DEV: Update megapixel requirement for small image

.discourse-compatibility

@@ -1,4 +1,3 @@
-< 3.4.0.beta3-dev: decf1bb49d737ea15308400f22f89d1d1e71d13d
 < 3.4.0.beta1-dev: 9d887ad4ace8e33c3fe7dbb39237e882c08b4f0b
 < 3.3.0.beta5-dev: 4d8090002f6dcd8e34d41033606bf131fa221475
 < 3.3.0.beta2-dev: 61890b667c06299841ae88946f84a112f00060e1

.gitignore

@@ -1,4 +1,3 @@
 node_modules
 /gems
 /auto_generated
-.env

.npmrc

@@ -1,2 +0,0 @@
-engine-strict = true
-auto-install-peers = false

Gemfile.lock

@@ -32,7 +32,8 @@ GEM
     rack (3.1.6)
     rainbow (3.1.1)
     regexp_parser (2.9.2)
-    rexml (3.3.9)
+    rexml (3.3.3)
+      strscan
     rubocop (1.64.1)
       json (~> 2.3)
       language_server-protocol (>= 3.17.0)
@@ -69,6 +70,7 @@ GEM
       rubocop (~> 1.61)
       rubocop-rspec (~> 3, >= 3.0.1)
     ruby-progressbar (1.13.0)
+    strscan (3.1.0)
     syntax_tree (6.2.0)
       prettier_print (>= 1.2.0)
     tzinfo (2.0.6)

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

@@ -1,10 +1,6 @@
 import DiscourseRoute from "discourse/routes/discourse";
 
 export default DiscourseRoute.extend({
-  queryParams: {
-    llmTemplate: { refreshModel: true },
-  },
-
   async model() {
     const record = this.store.createRecord("ai-llm");
     record.provider_params = {};
@@ -17,9 +13,5 @@ export default DiscourseRoute.extend({
       "allLlms",
       this.modelFor("adminPlugins.show.discourse-ai-llms")
     );
-    controller.set(
-      "llmTemplate",
-      this.paramsFor(this.routeName).llmTemplate || null
-    );
   },
 });

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

@@ -4,9 +4,7 @@ export default DiscourseRoute.extend({
   async model(params) {
     const allLlms = this.modelFor("adminPlugins.show.discourse-ai-llms");
     const id = parseInt(params.id, 10);
-    const record = allLlms.findBy("id", id);
-    record.provider_params = record.provider_params || {};
-    return record;
+    return allLlms.findBy("id", id);
   },
 
   setupController(controller, model) {

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

@@ -10,8 +10,6 @@ export default DiscourseRoute.extend({
     record.set("rag_chunk_tokens", 374);
     record.set("rag_chunk_overlap_tokens", 10);
     record.set("rag_conversation_chunks", 10);
-    record.set("allow_personal_messages", true);
-    record.set("tool_details", false);
     return record;
   },
 

admin/assets/javascripts/discourse/templates/admin-plugins/show/discourse-ai-llms/new.hbs

@@ -1,5 +1 @@
-<AiLlmsListEditor
-  @llms={{this.allLlms}}
-  @currentLlm={{this.model}}
-  @llmTemplate={{this.llmTemplate}}
-/>
+<AiLlmsListEditor @llms={{this.allLlms}} @currentLlm={{this.model}} />

app/controllers/discourse_ai/admin/ai_llms_controller.rb

@@ -14,9 +14,6 @@ module DiscourseAi
                      llms,
                      each_serializer: LlmModelSerializer,
                      root: false,
-                     scope: {
-                       llm_usage: DiscourseAi::Configuration::LlmEnumerator.global_usage,
-                     },
                    ).as_json,
                  meta: {
                    provider_params: LlmModel.provider_params,
@@ -39,7 +36,7 @@ module DiscourseAi
         llm_model = LlmModel.new(ai_llm_params)
         if llm_model.save
           llm_model.toggle_companion_user
-          render json: LlmModelSerializer.new(llm_model), status: :created
+          render json: { ai_persona: LlmModelSerializer.new(llm_model) }, status: :created
         else
           render_json_error llm_model
         end
@@ -48,10 +45,6 @@ module DiscourseAi
       def update
         llm_model = LlmModel.find(params[:id])
 
-        if llm_model.seeded?
-          return render_json_error(I18n.t("discourse_ai.llm.cannot_edit_builtin"), status: 403)
-        end
-
         if llm_model.update(ai_llm_params(updating: llm_model))
           llm_model.toggle_companion_user
           render json: LlmModelSerializer.new(llm_model)
@@ -63,10 +56,6 @@ module DiscourseAi
       def destroy
         llm_model = LlmModel.find(params[:id])
 
-        if llm_model.seeded?
-          return render_json_error(I18n.t("discourse_ai.llm.cannot_delete_builtin"), status: 403)
-        end
-
         in_use_by = DiscourseAi::Configuration::LlmValidator.new.modules_using(llm_model)
 
         if !in_use_by.empty?
@@ -128,21 +117,11 @@ module DiscourseAi
         new_url = params.dig(:ai_llm, :url)
         permitted[:url] = new_url if permit_url && new_url
 
-        extra_field_names = LlmModel.provider_params.dig(provider&.to_sym)
-        if extra_field_names.present?
-          received_prov_params =
-            params.dig(:ai_llm, :provider_params)&.slice(*extra_field_names.keys)
-
-          if received_prov_params.present?
-            received_prov_params.each do |pname, value|
-              if extra_field_names[pname.to_sym] == :checkbox
-                received_prov_params[pname] = ActiveModel::Type::Boolean.new.cast(value)
-              end
-            end
-
-            permitted[:provider_params] = received_prov_params.permit!
-          end
-        end
+        extra_field_names = LlmModel.provider_params.dig(provider&.to_sym, :fields).to_a
+        received_prov_params = params.dig(:ai_llm, :provider_params)
+        permitted[:provider_params] = received_prov_params.slice(
+          *extra_field_names,
+        ).permit! if !extra_field_names.empty? && received_prov_params.present?
 
         permitted
       end

app/controllers/discourse_ai/admin/ai_personas_controller.rb

@@ -5,7 +5,8 @@ module DiscourseAi
     class AiPersonasController < ::Admin::AdminController
       requires_plugin ::DiscourseAi::PLUGIN_NAME
 
