discourse-ai/spec/lib/discourse_automation/llm_triage_spec.rb

94 lines
2.9 KiB
Ruby

# 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