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create_contact_flow_alias async

create_contact_flow_alias(
    instance_id: InstanceIdOrArn,
    contact_flow_id: ARN,
    contact_flow_version: ResourceVersion,
    alias_name: ContactFlowName,
    *,
    config_overrides: Optional[AsyncConnectClientConfig] = None,
    description: Optional[ContactFlowDescription] = None,
) -> CreateContactFlowAliasResponse

Creates a named alias that points to a specific version of a flow.

Parameters:

Raises:

Source code in docs_src/capo_connect/_services/async_connect.py
async def create_contact_flow_alias(
    self,
    instance_id: "capo_connect.types.instance_id_or_arn.InstanceIdOrArn",
    contact_flow_id: "capo_connect.types.arn.ARN",
    contact_flow_version: "capo_connect.types.resource_version.ResourceVersion",
    alias_name: "capo_connect.types.contact_flow_name.ContactFlowName",
    *,
    config_overrides: Optional[AsyncConnectClientConfig] = None,
    description: Optional[
        "capo_connect.types.contact_flow_description.ContactFlowDescription"
    ] = None,
) -> "capo_connect.types.create_contact_flow_alias_response.CreateContactFlowAliasResponse":
    """<p>Creates a named alias that points to a specific version of a flow.</p>

    Args:
        instance_id: <p>The identifier of the Connect Customer instance. You can <a href="https://docs.aws.amazon.com/connect/latest/adminguide/find-instance-arn.html">find the instance ID</a> in the Amazon Resource Name (ARN) of the instance.</p>
        description: <p>The description of the alias.</p>
        contact_flow_id: <p>The identifier of the flow.</p>
        contact_flow_version: <p>The version of the flow.</p>
        alias_name: <p>The name of the alias.</p>

    Raises:
        capo_connect.errors.access_denied_exception.AccessDeniedException: <p>You do not have sufficient permissions to perform this action.</p>
        capo_connect.errors.duplicate_resource_exception.DuplicateResourceException: <p>A resource with the specified name already exists.</p>
        capo_connect.errors.internal_service_exception.InternalServiceException: <p>Request processing failed because of an error or failure with the service.</p>
        capo_connect.errors.invalid_parameter_exception.InvalidParameterException: <p>One or more of the specified parameters are not valid.</p>
        capo_connect.errors.invalid_request_exception.InvalidRequestException: <p>The request is not valid.</p>
        capo_connect.errors.limit_exceeded_exception.LimitExceededException: <p>The allowed limit for the resource has been exceeded.</p>
        capo_connect.errors.resource_not_found_exception.ResourceNotFoundException: <p>The specified resource was not found.</p>
        capo_connect.errors.throttling_exception.ThrottlingException: <p>The throttling limit has been exceeded.</p>
        capo_connect.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_connect.types.create_contact_flow_alias_request.CreateContactFlowAliasRequest]",
    ) -> AsyncOperationResponse[
        "capo_connect.types.create_contact_flow_alias_response.CreateContactFlowAliasResponse"
    ]:
        import capo_connect._operations.amazon_connect_service.create_contact_flow_alias

        (
            output,
            http_response,
        ) = await capo_connect._operations.amazon_connect_service.create_contact_flow_alias.async_create_contact_flow_alias(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("CreateContactFlowAlias")
    )
    input_: capo_connect.types.create_contact_flow_alias_request.CreateContactFlowAliasRequest = {
        "instance_id": instance_id,
        "contact_flow_id": contact_flow_id,
        "contact_flow_version": contact_flow_version,
        "alias_name": alias_name,
    }
    if description is not None:
        input_["description"] = description

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