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lokalise-rate-limits

Implement Lokalise rate limiting, backoff, and request queuing patterns. Use when handling rate limit errors, implementing retry logic, or optimizing API request throughput for Lokalise. Trigger with phrases like "lokalise rate limit", "lokalise throttling", "lokalise 429", "lokalise retry", "lokalise backoff". allowed-tools: Read, Write, Edit version: 1.0.0 license: MIT author: Jeremy Longshore <jeremy@intentsolutions.io>

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Provided by Plugin

lokalise-pack

Claude Code skill pack for Lokalise (24 skills)

saas packs v1.0.0
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Installation

This skill is included in the lokalise-pack plugin:

/plugin install lokalise-pack@claude-code-plugins-plus

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Instructions

# Lokalise Rate Limits ## Overview Handle Lokalise rate limits gracefully with request queuing, exponential backoff, and monitoring. ## Prerequisites - Lokalise SDK installed - Understanding of async/await patterns - Access to rate limit headers ## Rate Limit Specifications ### Current Limits (2025) | Limit Type | Value | Scope | |------------|-------|-------| | Requests per second | 6 | Per API token + IP | | Concurrent requests | 10 | Per project | | Concurrent per token | 1 | Per token (data consistency) | | Keys per list request | 500 | Per request | | Keys per bulk create | 500 | Per request | ### Rate Limit Headers ``` X-RateLimit-Limit: 6 X-RateLimit-Remaining: 5 X-RateLimit-Reset: 1640000000 ``` ## Instructions ### Step 1: Implement Request Queue ```typescript import PQueue from "p-queue"; // Lokalise: 6 req/sec, 10 concurrent per project const queue = new PQueue({ concurrency: 5, // Conservative concurrent limit interval: 1000, // 1 second intervalCap: 5, // Max 5 per second (leave headroom) carryoverConcurrencyCount: true, }); export async function queuedRequest( operation: () => Promise ): Promise { return queue.add(operation) as Promise; } // Track queue status queue.on("active", () => { console.log(`Queue: ${queue.size} waiting, ${queue.pending} running`); }); ``` ### Step 2: Add Exponential Backoff with Jitter ```typescript interface BackoffConfig { maxRetries: number; baseDelayMs: number; maxDelayMs: number; jitterMs: number; } const defaultConfig: BackoffConfig = { maxRetries: 5, baseDelayMs: 1000, maxDelayMs: 32000, jitterMs: 500, }; export async function withExponentialBackoff( operation: () => Promise, config = defaultConfig ): Promise { for (let attempt = 0; attempt <= config.maxRetries; attempt++) { try { return await operation(); } catch (error: any) { // Only retry on rate limits and server errors const isRetryable = error.code === 429 || (error.code >= 500 && error.code < 600); if (!isRetryable || attempt === config.maxRetries) { throw error; } // Calculate delay with exponential backoff + jitter const exponentialDelay = config.baseDelayMs * Math.pow(2, attempt); const jitter = Math.random() * config.jitterMs; const delay = Math.min(exponentialDelay + jitter, config.maxDelayMs); // Check Retry-After header if available const retryAfter = error.headers?.["retry-after"]; const actualDelay = retryAfter ? parseInt(retryAfter) * 1000 : delay; console.log(`Rate limited. Retry ${attempt + 1}/${config.maxRetries} in ${actualDelay}ms`); await new Promise(r => setTimeout(r, actualDelay)); } } throw new Error("Unreachable"); } ``` ### Step 3: Create Rate-Aware Client Wrapper ```typescript import { LokaliseApi, ApiError } from "@lokalise/node-api"; export class RateLimitedLokaliseClient { private client: LokaliseApi; private queue: PQueue; private rateLimitRemaining = 6; private rateLimitReset = 0; constructor(apiKey: string) { this.client = new LokaliseApi({ apiKey }); this.queue = new PQueue({ concurrency: 5, interval: 1000, intervalCap: 5, }); } async request(operation: () => Promise): Promise { // Proactive throttle if low on quota if (this.shouldThrottle()) { const waitTime = this.getWaitTime(); console.log(`Proactive throttle: waiting ${waitTime}ms`); await new Promise(r => setTimeout(r, waitTime)); } return