DEV: Update libraries for Ruby 3.3 compat (#477 ) (#720 )

Co-authored-by: Rafael dos Santos Silva <[email protected]>
SECURITY: Place a SSRF protection when calling services from the plugin. (#485 )
2024-07-17 13:04:13 -03:00 · 2024-03-07 12:21:03 +00:00
391 changed files with 96188 additions and 1428912 deletions
@@ -1,5 +1,3 @@
-< 3.3.0.beta2-dev: 61890b667c06299841ae88946f84a112f00060e1
-< 3.3.0.beta1-dev: a65c4076a63104b61d213534db7f89aa3c8acd9e
 < 3.2.0.beta5-dev: c70f43f130fb98e4a1adb1afd9b621aaa49088e3
 < 3.2.0.beta4-dev: 493b48477a9288f2f1b6f021954088705a6673d6
 < 3.2.0.beta2-dev: 3bced1c6f525553fe2b5b79d29bd66c1cf2a47d5
@@ -1,71 +1,45 @@
 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)
    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)
+    parser (3.3.0.3)
      ast (~> 2.4.1)
      racc
    prettier_print (1.2.1)
    racc (1.7.3)
    rainbow (3.1.1)
    regexp_parser (2.9.0)
-    rexml (3.2.8)
-      strscan (>= 3.0.9)
-    rubocop (1.61.0)
+    rexml (3.2.6)
+    rubocop (1.59.0)
      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)
      ruby-progressbar (~> 1.7)
      unicode-display_width (>= 2.4.0, < 3.0)
-    rubocop-ast (1.31.1)
-      parser (>= 3.3.0.4)
+    rubocop-ast (1.30.0)
+      parser (>= 3.2.1.0)
    rubocop-capybara (2.20.0)
      rubocop (~> 1.41)
-    rubocop-discourse (3.7.1)
-      activesupport (>= 6.1)
+    rubocop-discourse (3.6.0)
      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-rspec (2.26.1)
      rubocop (~> 1.40)
      rubocop-capybara (~> 2.17)
      rubocop-factory_bot (~> 2.22)
    ruby-progressbar (1.13.0)
-    strscan (3.1.0)
    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
@@ -1,17 +0,0 @@
-import DiscourseRoute from "discourse/routes/discourse";
-
-export default DiscourseRoute.extend({
-  async model(params) {
-    const allLlms = this.modelFor("adminPlugins.show.discourse-ai-llms");
-    const id = parseInt(params.id, 10);
-    return allLlms.findBy("id", id);
-  },
-
-  setupController(controller, model) {
-    this._super(controller, model);
-    controller.set(
-      "allLlms",
-      this.modelFor("adminPlugins.show.discourse-ai-llms")
-    );
-  },
-});
@@ -1,7 +0,0 @@
-import DiscourseRoute from "discourse/routes/discourse";
-
-export default class DiscourseAiAiLlmsRoute extends DiscourseRoute {
-  model() {
-    return this.store.findAll("ai-llm");
-  }
-}
@@ -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-personas")
-    );
-  },
-});
@@ -1 +0,0 @@
-<AiLlmsListEditor @llms={{this.model}} />
@@ -1 +0,0 @@
-<AiLlmsListEditor @llms={{this.allLlms}} @currentLlm={{this.model}} />
@@ -1 +0,0 @@
-<AiLlmsListEditor @llms={{this.allLlms}} @currentLlm={{this.model}} />
@@ -1,10 +0,0 @@
-<DBreadcrumbsItem as |linkClass|>
-  <LinkTo @route="adminPlugins.show.discourse-ai-personas" class={{linkClass}}>
-    {{@model.plugin.nameTitleized}}
-  </LinkTo>
-</DBreadcrumbsItem>
-
-<AiPersonaListEditor
-  @personas={{this.allPersonas}}
-  @currentPersona={{this.model}}
-/>
@@ -1,83 +0,0 @@
-# frozen_string_literal: true
-
-module DiscourseAi
-  module Admin
-    class AiLlmsController < ::Admin::AdminController
-      requires_plugin ::DiscourseAi::PLUGIN_NAME
-
-      def index
-        llms = LlmModel.all
-
-        render json: {
-                 ai_llms:
-                   ActiveModel::ArraySerializer.new(
-                     llms,
-                     each_serializer: LlmModelSerializer,
-                     root: false,
-                   ).as_json,
-                 meta: {
-                   providers: DiscourseAi::Completions::Llm.provider_names,
-                   tokenizers:
-                     DiscourseAi::Completions::Llm.tokenizer_names.map { |tn|
-                       { id: tn, name: tn.split("::").last }
-                     },
-                 },
-               }
-      end
-
-      def show
-        llm_model = LlmModel.find(params[:id])
-        render json: LlmModelSerializer.new(llm_model)
-      end
-
-      def create
-        llm_model = LlmModel.new(ai_llm_params)
-        if llm_model.save
-          render json: { ai_persona: llm_model }, status: :created
-        else
-          render_json_error llm_model
-        end
-      end
-
-      def update
-        llm_model = LlmModel.find(params[:id])
-
-        if llm_model.update(ai_llm_params)
-          render json: llm_model
-        else
-          render_json_error llm_model
-        end
-      end
-
-      def test
-        RateLimiter.new(current_user, "llm_test_#{current_user.id}", 3, 1.minute).performed!
-
-        llm_model = LlmModel.new(ai_llm_params)
-
-        DiscourseAi::Completions::Llm.proxy_from_obj(llm_model).generate(
-          "How much is 1 + 1?",
-          user: current_user,
-          feature_name: "llm_validator",
-        )
-
-        render json: { success: true }
-      rescue DiscourseAi::Completions::Endpoints::Base::CompletionFailed => e
-        render json: { success: false, error: e.message }
-      end
-
-      private
-
-      def ai_llm_params
-        params.require(:ai_llm).permit(
-          :display_name,
-          :name,
-          :provider,
-          :tokenizer,
-          :max_prompt_tokens,
-          :url,
-          :api_key,
-        )
-      end
-    end
-  end
-end
@@ -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 create_user]

