pulumi-google-native-kotlin/com.pulumi.googlenative.dialogflow.v2beta1.kotlin.inputs/GoogleCloudDialogflowV2beta1IntentTrainingPhraseArgsBuilder/parts

parts

@JvmName(name = "wgbqecaqqykpibtx")
suspend fun parts(value: Output<List<GoogleCloudDialogflowV2beta1IntentTrainingPhrasePartArgs>>)
@JvmName(name = "sdsibaplxujvufbt")
suspend fun parts(value: List<GoogleCloudDialogflowV2beta1IntentTrainingPhrasePartArgs>)

Parameters

value

The ordered list of training phrase parts. The parts are concatenated in order to form the training phrase. Note: The API does not automatically annotate training phrases like the Dialogflow Console does. Note: Do not forget to include whitespace at part boundaries, so the training phrase is well formatted when the parts are concatenated. If the training phrase does not need to be annotated with parameters, you just need a single part with only the Part.text field set. If you want to annotate the training phrase, you must create multiple parts, where the fields of each part are populated in one of two ways: - Part.text is set to a part of the phrase that has no parameters. - Part.text is set to a part of the phrase that you want to annotate, and the entity_type, alias, and user_defined fields are all set.

@JvmName(name = "eqacfornailxawca")
suspend fun parts(vararg values: Output<GoogleCloudDialogflowV2beta1IntentTrainingPhrasePartArgs>)

@JvmName(name = "fnxunfwblalfwhpb")
suspend fun parts(values: List<Output<GoogleCloudDialogflowV2beta1IntentTrainingPhrasePartArgs>>)
@JvmName(name = "kimfhxmcboarumoy")
suspend fun parts(vararg values: GoogleCloudDialogflowV2beta1IntentTrainingPhrasePartArgs)

Parameters

values

The ordered list of training phrase parts. The parts are concatenated in order to form the training phrase. Note: The API does not automatically annotate training phrases like the Dialogflow Console does. Note: Do not forget to include whitespace at part boundaries, so the training phrase is well formatted when the parts are concatenated. If the training phrase does not need to be annotated with parameters, you just need a single part with only the Part.text field set. If you want to annotate the training phrase, you must create multiple parts, where the fields of each part are populated in one of two ways: - Part.text is set to a part of the phrase that has no parameters. - Part.text is set to a part of the phrase that you want to annotate, and the entity_type, alias, and user_defined fields are all set.

@JvmName(name = "turqktsppuycmtkb")
suspend fun parts(argument: List<suspend GoogleCloudDialogflowV2beta1IntentTrainingPhrasePartArgsBuilder.() -> Unit>)
@JvmName(name = "srbbebyprgmukhpk")
suspend fun parts(vararg argument: suspend GoogleCloudDialogflowV2beta1IntentTrainingPhrasePartArgsBuilder.() -> Unit)
@JvmName(name = "btixddhhwtepmhud")
suspend fun parts(argument: suspend GoogleCloudDialogflowV2beta1IntentTrainingPhrasePartArgsBuilder.() -> Unit)

Parameters

argument

The ordered list of training phrase parts. The parts are concatenated in order to form the training phrase. Note: The API does not automatically annotate training phrases like the Dialogflow Console does. Note: Do not forget to include whitespace at part boundaries, so the training phrase is well formatted when the parts are concatenated. If the training phrase does not need to be annotated with parameters, you just need a single part with only the Part.text field set. If you want to annotate the training phrase, you must create multiple parts, where the fields of each part are populated in one of two ways: - Part.text is set to a part of the phrase that has no parameters. - Part.text is set to a part of the phrase that you want to annotate, and the entity_type, alias, and user_defined fields are all set.