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describe_bot_version

describe_bot_version(
    bot_id: Id,
    bot_version: NumericalBotVersion,
    *,
    config_overrides: Optional[LexModelsV2ClientConfig] = None,
) -> DescribeBotVersionResponse

Provides metadata about a version of a bot.

Parameters:

  • bot_id (Id) –

    The identifier of the bot containing the version to return metadata for.

  • bot_version (NumericalBotVersion) –

    The version of the bot to return metadata for.

Raises:

Source code in docs_src/capo_lex_models_v2/_services/lex_models_v2.py
def describe_bot_version(
    self,
    bot_id: "capo_lex_models_v2.types.id.Id",
    bot_version: "capo_lex_models_v2.types.numerical_bot_version.NumericalBotVersion",
    *,
    config_overrides: Optional[LexModelsV2ClientConfig] = None,
) -> "capo_lex_models_v2.types.describe_bot_version_response.DescribeBotVersionResponse":
    """<p>Provides metadata about a version of a bot.</p>

    Args:
        bot_id: <p>The identifier of the bot containing the version to return metadata for.</p>
        bot_version: <p>The version of the bot to return metadata for.</p>

    Raises:
        capo_lex_models_v2.errors.internal_server_exception.InternalServerException: <p>The service encountered an unexpected condition. Try your request again.</p>
        capo_lex_models_v2.errors.resource_not_found_exception.ResourceNotFoundException: <p>You asked to describe a resource that doesn't exist. Check the resource that you are requesting and try again.</p>
        capo_lex_models_v2.errors.service_quota_exceeded_exception.ServiceQuotaExceededException: <p>You have reached a quota for your bot. </p>
        capo_lex_models_v2.errors.throttling_exception.ThrottlingException: <p>Your request rate is too high. Reduce the frequency of requests.</p>
        capo_lex_models_v2.errors.validation_exception.ValidationException: <p>One of the input parameters in your request isn't valid. Check the parameters and try your request again.</p>
        capo_lex_models_v2.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_lex_models_v2.types.describe_bot_version_request.DescribeBotVersionRequest]",
    ) -> OperationResponse[
        "capo_lex_models_v2.types.describe_bot_version_response.DescribeBotVersionResponse"
    ]:
        import capo_lex_models_v2._operations.lex_model_building_service_v2.describe_bot_version

        output, http_response = (
            capo_lex_models_v2._operations.lex_model_building_service_v2.describe_bot_version.describe_bot_version(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("DescribeBotVersion")
    )
    input_: capo_lex_models_v2.types.describe_bot_version_request.DescribeBotVersionRequest = {
        "bot_id": bot_id,
        "bot_version": bot_version,
    }

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output