DEV: Decorate boosted and AI results

.discourse-compatibility

@@ -1,5 +1,3 @@
-< 3.3.0.beta1-dev: a65c4076a63104b61d213534db7f89aa3c8acd9e
-< 3.2.0.beta5-dev: c70f43f130fb98e4a1adb1afd9b621aaa49088e3
 < 3.2.0.beta4-dev: 493b48477a9288f2f1b6f021954088705a6673d6
 < 3.2.0.beta2-dev: 3bced1c6f525553fe2b5b79d29bd66c1cf2a47d5
 3.1.999: c0415bb7eb878b1b7abf112d65cba981030df8df

Gemfile.lock

@@ -1,77 +1,58 @@
 GEM
   remote: https://rubygems.org/
   specs:
-    activesupport (7.1.3.2)
-      base64
-      bigdecimal
-      concurrent-ruby (~> 1.0, >= 1.0.2)
-      connection_pool (>= 2.2.5)
-      drb
-      i18n (>= 1.6, < 2)
-      minitest (>= 5.1)
-      mutex_m
-      tzinfo (~> 2.0)
     ast (2.4.2)
-    base64 (0.2.0)
-    bigdecimal (3.1.6)
-    concurrent-ruby (1.2.3)
-    connection_pool (2.4.1)
-    drb (2.2.1)
-    i18n (1.14.1)
-      concurrent-ruby (~> 1.0)
-    json (2.7.1)
+    json (2.6.3)
     language_server-protocol (3.17.0.3)
-    minitest (5.22.2)
-    mutex_m (0.2.0)
-    parallel (1.24.0)
-    parser (3.3.0.5)
+    parallel (1.23.0)
+    parser (3.2.2.4)
       ast (~> 2.4.1)
       racc
     prettier_print (1.2.1)
-    racc (1.7.3)
+    racc (1.7.2)
     rainbow (3.1.1)
-    regexp_parser (2.9.0)
+    regexp_parser (2.8.2)
     rexml (3.2.6)
-    rubocop (1.61.0)
+    rubocop (1.57.2)
       json (~> 2.3)
       language_server-protocol (>= 3.17.0)
       parallel (~> 1.10)
-      parser (>= 3.3.0.2)
+      parser (>= 3.2.2.4)
       rainbow (>= 2.2.2, < 4.0)
       regexp_parser (>= 1.8, < 3.0)
       rexml (>= 3.2.5, < 4.0)
-      rubocop-ast (>= 1.30.0, < 2.0)
+      rubocop-ast (>= 1.28.1, < 2.0)
       ruby-progressbar (~> 1.7)
       unicode-display_width (>= 2.4.0, < 3.0)
-    rubocop-ast (1.31.1)
-      parser (>= 3.3.0.4)
-    rubocop-capybara (2.20.0)
+    rubocop-ast (1.30.0)
+      parser (>= 3.2.1.0)
+    rubocop-capybara (2.19.0)
       rubocop (~> 1.41)
-    rubocop-discourse (3.7.1)
-      activesupport (>= 6.1)
-      rubocop (>= 1.59.0)
-      rubocop-capybara (>= 2.0.0)
-      rubocop-factory_bot (>= 2.0.0)
-      rubocop-rspec (>= 2.25.0)
-    rubocop-factory_bot (2.25.1)
-      rubocop (~> 1.41)
-    rubocop-rspec (2.27.1)
+    rubocop-discourse (3.4.0)
+      rubocop (>= 1.1.0)
+      rubocop-rspec (>= 2.0.0)
+    rubocop-factory_bot (2.24.0)
+      rubocop (~> 1.33)
+    rubocop-rspec (2.25.0)
       rubocop (~> 1.40)
       rubocop-capybara (~> 2.17)
       rubocop-factory_bot (~> 2.22)
     ruby-progressbar (1.13.0)
     syntax_tree (6.2.0)
       prettier_print (>= 1.2.0)
-    tzinfo (2.0.6)
-      concurrent-ruby (~> 1.0)
     unicode-display_width (2.5.0)
 
 PLATFORMS
+  arm64-darwin-20
   ruby
+  x86_64-darwin-18
+  x86_64-darwin-19
+  x86_64-darwin-20
+  x86_64-linux
 
 DEPENDENCIES
   rubocop-discourse
   syntax_tree
 
 BUNDLED WITH
-   2.5.4
+   2.4.21

admin/assets/javascripts/discourse/routes/admin-plugins-show-discourse-ai-ai-personas-new.js

@@ -1,23 +0,0 @@
-import { AUTO_GROUPS } from "discourse/lib/constants";
-import DiscourseRoute from "discourse/routes/discourse";
-
-export default DiscourseRoute.extend({
-  async model() {
-    const record = this.store.createRecord("ai-persona");
-    record.set("allowed_group_ids", [AUTO_GROUPS.trust_level_0.id]);
-    record.set("rag_uploads", []);
-    // these match the defaults on the table
-    record.set("rag_chunk_tokens", 374);
-    record.set("rag_chunk_overlap_tokens", 10);
-    record.set("rag_conversation_chunks", 10);
-    return record;
-  },
-
-  setupController(controller, model) {
-    this._super(controller, model);
-    controller.set(
-      "allPersonas",
-      this.modelFor("adminPlugins.show.discourse-ai.ai-personas")
-    );
-  },
-});

admin/assets/javascripts/discourse/routes/admin-plugins-show-discourse-ai-index.js

@@ -1,12 +0,0 @@
-import { inject as service } from "@ember/service";
-import DiscourseRoute from "discourse/routes/discourse";
-
-export default class DiscourseAiIndexRoute extends DiscourseRoute {
-  @service router;
-
-  beforeModel() {
-    return this.router.transitionTo(
-      "adminPlugins.show.discourse-ai.ai-personas.index"
-    );
-  }
-}

admin/assets/javascripts/discourse/templates/admin-plugins/show/discourse-ai/ai-personas/index.hbs

@@ -1 +0,0 @@
-<AiPersonaListEditor @personas={{this.model}} />

app/controllers/discourse_ai/admin/ai_personas_controller.rb

@@ -3,10 +3,7 @@
 module DiscourseAi
   module Admin
     class AiPersonasController < ::Admin::AdminController
-      requires_plugin ::DiscourseAi::PLUGIN_NAME
-
-      before_action :find_ai_persona,
-                    only: %i[show update destroy create_user indexing_status_check]
+      before_action :find_ai_persona, only: %i[show update destroy]
 
       def index
         ai_personas =
@@ -15,15 +12,11 @@ module DiscourseAi
             # localized for system personas
             LocalizedAiPersonaSerializer.new(persona, root: false)
           end
-        tools =
-          DiscourseAi::AiBot::Personas::Persona.all_available_tools.map do |tool|
-            AiToolSerializer.new(tool, root: false)
+        commands =
+          DiscourseAi::AiBot::Personas::Persona.all_available_commands.map do |command|
+            { id: command.to_s.split("::").last, name: command.name.humanize.titleize }
           end
-        llms =
-          DiscourseAi::Configuration::LlmEnumerator.values.map do |hash|
-            { id: hash[:value], name: hash[:name] }
-          end
-        render json: { ai_personas: ai_personas, meta: { commands: tools, llms: llms } }
+        render json: { ai_personas: ai_personas, meta: { commands: commands } }
       end
 
       def show
@@ -31,25 +24,16 @@ module DiscourseAi
       end
 
       def create
-        ai_persona = AiPersona.new(ai_persona_params.except(:rag_uploads))
+        ai_persona = AiPersona.new(ai_persona_params)
         if ai_persona.save
-          RagDocumentFragment.link_persona_and_uploads(ai_persona, attached_upload_ids)
-
           render json: { ai_persona: ai_persona }, status: :created
         else
           render_json_error ai_persona
         end
       end
 