-      before_action :find_ai_persona, only: %i[show update destroy create_user]
+      before_action :find_ai_persona,
+                    only: %i[show update destroy create_user indexing_status_check]
 
       def index
         ai_personas =
@@ -40,7 +41,7 @@ module DiscourseAi
       def create
         ai_persona = AiPersona.new(ai_persona_params.except(:rag_uploads))
         if ai_persona.save
-          RagDocumentFragment.link_target_and_uploads(ai_persona, attached_upload_ids)
+          RagDocumentFragment.link_persona_and_uploads(ai_persona, attached_upload_ids)
 
           render json: {
                    ai_persona: LocalizedAiPersonaSerializer.new(ai_persona, root: false),
@@ -58,7 +59,7 @@ module DiscourseAi
 
       def update
         if @ai_persona.update(ai_persona_params.except(:rag_uploads))
-          RagDocumentFragment.update_target_uploads(@ai_persona, attached_upload_ids)
+          RagDocumentFragment.update_persona_uploads(@ai_persona, attached_upload_ids)
 
           render json: LocalizedAiPersonaSerializer.new(@ai_persona, root: false)
         else
@@ -74,93 +75,39 @@ module DiscourseAi
         end
       end
 
-      def stream_reply
-        persona =
-          AiPersona.find_by(name: params[:persona_name]) ||
-            AiPersona.find_by(id: params[:persona_id])
-        return render_json_error(I18n.t("discourse_ai.errors.persona_not_found")) if persona.nil?
+      def upload_file
+        file = params[:file] || params[:files].first
 
-        return render_json_error(I18n.t("discourse_ai.errors.persona_disabled")) if !persona.enabled
-
-        if persona.default_llm.blank?
-          return render_json_error(I18n.t("discourse_ai.errors.no_default_llm"))
+        if !SiteSetting.ai_embeddings_enabled?
+          raise Discourse::InvalidAccess.new("Embeddings not enabled")
         end
 
-        if params[:query].blank?
-          return render_json_error(I18n.t("discourse_ai.errors.no_query_specified"))
-        end
+        validate_extension!(file.original_filename)
+        validate_file_size!(file.tempfile.size)
 
-        if !persona.user_id
-          return render_json_error(I18n.t("discourse_ai.errors.no_user_for_persona"))
-        end
+        hijack do
+          upload =
+            UploadCreator.new(
+              file.tempfile,
+              file.original_filename,
+              type: "discourse_ai_rag_upload",
+              skip_validations: true,
+            ).create_for(current_user.id)
 
-        if !params[:username] && !params[:user_unique_id]
-          return render_json_error(I18n.t("discourse_ai.errors.no_user_specified"))
-        end
-
-        user = nil
-
-        if params[:username]
-          user = User.find_by_username(params[:username])
-          return render_json_error(I18n.t("discourse_ai.errors.user_not_found")) if user.nil?
-        elsif params[:user_unique_id]
-          user = stage_user
-        end
-
-        raise Discourse::NotFound if user.nil?
-
-        topic_id = params[:topic_id].to_i
-        topic = nil
-
-        if topic_id > 0
-          topic = Topic.find(topic_id)
-
-          if topic.topic_allowed_users.where(user_id: user.id).empty?
-            return render_json_error(I18n.t("discourse_ai.errors.user_not_allowed"))
+          if upload.persisted?
+            render json: UploadSerializer.new(upload)
+          else
+            render json: failed_json.merge(errors: upload.errors.full_messages), status: 422
           end
         end
+      end
 
-        hijack = request.env["rack.hijack"]
-        io = hijack.call
-
-        DiscourseAi::AiBot::ResponseHttpStreamer.queue_streamed_reply(
-          io: io,
-          persona: persona,
-          user: user,
-          topic: topic,
-          query: params[:query].to_s,
-          custom_instructions: params[:custom_instructions].to_s,
-          current_user: current_user,
-        )
+      def indexing_status_check
+        render json: RagDocumentFragment.indexing_status(@ai_persona, @ai_persona.uploads)
       end
 
       private
 
-      AI_STREAM_CONVERSATION_UNIQUE_ID = "ai-stream-conversation-unique-id"
-
-      def stage_user
-        unique_id = params[:user_unique_id].to_s
-        field = UserCustomField.find_by(name: AI_STREAM_CONVERSATION_UNIQUE_ID, value: unique_id)
-
-        if field
-          field.user
-        else
-          preferred_username = params[:preferred_username]
-          username = UserNameSuggester.suggest(preferred_username || unique_id)
-
-          user =
-            User.new(
-              username: username,
-              email: "#{SecureRandom.hex}@invalid.com",
-              staged: true,
-              active: false,
-            )
-          user.custom_fields[AI_STREAM_CONVERSATION_UNIQUE_ID] = unique_id
-          user.save!
-          user
-        end
-      end
-
       def find_ai_persona
         @ai_persona = AiPersona.find(params[:id])
       end
@@ -181,6 +128,7 @@ module DiscourseAi
             :temperature,
             :default_llm,
             :user_id,
+            :mentionable,
             :max_context_posts,
             :vision_enabled,
             :vision_max_pixels,
@@ -188,13 +136,8 @@ module DiscourseAi
             :rag_chunk_overlap_tokens,
             :rag_conversation_chunks,
             :question_consolidator_llm,
-            :allow_chat_channel_mentions,
-            :allow_chat_direct_messages,
-            :allow_topic_mentions,
-            :allow_personal_messages,
+            :allow_chat,
             :tool_details,
-            :forced_tool_count,
-            :force_default_llm,
             allowed_group_ids: [],
             rag_uploads: [:id],
           )
@@ -209,12 +152,40 @@ module DiscourseAi
       def permit_tools(tools)
         return [] if !tools.is_a?(Array)
 
-        tools.filter_map do |tool, options, force_tool|
+        tools.filter_map do |tool, options|
           break nil if !tool.is_a?(String)
           options&.permit! if options && options.is_a?(ActionController::Parameters)
 
-          # this is simpler from a storage perspective, 1 way to store tools
-          [tool, options, !!force_tool]
+          if options
+            [tool, options]
+          else
+            tool
+          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
       end
     end

app/controllers/discourse_ai/admin/ai_tools_controller.rb

@@ -5,7 +5,7 @@ module DiscourseAi
     class AiToolsController < ::Admin::AdminController
       requires_plugin ::DiscourseAi::PLUGIN_NAME
 
