Automated summary
This skill provides TypeScript patterns for handling Windsurf API rate limits: exponential backoff with jitter, idempotency keys, request queuing, and quota header monitoring.
Strengths
- Ships working code for exponential backoff with jitter, avoiding thundering-herd retries
- Explains deterministic idempotency key generation (SHA-256 of operation params) so retries stay safe
- Clear table of rate limit headers (Limit, Remaining, Reset, Retry-After) with the action to take for each
- Demonstrates client-side throttling with a p-queue configured by concurrency and interval cap
Limitations
- Tier numbers (60/300/1000 req/min, daily quotas, burst) are hardcoded and may drift from Windsurf's real limits
- Assumes the SDK exposes X-RateLimit-* headers and a WindsurfClient-shaped client, which is not verified
- The file is truncated (RateLimitMonitor cuts off mid-method) and no tests are included
Use it when integrating the Windsurf API and you need to handle 429 errors, add reliable retries, or smooth request throughput.
Skip it if you need a provider-agnostic rate limiting solution or a configuration validated against Windsurf's current official documentation.
Security analysis
SafeThe skill only contains documentation and TypeScript examples for retry, backoff, and idempotency. It declares Read, Write, Edit and does not instruct destructive, exfiltrating, obfuscated, or safety-disabling actions.
No concerns found
How this analysis is madeExamples
My Windsurf API calls keep failing with 429s under load. Add exponential backoff with jitter and honor the Retry-After header in my client wrapper.Implement deterministic idempotency keys for my Windsurf POST requests so that retried calls don't create duplicates.Set up a queued rate limiter around my Windsurf SDK calls with concurrency 5 and max 10 requests per second, and log the X-RateLimit-Remaining value.name: windsurf-rate-limits description: | Implement Windsurf rate limiting, backoff, and idempotency patterns. Use when handling rate limit errors, implementing retry logic, or optimizing API request throughput for Windsurf. Trigger with phrases like "windsurf rate limit", "windsurf throttling", "windsurf 429", "windsurf retry", "windsurf backoff". allowed-tools: Read, Write, Edit version: 1.0.0 license: MIT author: Jeremy Longshore jeremy@intentsolutions.io
Windsurf Rate Limits
Overview
Handle Windsurf rate limits gracefully with exponential backoff and idempotency.
Prerequisites
- Windsurf SDK installed
- Understanding of async/await patterns
- Access to rate limit headers
Instructions
Step 1: Understand Rate Limit Tiers
| Tier | Requests/min | Requests/day | Burst | |------|-------------|--------------|-------| | Free | 60 | 1,000 | 10 | | Pro | 300 | 10,000 | 50 | | Enterprise | 1,000 | 100,000 | 200 |
Step 2: Implement Exponential Backoff with Jitter
async function withExponentialBackoff<T>(
operation: () => Promise<T>,
config = { maxRetries: 5, baseDelayMs: 1000, maxDelayMs: 32000, jitterMs: 500 }
): Promise<T> {
for (let attempt = 0; attempt <= config.maxRetries; attempt++) {
try {
return await operation();
} catch (error: any) {
if (attempt === config.maxRetries) throw error;
const status = error.status || error.response?.status;
if (status !== 429 && (status < 500 || status >= 600)) throw error;
// Exponential delay with jitter to prevent thundering herd
const exponentialDelay = config.baseDelayMs * Math.pow(2, attempt);
const jitter = Math.random() * config.jitterMs;
const delay = Math.min(exponentialDelay + jitter, config.maxDelayMs);
console.log(`Rate limited. Retrying in ${delay.toFixed(0)}ms...`);
await new Promise(r => setTimeout(r, delay));
}
}
throw new Error('Unreachable');
}
Step 3: Add Idempotency Keys
import { v4 as uuidv4 } from 'uuid';
import crypto from 'crypto';
// Generate deterministic key from operation params (for safe retries)
function generateIdempotencyKey(operation: string, params: Record<string, any>): string {
const data = JSON.stringify({ operation, params });
return crypto.createHash('sha256').update(data).digest('hex');
}
async function idempotentRequest<T>(
client: WindsurfClient,
params: Record<string, any>,
idempotencyKey?: string // Pass existing key for retries
): Promise<T> {
// Use provided key (for retries) or generate deterministic key from params
const key = idempotencyKey || generateIdempotencyKey(params.method || 'POST', params);
return client.request({
...params,
headers: { 'Idempotency-Key': key, ...params.headers },
});
}
Output
- Reliable API calls with automatic retry
- Idempotent requests preventing duplicates
- Rate limit headers properly handled
Error Handling
| Header | Description | Action | |--------|-------------|--------| | X-RateLimit-Limit | Max requests | Monitor usage | | X-RateLimit-Remaining | Remaining requests | Throttle if low | | X-RateLimit-Reset | Reset timestamp | Wait until reset | | Retry-After | Seconds to wait | Honor this value |
Examples
Queue-Based Rate Limiting
import PQueue from 'p-queue';
const queue = new PQueue({
concurrency: 5,
interval: 1000,
intervalCap: 10,
});
async function queuedRequest<T>(operation: () => Promise<T>): Promise<T> {
return queue.add(operation);
}
Monitor Rate Limit Usage
class RateLimitMonitor {
private remaining: number = 60;
private resetAt: Date = new Date();
updateFromHeaders(headers: Headers) {
this.remaining = parseInt(headers.get('X-RateLimit-Remaining') || '60');
const resetTimestamp = headers.get('X-RateLimit-Reset');
if (resetTimestamp) {
this.resetAt = new Date(parseInt(resetTimestamp) * 1000);
}
}
shouldThrottle(): boolean {
// Only throttle if low remaining AND reset hasn't happened yet
return this.remaining < 5 && new Date() < this.resetAt;
}
getWaitTime(): number {
return Math.max(0, this.resetAt.getTime() - Date.now());
}
}
Resources
Next Steps
For security configuration, see windsurf-security-basics.
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Tools declared by the author (check availability in your agent): Read, Write, Edit
Original excerpt: Prerequisites
- Windsurf SDK installed
- Understanding of async/await patterns
- Access to rate limit headers
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Claude Code
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