Lindy Rate Limits

Overview

Comprehensive guide to understanding and managing Lindy API rate limits.

Prerequisites

• Lindy SDK installed
• Understanding of your plan's limits
• Access to usage dashboard

Rate Limit Tiers

Free Tier

Pro Tier

Enterprise

Instructions

Step 1: Check Current Usage

import { Lindy } from '@lindy-ai/sdk';

const lindy = new Lindy({ apiKey: process.env.LINDY_API_KEY });

async function checkUsage() {
  const usage = await lindy.usage.current();

  console.log('Current Usage:');
  console.log(`  API Requests: ${usage.apiRequests.used}/${usage.apiRequests.limit}`);
  console.log(`  Agent Runs: ${usage.agentRuns.used}/${usage.agentRuns.limit}`);
  console.log(`  Concurrent: ${usage.concurrent.active}/${usage.concurrent.limit}`);

  return usage;
}

Step 2: Implement Rate Limiter

class RateLimiter {
  private tokens: number;
  private lastRefill: number;
  private readonly maxTokens: number;
  private readonly refillRate: number; // tokens per second

  constructor(maxTokens: number, refillRate: number) {
    this.maxTokens = maxTokens;
    this.tokens = maxTokens;
    this.refillRate = refillRate;
    this.lastRefill = Date.now();
  }

  async acquire(): Promise<void> {
    this.refill();

    if (this.tokens < 1) {
      const waitTime = (1 - this.tokens) / this.refillRate * 1000;
      await new Promise(r => setTimeout(r, waitTime));
      this.refill();
    }

    this.tokens -= 1;
  }

  private refill(): void {
    const now = Date.now();
    const elapsed = (now - this.lastRefill) / 1000;
    this.tokens = Math.min(this.maxTokens, this.tokens + elapsed * this.refillRate);
    this.lastRefill = now;
  }
}

// Usage: 100 requests per minute
const limiter = new RateLimiter(100, 100 / 60);

async function rateLimitedRequest<T>(fn: () => Promise<T>): Promise<T> {
  await limiter.acquire();
  return fn();
}

Step 3: Handle Rate Limit Errors

async function withRetryOnRateLimit<T>(
  fn: () => Promise<T>,
  maxRetries = 5
): Promise<T> {
  for (let attempt = 0; attempt < maxRetries; attempt++) {
    try {
      return await fn();
    } catch (error: any) {
      if (error.code === 'LINDY_RATE_LIMITED') {
        const retryAfter = error.retryAfter || Math.pow(2, attempt);
        console.log(`Rate limited. Retrying in ${retryAfter}s...`);
        await new Promise(r => setTimeout(r, retryAfter * 1000));
        continue;
      }
      throw error;
    }
  }
  throw new Error('Max retries exceeded');
}

Output

• Usage monitoring implementation
• Client-side rate limiter
• Retry logic for rate limit errors
• Optimized API usage patterns

Error Handling

Examples

Queue-Based Rate Limiting

class RequestQueue {
  private queue: Array<() => Promise<void>> = [];
  private processing = false;
  private requestsThisMinute = 0;
  private lastMinuteStart = Date.now();

  async enqueue<T>(fn: () => Promise<T>): Promise<T> {
    return new Promise((resolve, reject) => {
      this.queue.push(async () => {
        try {
          resolve(await fn());
        } catch (e) {
          reject(e);
        }
      });
      this.processQueue();
    });
  }

  private async processQueue(): Promise<void> {
    if (this.processing) return;
    this.processing = true;

    while (this.queue.length > 0) {
      if (Date.now() - this.lastMinuteStart > 60000) {
        this.requestsThisMinute = 0;
        this.lastMinuteStart = Date.now();
      }

      if (this.requestsThisMinute >= 100) {
        await new Promise(r => setTimeout(r, 1000));
        continue;
      }

      const request = this.queue.shift()!;
      this.requestsThisMinute++;
      await request();
    }

    this.processing = false;
  }
}

Resources

• Lindy Rate Limits
• Usage Dashboard
• Upgrade Plans

Next Steps

Proceed to lindy-security-basics for security configuration.