-      before_action :find_ai_tool, only: %i[test show update destroy]
+      before_action :find_ai_tool, only: %i[show update destroy]
 
       def index
         ai_tools = AiTool.all
@@ -21,7 +21,6 @@ module DiscourseAi
         ai_tool.created_by_id = current_user.id
 
         if ai_tool.save
-          RagDocumentFragment.link_target_and_uploads(ai_tool, attached_upload_ids)
           render_serialized(ai_tool, AiCustomToolSerializer, status: :created)
         else
           render_json_error ai_tool
@@ -30,7 +29,6 @@ module DiscourseAi
 
       def update
         if @ai_tool.update(ai_tool_params)
-          RagDocumentFragment.update_target_uploads(@ai_tool, attached_upload_ids)
           render_serialized(@ai_tool, AiCustomToolSerializer)
         else
           render_json_error @ai_tool
@@ -46,13 +44,18 @@ module DiscourseAi
       end
 
       def test
-        @ai_tool.assign_attributes(ai_tool_params) if params[:ai_tool]
+        if params[:id].present?
+          ai_tool = AiTool.find(params[:id])
+        else
+          ai_tool = AiTool.new(ai_tool_params)
+        end
+
         parameters = params[:parameters].to_unsafe_h
 
         # we need an llm so we have a tokenizer
         # but will do without if none is available
         llm = LlmModel.first&.to_llm
-        runner = @ai_tool.runner(parameters, llm: llm, bot_user: current_user, context: {})
+        runner = ai_tool.runner(parameters, llm: llm, bot_user: current_user, context: {})
         result = runner.invoke
 
         if result.is_a?(Hash) && result[:error]
@@ -68,28 +71,18 @@ module DiscourseAi
 
       private
 
-      def attached_upload_ids
-        params[:ai_tool][:rag_uploads].to_a.map { |h| h[:id] }
-      end
-
       def find_ai_tool
-        @ai_tool = AiTool.find(params[:id].to_i)
+        @ai_tool = AiTool.find(params[:id])
       end
 
       def ai_tool_params
-        params
-          .require(:ai_tool)
-          .permit(
-            :name,
-            :description,
-            :script,
-            :summary,
-            :rag_chunk_tokens,
-            :rag_chunk_overlap_tokens,
-            rag_uploads: [:id],
-            parameters: [:name, :type, :description, :required, enum: []],
-          )
-          .except(:rag_uploads)
+        params.require(:ai_tool).permit(
+          :name,
+          :description,
+          :script,
+          :summary,
+          parameters: [:name, :type, :description, :required, enum: []],
+        )
       end
     end
   end

app/controllers/discourse_ai/admin/rag_document_fragments_controller.rb

@@ -1,75 +0,0 @@
-# frozen_string_literal: true
-
-module DiscourseAi
-  module Admin
-    class RagDocumentFragmentsController < ::Admin::AdminController
-      requires_plugin ::DiscourseAi::PLUGIN_NAME
-
-      def indexing_status_check
-        if params[:target_type] == "AiPersona"
-          @target = AiPersona.find(params[:target_id])
-        elsif params[:target_type] == "AiTool"
-          @target = AiTool.find(params[:target_id])
-        else
-          raise Discourse::InvalidParameters.new("Invalid target type")
-        end
-
-        render json: RagDocumentFragment.indexing_status(@target, @target.uploads)
-      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
-
-      private
-
-      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
-      end
-    end
-  end
-end

app/controllers/discourse_ai/ai_helper/assistant_controller.rb

@@ -6,21 +6,10 @@ module DiscourseAi
       requires_plugin ::DiscourseAi::PLUGIN_NAME
       requires_login
       before_action :ensure_can_request_suggestions
-      before_action :rate_limiter_performed!
+      before_action :rate_limiter_performed!, except: %i[prompts]
 
       include SecureUploadEndpointHelpers
 
-      RATE_LIMITS = {
-        "default" => {
-          amount: 6,
-          interval: 3.minutes,
-        },
-        "caption_image" => {
-          amount: 20,
-          interval: 1.minute,
-        },
-      }.freeze
-
       def suggest
         input = get_text_param!
         force_default_locale = params[:force_default_locale] || false
@@ -172,13 +161,7 @@ module DiscourseAi
       end
 
       def rate_limiter_performed!
-        action_rate_limit = RATE_LIMITS[action_name] || RATE_LIMITS["default"]
-        RateLimiter.new(
-          current_user,
-          "ai_assistant",
-          action_rate_limit[:amount],
-          action_rate_limit[:interval],
-        ).performed!
+        RateLimiter.new(current_user, "ai_assistant", 6, 3.minutes).performed!
       end
 
       def ensure_can_request_suggestions

app/controllers/discourse_ai/discord/bot_controller.rb

@@ -1,50 +0,0 @@
-# frozen_string_literal: true
-
-module DiscourseAi
-  module Discord
-    class BotController < ::ApplicationController
-      requires_plugin ::DiscourseAi::PLUGIN_NAME
-
-      skip_before_action :verify_authenticity_token
-
-      def interactions
-        # Request signature verification
-        begin
-          verify_request!
-        rescue Ed25519::VerifyError
-          return head :unauthorized
-        end
-
-        body = request.body.read
-        interaction = JSON.parse(body, object_class: OpenStruct)
-
-        if interaction.type == 1
-          # Respond to Discord PING request
-          render json: { type: 1 }
-        else
-          if !SiteSetting.ai_discord_allowed_guilds_map.include?(interaction.guild_id)
-            return head :forbidden
-          end
-
-          response = { type: 5, data: { content: "Searching..." } }
-          hijack { render json: response }
-
-          # Respond to Discord command
-          Jobs.enqueue(:stream_discord_reply, interaction: body)
-        end
-      end
-
-      private
-
-      def verify_request!
-        signature = request.headers["X-Signature-Ed25519"]
-        timestamp = request.headers["X-Signature-Timestamp"]
-        verify_key.verify([signature].pack("H*"), "#{timestamp}#{request.raw_post}")
-      end
-
-      def verify_key
-        Ed25519::VerifyKey.new([SiteSetting.ai_discord_app_public_key].pack("H*")).freeze
-      end
-    end
-  end
-end

app/controllers/discourse_ai/embeddings/embeddings_controller.rb

@@ -7,12 +7,8 @@ module DiscourseAi
 
       SEMANTIC_SEARCH_TYPE = "semantic_search"
 
-      MAX_HYDE_SEARCHES_PER_MINUTE = 4
-      MAX_SEARCHES_PER_MINUTE = 100
-
       def search
         query = params[:q].to_s
-        skip_hyde = params[:hyde].to_s.downcase == "false" || params[:hyde].to_s == "0"
 
         if query.length < SiteSetting.min_search_term_length
           raise Discourse::InvalidParameters.new(:q)
@@ -29,25 +25,13 @@ module DiscourseAi
 
         semantic_search = DiscourseAi::Embeddings::SemanticSearch.new(guardian)
 
