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get_bot async

get_bot(
    name: BotName,
    version_or_alias: String,
    *,
    config_overrides: Optional[AsyncLexModelBuildingServiceClientConfig] = None,
) -> GetBotResponse

Returns metadata information for a specific bot. You must provide the bot name and the bot version or alias.

This operation requires permissions for the lex:GetBot action.

Parameters:

  • name (BotName) –

    The name of the bot. The name is case sensitive.

  • version_or_alias (String) –

    The version or alias of the bot.

Raises:

  • BadRequestException –

    The request is not well formed. For example, a value is invalid or a required field is missing. Check the field values, and try again.

  • InternalFailureException –

    An internal Amazon Lex error occurred. Try your request again.

  • LimitExceededException –

    The request exceeded a limit. Try your request again.

  • NotFoundException –

    The resource specified in the request was not found. Check the resource and try again.

  • UnknownServiceError –

    The service returned an error code this client does not model.

Examples:

To get information about a bot This example shows how to get configuration information for a bot.

>>> await client.get_bot(name='DocOrderPizza', version_or_alias='$LATEST')
Source code in docs_src/capo_lex_model_building_service/_services/async_lex_model_building_service.py
async def get_bot(
    self,
    name: "capo_lex_model_building_service.types.bot_name.BotName",
    version_or_alias: "capo_lex_model_building_service.types.string.String",
    *,
    config_overrides: Optional[AsyncLexModelBuildingServiceClientConfig] = None,
) -> "capo_lex_model_building_service.types.get_bot_response.GetBotResponse":
    """<p>Returns metadata information for a specific bot. You must provide the bot name and the bot version or alias. </p> <p> This operation requires permissions for the <code>lex:GetBot</code> action. </p>

    Args:
        name: <p>The name of the bot. The name is case sensitive. </p>
        version_or_alias: <p>The version or alias of the bot.</p>

    Raises:
        capo_lex_model_building_service.errors.bad_request_exception.BadRequestException: <p>The request is not well formed. For example, a value is invalid or a required field is missing. Check the field values, and try again.</p>
        capo_lex_model_building_service.errors.internal_failure_exception.InternalFailureException: <p>An internal Amazon Lex error occurred. Try your request again.</p>
        capo_lex_model_building_service.errors.limit_exceeded_exception.LimitExceededException: <p>The request exceeded a limit. Try your request again.</p>
        capo_lex_model_building_service.errors.not_found_exception.NotFoundException: <p>The resource specified in the request was not found. Check the resource and try again.</p>
        capo_lex_model_building_service.errors.UnknownServiceError: The service returned an error code this client does not model.

    Examples:
        To get information about a bot
        This example shows how to get configuration information for a bot.

        >>> await client.get_bot(name='DocOrderPizza', version_or_alias='$LATEST')
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_lex_model_building_service.types.get_bot_request.GetBotRequest]",
    ) -> AsyncOperationResponse[
        "capo_lex_model_building_service.types.get_bot_response.GetBotResponse"
    ]:
        import capo_lex_model_building_service._operations.aws_deep_sense_model_building_service.get_bot

        (
            output,
            http_response,
        ) = await capo_lex_model_building_service._operations.aws_deep_sense_model_building_service.get_bot.async_get_bot(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("GetBot")
    )
    input_: capo_lex_model_building_service.types.get_bot_request.GetBotRequest = {
        "name": name,
        "version_or_alias": version_or_alias,
    }

    response = await aexecute_pipeline(
        AsyncOperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    await response.response.aclose()
    return response.output