79 lines
2.4 KiB
Ruby
79 lines
2.4 KiB
Ruby
# frozen_string_literal: true
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if defined?(DiscourseAutomation)
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DiscourseAutomation::Scriptable.add("llm_triage") do
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version 1
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run_in_background
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placeholder :post
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triggerables %i[post_created_edited]
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field :system_prompt,
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component: :message,
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required: true,
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validator: ->(input) do
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if !input.include?("%%POST%%")
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I18n.t(
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"discourse_automation.scriptables.llm_triage.system_prompt_missing_post_placeholder",
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)
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end
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end,
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accepts_placeholders: true
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field :search_for_text, component: :text, required: true
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field :model,
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component: :choices,
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required: true,
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extra: {
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content: DiscourseAi::Automation::AVAILABLE_MODELS,
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}
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field :category, component: :category
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field :tags, component: :tags
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field :hide_topic, component: :boolean
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field :flag_post, component: :boolean
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field :canned_reply, component: :message
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field :canned_reply_user, component: :user
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script do |context, fields, automation|
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post = context["post"]
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system_prompt = fields["system_prompt"]["value"]
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search_for_text = fields["search_for_text"]["value"]
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model = fields["model"]["value"]
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if !%w[gpt-4 gpt-3-5-turbo claude-2].include?(model)
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Rails.logger.warn("llm_triage: model #{model} is not supported")
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next
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end
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category_id = fields.dig("category", "value")
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tags = fields.dig("tags", "value")
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hide_topic = fields.dig("hide_topic", "value")
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flag_post = fields.dig("flag_post", "value")
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canned_reply = fields.dig("canned_reply", "value")
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canned_reply_user = fields.dig("canned_reply_user", "value")
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if post.raw.strip == canned_reply.to_s.strip
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# nothing to do if we already replied
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next
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end
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begin
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DiscourseAi::Automation::LlmTriage.handle(
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post: post,
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model: model,
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search_for_text: search_for_text,
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system_prompt: system_prompt,
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category_id: category_id,
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tags: tags,
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canned_reply: canned_reply,
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canned_reply_user: canned_reply_user,
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hide_topic: hide_topic,
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flag_post: flag_post,
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)
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rescue => e
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Discourse.warn_exception(e, message: "llm_triage: failed to run inference")
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end
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end
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end
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end
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