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"""
Transformation logic from OpenAI /v1/embeddings format to Bedrock Cohere /invoke format.
Why separate file? Make it easy to see how transformation works
"""
from typing import List
from litellm.llms.cohere.embed.transformation import CohereEmbeddingConfig
from litellm.types.llms.bedrock import CohereEmbeddingRequest
class BedrockCohereEmbeddingConfig:
def __init__(self) -> None:
pass
def get_supported_openai_params(self) -> List[str]:
return ["encoding_format"]
def map_openai_params(
self, non_default_params: dict, optional_params: dict
) -> dict:
for k, v in non_default_params.items():
if k == "encoding_format":
optional_params["embedding_types"] = v
return optional_params
def _is_v3_model(self, model: str) -> bool:
return "3" in model
def _transform_request(
self, model: str, input: List[str], inference_params: dict
) -> CohereEmbeddingRequest:
transformed_request = CohereEmbeddingConfig()._transform_request(
model, input, inference_params
)
new_transformed_request = CohereEmbeddingRequest(
input_type=transformed_request["input_type"],
)
for k in CohereEmbeddingRequest.__annotations__.keys():
if k in transformed_request:
new_transformed_request[k] = transformed_request[k] # type: ignore
return new_transformed_request
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