-      def create_user
-        user = @ai_persona.create_user!
-        render json: BasicUserSerializer.new(user, root: "user")
-      end
-
       def update
-        if @ai_persona.update(ai_persona_params.except(:rag_uploads))
-          RagDocumentFragment.update_persona_uploads(@ai_persona, attached_upload_ids)
-
+        if @ai_persona.update(ai_persona_params)
           render json: @ai_persona
         else
           render_json_error @ai_persona
@@ -64,117 +48,23 @@ module DiscourseAi
         end
       end
 
-      def upload_file
-        file = params[:file] || params[:files].first
-
-        if !SiteSetting.ai_embeddings_enabled?
-          raise Discourse::InvalidAccess.new("Embeddings not enabled")
-        end
-
-        validate_extension!(file.original_filename)
-        validate_file_size!(file.tempfile.size)
-
-        hijack do
-          upload =
-            UploadCreator.new(
-              file.tempfile,
-              file.original_filename,
-              type: "discourse_ai_rag_upload",
-              skip_validations: true,
-            ).create_for(current_user.id)
-
-          if upload.persisted?
-            render json: UploadSerializer.new(upload)
-          else
-            render json: failed_json.merge(errors: upload.errors.full_messages), status: 422
-          end
-        end
-      end
-
-      def indexing_status_check
-        render json: RagDocumentFragment.indexing_status(@ai_persona, @ai_persona.uploads)
-      end
-
       private
 
       def find_ai_persona
         @ai_persona = AiPersona.find(params[:id])
       end
 
-      def attached_upload_ids
-        ai_persona_params[:rag_uploads].to_a.map { |h| h[:id] }
-      end
-
       def ai_persona_params
-        permitted =
-          params.require(:ai_persona).permit(
-            :name,
-            :description,
-            :enabled,
-            :system_prompt,
-            :priority,
-            :top_p,
-            :temperature,
-            :default_llm,
-            :user_id,
-            :mentionable,
-            :max_context_posts,
-            :vision_enabled,
-            :vision_max_pixels,
-            :rag_chunk_tokens,
-            :rag_chunk_overlap_tokens,
-            :rag_conversation_chunks,
-            :question_consolidator_llm,
-            :role,
-            allowed_group_ids: [],
-            rag_uploads: [:id],
-          )
-
-        if commands = params.dig(:ai_persona, :commands)
-          permitted[:commands] = permit_commands(commands)
-        end
-
-        permitted
-      end
-
-      def permit_commands(commands)
-        return [] if !commands.is_a?(Array)
-
-        commands.filter_map do |command, options|
-          break nil if !command.is_a?(String)
-          options&.permit! if options && options.is_a?(ActionController::Parameters)
-
-          if options
-            [command, options]
-          else
-            command
-          end
-        end
-      end
-
-      def validate_extension!(filename)
-        extension = File.extname(filename)[1..-1] || ""
-        authorized_extensions = %w[txt md]
-        if !authorized_extensions.include?(extension)
-          raise Discourse::InvalidParameters.new(
-                  I18n.t(
-                    "upload.unauthorized",
-                    authorized_extensions: authorized_extensions.join(" "),
-                  ),
-                )
-        end
-      end
-
-      def validate_file_size!(filesize)
-        max_size_bytes = 20.megabytes
-        if filesize > max_size_bytes
-          raise Discourse::InvalidParameters.new(
-                  I18n.t(
-                    "upload.attachments.too_large_humanized",
-                    max_size: ActiveSupport::NumberHelper.number_to_human_size(max_size_bytes),
-                  ),
-                )
-        end
+        params.require(:ai_persona).permit(
+          :name,
+          :description,
+          :enabled,
+          :system_prompt,
+          :enabled,
+          :priority,
+          allowed_group_ids: [],
+          commands: [],
+        )
       end
     end
   end

app/controllers/discourse_ai/ai_bot/bot_controller.rb

@@ -6,21 +6,6 @@ module DiscourseAi
       requires_plugin ::DiscourseAi::PLUGIN_NAME
       requires_login
 
-      def show_debug_info
-        post = Post.find(params[:post_id])
-        guardian.ensure_can_debug_ai_bot_conversation!(post)
-
-        posts =
-          Post
-            .where("post_number <= ?", post.post_number)
-            .where(topic_id: post.topic_id)
-            .order("post_number DESC")
-
-        debug_info = AiApiAuditLog.where(post: posts).order(created_at: :desc).first
-
-        render json: debug_info, status: 200
-      end
-
       def stop_streaming_response
         post = Post.find(params[:post_id])
         guardian.ensure_can_see!(post)

