DEV: Disable the plugin by default (#1511)

…and preserve the current setting on existing sites

config/settings.yml

@@ -1,6 +1,6 @@
 discourse_ai:
   discourse_ai_enabled:
-    default: true
+    default: false
     client: true
   ai_artifact_security:
     client: true

db/migrate/20250721192553_enable_ai_if_already_installed.rb

@@ -0,0 +1,23 @@
+# frozen_string_literal: true
+
+class EnableAiIfAlreadyInstalled < ActiveRecord::Migration[7.2]
+  def up
+    installed_at = DB.query_single(<<~SQL)&.first
+      SELECT created_at FROM schema_migration_details WHERE version='20230224165056'
+    SQL
+
+    if installed_at && installed_at < 1.hour.ago
+      # The plugin was installed before we changed it to be disabled-by-default
+      # Therefore, if there is no existing database value, enable the plugin
+      execute <<~SQL
+        INSERT INTO site_settings(name, data_type, value, created_at, updated_at)
+        VALUES('discourse_ai_enabled', 5, 't', NOW(), NOW())
+        ON CONFLICT (name) DO NOTHING
+      SQL
+    end
+  end
+
+  def down
+    raise ActiveRecord::IrreversibleMigration
+  end
+end

spec/configuration/feature_spec.rb

@@ -10,6 +10,8 @@ RSpec.describe DiscourseAi::Configuration::Feature do
     DiscourseAi::Completions::Llm.with_prepared_responses(["OK"]) { block.call }
   end
 
+  before { enable_current_plugin }
+
   describe "#llm_model" do
     context "when persona is not found" do
       it "returns nil when persona_id is invalid" do

spec/configuration/llm_enumerator_spec.rb

@@ -8,6 +8,8 @@ RSpec.describe DiscourseAi::Configuration::LlmEnumerator do
     Fabricate(:automation, script: "llm_report", name: "some automation", enabled: true)
   end
 
+  before { enable_current_plugin }
+
   describe "#values_for_serialization" do
     it "returns an array for that can be used for serialization" do
       fake_model.destroy!

spec/configuration/llm_validator_spec.rb

@@ -1,6 +1,8 @@
 # frozen_string_literal: true
 
 RSpec.describe DiscourseAi::Configuration::LlmValidator do
+  before { enable_current_plugin }
+
   describe "#valid_value?" do
     context "when the parent module is enabled and we try to reset the selected model" do
       before do

spec/configuration/spam_detection_validator_spec.rb

@@ -3,6 +3,8 @@
 RSpec.describe DiscourseAi::Configuration::SpamDetectionValidator do
   let(:validator) { described_class.new }
 
+  before { enable_current_plugin }
+
   it "always returns true if setting the value to false" do
     expect(validator.valid_value?("f")).to eq(true)
   end

spec/db/migrate/20241031041242_migrate_sentiment_classification_result_format_spec.rb

@@ -8,11 +8,14 @@ require Rails.root.join(
 RSpec.describe MigrateSentimentClassificationResultFormat do
   let(:connection) { ActiveRecord::Base.connection }
 
-  before { connection.execute(<<~SQL) }
+  before do
+    enable_current_plugin
+    connection.execute(<<~SQL)
       INSERT INTO classification_results (model_used, classification, created_at, updated_at) VALUES
         ('sentiment', '{"neutral": 65, "negative": 20, "positive": 14}', NOW(), NOW()),
         ('emotion', '{"sadness": 10, "surprise": 15, "fear": 5, "anger": 20, "joy": 30, "disgust": 8, "neutral": 10}', NOW(), NOW());
     SQL
+  end
 
   after { connection.execute("DELETE FROM classification_results") }
 

spec/db/migrate/20250125162658_fix_broken_open_ai_embeddings_config_spec.rb

@@ -21,6 +21,8 @@ RSpec.describe FixBrokenOpenAiEmbeddingsConfig do
     ).first
   end
 
+  before { enable_current_plugin }
+
   describe "#up" do
     context "when embeddings are already configured" do
       fab!(:embedding_definition)

spec/db/migrate/20250127145305_clean_unused_embedding_search_indexes_spec.rb

@@ -8,6 +8,8 @@ require Rails.root.join(
 RSpec.describe CleanUnusedEmbeddingSearchIndexes do
   let(:connection) { ActiveRecord::Base.connection }
 
+  before { enable_current_plugin }
+
   describe "#up" do
     before do
       # Copied from 20241008054440_create_binary_indexes_for_embeddings

spec/jobs/regular/detect_translate_post_spec.rb

@@ -7,7 +7,7 @@ describe Jobs::DetectTranslatePost do
   let(:locales) { %w[en ja] }
 
   before do
-    SiteSetting.discourse_ai_enabled = true
+    enable_current_plugin
     Fabricate(:fake_model).tap do |fake_llm|
       SiteSetting.public_send("ai_translation_model=", "custom:#{fake_llm.id}")
     end

spec/jobs/regular/detect_translate_topic_spec.rb

@@ -7,7 +7,7 @@ describe Jobs::DetectTranslateTopic do
   let(:locales) { %w[en ja] }
 
   before do
-    SiteSetting.discourse_ai_enabled = true
+    enable_current_plugin
     Fabricate(:fake_model).tap do |fake_llm|
       SiteSetting.public_send("ai_translation_model=", "custom:#{fake_llm.id}")
     end
@@ -32,7 +32,6 @@ describe Jobs::DetectTranslateTopic do
   end
 
   it "detects locale" do
-    SiteSetting.discourse_ai_enabled = true
     allow(DiscourseAi::Translation::TopicLocaleDetector).to receive(:detect_locale).with(
       topic,
     ).and_return("zh_CN")

spec/jobs/regular/digest_rag_upload_spec.rb

@@ -20,6 +20,8 @@ RSpec.describe Jobs::DigestRagUpload do
   end
 
   before do
+    enable_current_plugin
+
     SiteSetting.ai_embeddings_selected_model = cloudflare_embedding_def.id
     SiteSetting.ai_embeddings_enabled = true
     SiteSetting.authorized_extensions = "txt"

spec/jobs/regular/fast_track_topic_gist_spec.rb

@@ -7,6 +7,7 @@ RSpec.describe Jobs::FastTrackTopicGist do
     fab!(:post_2) { Fabricate(:post, topic: topic_1, post_number: 2) }
 
     before do
+      enable_current_plugin
       assign_fake_provider_to(:ai_summarization_model)
       SiteSetting.ai_summarization_enabled = true
       SiteSetting.ai_summary_gists_enabled = true

spec/jobs/regular/generate_inferred_concepts_spec.rb

@@ -5,7 +5,10 @@ RSpec.describe Jobs::GenerateInferredConcepts do
   fab!(:post)
   fab!(:concept) { Fabricate(:inferred_concept, name: "programming") }
 
