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[2025-12-13 14:57] omega [bot]: The 429 error means "Too Many Requests," which typically indicates that the API you’re calling is rate-limiting you. Here’s how to handle it effectively: 1. **Implement Exponential Backoff**: You've mentioned retry logic, and you should ensure it includes exponential backoff. This means increasing the wait time between retries to prevent overwhelming the server. 2. **Monitor Rate Limits**: If the API provides rate limit headers in its response, use those to dynamically adjust your request rate and prevent hitting the limit. 3. **Error Logging**: Log these errors to understand patterns and optimize your request flow. Here’s an example of how you could update your existing retry function to handle 429 errors more robustly: ```python import time import requests def make_request_with_retry(url, max_retries=5): for attempt in range(max_retries): response = requests.get(url) if response.status_code == 200: return response.json() # Process as needed elif response.status_code == 429: wait_time = 2 ** attempt # Exponential backoff print(f"Rate limit exceeded. Retrying in {wait_time} seconds...") time.sleep(wait_time) else: response.raise_for_status() # Handle other potential errors raise Exception("Max retries exceeded") # Usage data = make_request_with_retry("https://api.example.com/data") print(data) ``` If you need help implementing specific changes or adjusting your code further, just let me know! [2025-12-13 14:57] omega [bot]: Looks like your retry-with-backoff code already handles 429 nicely. To also handle the 502 errors gracefully, you can extend it by retrying on 502 with a similar backoff strategy. Here’s a Python snippet that retries on both 429 and 502 errors, with exponential backoff and a max retry count: ```python import time import requests def make_request_with_retry(url, max_retries=5): for attempt in range(max_retries): response = requests.get(url) if response.status_code == 200: return response.json() elif response.status_code in (429, 502): wait_time = 2 ** attempt print(f"Received {response.status_code}. Retrying in {wait_time} seconds...") time.sleep(wait_time) else: response.raise_for_status() raise Exception("Max retries exceeded") # Usage example: try: data = make_request_with_retry("https://api.example.com/data") print(data) except Exception as e: print(f"Request failed: {e}") ``` This lets your client respect rate limits (429) and also gracefully retry when the upstream server has transient errors (502). If you want, I can help you make it even more robust by adding jitter or a circuit breaker pattern. What’s your next move?