TestLLM / litellm /llms /lm_studio /embed /transformation.py
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"""
Transformation logic from OpenAI /v1/embeddings format to LM Studio's `/v1/embeddings` format.
Why separate file? Make it easy to see how transformation works
Docs - https://lmstudio.ai/docs/basics/server
"""
import types
from typing import List
class LmStudioEmbeddingConfig:
"""
Reference: https://lmstudio.ai/docs/basics/server
"""
def __init__(
self,
) -> None:
locals_ = locals()
for key, value in locals_.items():
if key != "self" and value is not None:
setattr(self.__class__, key, value)
@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
}
def get_supported_openai_params(self) -> List[str]:
return []
def map_openai_params(
self, non_default_params: dict, optional_params: dict
) -> dict:
return optional_params