# frozen_string_literal: true return if !defined?(DiscourseAutomation) describe DiscourseAi::Automation::LlmTriage do fab!(:category) fab!(:reply_user) { Fabricate(:user) } let(:automation) { Fabricate(:automation, script: "llm_triage", enabled: true) } fab!(:llm_model) def add_automation_field(name, value, type: "text") automation.fields.create!( component: type, name: name, metadata: { value: value, }, target: "script", ) end before do SiteSetting.tagging_enabled = true add_automation_field("system_prompt", "hello %%POST%%") add_automation_field("search_for_text", "bad") add_automation_field("model", "custom:#{llm_model.id}") add_automation_field("category", category.id, type: "category") add_automation_field("tags", %w[aaa bbb], type: "tags") add_automation_field("hide_topic", true, type: "boolean") add_automation_field("flag_post", true, type: "boolean") add_automation_field("canned_reply", "Yo this is a reply") add_automation_field("canned_reply_user", reply_user.username, type: "user") add_automation_field("max_post_tokens", 100) end it "can trigger via automation" do post = Fabricate(:post, raw: "hello " * 5000) body = { model: "gpt-3.5-turbo-0301", usage: { prompt_tokens: 337, completion_tokens: 162, total_tokens: 499, }, choices: [ { message: { role: "assistant", content: "bad" }, finish_reason: "stop", index: 0 }, ], }.to_json WebMock.stub_request(:post, "https://api.openai.com/v1/chat/completions").to_return( status: 200, body: body, ) automation.running_in_background! automation.trigger!({ "post" => post }) topic = post.topic.reload expect(topic.category_id).to eq(category.id) expect(topic.tags.pluck(:name)).to contain_exactly("aaa", "bbb") expect(topic.visible).to eq(false) reply = topic.posts.order(:post_number).last expect(reply.raw).to eq("Yo this is a reply") expect(reply.user.id).to eq(reply_user.id) ai_log = AiApiAuditLog.order("id desc").first expect(ai_log.feature_name).to eq("llm_triage") expect(ai_log.feature_context).to eq( { "automation_id" => automation.id, "automation_name" => automation.name }, ) count = ai_log.raw_request_payload.scan("hello").size # we could use the exact count here but it can get fragile # as we change tokenizers, this will give us reasonable confidence expect(count).to be <= (100) expect(count).to be > (50) end it "does not reply to the canned_reply_user" do post = Fabricate(:post, user: reply_user) DiscourseAi::Completions::Llm.with_prepared_responses(["bad"]) do automation.running_in_background! automation.trigger!({ "post" => post }) end last_post = post.topic.reload.posts.order(:post_number).last expect(last_post.raw).to eq post.raw end end