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-rw-r--r--.venv/lib/python3.12/site-packages/litellm/llms/databricks/embed/handler.py49
1 files changed, 49 insertions, 0 deletions
diff --git a/.venv/lib/python3.12/site-packages/litellm/llms/databricks/embed/handler.py b/.venv/lib/python3.12/site-packages/litellm/llms/databricks/embed/handler.py
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+++ b/.venv/lib/python3.12/site-packages/litellm/llms/databricks/embed/handler.py
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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,
+ )