app/controllers/discourse_ai/ai_bot/shared_ai_conversations_controller.rb

@@ -1,108 +0,0 @@
-# frozen_string_literal: true
-
-module DiscourseAi
-  module AiBot
-    class SharedAiConversationsController < ::ApplicationController
-      requires_plugin ::DiscourseAi::PLUGIN_NAME
-      requires_login only: %i[create update destroy]
-      before_action :require_site_settings!
-
-      skip_before_action :preload_json, :check_xhr, :redirect_to_login_if_required, only: %i[show]
-
-      def create
-        ensure_allowed_create!
-
-        RateLimiter.new(current_user, "share-ai-conversation", 10, 1.minute).performed!
-
-        shared_conversation = SharedAiConversation.share_conversation(current_user, @topic)
-
-        if shared_conversation.persisted?
-          render json: success_json.merge(share_key: shared_conversation.share_key)
-        else
-          render json: failed_json.merge(error: I18n.t("discourse_ai.share_ai.failed_to_share")),
-                 status: :unprocessable_entity
-        end
-      end
-
-      def destroy
-        ensure_allowed_destroy!
-
-        SharedAiConversation.destroy_conversation(@shared_conversation)
-
-        render json:
-                 success_json.merge(message: I18n.t("discourse_ai.share_ai.conversation_deleted"))
-      end
-
-      def show
-        @shared_conversation = SharedAiConversation.find_by(share_key: params[:share_key])
-        raise Discourse::NotFound if @shared_conversation.blank?
-
-        expires_in 1.minute, public: true
-        response.headers["X-Robots-Tag"] = "noindex"
-
-        if request.format.json?
-          render json: success_json.merge(@shared_conversation.to_json)
-        else
-          render "show", layout: false
-        end
-      end
-
-      def preview
-        ensure_allowed_preview!
-        data = SharedAiConversation.build_conversation_data(@topic, include_usernames: true)
-        data[:error] = @error if @error
-        data[:share_key] = @shared_conversation.share_key if @shared_conversation
-        data[:topic_id] = @topic.id
-        render json: data
-      end
-
-      private
-
-      def require_site_settings!
-        if !SiteSetting.discourse_ai_enabled ||
-             !SiteSetting.ai_bot_public_sharing_allowed_groups_map.any? ||
-             !SiteSetting.ai_bot_enabled
-          raise Discourse::NotFound
-        end
-      end
-
-      def ensure_allowed_preview!
-        @topic = Topic.find_by(id: params[:topic_id])
-        raise Discourse::NotFound if !@topic
-
-        @shared_conversation = SharedAiConversation.find_by(target: @topic)
-
-        @error = DiscourseAi::AiBot::EntryPoint.ai_share_error(@topic, guardian)
-        if @error == :not_allowed
-          raise Discourse::InvalidAccess.new(
-                  nil,
-                  nil,
-                  custom_message: "discourse_ai.share_ai.errors.#{@error}",
-                )
-        end
-      end
-
-      def ensure_allowed_destroy!
-        @shared_conversation = SharedAiConversation.find_by(share_key: params[:share_key])
-
-        raise Discourse::InvalidAccess if @shared_conversation.blank?
-
-        guardian.ensure_can_destroy_shared_ai_bot_conversation!(@shared_conversation)
-      end
-
-      def ensure_allowed_create!
-        @topic = Topic.find_by(id: params[:topic_id])
-        raise Discourse::NotFound if !@topic
-
-        error = DiscourseAi::AiBot::EntryPoint.ai_share_error(@topic, guardian)
-        if error
-          raise Discourse::InvalidAccess.new(
-                  nil,
-                  nil,
-                  custom_message: "discourse_ai.share_ai.errors.#{error}",
-                )
-        end
-      end
-    end
-  end
-end

app/controllers/discourse_ai/ai_helper/assistant_controller.rb

@@ -8,7 +8,14 @@ module DiscourseAi
       before_action :ensure_can_request_suggestions
       before_action :rate_limiter_performed!, except: %i[prompts]
 
-      include SecureUploadEndpointHelpers
+      def prompts
+        render json:
+                 ActiveModel::ArraySerializer.new(
+                   DiscourseAi::AiHelper::Assistant.new.available_prompts,
+                   root: false,
+                 ),
+               status: 200
+      end
 
       def suggest
         input = get_text_param!
@@ -16,15 +23,10 @@ module DiscourseAi
         prompt = CompletionPrompt.find_by(id: params[:mode])
 
         raise Discourse::InvalidParameters.new(:mode) if !prompt || !prompt.enabled?
-
-        if prompt.id == CompletionPrompt::CUSTOM_PROMPT
-          raise Discourse::InvalidParameters.new(:custom_prompt) if params[:custom_prompt].blank?
-
-          prompt.custom_instruction = params[:custom_prompt]
+        if prompt.prompt_type == "custom_prompt" && params[:custom_prompt].blank?
+          raise Discourse::InvalidParameters.new(:custom_prompt)
         end
 
-        suggest_thumbnails(input) if prompt.id == CompletionPrompt::ILLUSTRATE_POST
-
         hijack do
           render json:
                    DiscourseAi::AiHelper::Assistant.new.generate_and_send_prompt(
@@ -34,7 +36,7 @@ module DiscourseAi
                    ),
                  status: 200
         end
-      rescue DiscourseAi::Completions::Endpoints::Base::CompletionFailed
+      rescue DiscourseAi::Completions::Endpoints::Base::CompletionFailed => e
         render_json_error I18n.t("discourse_ai.ai_helper.errors.completion_request_failed"),
                           status: 502
       end
@@ -54,7 +56,7 @@ module DiscourseAi
                    ),
                  status: 200
         end
-      rescue DiscourseAi::Completions::Endpoints::Base::CompletionFailed
+      rescue DiscourseAi::Completions::Endpoints::Base::CompletionFailed => e
         render_json_error I18n.t("discourse_ai.ai_helper.errors.completion_request_failed"),
                           status: 502
       end
@@ -79,7 +81,9 @@ module DiscourseAi
                status: 200
       end
 
-      def suggest_thumbnails(input)
+      def suggest_thumbnails
+        input = get_text_param!
+
         hijack do
           thumbnails = DiscourseAi::AiHelper::Painter.new.commission_thumbnails(input, current_user)
 
@@ -94,40 +98,13 @@ module DiscourseAi
 
         raise Discourse::InvalidParameters.new(:post_id) unless post
 
-        Jobs.enqueue(
-          :stream_post_helper,
-          post_id: post.id,
-          user_id: current_user.id,
-          term_to_explain: term_to_explain,
-        )
-
-        render json: { success: true }, status: 200
-      rescue DiscourseAi::Completions::Endpoints::Base::CompletionFailed
-        render_json_error I18n.t("discourse_ai.ai_helper.errors.completion_request_failed"),
-                          status: 502
-      end
-
-      def caption_image
-        image_url = params[:image_url]
-        raise Discourse::InvalidParameters.new(:image_url) if !image_url
-
-        image = upload_from_full_url(image_url)
-        raise Discourse::NotFound if image.blank?
-        final_image_url = get_caption_url(image, image_url)
-
-        hijack do
-          caption =
-            DiscourseAi::AiHelper::Assistant.new.generate_image_caption(
-              final_image_url,
-              current_user,
-            )
-          render json: {
-                   caption:
-                     "#{caption} (#{I18n.t("discourse_ai.ai_helper.image_caption.attribution")})",
-                 },
-                 status: 200
-        end
-      rescue DiscourseAi::Completions::Endpoints::Base::CompletionFailed, Net::HTTPBadResponse
+        render json:
+                 DiscourseAi::AiHelper::TopicHelper.new(current_user).explain(
+                   term_to_explain,
+                   post,
+                 ),
+               status: 200
+      rescue DiscourseAi::Completions::Endpoints::Base::CompletionFailed => e
         render_json_error I18n.t("discourse_ai.ai_helper.errors.completion_request_failed"),
                           status: 502
       end
@@ -147,18 +124,14 @@ module DiscourseAi
       end
 
       def ensure_can_request_suggestions
-        if !current_user.in_any_groups?(SiteSetting.ai_helper_allowed_groups_map)
-          raise Discourse::InvalidAccess
-        end
-      end
+        user_group_ids = current_user.group_ids
 
