DescribeBotAnalyzerRecommendationResponse ¶

class DescribeBotAnalyzerRecommendationResponse(TypedDict, closed=True):
    bot_id: NotRequired["capo_lex_models_v2.types.id.Id"]
    """<p>The unique identifier of the bot.</p>"""
    bot_version: NotRequired[
        "capo_lex_models_v2.types.draft_bot_version.DraftBotVersion"
    ]
    """<p>The version of the bot that was analyzed.</p>"""
    locale_id: NotRequired["capo_lex_models_v2.types.locale_id.LocaleId"]
    """<p>The locale identifier of the bot locale that was analyzed.</p>"""
    bot_analyzer_status: NotRequired[
        "capo_lex_models_v2.types.bot_analyzer_status.BotAnalyzerStatus"
    ]
    """<p>The current status of the analysis.</p> <p>Valid Values: <code>Processing | Available | Failed | Stopping | Stopped</code> </p>"""
    creation_date_time: NotRequired["capo_lex_models_v2.types.timestamp.Timestamp"]
    """<p>The date and time when the analysis was initiated.</p>"""
    bot_analyzer_recommendation_list: NotRequired[
        "capo_lex_models_v2.types.bot_analyzer_recommendation_list.BotAnalyzerRecommendationList"
    ]
    """<p>A list of recommendations for optimizing your bot configuration. Each recommendation includes the issue location, priority, description, and proposed fix.</p>"""
    next_token: NotRequired["capo_lex_models_v2.types.next_token.NextToken"]
    """<p>If the response is truncated, this token can be used in a subsequent request to retrieve the next page of recommendations.</p>"""