litellm-mirror/litellm/llms/databricks/embed/handler.py
Krish Dholakia 516c2a6a70
Litellm remove circular imports (#7232)
* fix(utils.py): initial commit to remove circular imports - moves llmproviders to utils.py

* fix(router.py): fix 'litellm.EmbeddingResponse' import from router.py

'

* refactor: fix litellm.ModelResponse import on pass through endpoints

* refactor(litellm_logging.py): fix circular import for custom callbacks literal

* fix(factory.py): fix circular imports inside prompt factory

* fix(cost_calculator.py): fix circular import for 'litellm.Usage'

* fix(proxy_server.py): fix potential circular import with `litellm.Router'

* fix(proxy/utils.py): fix potential circular import in `litellm.Router`

* fix: remove circular imports in 'auth_checks' and 'guardrails/'

* fix(prompt_injection_detection.py): fix router impor t

* fix(vertex_passthrough_logging_handler.py): fix potential circular imports in vertex pass through

* fix(anthropic_pass_through_logging_handler.py): fix potential circular imports

* fix(slack_alerting.py-+-ollama_chat.py): fix modelresponse import

* fix(base.py): fix potential circular import

* fix(handler.py): fix potential circular ref in codestral + cohere handler's

* fix(azure.py): fix potential circular imports

* fix(gpt_transformation.py): fix modelresponse import

* fix(litellm_logging.py): add logging base class - simplify typing

makes it easy for other files to type check the logging obj without introducing circular imports

* fix(azure_ai/embed): fix potential circular import on handler.py

* fix(databricks/): fix potential circular imports in databricks/

* fix(vertex_ai/): fix potential circular imports on vertex ai embeddings

* fix(vertex_ai/image_gen): fix import

* fix(watsonx-+-bedrock): cleanup imports

* refactor(anthropic-pass-through-+-petals): cleanup imports

* refactor(huggingface/): cleanup imports

* fix(ollama-+-clarifai): cleanup circular imports

* fix(openai_like/): fix impor t

* fix(openai_like/): fix embedding handler

cleanup imports

* refactor(openai.py): cleanup imports

* fix(sagemaker/transformation.py): fix import

* ci(config.yml): add circular import test to ci/cd
2024-12-14 16:28:34 -08:00

50 lines
1.4 KiB
Python

"""
Calling logic for Databricks embeddings
"""
from typing import Optional
import litellm
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,
)