      def index
        ai_personas =
@@ -31,10 +28,8 @@ 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
@@ -47,9 +42,7 @@ module DiscourseAi
      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
@@ -64,47 +57,12 @@ 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(
@@ -119,15 +77,7 @@ module DiscourseAi
            :user_id,
            :mentionable,
            :max_context_posts,
-            :vision_enabled,
-            :vision_max_pixels,
-            :rag_chunk_tokens,
-            :rag_chunk_overlap_tokens,
-            :rag_conversation_chunks,
-            :question_consolidator_llm,
-            :allow_chat,
            allowed_group_ids: [],
-            rag_uploads: [:id],
          )

        if commands = params.dig(:ai_persona, :commands)
@@ -151,31 +101,6 @@ module DiscourseAi
          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
  end
 end
@@ -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)
@@ -1,111 +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.errors.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.errors.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
@@ -8,8 +8,6 @@ module DiscourseAi
      before_action :ensure_can_request_suggestions
      before_action :rate_limiter_performed!, except: %i[prompts]

-      include SecureUploadEndpointHelpers
-
      def suggest
        input = get_text_param!

@@ -107,61 +105,6 @@ module DiscourseAi
                          status: 502
      end

-      def random_caption
-        captions = [
-          "A beautiful landscape",
-          "An adorable puppy",
-          "A delicious meal",
-          "A cozy fireplace",
-          "A stunning sunset",
-          "A charming cityscape",
-          "A peaceful garden",
-          "A majestic mountain range",
-          "A captivating work of art",
-        ]
-        captions.sample
-      end
-
-      def caption_image
-        image_url = params[:image_url]
-        image_url_type = params[:image_url_type]
-
-        raise Discourse::InvalidParameters.new(:image_url) if !image_url
-        raise Discourse::InvalidParameters.new(:image_url) if !image_url_type
-
-        if image_url_type == "short_path"
-          image = Upload.find_by(sha1: Upload.sha1_from_short_path(image_url))
-        elsif image_url_type == "short_url"
-          image = Upload.find_by(sha1: Upload.sha1_from_short_url(image_url))
-        else
-          image = upload_from_full_url(image_url)
-        end
-
-        raise Discourse::NotFound if image.blank?
-        final_image_url = get_caption_url(image, image_url)
-
-        hijack do
-          if Rails.env.development?
-            sleep 2 # Simulate a delay of 2 seconds
-            caption = random_caption
-          else
-            caption =
-              DiscourseAi::AiHelper::Assistant.new.generate_image_caption(
-                final_image_url,
-                current_user,
-              )
-          end
-          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_error I18n.t("discourse_ai.ai_helper.errors.completion_request_failed"),
-                          status: 502
-      end
-
      private

