2023-04-04 10:24:09 -04:00
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# frozen_string_literal: true
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module DiscourseAi
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module Summarization
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class EntryPoint
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def inject_into(plugin)
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foldable_models = [
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Models::OpenAi.new("open_ai:gpt-4", max_tokens: 8192),
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Models::OpenAi.new("open_ai:gpt-4-32k", max_tokens: 32_768),
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2024-04-10 08:53:20 -04:00
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Models::OpenAi.new("open_ai:gpt-4-turbo", max_tokens: 100_000),
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2024-01-29 14:04:25 -05:00
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Models::OpenAi.new("open_ai:gpt-3.5-turbo", max_tokens: 4096),
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Models::OpenAi.new("open_ai:gpt-3.5-turbo-16k", max_tokens: 16_384),
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Models::Llama2.new(
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"hugging_face:Llama2-chat-hf",
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max_tokens: SiteSetting.ai_hugging_face_token_limit,
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),
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Models::Llama2FineTunedOrcaStyle.new(
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"hugging_face:StableBeluga2",
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max_tokens: SiteSetting.ai_hugging_face_token_limit,
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),
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Models::Gemini.new("google:gemini-pro", max_tokens: 32_768),
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]
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2024-01-29 14:04:25 -05:00
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claude_prov = "anthropic"
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if DiscourseAi::Completions::Endpoints::AwsBedrock.correctly_configured?("claude-2")
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claude_prov = "aws_bedrock"
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end
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foldable_models << Models::Anthropic.new("#{claude_prov}:claude-2", max_tokens: 200_000)
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foldable_models << Models::Anthropic.new(
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"#{claude_prov}:claude-instant-1",
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max_tokens: 100_000,
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)
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foldable_models << Models::Anthropic.new(
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"#{claude_prov}:claude-3-haiku",
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max_tokens: 200_000,
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)
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foldable_models << Models::Anthropic.new(
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"#{claude_prov}:claude-3-sonnet",
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max_tokens: 200_000,
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)
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# no opus yet for AWS bedrock
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foldable_models << Models::Anthropic.new("anthropic:claude-3-opus", max_tokens: 200_000)
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mixtral_prov = "hugging_face"
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if DiscourseAi::Completions::Endpoints::Vllm.correctly_configured?(
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"mistralai/Mixtral-8x7B-Instruct-v0.1",
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)
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mixtral_prov = "vllm"
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end
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foldable_models << Models::Mixtral.new(
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"#{mixtral_prov}:mistralai/Mixtral-8x7B-Instruct-v0.1",
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max_tokens: 32_000,
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)
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2023-06-27 11:26:33 -04:00
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foldable_models.each do |model|
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plugin.register_summarization_strategy(Strategies::FoldContent.new(model))
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end
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truncatable_models = [
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Models::Discourse.new("long-t5-tglobal-base-16384-book-summary", max_tokens: 16_384),
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Models::Discourse.new("bart-large-cnn-samsum", max_tokens: 1024),
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Models::Discourse.new("flan-t5-base-samsum", max_tokens: 512),
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]
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truncatable_models.each do |model|
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plugin.register_summarization_strategy(Strategies::TruncateContent.new(model))
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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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