this.queue.add(() => withExponentialBackoff(async () => { try { const result = await operation(); // Update rate limit info from response headers if available return result; } catch (error: any) { this.updateRateLimitFromError(error); throw error; } }) ) as Promise; } private shouldThrottle(): boolean { return this.rateLimitRemaining < 2 && Date.now() < this.rateLimitReset; } private getWaitTime(): number { return Math.max(0, this.rateLimitReset - Date.now()); } private updateRateLimitFromError(error: any) { if (error.code === 429) { this.rateLimitRemaining = 0; this.rateLimitReset = Date.now() + 1000; } } // Expose underlying client methods through wrapper projects() { return { list: () => this.request(() => this.client.projects().list()), get: (id: string) => this.request(() => this.client.projects().get(id)), }; } keys() { return { list: (params: any) => this.request(() => this.client.keys().list(params)), create: (params: any) => this.request(() => this.client.keys().create(params)), }; } } ``` ### Step 4: Implement Batch Processing ```typescript async function batchProcess( items: T[], operation: (item: T) => Promise, batchSize = 100 ): Promise { const results: R[] = []; for (let i = 0; i < items.length; i += batchSize) { const batch = items.slice(i, i + batchSize); // Process batch in parallel (respecting queue limits) const batchResults = await Promise.all( batch.map(item => queuedRequest(() => operation(item))) ); results.push(...batchResults); // Progress logging console.log(`Processed ${Math.min(i + batchSize, items.length)}/${items.length}`); } return results; } ``` ## Output - Request queue respecting 6 req/sec limit - Automatic retry with exponential backoff - Proactive throttling when quota low - Batch processing for large operations ## Error Handling | Header | Description | Action | |--------|-------------|--------| | X-RateLimit-Limit | Max requests per window | Monitor usage | | X-RateLimit-Remaining | Remaining requests | Throttle if low | | X-RateLimit-Reset | Unix timestamp of reset | Wait until reset | | Retry-After | Seconds to wait (on 429) | Honor this value | ## Examples ### CLI with Rate Limiting ```bash #!/bin/bash # Respect rate limits in shell scripts lokalise_request() { local result result=$(lokalise2 "$@" 2>&1) local exit_code=$? if echo "$result" | grep -q "429"; then echo "Rate limited, waiting 2 seconds..." sleep 2 lokalise_request "$@" else echo "$result" return $exit_code fi } # Use the wrapper lokalise_request --token "$TOKEN" project list ``` ### Monitor Rate Limit Usage ```typescript class RateLimitMonitor { private requests: number[] = []; private readonly windowMs = 1000; private readonly limit = 6; track() { const now = Date.now(); this.requests = this.requests.filter(t => now - t < this.windowMs); this.requests.push(now); } getCurrentRate(): number { const now = Date.now(); return this.requests.filter(t => now - t < this.windowMs).length; } shouldWait(): boolean { return this.getCurrentRate() >= this.limit; } getStats() { return { currentRate: this.getCurrentRate(), limit: this.limit, utilizationPercent: (this.getCurrentRate() / this.limit) * 100, }; } } ``` ### Bulk Operations with Progress ```typescript async function bulkCreateKeys( projectId: string, keys: any[], onProgress?: (completed: number, total: number) => void ) { const client = new RateLimitedLokaliseClient(process.env.LOKALISE_API_TOKEN!); const batchSize = 100; // Stay under 500 limit with margin const results: any[] = []; for (let i = 0; i < keys.length; i += batchSize) { const batch = keys.slice(i, i + batchSize); const result = await client.keys().create({ project_id: projectId, keys: batch, }); results.push(...result.items); onProgress?.(Math.min(i + batchSize, keys.length), keys.length); // Small delay between batches await new Promise(r => setTimeout(r, 200)); } return results; } ``` ## Resources - [Lokalise Rate Limits](https://developers.lokalise.com/reference/api-rate-limits) - [p-queue Documentation](https://github.com/sindresorhus/p-queue) ## Next Steps For security configuration, see `lokalise-security-basics`.

Skill file: plugins/saas-packs/lokalise-pack/skills/lokalise-rate-limits/SKILL.md