-      def get_caption_url(image_upload, image_url)
-        if image_upload.secure?
-          check_secure_upload_permission(image_upload)
-          return Discourse.store.url_for(image_upload)
-        end
+        allowed =
+          SiteSetting.ai_helper_allowed_groups_map.any? do |group_id|
+            user_group_ids.include?(group_id)
+          end
 
-        UrlHelper.absolute(image_url)
+        raise Discourse::InvalidAccess if !allowed
       end
     end
   end

app/controllers/discourse_ai/embeddings/embeddings_controller.rb

@@ -36,34 +36,6 @@ module DiscourseAi
           render_serialized(grouped_results, GroupedSearchResultSerializer, result: grouped_results)
         end
       end
-
-      def quick_search
-        query = params[:q].to_s
-
-        if query.length < SiteSetting.min_search_term_length
-          raise Discourse::InvalidParameters.new(:q)
-        end
-
-        grouped_results =
-          Search::GroupedSearchResults.new(
-            type_filter: SEMANTIC_SEARCH_TYPE,
-            term: query,
-            search_context: guardian,
-            use_pg_headlines_for_excerpt: false,
-          )
-
-        semantic_search = DiscourseAi::Embeddings::SemanticSearch.new(guardian)
-
-        if !semantic_search.cached_query?(query)
-          RateLimiter.new(current_user, "semantic-search", 60, 1.minutes).performed!
-        end
-
-        hijack do
-          semantic_search.quick_search(query).each { |topic_post| grouped_results.add(topic_post) }
-
-          render_serialized(grouped_results, GroupedSearchResultSerializer, result: grouped_results)
-        end
-      end
     end
   end
 end

app/helpers/discourse_ai/ai_bot/shared_ai_conversations_helper.rb

@@ -1,15 +0,0 @@
-# frozen_string_literal: true
-module DiscourseAi
-  module AiBot
-    module SharedAiConversationsHelper
-      # bump up version when assets change
-      # long term we may want to change this cause it is hard to remember
-      # to bump versions, but for now this does the job
-      VERSION = "1"
-
-      def share_asset_url(short_path)
-        ::UrlHelper.local_cdn_url("/plugins/discourse-ai/ai-share/#{short_path}?#{VERSION}")
-      end
-    end
-  end
-end

app/jobs/regular/create_ai_reply.rb

@@ -1,32 +0,0 @@
-# frozen_string_literal: true
-
-module ::Jobs
-  class CreateAiReply < ::Jobs::Base
-    sidekiq_options retry: false
-
-    def execute(args)
-      return unless bot_user = User.find_by(id: args[:bot_user_id])
-      return unless post = Post.includes(:topic).find_by(id: args[:post_id])
-      persona_id = args[:persona_id]
-
-      begin
-        persona =
-          if args[:skip_persona_security_check]
-            persona = AiPersona.all_personas.find { |persona| persona.id == persona_id }
-          else
-            persona = DiscourseAi::AiBot::Personas::Persona.find_by(user: post.user, id: persona_id)
-          end
-
-        raise DiscourseAi::AiBot::Bot::BOT_NOT_FOUND if persona.nil?
-
-        bot = DiscourseAi::AiBot::Bot.as(bot_user, persona: persona.new)
-
-        DiscourseAi::AiBot::Playground.new(bot).reply_to(post)
-      rescue DiscourseAi::AiBot::Bot::BOT_NOT_FOUND
-        Rails.logger.warn(
-          "Bot not found for post #{post.id} - perhaps persona was deleted or bot was disabled",
-        )
-      end
-    end
-  end
-end

app/jobs/regular/digest_rag_upload.rb

@@ -1,172 +0,0 @@
-# frozen_string_literal: true
-
-module ::Jobs
-  class DigestRagUpload < ::Jobs::Base
-    CHUNK_SIZE = 1024
-    CHUNK_OVERLAP = 64
-    MAX_FRAGMENTS = 100_000
-
-    # TODO(roman): Add a way to automatically recover from errors, resulting in unindexed uploads.
-    def execute(args)
-      return if (upload = Upload.find_by(id: args[:upload_id])).nil?
-      return if (ai_persona = AiPersona.find_by(id: args[:ai_persona_id])).nil?
-
-      truncation = DiscourseAi::Embeddings::Strategies::Truncation.new
-      vector_rep =
-        DiscourseAi::Embeddings::VectorRepresentations::Base.current_representation(truncation)
-
-      tokenizer = vector_rep.tokenizer
-      chunk_tokens = ai_persona.rag_chunk_tokens
-      overlap_tokens = ai_persona.rag_chunk_overlap_tokens
-
-      fragment_ids = RagDocumentFragment.where(ai_persona: ai_persona, upload: upload).pluck(:id)
-
-      # Check if this is the first time we process this upload.
-      if fragment_ids.empty?
-        document = get_uploaded_file(upload)
-        return if document.nil?
-
-        RagDocumentFragment.publish_status(upload, { total: 0, indexed: 0, left: 0 })
-
-        fragment_ids = []
-        idx = 0
-
-        ActiveRecord::Base.transaction do
-          chunk_document(
-            file: document,
-            tokenizer: tokenizer,
-            chunk_tokens: chunk_tokens,
-            overlap_tokens: overlap_tokens,
-          ) do |chunk, metadata|
-            fragment_ids << RagDocumentFragment.create!(
-              ai_persona: ai_persona,
-              fragment: chunk,
-              fragment_number: idx + 1,
-              upload: upload,
-              metadata: metadata,
-            ).id
-
-            idx += 1
-
-            if idx > MAX_FRAGMENTS
-              Rails.logger.warn("Upload #{upload.id} has too many fragments, truncating.")
-              break
-            end
-          end
-        end
-      end
-
-      fragment_ids.each_slice(50) do |slice|
-        Jobs.enqueue(:generate_rag_embeddings, fragment_ids: slice)
-      end
-    end
-
-    private
-
-    def chunk_document(file:, tokenizer:, chunk_tokens:, overlap_tokens:)
-      buffer = +""
-      current_metadata = nil
-      done = false
-      overlap = ""
-
-      # generally this will be plenty
-      read_size = chunk_tokens * 10
-
-      while buffer.present? || !done
-        if buffer.length < read_size
-          read = file.read(read_size)
-          done = true if read.nil?
-
-          read = Encodings.to_utf8(read) if read
-
-          buffer << (read || "")
-        end
-
-        # at this point we unconditionally have 2x CHUNK_SIZE worth of data in the buffer
-        metadata_regex = /\[\[metadata (.*?)\]\]/m
-
-        before_metadata, new_metadata, after_metadata = buffer.split(metadata_regex)
-        to_chunk = nil
-
-        if before_metadata.present?
-          to_chunk = before_metadata
-        elsif after_metadata.present?
-          current_metadata = new_metadata
-          to_chunk = after_metadata
-          buffer = buffer.split(metadata_regex, 2).last
-          overlap = ""
-        else
-          current_metadata = new_metadata
-          buffer = buffer.split(metadata_regex, 2).last
-          overlap = ""
-          next
-        end
-
-        chunk, split_char = first_chunk(to_chunk, tokenizer: tokenizer, chunk_tokens: chunk_tokens)
-        buffer = buffer[chunk.length..-1]
-
-        processed_chunk = overlap + chunk
-
-        processed_chunk.strip!
-        processed_chunk.gsub!(/\n[\n]+/, "\n\n")
-
-        yield processed_chunk, current_metadata
-
-        current_chunk_tokens = tokenizer.encode(chunk)
-        overlap_token_ids = current_chunk_tokens[-overlap_tokens..-1] || current_chunk_tokens
-
-        overlap = ""
-
-        while overlap_token_ids.present?
-          begin
-            overlap = tokenizer.decode(overlap_token_ids) + split_char
-            break if overlap.encoding == Encoding::UTF_8
-          rescue StandardError
-            # it is possible that we truncated mid char
-          end
-          overlap_token_ids.shift
-        end
-
-        # remove first word it is probably truncated
-        overlap = overlap.split(" ", 2).last
-      end
-    end
-
-    def first_chunk(text, chunk_tokens:, tokenizer:, splitters: ["\n\n", "\n", ".", ""])
-      return text, " " if tokenizer.tokenize(text).length <= chunk_tokens
-
-      splitters = splitters.find_all { |s| text.include?(s) }.compact
-
-      buffer = +""
-      split_char = nil
-
-      splitters.each do |splitter|
-        split_char = splitter
-
-        text
-          .split(split_char)
-          .each do |part|
-            break if tokenizer.tokenize(buffer + split_char + part).length > chunk_tokens
-            buffer << split_char
-            buffer << part
-          end
-        break if buffer.length > 0
-      end
-
-      [buffer, split_char]
-    end
-
-    def get_uploaded_file(upload)
-      store = Discourse.store
-      @file ||=
-        if store.external?
-          # Upload#filesize could be approximate.
-          # add two extra Mbs to make sure that we'll be able to download the upload.
-          max_filesize = upload.filesize + 2.megabytes
-          store.download(upload, max_file_size_kb: max_filesize)
-        else
-          File.open(store.path_for(upload))
-        end
-    end
-  end
-end

