mirror of
https://github.com/BerriAI/litellm.git
synced 2025-04-26 11:14:04 +00:00
c7f14e936a
* remove unused imports * fix AmazonConverseConfig * fix test * fix import * ruff check fixes * test fixes * fix testing * fix imports
49 lines
1.4 KiB
Python
49 lines
1.4 KiB
Python
"""
|
|
Calling logic for Databricks embeddings
|
|
"""
|
|
|
|
from typing import Optional
|
|
|
|
from litellm.utils import EmbeddingResponse
|
|
|
|
from ...openai_like.embedding.handler import OpenAILikeEmbeddingHandler
|
|
from ..common_utils import DatabricksBase
|
|
|
|
|
|
class DatabricksEmbeddingHandler(OpenAILikeEmbeddingHandler, DatabricksBase):
|
|
def embedding(
|
|
self,
|
|
model: str,
|
|
input: list,
|
|
timeout: float,
|
|
logging_obj,
|
|
api_key: Optional[str],
|
|
api_base: Optional[str],
|
|
optional_params: dict,
|
|
model_response: Optional[EmbeddingResponse] = None,
|
|
client=None,
|
|
aembedding=None,
|
|
custom_endpoint: Optional[bool] = None,
|
|
headers: Optional[dict] = None,
|
|
) -> EmbeddingResponse:
|
|
api_base, headers = self.databricks_validate_environment(
|
|
api_base=api_base,
|
|
api_key=api_key,
|
|
endpoint_type="embeddings",
|
|
custom_endpoint=custom_endpoint,
|
|
headers=headers,
|
|
)
|
|
return super().embedding(
|
|
model=model,
|
|
input=input,
|
|
timeout=timeout,
|
|
logging_obj=logging_obj,
|
|
api_key=api_key,
|
|
api_base=api_base,
|
|
optional_params=optional_params,
|
|
model_response=model_response,
|
|
client=client,
|
|
aembedding=aembedding,
|
|
custom_endpoint=True,
|
|
headers=headers,
|
|
)
|