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Rate Limiter API Reference
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createAsyncRateLimiter

Function: createAsyncRateLimiter()

ts
function createAsyncRateLimiter<TFn>(fn, initialOptions): SolidAsyncRateLimiter<TFn>
function createAsyncRateLimiter<TFn>(fn, initialOptions): SolidAsyncRateLimiter<TFn>

Defined in: async-rate-limiter/createAsyncRateLimiter.ts:88

A low-level Solid hook that creates an AsyncRateLimiter instance to limit how many times an async function can execute within a time window.

This hook is designed to be flexible and state-management agnostic - it simply returns a rate limiter instance that you can integrate with any state management solution (createSignal, etc).

Rate limiting is a simple approach that allows a function to execute up to a limit within a time window, then blocks all subsequent calls until the window passes. This can lead to "bursty" behavior where all executions happen immediately, followed by a complete block.

The rate limiter supports two types of windows:

  • 'fixed': A strict window that resets after the window period. All executions within the window count towards the limit, and the window resets completely after the period.
  • 'sliding': A rolling window that allows executions as old ones expire. This provides a more consistent rate of execution over time.

Unlike the non-async RateLimiter, this async version supports returning values from the rate-limited function, making it ideal for API calls and other async operations where you want the result of the maybeExecute call instead of setting the result on a state variable from within the rate-limited function.

For smoother execution patterns, consider using:

  • Throttling: Ensures consistent spacing between executions (e.g. max once per 200ms)
  • Debouncing: Waits for a pause in calls before executing (e.g. after 500ms of no calls)

Rate limiting is best used for hard API limits or resource constraints. For UI updates or smoothing out frequent events, throttling or debouncing usually provide better user experience.

Error Handling:

  • If an onError handler is provided, it will be called with the error and rate limiter instance
  • If throwOnError is true (default when no onError handler is provided), the error will be thrown
  • If throwOnError is false (default when onError handler is provided), the error will be swallowed
  • Both onError and throwOnError can be used together - the handler will be called before any error is thrown
  • The error state can be checked using the underlying AsyncRateLimiter instance
  • Rate limit rejections (when limit is exceeded) are handled separately from execution errors via the onReject handler

Type Parameters

TFn extends AnyAsyncFunction

Parameters

fn

TFn

initialOptions

AsyncRateLimiterOptions<TFn>

Returns

SolidAsyncRateLimiter<TFn>

Example

tsx
// Basic API call rate limiting with return value
const { maybeExecute } = createAsyncRateLimiter(
  async (id: string) => {
    const data = await api.fetchData(id);
    return data; // Return value is preserved
  },
  { limit: 5, window: 1000 } // 5 calls per second
);

// With state management and return value
const [data, setData] = createSignal(null);
const { maybeExecute } = createAsyncRateLimiter(
  async (query) => {
    const result = await searchAPI(query);
    setData(result);
    return result; // Return value can be used by the caller
  },
  {
    limit: 10,
    window: 60000, // 10 calls per minute
    onReject: (info) => console.log(`Rate limit exceeded: ${info.nextValidTime - Date.now()}ms until next window`)
  }
);
// Basic API call rate limiting with return value
const { maybeExecute } = createAsyncRateLimiter(
  async (id: string) => {
    const data = await api.fetchData(id);
    return data; // Return value is preserved
  },
  { limit: 5, window: 1000 } // 5 calls per second
);

// With state management and return value
const [data, setData] = createSignal(null);
const { maybeExecute } = createAsyncRateLimiter(
  async (query) => {
    const result = await searchAPI(query);
    setData(result);
    return result; // Return value can be used by the caller
  },
  {
    limit: 10,
    window: 60000, // 10 calls per minute
    onReject: (info) => console.log(`Rate limit exceeded: ${info.nextValidTime - Date.now()}ms until next window`)
  }
);
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