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style: fix Black formatting and indentation in cost_calculation.py

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Vitaliy 2026-06-19 23:56:25 -04:00 • committed by GitHub
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1 changed files with 27 additions and 27 deletions
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54
litellm/llms/bedrock/cost_calculation.py
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@ -8,53 +8,53 @@ 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 Usage
from litellm.types.utils import Usage
# AWS charges a ~10% surcharge for cross-region inference profiles (us./eu./ap. prefixes)
_CROSS_REGION_INFERENCE_SURCHARGE = 1.1
def _is_cross_region_inference_model(model: str) -> bool:
"""Return True if *model* uses a Bedrock cross-region inference prefix.
"""Return True if *model* uses a Bedrock cross-region inference prefix.
Cross-region inference profile IDs begin with a geographic abbreviation
followed by a dot, e.g. ``us.anthropic.claude-sonnet-4-6``. AWS bills
these at a ~10 % premium over the equivalent base-model price.
"""
from litellm.llms.bedrock.common_utils import (
get_bedrock_cross_region_inference_regions,
Cross-region inference profile IDs begin with a geographic abbreviation
followed by a dot, e.g. ``us.anthropic.claude-sonnet-4-6``. AWS bills
these at a ~10% premium over the equivalent base-model price.
"""
from litellm.llms.bedrock.common_utils import (
get_bedrock_cross_region_inference_regions,
)
stripped = model
for prefix in ("bedrock/", "converse/"):
if stripped.startswith(prefix):
stripped = stripped[len(prefix):]
break
if stripped.startswith(prefix):
stripped = stripped[len(prefix) :]
break
potential_region = stripped.split(".", 1)[0]
potential_region = stripped.split(".", 1)[0]
return potential_region in get_bedrock_cross_region_inference_regions()
def cost_per_token(
model: str, usage: "Usage", service_tier: Optional[str] = None
model: str, usage: "Usage", service_tier: Optional[str] = None
) -> Tuple[float, float]:
"""
Calculates the cost per token for a given model, prompt tokens, and completion tokens.
"""
Calculates the cost per token for a given model, prompt tokens, and completion tokens.
Follows the same logic as Anthropic's cost per token calculation.
Follows the same logic as Anthropic's cost per token calculation.
For cross-region inference profiles (us./eu./ap. prefixes), applies the AWS
10 % surcharge on top of the base-model token prices.
"""
prompt_cost, completion_cost = generic_cost_per_token(
model=model,
usage=usage,
custom_llm_provider="bedrock",
service_tier=service_tier,
)
For cross-region inference profiles (us./eu./ap. prefixes), applies the AWS
10% surcharge on top of the base-model token prices.
"""
prompt_cost, completion_cost = generic_cost_per_token(
model=model,
usage=usage,
custom_llm_provider="bedrock",
service_tier=service_tier,
)
if _is_cross_region_inference_model(model):
prompt_cost *= _CROSS_REGION_INFERENCE_SURCHARGE
completion_cost *= _CROSS_REGION_INFERENCE_SURCHARGE
prompt_cost *= _CROSS_REGION_INFERENCE_SURCHARGE
completion_cost *= _CROSS_REGION_INFERENCE_SURCHARGE
return prompt_cost, completion_cost