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""" | |
Helper util for handling anthropic-specific cost calculation | |
- e.g.: prompt caching | |
""" | |
from typing import TYPE_CHECKING, Optional, Tuple | |
from litellm.litellm_core_utils.llm_cost_calc.utils import generic_cost_per_token | |
if TYPE_CHECKING: | |
from litellm.types.utils import ModelInfo, Usage | |
def cost_per_token(model: str, usage: "Usage") -> 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 | |
""" | |
return generic_cost_per_token( | |
model=model, usage=usage, custom_llm_provider="anthropic" | |
) | |
def get_cost_for_anthropic_web_search( | |
model_info: Optional["ModelInfo"] = None, | |
usage: Optional["Usage"] = None, | |
) -> float: | |
""" | |
Get the cost of using a web search tool for Anthropic. | |
""" | |
from litellm.types.utils import SearchContextCostPerQuery | |
## Check if web search requests are in the usage object | |
if model_info is None: | |
return 0.0 | |
if ( | |
usage is None | |
or usage.server_tool_use is None | |
or usage.server_tool_use.web_search_requests is None | |
): | |
return 0.0 | |
## Get the cost per web search request | |
search_context_pricing: SearchContextCostPerQuery = ( | |
model_info.get("search_context_cost_per_query", {}) or {} | |
) | |
cost_per_web_search_request = search_context_pricing.get( | |
"search_context_size_medium", 0.0 | |
) | |
if cost_per_web_search_request is None or cost_per_web_search_request == 0.0: | |
return 0.0 | |
## Calculate the total cost | |
total_cost = cost_per_web_search_request * usage.server_tool_use.web_search_requests | |
return total_cost | |