      def get_text_param!
@@ -177,18 +120,14 @@ 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
@@ -20,7 +20,6 @@ module DiscourseAi
            term: query,
            search_context: guardian,
            use_pg_headlines_for_excerpt: false,
-            can_lazy_load_categories: guardian.can_lazy_load_categories?,
          )

        semantic_search = DiscourseAi::Embeddings::SemanticSearch.new(guardian)
@@ -37,34 +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
@@ -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
@@ -1,28 +0,0 @@
-# frozen_string_literal: true
-
-module ::Jobs
-  class CreateAiChatReply < ::Jobs::Base
-    sidekiq_options retry: false
-
-    def execute(args)
-      channel = ::Chat::Channel.find_by(id: args[:channel_id])
-      return if channel.blank?
-
-      message = ::Chat::Message.find_by(id: args[:message_id])
-      return if message.blank?
-
-      personaClass =
-        DiscourseAi::AiBot::Personas::Persona.find_by(id: args[:persona_id], user: message.user)
-      return if personaClass.blank?
-
-      user = User.find_by(id: personaClass.user_id)
-      bot = DiscourseAi::AiBot::Bot.as(user, persona: personaClass.new)
-
-      DiscourseAi::AiBot::Playground.new(bot).reply_to_chat_message(
-        message,
-        channel,
-        args[:context_post_ids],
-      )
-    end
-  end
-end
@@ -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
@@ -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
@@ -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
@@ -12,7 +12,8 @@ module Jobs
      topic = post.topic
      reply_to = post.reply_to_post

-      return unless user.guardian.can_see?(post)
+      guardian = Guardian.new(user)
+      return unless guardian.can_see?(post)

      prompt = CompletionPrompt.enabled_by_name("explain")

@@ -6,7 +6,7 @@ module ::Jobs

    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 bot = DiscourseAi::AiBot::Bot.as(bot_user)
      return unless post = Post.includes(:topic).find_by(id: args[:post_id])

      return unless post.topic.custom_fields[DiscourseAi::AiBot::EntryPoint::REQUIRE_TITLE_UPDATE]
@@ -1,17 +1,12 @@
 # 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
-    Ollama = 7
  end
 end

@@ -22,14 +17,12 @@ end
 #  id                   :bigint           not null, primary key
 #  provider_id          :integer          not null
 #  user_id              :integer
+#  topic_id             :integer
+#  post_id              :integer
 #  request_tokens       :integer
 #  response_tokens      :integer
 #  raw_request_payload  :string
 #  raw_response_payload :string
 #  created_at           :datetime         not null
 #  updated_at           :datetime         not null
-#  topic_id             :integer
-#  post_id              :integer
-#  feature_name         :string(255)
-#  language_model       :string(255)
 #
@@ -8,32 +8,45 @@ class AiPersona < ActiveRecord::Base
  validates :description, presence: true, length: { maximum: 2000 }
  validates :system_prompt, presence: true, length: { maximum: 10_000_000 }
  validate :system_persona_unchangeable, on: :update, if: :system
-  validate :chat_preconditions
  validates :max_context_posts, numericality: { greater_than: 0 }, allow_nil: true
-  # leaves some room for growth but sets a maximum to avoid memory issues
-  # we may want to revisit this in the future
-  validates :vision_max_pixels, numericality: { greater_than: 0, maximum: 4_000_000 }
-
-  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 }

  belongs_to :created_by, class_name: "User"
  belongs_to :user

-  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
+  class MultisiteHash
+    def initialize(id)
+      @hash = Hash.new { |h, k| h[k] = {} }
+      @id = id
+
+      MessageBus.subscribe(channel_name) { |message| @hash[message.data] = {} }
+    end
+
+    def channel_name
+      "/multisite-hash-#{@id}"
+    end
+
+    def current_db
+      RailsMultisite::ConnectionManagement.current_db
+    end
+
+    def [](key)
+      @hash.dig(current_db, key)
+    end
+
+    def []=(key, val)
+      @hash[current_db][key] = val
+    end
+
+    def flush!
+      @hash[current_db] = {}
+      MessageBus.publish(channel_name, current_db)
+    end
+  end

  def self.persona_cache
-    @persona_cache ||= ::DiscourseAi::MultisiteHash.new("persona_cache")
+    @persona_cache ||= MultisiteHash.new("persona_cache")
  end

  scope :ordered, -> { order("priority DESC, lower(name) ASC") }
@@ -47,52 +60,21 @@ class AiPersona < ActiveRecord::Base
      .map(&:class_instance)
  end

