chore: initial public snapshot for github upload
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"""
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Cost calculator for DeepSeek Chat models.
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Handles prompt caching scenario.
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"""
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from typing import Tuple
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from litellm.litellm_core_utils.llm_cost_calc.utils import generic_cost_per_token
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from litellm.types.utils import Usage
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def cost_per_token(model: str, usage: Usage) -> Tuple[float, float]:
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"""
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Calculates the cost per token for a given model, prompt tokens, and completion tokens.
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Follows the same logic as Anthropic's cost per token calculation.
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"""
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return generic_cost_per_token(
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model=model, usage=usage, custom_llm_provider="deepseek"
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)
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