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3d8833c
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Parent(s):
b5f3442
Defaults to gpt-4o-mini
Browse files- tests/analysis.py +1 -1
- tests/candidate.py +1 -1
- tests/test_e2e.py +1 -1
tests/analysis.py
CHANGED
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@@ -137,7 +137,7 @@ def run_evaluation(
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interview_types: Optional[List[str]] = None,
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grader_models: Optional[List[str]] = None,
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llm_configs: Optional[List[Any]] = None,
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-
candidate_model: str = "gpt-
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num_workers: int = 3,
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) -> str:
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"""
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interview_types: Optional[List[str]] = None,
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grader_models: Optional[List[str]] = None,
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llm_configs: Optional[List[Any]] = None,
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+
candidate_model: str = "gpt-4o-mini",
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num_workers: int = 3,
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) -> str:
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"""
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tests/candidate.py
CHANGED
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@@ -22,7 +22,7 @@ def complete_interview(
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requirements: str = "",
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difficulty: str = "",
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topic: str = "",
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model: str = "gpt-
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pause: int = 0,
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mode: str = "normal",
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max_messages: Optional[int] = None,
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requirements: str = "",
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difficulty: str = "",
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topic: str = "",
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model: str = "gpt-4o-mini",
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pause: int = 0,
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mode: str = "normal",
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max_messages: Optional[int] = None,
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tests/test_e2e.py
CHANGED
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@@ -13,7 +13,7 @@ def complete_and_grade_interview(interview_type: str, mode: str = "normal", min_
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:param mode: Mode of the interview ("normal", "empty", "gibberish", "repeat").
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:return: Overall score of the interview.
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"""
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file_path, _ = complete_interview(interview_type, "test", model="gpt-
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feedback = grade(file_path, model="gpt-4-turbo")
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assert feedback["overall_score"] > min_score
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return feedback["overall_score"]
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:param mode: Mode of the interview ("normal", "empty", "gibberish", "repeat").
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:return: Overall score of the interview.
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"""
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file_path, _ = complete_interview(interview_type, "test", model="gpt-4o-mini", mode=mode)
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feedback = grade(file_path, model="gpt-4-turbo")
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assert feedback["overall_score"] > min_score
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return feedback["overall_score"]
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