app/jobs/regular/generate_embeddings.rb

@@ -1,26 +0,0 @@
-# frozen_string_literal: true
-
-module Jobs
-  class GenerateEmbeddings < ::Jobs::Base
-    sidekiq_options queue: "low"
-
-    def execute(args)
-      return unless SiteSetting.ai_embeddings_enabled
-      return if args[:target_type].blank? || args[:target_id].blank?
-      target = args[:target_type].constantize.find_by_id(args[:target_id])
-      return if target.nil? || target.deleted_at.present?
-
-      topic = target.is_a?(Topic) ? target : target.topic
-      post = target.is_a?(Post) ? target : target.first_post
-      return unless topic.present? && post.present?
-      return if topic.private_message? && !SiteSetting.ai_embeddings_generate_for_pms
-      return if post.raw.blank?
-
-      strategy = DiscourseAi::Embeddings::Strategies::Truncation.new
-      vector_rep =
-        DiscourseAi::Embeddings::VectorRepresentations::Base.current_representation(strategy)
-
-      vector_rep.generate_representation_from(target)
-    end
-  end
-end

app/jobs/regular/generate_rag_embeddings.rb

@@ -1,27 +0,0 @@
-# frozen_string_literal: true
-
-module ::Jobs
-  class GenerateRagEmbeddings < ::Jobs::Base
-    sidekiq_options queue: "ultra_low"
-    # we could also restrict concurrency but this takes so long if it is not concurrent
-
-    def execute(args)
-      return if (fragments = RagDocumentFragment.where(id: args[:fragment_ids].to_a)).empty?
-
-      truncation = DiscourseAi::Embeddings::Strategies::Truncation.new
-      vector_rep =
-        DiscourseAi::Embeddings::VectorRepresentations::Base.current_representation(truncation)
-
-      # generate_representation_from checks compares the digest value to make sure
-      # the embedding is only generated once per fragment unless something changes.
-      fragments.map { |fragment| vector_rep.generate_representation_from(fragment) }
-
-      last_fragment = fragments.last
-      ai_persona = last_fragment.ai_persona
-      upload = last_fragment.upload
-
-      indexing_status = RagDocumentFragment.indexing_status(ai_persona, [upload])[upload.id]
-      RagDocumentFragment.publish_status(upload, indexing_status)
-    end
-  end
-end

app/jobs/regular/shared_conversation_adjust_upload_security.rb

@@ -1,51 +0,0 @@
-# frozen_string_literal: true
-
-module ::Jobs
-  class SharedConversationAdjustUploadSecurity < ::Jobs::Base
-    def execute(args)
-      if args[:conversation_id].present?
-        # The conversation context includes post cooked content so this
-        # must be updated when target uploads security changes.
-        update_conversation(args[:conversation_id])
-      elsif args[:target_id].present? && args[:target_type].present?
-        # If we deleted the conversation then we just need to update the target's
-        # uploads security, no need to update the conversation.
-        update_target(args[:target_id], args[:target_type])
-      end
-    end
-
-    private
-
-    def update_conversation(conversation_id)
-      conversation = SharedAiConversation.find_by(id: conversation_id)
-      return if conversation.blank?
-
-      # NOTE: Only Topics are supported for now, in future we will need a more flexible
-      # way of doing this.
-      if conversation.target_type == "Topic"
-        rebaked_posts = TopicUploadSecurityManager.new(conversation.target).run
-
-        if rebaked_posts.any?
-          new_context =
-            conversation.context.map do |context_post|
-              rebaked_post = rebaked_posts.find { |p| p.id == context_post["id"] }
-              context_post["cooked"] = rebaked_post.cooked if rebaked_post
-              context_post
-            end
-
-          conversation.update(context: new_context)
-        end
-      end
-    end
-
-    def update_target(target_id, target_type)
-      # NOTE: Only Topics are supported for now, in future we will need a more flexible
-      # way of doing this.
-      if target_type == "Topic"
-        topic = target_type.constantize.find_by(id: target_id)
-        return if topic.blank?
-        TopicUploadSecurityManager.new(topic).run
-      end
-    end
-  end
-end

app/jobs/regular/stream_post_helper.rb

@@ -1,34 +0,0 @@
-# frozen_string_literal: true
-
-module Jobs
-  class StreamPostHelper < ::Jobs::Base
-    sidekiq_options retry: false
-
-    def execute(args)
-      return unless post = Post.includes(:topic).find_by(id: args[:post_id])
-      return unless user = User.find_by(id: args[:user_id])
-      return unless args[:term_to_explain]
-
-      topic = post.topic
-      reply_to = post.reply_to_post
-
-      return unless user.guardian.can_see?(post)
-
-      prompt = CompletionPrompt.enabled_by_name("explain")
-
-      input = <<~TEXT
-      <term>#{args[:term_to_explain]}</term>
-      <context>#{post.raw}</context>
-          <topic>#{topic.title}</topic>
-          #{reply_to ? "<replyTo>#{reply_to.raw}</replyTo>" : nil}
-        TEXT
-
-      DiscourseAi::AiHelper::Assistant.new.stream_prompt(
-        prompt,
-        input,
-        user,
-        "/discourse-ai/ai-helper/explain/#{post.id}",
-      )
-    end
-  end
-end

