# frozen_string_literal: true if defined?(DiscourseAutomation) DiscourseAutomation::Scriptable.add("llm_triage") do version 1 run_in_background placeholder :post triggerables %i[post_created_edited] field :system_prompt, component: :message, required: true, validator: ->(input) do if !input.include?("%%POST%%") I18n.t( "discourse_automation.scriptables.llm_triage.system_prompt_missing_post_placeholder", ) end end, accepts_placeholders: true field :search_for_text, component: :text, required: true field :model, component: :choices, required: true, extra: { content: DiscourseAi::Automation::AVAILABLE_MODELS, } field :category, component: :category field :tags, component: :tags field :hide_topic, component: :boolean field :flag_post, component: :boolean field :canned_reply, component: :message field :canned_reply_user, component: :user script do |context, fields| post = context["post"] canned_reply = fields.dig("canned_reply", "value") canned_reply_user = fields.dig("canned_reply_user", "value") # nothing to do if we already replied next if post.user.username == canned_reply_user next if post.raw.strip == canned_reply.to_s.strip system_prompt = fields["system_prompt"]["value"] search_for_text = fields["search_for_text"]["value"] model = fields["model"]["value"] category_id = fields.dig("category", "value") tags = fields.dig("tags", "value") hide_topic = fields.dig("hide_topic", "value") flag_post = fields.dig("flag_post", "value") begin DiscourseAi::Automation::LlmTriage.handle( post: post, model: model, search_for_text: search_for_text, system_prompt: system_prompt, category_id: category_id, tags: tags, canned_reply: canned_reply, canned_reply_user: canned_reply_user, hide_topic: hide_topic, flag_post: flag_post, ) rescue => e Discourse.warn_exception(e, message: "llm_triage: failed to run inference") end end end end