semantic_router.encoders.openai

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OpenAIEncoder Objects

class OpenAIEncoder(DenseEncoder)

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token_limit

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__init__

def __init__(name: Optional[str] = None,
             openai_base_url: Optional[str] = None,
             openai_api_key: Optional[str] = None,
             openai_org_id: Optional[str] = None,
             score_threshold: Optional[float] = None,
             dimensions: Union[int, NotGiven] = NotGiven(),
             max_retries: int = 3)

• name (str): The name of the embedding model to use.
• openai_base_url (str): The base URL for the OpenAI API.
• openai_api_key (str): The OpenAI API key.
• openai_org_id (str): The OpenAI organization ID.
• score_threshold (float): The score threshold for the embeddings.
• str0 (str1): The dimensions of the embeddings.
• str2 (str1): The maximum number of retries for the OpenAI API call.

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__call__

def __call__(docs: List[str], truncate: bool = True) -> List[List[float]]

• docs: List of text documents to encode.
• truncate: Whether to truncate the documents to token limit. If False and a document exceeds the token limit, an error will be raised.

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acall

async def acall(docs: List[str], truncate: bool = True) -> List[List[float]]

• docs: List of text documents to encode.
• truncate: Whether to truncate the documents to token limit. If False and a document exceeds the token limit, an error will be raised.