-        if !skip_hyde && !semantic_search.cached_query?(query)
-          RateLimiter.new(
-            current_user,
-            "semantic-search",
-            MAX_HYDE_SEARCHES_PER_MINUTE,
-            1.minutes,
-          ).performed!
-        else
-          RateLimiter.new(
-            current_user,
-            "semantic-search-non-hyde",
-            MAX_SEARCHES_PER_MINUTE,
-            1.minutes,
-          ).performed!
+        if !semantic_search.cached_query?(query)
+          RateLimiter.new(current_user, "semantic-search", 4, 1.minutes).performed!
         end
 
         hijack do
           semantic_search
-            .search_for_topics(query, _page = 1, hyde: !skip_hyde)
+            .search_for_topics(query)
             .each { |topic_post| grouped_results.add(topic_post) }
 
           render_serialized(grouped_results, GroupedSearchResultSerializer, result: grouped_results)
@@ -55,9 +39,6 @@ module DiscourseAi
       end
 
       def quick_search
-        # this search function searches posts (vs: topics)
-        # it requires post embeddings and a reranker
-        # it will not perform a hyde expantion
         query = params[:q].to_s
 
         if query.length < SiteSetting.min_search_term_length

app/controllers/discourse_ai/summarization/chat_summary_controller.rb

@@ -15,21 +15,29 @@ module DiscourseAi
         channel = ::Chat::Channel.find(params[:channel_id])
         guardian.ensure_can_join_chat_channel!(channel)
 
-        summarizer = DiscourseAi::Summarization.chat_channel_summary(channel, since)
-        raise Discourse::NotFound.new unless summarizer
+        strategy = DiscourseAi::Summarization.default_strategy
+        raise Discourse::NotFound.new unless strategy
 
         guardian.ensure_can_request_summary!
 
         RateLimiter.new(current_user, "channel_summary", 6, 5.minutes).performed!
 
         hijack do
-          strategy = DiscourseAi::Summarization::Strategies::ChatMessages.new(channel, since)
+          content = { content_title: channel.name }
+
+          content[:contents] = channel
+            .chat_messages
+            .where("chat_messages.created_at > ?", since.hours.ago)
+            .includes(:user)
+            .order(created_at: :asc)
+            .pluck(:id, :username_lower, :message)
+            .map { { id: _1, poster: _2, text: _3 } }
 
           summarized_text =
-            if strategy.targets_data.empty?
+            if content[:contents].empty?
               I18n.t("discourse_ai.summarization.chat.no_targets")
             else
-              summarizer.summarize(current_user)&.summarized_text
+              strategy.summarize(content, current_user).dig(:summary)
             end
 
           render json: { summary: summarized_text }

app/controllers/discourse_ai/summarization/summary_controller.rb

@@ -16,10 +16,8 @@ module DiscourseAi
         opts = params.permit(:skip_age_check)
         skip_age_check = opts[:skip_age_check] == "true"
 
-        summarization_service = DiscourseAi::TopicSummarization.for(topic, current_user)
-
         if params[:stream] && current_user
-          cached_summary = summarization_service.cached_summary
+          cached_summary = DiscourseAi::TopicSummarization.cached_summary(topic, current_user)
 
           if cached_summary && !skip_age_check
             render_serialized(cached_summary, AiTopicSummarySerializer)
@@ -36,7 +34,12 @@ module DiscourseAi
           render json: success_json
         else
           hijack do
-            summary = summarization_service.summarize(skip_age_check: skip_age_check)
+            summary =
+              DiscourseAi::TopicSummarization.summarize(
+                topic,
+                current_user,
+                skip_age_check: skip_age_check,
+              )
             render_serialized(summary, AiTopicSummarySerializer)
           end
         end

app/jobs/regular/digest_rag_upload.rb

@@ -9,24 +9,17 @@ module ::Jobs
     # 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?
-
-      target_type = args[:target_type]
-      target_id = args[:target_id]
-
-      return if !target_type || !target_id
-
-      target = target_type.constantize.find_by(id: target_id)
-      return if !target
+      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 = target.rag_chunk_tokens
-      overlap_tokens = target.rag_chunk_overlap_tokens
+      chunk_tokens = ai_persona.rag_chunk_tokens
+      overlap_tokens = ai_persona.rag_chunk_overlap_tokens
 
-      fragment_ids = RagDocumentFragment.where(target: target, upload: upload).pluck(:id)
+      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?
@@ -46,7 +39,7 @@ module ::Jobs
             overlap_tokens: overlap_tokens,
           ) do |chunk, metadata|
             fragment_ids << RagDocumentFragment.create!(
-              target: target,
+              ai_persona: ai_persona,
               fragment: chunk,
               fragment_number: idx + 1,
               upload: upload,
@@ -126,9 +119,7 @@ module ::Jobs
 
         while overlap_token_ids.present?
           begin
-            padding = split_char
-            padding = " " if padding.empty?
-            overlap = tokenizer.decode(overlap_token_ids) + padding
+            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
@@ -137,7 +128,7 @@ module ::Jobs
         end
 
         # remove first word it is probably truncated
-        overlap = overlap.split(/\s/, 2).last.to_s.lstrip
+        overlap = overlap.split(" ", 2).last
       end
     end
 

app/jobs/regular/generate_rag_embeddings.rb

@@ -17,10 +17,10 @@ module ::Jobs
       fragments.map { |fragment| vector_rep.generate_representation_from(fragment) }
 
       last_fragment = fragments.last
-      target = last_fragment.target
+      ai_persona = last_fragment.ai_persona
       upload = last_fragment.upload
 
-      indexing_status = RagDocumentFragment.indexing_status(target, [upload])[upload.id]
+      indexing_status = RagDocumentFragment.indexing_status(ai_persona, [upload])[upload.id]
       RagDocumentFragment.publish_status(upload, indexing_status)
     end
   end

app/jobs/regular/hot_topics_gist_batch.rb

@@ -1,22 +0,0 @@
-# frozen_string_literal: true
-
-module ::Jobs
-  class HotTopicsGistBatch < ::Jobs::Base
-    def execute(_args)
-      return if !SiteSetting.discourse_ai_enabled
-      return if !SiteSetting.ai_summarization_enabled
-      return if SiteSetting.ai_summarize_max_hot_topics_gists_per_batch.zero?
-
-      Topic
-        .joins("JOIN topic_hot_scores on topics.id = topic_hot_scores.topic_id")
-        .order("topic_hot_scores.score DESC")
-        .limit(SiteSetting.ai_summarize_max_hot_topics_gists_per_batch)
-        .each do |topic|
-          summarizer = DiscourseAi::Summarization.topic_gist(topic)
-          gist = summarizer.existing_summary
-
-          summarizer.force_summarize(Discourse.system_user) if gist.blank? || gist.outdated
-        end
-    end
-  end
-end

app/jobs/regular/stream_discord_reply.rb

@@ -1,17 +0,0 @@
-# frozen_string_literal: true
-
-module Jobs
-  class StreamDiscordReply < ::Jobs::Base
-    sidekiq_options retry: false
-
-    def execute(args)
-      interaction = args[:interaction]
-
-      if SiteSetting.ai_discord_search_mode == "persona"
-        DiscourseAi::Discord::Bot::PersonaReplier.new(interaction).handle_interaction!
-      else
-        DiscourseAi::Discord::Bot::Search.new(interaction).handle_interaction!
-      end
-    end
-  end
-end

app/jobs/regular/stream_topic_ai_summary.rb

@@ -8,7 +8,7 @@ module Jobs
       return unless topic = Topic.find_by(id: args[:topic_id])
       return unless user = User.find_by(id: args[:user_id])
 
