sampleUtterances

@JvmName(name = "efsylcfkvgoewscj")
suspend fun sampleUtterances(value: Output<List<String>>)
@JvmName(name = "tkbdesojjunjchwx")
suspend fun sampleUtterances(value: List<String>?)

Parameters

value

If you know a specific pattern with which users might respond to an Amazon Lex request for a slot value, you can provide those utterances to improve accuracy. This is optional. In most cases, Amazon Lex is capable of understanding user utterances. Must have between 1 and 10 items in the list, and each item must be less than or equal to 200 characters in length.


@JvmName(name = "vfcepbghsbyetvsk")
suspend fun sampleUtterances(vararg values: Output<String>)


@JvmName(name = "obnclbfuyvagnoag")
suspend fun sampleUtterances(values: List<Output<String>>)
@JvmName(name = "tioxusmaucvmhene")
suspend fun sampleUtterances(vararg values: String)

Parameters

values

If you know a specific pattern with which users might respond to an Amazon Lex request for a slot value, you can provide those utterances to improve accuracy. This is optional. In most cases, Amazon Lex is capable of understanding user utterances. Must have between 1 and 10 items in the list, and each item must be less than or equal to 200 characters in length.