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fix: incorrect casting of top_p and frequency_penalty
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@ -44,9 +44,9 @@ def apply_model_params_to_body(
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def apply_model_params_to_body_openai(params: dict, form_data: dict) -> dict:
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def apply_model_params_to_body_openai(params: dict, form_data: dict) -> dict:
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mappings = {
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mappings = {
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"temperature": float,
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"temperature": float,
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"top_p": int,
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"top_p": float,
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"max_tokens": int,
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"max_tokens": int,
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"frequency_penalty": int,
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"frequency_penalty": float,
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"seed": lambda x: x,
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"seed": lambda x: x,
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"stop": lambda x: [bytes(s, "utf-8").decode("unicode_escape") for s in x],
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"stop": lambda x: [bytes(s, "utf-8").decode("unicode_escape") for s in x],
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}
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}
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