      • After the user provides all of the pizza order information, Amazon Lex might return a response with a message to get user confirmation: "Order the pizza?".

      • After the user replies "Yes" to the confirmation prompt, Amazon Lex might return a conclusion statement: "Thank you, your cheese pizza has been ordered.".

      Not all Amazon Lex messages require a response from the user. For example, conclusion statements do not require a response. Some messages require only a yes or no response. In addition to the message, Amazon Lex provides additional context about the message in the response that you can use to enhance client behavior, such as displaying the appropriate client user interface. Consider the following examples:

      • If the message is to elicit slot data, Amazon Lex returns the following context information:

        • x-amz-lex-dialog-state header set to ElicitSlot

        • x-amz-lex-intent-name header set to the intent name in the current context

        • x-amz-lex-slot-to-elicit header set to the slot name for which the message is eliciting information

        • x-amz-lex-slots header set to a map of slots configured for the intent with their current values

      • If the message is a confirmation prompt, the x-amz-lex-dialog-state header is set to Confirmation and the x-amz-lex-slot-to-elicit header is omitted.

      • If the message is a clarification prompt configured for the intent, indicating that the user intent is not understood, the x-amz-dialog-state header is set to ElicitIntent and the x-amz-slot-to-elicit header is omitted.

      In addition, Amazon Lex also returns your application-specific sessionAttributes. For more information, see Managing Conversation Context.

      Parameters:
      postContentRequest -
      sourcePath - Path to file containing data to send to the service. File will be read entirely and may be read multiple times in the event of a retry. If the file does not exist or the current user does not have access to read it then an exception will be thrown. The service documentation for the request content is as follows '

      User input in PCM or Opus audio format or text format as described in the Content-Type HTTP header.

      You can stream audio data to Amazon Lex or you can create a local buffer that captures all of the audio data before sending. In general, you get better performance if you stream audio data rather than buffering the data locally.

      '
      destinationPath - Path to file that response contents will be written to. The file must not exist or this method will throw an exception. If the file is not writable by the current user then an exception will be thrown. The service documentation for the response content is as follows '

      The prompt (or statement) to convey to the user. This is based on the bot configuration and context. For example, if Amazon Lex did not understand the user intent, it sends the clarificationPrompt configured for the bot. If the intent requires confirmation before taking the fulfillment action, it sends the confirmationPrompt. Another example: Suppose that the Lambda function successfully fulfilled the intent, and sent a message to convey to the user. Then Amazon Lex sends that message in the response.

      '.
      Returns:
      The transformed result of the ResponseTransformer.
      See Also:
      • invalid reference
        #postContent(PostContentRequest, RequestBody)
      • invalid reference
        #postContent(PostContentRequest, ResponseTransformer)
      • AWS API Documentation
    • postContent

      Sends user input (text or speech) to Amazon Lex. Clients use this API to send text and audio requests to Amazon Lex at runtime. Amazon Lex interprets the user input using the machine learning model that it built for the bot.

      The PostContent operation supports audio input at 8kHz and 16kHz. You can use 8kHz audio to achieve higher speech recognition accuracy in telephone audio applications.

      In response, Amazon Lex returns the next message to convey to the user. Consider the following example messages:

      • For a user input "I would like a pizza," Amazon Lex might return a response with a message eliciting slot data (for example, PizzaSize): "What size pizza would you like?".

      • After the user provides all of the pizza order information, Amazon Lex might return a response with a message to get user confirmation: "Order the pizza?".

      • After the user replies "Yes" to the confirmation prompt, Amazon Lex might return a conclusion statement: "Thank you, your cheese pizza has been ordered.".

      Not all Amazon Lex messages require a response from the user. For example, conclusion statements do not require a response. Some messages require only a yes or no response. In addition to the message, Amazon Lex provides additional context about the message in the response that you can use to enhance client behavior, such as displaying the appropriate client user interface. Consider the following examples:

      • If the message is to elicit slot data, Amazon Lex returns the following context information:

        • x-amz-lex-dialog-state header set to ElicitSlot

        • x-amz-lex-intent-name header set to the intent name in the current context

        • x-amz-lex-slot-to-elicit header set to the slot name for which the message is eliciting information

        • x-amz-lex-slots header set to a map of slots configured for the intent with their current values

      • If the message is a confirmation prompt, the x-amz-lex-dialog-state header is set to Confirmation and the x-amz-lex-slot-to-elicit header is omitted.

