list_flow_execution_events async ¶

async def list_flow_execution_events(
    self,
    flow_identifier: "capo_bedrock_agent_runtime.types.flow_identifier.FlowIdentifier",
    flow_alias_identifier: "capo_bedrock_agent_runtime.types.flow_alias_identifier.FlowAliasIdentifier",
    execution_identifier: "capo_bedrock_agent_runtime.types.flow_execution_identifier.FlowExecutionIdentifier",
    event_type: "capo_bedrock_agent_runtime.types.flow_execution_event_type.FlowExecutionEventType",
    *,
    config_overrides: Optional[AsyncBedrockAgentRuntimeClientConfig] = None,
    max_results: Optional[
        "capo_bedrock_agent_runtime.types.max_results.MaxResults"
    ] = None,
    next_token: Optional[
        "capo_bedrock_agent_runtime.types.next_token.NextToken"
    ] = None,
) -> "capo_bedrock_agent_runtime.types.list_flow_execution_events_response.ListFlowExecutionEventsResponse":
    """<p>Lists events that occurred during a flow execution. Events provide detailed information about the execution progress, including node inputs and outputs, flow inputs and outputs, condition results, and failure events.</p> <note> <p>Flow executions is in preview release for Amazon Bedrock and is subject to change.</p> </note>

    Args:
        flow_identifier: <p>The unique identifier of the flow.</p>
        flow_alias_identifier: <p>The unique identifier of the flow alias used for the execution.</p>
        execution_identifier: <p>The unique identifier of the flow execution.</p>
        max_results: <p>The maximum number of events to return in a single response. If more events exist than the specified maxResults value, a token is included in the response so that the remaining results can be retrieved.</p>
        next_token: <p>A token to retrieve the next set of results. This value is returned in the response if more results are available.</p>
        event_type: <p>The type of events to retrieve. Specify <code>Node</code> for node-level events or <code>Flow</code> for flow-level events.</p>

    Raises:
        capo_bedrock_agent_runtime.errors.access_denied_exception.AccessDeniedException: <p>The request is denied because of missing access permissions. Check your permissions and retry your request.</p>
        capo_bedrock_agent_runtime.errors.internal_server_exception.InternalServerException: <p>An internal server error occurred. Retry your request.</p>
        capo_bedrock_agent_runtime.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_runtime.errors.throttling_exception.ThrottlingException: <p>The number of requests exceeds the limit. Resubmit your request later.</p>
        capo_bedrock_agent_runtime.errors.validation_exception.ValidationException: <p>Input validation failed. Check your request parameters and retry the request.</p>
        capo_bedrock_agent_runtime.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_bedrock_agent_runtime.types.list_flow_execution_events_request.ListFlowExecutionEventsRequest]",
    ) -> AsyncOperationResponse[
        "capo_bedrock_agent_runtime.types.list_flow_execution_events_response.ListFlowExecutionEventsResponse"
    ]:
        import capo_bedrock_agent_runtime._operations.amazon_bedrock_agent_run_time_service.list_flow_execution_events

        (
            output,
            http_response,
        ) = await capo_bedrock_agent_runtime._operations.amazon_bedrock_agent_run_time_service.list_flow_execution_events.async_list_flow_execution_events(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    def _redact_output(
        output: "capo_bedrock_agent_runtime.types.list_flow_execution_events_response.ListFlowExecutionEventsResponse",
    ) -> dict[str, Any]:
        import capo_bedrock_agent_runtime.types.list_flow_execution_events_response

        return capo_bedrock_agent_runtime.types.list_flow_execution_events_response.redact_sensitive(
            output
        )

    interceptors_, options_ = self.operation_options(
        config_overrides,
        OperationLogging("ListFlowExecutionEvents", redact_output=_redact_output),
    )
    input_: capo_bedrock_agent_runtime.types.list_flow_execution_events_request.ListFlowExecutionEventsRequest = {
        "flow_identifier": flow_identifier,
        "flow_alias_identifier": flow_alias_identifier,
        "execution_identifier": execution_identifier,
        "event_type": event_type,
    }
    if max_results is not None:
        input_["max_results"] = max_results
    if next_token is not None:
        input_["next_token"] = next_token

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