LangChain - LLM and Chat Model Integration
Which of the following is the correct way to catch an API rate limit error in Langchain using Python?
Which of the following is the correct way to catch an API rate limit error in Langchain using Python?
easy📝 Syntax Q12 of 15
Step-by-Step Solution
Solution:
Step 1: Recognize Python error handling syntax
Python uses try-except blocks to catch exceptions like RateLimitError.Step 2: Match the correct syntax for catching exceptions
try:\n response = client.call()\nexcept RateLimitError:\n handle_limit() uses try-except with RateLimitError, which is correct Python syntax.Final Answer:
try:\n response = client.call()\nexcept RateLimitError:\n handle_limit() -> Option DQuick Check:
Python exceptions use try-except [OK]
Quick Trick: Use try-except to catch errors in Python [OK]
Common Mistakes:
- Using if to check exceptions instead of try-except
- Using JavaScript style .catch() in Python
- Calling onError which is not Python syntax
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