      • If the message is a clarification prompt configured for the intent, indicating that the user intent is not understood, the x-amz-dialog-state header is set to ElicitIntent and the x-amz-slot-to-elicit header is omitted.

      In addition, Amazon Lex also returns your application-specific sessionAttributes. For more information, see Managing Conversation Context.


      This is a convenience which creates an instance of the PostContentRequest.Builder avoiding the need to create one manually via PostContentRequest.builder()

      Parameters:
      postContentRequest - A Consumer that will call methods on PostContentRequest.Builder to create a request.
      sourcePath - Path to file containing data to send to the service. File will be read entirely and may be read multiple times in the event of a retry. If the file does not exist or the current user does not have access to read it then an exception will be thrown. The service documentation for the request content is as follows '

      User input in PCM or Opus audio format or text format as described in the Content-Type HTTP header.

      You can stream audio data to Amazon Lex or you can create a local buffer that captures all of the audio data before sending. In general, you get better performance if you stream audio data rather than buffering the data locally.

      '
      destinationPath - Path to file that response contents will be written to. The file must not exist or this method will throw an exception. If the file is not writable by the current user then an exception will be thrown. The service documentation for the response content is as follows '

      The prompt (or statement) to convey to the user. This is based on the bot configuration and context. For example, if Amazon Lex did not understand the user intent, it sends the clarificationPrompt configured for the bot. If the intent requires confirmation before taking the fulfillment action, it sends the confirmationPrompt. Another example: Suppose that the Lambda function successfully fulfilled the intent, and sent a message to convey to the user. Then Amazon Lex sends that message in the response.

      '.
      Returns:
      The transformed result of the ResponseTransformer.
      See Also:
      • invalid reference
        #postContent(PostContentRequest, RequestBody)
      • invalid reference
        #postContent(PostContentRequest, ResponseTransformer)
      • AWS API Documentation
    • postText

      Sends user input to Amazon Lex. Client applications can use this API to send requests to Amazon Lex at runtime. Amazon Lex then interprets the user input using the machine learning model it built for the bot.

      In response, Amazon Lex returns the next message to convey to the user an optional responseCard to display. Consider the following example messages:

      • For a user input "I would like a pizza", Amazon Lex might return a response with a message eliciting slot data (for example, PizzaSize): "What size pizza would you like?"

      • After the user provides all of the pizza order information, Amazon Lex might return a response with a message to obtain user confirmation "Proceed with the pizza order?".

      • After the user replies to a confirmation prompt with a "yes", Amazon Lex might return a conclusion statement: "Thank you, your cheese pizza has been ordered.".

      Not all Amazon Lex messages require a user response. For example, a conclusion statement does not require a response. Some messages require only a "yes" or "no" user response. In addition to the message, Amazon Lex provides additional context about the message in the response that you might use to enhance client behavior, for example, to display the appropriate client user interface. These are the slotToElicit, dialogState, intentName, and slots fields in the response. Consider the following examples:

      • If the message is to elicit slot data, Amazon Lex returns the following context information:

        • dialogState set to ElicitSlot

        • intentName set to the intent name in the current context

        • slotToElicit set to the slot name for which the message is eliciting information

        • slots set to a map of slots, configured for the intent, with currently known values

      • If the message is a confirmation prompt, the dialogState is set to ConfirmIntent and SlotToElicit is set to null.

      • If the message is a clarification prompt (configured for the intent) that indicates that user intent is not understood, the dialogState is set to ElicitIntent and slotToElicit is set to null.

      In addition, Amazon Lex also returns your application-specific sessionAttributes. For more information, see Managing Conversation Context.

      Parameters:
      postTextRequest -
      Returns:
      Result of the PostText operation returned by the service.
      See Also:
    • postText

      Sends user input to Amazon Lex. Client applications can use this API to send requests to Amazon Lex at runtime. Amazon Lex then interprets the user input using the machine learning model it built for the bot.

