semantic_router.encoders.litellm

​

litellm_to_list

def litellm_to_list(embeds: "litellm.EmbeddingResponse") -> list[list[float]]

• embeds: The LiteLLM embedding response.

​

LiteLLMEncoder Objects

class LiteLLMEncoder(DenseEncoder, AsymmetricDenseMixin)

​

__init__

def __init__(name: str | None = None,
             score_threshold: float | None = None,
             api_key: str | None = None)

• name (str): The name of the embedding model to use. Must use LiteLLM naming convention (e.g. “openai/text-embedding-3-small” or “mistral/mistral-embed”).
• score_threshold (float): The score threshold for the embeddings.

• ImportError: If litellm is not installed.

​

__call__

def __call__(docs: list[Any], **kwargs) -> list[list[float]]

• docs: List of text documents to encode.

​

acall

async def acall(docs: list[Any], **kwargs) -> list[list[float]]

• docs: List of documents to encode.