Crate rusoto_lex_models
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Amazon Lex is an AWS service for building conversational voice and text interfaces. Use these actions to create, update, and delete conversational bots for new and existing client applications.
If you’re using the service, you’re probably looking for LexModelsClient and LexModels.
Structs
Provides information about a bot alias.
Represents an association between an Amazon Lex bot and an external messaging platform.
Provides information about a bot. .
Provides metadata for a built-in intent.
Provides information about a slot used in a built-in intent.
Provides information about a built in slot type.
Specifies a Lambda function that verifies requests to a bot or fulfills the user's request to a bot..
Provides the settings needed for conversation logs.
Contains information about conversation log settings.
Each slot type can have a set of values. Each enumeration value represents a value the slot type can take.
For example, a pizza ordering bot could have a slot type that specifies the type of crust that the pizza should have. The slot type could include the values
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thick
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thin
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stuffed
A prompt for additional activity after an intent is fulfilled. For example, after the OrderPizza intent is fulfilled, you might prompt the user to find out whether the user wants to order drinks.
Describes how the intent is fulfilled after the user provides all of the information required for the intent. You can provide a Lambda function to process the intent, or you can return the intent information to the client application. We recommend that you use a Lambda function so that the relevant logic lives in the Cloud and limit the client-side code primarily to presentation. If you need to update the logic, you only update the Lambda function; you don't need to upgrade your client application.
Consider the following examples:
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In a pizza ordering application, after the user provides all of the information for placing an order, you use a Lambda function to place an order with a pizzeria.
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In a gaming application, when a user says "pick up a rock," this information must go back to the client application so that it can perform the operation and update the graphics. In this case, you want Amazon Lex to return the intent data to the client.
The name of a context that must be active for an intent to be selected by Amazon Lex.
Identifies the specific version of an intent.
Provides information about an intent.
Provides configuration information for the AMAZON.KendraSearchIntent intent. When you use this intent, Amazon Lex searches the specified Amazon Kendra index and returns documents from the index that match the user's utterance. For more information, see AMAZON.KendraSearchIntent.
A client for the Amazon Lex Model Building Service API.
Settings used to configure delivery mode and destination for conversation logs.
The settings for conversation logs.
The message object that provides the message text and its type.
The specification of an output context that is set when an intent is fulfilled.
Obtains information from the user. To define a prompt, provide one or more messages and specify the number of attempts to get information from the user. If you provide more than one message, Amazon Lex chooses one of the messages to use to prompt the user. For more information, see how-it-works.
Describes the resource that refers to the resource that you are attempting to delete. This object is returned as part of the ResourceInUseException exception.
Identifies the version of a specific slot.
A default value for a slot.
Contains the default values for a slot. Default values are used when Amazon Lex hasn't determined a value for a slot.
Provides configuration information for a slot type.
Provides information about a slot type..
Provides a regular expression used to validate the value of a slot.
A collection of messages that convey information to the user. At runtime, Amazon Lex selects the message to convey.
A list of key/value pairs that identify a bot, bot alias, or bot channel. Tag keys and values can consist of Unicode letters, digits, white space, and any of the following symbols: _ . : / = + - @.
Provides information about a single utterance that was made to your bot.
Provides a list of utterances that have been made to a specific version of your bot. The list contains a maximum of 100 utterances.
Enums
Errors returned by CreateBotVersion
Errors returned by CreateIntentVersion
Errors returned by CreateSlotTypeVersion
Errors returned by DeleteBotAlias
Errors returned by DeleteBotChannelAssociation
Errors returned by DeleteBot
Errors returned by DeleteBotVersion
Errors returned by DeleteIntent
Errors returned by DeleteIntentVersion
Errors returned by DeleteSlotType
Errors returned by DeleteSlotTypeVersion
Errors returned by DeleteUtterances
Errors returned by GetBotAlias
Errors returned by GetBotAliases
Errors returned by GetBotChannelAssociation
Errors returned by GetBotChannelAssociations
Errors returned by GetBot
Errors returned by GetBotVersions
Errors returned by GetBots
Errors returned by GetBuiltinIntent
Errors returned by GetBuiltinIntents
Errors returned by GetBuiltinSlotTypes
Errors returned by GetExport
Errors returned by GetImport
Errors returned by GetIntent
Errors returned by GetIntentVersions
Errors returned by GetIntents
Errors returned by GetSlotType
Errors returned by GetSlotTypeVersions
Errors returned by GetSlotTypes
Errors returned by GetUtterancesView
Errors returned by ListTagsForResource
Errors returned by PutBotAlias
Errors returned by PutBot
Errors returned by PutIntent
Errors returned by PutSlotType
Errors returned by StartImport
Errors returned by TagResource
Errors returned by UntagResource
Traits
Trait representing the capabilities of the Amazon Lex Model Building Service API. Amazon Lex Model Building Service clients implement this trait.