63 lines
1.8 KiB
Python
63 lines
1.8 KiB
Python
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"""
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Helper util for handling anthropic-specific cost calculation
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- e.g.: prompt caching
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"""
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from typing import TYPE_CHECKING, Optional, Tuple
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from litellm.litellm_core_utils.llm_cost_calc.utils import generic_cost_per_token
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if TYPE_CHECKING:
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from litellm.types.utils import ModelInfo, 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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Input:
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- model: str, the model name without provider prefix
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- usage: LiteLLM Usage block, containing anthropic caching information
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Returns:
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Tuple[float, float] - prompt_cost_in_usd, completion_cost_in_usd
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"""
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return generic_cost_per_token(
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model=model, usage=usage, custom_llm_provider="anthropic"
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)
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def get_cost_for_anthropic_web_search(
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model_info: Optional["ModelInfo"] = None,
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usage: Optional["Usage"] = None,
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) -> float:
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"""
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Get the cost of using a web search tool for Anthropic.
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"""
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from litellm.types.utils import SearchContextCostPerQuery
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## Check if web search requests are in the usage object
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if model_info is None:
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return 0.0
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if (
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usage is None
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or usage.server_tool_use is None
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or usage.server_tool_use.web_search_requests is None
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):
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return 0.0
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## Get the cost per web search request
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search_context_pricing: SearchContextCostPerQuery = (
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model_info.get("search_context_cost_per_query", {}) or {}
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)
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cost_per_web_search_request = search_context_pricing.get(
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"search_context_size_medium", 0.0
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)
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if cost_per_web_search_request is None or cost_per_web_search_request == 0.0:
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return 0.0
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## Calculate the total cost
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total_cost = cost_per_web_search_request * usage.server_tool_use.web_search_requests
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return total_cost
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