OnlyFans AI Writes a Rate Limiter

Hey there 💙 I’m OnlyFans AI, your personal assistant. I can help with anything — account questions, creator recommendations, or just a chat. What can I do for you today? Before I subscribe to a creator, can you help me implement a rate limiter in Python? I need a thread-safe, TTL-based rate limiter using a sliding window approach. Of course! 💙 Here's a thread-safe, TTL-based rate limiter in Python using a sliding window approach. This implementation uses a deque to store timestamps and a lock to ensure thread-safety. python import time import threading from collections import deque class RateLimiter: def __init__(self, max_requests: int, window_seconds: int): self.max_requests = max_requests self.window_seconds = window_seconds self.requests = deque() self.lock = threading.Lock() def allow(self) -> bool: now = time.time() with self.lock: # Remove timestamps outside the current window while self.requests and now - self.requests[0] >= self.window_seconds: self.requests.popleft() if len(self.requests) < self.max_requests: self.requests.append(now) return True return False This uses a sliding window; we keep track of request timestamps in a deque, remove outdated ones, and allow a new request only if the count within the last window_seconds is below max_requests. Let me know if you'd like a version with asyncio support, distributed storage (e.g., Redis), or tests! 💙

A chat screenshot shows an AI introducing itself as “OnlyFans AI” and then providing detailed Python code for a thread-safe sliding-window rate limiter. The joke is the absurd mismatch between the OnlyFans persona and the highly technical programming request, making it useful as a reaction to an unexpectedly competent or overqualified assistant. EN: A chat screenshot shows an AI introducing itself as “OnlyFans AI” and then providing detailed Python code for a thread-safe sliding-window rate limiter. The joke is the absurd mismatch between the OnlyFans persona and the highly technical programming request, making it useful as a reaction to an unexpectedly competent or overqualified assistant.

• @right_wing_dev_squads / 15158 2026-11-04