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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
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