Update Bot Locale

lexmodelsv2_update_bot_locale

R Documentation

Updates the settings that a bot has for a specific locale

Description

Updates the settings that a bot has for a specific locale.

Usage

lexmodelsv2_update_bot_locale(botId, botVersion, localeId, description,
  nluIntentConfidenceThreshold, voiceSettings, generativeAISettings)

Arguments

botId	[required] The unique identifier of the bot that contains the locale.
botVersion	[required] The version of the bot that contains the locale to be updated. The version can only be the DRAFT version.
localeId	[required] The identifier of the language and locale to update. The string must match one of the supported locales. For more information, see Supported languages.
description	The new description of the locale.
nluIntentConfidenceThreshold	[required] The new confidence threshold where Amazon Lex inserts the AMAZON.FallbackIntent and AMAZON.KendraSearchIntent intents in the list of possible intents for an utterance.
voiceSettings	The new Amazon Polly voice Amazon Lex should use for voice interaction with the user.
generativeAISettings	Contains settings for generative AI features powered by Amazon Bedrock for your bot locale. Use this object to turn generative AI features on and off. Pricing may differ if you turn a feature on. For more information, see LINK.

Value

A list with the following syntax:

list(
  botId = "string",
  botVersion = "string",
  localeId = "string",
  localeName = "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",
  failureReasons = list(
    "string"
  ),
  creationDateTime = as.POSIXct(
    "2015-01-01"
  ),
  lastUpdatedDateTime = as.POSIXct(
    "2015-01-01"
  ),
  recommendedActions = list(
    "string"
  ),
  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$update_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"
        )
      )
    )
  )
)