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"""
Helper util for handling azure openai-specific cost calculation
- e.g.: prompt caching
"""
from typing import Optional, Tuple
from litellm._logging import verbose_logger
from litellm.types.utils import Usage
from litellm.utils import get_model_info
def cost_per_token(
model: str, usage: Usage, response_time_ms: Optional[float] = 0.0
) -> Tuple[float, float]:
"""
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
"""
## GET MODEL INFO
model_info = get_model_info(model=model, custom_llm_provider="azure")
cached_tokens: Optional[int] = None
## CALCULATE INPUT COST
non_cached_text_tokens = usage.prompt_tokens
if usage.prompt_tokens_details and usage.prompt_tokens_details.cached_tokens:
cached_tokens = usage.prompt_tokens_details.cached_tokens
non_cached_text_tokens = non_cached_text_tokens - cached_tokens
prompt_cost: float = non_cached_text_tokens * model_info["input_cost_per_token"]
## CALCULATE OUTPUT COST
completion_cost: float = (
usage["completion_tokens"] * model_info["output_cost_per_token"]
)
## Prompt Caching cost calculation
if model_info.get("cache_read_input_token_cost") is not None and cached_tokens:
# Note: We read ._cache_read_input_tokens from the Usage - since cost_calculator.py standardizes the cache read tokens on usage._cache_read_input_tokens
prompt_cost += cached_tokens * (
model_info.get("cache_read_input_token_cost", 0) or 0
)
## Speech / Audio cost calculation
if (
"output_cost_per_second" in model_info
and model_info["output_cost_per_second"] is not None
and response_time_ms is not None
):
verbose_logger.debug(
f"For model={model} - output_cost_per_second: {model_info.get('output_cost_per_second')}; response time: {response_time_ms}"
)
## COST PER SECOND ##
prompt_cost = 0
completion_cost = model_info["output_cost_per_second"] * response_time_ms / 1000
return prompt_cost, completion_cost
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