litellm - 💡(How to fix) Fix Intermittent API Connection Errors while sending the async requests to OpenAI [1 participants]

Fix Plan

The fix involves implementing retry logic and error handling for API connections to the Azure OpenAI service.

Steps to Implement the Fix

• Modify the LiteLLM gateway to include retry logic for API connections:
  • Use a library like tenacity for Python or polly for C# to handle retries.
  • Configure the retry policy to handle transient errors (e.g., network issues, server busy).
• Implement error handling for API connections:
  • Catch and log specific exceptions related to API connections (e.g., ConnectionError, TimeoutError).
  • Return a meaningful error message or fallback response when an API connection error occurs.

Example Code (Python)

import requests
from tenacity import retry, stop_after_attempt, wait_exponential

@retry(stop=stop_after_attempt(3), wait=wait_exponential(multiplier=1, min=4, max=10))
def connect_to_api(endpoint, data):
    try:
        response = requests.post(endpoint, json=data)
        response.raise_for_status()
        return response.json()
    except requests.exceptions.RequestException as e:
        print(f"API connection error: {e}")
        raise

# Usage
endpoint = "https://api.azure.com/openai"
data = {"input": "Hello, world!"}
response = connect_to_api(endpoint, data)
print(response)

Verification

• Monitor API connection errors and verify that the retry logic reduces the number of failed requests.
• Test the error handling by simulating API connection errors (e.g., using a tool like curl to block the API endpoint).

Extra Tips

• Consider implementing circuit breakers to detect and prevent cascading failures.
• Regularly review and adjust the retry policy and error handling to ensure optimal performance and reliability.