mirror of
https://github.com/tiennm99/litellm.git
synced 2026-07-11 03:04:02 +00:00
fix mypy
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@@ -8,7 +8,7 @@ import litellm
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from litellm._logging import verbose_logger
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from litellm._uuid import uuid
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from litellm.types.llms.openai import Batch
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from litellm.types.utils import CallTypes, ModelResponse, Usage
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from litellm.types.utils import CallTypes, ModelInfo, ModelResponse, Usage
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from litellm.utils import token_counter
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@@ -16,7 +16,7 @@ async def calculate_batch_cost_and_usage(
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file_content_dictionary: List[dict],
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custom_llm_provider: Literal["openai", "azure", "vertex_ai", "hosted_vllm", "anthropic"],
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model_name: Optional[str] = None,
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model_info: Optional[dict] = None,
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model_info: Optional[ModelInfo] = None,
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) -> Tuple[float, Usage, List[str]]:
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"""
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Calculate the cost and usage of a batch.
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@@ -102,7 +102,7 @@ def _batch_cost_calculator(
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file_content_dictionary: List[dict],
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custom_llm_provider: Literal["openai", "azure", "vertex_ai", "hosted_vllm", "anthropic"] = "openai",
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model_name: Optional[str] = None,
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model_info: Optional[dict] = None,
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model_info: Optional[ModelInfo] = None,
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) -> float:
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"""
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Calculate the cost of a batch based on the output file id
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@@ -300,7 +300,7 @@ def _get_file_content_as_dictionary(file_content: bytes) -> List[dict]:
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def _get_batch_job_cost_from_file_content(
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file_content_dictionary: List[dict],
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custom_llm_provider: Literal["openai", "azure", "vertex_ai", "hosted_vllm", "anthropic"] = "openai",
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model_info: Optional[dict] = None,
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model_info: Optional[ModelInfo] = None,
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) -> float:
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"""
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Get the cost of a batch job from the file content
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