-      strategy = DiscourseAi::Summarization.topic_summary(topic)
+      strategy = DiscourseAi::Summarization.default_strategy
       return if strategy.nil? || !Guardian.new(user).can_see_summary?(topic)
 
       guardian = Guardian.new(user)
@@ -21,12 +21,12 @@ module Jobs
 
       summary =
         DiscourseAi::TopicSummarization
-          .new(strategy, user)
+          .new(strategy, topic, user)
           .summarize(skip_age_check: skip_age_check) do |partial_summary|
             streamed_summary << partial_summary
 
             # Throttle updates.
-            if (Time.now - start > 0.3) || Rails.env.test?
+            if (Time.now - start > 0.5) || Rails.env.test?
               payload = { done: false, ai_topic_summary: { summarized_text: streamed_summary } }
 
               publish_update(topic, user, payload)

app/jobs/regular/update_ai_bot_pm_title.rb

@@ -0,0 +1,17 @@
+# frozen_string_literal: true
+
+module ::Jobs
+  class UpdateAiBotPmTitle < ::Jobs::Base
+    sidekiq_options retry: false
+
+    def execute(args)
+      return unless bot_user = User.find_by(id: args[:bot_user_id])
+      return unless bot = DiscourseAi::AiBot::Bot.as(bot_user, model: args[:model])
+      return unless post = Post.includes(:topic).find_by(id: args[:post_id])
+
+      return unless post.topic.custom_fields[DiscourseAi::AiBot::EntryPoint::REQUIRE_TITLE_UPDATE]
+
+      DiscourseAi::AiBot::Playground.new(bot).title_playground(post)
+    end
+  end
+end

app/jobs/regular/update_hot_topic_gist.rb

@@ -1,25 +0,0 @@
-# frozen_string_literal: true
-
-module ::Jobs
-  class UpdateHotTopicGist < ::Jobs::Base
-    sidekiq_options retry: false
-
-    def execute(args)
-      return if !SiteSetting.discourse_ai_enabled
-      return if !SiteSetting.ai_summarization_enabled
-      return if SiteSetting.ai_summarize_max_hot_topics_gists_per_batch.zero?
-
-      topic = Topic.find_by(id: args[:topic_id])
-      return if topic.blank?
-
-      return if !TopicHotScore.where(topic: topic).exists?
-
-      summarizer = DiscourseAi::Summarization.topic_gist(topic)
-      gist = summarizer.existing_summary
-      return if gist.blank?
-      return if !gist.outdated
-
-      summarizer.force_summarize(Discourse.system_user)
-    end
-  end
-end

app/jobs/scheduled/embeddings_backfill.rb

@@ -35,6 +35,8 @@ module Jobs
 
       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
@@ -52,12 +54,9 @@ module Jobs
       # 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 < ?", 6.hours.ago)
-          .where("#{table_name}.updated_at < topics.updated_at")
-          .limit((limit - rebaked) / 10)
+        topics.where("#{table_name}.updated_at < ?", 7.days.ago).limit((limit - rebaked) / 10)
 
-      populate_topic_embeddings(vector_rep, relation, force: true)
+      populate_topic_embeddings(vector_rep, relation)
 
       return if rebaked >= limit
 
@@ -80,6 +79,8 @@ module Jobs
           rebaked += 1
         end
 
+      vector_rep.consider_indexing
+
       return if rebaked >= limit
 
       # Then, we'll try to backfill embeddings for posts that have outdated
@@ -114,12 +115,9 @@ module Jobs
 
     private
 
-    def populate_topic_embeddings(vector_rep, topics, force: false)
+    def populate_topic_embeddings(vector_rep, topics)
       done = 0
-
-      topics = topics.where("#{vector_rep.topic_table_name}.topic_id IS NULL") if !force
-
-      ids = topics.pluck("topics.id")
+      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)

app/jobs/scheduled/summaries_backfill.rb

@@ -1,43 +0,0 @@
-# frozen_string_literal: true
-
-module ::Jobs
-  class SummariesBackfill < ::Jobs::Scheduled
-    every 5.minutes
-    cluster_concurrency 1
-
-    def execute(_args)
-      return if !SiteSetting.discourse_ai_enabled
-      return if !SiteSetting.ai_summarization_enabled
-      return if SiteSetting.ai_summary_backfill_maximum_topics_per_hour.zero?
-
-      # Split budget in 12 intervals, but make sure is at least one.
-      limit_per_job = [SiteSetting.ai_summary_backfill_maximum_topics_per_hour, 12].max / 12
-      budget = [current_budget, limit_per_job].min
-
-      backfill_candidates
-        .limit(budget)
-        .each do |topic|
-          DiscourseAi::Summarization.topic_summary(topic).force_summarize(Discourse.system_user)
-        end
-    end
-
-    def backfill_candidates
-      Topic
-        .where("topics.word_count >= ?", SiteSetting.ai_summary_backfill_minimum_word_count)
-        .joins(
-          "LEFT OUTER JOIN ai_summaries ais ON topics.id = ais.target_id AND ais.target_type = 'Topic'",
-        )
-        .where(
-          "ais.id IS NULL OR UPPER(ais.content_range) < topics.highest_post_number + 1",
-        ) # (1..1) gets stored ad (1..2).
-        .order("ais.created_at DESC NULLS FIRST, topics.last_posted_at DESC")
-    end
-
-    def current_budget
-      base_budget = SiteSetting.ai_summary_backfill_maximum_topics_per_hour
-      used_budget = AiSummary.complete.system.where("created_at > ?", 1.hour.ago).count
-
-      base_budget - used_budget
-    end
-  end
-end

app/models/ai_api_audit_log.rb

@@ -12,7 +12,6 @@ class AiApiAuditLog < ActiveRecord::Base
     Vllm = 5
     Cohere = 6
     Ollama = 7
-    SambaNova = 8
   end
 end
 
