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chore: import upstream snapshot with attribution
2026-07-13 12:37:31 +08:00

56 lines
1.3 KiB
Python

# Copyright (c) 2024 Microsoft Corporation.
# Licensed under the MIT License
"""LiteLLM Tokenizer."""
from typing import Any
import tiktoken
from graphrag_llm.tokenizer.tokenizer import Tokenizer
class TiktokenTokenizer(Tokenizer):
"""LiteLLM Tokenizer."""
_encoding_name: str
def __init__(self, *, encoding_name: str, **kwargs: Any) -> None:
"""Initialize the Tiktoken Tokenizer.
Args
----
encoding_name: str
The encoding name, e.g., "gpt-4o".
"""
self._encoding_name = encoding_name
self._encoding = tiktoken.get_encoding(encoding_name)
def encode(self, text: str) -> list[int]:
"""Encode the given text into a list of tokens.
Args
----
text: str
The input text to encode.
Returns
-------
list[int]: A list of tokens representing the encoded text.
"""
return self._encoding.encode(text)
def decode(self, tokens: list[int]) -> str:
"""Decode a list of tokens back into a string.
Args
----
tokens: list[int]
A list of tokens to decode.
Returns
-------
str: The decoded string from the list of tokens.
"""
return self._encoding.decode(tokens)