app/jobs/scheduled/embeddings_backfill.rb

@@ -1,132 +0,0 @@
-# frozen_string_literal: true
-
-module Jobs
-  class EmbeddingsBackfill < ::Jobs::Scheduled
-    every 5.minutes
-    sidekiq_options queue: "low"
-    cluster_concurrency 1
-
-    def execute(args)
-      return unless SiteSetting.ai_embeddings_enabled
-
-      limit = SiteSetting.ai_embeddings_backfill_batch_size
-
-      if limit > 50_000
-        limit = 50_000
-        Rails.logger.warn(
-          "Limiting backfill batch size to 50,000 to avoid OOM errors, reduce ai_embeddings_backfill_batch_size to avoid this warning",
-        )
-      end
-
-      rebaked = 0
-
-      strategy = DiscourseAi::Embeddings::Strategies::Truncation.new
-      vector_rep =
-        DiscourseAi::Embeddings::VectorRepresentations::Base.current_representation(strategy)
-      table_name = vector_rep.topic_table_name
-
-      topics =
-        Topic
-          .joins("LEFT JOIN #{table_name} ON #{table_name}.topic_id = topics.id")
-          .where(archetype: Archetype.default)
-          .where(deleted_at: nil)
-          .order("topics.bumped_at DESC")
-          .limit(limit - rebaked)
-
-      rebaked += populate_topic_embeddings(vector_rep, topics)
-
-      vector_rep.consider_indexing
-
-      return if rebaked >= limit
-
-      # Then, we'll try to backfill embeddings for topics that have outdated
-      # embeddings, be it model or strategy version
-      relation = topics.where(<<~SQL)
-          #{table_name}.model_version < #{vector_rep.version}
-          OR
-          #{table_name}.strategy_version < #{strategy.version}
-        SQL
-
-      rebaked += populate_topic_embeddings(vector_rep, relation)
-
-      return if rebaked >= limit
-
-      # Finally, we'll try to backfill embeddings for topics that have outdated
-      # embeddings due to edits or new replies. Here we only do 10% of the limit
-      relation =
-        topics.where("#{table_name}.updated_at < ?", 7.days.ago).limit((limit - rebaked) / 10)
-
-      populate_topic_embeddings(vector_rep, relation)
-
-      return if rebaked >= limit
-
-      return unless SiteSetting.ai_embeddings_per_post_enabled
-
-      # Now for posts
-      table_name = vector_rep.post_table_name
-
-      posts =
-        Post
-          .joins("LEFT JOIN #{table_name} ON #{table_name}.post_id = posts.id")
-          .where(deleted_at: nil)
-          .limit(limit - rebaked)
-
-      # First, we'll try to backfill embeddings for posts that have none
-      posts
-        .where("#{table_name}.post_id IS NULL")
-        .find_each do |t|
-          vector_rep.generate_representation_from(t)
-          rebaked += 1
-        end
-
-      vector_rep.consider_indexing
-
-      return if rebaked >= limit
-
-      # Then, we'll try to backfill embeddings for posts that have outdated
-      # embeddings, be it model or strategy version
-      posts
-        .where(<<~SQL)
-          #{table_name}.model_version < #{vector_rep.version}
-          OR
-          #{table_name}.strategy_version < #{strategy.version}
-        SQL
-        .find_each do |t|
-          vector_rep.generate_representation_from(t)
-          rebaked += 1
-        end
-
-      return if rebaked >= limit
-
-      # Finally, we'll try to backfill embeddings for posts that have outdated
-      # embeddings due to edits. Here we only do 10% of the limit
-      posts
-        .where("#{table_name}.updated_at < ?", 7.days.ago)
-        .order("random()")
-        .limit((limit - rebaked) / 10)
-        .pluck(:id)
-        .each do |id|
-          vector_rep.generate_representation_from(Post.find_by(id: id))
-          rebaked += 1
-        end
-
-      rebaked
-    end
-
-    private
-
-    def populate_topic_embeddings(vector_rep, topics)
-      done = 0
-      ids = topics.where("#{vector_rep.topic_table_name}.topic_id IS NULL").pluck("topics.id")
-
-      ids.each do |id|
-        topic = Topic.find_by(id: id)
-        if topic
-          vector_rep.generate_representation_from(topic)
-          done += 1
-        end
-      end
-      done
-    end
-  end
-end

app/mailers/ai_report_mailer.rb

@@ -1,9 +0,0 @@
-# frozen_string_literal: true
-
-class AiReportMailer < ActionMailer::Base
-  include Email::BuildEmailHelper
-
-  def send_report(to_address, opts = {})
-    build_email(to_address, **opts)
-  end
-end

app/models/ai_api_audit_log.rb

@@ -1,16 +1,10 @@
 # frozen_string_literal: true
 
 class AiApiAuditLog < ActiveRecord::Base
-  belongs_to :post
-  belongs_to :topic
-
   module Provider
     OpenAI = 1
     Anthropic = 2
     HuggingFaceTextGeneration = 3
-    Gemini = 4
-    Vllm = 5
-    Cohere = 6
   end
 end
 

app/models/completion_prompt.rb

@@ -5,48 +5,25 @@ class CompletionPrompt < ActiveRecord::Base
   self.ignored_columns = ["provider"]
 
   TRANSLATE = -301
-  GENERATE_TITLES = -307
+  GENERATE_TITLES = -302
   PROOFREAD = -303
   MARKDOWN_TABLE = -304
   CUSTOM_PROMPT = -305
   EXPLAIN = -306
-  ILLUSTRATE_POST = -308
 
   enum :prompt_type, { text: 0, list: 1, diff: 2 }
 
   validates :messages, length: { maximum: 20 }
   validate :each_message_length
 
-  after_commit { DiscourseAi::AiHelper::Assistant.clear_prompt_cache! }
-
   def self.enabled_by_name(name)
     where(enabled: true).find_by(name: name)
   end
 
-  attr_accessor :custom_instruction
-
   def messages_with_input(input)
     return unless input
 