      In response, Amazon Lex returns the next message to convey to the user an optional responseCard to display. Consider the following example messages:

      • For a user input "I would like a pizza", Amazon Lex might return a response with a message eliciting slot data (for example, PizzaSize): "What size pizza would you like?"

      • After the user provides all of the pizza order information, Amazon Lex might return a response with a message to obtain user confirmation "Proceed with the pizza order?".

      • After the user replies to a confirmation prompt with a "yes", Amazon Lex might return a conclusion statement: "Thank you, your cheese pizza has been ordered.".

      Not all Amazon Lex messages require a user response. For example, a conclusion statement does not require a response. Some messages require only a "yes" or "no" user response. In addition to the message, Amazon Lex provides additional context about the message in the response that you might use to enhance client behavior, for example, to display the appropriate client user interface. These are the slotToElicit, dialogState, intentName, and slots fields in the response. Consider the following examples:

      • If the message is to elicit slot data, Amazon Lex returns the following context information:

        • dialogState set to ElicitSlot

        • intentName set to the intent name in the current context

        • slotToElicit set to the slot name for which the message is eliciting information

        • slots set to a map of slots, configured for the intent, with currently known values

      • If the message is a confirmation prompt, the dialogState is set to ConfirmIntent and SlotToElicit is set to null.

      • If the message is a clarification prompt (configured for the intent) that indicates that user intent is not understood, the dialogState is set to ElicitIntent and slotToElicit is set to null.

      In addition, Amazon Lex also returns your application-specific sessionAttributes. For more information, see Managing Conversation Context.


      This is a convenience which creates an instance of the PostTextRequest.Builder avoiding the need to create one manually via PostTextRequest.builder()

      Parameters:
      postTextRequest - A Consumer that will call methods on PostTextRequest.Builder to create a request.
      Returns:
      Result of the PostText operation returned by the service.
      See Also:
    • putSession

      Creates a new session or modifies an existing session with an Amazon Lex bot. Use this operation to enable your application to set the state of the bot.

      For more information, see Managing Sessions.

      Parameters:
      putSessionRequest -
      responseTransformer - Functional interface for processing the streamed response content. The unmarshalled PutSessionResponse and an InputStream to the response content are provided as parameters to the callback. The callback may return a transformed type which will be the return value of this method. See ResponseTransformer for details on implementing this interface and for links to pre-canned implementations for common scenarios like downloading to a file. The service documentation for the response content is as follows '

      The audio version of the message to convey to the user.

      '.
      Returns:
      The transformed result of the ResponseTransformer.
      See Also:
    • putSession

      Creates a new session or modifies an existing session with an Amazon Lex bot. Use this operation to enable your application to set the state of the bot.

      For more information, see Managing Sessions.


      This is a convenience which creates an instance of the PutSessionRequest.Builder avoiding the need to create one manually via PutSessionRequest.builder()

      Parameters:
      putSessionRequest - A Consumer that will call methods on PutSessionRequest.Builder to create a request.
      responseTransformer - Functional interface for processing the streamed response content. The unmarshalled PutSessionResponse and an InputStream to the response content are provided as parameters to the callback. The callback may return a transformed type which will be the return value of this method. See ResponseTransformer for details on implementing this interface and for links to pre-canned implementations for common scenarios like downloading to a file. The service documentation for the response content is as follows '

      The audio version of the message to convey to the user.

      '.
      Returns:
      The transformed result of the ResponseTransformer.
      See Also:
    • putSession

      Creates a new session or modifies an existing session with an Amazon Lex bot. Use this operation to enable your application to set the state of the bot.

      For more information, see Managing Sessions.

      Parameters:
      putSessionRequest -
      destinationPath - Path to file that response contents will be written to. The file must not exist or this method will throw an exception. If the file is not writable by the current user then an exception will be thrown. The service documentation for the response content is as follows '

      The audio version of the message to convey to the user.

      '.
      Returns:
      The transformed result of the ResponseTransformer.
      See Also:
    • putSession

      Creates a new session or modifies an existing session with an Amazon Lex bot. Use this operation to enable your application to set the state of the bot.

      For more information, see Managing Sessions.


