56 lines
1.5 KiB
Ruby
56 lines
1.5 KiB
Ruby
# frozen_string_literal: true
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module DiscourseAi
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module Tokenizer
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class BasicTokenizer
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class << self
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def available_llm_tokenizers
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[
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DiscourseAi::Tokenizer::AnthropicTokenizer,
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DiscourseAi::Tokenizer::Llama3Tokenizer,
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DiscourseAi::Tokenizer::MixtralTokenizer,
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DiscourseAi::Tokenizer::OpenAiTokenizer,
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]
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end
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def tokenizer
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raise NotImplementedError
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end
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def tokenize(text)
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tokenizer.encode(text).tokens
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end
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def size(text)
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tokenize(text).size
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end
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def decode(token_ids)
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tokenizer.decode(token_ids)
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end
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def encode(tokens)
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tokenizer.encode(tokens).ids
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end
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def truncate(text, max_length)
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# fast track common case, /2 to handle unicode chars
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# than can take more than 1 token per char
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return text if !SiteSetting.ai_strict_token_counting && text.size < max_length / 2
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tokenizer.decode(tokenizer.encode(text).ids.take(max_length))
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end
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def can_expand_tokens?(text, addition, max_length)
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# fast track common case, /2 to handle unicode chars
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# than can take more than 1 token per char
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if !SiteSetting.ai_strict_token_counting && text.size + addition.size < max_length / 2
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return true
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end
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tokenizer.encode(text).ids.length + tokenizer.encode(addition).ids.length < max_length
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end
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end
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end
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end
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end
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