list_gateway_targets async ¶

async def list_gateway_targets(
    self,
    gateway_identifier: "capo_bedrock_agentcore_control.types.gateway_identifier.GatewayIdentifier",
    *,
    config_overrides: Optional[AsyncBedrockAgentCoreControlClientConfig] = None,
    max_results: Optional[
        "capo_bedrock_agentcore_control.types.target_max_results.TargetMaxResults"
    ] = None,
    next_token: Optional[
        "capo_bedrock_agentcore_control.types.target_next_token.TargetNextToken"
    ] = None,
) -> "capo_bedrock_agentcore_control.types.list_gateway_targets_response.ListGatewayTargetsResponse":
    """<p>Lists all targets for a specific gateway.</p>

    Args:
        gateway_identifier: <p>The identifier of the gateway to list targets for.</p>
        max_results: <p>The maximum number of results to return in the response. If the total number of results is greater than this value, use the token returned in the response in the <code>nextToken</code> field when making another request to return the next batch of results.</p>
        next_token: <p>If the total number of results is greater than the <code>maxResults</code> value provided in the request, enter the token returned in the <code>nextToken</code> field in the response in this field to return the next batch of results.</p>

    Raises:
        capo_bedrock_agentcore_control.errors.access_denied_exception.AccessDeniedException: <p>This exception is thrown when a request is denied per access permissions</p>
        capo_bedrock_agentcore_control.errors.internal_server_exception.InternalServerException: <p>This exception is thrown if there was an unexpected error during processing of request</p>
        capo_bedrock_agentcore_control.errors.resource_not_found_exception.ResourceNotFoundException: <p>This exception is thrown when a resource referenced by the operation does not exist</p>
        capo_bedrock_agentcore_control.errors.throttling_exception.ThrottlingException: <p>This exception is thrown when the number of requests exceeds the limit</p>
        capo_bedrock_agentcore_control.errors.validation_exception.ValidationException: <p>The input fails to satisfy the constraints specified by the service.</p>
        capo_bedrock_agentcore_control.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    async def _handler(
        req: "AsyncOperationRequest[capo_bedrock_agentcore_control.types.list_gateway_targets_request.ListGatewayTargetsRequest]",
    ) -> AsyncOperationResponse[
        "capo_bedrock_agentcore_control.types.list_gateway_targets_response.ListGatewayTargetsResponse"
    ]:
        import capo_bedrock_agentcore_control._operations.amazon_bedrock_agent_core_control.list_gateway_targets

        (
            output,
            http_response,
        ) = await capo_bedrock_agentcore_control._operations.amazon_bedrock_agent_core_control.list_gateway_targets.async_list_gateway_targets(
            req.options, req.input
        )
        return AsyncOperationResponse(output=output, response=http_response)

    def _redact_output(
        output: "capo_bedrock_agentcore_control.types.list_gateway_targets_response.ListGatewayTargetsResponse",
    ) -> dict[str, Any]:
        import capo_bedrock_agentcore_control.types.list_gateway_targets_response

        return capo_bedrock_agentcore_control.types.list_gateway_targets_response.redact_sensitive(
            output
        )

    interceptors_, options_ = self.operation_options(
        config_overrides,
        OperationLogging("ListGatewayTargets", redact_output=_redact_output),
    )
    input_: capo_bedrock_agentcore_control.types.list_gateway_targets_request.ListGatewayTargetsRequest = {
        "gateway_identifier": gateway_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