AWS SDK Version 3 for .NET
API Reference

AWS services or capabilities described in AWS Documentation may vary by region/location. Click Getting Started with Amazon AWS to see specific differences applicable to the China (Beijing) Region.

Implementation for accessing Lex

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, .

Inheritance Hierarchy

System.Object
  Amazon.Runtime.AmazonServiceClient
    Amazon.Lex.AmazonLexClient

Namespace: Amazon.Lex
Assembly: AWSSDK.Lex.dll
Version: 3.x.y.z

Syntax

C# 
public class AmazonLexClient : AmazonServiceClient
         IAmazonLex, IAmazonService, IDisposable

The AmazonLexClient type exposes the following members

Constructors

NameDescription
Public Method AmazonLexClient()

Constructs AmazonLexClient with the credentials loaded from the application's default configuration, and if unsuccessful from the Instance Profile service on an EC2 instance. Example App.config with credentials set. 

<?xml version="1.0" encoding="utf-8" ?>
<configuration>
    <appSettings>
        <add key="AWSProfileName" value="AWS Default"/>
    </appSettings>
</configuration>

Public Method AmazonLexClient(RegionEndpoint)

Constructs AmazonLexClient with the credentials loaded from the application's default configuration, and if unsuccessful from the Instance Profile service on an EC2 instance. Example App.config with credentials set. 

<?xml version="1.0" encoding="utf-8" ?>
<configuration>
    <appSettings>
        <add key="AWSProfileName" value="AWS Default"/>
    </appSettings>
</configuration>

Public Method AmazonLexClient(AmazonLexConfig)

Constructs AmazonLexClient with the credentials loaded from the application's default configuration, and if unsuccessful from the Instance Profile service on an EC2 instance. Example App.config with credentials set. 

<?xml version="1.0" encoding="utf-8" ?>
<configuration>
    <appSettings>
        <add key="AWSProfileName" value="AWS Default"/>
    </appSettings>
</configuration>

Public Method AmazonLexClient(AWSCredentials)

Constructs AmazonLexClient with AWS Credentials

Public Method AmazonLexClient(AWSCredentials, RegionEndpoint)

Constructs AmazonLexClient with AWS Credentials

Public Method AmazonLexClient(AWSCredentials, AmazonLexConfig)

Constructs AmazonLexClient with AWS Credentials and an AmazonLexClient Configuration object.

Public Method AmazonLexClient(string, string)

Constructs AmazonLexClient with AWS Access Key ID and AWS Secret Key

Public Method AmazonLexClient(string, string, RegionEndpoint)

Constructs AmazonLexClient with AWS Access Key ID and AWS Secret Key

Public Method AmazonLexClient(string, string, AmazonLexConfig)

Constructs AmazonLexClient with AWS Access Key ID, AWS Secret Key and an AmazonLexClient Configuration object.

Public Method AmazonLexClient(string, string, string)

Constructs AmazonLexClient with AWS Access Key ID and AWS Secret Key

Public Method AmazonLexClient(string, string, string, RegionEndpoint)

Constructs AmazonLexClient with AWS Access Key ID and AWS Secret Key

Public Method AmazonLexClient(string, string, string, AmazonLexConfig)

Constructs AmazonLexClient with AWS Access Key ID, AWS Secret Key and an AmazonLexClient Configuration object.

Properties

NameTypeDescription
Public Property Config Amazon.Runtime.IClientConfig Inherited from Amazon.Runtime.AmazonServiceClient.

Methods

Note:

Asynchronous operations (methods ending with Async) in the table below are for .NET 4.5 or higher. For .NET 3.5 the SDK follows the standard naming convention of BeginMethodName and EndMethodName to indicate asynchronous operations - these method pairs are not shown in the table below.

NameDescription
Public Method DeleteSession(DeleteSessionRequest)

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

Public Method DeleteSessionAsync(DeleteSessionRequest, CancellationToken)

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

Public Method DetermineServiceOperationEndpoint(AmazonWebServiceRequest)

Returns the endpoint that will be used for a particular request.

Public Method Dispose() Inherited from Amazon.Runtime.AmazonServiceClient.
Public Method GetSession(GetSessionRequest)

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

Public Method GetSessionAsync(GetSessionRequest, CancellationToken)

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

Public Method PostContent(PostContentRequest)

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.

Public Method PostContentAsync(PostContentRequest, CancellationToken)

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.

Public Method PostText(PostTextRequest)

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.

Public Method PostTextAsync(PostTextRequest, CancellationToken)

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.

Public Method PutSession(PutSessionRequest)

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.

Public Method PutSessionAsync(PutSessionRequest, CancellationToken)

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.

Events

NameDescription
Event AfterResponseEvent Inherited from Amazon.Runtime.AmazonServiceClient.
Event BeforeRequestEvent Inherited from Amazon.Runtime.AmazonServiceClient.
Event ExceptionEvent Inherited from Amazon.Runtime.AmazonServiceClient.

Version Information

.NET Core App:
Supported in: 3.1

.NET Standard:
Supported in: 2.0

.NET Framework:
Supported in: 4.5, 4.0, 3.5