-  before { SiteSetting.inferred_concepts_enabled = true }
+  before do
+    enable_current_plugin
+    SiteSetting.inferred_concepts_enabled = true
+  end
 
   describe "#execute" do
     it "does nothing with blank item_ids" do

spec/jobs/regular/generate_rag_embeddings_spec.rb

@@ -1,6 +1,8 @@
 # frozen_string_literal: true
 
 RSpec.describe Jobs::GenerateRagEmbeddings do
+  before { enable_current_plugin }
+
   describe "#execute" do
     fab!(:vector_def) { Fabricate(:embedding_definition) }
 

spec/jobs/regular/localize_categories_spec.rb

@@ -10,7 +10,7 @@ describe Jobs::LocalizeCategories do
   end
 
   before do
-    SiteSetting.discourse_ai_enabled = true
+    enable_current_plugin
     Fabricate(:fake_model).tap do |fake_llm|
       SiteSetting.public_send("ai_translation_model=", "custom:#{fake_llm.id}")
     end

spec/jobs/regular/localize_posts_spec.rb

@@ -7,7 +7,7 @@ describe Jobs::LocalizePosts do
   let(:locales) { %w[en ja de] }
 
   before do
-    SiteSetting.discourse_ai_enabled = true
+    enable_current_plugin
     Fabricate(:fake_model).tap do |fake_llm|
       SiteSetting.public_send("ai_translation_model=", "custom:#{fake_llm.id}")
     end

spec/jobs/regular/localize_topics_spec.rb

@@ -7,7 +7,7 @@ describe Jobs::LocalizeTopics do
   let(:locales) { %w[en ja de] }
 
   before do
-    SiteSetting.discourse_ai_enabled = true
+    enable_current_plugin
     Fabricate(:fake_model).tap do |fake_llm|
       SiteSetting.public_send("ai_translation_model=", "custom:#{fake_llm.id}")
     end

spec/jobs/regular/manage_embedding_def_search_index_spec.rb

@@ -3,6 +3,8 @@
 RSpec.describe Jobs::ManageEmbeddingDefSearchIndex do
   fab!(:embedding_definition)
 
+  before { enable_current_plugin }
+
   describe "#execute" do
     context "when there is no embedding def" do
       it "does nothing" do

spec/jobs/regular/stream_composer_helper_spec.rb

@@ -3,7 +3,10 @@
 RSpec.describe Jobs::StreamComposerHelper do
   subject(:job) { described_class.new }
 
-  before { assign_fake_provider_to(:ai_helper_model) }
+  before do
+    enable_current_plugin
+    assign_fake_provider_to(:ai_helper_model)
+  end
 
   describe "#execute" do
     let!(:input) { "I liek to eet pie fur brakefast becuz it is delishus." }

spec/jobs/regular/stream_discord_reply_spec.rb

@@ -17,6 +17,7 @@ RSpec.describe Jobs::StreamDiscordReply, type: :job do
   fab!(:persona) { Fabricate(:ai_persona, default_llm_id: llm_model.id) }
 
   before do
+    enable_current_plugin
     SiteSetting.ai_discord_search_enabled = true
     SiteSetting.ai_discord_search_mode = "persona"
     SiteSetting.ai_discord_search_persona = persona.id

spec/jobs/regular/stream_discover_reply_spec.rb

@@ -3,6 +3,8 @@
 RSpec.describe Jobs::StreamDiscoverReply do
   subject(:job) { described_class.new }
 
+  before { enable_current_plugin }
+
   describe "#execute" do
     fab!(:user)
     fab!(:llm_model)

spec/jobs/regular/stream_post_helper_spec.rb

@@ -3,7 +3,10 @@
 RSpec.describe Jobs::StreamPostHelper do
   subject(:job) { described_class.new }
 
-  before { assign_fake_provider_to(:ai_helper_model) }
+  before do
+    enable_current_plugin
+    assign_fake_provider_to(:ai_helper_model)
+  end
 
   describe "#execute" do
     fab!(:topic)

spec/jobs/regular/stream_topic_ai_summary_spec.rb

@@ -3,6 +3,8 @@
 RSpec.describe Jobs::StreamTopicAiSummary do
   subject(:job) { described_class.new }
 
+  before { enable_current_plugin }
+
   describe "#execute" do
     fab!(:topic) { Fabricate(:topic, highest_post_number: 2) }
     fab!(:post_1) { Fabricate(:post, topic: topic, post_number: 1) }

spec/jobs/scheduled/categories_locale_detection_backfill_spec.rb

@@ -5,7 +5,7 @@ describe Jobs::CategoriesLocaleDetectionBackfill do
   subject(:job) { described_class.new }
 
   before do
-    SiteSetting.discourse_ai_enabled = true
+    enable_current_plugin
     Fabricate(:fake_model).tap do |fake_llm|
       SiteSetting.public_send("ai_translation_model=", "custom:#{fake_llm.id}")
     end

spec/jobs/scheduled/embeddings_backfill_spec.rb

@@ -24,6 +24,8 @@ RSpec.describe Jobs::EmbeddingsBackfill do
   fab!(:embedding_array) { Array.new(1024) { 1 } }
 
   before do
+    enable_current_plugin
+
     SiteSetting.ai_embeddings_selected_model = vector_def.id
     SiteSetting.ai_embeddings_enabled = true
     SiteSetting.ai_embeddings_backfill_batch_size = 1

spec/jobs/scheduled/generate_concepts_from_popular_items_spec.rb

@@ -5,6 +5,7 @@ RSpec.describe Jobs::GenerateConceptsFromPopularItems do
   fab!(:post) { Fabricate(:post, like_count: 8, post_number: 2) }
 
   before do
+    enable_current_plugin
     SiteSetting.inferred_concepts_enabled = true
     SiteSetting.inferred_concepts_daily_topics_limit = 20
     SiteSetting.inferred_concepts_daily_posts_limit = 30

spec/jobs/scheduled/post_localization_backfill_spec.rb

@@ -2,13 +2,13 @@
 
 describe Jobs::PostLocalizationBackfill do
   before do
+    enable_current_plugin
     SiteSetting.ai_translation_backfill_hourly_rate = 100
     SiteSetting.content_localization_supported_locales = "en"
     Fabricate(:fake_model).tap do |fake_llm|
       SiteSetting.public_send("ai_translation_model=", "custom:#{fake_llm.id}")
     end
     SiteSetting.ai_translation_enabled = true
-    SiteSetting.discourse_ai_enabled = true
   end
 
   it "does not enqueue post translation when translator disabled" do
@@ -36,7 +36,6 @@ describe Jobs::PostLocalizationBackfill do
   end
 
   it "does not enqueue post translation if backfill limit is set to 0" do
-    SiteSetting.discourse_ai_enabled = true
     SiteSetting.ai_translation_enabled = true
     SiteSetting.ai_translation_backfill_hourly_rate = 0
 
