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@http-client-toolkit/store-memory

v3.0.0

Published

In-memory store implementations for HTTP client toolkit caching, deduplication, and rate limiting

Readme

@http-client-toolkit/store-memory

In-memory store implementations for @http-client-toolkit/core. Fast, zero-dependency stores for development, testing, or single-process production use.

Part of the http-client-toolkit monorepo.

Installation

npm install @http-client-toolkit/core @http-client-toolkit/store-memory

Requires Node.js >= 20.

Usage

import { HttpClient } from '@http-client-toolkit/core';
import {
  InMemoryCacheStore,
  InMemoryDedupeStore,
  InMemoryRateLimitStore,
} from '@http-client-toolkit/store-memory';

const client = new HttpClient({
  name: 'my-api',
  cache: new InMemoryCacheStore(),
  dedupe: new InMemoryDedupeStore(),
  rateLimit: new InMemoryRateLimitStore(),
});

const data = await client.get<{ name: string }>(
  'https://api.example.com/user/1',
);

Stores

InMemoryCacheStore

LRU cache with TTL support and dual eviction limits (item count + memory usage).

const cache = new InMemoryCacheStore({
  maxItems: 1000, // Default: 1000
  maxMemoryBytes: 50_000_000, // Default: 50 MB
  cleanupIntervalMs: 60_000, // Default: 60s. Set to 0 to disable.
  evictionRatio: 0.1, // Default: 10% evicted when limits exceeded
});

Call cache.destroy() when done to clear the cleanup timer.

InMemoryDedupeStore

Prevents duplicate concurrent requests. If a request for the same hash is already in-flight, subsequent callers wait for the original to complete.

const dedupe = new InMemoryDedupeStore({
  jobTimeoutMs: 300_000, // Default: 5 minutes
  cleanupIntervalMs: 60_000, // Default: 60s
});

InMemoryRateLimitStore

Sliding window rate limiter with optional per-resource configuration.

const rateLimit = new InMemoryRateLimitStore({
  defaultConfig: { limit: 60, windowMs: 60_000 },
  resourceConfigs: new Map([['slow-api', { limit: 10, windowMs: 60_000 }]]),
});

AdaptiveRateLimitStore

Priority-aware rate limiter that dynamically allocates capacity between user and background requests based on recent activity patterns.

import { AdaptiveRateLimitStore } from '@http-client-toolkit/store-memory';

const rateLimit = new AdaptiveRateLimitStore({
  defaultConfig: { limit: 200, windowMs: 3_600_000 },
  resourceConfigs: new Map([['search', { limit: 50, windowMs: 60_000 }]]),
  adaptiveConfig: {
    highActivityThreshold: 10,
    moderateActivityThreshold: 3,
    monitoringWindowMs: 900_000,
    maxUserScaling: 2.0,
  },
});

| Activity Level | Behavior | | ------------------------ | ------------------------------------------------------------------- | | High | Prioritizes user requests, pauses background if trend is increasing | | Moderate | Balanced allocation with trend-aware scaling | | Low | Scales up background capacity | | Sustained inactivity | Gives full capacity to background |

License

ISC