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Voyageai tokenizer

VoyageAiTokenizer

Bases: BaseTokenizer

Source code in griptape/tokenizers/voyageai_tokenizer.py 
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@define()
class VoyageAiTokenizer(BaseTokenizer):
    MODEL_PREFIXES_TO_MAX_INPUT_TOKENS = {
        "voyage-large-2": 16000,
        "voyage-code-2": 16000,
        "voyage-2": 4000,
        "voyage-lite-02-instruct": 4000,
    }
    MODEL_PREFIXES_TO_MAX_OUTPUT_TOKENS = {"voyage": 0}

    api_key: Optional[str] = field(default=None, kw_only=True, metadata={"serializable": False})
    client: Client = field(
        default=Factory(
            lambda self: import_optional_dependency("voyageai").Client(api_key=self.api_key), takes_self=True
        ),
        kw_only=True,
    )

    def count_tokens(self, text: str | list) -> int:
        if isinstance(text, str):
            return self.client.count_tokens([text])
        else:
            raise ValueError("Text must be a str.")

MODEL_PREFIXES_TO_MAX_INPUT_TOKENS = {'voyage-large-2': 16000, 'voyage-code-2': 16000, 'voyage-2': 4000, 'voyage-lite-02-instruct': 4000} class-attribute instance-attribute

MODEL_PREFIXES_TO_MAX_OUTPUT_TOKENS = {'voyage': 0} class-attribute instance-attribute

api_key: Optional[str] = field(default=None, kw_only=True, metadata={'serializable': False}) class-attribute instance-attribute

client: Client = field(default=Factory(lambda self: import_optional_dependency('voyageai').Client(api_key=self.api_key), takes_self=True), kw_only=True) class-attribute instance-attribute

count_tokens(text)

Source code in griptape/tokenizers/voyageai_tokenizer.py 
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def count_tokens(self, text: str | list) -> int:
    if isinstance(text, str):
        return self.client.count_tokens([text])
    else:
        raise ValueError("Text must be a str.")