@@ -46,7 +45,6 @@ describe Jobs::PostLocalizationBackfill do
   end
 
   it "enqueues post translation with correct limit" do
-    SiteSetting.discourse_ai_enabled = true
     SiteSetting.ai_translation_enabled = true
     SiteSetting.ai_translation_backfill_hourly_rate = 100
 

spec/jobs/scheduled/posts_locale_detection_backfill_spec.rb

@@ -5,7 +5,7 @@ describe Jobs::PostsLocaleDetectionBackfill do
   subject(:job) { described_class.new }
 
   before do
-    SiteSetting.discourse_ai_enabled = true
+    enable_current_plugin
     Fabricate(:fake_model).tap do |fake_llm|
       SiteSetting.public_send("ai_translation_model=", "custom:#{fake_llm.id}")
     end

spec/jobs/scheduled/remove_orphaned_embeddings_spec.rb

@@ -1,6 +1,8 @@
 # frozen_string_literal: true
 
 RSpec.describe Jobs::RemoveOrphanedEmbeddings do
+  before { enable_current_plugin }
+
   describe "#execute" do
     fab!(:embedding_definition)
     fab!(:embedding_definition_2) { Fabricate(:embedding_definition) }

spec/jobs/scheduled/sentiment_backfill_spec.rb

@@ -3,6 +3,8 @@
 require_relative "../../support/sentiment_inference_stubs"
 
 RSpec.describe Jobs::SentimentBackfill do
+  before { enable_current_plugin }
+
   describe "#execute" do
     fab!(:post)
 

spec/jobs/scheduled/summaries_backfill_spec.rb

@@ -8,6 +8,7 @@ RSpec.describe Jobs::SummariesBackfill do
   let(:intervals) { 12 } # budget is split into intervals. Job runs every five minutes.
 
   before do
+    enable_current_plugin
     assign_fake_provider_to(:ai_summarization_model)
     SiteSetting.ai_summarization_enabled = true
     SiteSetting.ai_summary_backfill_maximum_topics_per_hour = limit

spec/jobs/scheduled/topics_locale_detection_backfill_spec.rb

@@ -5,7 +5,7 @@ describe Jobs::TopicsLocaleDetectionBackfill do
   subject(:job) { described_class.new }
 
   before do
-    SiteSetting.discourse_ai_enabled = true
+    enable_current_plugin
     Fabricate(:fake_model).tap do |fake_llm|
       SiteSetting.public_send("ai_translation_model=", "custom:#{fake_llm.id}")
     end

spec/jobs/shared_conversation_adjust_upload_security_spec.rb

@@ -6,13 +6,14 @@ RSpec.describe Jobs::SharedConversationAdjustUploadSecurity do
   fab!(:claude_2) { Fabricate(:llm_model, name: "claude-2") }
 
   fab!(:bot_user) do
-    SiteSetting.discourse_ai_enabled = true
+    enable_current_plugin
     toggle_enabled_bots(bots: [claude_2])
     SiteSetting.ai_bot_enabled = true
     SiteSetting.ai_bot_allowed_groups = "10"
     SiteSetting.ai_bot_public_sharing_allowed_groups = "10"
     claude_2.reload.user
   end
+
   fab!(:user)
   fab!(:topic) { Fabricate(:private_message_topic, user: user, recipient: bot_user) }
   fab!(:post_1) { Fabricate(:post, topic: topic, user: bot_user) }
@@ -23,6 +24,8 @@ RSpec.describe Jobs::SharedConversationAdjustUploadSecurity do
     described_class.new.execute(params)
   end
 
+  before { enable_current_plugin }
+
   context "when conversation is created" do
     let(:params) { { conversation_id: conversation.id } }
 

spec/lib/completions/anthropic_message_processor_spec.rb

@@ -1,6 +1,8 @@
 # frozen_string_literal: true
 
 describe DiscourseAi::Completions::AnthropicMessageProcessor do
+  before { enable_current_plugin }
+
   it "correctly handles and combines partial thinking chunks into complete thinking objects" do
     processor =
       DiscourseAi::Completions::AnthropicMessageProcessor.new(

spec/lib/completions/cancel_manager_spec.rb

@@ -3,7 +3,10 @@
 describe DiscourseAi::Completions::CancelManager do
   fab!(:model) { Fabricate(:anthropic_model, name: "test-model") }
 
-  before { WebMock.allow_net_connect! }
+  before do
+    enable_current_plugin
+    WebMock.allow_net_connect!
+  end
 
   it "can stop monitoring for cancellation cleanly" do
     cancel_manager = DiscourseAi::Completions::CancelManager.new

spec/lib/completions/dialects/chat_gpt_spec.rb

@@ -6,6 +6,8 @@ RSpec.describe DiscourseAi::Completions::Dialects::ChatGpt do
   fab!(:llm_model) { Fabricate(:llm_model, max_prompt_tokens: 8192) }
   let(:context) { DialectContext.new(described_class, llm_model) }
 
+  before { enable_current_plugin }
+
   describe "#translate" do
     it "translates a prompt written in our generic format to the ChatGPT format" do
       open_ai_version = [

spec/lib/completions/dialects/claude_spec.rb

@@ -3,9 +3,9 @@
 RSpec.describe DiscourseAi::Completions::Dialects::Claude do
   fab!(:llm_model) { Fabricate(:anthropic_model, name: "claude-3-opus") }
 
-  let :opus_dialect_klass do
+  let(:opus_dialect_klass) { DiscourseAi::Completions::Dialects::Dialect.dialect_for(llm_model) }
-    DiscourseAi::Completions::Dialects::Dialect.dialect_for(llm_model)
+
-  end
+  before { enable_current_plugin }
 
   describe "#translate" do
     it "can insert OKs to make stuff interleve properly" do

spec/lib/completions/dialects/dialect_spec.rb

@@ -27,6 +27,8 @@ end
 RSpec.describe DiscourseAi::Completions::Dialects::Dialect do
   fab!(:llm_model)
 
