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""" | |
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, | |
) | |