@@ -33,4 +32,4 @@ end
 #  post_id              :integer
 #  feature_name         :string(255)
 #  language_model       :string(255)
-#  feature_context      :jsonb
+#

app/models/ai_persona.rb

@@ -1,8 +1,8 @@
 # frozen_string_literal: true
 
 class AiPersona < ActiveRecord::Base
-  # TODO remove this line 01-1-2025
-  self.ignored_columns = %i[commands allow_chat mentionable]
+  # TODO remove this line 01-11-2024
+  self.ignored_columns = [:commands]
 
   # places a hard limit, so per site we cache a maximum of 500 classes
   MAX_PERSONAS_PER_SITE = 500
@@ -20,8 +20,6 @@ class AiPersona < ActiveRecord::Base
   validates :rag_chunk_tokens, numericality: { greater_than: 0, maximum: 50_000 }
   validates :rag_chunk_overlap_tokens, numericality: { greater_than: -1, maximum: 200 }
   validates :rag_conversation_chunks, numericality: { greater_than: 0, maximum: 1000 }
-  validates :forced_tool_count, numericality: { greater_than: -2, maximum: 100_000 }
-  has_many :rag_document_fragments, dependent: :destroy, as: :target
 
   belongs_to :created_by, class_name: "User"
   belongs_to :user
@@ -29,7 +27,12 @@ class AiPersona < ActiveRecord::Base
   has_many :upload_references, as: :target, dependent: :destroy
   has_many :uploads, through: :upload_references
 
+  has_many :rag_document_fragment, dependent: :destroy
+
+  has_many :rag_document_fragments, through: :ai_persona_rag_document_fragments
+
   before_destroy :ensure_not_system
+
   before_update :regenerate_rag_fragments
 
   def self.persona_cache
@@ -52,47 +55,30 @@ class AiPersona < ActiveRecord::Base
       persona_cache[:persona_users] ||= AiPersona
         .where(enabled: true)
         .joins(:user)
-        .map do |persona|
+        .pluck(
+          "ai_personas.id, users.id, users.username_lower, allowed_group_ids, default_llm, mentionable, allow_chat",
+        )
+        .map do |id, user_id, username, allowed_group_ids, default_llm, mentionable, allow_chat|
           {
-            id: persona.id,
-            user_id: persona.user_id,
-            username: persona.user.username_lower,
-            allowed_group_ids: persona.allowed_group_ids,
-            default_llm: persona.default_llm,
-            force_default_llm: persona.force_default_llm,
-            allow_chat_channel_mentions: persona.allow_chat_channel_mentions,
-            allow_chat_direct_messages: persona.allow_chat_direct_messages,
-            allow_topic_mentions: persona.allow_topic_mentions,
-            allow_personal_messages: persona.allow_personal_messages,
+            id: id,
+            user_id: user_id,
+            username: username,
+            allowed_group_ids: allowed_group_ids,
+            default_llm: default_llm,
+            mentionable: mentionable,
+            allow_chat: allow_chat,
           }
         end
 
     if user
-      persona_users.select { |persona_user| user.in_any_groups?(persona_user[:allowed_group_ids]) }
+      persona_users.select { |mentionable| user.in_any_groups?(mentionable[:allowed_group_ids]) }
     else
       persona_users
     end
   end
 
-  def self.allowed_modalities(
-    user: nil,
-    allow_chat_channel_mentions: false,
-    allow_chat_direct_messages: false,
-    allow_topic_mentions: false,
-    allow_personal_messages: false
-  )
-    index =
-      "modality-#{allow_chat_channel_mentions}-#{allow_chat_direct_messages}-#{allow_topic_mentions}-#{allow_personal_messages}"
-
-    personas =
-      persona_cache[index.to_sym] ||= persona_users.select do |persona|
-        next true if allow_chat_channel_mentions && persona[:allow_chat_channel_mentions]
-        next true if allow_chat_direct_messages && persona[:allow_chat_direct_messages]
-        next true if allow_topic_mentions && persona[:allow_topic_mentions]
-        next true if allow_personal_messages && persona[:allow_personal_messages]
-        false
-      end
-
+  def self.allowed_chat(user: nil)
+    personas = persona_cache[:allowed_chat] ||= persona_users.select { |u| u[:allow_chat] }
     if user
       personas.select { |u| user.in_any_groups?(u[:allowed_group_ids]) }
     else
@@ -100,6 +86,18 @@ class AiPersona < ActiveRecord::Base
     end
   end
 
+  def self.mentionables(user: nil)
+    all_mentionables =
+      persona_cache[:mentionables] ||= persona_users.select do |mentionable|
+        mentionable[:mentionable]
+      end
+    if user
+      all_mentionables.select { |mentionable| user.in_any_groups?(mentionable[:allowed_group_ids]) }
+    else
+      all_mentionables
+    end
+  end
+
   after_commit :bump_cache
 
   def bump_cache
@@ -118,11 +116,7 @@ class AiPersona < ActiveRecord::Base
       vision_max_pixels
       rag_conversation_chunks
       question_consolidator_llm
-      allow_chat_channel_mentions
-      allow_chat_direct_messages
-      allow_topic_mentions
-      allow_personal_messages
-      force_default_llm
+      allow_chat
       name
       description
       allowed_group_ids
@@ -137,8 +131,6 @@ class AiPersona < ActiveRecord::Base
       instance_attributes[attr] = value
     end
 
-    instance_attributes[:username] = user&.username_lower
-
     if persona_class
       instance_attributes.each do |key, value|
         # description/name are localized
@@ -148,23 +140,17 @@ class AiPersona < ActiveRecord::Base
     end
 
     options = {}
-    force_tool_use = []
-
     tools =
       self.tools.filter_map do |element|
         klass = nil
 
-        element = [element] if element.is_a?(String)
-
-        inner_name, current_options, should_force_tool_use =
-          element.is_a?(Array) ? element : [element, nil]
-
-        if inner_name.start_with?("custom-")
-          custom_tool_id = inner_name.split("-", 2).last.to_i
+        if element.is_a?(String) && element.start_with?("custom-")
+          custom_tool_id = element.split("-", 2).last.to_i
           if AiTool.exists?(id: custom_tool_id, enabled: true)
             klass = DiscourseAi::AiBot::Tools::Custom.class_instance(custom_tool_id)
           end
         else
+          inner_name, current_options = element.is_a?(Array) ? element : [element, nil]
           inner_name = inner_name.gsub("Tool", "")
           inner_name = "List#{inner_name}" if %w[Categories Tags].include?(inner_name)
 