+  before { enable_current_plugin }
+
   describe "#translate" do
     let(:five_token_msg) { "This represents five tokens." }
     let(:tools) do

spec/lib/completions/dialects/gemini_spec.rb

@@ -6,6 +6,8 @@ RSpec.describe DiscourseAi::Completions::Dialects::Gemini do
   fab!(:model) { Fabricate(:gemini_model) }
   let(:context) { DialectContext.new(described_class, model) }
 
+  before { enable_current_plugin }
+
   describe "#translate" do
     it "translates a prompt written in our generic format to the Gemini format" do
       gemini_version = {

spec/lib/completions/dialects/mistral_spec.rb

@@ -11,6 +11,8 @@ RSpec.describe DiscourseAi::Completions::Dialects::Mistral do
     UploadCreator.new(image100x100, "image.jpg").create_for(Discourse.system_user.id)
   end
 
+  before { enable_current_plugin }
+
   it "does not include user names" do
     prompt =
       DiscourseAi::Completions::Prompt.new(

spec/lib/completions/dialects/nova_spec.rb

@@ -5,6 +5,8 @@ RSpec.describe DiscourseAi::Completions::Dialects::Nova do
 
   let(:nova_dialect_klass) { DiscourseAi::Completions::Dialects::Dialect.dialect_for(llm_model) }
 
+  before { enable_current_plugin }
+
   it "finds the right dialect" do
     expect(nova_dialect_klass).to eq(DiscourseAi::Completions::Dialects::Nova)
   end

spec/lib/completions/dialects/ollama_spec.rb

@@ -7,6 +7,8 @@ RSpec.describe DiscourseAi::Completions::Dialects::Ollama do
   let(:context) { DialectContext.new(described_class, model) }
   let(:dialect_class) { DiscourseAi::Completions::Dialects::Dialect.dialect_for(model) }
 
+  before { enable_current_plugin }
+
   describe "#translate" do
     context "when native tool support is enabled" do
       it "translates a prompt written in our generic format to the Ollama format" do

spec/lib/completions/dialects/ollama_tools_spec.rb

@@ -3,6 +3,8 @@
 require_relative "dialect_context"
 
 RSpec.describe DiscourseAi::Completions::Dialects::OllamaTools do
+  before { enable_current_plugin }
+
   describe "#translated_tools" do
     it "translates a tool from our generic format to the Ollama format" do
       tool = {

spec/lib/completions/dialects/open_ai_compatible_spec.rb

@@ -1,6 +1,8 @@
 # frozen_string_literal: true
 
 RSpec.describe DiscourseAi::Completions::Dialects::OpenAiCompatible do
+  before { enable_current_plugin }
+
   context "when system prompts are disabled" do
     fab!(:model) do
       Fabricate(:vllm_model, vision_enabled: true, provider_params: { disable_system_prompt: true })

spec/lib/completions/endpoints/anthropic_spec.rb

@@ -47,6 +47,8 @@ RSpec.describe DiscourseAi::Completions::Endpoints::Anthropic do
     prompt_with_tools
   end
 
+  before { enable_current_plugin }
+
   it "does not eat spaces with tool calls" do
     body = <<~STRING
     event: message_start

spec/lib/completions/endpoints/aws_bedrock_spec.rb

@@ -26,6 +26,8 @@ RSpec.describe DiscourseAi::Completions::Endpoints::AwsBedrock do
     Aws::EventStream::Encoder.new.encode(aws_message)
   end
 
+  before { enable_current_plugin }
+
   it "should provide accurate max token count" do
     prompt = DiscourseAi::Completions::Prompt.new("hello")
     dialect = DiscourseAi::Completions::Dialects::Claude.new(prompt, model)

spec/lib/completions/endpoints/cohere_spec.rb

@@ -58,6 +58,8 @@ RSpec.describe DiscourseAi::Completions::Endpoints::Cohere do
     prompt
   end
 
+  before { enable_current_plugin }
+
   it "is able to trigger a tool" do
     body = (<<~TEXT).strip
       {"is_finished":false,"event_type":"stream-start","generation_id":"1648206e-1fe4-4bb6-90cf-360dd55f575b"}

spec/lib/completions/endpoints/gemini_spec.rb

@@ -153,6 +153,8 @@ RSpec.describe DiscourseAi::Completions::Endpoints::Gemini do
     }
   end
 
+  before { enable_current_plugin }
+
   it "correctly configures thinking when enabled" do
     model.update!(provider_params: { enable_thinking: "true", thinking_tokens: "10000" })
 

spec/lib/completions/endpoints/hugging_face_spec.rb

@@ -95,6 +95,8 @@ RSpec.describe DiscourseAi::Completions::Endpoints::HuggingFace do
     )
   end
 
+  before { enable_current_plugin }
+
   describe "#perform_completion!" do
     context "when using regular mode" do
       context "with simple prompts" do

spec/lib/completions/endpoints/nova_spec.rb

@@ -27,6 +27,8 @@ RSpec.describe DiscourseAi::Completions::Endpoints::AwsBedrock do
     Aws::EventStream::Encoder.new.encode(aws_message)
   end
 
+  before { enable_current_plugin }
+
   it "should be able to make a simple request" do
     proxy = DiscourseAi::Completions::Llm.proxy("custom:#{nova_model.id}")
 

spec/lib/completions/endpoints/ollama_spec.rb

@@ -135,6 +135,8 @@ RSpec.describe DiscourseAi::Completions::Endpoints::Ollama do
     EndpointsCompliance.new(self, endpoint, DiscourseAi::Completions::Dialects::Ollama, user)
   end
 
+  before { enable_current_plugin }
+
   describe "#perform_completion!" do
     context "when using regular mode" do
       it "completes a trivial prompt and logs the response" do

spec/lib/completions/endpoints/open_ai_responses_api_spec.rb

@@ -30,6 +30,8 @@ RSpec.describe DiscourseAi::Completions::Endpoints::OpenAi do
     prompt
   end
 
+  before { enable_current_plugin }
+
   it "can perform simple streaming completion" do
     response_payload = <<~TEXT
       event: response.created

spec/lib/completions/endpoints/open_ai_spec.rb

@@ -174,6 +174,8 @@ RSpec.describe DiscourseAi::Completions::Endpoints::OpenAi do
     UploadCreator.new(image100x100, "image.jpg").create_for(Discourse.system_user.id)
   end
 