-  def self.persona_users(user: nil)
-    persona_users =
-      persona_cache[:persona_users] ||= AiPersona
-        .where(enabled: true)
-        .joins(:user)
-        .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: 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 { |mentionable| user.in_any_groups?(mentionable[:allowed_group_ids]) }
-    else
-      persona_users
-    end
-  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
-      personas
-    end
-  end
-
-  def self.mentionables(user: nil)
-    all_mentionables =
-      persona_cache[:mentionables] ||= persona_users.select do |mentionable|
-        mentionable[:mentionable]
+  def self.mentionables
+    persona_cache[:mentionable_usernames] ||= AiPersona
+      .where(mentionable: true)
+      .where(enabled: true)
+      .joins(:user)
+      .pluck("ai_personas.id, users.id, users.username_lower, allowed_group_ids, default_llm")
+      .map do |id, user_id, username, allowed_group_ids, default_llm|
+        {
+          id: id,
+          user_id: user_id,
+          username: username,
+          allowed_group_ids: allowed_group_ids,
+          default_llm: default_llm,
+        }
      end
-    if user
-      all_mentionables.select { |mentionable| user.in_any_groups?(mentionable[:allowed_group_ids]) }
-    else
-      all_mentionables
-    end
  end

  after_commit :bump_cache
@@ -109,11 +91,6 @@ class AiPersona < ActiveRecord::Base
    mentionable = self.mentionable
    default_llm = self.default_llm
    max_context_posts = self.max_context_posts
-    vision_enabled = self.vision_enabled
-    vision_max_pixels = self.vision_max_pixels
-    rag_conversation_chunks = self.rag_conversation_chunks
-    question_consolidator_llm = self.question_consolidator_llm
-    allow_chat = self.allow_chat

    persona_class = DiscourseAi::AiBot::Personas::Persona.system_personas_by_id[self.id]
    if persona_class
@@ -133,10 +110,6 @@ class AiPersona < ActiveRecord::Base
        user_id
      end

-      persona_class.define_singleton_method :allow_chat do
-        allow_chat
-      end
-
      persona_class.define_singleton_method :mentionable do
        mentionable
      end
@@ -149,22 +122,6 @@ class AiPersona < ActiveRecord::Base
        max_context_posts
      end

-      persona_class.define_singleton_method :vision_enabled do
-        vision_enabled
-      end
-
-      persona_class.define_singleton_method :vision_max_pixels do
-        vision_max_pixels
-      end
-
-      persona_class.define_singleton_method :question_consolidator_llm do
-        question_consolidator_llm
-      end
-
-      persona_class.define_singleton_method :rag_conversation_chunks do
-        rag_conversation_chunks
-      end
-
      return persona_class
    end

@@ -240,26 +197,6 @@ class AiPersona < ActiveRecord::Base
        max_context_posts
      end

-      define_singleton_method :vision_enabled do
-        vision_enabled
-      end
-
-      define_singleton_method :vision_max_pixels do
-        vision_max_pixels
-      end
-
-      define_singleton_method :rag_conversation_chunks do
-        rag_conversation_chunks
-      end
-
-      define_singleton_method :question_consolidator_llm do
-        question_consolidator_llm
-      end
-
-      define_singleton_method :allow_chat do
-        allow_chat
-      end
-
      define_singleton_method :to_s do
        "#<DiscourseAi::AiBot::Personas::Persona::Custom @name=#{self.name} @allowed_group_ids=#{self.allowed_group_ids.join(",")}>"
      end
@@ -273,10 +210,6 @@ class AiPersona < ActiveRecord::Base
        super(*args, **kwargs)
      end

-      define_method :persona_id do
-        @ai_persona&.id
-      end
-
      define_method :tools do
        tools
      end
@@ -296,10 +229,6 @@ class AiPersona < ActiveRecord::Base
      define_method :system_prompt do
        @ai_persona&.system_prompt || "You are a helpful bot."
      end
-
-      define_method :uploads do
-        @ai_persona&.uploads
-      end
    end
  end

