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How to implement exponential backoff for LLM API calls in Python

A decorator that retries flaky LLM API calls with exponential delay, using a mock client to demonstrate the pattern.

import time
import random

class MockLLM:
    def call(self, prompt):
        if random.random() < 0.7:  # 70% chance of transient failure
            raise ConnectionError("API unavailable")
        return f"LLM response for: {prompt}"

def with_exponential_backoff(max_retries=5, base_delay=0.1):
    def decorator(fu…

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