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Create Bot Locale

lexmodelsv2_create_bot_locale R Documentation

Creates a locale in the bot

Description

Creates a locale in the bot. The locale contains the intents and slot types that the bot uses in conversations with users in the specified language and locale. You must add a locale to a bot before you can add intents and slot types to the bot.

Usage

lexmodelsv2_create_bot_locale(botId, botVersion, localeId, description,
  nluIntentConfidenceThreshold, voiceSettings, generativeAISettings)

Arguments

botId

[required] The identifier of the bot to create the locale for.
botVersion

[required] The version of the bot to create the locale for. This can only be the draft version of the bot.
localeId

[required] The identifier of the language and locale that the bot will be used in. The string must match one of the supported locales. All of the intents, slot types, and slots used in the bot must have the same locale. For more information, see Supported languages.
description

A description of the bot locale. Use this to help identify the bot locale in lists.
nluIntentConfidenceThreshold

[required] Determines the threshold where Amazon Lex will insert the AMAZON.FallbackIntent, AMAZON.KendraSearchIntent, or both when returning alternative intents. AMAZON.FallbackIntent and AMAZON.KendraSearchIntent are only inserted if they are configured for the bot.

For example, suppose a bot is configured with the confidence threshold of 0.80 and the AMAZON.FallbackIntent. Amazon Lex returns three alternative intents with the following confidence scores: IntentA (0.70), IntentB (0.60), IntentC (0.50). The response from the RecognizeText operation would be:

  • AMAZON.FallbackIntent

  • IntentA

  • IntentB

  • IntentC
voiceSettings

The Amazon Polly voice ID that Amazon Lex uses for voice interaction with the user.
generativeAISettings

Value

A list with the following syntax:

list(
  botId = "string",
  botVersion = "string",
  localeName = "string",
  localeId = "string",
  description = "string",
  nluIntentConfidenceThreshold = 123.0,
  voiceSettings = list(
    voiceId = "string",
    engine = "standard"|"neural"|"long-form"|"generative"
  ),
  botLocaleStatus = "Creating"|"Building"|"Built"|"ReadyExpressTesting"|"Failed"|"Deleting"|"NotBuilt"|"Importing"|"Processing",
  creationDateTime = as.POSIXct(
    "2015-01-01"
  ),
  generativeAISettings = list(
    runtimeSettings = list(
      slotResolutionImprovement = list(
        enabled = TRUE|FALSE,
        bedrockModelSpecification = list(
          modelArn = "string",
          guardrail = list(
            identifier = "string",
            version = "string"
          ),
          traceStatus = "ENABLED"|"DISABLED",
          customPrompt = "string"
        )
      )
    ),
    buildtimeSettings = list(
      descriptiveBotBuilder = list(
        enabled = TRUE|FALSE,
        bedrockModelSpecification = list(
          modelArn = "string",
          guardrail = list(
            identifier = "string",
            version = "string"
          ),
          traceStatus = "ENABLED"|"DISABLED",
          customPrompt = "string"
        )
      ),
      sampleUtteranceGeneration = list(
        enabled = TRUE|FALSE,
        bedrockModelSpecification = list(
          modelArn = "string",
          guardrail = list(
            identifier = "string",
            version = "string"
          ),
          traceStatus = "ENABLED"|"DISABLED",
          customPrompt = "string"
        )
      )
    )
  )
)

Request syntax

svc$create_bot_locale(
  botId = "string",
  botVersion = "string",
  localeId = "string",
  description = "string",
  nluIntentConfidenceThreshold = 123.0,
  voiceSettings = list(
    voiceId = "string",
    engine = "standard"|"neural"|"long-form"|"generative"
  ),
  generativeAISettings = list(
    runtimeSettings = list(
      slotResolutionImprovement = list(
        enabled = TRUE|FALSE,
        bedrockModelSpecification = list(
          modelArn = "string",
          guardrail = list(
            identifier = "string",
            version = "string"
          ),
          traceStatus = "ENABLED"|"DISABLED",
          customPrompt = "string"
        )
      )
    ),
    buildtimeSettings = list(
      descriptiveBotBuilder = list(
        enabled = TRUE|FALSE,
        bedrockModelSpecification = list(
          modelArn = "string",
          guardrail = list(
            identifier = "string",
            version = "string"
          ),
          traceStatus = "ENABLED"|"DISABLED",
          customPrompt = "string"
        )
      ),
      sampleUtteranceGeneration = list(
        enabled = TRUE|FALSE,
        bedrockModelSpecification = list(
          modelArn = "string",
          guardrail = list(
            identifier = "string",
            version = "string"
          ),
          traceStatus = "ENABLED"|"DISABLED",
          customPrompt = "string"
        )
      )
    )
  )
)