@@ -342,20 +271,8 @@ class AiPersona < ActiveRecord::Base
    user
  end

-  def regenerate_rag_fragments
-    if rag_chunk_tokens_changed? || rag_chunk_overlap_tokens_changed?
-      RagDocumentFragment.where(ai_persona: self).delete_all
-    end
-  end
-
  private

-  def chat_preconditions
-    if allow_chat && !default_llm
-      errors.add(:default_llm, I18n.t("discourse_ai.ai_bot.personas.default_llm_required"))
-    end
-  end
-
  def system_persona_unchangeable
    if top_p_changed? || temperature_changed? || system_prompt_changed? || commands_changed? ||
         name_changed? || description_changed?
@@ -375,39 +292,26 @@ end
 #
 # Table name: ai_personas
 #
-#  id                          :bigint           not null, primary key
-#  name                        :string(100)      not null
-#  description                 :string(2000)     not null
-#  commands                    :json             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
-#  max_post_context_tokens     :integer
-#  max_context_tokens          :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
-#  role                        :enum             default("bot"), not null
-#  role_category_ids           :integer          default([]), not null, is an Array
-#  role_tags                   :string           default([]), not null, is an Array
-#  role_group_ids              :integer          default([]), not null, is an Array
-#  role_whispers               :boolean          default(FALSE), not null
-#  role_max_responses_per_hour :integer          default(50), not null
-#  question_consolidator_llm   :text
-#  allow_chat                  :boolean          default(FALSE), not null
+#  id                      :bigint           not null, primary key
+#  name                    :string(100)      not null
+#  description             :string(2000)     not null
+#  commands                :json             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
+#  max_post_context_tokens :integer
+#  max_context_tokens      :integer
 #
 # Indexes
 #
@@ -1,20 +0,0 @@
-# frozen_string_literal: true
-
-class ChatMessageCustomPrompt < ActiveRecord::Base
-  # belongs_to chat message but going to avoid the cross dependency for now
-end
-
-# == Schema Information
-#
-# Table name: message_custom_prompts
-#
-#  id            :bigint           not null, primary key
-#  message_id    :bigint           not null
-#  custom_prompt :json             not null
-#  created_at    :datetime         not null
-#  updated_at    :datetime         not null
-#
-# Indexes
-#
-#  index_message_custom_prompts_on_message_id  (message_id) UNIQUE
-#
@@ -1,23 +0,0 @@
-# frozen_string_literal: true
-
-class LlmModel < ActiveRecord::Base
-  def tokenizer_class
-    tokenizer.constantize
-  end
-end
-
-# == Schema Information
-#
-# Table name: llm_models
-#
-#  id                :bigint           not null, primary key
-#  display_name      :string
-#  name              :string           not null
-#  provider          :string           not null
-#  tokenizer         :string           not null
-#  max_prompt_tokens :integer          not null
-#  created_at        :datetime         not null
-#  updated_at        :datetime         not null
-#  url               :string
-#  api_key           :string
-#
@@ -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
-#
@@ -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
-#
@@ -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
-#
@@ -1,7 +0,0 @@
-# frozen_string_literal: true
-
-class LlmModelSerializer < ApplicationSerializer
-  root "llm"
-
-  attributes :id, :display_name, :name, :provider, :max_prompt_tokens, :tokenizer, :api_key, :url
-end
--- a/Show More
+++ b/Show More
Author	SHA1	Message	Date
Roman RizziandRafael dos Santos Silva	d94234d89f	DEV: Update libraries for Ruby 3.3 compat (#477 ) (#720 ) Co-authored-by: Rafael dos Santos Silva <[email protected]>	2024-07-17 13:04:13 -03:00
Roman Rizzi	a65c4076a6	SECURITY: Place a SSRF protection when calling services from the plugin. (#485 ) The Faraday adapter and `FinalDestionation::HTTP` will protect us from admin-initiated SSRF attacks when interacting with the external services powering this plugin features.:	2024-03-07 12:21:03 +00:00
				`@@ -1 +0,0 @@`
				`<AiLlmsListEditor @llms={{this.allLlms}} @currentLlm={{this.model}} />`