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Fix count tokens #254

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Merged
amanjaiswal73892 merged 1 commit into from
Jun 27, 2025
Merged

Fix count tokens #254

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4 changes: 2 additions & 2 deletions src/agentlab/llm/llm_utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -188,8 +188,8 @@ def get_tokenizer(model_name="gpt-4"):
logging.info(f"Could not find a tokenizer for model {model_name}. Trying HuggingFace.")
try:
return AutoTokenizer.from_pretrained(model_name)
except OSError:
logging.info(f"Could not find a tokenizer for model {model_name}. Defaulting to gpt-4.")
except Exception as e:
logging.info(f"Could not find a tokenizer for model {model_name}: {e} Defaulting to gpt-4.")
Comment on lines 189 to +192
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@korbit-ai korbit-ai bot Jun 23, 2025

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Over-broad Exception Handling category Error Handling

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What is the issue?

Using a bare Exception catch is too broad and could mask critical errors that should be handled differently.

Why this matters

This could catch and ignore serious issues like memory errors or import errors that require different handling, potentially making debugging more difficult.

Suggested change ∙ Feature Preview

Catch specific exceptions that are expected in tokenizer loading:

try:
    return AutoTokenizer.from_pretrained(model_name)
except (OSError, ValueError) as e:
    logging.info(f"Could not find a tokenizer for model {model_name}: {e} Defaulting to gpt-4.")
Provide feedback to improve future suggestions

Nice Catch Incorrect Not in Scope Not in coding standard Other

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return tiktoken.encoding_for_model("gpt-4")


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