+  before { enable_current_plugin }
+
   describe "max tokens for reasoning models" do
     it "uses max_completion_tokens for reasoning models" do
       model.update!(name: "o3-mini", max_output_tokens: 999)

spec/lib/completions/endpoints/open_router_spec.rb

@@ -6,6 +6,8 @@ RSpec.describe DiscourseAi::Completions::Endpoints::OpenRouter do
 
   subject(:endpoint) { described_class.new(open_router_model) }
 
+  before { enable_current_plugin }
+
   it "supports provider quantization and order selection" do
     open_router_model.provider_params["provider_quantizations"] = "int8,int16"
     open_router_model.provider_params["provider_order"] = "Google, Amazon Bedrock"

spec/lib/completions/endpoints/samba_nova_spec.rb

@@ -4,6 +4,8 @@ RSpec.describe DiscourseAi::Completions::Endpoints::SambaNova do
   fab!(:llm_model) { Fabricate(:samba_nova_model) }
   let(:llm) { llm_model.to_llm }
 
+  before { enable_current_plugin }
+
   it "can stream completions" do
     body = <<~PARTS
     data: {"id": "4c5e4a44-e847-467d-b9cd-d2f6530678cd", "object": "chat.completion.chunk", "created": 1721336361, "model": "llama3-8b", "system_fingerprint": "fastcoe", "choices": [{"index": 0, "delta": {"content": "I am a bot"}, "logprobs": null, "finish_reason": null}]}

spec/lib/completions/endpoints/vllm_spec.rb

@@ -88,6 +88,8 @@ RSpec.describe DiscourseAi::Completions::Endpoints::Vllm do
   let(:request_body) { model.default_options.merge(messages: prompt).to_json }
   let(:stream_request_body) { model.default_options.merge(messages: prompt, stream: true).to_json }
 
+  before { enable_current_plugin }
+
   describe "tool support" do
     it "is able to invoke XML tools correctly" do
       xml = <<~XML

spec/lib/completions/json_stream_decoder_spec.rb

@@ -3,6 +3,8 @@
 describe DiscourseAi::Completions::JsonStreamDecoder do
   let(:decoder) { DiscourseAi::Completions::JsonStreamDecoder.new }
 
+  before { enable_current_plugin }
+
   it "should be able to parse simple messages" do
     result = decoder << "data: #{{ hello: "world" }.to_json}"
     expect(result).to eq([{ hello: "world" }])

spec/lib/completions/llm_spec.rb

@@ -13,6 +13,8 @@ RSpec.describe DiscourseAi::Completions::Llm do
   fab!(:user)
   fab!(:model) { Fabricate(:llm_model) }
 
+  before { enable_current_plugin }
+
   describe ".proxy" do
     it "raises an exception when we can't proxy the model" do
       fake_model = "unknown:unknown_v2"

spec/lib/completions/prompt_messages_builder_spec.rb

@@ -14,6 +14,8 @@ describe DiscourseAi::Completions::PromptMessagesBuilder do
     Fabricate(:upload, user: user, original_filename: "image.png", extension: "png")
   end
 
+  before { enable_current_plugin }
+
   it "correctly merges user messages with uploads" do
     builder.push(type: :user, content: "Hello", id: "Alice", upload_ids: [1])
     builder.push(type: :user, content: "World", id: "Bob", upload_ids: [2])

spec/lib/completions/prompt_spec.rb

@@ -8,6 +8,8 @@ RSpec.describe DiscourseAi::Completions::Prompt do
   let(:username) { "username1" }
   let(:image100x100) { plugin_file_from_fixtures("100x100.jpg") }
 
+  before { enable_current_plugin }
+
   describe ".new" do
     it "raises for invalid attributes" do
       expect { described_class.new("a bot", messages: {}) }.to raise_error(ArgumentError)

spec/lib/completions/structured_output_spec.rb

@@ -26,6 +26,8 @@ RSpec.describe DiscourseAi::Completions::StructuredOutput do
     )
   end
 
+  before { enable_current_plugin }
+
   describe "Parsing structured output on the fly" do
     it "acts as a buffer for an streamed JSON" do
       chunks = [

spec/lib/completions/tool_definition_spec.rb

@@ -1,6 +1,8 @@
 # frozen_string_literal: true
 
 RSpec.describe DiscourseAi::Completions::ToolDefinition do
+  before { enable_current_plugin }
+
   # Test case 1: Basic tool definition creation
   describe "#initialize" do
     it "creates a tool with name, description and parameters" do

spec/lib/completions/upload_encoder_spec.rb

@@ -5,6 +5,8 @@ RSpec.describe DiscourseAi::Completions::UploadEncoder do
   let(:jpg) { plugin_file_from_fixtures("1x1.jpg") }
   let(:webp) { plugin_file_from_fixtures("1x1.webp") }
 
+  before { enable_current_plugin }
+
   it "automatically converts gifs to pngs" do
     upload = UploadCreator.new(gif, "1x1.gif").create_for(Discourse.system_user.id)
     encoded = described_class.encode(upload_ids: [upload.id], max_pixels: 1_048_576)

spec/lib/completions/xml_tag_stripper_spec.rb

@@ -3,6 +3,8 @@
 describe DiscourseAi::Completions::PromptMessagesBuilder do
   let(:tag_stripper) { DiscourseAi::Completions::XmlTagStripper.new(%w[thinking results]) }
 
+  before { enable_current_plugin }
+
   it "should strip tags correctly in simple cases" do
     result = tag_stripper << "x<thinking>hello</thinki"
     expect(result).to eq("x")

spec/lib/completions/xml_tool_processor_spec.rb

@@ -3,6 +3,8 @@
 RSpec.describe DiscourseAi::Completions::XmlToolProcessor do
   let(:processor) { DiscourseAi::Completions::XmlToolProcessor.new }
 
