[Solved] Consider the following code snippet:with get_openai_callback() as cb: chain.run("Test input") print(round(cb.total_tokens, 2))What will this code output? | LangChain

LangChain - LangSmith Observability

Consider the following code snippet:

with get_openai_callback() as cb:
    chain.run("Test input")
print(round(cb.total_tokens, 2))

What will this code output?

AAn error because <code>total_tokens</code> is not accessible outside the context

BThe total cost of the chain run, rounded to 2 decimals

CThe total number of tokens used during the chain run, rounded to 2 decimals

DZero, because token count resets after the context ends

Step-by-Step Solution

Solution:

Step 1: Analyze the context manager usage
The get_openai_callback() context manager tracks tokens during its scope.
Step 2: Check what is printed
After the context, cb.total_tokens holds the total tokens used.
Step 3: Understand rounding
The code rounds the token count to 2 decimal places (though tokens are integers, rounding won't cause error).
Final Answer:
Total tokens used during the chain run, rounded to 2 decimals -> Option C
Quick Check:
Token count is accessible after context ends [OK]

Quick Trick: Token count remains accessible after context [OK]

Common Mistakes:

MISTAKES

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