Class: AWS.LexRuntime
- Inherits:
-
AWS.Service
- Object
- AWS.Service
- AWS.LexRuntime
- Identifier:
- lexruntime
- API Version:
- 2016-11-28
- Defined in:
- (unknown)
Overview
Constructs a service interface object. Each API operation is exposed as a function on service.
Service Description
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, .
Sending a Request Using LexRuntime
var lexruntime = new AWS.LexRuntime();
lexruntime.postContent(params, function (err, data) {
if (err) console.log(err, err.stack); // an error occurred
else console.log(data); // successful response
});
Locking the API Version
In order to ensure that the LexRuntime object uses this specific API, you can
construct the object by passing the apiVersion
option to the constructor:
var lexruntime = new AWS.LexRuntime({apiVersion: '2016-11-28'});
You can also set the API version globally in AWS.config.apiVersions
using
the lexruntime service identifier:
AWS.config.apiVersions = {
lexruntime: '2016-11-28',
// other service API versions
};
var lexruntime = new AWS.LexRuntime();
Constructor Summary
-
new AWS.LexRuntime(options = {}) ⇒ Object
constructor
Constructs a service object.
Property Summary
-
endpoint ⇒ AWS.Endpoint
readwrite
An Endpoint object representing the endpoint URL for service requests.
Properties inherited from AWS.Service
Method Summary
-
postContent(params = {}, callback) ⇒ AWS.Request
Sends user input (text or speech) to Amazon Lex.
-
postText(params = {}, callback) ⇒ AWS.Request
Sends user input (text-only) to Amazon Lex.
Methods inherited from AWS.Service
makeRequest, makeUnauthenticatedRequest, waitFor, setupRequestListeners, defineService
Constructor Details
Property Details
Method Details
postContent(params = {}, callback) ⇒ AWS.Request
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 toElicitSlot
-
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 themessage
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 toConfirmation
and thex-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 toElicitIntent
and thex-amz-slot-to-elicit
header is omitted.
In addition, Amazon Lex also returns your application-specific sessionAttributes
. For more information, see Managing Conversation Context.
postText(params = {}, callback) ⇒ AWS.Request
Sends user input (text-only) 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 themessage
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 andSlotToElicit
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 andslotToElicit
is set to null.
In addition, Amazon Lex also returns your application-specific sessionAttributes
. For more information, see Managing Conversation Context.