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⚡️ Speed up method VertexAITextEmbeddingConfig.get_config by 44% #123

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⚡️ Speed up method VertexAITextEmbeddingConfig.get_config by 44% #123

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23 changes: 7 additions & 16 deletions litellm/llms/vertex_ai/vertex_embeddings/transformation.py
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Original file line number Diff line number Diff line change
@@ -1,4 +1,3 @@
import types
from typing import List, Literal, Optional, Union

from pydantic import BaseModel
Expand Down Expand Up @@ -48,27 +47,19 @@ def __init__(
] = None,
title: Optional[str] = None,
) -> None:
locals_ = locals().copy()
for key, value in locals_.items():
if key != "self" and value is not None:
setattr(self.__class__, key, value)
if auto_truncate is not None:
self.__class__.auto_truncate = auto_truncate
if task_type is not None:
self.__class__.task_type = task_type
if title is not None:
self.__class__.title = title

@classmethod
def get_config(cls):
return {
k: v
for k, v in cls.__dict__.items()
if not k.startswith("__")
and not isinstance(
v,
(
types.FunctionType,
types.BuiltinFunctionType,
classmethod,
staticmethod,
),
)
and v is not None
if not k.startswith("__") and not callable(v) and v is not None
}

def get_supported_openai_params(self):
Expand Down