@@ -173,10 +159,9 @@ class AiPersona < ActiveRecord::Base
             options[klass] = current_options if current_options
           rescue StandardError
           end
-        end
 
-        force_tool_use << klass if should_force_tool_use
-        klass
+          klass
+        end
       end
 
     ai_persona_id = self.id
@@ -196,8 +181,6 @@ class AiPersona < ActiveRecord::Base
       end
 
       define_method(:tools) { tools }
-      define_method(:force_tool_use) { force_tool_use }
-      define_method(:forced_tool_count) { @ai_persona&.forced_tool_count }
       define_method(:options) { options }
       define_method(:temperature) { @ai_persona&.temperature }
       define_method(:top_p) { @ai_persona&.top_p }
@@ -247,17 +230,14 @@ class AiPersona < ActiveRecord::Base
 
   def regenerate_rag_fragments
     if rag_chunk_tokens_changed? || rag_chunk_overlap_tokens_changed?
-      RagDocumentFragment.where(target: self).delete_all
+      RagDocumentFragment.where(ai_persona: self).delete_all
     end
   end
 
   private
 
   def chat_preconditions
-    if (
-         allow_chat_channel_mentions || allow_chat_direct_messages || allow_topic_mentions ||
-           force_default_llm
-       ) && !default_llm
+    if allow_chat && !default_llm
       errors.add(:default_llm, I18n.t("discourse_ai.ai_bot.personas.default_llm_required"))
     end
   end
@@ -281,36 +261,32 @@ end
 #
 # Table name: ai_personas
 #
-#  id                          :bigint           not null, primary key
-#  name                        :string(100)      not null
-#  description                 :string(2000)     not null
-#  system_prompt               :string(10000000) not null
-#  allowed_group_ids           :integer          default([]), not null, is an Array
-#  created_by_id               :integer
-#  enabled                     :boolean          default(TRUE), not null
-#  created_at                  :datetime         not null
-#  updated_at                  :datetime         not null
-#  system                      :boolean          default(FALSE), not null
-#  priority                    :boolean          default(FALSE), not null
-#  temperature                 :float
-#  top_p                       :float
-#  user_id                     :integer
-#  default_llm                 :text
-#  max_context_posts           :integer
-#  vision_enabled              :boolean          default(FALSE), not null
-#  vision_max_pixels           :integer          default(1048576), not null
-#  rag_chunk_tokens            :integer          default(374), not null
-#  rag_chunk_overlap_tokens    :integer          default(10), not null
-#  rag_conversation_chunks     :integer          default(10), not null
-#  question_consolidator_llm   :text
-#  tool_details                :boolean          default(TRUE), not null
-#  tools                       :json             not null
-#  forced_tool_count           :integer          default(-1), not null
-#  allow_chat_channel_mentions :boolean          default(FALSE), not null
-#  allow_chat_direct_messages  :boolean          default(FALSE), not null
-#  allow_topic_mentions        :boolean          default(FALSE), not null
-#  allow_personal_messages     :boolean          default(TRUE), not null
-#  force_default_llm           :boolean          default(FALSE), not null
+#  id                        :bigint           not null, primary key
+#  name                      :string(100)      not null
+#  description               :string(2000)     not null
+#  system_prompt             :string(10000000) not null
+#  allowed_group_ids         :integer          default([]), not null, is an Array
+#  created_by_id             :integer
+#  enabled                   :boolean          default(TRUE), not null
+#  created_at                :datetime         not null
+#  updated_at                :datetime         not null
+#  system                    :boolean          default(FALSE), not null
+#  priority                  :boolean          default(FALSE), not null
+#  temperature               :float
+#  top_p                     :float
+#  user_id                   :integer
+#  mentionable               :boolean          default(FALSE), not null
+#  default_llm               :text
+#  max_context_posts         :integer
+#  vision_enabled            :boolean          default(FALSE), not null
+#  vision_max_pixels         :integer          default(1048576), not null
+#  rag_chunk_tokens          :integer          default(374), not null
+#  rag_chunk_overlap_tokens  :integer          default(10), not null
+#  rag_conversation_chunks   :integer          default(10), not null
+#  question_consolidator_llm :text
+#  allow_chat                :boolean          default(FALSE), not null
+#  tool_details              :boolean          default(TRUE), not null
+#  tools                     :json             not null
 #
 # Indexes
 #

app/models/ai_summary.rb

@@ -3,27 +3,6 @@
 class AiSummary < ActiveRecord::Base
   belongs_to :target, polymorphic: true
 
-  enum :summary_type, { complete: 0, gist: 1 }
-  enum :origin, { human: 0, system: 1 }
-
-  def self.store!(strategy, llm_model, summary, og_content, human:)
-    content_ids = og_content.map { |c| c[:id] }
-
-    AiSummary.create!(
-      target: strategy.target,
-      algorithm: llm_model.name,
-      content_range: (content_ids.first..content_ids.last),
-      summarized_text: summary,
-      original_content_sha: build_sha(content_ids.join),
-      summary_type: strategy.type,
-      origin: !!human ? origins[:human] : origins[:system],
-    )
-  end
-
-  def self.build_sha(joined_ids)
-    Digest::SHA256.hexdigest(joined_ids)
-  end
-
   def mark_as_outdated
     @outdated = true
   end
@@ -46,8 +25,6 @@ end
 #  algorithm            :string           not null
 #  created_at           :datetime         not null
 #  updated_at           :datetime         not null
-#  summary_type         :integer          default("complete"), not null
-#  origin               :integer
 #
 # Indexes
 #

app/models/ai_tool.rb

@@ -7,10 +7,6 @@ class AiTool < ActiveRecord::Base
   validates :script, presence: true, length: { maximum: 100_000 }
   validates :created_by_id, presence: true
   belongs_to :created_by, class_name: "User"
-  has_many :rag_document_fragments, dependent: :destroy, as: :target
-  has_many :upload_references, as: :target, dependent: :destroy
-  has_many :uploads, through: :upload_references
-  before_update :regenerate_rag_fragments
 
   def signature
     { name: name, description: description, parameters: parameters.map(&:symbolize_keys) }
@@ -32,97 +28,6 @@ class AiTool < ActiveRecord::Base
     AiPersona.persona_cache.flush!
   end
 
