discourse-ai/lib/ai_helper/assistant.rb

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# frozen_string_literal: true
module DiscourseAi
module AiHelper
class Assistant
def available_prompts(name_filter: nil)
cp = CompletionPrompt
prompts = []
if name_filter
prompts = [cp.enabled_by_name(name_filter)]
else
prompts = cp.where(enabled: true)
# Hide illustrate_post if disabled
prompts =
prompts.where.not(
name: "illustrate_post",
) if SiteSetting.ai_helper_illustrate_post_model == "disabled"
end
prompts.map do |prompt|
translation =
I18n.t("discourse_ai.ai_helper.prompts.#{prompt.name}", default: nil) ||
prompt.translated_name || prompt.name
{
id: prompt.id,
name: prompt.name,
translated_name: translation,
prompt_type: prompt.prompt_type,
icon: icon_map(prompt.name),
location: location_map(prompt.name),
}
end
end
def generate_prompt(completion_prompt, input, user, &block)
llm = DiscourseAi::Completions::Llm.proxy(SiteSetting.ai_helper_model)
prompt = completion_prompt.messages_with_input(input)
llm.generate(
prompt,
user: user,
temperature: completion_prompt.temperature,
stop_sequences: completion_prompt.stop_sequences,
&block
)
end
def generate_and_send_prompt(completion_prompt, input, user)
completion_result = generate_prompt(completion_prompt, input, user)
result = { type: completion_prompt.prompt_type }
result[:suggestions] = (
if completion_prompt.list?
parse_list(completion_result).map { |suggestion| sanitize_result(suggestion) }
else
sanitized = sanitize_result(completion_result)
result[:diff] = parse_diff(input, sanitized) if completion_prompt.diff?
[sanitized]
end
)
result
end
def stream_prompt(completion_prompt, input, user, channel)
streamed_result = +""
start = Time.now
generate_prompt(completion_prompt, input, user) do |partial_response, cancel_function|
streamed_result << partial_response
# Throttle the updates
if (Time.now - start > 0.5) || Rails.env.test?
payload = { result: sanitize_result(streamed_result), done: false }
publish_update(channel, payload, user)
start = Time.now
end
end
sanitized_result = sanitize_result(streamed_result)
if sanitized_result.present?
publish_update(channel, { result: sanitized_result, done: true }, user)
end
end
private
SANITIZE_REGEX_STR =
%w[term context topic replyTo input output result]
.map { |tag| "<#{tag}>\\n?|\\n?</#{tag}>" }
.join("|")
SANITIZE_REGEX = Regexp.new(SANITIZE_REGEX_STR, Regexp::IGNORECASE | Regexp::MULTILINE)
def sanitize_result(result)
result.gsub(SANITIZE_REGEX, "")
end
def publish_update(channel, payload, user)
MessageBus.publish(channel, payload, user_ids: [user.id])
end
def icon_map(name)
case name
when "translate"
"language"
when "generate_titles"
"heading"
when "proofread"
"spell-check"
when "markdown_table"
"table"
when "tone"
"microphone"
when "custom_prompt"
"comment"
when "rewrite"
"pen"
when "explain"
"question"
when "illustrate_post"
"images"
else
nil
end
end
def location_map(name)
case name
when "translate"
%w[composer post]
when "generate_titles"
%w[composer]
when "proofread"
%w[composer post]
when "markdown_table"
%w[composer]
when "tone"
%w[composer]
when "custom_prompt"
%w[composer post]
when "rewrite"
%w[composer]
when "explain"
%w[post]
when "summarize"
%w[post]
when "illustrate_post"
%w[composer]
else
%w[composer post]
end
end
def parse_diff(text, suggestion)
cooked_text = PrettyText.cook(text)
cooked_suggestion = PrettyText.cook(suggestion)
DiscourseDiff.new(cooked_text, cooked_suggestion).inline_html
end
def parse_list(list)
Nokogiri::HTML5.fragment(list).css("item").map(&:text)
end
end
end
end