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@klarlabs-studio/fortify-hedge

v0.1.0

Published

Hedged-request execution for tail-latency reduction in Fortify

Readme

@klarlabs-studio/fortify-hedge

Hedged-request (tail-latency reduction) pattern for the Fortify-TS resilience library.

Mirrors the Go fortify/hedge package.

Installation

npm install @klarlabs-studio/fortify-hedge
# or
pnpm add @klarlabs-studio/fortify-hedge

How it works

The primary attempt fires immediately. If it has not returned within hedgeDelay, a second attempt is fired in parallel — and optionally a third, fourth, ... — up to maxAttempts. The first successful result wins and the remaining in-flight attempts are cancelled via their AbortSignal. If every attempt fails, the first error is returned.

Idempotency required. Multiple attempts may run to completion before cancellation propagates, so each attempt's side effects must be safe to repeat. Use hedging only on idempotent operations.

Usage

import { Hedge } from '@klarlabs-studio/fortify-hedge';

const hedge = new Hedge<Response>({
  maxAttempts: 3, // total parallel attempts including the primary (1 disables hedging, max 16)
  hedgeDelay: 50, // ms to wait before firing each subsequent attempt
  onHedge: (attempt) => console.log(`hedge attempt ${attempt} fired`),
});

const result = await hedge.execute(async (signal) => {
  return fetch('/api/data', { signal });
});

Configuration

| Option | Type | Default | Description | | ------------- | ----------------------------- | ------- | ------------------------------------------------------------------ | | maxAttempts | number | 2 | Total parallel attempts including the primary. 1 disables. Max 16. | | hedgeDelay | number | 100 | Milliseconds to wait before firing the next hedge attempt. | | onHedge | (attempt: number) => void | — | Called when a hedge attempt fires, with its 1-based index. | | logger | FortifyLogger | — | Structured logger for hedge events. |

Composition

Use with the middleware chain via chain.withHedge(hedge). Place hedge innermost (closest to the operation) so it multiplies only the operation itself, not the surrounding patterns.

License

MIT