+  before { enable_current_plugin }
+
   it "can process simple text" do
     result = []
     result << (processor << "hello")

spec/lib/discord/bot/persona_replier_spec.rb

@@ -12,6 +12,7 @@ RSpec.describe DiscourseAi::Discord::Bot::PersonaReplier do
   fab!(:persona) { Fabricate(:ai_persona, default_llm_id: llm_model.id) }
 
   before do
+    enable_current_plugin
     SiteSetting.ai_discord_search_persona = persona.id.to_s
     allow_any_instance_of(DiscourseAi::Personas::Bot).to receive(:reply).and_return(
       "This is a reply from bot!",

spec/lib/discord/bot/search_spec.rb

@@ -9,6 +9,8 @@ RSpec.describe DiscourseAi::Discord::Bot::Search do
   let(:search) { described_class.new(interaction_body) }
 
   before do
+    enable_current_plugin
+
     stub_request(:post, "https://discord.com/api/webhooks//interaction_token").with(
       body:
         "{\"content\":\"Here are the top search results for your query:\\n\\n1. [Title](\\u003chttp://test.localhost/link\\u003e)\\n\\n\"}",

spec/lib/discourse_automation/automation_spec.rb

@@ -3,6 +3,8 @@
 require "rails_helper"
 
 RSpec.describe DiscourseAi::Automation do
+  before { enable_current_plugin }
+
   describe "manually configured model" do
     let!(:llm_model) { Fabricate(:llm_model) }
     it "returns a list of available models for automation" do

spec/lib/discourse_automation/llm_persona_triage_spec.rb

@@ -39,6 +39,8 @@ describe DiscourseAi::Automation::LlmPersonaTriage do
   end
 
   before do
+    enable_current_plugin
+
     SiteSetting.ai_bot_enabled = true
     SiteSetting.ai_bot_allowed_groups = "#{Group::AUTO_GROUPS[:trust_level_0]}"
 

spec/lib/discourse_automation/llm_report_spec.rb

@@ -21,6 +21,8 @@ describe DiscourseAutomation do
     )
   end
 
+  before { enable_current_plugin }
+
   it "can trigger via automation" do
     add_automation_field("sender", user.username, type: "user")
     add_automation_field("receivers", [user.username], type: "email_group_user")

spec/lib/discourse_automation/llm_tool_triage_spec.rb

@@ -52,7 +52,7 @@ RSpec.describe DiscourseAi::Automation::LlmToolTriage do
   end
 
   before do
-    SiteSetting.discourse_ai_enabled = true
+    enable_current_plugin
     SiteSetting.ai_bot_enabled = true
   end
 

spec/lib/discourse_automation/llm_triage_spec.rb

@@ -24,6 +24,8 @@ describe DiscourseAi::Automation::LlmTriage do
   end
 
   before do
+    enable_current_plugin
+
     SiteSetting.tagging_enabled = true
     add_automation_field("system_prompt", "hello %%POST%%")
     add_automation_field("search_for_text", "bad")

spec/lib/guardian_extensions_spec.rb

@@ -6,6 +6,7 @@ describe DiscourseAi::GuardianExtensions do
   fab!(:topic)
 
   before do
+    enable_current_plugin
     group.add(user)
     assign_fake_provider_to(:ai_summarization_model)
     SiteSetting.ai_summarization_enabled = true

spec/lib/inference/cloudflare_workers_ai_spec.rb

@@ -23,6 +23,8 @@ RSpec.describe DiscourseAi::Inference::CloudflareWorkersAi do
   let(:payload) { { text: [content] }.to_json }
 
   before do
+    enable_current_plugin
+
     stub_request(:post, endpoint).with(body: payload, headers: headers).to_return(
       status: response_status,
       body: response_body,

spec/lib/inferred_concepts/applier_spec.rb

@@ -11,6 +11,8 @@ RSpec.describe DiscourseAi::InferredConcepts::Applier do
   fab!(:llm_model) { Fabricate(:fake_model) }
 
   before do
+    enable_current_plugin
+
     SiteSetting.inferred_concepts_match_persona = -1
     SiteSetting.inferred_concepts_enabled = true
 
@@ -140,7 +142,9 @@ RSpec.describe DiscourseAi::InferredConcepts::Applier do
       persona_class_double = double("PersonaClass") # rubocop:disable RSpec/VerifiedDoubles
 
       allow(AiPersona).to receive(:all_personas).and_return([persona_class_double])
-      allow(persona_class_double).to receive(:id).and_return(SiteSetting.inferred_concepts_match_persona.to_i)
+      allow(persona_class_double).to receive(:id).and_return(
+        SiteSetting.inferred_concepts_match_persona.to_i,
+      )
       allow(persona_class_double).to receive(:new).and_return(persona_instance_double)
       allow(persona_class_double).to receive(:default_llm_id).and_return(llm_model.id)
       allow(persona_instance_double).to receive(:class).and_return(persona_class_double)
@@ -190,7 +194,9 @@ RSpec.describe DiscourseAi::InferredConcepts::Applier do
       persona_class_double = double("PersonaClass") # rubocop:disable RSpec/VerifiedDoubles
 
       allow(AiPersona).to receive(:all_personas).and_return([persona_class_double])
-      allow(persona_class_double).to receive(:id).and_return(SiteSetting.inferred_concepts_match_persona.to_i)
+      allow(persona_class_double).to receive(:id).and_return(
+        SiteSetting.inferred_concepts_match_persona.to_i,
+      )
       allow(persona_class_double).to receive(:new).and_return(persona_instance_double)
       allow(persona_class_double).to receive(:default_llm_id).and_return(llm_model.id)
       allow(persona_instance_double).to receive(:class).and_return(persona_class_double)
@@ -228,7 +234,9 @@ RSpec.describe DiscourseAi::InferredConcepts::Applier do
       bot_double = instance_spy(DiscourseAi::Personas::Bot)
 
       allow(AiPersona).to receive(:all_personas).and_return([persona_class_double])
-      allow(persona_class_double).to receive(:id).and_return(SiteSetting.inferred_concepts_match_persona.to_i)
+      allow(persona_class_double).to receive(:id).and_return(
+        SiteSetting.inferred_concepts_match_persona.to_i,
+      )
       allow(persona_class_double).to receive(:new).and_return(persona_instance_double)
       allow(persona_class_double).to receive(:default_llm_id).and_return(llm_model.id)
       allow(persona_instance_double).to receive(:class).and_return(persona_class_double)
@@ -261,7 +269,9 @@ RSpec.describe DiscourseAi::InferredConcepts::Applier do
       bot_double = instance_double("DiscourseAi::Personas::Bot")
 
       allow(AiPersona).to receive(:all_personas).and_return([persona_class_double])
-      allow(persona_class_double).to receive(:id).and_return(SiteSetting.inferred_concepts_match_persona.to_i)
+      allow(persona_class_double).to receive(:id).and_return(
+        SiteSetting.inferred_concepts_match_persona.to_i,
+      )
       allow(persona_class_double).to receive(:new).and_return(persona_instance_double)
       allow(persona_class_double).to receive(:default_llm_id).and_return(llm_model.id)
       allow(persona_instance_double).to receive(:class).and_return(persona_class_double)
@@ -283,7 +293,9 @@ RSpec.describe DiscourseAi::InferredConcepts::Applier do
       bot_double = instance_double("DiscourseAi::Personas::Bot")
 
