Subscription & Billing

import time
import requests

def make_request_with_retry(url, headers, data, max_retries=5):
    for attempt in range(max_retries):
        response = requests.post(url, headers=headers, json=data)
        
        if response.status_code == 429:
            wait_time = 2 ** attempt  # Exponential backoff
            print(f"Rate limited. Waiting {wait_time}s...")
            time.sleep(wait_time)
            continue
        
        return response
    
    raise Exception("Max retries exceeded")

def monitor_rate_limits(response):
    remaining = int(response.headers.get('X-RateLimit-Remaining', 0))
    
    if remaining < 10:
        print(f"Warning: Only {remaining} requests remaining!")
    
    if remaining == 0:
        reset_time = int(response.headers.get('X-RateLimit-Reset', 0))
        wait_seconds = reset_time - time.time()
        print(f"Rate limit exhausted. Waiting {wait_seconds}s")
        time.sleep(wait_seconds)

from functools import lru_cache
import hashlib
import json

@lru_cache(maxsize=1000)
def cached_api_call(prompt_hash):
    # Make actual API call
    response = requests.post(...)
    return response.json()

def get_completion(prompt):
    # Create hash of prompt for caching
    prompt_hash = hashlib.md5(prompt.encode()).hexdigest()
    return cached_api_call(prompt_hash)

# Instead of 100 individual requests
for item in items:
    result = api_call(item)

# Batch into fewer requests with multiple items
for batch in chunks(items, 10):
    results = api_call_batch(batch)