discourse-ai/lib/summarization/entry_point.rb

# frozen_string_literal: true

module DiscourseAi
  module Summarization
    class EntryPoint
      def inject_into(plugin)
        foldable_models = [
          Models::OpenAi.new("open_ai:gpt-4", max_tokens: 8192),
          Models::OpenAi.new("open_ai:gpt-4-32k", max_tokens: 32_768),
          Models::OpenAi.new("open_ai:gpt-4-turbo", max_tokens: 100_000),
          Models::OpenAi.new("open_ai:gpt-3.5-turbo", max_tokens: 4096),
          Models::OpenAi.new("open_ai:gpt-3.5-turbo-16k", max_tokens: 16_384),
          Models::Gemini.new("google:gemini-pro", max_tokens: 32_768),
          Models::Gemini.new("google:gemini-1.5-pro", max_tokens: 800_000),
        ]

        claude_prov = "anthropic"
        if DiscourseAi::Completions::Endpoints::AwsBedrock.correctly_configured?("claude-2")
          claude_prov = "aws_bedrock"
        end

        foldable_models << Models::Anthropic.new("#{claude_prov}:claude-2", max_tokens: 200_000)
        foldable_models << Models::Anthropic.new(
          "#{claude_prov}:claude-instant-1",
          max_tokens: 100_000,
        )
        foldable_models << Models::Anthropic.new(
          "#{claude_prov}:claude-3-haiku",
          max_tokens: 200_000,
        )
        foldable_models << Models::Anthropic.new(
          "#{claude_prov}:claude-3-sonnet",
          max_tokens: 200_000,
        )

        foldable_models << Models::Anthropic.new(
          "#{claude_prov}:claude-3-opus",
          max_tokens: 200_000,
        )

        mixtral_prov = "hugging_face"
        if DiscourseAi::Completions::Endpoints::Vllm.correctly_configured?(
             "mistralai/Mixtral-8x7B-Instruct-v0.1",
           )
          mixtral_prov = "vllm"
        end

        foldable_models << Models::Mixtral.new(
          "#{mixtral_prov}:mistralai/Mixtral-8x7B-Instruct-v0.1",
          max_tokens: 32_000,
        )

        LlmModel.all.each do |model|
          foldable_models << Models::CustomLlm.new(
            "custom:#{model.id}",
            max_tokens: model.max_prompt_tokens,
          )
        end

        foldable_models.each do |model|
          plugin.register_summarization_strategy(Strategies::FoldContent.new(model))
        end

        plugin.add_model_callback(LlmModel, :after_create) do
          new_model = Models::CustomLlm.new("custom:#{self.id}", max_tokens: self.max_prompt_tokens)

          if ::Summarization::Base.find_strategy("custom:#{self.id}").nil?
            plugin.register_summarization_strategy(Strategies::FoldContent.new(new_model))
          end
        end
      end
    end
  end
end