Struct aws_sdk_lexmodelsv2::client::fluent_builders::CreateIntent

pub struct CreateIntent<C = DynConnector, M = DefaultMiddleware, R = Standard> { /* private fields */ }

Fluent builder constructing a request to CreateIntent.

Creates an intent.

To define the interaction between the user and your bot, you define one or more intents. For example, for a pizza ordering bot you would create an OrderPizza intent.

When you create an intent, you must provide a name. You can optionally provide the following:

• Sample utterances. For example, "I want to order a pizza" and "Can I order a pizza." You can't provide utterances for built-in intents.

• Information to be gathered. You specify slots for the information that you bot requests from the user. You can specify standard slot types, such as date and time, or custom slot types for your application.

• How the intent is fulfilled. You can provide a Lambda function or configure the intent to return the intent information to your client application. If you use a Lambda function, Amazon Lex invokes the function when all of the intent information is available.

• A confirmation prompt to send to the user to confirm an intent. For example, "Shall I order your pizza?"

• A conclusion statement to send to the user after the intent is fulfilled. For example, "I ordered your pizza."

• A follow-up prompt that asks the user for additional activity. For example, "Do you want a drink with your pizza?"

Implementations

impl<C, M, R> CreateIntent<C, M, R> where
    C: SmithyConnector,
    M: SmithyMiddleware<C>,
    R: NewRequestPolicy, 

pub async fn send(
    self
) -> Result<CreateIntentOutput, SdkError<CreateIntentError>> where
    R::Policy: SmithyRetryPolicy<CreateIntentInputOperationOutputAlias, CreateIntentOutput, CreateIntentError, CreateIntentInputOperationRetryAlias>, 

Sends the request and returns the response.

If an error occurs, an SdkError will be returned with additional details that can be matched against.

By default, any retryable failures will be retried twice. Retry behavior is configurable with the RetryConfig, which can be set when configuring the client.

pub fn intent_name(self, input: impl Into<String>) -> Self

The name of the intent. Intent names must be unique in the locale that contains the intent and cannot match the name of any built-in intent.

pub fn set_intent_name(self, input: Option<String>) -> Self

The name of the intent. Intent names must be unique in the locale that contains the intent and cannot match the name of any built-in intent.

pub fn description(self, input: impl Into<String>) -> Self

A description of the intent. Use the description to help identify the intent in lists.

pub fn set_description(self, input: Option<String>) -> Self

A description of the intent. Use the description to help identify the intent in lists.

pub fn parent_intent_signature(self, input: impl Into<String>) -> Self

A unique identifier for the built-in intent to base this intent on.

pub fn set_parent_intent_signature(self, input: Option<String>) -> Self

A unique identifier for the built-in intent to base this intent on.

pub fn sample_utterances(self, input: SampleUtterance) -> Self

Appends an item to sampleUtterances.

To override the contents of this collection use set_sample_utterances.

An array of strings that a user might say to signal the intent. For example, "I want a pizza", or "I want a {PizzaSize} pizza".

In an utterance, slot names are enclosed in curly braces ("{", "}") to indicate where they should be displayed in the utterance shown to the user..

pub fn set_sample_utterances(self, input: Option<Vec<SampleUtterance>>) -> Self

An array of strings that a user might say to signal the intent. For example, "I want a pizza", or "I want a {PizzaSize} pizza".

In an utterance, slot names are enclosed in curly braces ("{", "}") to indicate where they should be displayed in the utterance shown to the user..

pub fn dialog_code_hook(self, input: DialogCodeHookSettings) -> Self

Specifies that Amazon Lex invokes the alias Lambda function for each user input. You can invoke this Lambda function to personalize user interaction.

For example, suppose that your bot determines that the user's name is John. You Lambda function might retrieve John's information from a backend database and prepopulate some of the values. For example, if you find that John is gluten intolerant, you might set the corresponding intent slot, glutenIntolerant to true. You might find John's phone number and set the corresponding session attribute.

pub fn set_dialog_code_hook(self, input: Option<DialogCodeHookSettings>) -> Self

Specifies that Amazon Lex invokes the alias Lambda function for each user input. You can invoke this Lambda function to personalize user interaction.

For example, suppose that your bot determines that the user's name is John. You Lambda function might retrieve John's information from a backend database and prepopulate some of the values. For example, if you find that John is gluten intolerant, you might set the corresponding intent slot, glutenIntolerant to true. You might find John's phone number and set the corresponding session attribute.

pub fn fulfillment_code_hook(self, input: FulfillmentCodeHookSettings) -> Self

Specifies that Amazon Lex invokes the alias Lambda function when the intent is ready for fulfillment. You can invoke this function to complete the bot's transaction with the user.

For example, in a pizza ordering bot, the Lambda function can look up the closest pizza restaurant to the customer's location and then place an order on the customer's behalf.

pub fn set_fulfillment_code_hook(
    self,
    input: Option<FulfillmentCodeHookSettings>
) -> Self

Specifies that Amazon Lex invokes the alias Lambda function when the intent is ready for fulfillment. You can invoke this function to complete the bot's transaction with the user.