-  def regenerate_rag_fragments
-    if rag_chunk_tokens_changed? || rag_chunk_overlap_tokens_changed?
-      RagDocumentFragment.where(target: self).delete_all
-    end
-  end
-
-  def self.preamble
-    <<~JS
-      /**
-      * Tool API Quick Reference
-      *
-      * Entry Functions
-      *
-      * invoke(parameters): Main function. Receives parameters (Object). Must return a JSON-serializable value.
-      * Example:
-      *   function invoke(parameters) { return "result"; }
-      *
-      * details(): Optional. Returns a string describing the tool.
-      * Example:
-      *   function details() { return "Tool description."; }
-      *
-      * Provided Objects
-      *
-      * 1. http
-      *    http.get(url, options?): Performs an HTTP GET request.
-      *    Parameters:
-      *      url (string): The request URL.
-      *      options (Object, optional):
-      *        headers (Object): Request headers.
-      *    Returns:
-      *      { status: number, body: string }
-      *
-      *    http.post(url, options?): Performs an HTTP POST request.
-      *    Parameters:
-      *      url (string): The request URL.
-      *      options (Object, optional):
-      *        headers (Object): Request headers.
-      *        body (string): Request body.
-      *    Returns:
-      *      { status: number, body: string }
-      *
-      *    (also available: http.put, http.patch, http.delete)
-      *
-      *    Note: Max 20 HTTP requests per execution.
-      *
-      * 2. llm
-      *    llm.truncate(text, length): Truncates text to a specified token length.
-      *    Parameters:
-      *      text (string): Text to truncate.
-      *      length (number): Max tokens.
-      *    Returns:
-      *      Truncated string.
-      *
-      * 3. index
-      *    index.search(query, options?): Searches indexed documents.
-      *    Parameters:
-      *      query (string): Search query.
-      *      options (Object, optional):
-      *        filenames (Array): Limit search to specific files.
-      *        limit (number): Max fragments (up to 200).
-      *    Returns:
-      *      Array of { fragment: string, metadata: string }
-      *
-      * 4. upload
-      *    upload.create(filename, base_64_content): Uploads a file.
-      *    Parameters:
-      *      filename (string): Name of the file.
-      *      base_64_content (string): Base64 encoded file content.
-      *    Returns:
-      *      { id: number, short_url: string }
-      *
-      * 5. chain
-      *    chain.setCustomRaw(raw): Sets the body of the post and exist chain.
-      *    Parameters:
-      *      raw (string): raw content to add to post.
-      *
-      * Constraints
-      *
-      * Execution Time: ≤ 2000ms
-      * Memory: ≤ 10MB
-      * HTTP Requests: ≤ 20 per execution
-      * Exceeding limits will result in errors or termination.
-      *
-      * Security
-      *
-      * Sandboxed Environment: No access to system or global objects.
-      * No File System Access: Cannot read or write files.
-      */
-    JS
-  end
-
   def self.presets
     [
       {
@@ -133,7 +38,6 @@ class AiTool < ActiveRecord::Base
           { name: "url", type: "string", required: true, description: "The URL to browse" },
         ],
         script: <<~SCRIPT,
-          #{preamble}
           let url;
           function invoke(p) {
               url = p.url;
@@ -166,7 +70,6 @@ class AiTool < ActiveRecord::Base
           { name: "amount", type: "number", description: "Amount to convert eg: 123.45" },
         ],
         script: <<~SCRIPT,
-        #{preamble}
         // note: this script uses the open.er-api.com service, it is only updated
         // once every 24 hours, for more up to date rates see: https://www.exchangerate-api.com
         function invoke(params) {
@@ -215,7 +118,6 @@ class AiTool < ActiveRecord::Base
           },
         ],
         script: <<~SCRIPT,
-        #{preamble}
         function invoke(params) {
           const apiKey = 'YOUR_ALPHAVANTAGE_API_KEY'; // Replace with your actual API key
           const url = `https://www.alphavantage.co/query?function=GLOBAL_QUOTE&symbol=${params.symbol}&apikey=${apiKey}`;
@@ -251,72 +153,7 @@ class AiTool < ActiveRecord::Base
       SCRIPT
         summary: "Get real-time stock quotes using AlphaVantage API",
       },
-      {
-        preset_id: "image_generation",
-        name: "image_generation",
-        description:
-          "Generate images using the FLUX model from Black Forest Labs using together.ai",
-        parameters: [
-          {
-            name: "prompt",
-            type: "string",
-            required: true,
-            description: "The text prompt for image generation",
-          },
-          {
-            name: "seed",
-            type: "number",
-            required: false,
-            description: "Optional seed for random number generation",
-          },
-        ],
-        script: <<~SCRIPT,
-          #{preamble}
-          const apiKey = "YOUR_KEY";
-          const model = "black-forest-labs/FLUX.1.1-pro";
-
-          function invoke(params) {
-            let seed = parseInt(params.seed);
-            if (!(seed > 0)) {
-              seed = Math.floor(Math.random() * 1000000) + 1;
-            }
-
-            const prompt = params.prompt;
-            const body = {
-              model: model,
-              prompt: prompt,
-              width: 1024,
-              height: 768,
-              steps: 10,
-              n: 1,
-              seed: seed,
-              response_format: "b64_json",
-            };
-
-            const result = http.post("https://api.together.xyz/v1/images/generations", {
-              headers: {
-                "Authorization": `Bearer ${apiKey}`,
-                "Content-Type": "application/json",
-              },
-              body: JSON.stringify(body),
-            });
-
-            const base64Image = JSON.parse(result.body).data[0].b64_json;
-            const image = upload.create("generated_image.png", base64Image);
-            const raw = `\n![${prompt}](${image.short_url})\n`;
-            chain.setCustomRaw(raw);
-
-            return { result: "Image generated successfully", seed: seed };
-          }
-
-          function details() {
-            return "Generates images based on a text prompt using the FLUX model.";
-          }
-  SCRIPT
-        summary: "Generate image",
-      },
       { preset_id: "empty_tool", script: <<~SCRIPT },
-          #{preamble}
           function invoke(params) {
             // logic here
             return params;
@@ -336,16 +173,14 @@ end
 #
 # Table name: ai_tools
 #
-#  id                       :bigint           not null, primary key
-#  name                     :string           not null
-#  description              :string           not null
-#  summary                  :string           not null
-#  parameters               :jsonb            not null
-#  script                   :text             not null
-#  created_by_id            :integer          not null
-#  enabled                  :boolean          default(TRUE), not null
-#  created_at               :datetime         not null
-#  updated_at               :datetime         not null
-#  rag_chunk_tokens         :integer          default(374), not null
-#  rag_chunk_overlap_tokens :integer          default(10), not null
+#  id            :bigint           not null, primary key
+#  name          :string           not null
+#  description   :string           not null
+#  summary       :string           not null
+#  parameters    :jsonb            not null
+#  script        :text             not null
+#  created_by_id :integer          not null
+#  enabled       :boolean          default(TRUE), not null
+#  created_at    :datetime         not null
+#  updated_at    :datetime         not null
 #