       allow(AiPersona).to receive(:all_personas).and_return([persona_class_double])
-      allow(persona_class_double).to receive(:id).and_return(SiteSetting.inferred_concepts_match_persona.to_i)
+      allow(persona_class_double).to receive(:id).and_return(
+        SiteSetting.inferred_concepts_match_persona.to_i,
+      )
       allow(persona_class_double).to receive(:new).and_return(persona_instance_double)
       allow(persona_class_double).to receive(:default_llm_id).and_return(llm_model.id)
       allow(persona_instance_double).to receive(:class).and_return(persona_class_double)
@@ -305,7 +317,9 @@ RSpec.describe DiscourseAi::InferredConcepts::Applier do
       bot_double = instance_double("DiscourseAi::Personas::Bot")
 
       allow(AiPersona).to receive(:all_personas).and_return([persona_class_double])
-      allow(persona_class_double).to receive(:id).and_return(SiteSetting.inferred_concepts_match_persona.to_i)
+      allow(persona_class_double).to receive(:id).and_return(
+        SiteSetting.inferred_concepts_match_persona.to_i,
+      )
       allow(persona_class_double).to receive(:new).and_return(persona_instance_double)
       allow(persona_class_double).to receive(:default_llm_id).and_return(llm_model.id)
       allow(persona_instance_double).to receive(:class).and_return(persona_class_double)

spec/lib/inferred_concepts/finder_spec.rb

@@ -10,6 +10,7 @@ RSpec.describe DiscourseAi::InferredConcepts::Finder do
   fab!(:llm_model) { Fabricate(:fake_model) }
 
   before do
+    enable_current_plugin
     SiteSetting.inferred_concepts_generate_persona = -1
     SiteSetting.inferred_concepts_deduplicate_persona = -1
     SiteSetting.inferred_concepts_enabled = true

spec/lib/inferred_concepts/manager_spec.rb

@@ -8,6 +8,8 @@ RSpec.describe DiscourseAi::InferredConcepts::Manager do
   fab!(:concept1) { Fabricate(:inferred_concept, name: "programming") }
   fab!(:concept2) { Fabricate(:inferred_concept, name: "testing") }
 
+  before { enable_current_plugin }
+
   describe "#list_concepts" do
     it "returns all concepts sorted by name" do
       concepts = manager.list_concepts

spec/lib/modules/ai_bot/entry_point_spec.rb

@@ -1,6 +1,8 @@
 # frozen_string_literal: true
 
 RSpec.describe DiscourseAi::AiBot::EntryPoint do
+  before { enable_current_plugin }
+
   describe "#inject_into" do
     describe "subscribes to the post_created event" do
       fab!(:admin)

spec/lib/modules/ai_bot/jobs/regular/create_ai_reply_spec.rb

@@ -2,7 +2,9 @@
 
 RSpec.describe Jobs::CreateAiReply do
   fab!(:gpt_35_bot) { Fabricate(:llm_model, name: "gpt-3.5-turbo") }
+
   before do
+    enable_current_plugin
     SiteSetting.ai_bot_enabled = true
     toggle_enabled_bots(bots: [gpt_35_bot])
   end

spec/lib/modules/ai_bot/playground_spec.rb

@@ -14,6 +14,7 @@ RSpec.describe DiscourseAi::AiBot::Playground do
   fab!(:opus_model) { Fabricate(:anthropic_model) }
 
   fab!(:bot_user) do
+    enable_current_plugin
     toggle_enabled_bots(bots: [claude_2])
     SiteSetting.ai_bot_enabled = true
     claude_2.reload.user
@@ -58,7 +59,10 @@ RSpec.describe DiscourseAi::AiBot::Playground do
     )
   end
 
-  before { SiteSetting.ai_embeddings_enabled = false }
+  before do
+    enable_current_plugin
+    SiteSetting.ai_embeddings_enabled = false
+  end
 
   after do
     # we must reset cache on persona cause data can be rolled back

spec/lib/modules/ai_bot/site_setting_extension_spec.rb

@@ -9,7 +9,7 @@ describe DiscourseAi::AiBot::SiteSettingsExtension do
     DiscourseAi::AiBot::EntryPoint.find_user_from_model(model).present?
   end
 
-  before { SiteSetting.discourse_ai_enabled = true }
+  before { enable_current_plugin }
 
   it "correctly creates/deletes bot accounts as needed" do
     SiteSetting.ai_bot_enabled = true

spec/lib/modules/ai_helper/assistant_spec.rb

@@ -5,6 +5,7 @@ RSpec.describe DiscourseAi::AiHelper::Assistant do
   fab!(:empty_locale_user) { Fabricate(:user, locale: "") }
 
   before do
+    enable_current_plugin
     assign_fake_provider_to(:ai_helper_model)
     Group.refresh_automatic_groups!
   end

spec/lib/modules/ai_helper/chat_thread_titler_spec.rb

@@ -3,12 +3,15 @@
 RSpec.describe DiscourseAi::AiHelper::ChatThreadTitler do
   subject(:titler) { described_class.new(thread) }
 
-  before { assign_fake_provider_to(:ai_helper_model) }
-
   fab!(:thread) { Fabricate(:chat_thread) }
   fab!(:chat_message) { Fabricate(:chat_message, thread: thread) }
   fab!(:user)
 
+  before do
+    enable_current_plugin
+    assign_fake_provider_to(:ai_helper_model)
+  end
+
   describe "#suggested_title" do
     it "bails early if thread has no content" do
       empty_thread = Chat::Thread.new

spec/lib/modules/ai_helper/date_formatter_spec.rb

@@ -6,6 +6,8 @@ RSpec.describe DiscourseAi::AiHelper::DateFormatter do
   # Reference time is Tuesday Jan 16th, 2024 at 2:30 PM Sydney time
   let(:sydney_reference) { DateTime.parse("2024-01-16 14:30:00 +11:00") }
 
+  before { enable_current_plugin }
+
   describe ".process_date_placeholders" do
     describe "with Sydney timezone" do
       before do

spec/lib/modules/ai_helper/entry_point_spec.rb

@@ -4,6 +4,8 @@ describe DiscourseAi::AiHelper::EntryPoint do
   fab!(:english_user) { Fabricate(:user) }
   fab!(:french_user) { Fabricate(:user, locale: "fr") }
 
