Which approach correctly implements this behavior?
hard📝 Application Q15 of 15
LangChain - LLM and Chat Model Integration
You want to build a Langchain client that automatically retries API calls up to 3 times with increasing wait times (1s, 2s, 4s) when a rate limit error occurs. Which approach correctly implements this behavior?
AUse a loop with try-except catching RateLimitError, sleep increasing seconds, and break on success
BCall client.call() once and if it fails, immediately call it 3 more times without waiting
CWrap client.call() in a single try-except and retry only once after a fixed 5 second wait
DIgnore RateLimitError and rely on API to reset limits automatically
Step-by-Step Solution
Solution:
Step 1: Understand retry logic with increasing wait times
Retries should be in a loop, catching errors, waiting longer each time before retrying.
Step 2: Evaluate options for correct retry pattern
Use a loop with try-except catching RateLimitError, sleep increasing seconds, and break on success uses a loop with try-except, sleeps 1, 2, then 4 seconds, and stops on success, matching requirements.
Final Answer:
Use a loop with try-except catching RateLimitError, sleep increasing seconds, and break on success -> Option A
Quick Check:
Loop with increasing wait and try-except = correct retry [OK]
Quick Trick:Loop retries with increasing sleep and try-except [OK]
Common Mistakes:
Retrying without wait or fixed wait only
Retrying fixed times without catching errors
Ignoring errors and not retrying
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