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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, | |
| ) | |