list_flow_executions async ¶

async def list_flow_executions(
    self,
    flow_identifier: "capo_bedrock_agent_runtime.types.flow_identifier.FlowIdentifier",
    *,
    config_overrides: Optional[AsyncBedrockAgentRuntimeClientConfig] = None,
    flow_alias_identifier: Optional[
        "capo_bedrock_agent_runtime.types.flow_alias_identifier.FlowAliasIdentifier"
    ] = 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_executions_response.ListFlowExecutionsResponse":
    """<p>Lists all executions of a flow. Results can be paginated and include summary information about each execution, such as status, start and end times, and the execution's Amazon Resource Name (ARN).</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 to list executions for.</p>
        flow_alias_identifier: <p>The unique identifier of the flow alias to list executions for.</p>
        max_results: <p>The maximum number of flow executions to return in a single response. If more executions exist than the specified <code>maxResults</code> 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>

    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_executions_request.ListFlowExecutionsRequest]",
    ) -> AsyncOperationResponse[
        "capo_bedrock_agent_runtime.types.list_flow_executions_response.ListFlowExecutionsResponse"
    ]:
        import capo_bedrock_agent_runtime._operations.amazon_bedrock_agent_run_time_service.list_flow_executions

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

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("ListFlowExecutions")
    )
    input_: capo_bedrock_agent_runtime.types.list_flow_executions_request.ListFlowExecutionsRequest = {
        "flow_identifier": flow_identifier
    }
    if flow_alias_identifier is not None:
        input_["flow_alias_identifier"] = flow_alias_identifier
    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