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lindy-rate-limits
by jeremylongshore
Hundreds of Claude Code plugins with embedded AI skills. Learn via interactive Jupyter tutorials.
⭐ 1,042🍴 135📅 Jan 23, 2026
SKILL.md
name: lindy-rate-limits description: | Manage and optimize Lindy AI rate limits. Use when hitting rate limits, optimizing API usage, or implementing rate limit handling. Trigger with phrases like "lindy rate limit", "lindy quota", "lindy throttling", "lindy API limits". allowed-tools: Read, Write, Edit version: 1.0.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io
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
| Resource | Limit | Window |
|---|---|---|
| API Requests | 100/min | Rolling |
| Agent Runs | 50/day | Daily |
| Concurrent Runs | 2 | Instant |
Pro Tier
| Resource | Limit | Window |
|---|---|---|
| API Requests | 1000/min | Rolling |
| Agent Runs | 1000/day | Daily |
| Concurrent Runs | 10 | Instant |
Enterprise
| Resource | Limit | Window |
|---|---|---|
| API Requests | Custom | Rolling |
| Agent Runs | Unlimited | - |
| Concurrent Runs | 100+ | Instant |
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
| Scenario | Strategy | Code |
|---|---|---|
| Near limit | Slow down | Reduce request rate |
| Hit limit | Wait | Respect Retry-After |
| Burst | Queue | Implement request queue |
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
Next Steps
Proceed to lindy-security-basics for security configuration.
Score
Total Score
85/100
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