      This is a convenience which creates an instance of the PutSessionRequest.Builder avoiding the need to create one manually via PutSessionRequest.builder()

      Parameters:
      putSessionRequest - A Consumer that will call methods on PutSessionRequest.Builder to create a request.
      destinationPath - Path to file that response contents will be written to. The file must not exist or this method will throw an exception. If the file is not writable by the current user then an exception will be thrown. The service documentation for the response content is as follows '

      The audio version of the message to convey to the user.

      '.
      Returns:
      The transformed result of the ResponseTransformer.
      See Also:
    • putSession

      Creates a new session or modifies an existing session with an Amazon Lex bot. Use this operation to enable your application to set the state of the bot.

      For more information, see Managing Sessions.

      Parameters:
      putSessionRequest -
      Returns:
      A ResponseInputStream containing data streamed from service. Note that this is an unmanaged reference to the underlying HTTP connection so great care must be taken to ensure all data if fully read from the input stream and that it is properly closed. Failure to do so may result in sub-optimal behavior and exhausting connections in the connection pool. The unmarshalled response object can be obtained via ResponseInputStream.response(). The service documentation for the response content is as follows '

      The audio version of the message to convey to the user.

      '.
      See Also:
    • putSession

      Creates a new session or modifies an existing session with an Amazon Lex bot. Use this operation to enable your application to set the state of the bot.

      For more information, see Managing Sessions.


      This is a convenience which creates an instance of the PutSessionRequest.Builder avoiding the need to create one manually via PutSessionRequest.builder()

      Parameters:
      putSessionRequest - A Consumer that will call methods on PutSessionRequest.Builder to create a request.
      Returns:
      A ResponseInputStream containing data streamed from service. Note that this is an unmanaged reference to the underlying HTTP connection so great care must be taken to ensure all data if fully read from the input stream and that it is properly closed. Failure to do so may result in sub-optimal behavior and exhausting connections in the connection pool. The unmarshalled response object can be obtained via ResponseInputStream.response(). The service documentation for the response content is as follows '

      The audio version of the message to convey to the user.

      '.
      See Also:
    • putSessionAsBytes

      Creates a new session or modifies an existing session with an Amazon Lex bot. Use this operation to enable your application to set the state of the bot.

      For more information, see Managing Sessions.

      Parameters:
      putSessionRequest -
      Returns:
      A ResponseBytes that loads the data streamed from the service into memory and exposes it in convenient in-memory representations like a byte buffer or string. The unmarshalled response object can be obtained via ResponseBytes.response(). The service documentation for the response content is as follows '

      The audio version of the message to convey to the user.

      '.
      See Also:
    • putSessionAsBytes

      Creates a new session or modifies an existing session with an Amazon Lex bot. Use this operation to enable your application to set the state of the bot.

      For more information, see Managing Sessions.


      This is a convenience which creates an instance of the PutSessionRequest.Builder avoiding the need to create one manually via PutSessionRequest.builder()

      Parameters:
      putSessionRequest - A Consumer that will call methods on PutSessionRequest.Builder to create a request.
      Returns:
      A ResponseBytes that loads the data streamed from the service into memory and exposes it in convenient in-memory representations like a byte buffer or string. The unmarshalled response object can be obtained via ResponseBytes.response(). The service documentation for the response content is as follows '

      The audio version of the message to convey to the user.

      '.
      See Also:
    • create

      static LexRuntimeClient create()
      Create a LexRuntimeClient with the region loaded from the DefaultAwsRegionProviderChain and credentials loaded from the DefaultCredentialsProvider.
    • builder

      static LexRuntimeClientBuilder builder()
      Create a builder that can be used to configure and create a LexRuntimeClient.
    • serviceMetadata

      static ServiceMetadata serviceMetadata()
    • serviceClientConfiguration

      default LexRuntimeServiceClientConfiguration serviceClientConfiguration()
      Description copied from interface: SdkClient
      The SDK service client configuration exposes client settings to the user, e.g., ClientOverrideConfiguration
      Specified by:
      serviceClientConfiguration in interface AwsClient
      Specified by:
      serviceClientConfiguration in interface SdkClient
      Returns:
      SdkServiceClientConfiguration