+  before { enable_current_plugin }
+
   it "will correctly localize available prompts" do
     assign_fake_provider_to(:ai_helper_model)
     SiteSetting.default_locale = "en"

spec/lib/modules/ai_helper/painter_spec.rb

@@ -6,6 +6,7 @@ RSpec.describe DiscourseAi::AiHelper::Painter do
   fab!(:user)
 
   before do
+    enable_current_plugin
     assign_fake_provider_to(:ai_helper_model)
     SiteSetting.ai_stability_api_url = "https://api.stability.dev"
     SiteSetting.ai_stability_api_key = "abc"

spec/lib/modules/ai_helper/semantic_categorizer_spec.rb

@@ -20,6 +20,8 @@ RSpec.describe DiscourseAi::AiHelper::SemanticCategorizer do
   let(:expected_embedding) { [0.0038493] * vector.vdef.dimensions }
 
   before do
+    enable_current_plugin
+
     SiteSetting.ai_embeddings_selected_model = vector_def.id
     SiteSetting.ai_embeddings_enabled = true
 

spec/lib/modules/ai_moderation/spam_scanner_spec.rb

@@ -19,7 +19,7 @@ RSpec.describe DiscourseAi::AiModeration::SpamScanner do
   end
 
   before do
-    SiteSetting.discourse_ai_enabled = true
+    enable_current_plugin
     SiteSetting.ai_spam_detection_enabled = true
   end
 

spec/lib/modules/automation/llm_triage_spec.rb

@@ -8,6 +8,8 @@ describe DiscourseAi::Automation::LlmTriage do
     DiscourseAi::Automation::LlmTriage.handle(**args)
   end
 
+  before { enable_current_plugin }
+
   it "does nothing if it does not pass triage" do
     DiscourseAi::Completions::Llm.with_prepared_responses(["good"]) do
       triage(

spec/lib/modules/automation/report_context_generator_spec.rb

@@ -43,6 +43,8 @@ module DiscourseAi
 
         fab!(:post_with_likes3) { Fabricate(:post, topic: topic_with_likes, like_count: 3) }
 
+        before { enable_current_plugin }
+
         if defined?(::DiscourseSolved)
           it "will correctly denote solved topics" do
             Fabricate(:solved_topic, topic: topic_with_likes, answer_post: post_with_likes2)

spec/lib/modules/automation/report_runner_spec.rb

@@ -34,6 +34,8 @@ module DiscourseAi
 
       fab!(:llm_model)
 
+      before { enable_current_plugin }
+
       describe "#run!" do
         it "is able to generate email reports" do
           freeze_time

spec/lib/modules/embeddings/entry_point_spec.rb

@@ -5,7 +5,10 @@ describe DiscourseAi::Embeddings::EntryPoint do
 
   fab!(:embedding_definition)
 
-  before { SiteSetting.ai_embeddings_selected_model = embedding_definition.id }
+  before do
+    enable_current_plugin
+    SiteSetting.ai_embeddings_selected_model = embedding_definition.id
+  end
 
   describe "registering event callbacks" do
     context "when creating a topic" do

spec/lib/modules/embeddings/jobs/generate_embeddings_spec.rb

@@ -5,6 +5,8 @@ RSpec.describe Jobs::GenerateEmbeddings do
 
   fab!(:vector_def) { Fabricate(:embedding_definition) }
 
+  before { enable_current_plugin }
+
   describe "#execute" do
     before do
       SiteSetting.ai_embeddings_selected_model = vector_def.id

spec/lib/modules/embeddings/schema_spec.rb

@@ -8,9 +8,11 @@ RSpec.describe DiscourseAi::Embeddings::Schema do
   fab!(:post) { Fabricate(:post, post_number: 1) }
   let(:digest) { OpenSSL::Digest.hexdigest("SHA1", "test") }
 
-  before { SiteSetting.ai_embeddings_selected_model = vector_def.id }
+  before do
-
+    enable_current_plugin
-  before { posts_schema.store(post, embeddings, digest) }
+    SiteSetting.ai_embeddings_selected_model = vector_def.id
+    posts_schema.store(post, embeddings, digest)
+  end
 
   describe "#find_by_target" do
     it "gets you the post_id of the record that matches the post" do

spec/lib/modules/embeddings/semantic_related_spec.rb

@@ -16,6 +16,7 @@ describe DiscourseAi::Embeddings::SemanticRelated do
   fab!(:vector_def) { Fabricate(:embedding_definition) }
 
   before do
+    enable_current_plugin
     SiteSetting.ai_embeddings_semantic_related_topics_enabled = true
     SiteSetting.ai_embeddings_selected_model = vector_def.id
     SiteSetting.ai_embeddings_enabled = true

spec/lib/modules/embeddings/semantic_search_spec.rb

@@ -10,6 +10,7 @@ RSpec.describe DiscourseAi::Embeddings::SemanticSearch do
   fab!(:vector_def) { Fabricate(:embedding_definition) }
 
   before do
+    enable_current_plugin
     SiteSetting.ai_embeddings_selected_model = vector_def.id
     assign_fake_provider_to(:ai_embeddings_semantic_search_hyde_model)
   end

spec/lib/modules/embeddings/semantic_topic_query_spec.rb

@@ -3,6 +3,8 @@
 describe DiscourseAi::Embeddings::EntryPoint do
   fab!(:user)
 
+  before { enable_current_plugin }
+
   describe "SemanticTopicQuery extension" do
     describe "#list_semantic_related_topics" do
       subject(:topic_query) { DiscourseAi::Embeddings::SemanticTopicQuery.new(user) }

spec/lib/modules/embeddings/strategies/truncation_spec.rb

@@ -6,6 +6,8 @@ RSpec.describe DiscourseAi::Embeddings::Strategies::Truncation do
   fab!(:open_ai_embedding_def)
   let(:prefix) { "I come first:" }
 
+  before { enable_current_plugin }
+
   describe "#prepare_target_text" do
     before { SiteSetting.max_post_length = 100_000 }
 

spec/lib/modules/embeddings/vector_spec.rb

@@ -1,6 +1,8 @@
 # frozen_string_literal: true
 
 RSpec.describe DiscourseAi::Embeddings::Vector do
+  before { enable_current_plugin }
+
   shared_examples "generates and store embeddings using a vector definition" do
     subject(:vector) { described_class.new(vdef) }