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fix: guard against empty choices and message=None in LLM responses #39

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fix: guard against empty choices and message=None in LLM responses #39

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2 changes: 2 additions & 0 deletions evaluate/evaluate_by_scoring.py
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Original file line number Diff line number Diff line change
Expand Up @@ -23,6 +23,8 @@ def llm_model_func(prompt, system_prompt=None, history_messages=[], **kwargs) ->
response = openai_client.chat.completions.create(
model=LLM_MODEL, messages=messages, **kwargs
)
if not response.choices or response.choices[0].message is None:
raise ValueError("LLM returned empty or filtered response")
return response.choices[0].message.content


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2 changes: 2 additions & 0 deletions evaluate/evaluate_by_selection.py
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Original file line number Diff line number Diff line change
Expand Up @@ -23,6 +23,8 @@ def llm_model_func(prompt, system_prompt=None, history_messages=[], **kwargs) ->
response = openai_client.chat.completions.create(
model=LLM_MODEL, messages=messages, **kwargs
)
if not response.choices or response.choices[0].message is None:
raise ValueError("LLM returned empty or filtered response")
return response.choices[0].message.content


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2 changes: 2 additions & 0 deletions reproduce/Step_2_extract_question.py
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Original file line number Diff line number Diff line change
Expand Up @@ -28,6 +28,8 @@ def llm_model_func(prompt, system_prompt=None, history_messages=[], **kwargs) ->
response = openai_client.chat.completions.create(
model=LLM_MODEL, messages=messages, **kwargs
)
if not response.choices or response.choices[0].message is None:
raise ValueError("LLM returned empty or filtered response")
return response.choices[0].message.content


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