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feat: Support dimensions param for Cohere embed v4 #20235

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Merged
Sameerlite merged 1 commit into from
Feb 2, 2026
Merged

feat: Support dimensions param for Cohere embed v4 #20235

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4 changes: 3 additions & 1 deletion litellm/llms/bedrock/embed/cohere_transformation.py
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Original file line number Diff line number Diff line change
Expand Up @@ -15,14 +15,16 @@ def __init__(self) -> None:
pass

def get_supported_openai_params(self) -> List[str]:
return ["encoding_format"]
return ["encoding_format", "dimensions"]

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
elif k == "dimensions":
optional_params["output_dimension"] = v
return optional_params

def _is_v3_model(self, model: str) -> bool:
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1 change: 1 addition & 0 deletions litellm/types/llms/bedrock.py
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Expand Up @@ -397,6 +397,7 @@ class CohereEmbeddingRequest(TypedDict, total=False):
input_type: Required[COHERE_EMBEDDING_INPUT_TYPES]
truncate: Literal["NONE", "START", "END"]
embedding_types: Literal["float", "int8", "uint8", "binary", "ubinary"]
output_dimension: int


class CohereEmbeddingRequestWithModel(CohereEmbeddingRequest):
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2 changes: 1 addition & 1 deletion litellm/utils.py
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Expand Up @@ -3242,7 +3242,7 @@ def _check_valid_arg(supported_params: Optional[list]):
object = litellm.AmazonTitanMultimodalEmbeddingG1Config()
elif "amazon.titan-embed-text-v2:0" in model:
object = litellm.AmazonTitanV2Config()
elif "cohere.embed-multilingual-v3" in model:
elif "cohere.embed-multilingual-v3" in model or "cohere.embed-v4" in model:
object = litellm.BedrockCohereEmbeddingConfig()
elif "twelvelabs" in model or "marengo" in model:
object = litellm.TwelveLabsMarengoEmbeddingConfig()
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