For example, in a pizza ordering bot, the Lambda function can look up the closest pizza restaurant to the customer's location and then place an order on the customer's behalf.

pub fn intent_confirmation_setting(
    self,
    input: IntentConfirmationSetting
) -> Self

Provides prompts that Amazon Lex sends to the user to confirm the completion of an intent. If the user answers "no," the settings contain a statement that is sent to the user to end the intent.

pub fn set_intent_confirmation_setting(
    self,
    input: Option<IntentConfirmationSetting>
) -> Self

Provides prompts that Amazon Lex sends to the user to confirm the completion of an intent. If the user answers "no," the settings contain a statement that is sent to the user to end the intent.

pub fn intent_closing_setting(self, input: IntentClosingSetting) -> Self

Sets the response that Amazon Lex sends to the user when the intent is closed.

pub fn set_intent_closing_setting(
    self,
    input: Option<IntentClosingSetting>
) -> Self

Sets the response that Amazon Lex sends to the user when the intent is closed.

pub fn input_contexts(self, input: InputContext) -> Self

Appends an item to inputContexts.

To override the contents of this collection use set_input_contexts.

A list of contexts that must be active for this intent to be considered by Amazon Lex.

When an intent has an input context list, Amazon Lex only considers using the intent in an interaction with the user when the specified contexts are included in the active context list for the session. If the contexts are not active, then Amazon Lex will not use the intent.

A context can be automatically activated using the outputContexts property or it can be set at runtime.

For example, if there are two intents with different input contexts that respond to the same utterances, only the intent with the active context will respond.

An intent may have up to 5 input contexts. If an intent has multiple input contexts, all of the contexts must be active to consider the intent.

pub fn set_input_contexts(self, input: Option<Vec<InputContext>>) -> Self

A list of contexts that must be active for this intent to be considered by Amazon Lex.

When an intent has an input context list, Amazon Lex only considers using the intent in an interaction with the user when the specified contexts are included in the active context list for the session. If the contexts are not active, then Amazon Lex will not use the intent.

A context can be automatically activated using the outputContexts property or it can be set at runtime.

For example, if there are two intents with different input contexts that respond to the same utterances, only the intent with the active context will respond.

An intent may have up to 5 input contexts. If an intent has multiple input contexts, all of the contexts must be active to consider the intent.

pub fn output_contexts(self, input: OutputContext) -> Self

Appends an item to outputContexts.

To override the contents of this collection use set_output_contexts.

A lists of contexts that the intent activates when it is fulfilled.

You can use an output context to indicate the intents that Amazon Lex should consider for the next turn of the conversation with a customer.

When you use the outputContextsList property, all of the contexts specified in the list are activated when the intent is fulfilled. You can set up to 10 output contexts. You can also set the number of conversation turns that the context should be active, or the length of time that the context should be active.

pub fn set_output_contexts(self, input: Option<Vec<OutputContext>>) -> Self

A lists of contexts that the intent activates when it is fulfilled.

You can use an output context to indicate the intents that Amazon Lex should consider for the next turn of the conversation with a customer.

When you use the outputContextsList property, all of the contexts specified in the list are activated when the intent is fulfilled. You can set up to 10 output contexts. You can also set the number of conversation turns that the context should be active, or the length of time that the context should be active.

pub fn kendra_configuration(self, input: KendraConfiguration) -> Self

Configuration information required to use the AMAZON.KendraSearchIntent intent to connect to an Amazon Kendra index. The AMAZON.KendraSearchIntent intent is called when Amazon Lex can't determine another intent to invoke.

pub fn set_kendra_configuration(
    self,
    input: Option<KendraConfiguration>
) -> Self

Configuration information required to use the AMAZON.KendraSearchIntent intent to connect to an Amazon Kendra index. The AMAZON.KendraSearchIntent intent is called when Amazon Lex can't determine another intent to invoke.

pub fn bot_id(self, input: impl Into<String>) -> Self

The identifier of the bot associated with this intent.

pub fn set_bot_id(self, input: Option<String>) -> Self

The identifier of the bot associated with this intent.

pub fn bot_version(self, input: impl Into<String>) -> Self

The identifier of the version of the bot associated with this intent.

pub fn set_bot_version(self, input: Option<String>) -> Self

The identifier of the version of the bot associated with this intent.

pub fn locale_id(self, input: impl Into<String>) -> Self

The identifier of the language and locale where this intent is used. All of the bots, slot types, and slots used by the intent must have the same locale. For more information, see Supported languages.

pub fn set_locale_id(self, input: Option<String>) -> Self

The identifier of the language and locale where this intent is used. All of the bots, slot types, and slots used by the intent must have the same locale. For more information, see Supported languages.

Trait Implementations

impl<C: Clone, M: Clone, R: Clone> Clone for CreateIntent<C, M, R>

fn clone(&self) -> CreateIntent<C, M, R>

Returns a copy of the value.

fn clone_from(&mut self, source: &Self)

Performs copy-assignment from source.

impl<C: Debug, M: Debug, R: Debug> Debug for CreateIntent<C, M, R>

fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter.