create_flow_version ¶

def create_flow_version(
    self,
    flow_identifier: "capo_bedrock_agent.types.flow_identifier.FlowIdentifier",
    *,
    config_overrides: Optional[BedrockAgentClientConfig] = None,
    description: Optional[
        "capo_bedrock_agent.types.flow_description.FlowDescription"
    ] = None,
    client_token: Optional[
        "capo_bedrock_agent.types.client_token.ClientToken"
    ] = None,
) -> "capo_bedrock_agent.types.create_flow_version_response.CreateFlowVersionResponse":
    """<p>Creates a version of the flow that you can deploy. For more information, see <a href="https://docs.aws.amazon.com/bedrock/latest/userguide/flows-deploy.html">Deploy a flow in Amazon Bedrock</a> in the Amazon Bedrock User Guide.</p>

    Args:
        flow_identifier: <p>The unique identifier of the flow that you want to create a version of.</p>
        description: <p>A description of the version of the flow.</p>
        client_token: <p>A unique, case-sensitive identifier to ensure that the API request completes no more than one time. If this token matches a previous request, Amazon Bedrock ignores the request, but does not return an error. For more information, see <a href="https://docs.aws.amazon.com/AWSEC2/latest/APIReference/Run_Instance_Idempotency.html">Ensuring idempotency</a>.</p>

    Raises:
        capo_bedrock_agent.errors.access_denied_exception.AccessDeniedException: <p>The request is denied because of missing access permissions.</p>
        capo_bedrock_agent.errors.conflict_exception.ConflictException: <p>There was a conflict performing an operation.</p>
        capo_bedrock_agent.errors.internal_server_exception.InternalServerException: <p>An internal server error occurred. Retry your request.</p>
        capo_bedrock_agent.errors.resource_not_found_exception.ResourceNotFoundException: <p>The specified resource Amazon Resource Name (ARN) was not found. Check the Amazon Resource Name (ARN) and try your request again.</p>
        capo_bedrock_agent.errors.service_quota_exceeded_exception.ServiceQuotaExceededException: <p>The number of requests exceeds the service quota. Resubmit your request later.</p>
        capo_bedrock_agent.errors.throttling_exception.ThrottlingException: <p>The number of requests exceeds the limit. Resubmit your request later.</p>
        capo_bedrock_agent.errors.validation_exception.ValidationException: <p>Input validation failed. Check your request parameters and retry the request.</p>
        capo_bedrock_agent.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_bedrock_agent.types.create_flow_version_request.CreateFlowVersionRequest]",
    ) -> OperationResponse[
        "capo_bedrock_agent.types.create_flow_version_response.CreateFlowVersionResponse"
    ]:
        import capo_bedrock_agent._operations.amazon_bedrock_agent_build_time_lambda.create_flow_version

        output, http_response = (
            capo_bedrock_agent._operations.amazon_bedrock_agent_build_time_lambda.create_flow_version.create_flow_version(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    def _redact_output(
        output: "capo_bedrock_agent.types.create_flow_version_response.CreateFlowVersionResponse",
    ) -> dict[str, Any]:
        import capo_bedrock_agent.types.create_flow_version_response

        return (
            capo_bedrock_agent.types.create_flow_version_response.redact_sensitive(
                output
            )
        )

    interceptors_, options_ = self.operation_options(
        config_overrides,
        OperationLogging("CreateFlowVersion", redact_output=_redact_output),
    )
    input_: capo_bedrock_agent.types.create_flow_version_request.CreateFlowVersionRequest = {
        "flow_identifier": flow_identifier
    }
    if description is not None:
        input_["description"] = description
    if client_token is None:
        client_token = str(uuid.uuid4())
    input_["client_token"] = client_token

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