A FlowExecutor has await(): RT to enable the parent flow to await its result. Here’s an example: 
class Main {
	hello() {
		const flow = std.flow<Main>("Print!", this).world("Hello");
		this.print(flow);
	}

	world(arg: string) {
		return `${arg} World!`;
	}

	print(flow: std.FlowExecutor<string, Main['world']>) {
		const result = flow.await(); // We can 'await' a flow and get its result.
		std.log(result);
	}
}
The line const result = flow.await(); will make the currently executing flow suspend until the awaited flow is complete.
This is similar to async/await features that exist in other languages.
If you await a flow, it will count as calling that method(FlowFunction) and hence an edge would be rendered.Try playing with run() and await() and see how the playground changes!

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Awaiting multiple flows

In real systems, you are often awaiting multiple things simultaneously, or racing them together. That’s exactly why we have std.awaitAll() and std.awaitRace().

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std.awaitAll

This is the equivalent of JavaScript’s Promise.all. It takes an array of FlowExecutor and returns an array corresponding to results of given FlowExecutors. For example: 
const result = std.awaitAll([
	flow1,
	flow2,
	flow3,
]);

std.log(result);
// Assuming all the flows returned 42. The above statement would log [42,42,42]

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std.awaitRace

This is the equivalent of JavaScript’s Promise.race. It also takes an array of FlowExecutor but returns a single value corresponding to the flow which completed first. If a flow wins the race, the remaining flows are cancelled. For example: 
const result = std.awaitRace([
	flow1,
	flow2,
	flow3,
]);

std.log(result);
// Assuming all the flows return 42, and flow3 completed first.
// The above statement would log 42
Here’s how it looks like in action:
You can play with the code here.
We have one last mechanism left, events. The tried and tested method for asynchronousity. Let’s cover that in next section!