h dZddlmZmZmZddlmZddlmZddl m Z m Z ddl m Z de ded fd Zd ed e deeeffd Z dd edeededeeeffdZy)zR Helper util for handling openai-specific cost calculation - e.g.: prompt caching )LiteralOptionalTuple)verbose_loggergeneric_cost_per_token) CallTypesUsage)get_model_info call_typereturn)cost_per_tokencost_per_secondcR|tjk(s|tjk(ryy)Nrr)r atranscription transcription)r s `/var/www/Befach/backend/env/lib/python3.12/site-packages/litellm/llms/openai/cost_calculation.py cost_routerrs#I,,, Y=T=T0T modelusagect||dS)aO Calculates the cost per token for a given model, prompt tokens, and completion tokens. Input: - model: str, the model name without provider prefix - usage: LiteLLM Usage block, containing anthropic caching information Returns: Tuple[float, float] - prompt_cost_in_usd, completion_cost_in_usd openai)rrcustom_llm_providerr)rrs rrrs "5h rrdurationc8t||xsd}d}d}d|vr>|d9tjd|d|jdd||d|z}||fSd|vr<|d7tjd|d |jdd||d|z}d}||fS) a Calculates the cost per second for a given model, prompt tokens, and completion tokens. Input: - model: str, the model name without provider prefix - custom_llm_provider: str, the custom llm provider - duration: float, the duration of the response in seconds Returns: Tuple[float, float] - prompt_cost_in_usd, completion_cost_in_usd r)rroutput_cost_per_secondz For model=z - output_cost_per_second: z ; duration: input_cost_per_secondz - input_cost_per_second: )r rdebugget)rrr model_info prompt_costcompletion_costs rrrQs )<)HJKO !J. / 0 <::>>Jb;c:ddpqypz { %%=>I  '' :- . / ;9*..I`:a9bbnownx y !!89HD   ''rN)r)__doc__typingrrrlitellm._loggingr.litellm.litellm_core_utils.llm_cost_calc.utilsrlitellm.types.utilsr r litellm.utilsr rstrfloatrrrrr.s ,++Q0( 9 1T)U #eeUl0CzGJ)( )(%-c])(>C)( 5%<)(r