-    user_input =
-      if id == CUSTOM_PROMPT && custom_instruction.present?
-        "#{custom_instruction}:\n#{input}"
-      else
-        input
-      end
-
-    instructions = [messages_hash[:insts], messages_hash[:post_insts].to_s].join("\n")
-
-    prompt = DiscourseAi::Completions::Prompt.new(instructions)
-
-    messages_hash[:examples].to_a do |example_pair|
-      prompt.push(type: :user, content: example_pair.first)
-      prompt.push(type: :model, content: example_pair.second)
-    end
-
-    prompt.push(type: :user, content: "<input>#{user_input}</input>")
-
-    prompt
+    messages_hash.merge(input: "<input>#{input}</input")
   end
 
   private
@@ -76,8 +53,6 @@ end
 #  created_at      :datetime         not null
 #  updated_at      :datetime         not null
 #  messages        :jsonb
-#  temperature     :integer
-#  stop_sequences  :string           is an Array
 #
 # Indexes
 #

app/models/post_custom_prompt.rb

@@ -7,18 +7,3 @@ end
 class ::Post
   has_one :post_custom_prompt, dependent: :destroy
 end
-
-# == Schema Information
-#
-# Table name: post_custom_prompts
-#
-#  id            :bigint           not null, primary key
-#  post_id       :integer          not null
-#  custom_prompt :json             not null
-#  created_at    :datetime         not null
-#  updated_at    :datetime         not null
-#
-# Indexes
-#
-#  index_post_custom_prompts_on_post_id  (post_id) UNIQUE
-#

app/models/rag_document_fragment.rb

@@ -1,81 +0,0 @@
-# frozen_string_literal: true
-
-class RagDocumentFragment < ActiveRecord::Base
-  belongs_to :upload
-  belongs_to :ai_persona
-
-  class << self
-    def link_persona_and_uploads(persona, upload_ids)
-      return if persona.blank?
-      return if upload_ids.blank?
-      return if !SiteSetting.ai_embeddings_enabled?
-
-      UploadReference.ensure_exist!(upload_ids: upload_ids, target: persona)
-
-      upload_ids.each do |upload_id|
-        Jobs.enqueue(:digest_rag_upload, ai_persona_id: persona.id, upload_id: upload_id)
-      end
-    end
-
-    def update_persona_uploads(persona, upload_ids)
-      return if persona.blank?
-      return if !SiteSetting.ai_embeddings_enabled?
-
-      if upload_ids.blank?
-        RagDocumentFragment.where(ai_persona: persona).destroy_all
-        UploadReference.where(target: persona).destroy_all
-      else
-        RagDocumentFragment.where(ai_persona: persona).where.not(upload_id: upload_ids).destroy_all
-        link_persona_and_uploads(persona, upload_ids)
-      end
-    end
-
-    def indexing_status(persona, uploads)
-      truncation = DiscourseAi::Embeddings::Strategies::Truncation.new
-      vector_rep =
-        DiscourseAi::Embeddings::VectorRepresentations::Base.current_representation(truncation)
-
-      embeddings_table = vector_rep.rag_fragments_table_name
-
-      results = DB.query(<<~SQL, persona_id: persona.id, upload_ids: uploads.map(&:id))
-        SELECT
-          uploads.id,
-          SUM(CASE WHEN (rdf.upload_id IS NOT NULL) THEN 1 ELSE 0 END) AS total,
-          SUM(CASE WHEN (eft.rag_document_fragment_id IS NOT NULL) THEN 1 ELSE 0 END) as indexed,
-          SUM(CASE WHEN (rdf.upload_id IS NOT NULL AND eft.rag_document_fragment_id IS NULL) THEN 1 ELSE 0 END) as left
-        FROM uploads
-        LEFT OUTER JOIN rag_document_fragments rdf ON uploads.id = rdf.upload_id AND rdf.ai_persona_id = :persona_id
-        LEFT OUTER JOIN #{embeddings_table} eft ON rdf.id = eft.rag_document_fragment_id
-        WHERE uploads.id IN (:upload_ids)
-        GROUP BY uploads.id
-      SQL
-
-      results.reduce({}) do |acc, r|
-        acc[r.id] = { total: r.total, indexed: r.indexed, left: r.left }
-        acc
-      end
-    end
-
-    def publish_status(upload, status)
-      MessageBus.publish(
-        "/discourse-ai/ai-persona-rag/#{upload.id}",
-        status,
-        user_ids: [upload.user_id],
-      )
-    end
-  end
-end
-
-# == Schema Information
-#
-# Table name: rag_document_fragments
-#
-#  id              :bigint           not null, primary key
-#  fragment        :text             not null
-#  upload_id       :integer          not null
-#  ai_persona_id   :integer          not null
-#  fragment_number :integer          not null
-#  created_at      :datetime         not null
-#  updated_at      :datetime         not null
-#  metadata        :text
-#

app/models/reviewable_ai_chat_message.rb

@@ -34,8 +34,7 @@ class ReviewableAiChatMessage < Reviewable
 
   def build_actions(actions, guardian, args)
     return unless pending?
-
-    return build_action(actions, :ignore, icon: "external-link-alt") if chat_message.blank?
+    return if chat_message.blank?
 
     agree =
       actions.add_bundle("#{id}-agree", icon: "thumbs-up", label: "reviewables.actions.agree.title")

app/models/shared_ai_conversation.rb

@@ -1,215 +0,0 @@
-# frozen_string_literal: true
-
-class SharedAiConversation < ActiveRecord::Base
-  DEFAULT_MAX_POSTS = 100
-
-  belongs_to :user
-  belongs_to :target, polymorphic: true
-
-  validates :user_id, presence: true
-  validates :target, presence: true
-  validates :context, presence: true
-  validates :share_key, presence: true, uniqueness: true
-
-  before_validation :generate_share_key, on: :create
-
-  def self.share_conversation(user, target, max_posts: DEFAULT_MAX_POSTS)
-    raise "Target must be a topic for now" if !target.is_a?(Topic)
-
-    conversation = find_by(user: user, target: target)
-    conversation_data = build_conversation_data(target, max_posts: max_posts)
-
-    conversation =
-      if conversation
-        conversation.update(**conversation_data)
-        conversation
-      else
-        create(user_id: user.id, target: target, **conversation_data)
-      end
-
-    ::Jobs.enqueue(:shared_conversation_adjust_upload_security, conversation_id: conversation.id)
-
-    conversation
-  end
-
-  def self.destroy_conversation(conversation)
-    conversation.destroy
-    ::Jobs.enqueue(
-      :shared_conversation_adjust_upload_security,
-      target_id: conversation.target_id,
-      target_type: conversation.target_type,
-    )
-  end
-
-  # Technically this may end up being a chat message
-  # but this name works
-  class SharedPost
-    attr_accessor :user
-    attr_reader :id, :user_id, :created_at, :cooked, :persona
-    def initialize(post)
-      @id = post[:id]
-      @user_id = post[:user_id]
-      @created_at = DateTime.parse(post[:created_at])
-      @cooked = post[:cooked]
-      @persona = post[:persona]
-    end
-  end
-
-  def populated_context
-    return @populated_context if @populated_context
-    @populated_context = context.map { |post| SharedPost.new(post.symbolize_keys) }
-    populate_user_info!(@populated_context)
-    @populated_context
-  end
-
-  def to_json
-    posts =
-      self.populated_context.map do |post|
-        {
-          id: post.id,
-          cooked: post.cooked,
-          username: post.user.username,
-          created_at: post.created_at,
-        }
-      end
-    { llm_name: self.llm_name, share_key: self.share_key, title: self.title, posts: posts }
-  end
-
-  def url
-    "#{Discourse.base_uri}/discourse-ai/ai-bot/shared-ai-conversations/#{share_key}"
-  end
-
-  def html_excerpt
-    html = +""
-    populated_context.each do |post|
-      text =
-        PrettyText.excerpt(
-          post.cooked,
-          400,
-          text_entities: true,
-          strip_links: true,
-          strip_details: true,
-        )
-
-      html << "<p><b>#{post.user.username}</b>: #{text}</p>"
-      if html.length > 1000
-        html << "<p>...</p>"
-        break
-      end
-    end
-    html << "<a href='#{url}'>#{I18n.t("discourse_ai.share_ai.read_more")}<a>"
-    html
-  end
-
-  def onebox
-    <<~HTML
-    <div>
-      <aside class="onebox allowlistedgeneric" data-onebox-src="#{url}">
-      <header class="source">
-        <span class="onebox-ai-llm-title">#{I18n.t("discourse_ai.share_ai.onebox_title", llm_name: llm_name)}</span>
-        <a href="#{url}" target="_blank" rel="nofollow ugc noopener" tabindex="-1">#{Discourse.base_uri}</a>
-      </header>
-      <article class="onebox-body">
-      <h3><a href="#{url}" rel="nofollow ugc noopener" tabindex="-1">#{title}</a></h3>
-    #{html_excerpt}
-    </article>
-    <div style="clear: both"></div>
-    </aside>
-    </div>
-    HTML
-  end
-
-  def self.excerpt(posts)
-    excerpt = +""
-    posts.each do |post|
-      excerpt << "#{post.user.display_name}: #{post.excerpt(100)} "
-      break if excerpt.length > 1000
-    end
-    excerpt
-  end
-
-  def formatted_excerpt
-    I18n.t("discourse_ai.share_ai.formatted_excerpt", llm_name: llm_name, excerpt: excerpt)
-  end
-
-  def self.build_conversation_data(topic, max_posts: DEFAULT_MAX_POSTS, include_usernames: false)
-    llm_name = nil
-    topic.topic_allowed_users.each do |tu|
-      if DiscourseAi::AiBot::EntryPoint::BOT_USER_IDS.include?(tu.user_id)
-        llm_name = DiscourseAi::AiBot::EntryPoint.find_bot_by_id(tu.user_id)&.llm
-      end
-    end
-
-    llm_name = ActiveSupport::Inflector.humanize(llm_name) if llm_name
-    llm_name ||= I18n.t("discourse_ai.unknown_model")
-
-    persona = nil
-    if persona_id = topic.custom_fields["ai_persona_id"]
-      persona = AiPersona.find_by(id: persona_id.to_i)&.name
-    end
-
-    posts =
-      topic
-        .posts
-        .by_post_number
-        .where(post_type: Post.types[:regular])
-        .where.not(cooked: nil)
-        .where(deleted_at: nil)
-        .limit(max_posts)
-
-    {
-      llm_name: llm_name,
-      title: topic.title,
-      excerpt: excerpt(posts),
-      context:
-        posts.map do |post|
-          mapped = {
-            id: post.id,
-            user_id: post.user_id,
-            created_at: post.created_at,
-            cooked: post.cooked,
-          }
-
-          mapped[:persona] = persona if ::DiscourseAi::AiBot::EntryPoint::BOT_USER_IDS.include?(
-            post.user_id,
-          )
-          mapped[:username] = post.user&.username if include_usernames
-          mapped
-        end,
-    }
-  end
-
-  private
-
-  def populate_user_info!(posts)
-    users = User.where(id: posts.map(&:user_id).uniq).map { |u| [u.id, u] }.to_h
-    posts.each { |post| post.user = users[post.user_id] }
-  end
-
-  def generate_share_key
-    self.share_key = SecureRandom.urlsafe_base64(16)
-  end
-end
-
-# == Schema Information
-#
-# Table name: shared_ai_conversations
-#
-#  id          :bigint           not null, primary key
-#  user_id     :integer          not null
-#  target_id   :integer          not null
-#  target_type :string           not null
-#  title       :string           not null
-#  llm_name    :string           not null
-#  context     :jsonb            not null
-#  share_key   :string           not null
-#  excerpt     :string           not null
-#  created_at  :datetime         not null
-#  updated_at  :datetime         not null
-#
-# Indexes
-#
-#  idx_shared_ai_conversations_user_target                     (user_id,target_id,target_type) UNIQUE
-#  index_shared_ai_conversations_on_share_key                  (share_key) UNIQUE
-#  index_shared_ai_conversations_on_target_id_and_target_type  (target_id,target_type) UNIQUE
-#

app/serializers/ai_tool_serializer.rb

@@ -1,33 +0,0 @@
-# frozen_string_literal: true
-
-class AiToolSerializer < ApplicationSerializer
-  attributes :options, :id, :name, :help
-
-  def include_options?
-    object.accepted_options.present?
-  end
-
-  def id
-    object.to_s.split("::").last
-  end
-
-  def name
-    object.name.humanize.titleize
-  end
-
-  def help
-    object.help
-  end
-
-  def options
-    options = {}
-    object.accepted_options.each do |option|
-      options[option.name] = {
-        name: option.localized_name,
-        description: option.localized_description,
-        type: option.type,
-      }
-    end
-    options
-  end
-end

app/serializers/localized_ai_persona_serializer.rb

@@ -11,31 +11,7 @@ class LocalizedAiPersonaSerializer < ApplicationSerializer
              :priority,
              :commands,
              :system_prompt,
-             :allowed_group_ids,
-             :temperature,
-             :top_p,
-             :mentionable,
-             :default_llm,
-             :user_id,
-             :max_context_posts,
-             :vision_enabled,
-             :vision_max_pixels,
-             :rag_chunk_tokens,
-             :rag_chunk_overlap_tokens,
-             :rag_conversation_chunks,
-             :question_consolidator_llm,
-             :role,
-             :role_tags,
-             :role_category_ids,
-             :role_whispers,
-             :role_max_responses_per_hour
-
-  has_one :user, serializer: BasicUserSerializer, embed: :object
-  has_many :rag_uploads, serializer: UploadSerializer, embed: :object
-
-  def rag_uploads
-    object.uploads
-  end
+             :allowed_group_ids
 
   def name
     object.class_instance.name

app/serializers/reviewable_ai_chat_message_serializer.rb

@@ -10,7 +10,7 @@ class ReviewableAiChatMessageSerializer < ReviewableSerializer
   has_one :chat_channel, serializer: AiChatChannelSerializer, root: false, embed: :objects
 
   def chat_channel
-    object.chat_message&.chat_channel
+    object.chat_message.chat_channel
   end
 
   def target_id